Anemia, obstructive sleep apnea (OSA), and hypertension are common social health problems. They are interconnected. This study assessed the independent association of anemia and OSA with hypertension and the interaction between anemia and OSA on hypertension in the US population.

Data used by this retrospective study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2015-2018. The relative excess risk due to interaction (RERI), weighted logistic regression, and the attributable proportion due to interaction (AP) were used to investigate the interaction above. Its impact was also assessed via subgroup analysis by gender, age, race, diabetes, smoking, alcohol use, education, and marital status.

After covariate adjustment in 6949 eligible observers, it was found that compared with non-OSA patients, OSA patients were at higher risk of hypertension [odds ratio (OR) = 1.254, 95% confidence interval (CI) 1.099-1.432, P  < 0.001). Meanwhile, OSA and anemia had a potential synergistic effect on the incidence of the disease (OR = 1.705, 95% CI: 1.390-2.091, P  < 0.01): the RERI was 0.371, and the AP was 0.218. In addition, such effect was observed in the subgroup of other race (AP = 0.48), the nondrinking subgroup (AP = 2.50), the subgroup graduating from high school or above (AP = 0.28), the unmarried subgroup (AP = 0.4), the subgroup without diabetes (AP = 0.24), and the drinking subgroup (AP = 0.41).

Anemia and OSA had a potential synergistic effect on hypertension. Their relationship needs to be further elucidated by a further study.

This study aimed to investigate the relationship between sociodemographic and healthcare access factors with self-reported diabetic retinopathy (DR) prevalence in a nationally representative sample of the United States.

This is a population based, cross-sectional analysis.

Data from those who answered the question, "Have you ever been told by a doctor or other health professional that you had diabetic retinopathy?" from the 2017 National Health Interview Survey (NHIS) was analyzed through logistic regression to examine the association between DR prevalence and social determinants of health (SDH).

Of 26,966 eligible NHIS respondents (81.4%), 26,699 participants answered the DR question, of whom 266 (1.0%) self-reported a DR diagnosis. Multivariable analysis found a significant association between DR prevalence and the following social determinants of health:, poorer health status (OR = 5.9; 95% CI = 3.6-9.7; P < .001), disability (OR 2.1; 95% CI 1.3-3.2; P = .001), no employment status (OR = 1.8; 95% CI = 1.2-2.9; P = .009), and living in Southern regions of the US (OR = 1.9; 95% CI = 1.1-3.3; P = .020). Not having a usual place for healthcare (OR 0.3; 95% CI 0.1-0.7; P = .006) and female sex (OR = 0.6; 95% CI = 0.4-0.8; P = .002) were negatively associated with self-reported DR prevalence.

Multiple sociodemographic factors are associated with self-reported DR prevalence. Health care providers and policymakers should tailor future interventions to address SDH in a holistic model of DR screening and care.

Timely mental health care prevents more complex and costly psychological problems, particularly for underserved individuals utilizing HRSA-funded health centers. Patient experience with care services and provider interactions may facilitate timely mental health care access. This study explored which elements of patient experience at health centers minimize delayed access to necessary mental health care. We used cross-sectional data on adult patients who needed mental health services from the 2022 Health Center Patient Survey (N = 1039). Multi-variable logistic regression analyses examined the influence of patient experience using measures drawn from the Consumer Assessment of Healthcare Providers and Systems on delayed mental health care, accounting for predisposing, enabling, and need factors. 82% of patients did not cite delayed mental health care. 60% or more of patients reported always or usually receiving responsive and coordinated care, with over 80% reporting always or usually receiving positive provider interactions. Lower odds of delayed mental health care was associated with always getting timely callback during business hours (adjusted odds ratio [aOR]: 0.26; 95% confidence interval [CI]: 0.09, 0.76), and that the provider always listened carefully (aOR: 0.33; CI: 0.14, 0.78), provided easy to understand recommendations (aOR: 0.31, CI: 0.12, 0.79), knew the patient's medical history (aOR: 0.33, CI: 0.15, 0.73), was respectful to the patient (aOR: 0.49, CI: 0.27, 0.90), or was easy to understand (aOR: 0.51, CI: 0.29, 0.88). Care responsiveness and positive provider communication are integral to facilitating timely mental health care access for vulnerable populations with mental health needs.

Chronic diseases may negatively interfere with the course of depression. Our aim was to examine whether the association between chronic disease and course of depression is moderated by mastery.

N = 1146 persons, aged 18-88, with depressive disorder according to DSM-IV criteria were followed for two years. Outcomes were change in depression severity (change in IDS-SR) (n = 945), chronic course (life chart interview) (n = 971), depression at follow-up (DSM-diagnosis) (n = 971), and time to remission (life chart interview) (n = 799). Predictors were number of chronic somatic diseases and mastery. Regression models (linear, logistic and Cox) were used, adjusted for depression severity, sociodemographics, loneliness, smoking and alcohol use. Next, an interaction term (chronic diseases*mastery) was added to the models.

We only found significant interaction between mastery and chronic diseases (p = 0.02), when outcome was defined as change in depression severity. In analyses, stratified for level of mastery, chronic diseases were significantly associated with chronic course in persons with moderate (B = 1.03; p = 0.03) and high (B = 1.10; p = 0.02) mastery levels. In unstratified analyses, mastery was associated with both chronic course (B = -0.18, p = 0.03) and time to remission (B = 1.03; p < 0.001). Chronic diseases did not reach significance in three outcomes.

While impact of chronic diseases on depression trajectories was less consistent than expected, when present, this association was moderated by mastery, suggesting that persons with higher levels of mastery may have difficulties coping with somatic illnesses. In clinical practice, attention to the impact of somatic diseases and coping strategies, in persons with higher levels of mastery, is warranted.

To describe the prevalence of multimorbidity among individuals with primary ovarian insufficiency (POI) and early menopause compared with those with the average age of menopause.

Prospective cohort.

This prospective cohort encompassed female postmenopausal individuals from the Canadian Longitudinal Study on Aging. The Canadian Longitudinal Study on Aging collected cross-sectional data from 50,000 community-dwelling Canadians aged 45-85 years between 2010 and 2015.

The primary exposure was POI (defined by onset of menopause at the age of <40 years). Comparators included average age of menopause (age, 46-55 years), early menopause (40-45 years), and late-onset menopause (56-65 years) and those who underwent hysterectomy.

The primary outcome was multimorbidity, which was defined as two or more chronic conditions. The secondary outcomes were severe multimorbidity (defined as 3 or more chronic conditions) and frequencies of specific chronic conditions among a comprehensive list of 15 individual conditions. We assessed the association between multimorbidity and age at menopause using logistic regression and odds ratios (ORs), with confidence intervals (CIs) set at 95%. The ORs were adjusted for known predictors of multimorbidity, including age, menopausal hormone therapy, education, ethnicity, self-reported loneliness, living alone, body mass index, smoking habits, nutritional risk, social participation, and physical activity.

A total of 12,339 postmenopausal participants were included, of whom 374 (3.0%) experienced POI and 1,396 (11.3%) experienced early menopause. The prevalence rates of multimorbidity were 64.8% and 51.1% among those with POI and early menopause, respectively. In contrast, only 43.9% of individuals with average age of menopause (age, 46-55 years) had multimorbidity. The OR for multimorbidity in the POI population was 2.5 (95% CI, 2.0-3.1) compared with that in individuals who had the average age of menopause. This relationship was maintained after adjustment for confounders (adjusted OR [aOR], 2.0; 95% CI, 1.5-2.5). The prevalence of severe multimorbidity was also double in the POI group compared with that in the average age group (39.2% vs. 21.1%). There were significantly increased risks of ischemic heart disease (aOR, 2.8; 95% CI, 1.7-4.7), gastric ulcers (aOR, 1.6; 95% CI, 1.1-2.3), and osteoporosis (aOR, 1.6; 95% CI, 1.2-2.1) in the POI group.

Individuals with POI and early menopause experience increased multimorbidity compared with those undergoing menopause at an average age. This trend persists even after adjusting for significant multimorbidity risk factors.

Menopause is a significant phase in women's health, in which the incidence of obstructive sleep apnea (OSA) is significantly increased. Body fat distribution changes with age and hormone levels in postmenopausal women, but the extent to which changes in body fat distribution affect the occurrence of OSA is unclear.

This research performed a cross-sectional analysis utilizing data from the 2015-2016 National Health and Nutrition Examination Survey (NHANES). Body fat distribution was quantified using dual-energy X-ray absorptiometry in kilograms. Menopausal status and OSA symptoms were determined by questionnaire. Weighted multivariable regression analysis was utilized to investigate the correlation between menopausal status and OSA symptoms and body fat composition. We did a mediation analysis to assess how much of the effect of menopausal status on OSA symptoms was mediated through in body fat composition.

The analysis comprised 1459 individuals from NHANES, consisting of 1188 premenopausal and 271 postmenopausal women. In the weighted sample, 36.01% of premenopausal women and 53.39% of postmenopausal women had OSA symptoms. After adjusting for body mass index (BMI) and other potential confounders, menopausal status was correlated with a higher prevalence of OSA symptoms (OR = 1.57; 95% CI: 1.16,2.13), and increased visceral fat mass (β = 0.12; 95% CI: 0.07, 0.17). In addition, visceral fat mass exhibited a significant correlation with OSA symptoms (OR = 3.79; 95% CI: 1.61, 8.94). Mediation analysis showed that 29.76% of the effect of menopausal status on OSA symptoms was mediated through visceral fat. In age-matched analysis, postmenopausal women had higher visceral fat mass (0.63 kg vs. 0.52 kg, P = 0.02) and a higher prevalence of OSA symptoms (68.3% vs. 45.7%, P = 0.02) compared with premenopausal women; however, there was no significant difference in BMI (P > 0.05).

Our results suggest that menopausal status is associated with increased visceral fat accumulation and OSA symptoms prevalence. Visceral fat accumulation appears to play an important role in the development of OSA in postmenopausal women, independent of BMI; this highlights the importance of further studying this relationship.

Substantial inequalities in the overall prevalence and patterns of multimorbidity have been widely reported, but the causal mechanisms are complex and not well understood. This study aimed to identify common patterns of multimorbidity in Serbia and assess their relationship with air pollutant concentrations and water quality indicators.

This ecological study was conducted on a nationally representative sample of the Serbian population. Data were obtained from the European Health Interview (EHIS) Survey, a periodic study designed to assess population health using widely recognized standardized instruments. The study included 13,069 participants aged 15 and older, randomly selected through a multistage stratified sampling design. Multimorbidity was defined as having two or more self-reported diagnoses of chronic non-communicable diseases. Latent class analysis (LCA) was performed to identify clusters of multimorbidity. Concentrations of particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3), as well as water quality indicators, were obtained from the Serbian Environmental Protection Agency.

The overall prevalence of multimorbidity was 33.4% [32.6%-34.2%]. Six latent classes of multimorbidity were identified: Healthy, Multicondition, Cardiovascular, Metabolic syndrome, Respiratory, and Musculoskeletal. Annual increases in PM10 and SO2 concentrations, as well as daily increases in O3 concentrations, significantly raised the odds of having multimorbidity (OR = 1.02, 95% CI 1.02-1.03; OR = 1.01, 95% CI 1.00-1.02 and OR = 1.03, 95% CI 1.02-1.03, respectively). A pattern of increased risk was observed with rising levels of water contamination. Exposure to physico-chemical, microbiological and combined contamination was associated with a 3.92%, 5.17% and 5.54% higher probability, respectively, of having multiple chronic conditions. There was strong evidence that air pollutants, as well as chemical and microbial water contamination, were significantly associated with higher odds of the most common clusters of multimorbidity identified by LCA.

There is compelling evidence of an association between multimorbidity and environmental pollution, suggesting that exposure to air pollutants and water contaminants may contribute to disease accumulation and help explain geographically and socioeconomically patterned inequalities. These findings underscore the need for extensive studies that simultaneously measure both multimorbidity and pollution to explore their complex interrelationships.

The objective was to examine the associations of number and type of chronic conditions with the use of rehabilitation services among older adults with bothersome back pain.

We conducted a cohort study using the National Health and Aging Trends Study, a longitudinal survey of Medicare beneficiaries ≥65 years. We included community-dwelling older adults with bothersome back pain in 2015. We assessed 12 self-reported chronic conditions, including arthritis, depression, and anxiety. We used 2016 data to ascertain self-reported use of any rehabilitation services in the prior year. We used weighted, logistic regression to examine the association of conditions with rehabilitation use.

The sample size was 2443. A majority were age ≥75 years (59%); female (62%); and White, non-Hispanic (71%). The median number of chronic conditions was 3 (interquartile range, 2-4). Arthritis was the most common chronic condition (73%); 14% had anxiety; and 16% had depression. For every additional chronic condition, adjusted odds of any rehabilitation use increased 21% (Odds Ratio = 1.21, 95% CI = 1.11-1.31). Those with ≥4 chronic conditions had 2.13 times higher odds (95% CI = 1.36-3.34) of any rehabilitation use in the next year versus those with 0-1 condition. Participants with arthritis had 1.96 times higher odds (95% CI = 1.41-2.72) of any rehabilitation use versus those without arthritis. Anxiety and depression were not significantly associated with rehabilitation use.

Among older adults with back pain, a greater number of chronic conditions and arthritis were associated with higher use of rehabilitation services. Those with anxiety or depression had no difference in their use of rehabilitation care versus those without these conditions.

This pattern suggests appropriate use of rehabilitation for patients with back pain and multiple chronic conditions based on greater need, but there may be potential underuse for those with back pain and psychological conditions.

There are no studies exploring the correlation between sleep duration and abdominal aortic calcification (AAC). This study aims to investigate this relationship and its significance. Additionally, given the higher prevalence of sleep disorders and AAC in patients with chronic kidney disease (CKD), we conducted further studies in this population. We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2013-2014. Sleep duration was assessed by a sleep questionnaire and categorized into 2-5, 6-8, and ≥ 9 h. The AAC-24 score is determined using the Kauppila scoring system and used for AAC assessment. Multivariable linear and logistic regression analysis were used to explore the relationship between sleep duration and AAC. Among the 2,996 participants, 14.29% reported nightly short sleep (2-5 h), 77.64% reported intermediate sleep (6-8 h), and 8.08% reported long sleep (≥ 9 h). After adjusting for potential confounding factors, among male participants with CKD, long sleep (≥ 9 h) significantly increased AAC-24 scores compared with intermediate sleep (6-8 h) (β: 2.12; 95% CI: 0.75, 3.50), and the risk of severe AAC (SAAC) was increased by 1.55 times (OR: 2.55; 95% CI: 1.02, 6.36). And among female CKD and non-CKD participants, sleep duration was not associated with AAC. Long sleep duration increases the risk of AAC among male adults with CKD. Prospective studies are needed to confirm this finding.

Both sleep-related disorders (SRD) and hypertension (HTN) are closely related to the occurrence of cardiovascular disease (CVD); however, few studies have explored their combined effect. Based on the National Health and Nutrition Examination Survey (NHANES) database, we comprehensively analyzed the combined effect of SRD and HTN on the occurrence of CVD. The weighted multivariate logistic regression analysis was adopted to explore how SRD and HTN can affect the occurrence of CVD. Specifically, the additive interaction was evaluated by the relative excess risk due to interaction (RERI), attributable proportion (AP), and the synergy index (SI), and the multiplicative interaction was evaluated by the odds ratio (OR) along with 95% confidence interval (CI) from the product term. All the 33,383 participants from the NHANES database were divided into 2 groups, i.e., the CVD (n = 3712) and non-CVD (n = 29,671) groups. The results indicated that SRD (Model 3: OR = 1.90, 95% CI: 1.60-2.25) and HTN (Model 3: OR = 2.28, 95% CI: 1.87-2.79) were both significantly associated with an increased risk of CVD. Additionally, we observed a significant additive interaction (RERI = 0.88, 95% CI: 0.03-0.65; AP = 0.22, 95% CI: 0.01-0.21; SI = 1.15, 95% CI: 1.07-1.33) and a significant multiplicative interaction (OR = 1.07, 95% CI: 1.03-1.10) between SRD and HTN on the occurrence of CVD. While both SRD and HTN are associated with CVD occurrence, their interaction can also contribute to the development of CVD.

National surveillance shows that food insecurity affects ∼1 in 10 Americans each year. Recently, experts have advocated for surveillance of nutrition insecurity alongside food insecurity. Nutrition security refers to the nutritional adequacy of accessible food and factors that impact one's ability to meet food preferences.

This study presents representative estimates of food insecurity and nutrition insecurity for Los Angeles County, CA, United States; compares predictors of these constructs; and examines whether they independently predict diet-related health outcomes.

In December 2022, a representative sample of Los Angeles County adults participating in the Understanding America Study (N = 1071) was surveyed about household food insecurity and nutrition insecurity over the past 12 months. Data were analyzed in 2023.

Reported rates were similar for food insecurity (24%) and nutrition insecurity (25%), but the overlap of these subgroups was less than 60%. Logistic regression models indicated that non-Hispanic Asian individuals had higher odds of nutrition insecurity but not food insecurity. Moreover, nutrition insecurity was a stronger predictor of diabetes compared with food insecurity, and both constructs independently predicted poor mental health.

Food and nutrition insecurity affect somewhat different populations. Both constructs are valuable predictors of diet-related health outcomes. Monitoring nutrition insecurity in addition to food insecurity can provide new information about populations with barriers to healthy diets.

Hypertension, sleep disorders, and depression represent notable public health issues, and their interconnected nature has long been acknowledged. The objective of this study is to explore the interplay between sleep disorders and depression in the context of hypertension.

This cross-sectional study involved 42,143 participants aged 18 and above from the NHANES database across seven survey cycles between 2005 and 2018. After excluding those with missing data on depression, sleep disorders, and hypertension, as well as incomplete main variables, 33,383 participants remained. We used weighted logistic regression to examine the relationship between sleep disorders, depression, and hypertension. Additionally, we assessed the interaction between sleep disorders and depression on hypertension using both multiplicative and additive approaches to quantify their combined effect.

Compared to individuals without sleep disorders, those with sleep disorders have an increased risk of hypertension (OR = 1.51, 95% CI: 1.37-1.67). Furthermore, individuals with depression experience a significantly higher risk of hypertension compared to those with sleep disorders alone (OR = 2.34, 95% CI: 1.95-2.80). Our study reveals a positive interaction between sleep disorders and depression in relation to hypertension risk (OR = 1.07, 95% CI: 1.02-1.13). In addition, we observed the quantitative additive interaction indicators (RERI = 0.73, 95% CI: 0.56 ~ 0.92; API = 0.31, 95% CI: 0.11 ~ 0.46; SI = 2.19, 95% CI: 1.08-3.46) influencing hypertension risk. Furthermore, our research also identified that individuals with less than 7 h of sleep, a sleep latency period between 5 and 30 min, or a latency period exceeding 30 min experience a significantly increased risk of hypertension.

Our research uncovered separate links between sleep disorders, depression, and hypertension prevalence. Moreover, we identified an interaction between depression and sleep disorders in hypertension prevalence. Enhancing mental well-being and tackling sleep disorders could help prevent and manage hypertension. Yet, more investigation is required to establish causation and clarify mechanisms.

The geroscience hypothesis posits that aging biological processes contribute to many age-related deficits, including the accumulation of multiple chronic diseases. Though only one facet of mitochondrial function, declines in muscle mitochondrial bioenergetic capacities may contribute to this increased susceptibility to multimorbidity.

The Study of Muscle, Mobility and Aging (SOMMA) assessed ex vivo muscle mitochondrial energetics in 764 older adults (mean age = 76.4, 56.5% women, and 85.9% non-Hispanic White) by high-resolution respirometry of permeabilized muscle fibers. We estimated the proportional odds ratio (POR [95% CI]) for the likelihood of greater multimorbidity (4 levels: 0 conditions, N = 332; 1 condition, N = 299; 2 conditions, N = 98; or 3+ conditions, N = 35) from an index of 11 conditions, per SD decrement in muscle mitochondrial energetic parameters. Distribution of conditions allowed for testing the associations of maximal muscle energetics with some individual conditions.

Lower oxidative phosphorylation supported by fatty acids and/or complex I- and II-linked carbohydrates (eg, Max OXPHOSCI+CII) was associated with a greater multimorbidity index score (POR = 1.32 [1.13, 1.54]) and separately with diabetes mellitus (OR = 1.62 [1.26, 2.09]), depressive symptoms (OR = 1.45 [1.04, 2.00]) and possibly chronic kidney disease (OR = 1.57 [0.98, 2.52]) but not significantly with other conditions (eg, cardiac arrhythmia, chronic obstructive pulmonary disease).

Lower muscle mitochondrial bioenergetic capacities were associated with a worse composite multimorbidity index score. Our results suggest that decrements in muscle mitochondrial energetics may contribute to a greater global burden of disease and are more strongly related to some conditions than others.

This study aimed to evaluate the agreement of disease status collected through a survey of the Korean Atomic Bomb Survivor Cohort (K-ABC), compared with medical claim records from the Korean National Health Insurance Service (NHIS) database and the Korean Central Cancer Registry (KCCR).

Data on the lifetime physician-diagnosed morbidities of 1,215 K-ABC participants were collected through an interviewer-administered questionnaire between 2020 and 2022. Survey data were linked to the NHIS and KCCR databases. Eleven diseases were included for validation. We evaluated the following indicators: sensitivity, specificity, positive predictive value, negative predictive value, accuracy, the area under the curve, and the kappa coefficient.

The mean±standard deviation age was 62.1±18.7 years, and 42.6% of the participants were aged ≥70 years. Hypertension and cataracts showed the highest prevalence rates (33.8 and 28.8%, respectively). Hypertension, diabetes, and cancer demonstrated high sensitivity (>0.8) and specificity (>0.9), whereas diabetes, cancer, myocardial infarction, angina pectoris, and asthma exhibited high accuracy (>0.9). In contrast, arthritis, allergic rhinitis, and asthma showed low sensitivity (<0.4) and kappa values (<0.3). In the participants aged ≥70 years, the kappa value was ≥0.4 for all diseases except arthritis, allergic rhinitis, and asthma.

The results from this initial analysis showed relatively high agreement between the survey and NHIS/KCCR databases, especially for hypertension, diabetes, and cancer. Our findings suggest that the information on morbidities collected through the questionnaires in this cohort was valid for both younger and older individuals.

Hypertension is a major risk factor for cardiovascular disease and all-cause mortality worldwide. Despite the widespread availability of effective antihypertensives, blood pressure (BP) control rates remain suboptimal, even in high-income countries such as Belgium. In this study, we used a cascade of care approach to identify where most patients are lost along the continuum of hypertension care in Belgium, and to assess the main risk factors for attrition at various stages of hypertension management.

Using cross-sectional data from the 2018 Belgian Health Interview Survey and the Belgian Health Examination Survey, we estimated hypertension prevalence among the Belgian population aged 40-79 years, and the proportion that was (1) screened, (2) diagnosed, (3) linked to care, (4) in treatment, (5) followed up and (6) well-controlled. Cox regression models were estimated to identify individual risk factors for being unlinked to hypertension care, untreated and not followed up appropriately.

The prevalence of hypertension based on self-reported and measured high BP was 43.3%. While 98% of the hypertensive population had their BP measured in the past 5 years, only 56.7% were diagnosed. Furthermore, 53.4% were linked to care, 49.8% were in treatment and 43.4% received adequate follow-up. Less than a quarter (23.5%) achieved BP control. Among those diagnosed with hypertension, males, those of younger age, without comorbidities, and smokers, were more likely to be unlinked to care. Once in care, younger age, lower BMI, financial hardship, and psychological distress were associated with a higher risk of being untreated. Finally, among those treated for hypertension, females, those of younger age, and without comorbidities were more likely to receive no adequate follow-up.

Our results show that undiagnosed hypertension is the most significant barrier to BP control in Belgium. Health interventions are thus needed to improve the accurate and timely diagnosis of hypertension. Once diagnosed, the Belgian health system retains patients fairly well along the continuum of hypertension care, yet targeted health interventions to improve hypertension management for high-risk groups remain necessary, especially with regard to improving treatment rates.

Although systemic medical conditions are associated with periodontitis and tooth loss, large-scale studies that include less prevalent systemic conditions are needed. The purpose of the study was to investigate the link between periodontal disease and tooth loss with systemic medical conditions in a large and diverse population.

Dental charts of adult patients who had attended the dental clinics seeking dental therapy of the universities contributing data to the BigMouth network and accepted the protocol of the study were included. Dental Procedure Codes and Current Procedural Terminology procedures were utilised to identify patients with and without periodontitis. Data were extracted from patients' electronic health records including demographic characteristics, dental procedural codes, and self-reported medical conditions as well as the number of missing teeth.

A total of 108,307 records were ultimately included in the analysis; 42,377 of them included a diagnosis of periodontitis. The median age of the included population was 47.0 years, and 55.2% were female. Older and male individuals were significantly more likely to be in the periodontitis group and have higher number of missing teeth. A number of systemic conditions are associated with periodontitis and a higher number of missing teeth. High blood pressure, smoking, drug use, and diabetes were all found to be significant. Other significant conditions were anaemia, lymphoma, glaucoma, dialysis, bronchitis, sinusitis hepatitis, and asthma.

Within the limitations of this retrospective study that utilised the BigMouth dental data repository, the association of a number of systemic conditions such as smoking, diabetes, and hypertension with periodontitis and tooth loss has been confirmed. Additional connections have been highlighted for conditions that are not commonly reported in the literature.

Chronic health conditions impact worker outcomes but are challenging to measure using administrative workers' compensation (WC) data. The Functional Comorbidity Index (FCI) was developed to predict functional outcomes in community-based adult populations, but has not been validated for WC settings. We assessed a WC-based FCI (additive index of 18 conditions) for identifying chronic conditions and predicting work outcomes.

WC data were linked to a prospective survey in Ohio (N = 512) and Washington (N = 2,839). Workers were interviewed 6 weeks and 6 months after work-related injury. Observed prevalence and concordance were calculated; survey data provided the reference standard for WC data. Predictive validity and utility for control of confounding were assessed using 6-month work-related outcomes.

The WC-based FCI had high specificity but low sensitivity and was weakly associated with work-related outcomes. The survey-based FCI suggested more comorbidity in the Ohio sample (Ohio mean = 1.38; Washington mean = 1.14), whereas the WC-based FCI suggested more comorbidity in the Washington sample (Ohio mean = 0.10; Washington mean = 0.33). In the confounding assessment, adding the survey-based FCI to the base model moved the state effect estimates slightly toward null (<1% change). However, substituting the WC-based FCI moved the estimate away from null (8.95% change).

The WC-based FCI may be useful for identifying specific subsets of workers with chronic conditions, but less useful for chronic condition prevalence. Using the WC-based FCI cross-state appeared to introduce substantial confounding. We strongly advise caution-including state-specific analyses with a reliable reference standard-before using a WC-based FCI in studies involving multiple states.

The validity of self-reported chronic conditions has been assessed by comparing them with medical records or register data in several studies. However, the reliability of self-reports of chronic diseases has less often been examined. Our aim was to assess the proportion and determinants of inconsistent self-reports of diabetes in a long panel study.

SHARE (Survey of Health, Ageing and Retirement in Europe) includes 140,000 persons aged ≥ 50 years from 28 European countries and Israel. We used data from waves 1 to 7 (except wave 3) collected between 2004 and 2017. Diabetes was assessed by self-report. An inconsistent report for diabetes was defined as reporting the condition in one wave, but denying it in at least one later wave. The analysis data set included 13,179 persons who reported diabetes, and answered the question about diabetes in at least one later wave. Log-binomial regression models were fitted to estimate crude and adjusted relative risks (RR) with 95% confidence intervals (CI) for the associations between various exposure variables and inconsistent report of diabetes.

The proportion of persons with inconsistent self-reports of diabetes was 33.0% (95% CI: 32.2%-33.8%). Inconsistencies occurred less often in persons taking antidiabetic drugs (RR = 0.53 (0.53-0.56)), persons with BMI ≥ 35 kg/m2 versus BMI < 25 kg/m2 (RR = 0.70, (0.64-0.77)), and poor versus excellent subjective health (RR = 0.87 (0.75-1.01)). Inconsistencies occurred more often in older persons (RR = 1.15 (1.12-1.18) per 10 years increase of age), and persons not reporting their age at diabetes onset (RR = 1.38 (1.31-1.45)).

In SHARE, inconsistent self-report of diabetes is frequent. Consistent reports are more likely for persons whose characteristics make diabetes more salient, like intake of antidiabetic medication, obesity, and poor subjective health. However, lack of attention in answering the questions, and poor wording of the items may also play a role.

Background and Objectives: The purpose of this retrospective population-based cohort study was to analyse the association between attendance of physiotherapy with mortality in the Spanish general population and describe the profile of people who do not visit a physiotherapist in Spain. Material and Methods: The data sources were the 2011/2012 National Health Survey (ENSE11) and the national database of death in Spain, and the participants were all adult respondents in the ENSE11. Results: Of 20,397 people, 1101 (5.4%) visited the physiotherapist the previous year, and the cumulative incidence of total mortality was 5.4% (n = 1107) at a mean follow-up of 6.2 years. Visiting the physiotherapist was associated with lower all-cause mortality in the population residing in Spain, quantified at 30.1% [RR = 0.699; 95% CI (0.528-0.927); p = 0.013]. The factors associated with not visiting a physiotherapist were the following: rating one's health as good (9.8%; n = 1017; p < 0.001), not having any hospital admission in the previous year (9.6%; n = 1788; p < 0.001), not having visited the general practitioner in the previous month (9.6%; n = 1408; p < 0.001), and not having attended a day hospital in the previous year (9.7%; n = 1836; p < 0.001). Conclusions: Visiting a physiotherapist was associated with a lower mortality from all causes in the population living in Spain.

The World Health Organization member states proposed a comprehensive "Global Strategy on Oral Health," which includes achieving universal oral health coverage by 2030. Challenges and barriers, including persistent inequalities, will hamper the achievement of universal oral health coverage. In low- and middle-income countries, the oral health of a large proportion of the population has been neglected, increasing oral health inequalities. In high-income countries, some receive excessive dental treatment, whilst particularly those with higher needs receive too little dental care. Therefore, an analysis of individual countries' needs, encompassing the training of oral health professionals in a new philosophy of care and attention and the optimisation of the existing resources, is necessary. Distancing from a person-centred focus has prompted individual and societal issues, including under-/overdiagnosis and under-/overtreatment. The person-centred approach considers the perceptions, needs, preferences, and circumstances of individuals and populations. Patient-reported outcome measures, such as self-rated and -reported health, reflect an individual's overall perception of health and are designed to mediate human biology (ie, the disease) and psychology. The usage of patient-reported outcome measures in dentistry to place the individual at the centre of treatment is delayed compared to other areas. This paper discusses some challenges and potential solutions of patient-reported outcome measures in dentistry for achieving universal oral health coverage.

The geroscience hypothesis posits that aging biological processes contribute to many age-related deficits, including the accumulation of multiple chronic diseases. Though only one facet of mitochondrial function, declines in muscle mitochondrial bioenergetic capacities may contribute to this increased susceptibility to multimorbidity.

The Study of Muscle, Mobility and Aging (SOMMA) assessed ex vivo muscle mitochondrial energetics in 764 older adults (mean age =76.4, 56.5% women, 85.9% non-Hispanic white) by high-resolution respirometry of permeabilized muscle fibers. We estimated the proportional odds ratio (POR [95%CI]) for the likelihood of greater multimorbidity (four levels: 0 conditions, N=332; 1 condition, N=299; 2 conditions, N=98; or 3+ conditions, N=35) from an index of 11 conditions, per SD decrement in muscle mitochondrial energetic parameters. Distribution of conditions allowed for testing the associations of maximal muscle energetics with some individual conditions.

Lower oxidative phosphorylation supported by fatty acids and/or complex-I and -II linked carbohydrates (e.g., Max OXPHOSCI+CII) was associated with a greater multimorbidity index score (POR=1.32[1.13,1.54]) and separately with diabetes mellitus (OR=1.62[1.26,2.09]), depressive symptoms (OR=1.45[1.04,2.00]) and possibly chronic kidney disease (OR=1.57[0.98,2.52]) but not significantly with other conditions (e.g., cardiac arrhythmia, chronic obstructive pulmonary disease).

Lower muscle mitochondrial bioenergetic capacities was associated with a worse composite multimorbidity index score. Our results suggest that decrements in muscle mitochondrial energetics may contribute to a greater global burden of disease and is more strongly related to some conditions than others.

Background: Separate lines of research have linked hypertension and alcohol use disorder to cognition among adults. Despite known sex differences in both of these conditions, studies examining associations on cognition are limited. We aimed to determine whether hypertension impacts the relationship between alcohol use and everyday subjective cognition and whether sex moderates this relationship in middle-aged and older adults. Materials and Methods: Participants (N = 275) 50+ years of age, who reported drinking, completed surveys measuring alcohol use (Alcohol Use Disorder Identification Test consumption items), self-reported history of hypertension, and everyday subjective cognition (Cognitive Failures Questionnaire [CFQ]). Regression was used to test a moderated moderation model examining independent and interactive roles of alcohol use, hypertension, and sex on cognition (CFQ scores: total, memory, distractibility, blunders, and names). Analyses controlled for age, years of education, race, body mass index, smoking status, depressive symptoms, global subjective sleep quality, number of prescription medication used, and number of comorbid medical conditions. Results: Sex moderated the interactive associations of hypertension and alcohol use frequency on CFQ-distractibility. Specifically, in women with hypertension, more alcohol use was associated with greater CFQ-distractibility (B = 0.96, SE = 0.34, p = 0.005). Discussion: Sex moderates the interactive association of hypertension and alcohol use on some aspects of subjective cognition in mid-to-late life. In women with hypertension, alcohol use may exacerbate problems with attentional control. Further exploration of sex- and or gender-specific mechanisms underlying these is warranted.

Health-related quality of life (HRQoL) measures are essential in economic evaluation, but sometimes primary sources are unavailable, and information from secondary sources is required. Existing HRQoL UK/US catalogues are based on earlier diagnosis classification systems, amongst other issues. A recently published Danish catalogue merged EQ-5D-3L data from national health surveys with national registers containing patient information on ICD-10 diagnoses, healthcare activities and socio-demographics.

To provide (1) UK/US EQ-5D-3L-based HRQoL utility population catalogues for 199 chronic conditions on the basis of ICD-10 codes and health risks and (2) regression models controlling for age, sex, comorbidities and health risks to enable predictions in other populations.

UK and US EQ-5D-3L value sets were applied to the EQ-5D-3L responses of the Danish dataset and modelled using adjusted limited dependent variable mixture models (ALDVMMs).

Unadjusted mean utilities, percentiles and adjusted disutilities based on two ALDVMMs with different control variables were provided for both countries. Diseases from groups M, G, and F consistently had the smallest utilities and the largest negative disutilities: fibromyalgia (M797), sclerosis (G35), rheumatism (M790), dorsalgia (M54), cerebral palsy (G80-G83), post-traumatic stress disorder (F431), dementia (F00-2), and depression (F32, etc.). Risk factors, including stress, loneliness, and BMI30+, were also associated with lower HRQoL.

This study provides comprehensive catalogues of UK/US EQ-5D-3L HRQoL utilities. Results are relevant in cost-effectiveness analysis, for NICE submissions, and for comparing and identifying facets of disease burden.

The current study aimed to examine whether asthma moderates the association between the Big Five personality traits and life satisfaction. By analyzing data from 3934 people with asthma (40.09% males) with a mean age of 49.2 (S.D. = 16.94) years old and 22,914 people without asthma (42.9% males) with a mean age of 45.62 (S.D. = 17.25) years old using a hierarchical regression and multiple regressions, the current study found that asthma significantly moderates the link between Neuroticism and life satisfaction and Openness and life satisfaction after controlling for other covariates. Specifically, Neuroticism was negatively related to life satisfaction whereas Agreeableness, Openness, Conscientiousness, and Extraversion were positively associated with life satisfaction in people with and without asthma. However, the negative association between Neuroticism and life satisfaction and the positive association between Openness and life satisfaction were stronger in people with asthma compared to people without asthma.

The impact of depressive status (DS) on hypertension incidence is still controversial and has not been studied in Chinese middle-aged and elderly population. This study aimed to explore the relationship between DS and incident hypertension and analyze the joint effects of DS and body mass index (BMI) on hypertension incidence.

We conducted a prospective cohort study using data from the China Health and Retirement Longitudinal Study (CHARLS), a nationwide population-based study. In 2013, DS was identified using scores from the 10-item Centre for Epidemiological Studies Depression Scale (CES-D-10) among eligible respondents from CHARLS, and hypertension occurrence was observed until 2018. The multiple Cox models were employed to calculate the associations between DS and hypertension incidence. In addition, we also computed the multiplicative interaction (MI) between DS and BMI of incident hypertension and assessed their additive interaction (AI) through relative excess risk due to interaction (RERI), attributable proportion (AP) or synthetic index (S). Positive AI was indicated by RERI > 0, AP > 0 or S > 1.

Over the 5-year follow-up, depressive symptoms increased the risk of hypertension incidence by 19% (hazard ratio (HR) = 1.19, 95% confidence interval (CI): (1.01, 1.41)), while depression was associated with a 24% increased risk (HR = 1.24; 95% CI: (1.03, 1.50)). Significant MIs between DS and overweight or obesity were observed and almost all of AI indexes showed positive joint effects on incident hypertension, of which the depression-obesity combination had the largest joint effect (RERI = 4.47, 95%CI: (0.28, 8.66); AP = 0.67, 95%CI: (0.50, 0.85); S = 4.86,95%CI: (2.66, 8.86)).

DS could lead to hypertension and this impact was amplified when coexisting with higher BMI. It highlighted a need for precise interventions targeting weight management and depression treatment in the aging population to prevent hypertension.

Epilepsy, a severe neurological disorder impacting approximately 50 million individuals worldwide, is associated with a high prevalence of mental health issues. However, existing research has predominantly examined the relationship between epilepsy and depression or anxiety, neglecting other dimensions of mental health as assessed by factor scores from the general health survey (GHQ), such as the GHQ-12. This study aimed to explore how epilepsy affects both general mental health and specific dimensions of mental health. By employing a factor analysis and a predictive normative modeling approach, the study examined 426 epilepsy patients and 39,171 individuals without epilepsy. The findings revealed that epilepsy patients experienced poorer general mental health and specific aspects of mental health. Consequently, this study highlights the validity of GHQ-12 as a measure of mental health problems in epilepsy patients and emphasizes the importance of considering the impact of epilepsy on various dimensions of mental health, rather than focusing solely on depression or anxiety. Clinicians should incorporate these study results into the development of interventions aimed at enhancing mental well-being in epilepsy patients, ultimately leading to improved outcomes.

The causal association between chronic diseases and depression remains unclear. This study aimed to explore the effects of types and number of chronic diseases on the risk of depression using data from the Survey of Health, Ageing and Retirement in Europe (SHARE). A self-admitted questionnaire was used to obtain data on 14 predefined chronic diseases and the European-Depression Scale (EURO-D) was used to assess depression. Among the 16,080 baseline depression-free participants aged 50+, 31.29% (5032) developed depression over 13 years. Multivariate Cox regression models showed that individuals with any chronic diseases were at higher risk of new onset depression compared to disease-free participants. The risk of new onset depression increased with an increasing number of diseases among both younger (50-64) and older (65+) adults. Individuals with heart attack, stroke, diabetes, chronic lung disease, and arthritis were at increased risk of depression across age groups. However, some age-specific associations were observed, with cancer increasing depression risk among younger- and peptic ulcer, Parkinson's disease and cataracts increasing depression risk among older adults. These findings highlight the importance of managing chronic diseases, especially among those with more than two diseases, to prevent the development of depression among middle-aged and older adults.

The primary objective of this study is to explore the relationship between personality traits and self-rated health (SRH) in individuals with diabetes, while also comparing these associations with a group of healthy controls.

The data for this study were obtained from the UK Household Longitudinal Study (UKHLS), comprising a sample of 1860 diabetes patients and 12,915 healthy controls who were matched in terms of age and sex. Hierarchical linear regression was utilized to analyze the data. The analysis included demographic variables such as age, sex, monthly income, highest educational qualification, marital status, and psychological distress assessed through the GHQ-12, personality traits, including Neuroticism, Agreeableness, Openness, Conscientiousness, and Extraversion, and diabetes status (0 for diabetes patients, 1 for healthy controls) as predictors. Interactions between personality traits and diabetes status were also included as predictors, with SRH serving as the dependent variable. Additionally, separate multiple regression analyses were conducted for diabetes patients and healthy controls, incorporating demographic variables, psychological distress, and personality traits as predictors, while SRH remained the dependent variable.

The findings of this study indicate that diabetes significantly moderates the association between Neuroticism and SRH. Specifically, both Neuroticism and Extraversion were negatively associated with SRH, whereas Openness and Conscientiousness exhibited a positive association with SRH in healthy controls. However, among diabetes patients, only Conscientiousness showed a positive association with SRH.

Personality traits predict SRH in people with and without diabetes differently. Healthcare professionals and clinicians should try to come up with ways that improve SRH and thus better outcomes in diabetes patients based on the findings from the current study.

Subjective wellbeing may predict future health conditions, and lower self-rated physical health (SRH) is associated with the presence of chronic conditions, such as cardiovascular disease (CVD). This study examines whether subjective wellbeing and SRH predict long-term CVD conditions for women using the Midlife in the United States study. The study cohort includes 1716 women participants who completed waves 1 (1995-1996), 2 (2004-2006), and 3 (2013-2014). Data on demographics, chronic conditions of diabetes and CVD, subjective wellbeing (life satisfaction, positive affect, and negative affect), and SRH were collected repeatedly at each wave. Multiple logistic regressions were conducted to test whether subjective wellbeing was associated with a lifetime CVD risk. Greater life satisfaction was significantly associated with a lower risk of CVD at 10 years (odds ratio (OR): 0.83; 95% confidence interval (CI): 0.74-0.95) and 19 years (OR: 0.83; 95% CI: 0.74-0.93), while positive and negative affects were not significantly associated. Additionally, better physical SRH significantly lowered odds of having cardiovascular conditions at both 10 years (OR: 0.79; 95% CI 0.68-0.92) and 19 years (OR 0.74; 95% CI: 0.64-0.86). Measures of life satisfaction and SRH can be used as additional CVD screening tools.

Although previous studies have investigated the presence of psychometric comorbidities in individuals with emphysema, our understanding of the impact of emphysema on general mental health and specific dimensions of mental health, such as social dysfunction and anhedonia, depression and anxiety, and loss of confidence, remains limited. This research aims to examine the influence of emphysema on general mental health and its dimensions using the GHQ-12 assessment. By employing confirmatory factor analysis (CFA), the predictive normative approach, and one-sample t-test, we analyzed data from Understanding Society: the UK Household Longitudinal Study (UKHLS), including 97 individuals clinically diagnosed with emphysema and 8980 individuals without a clinical diagnosis of emphysema. The findings of this study indicate that individuals with clinically diagnosed emphysema experience poorer general mental health (t(96) = 8.41, p < 0.001, Cohen's d = 0.12, 95% C.I. [0.09, 0.15]), increased levels of social dysfunction and anhedonia (t(96) = 6.02, p < 0.001, Cohen's d = 0.09, 95% C.I. [0.06, 0.11]), heightened depression and anxiety (t(96) = 7.26, p < 0.001, Cohen's d = 0.11, 95% C.I. [0.08, 0.14]), as well as elevated loss of confidence (t(96) = 6.40, p < 0.001, Cohen's d = 0.09, 95% C.I. [0.07, 0.12]). These findings suggest the need for intervention programs aimed at improving the mental health of individuals with emphysema.

Food insecurity is a social determinant of health and is increasingly recognized as a risk factor for hypertension. Native Hawaiians bear a disproportionate burden of hypertension and known risk factors. Despite this, the relative effects of food insecurity and financial instability on blood pressure have yet to be investigated in this population. This study examines the relative effects of food insecurity and financial instability on blood pressure, controlling for potential confounders in a multiethnic sample. Participants (n = 124) were recruited from a U.S. Department of Agriculture-funded study called the Children's Healthy Living Center of Excellence. Biometrics (i.e., blood pressure, weight, and height) were measured. Demographics, physical activity, diet, psychosocial variables, food insecurity, and financial instability were assessed via self-report questionnaires. Hierarchical linear regression models were conducted. Model 1, which included sociodemographic variables and known biological risk factors, explained a small but significant amount of variance in systolic blood pressure. Model 2 added physical activity and daily intake of fruit, fiber, and whole grains, significantly improving the model. Model 3 added financial instability and food insecurity, further improving the model (R2 = 0.37, F = 2.67, p = 0.031). Food insecurity, female sex, and BMI were significantly and independently associated with increased systolic blood pressure. These results suggest a direct relationship between food insecurity and systolic blood pressure, which persisted after controlling for physical activity, consumption of fruits, fiber, and whole grains, and BMI. Efforts to reduce food insecurity, particularly among Native Hawaiians, may help reduce hypertension in this high-risk population.

Specific underlying diseases were reported to be associated with severe COVID-19 outcomes, but little is known about their combined associations. The study was aimed to assess the relations of number of and specific underlying diseases to COVID-19, severe symptoms, loss of smell, and loss of taste.

A total of 28,204 adult participants in the National Health Interview Survey 2021 were included. Underlying diseases (including cardiovascular diseases, cancer, endocrine diseases, respiratory diseases, neuropsychiatric diseases, liver and kidney diseases, fatigue syndrome, and sensory impairments), the history of COVID-19, and its symptoms were self-reported by structured questionnaires. Multivariable logistic regression models were used to assess the combined relation of total number of underlying diseases to COVID-19 and its symptoms, while mutually adjusted logistic models were used to examine their independent associations.

Among the 28,204 participants (mean ± standard deviation: 48.2 ± 18.5 years), each additional underlying disease was related to 33, 20, 37, and 39% higher odds of COVID-19 (odds ratio [OR]: 1.33, 95% confidence interval [CI]: 1.29-1.37), severe symptoms (OR: 1.20, 95% CI: 1.12-1.29), loss of smell (OR: 1.37, 95% CI: 1.29-1.46), and loss of taste (OR: 1.39, 95% CI: 1.31-1.49). In addition, independent associations of sensory impairments with COVID-19 (OR: 3.73, 95% CI: 3.44-4.05), severe symptoms (OR: 1.37, 95% CI: 1.13-1.67), loss of smell (OR: 8.17, 95% CI: 6.86-9.76), and loss of taste (OR: 6.13, 95% CI: 5.19-7.25), cardiovascular diseases with COVID-19 (OR: 1.13, 95% CI: 1.03-1.24), neuropsychiatric diseases with severe symptoms (OR: 1.41, 95% CI: 1.15-1.74), and endocrine diseases with loss of taste (OR: 1.28, 95% CI: 1.05-1.56) were observed.

A larger number of underlying diseases were related to higher odds of COVID-19, severe symptoms, loss of smell, and loss of taste in a dose-response manner. Specific underlying diseases might be individually associated with COVID-19 and its symptoms.

Pain is associated with cognitive decline among older adults, but few studies have investigated bidirectional associations between pain and cognitive decline, especially in older Hispanic populations. Our objective was to assess the bidirectional association between pain interference and cognitive performance in a sample of older Puerto Rican adults.

Data came from baseline and 4-year follow-up of the Puerto Rican Elderly: Health Conditions Study, a longitudinal representative study of Puerto Rican older adults aged 60 and older. Pain and cognitive performance were assessed at each wave. A pain interference variable was created using the sum of pain status (yes/no) and pain interference (yes/no; range 0-2). Global cognitive performance was assessed with the Mini-Mental Cabán. We tested bidirectional associations using a path model with concurrent and cross-lagged paths between pain and cognitive performance, adjusting for sociodemographic and health factors (n = 2 349).

Baseline pain interference was not associated with baseline cognitive performance (p = .636) or with cognitive performance at follow-up (p = .594). However, increased pain interference at follow-up was associated with greater cognitive decline at follow-up (β = -0.07, standard error [SE] = 0.02, p = .003). Greater baseline cognitive performance was associated with lower pain interference at follow-up (β = -0.07, SE = 0.02, p = .007).

These findings highlight the importance of worsening pain interference as a potentially modifiable risk factor for cognitive decline, as pain treatment options exist. Additionally, better baseline cognitive performance may be a protective factor for pain, providing further evidence of the dynamic relationship between pain and cognitive performance.

The current study aimed to examine how the general and dimensions of psychological distress are affected by angina.

First, a confirmatory factor analysis (CFA) was used to produce the three-factor solution of the GHQ-12. Second, a predictive normative modeling approach to predict the expected scores for 1,081 people with angina based on a model trained on demographics from 8,821 age and sex-matched people without angina. Finally, one-sample t-tests were used to determine the differences between the actual psychological distress scores and expected psychological distress scores in participants with angina.

There were three underlying structures of the GHQ-12 labeled as GHQ-12A (social dysfunction & anhedonia), GHQ-12B (depression & anxiety), and GHQ-12C (loss of confidence). Moreover, participants with angina had more psychological distress as indicated by the GHQ-12 summary score (Cohen's d = 0.31), GHQ-12A (Cohen's d = 0.34), GHQ-12B (Cohen's d = 0.21), and GHQ-12C (Cohen's d = 0.20) comparing to controls.

The current study implies that GHQ-12 is a valid measure of psychological distress in people with angina, and there is a need to consider the dimensions of psychological distress in angina rather than solely focusing on certain dimensions of psychological distress such as depression or anxiety issues in people with angina. Clinicians should come up with interventions to reduce psychological distress in people with angina which can then lead to better outcomes.

Mental health conditions in patients with coronary heart disease (CHD) are closely related to clinical outcomes. Thus, this study's goal is to investigate how CHD affects general and specific aspects of mental health.

We analyzed data from Wave 10 Understanding Society: the UK Household Longitudinal Study (UKHLS), which were collected between 2018 and 2019. After removing people who had missing data, there were 450 participants who indicated that they have CHD, and 6138 age- and sex-matched healthy participants indicated that they were not clinically diagnosed with CHD.

The main findings were that participants with CHD had more mental health problems, as shown by the GHQ-12 summary score (t (449) = 6.00, p < 0.001, 95% C.I. [0.20, 0.40], Cohen's d = 0.30), social dysfunction and anhedonia, (t (449) = 5.79, p < 0.001, 95% C.I. [0.20, 0.40], Cohen's d = 0.30), depression and anxiety (t (449) = 5.04, p < 0.001, 95% C.I. [0.15, 0.33], Cohen's d = 0.24), and loss of confidence (t (449) = 4.46, p < 0.001, 95% C.I. [0.11, 0.30], Cohen's d = 0.21).

This study implies that GHQ-12 is a valid assessment of mental health problems in CHD patients, and there is a need to consider how different aspects of mental health are affected by CHD rather than solely focusing on depression or anxiety problems alone in patients with CHD.

There is limited data on the comparative economic and humanistic burden of non-alcoholic steatohepatitis (NASH) in the United States. The objective was to examine the burden of disease comparing NASH to a representative sample of the general population and separately to a type 2 diabetes mellitus (T2DM) cohort by assessing health-related quality of life (HRQoL) measures, healthcare resource use (HRU) and work productivity and activity impairment (WPAI).

Data came from the 2016 National Health and Wellness Survey, a nationally representative patient-reported outcomes survey conducted in the United States. Respondents with physician-diagnosed NASH, physician-diagnosed T2DM, and respondents from the general population were compared. Humanistic burden was examined with mental (MCS) and physical (PCS) component summary scores from the Short-Form (SF)-36v2, concomitant diagnosis of anxiety, depression, and sleep difficulties. Economic burden was analysed based on healthcare professional (HCP) and emergency room (ER) visits, hospitalizations in the past six months; absenteeism, presenteeism, overall work impairment, and activity impairment scores on WPAI questionnaire. Bivariate and multivariable analysis were conducted for each outcome and matched comparative group.

After adjusting for baseline demographics and characteristics, NASH (N = 136) compared to the matched general population cohort (N = 544), reported significantly lower (worse) mental (MCS 43.19 vs. 46.22, p = 0.010) and physical (PCS 42.04 vs. 47.10, p < 0.001) status, higher % with anxiety (37.5% vs 25.5%, p = 0.006) and depression (43.4% vs 30.1%, p = 0.004), more HCP visits (8.43 vs. 5.17), ER visits (0.73 vs. 0.38), and hospitalizations (0.43 vs. 0.2) all p's < 0.05, and higher WPAI scores (e.g. overall work impairment 39.64% vs. 26.19%, p = 0.011). NASH cohort did not differ from matched T2DM cohort (N = 272) on mental or work-related WPAI scores, but had significantly worse physical status (PCS 40.52 vs. 44.58, p = 0.001), higher % with anxiety (39.9% vs 27.8%, p = 0.043), more HCP visits (8.63 vs. 5.68, p = 0.003) and greater activity impairment (47.14% vs. 36.07%, p = 0.010).

This real-world study suggests that burden of disease is higher for all outcomes assessed among NASH compared to matched general controls. When comparing to T2DM, NASH cohort has comparable mental and work-related impairment but worse physical status, daily activities impairment and more HRU.

Adverse childhood experiences (ACEs) are associated with multimorbidity in adulthood. This link may be mediated by psychosocial and biological factors, but evidence is lacking. The current study evaluates this mediation model.

We analyzed data from the Canadian Longitudinal Study of Aging (N = 27 170 community participants). Participants were 45-85 years at recruitment, when allostatic load and social engagement data were collected, and 3 years older at follow-up, when ACEs and multimorbidity data were collected. Structural equation modeling was used to test for mediation in the overall sample, and in sex- and age-stratified subsamples, all analyses adjusted for concurrent lifestyle confounds.

In the overall sample, ACEs were associated with multimorbidity, directly, β = 0.12 (95% confidence interval 0.11-0.13) and indirectly. Regarding indirect associations, ACEs were related to social engagement, β = -0.14 (-0.16 to -0.12) and social engagement was related to multimorbidity, β = -0.10 (-0.12 to -0.08). ACEs were related to allostatic load, β = 0.04 (0.03-0.05) and allostatic load was related to multimorbidity, β = 0.16 (0.15-0.17). The model was significant for males and females and across age cohorts, with qualifications in the oldest stratum (age 75-85).

ACEs are related to multimorbidity, directly and via social engagement and allostatic load. This is the first study to show mediated pathways between early adversity and multimorbidity in adulthood. It provides a platform for understanding multimorbidity as a lifespan dynamic informing the co-occurrence of the varied disease processes represented in multimorbidity.

Adverse Childhood Experiences (ACEs) are associated with poor health yet, we know little about how distinct patterns of ACE types are associated with cardiovascular (cardiovascular (CVD)) risk factors. The current study 1) examined associations of latent ACE classes with modifiable CVD risk factors including high cholesterol, smoking, diabetes, hypertension, high triglycerides, physical inactivity, overweight/obesity, and lifetime depression; and 2) examined the impact of socioeconomic status-related (SES) factors on these relationships. Using a cross-sectional analysis of the National Epidemiologic Survey of Alcohol and Related Conditions-III (n = 36,309) data, four latent classes of ACEs were previously identified: 1) low adversity, 2) primarily household dysfunction, 3) primarily maltreatment, and 4) multiple adversity types. We examined the association of these classes with CVD risk factors in adulthood and subsequently, the same model accounting for SES-related factors. Tobacco smoking, overweight/obesity, and lifetime depression were each associated with higher odds of being in classes 2, 3, and 4 than class 1, respectively. These relationships held after adjusting for SES-related factors. Class 4 was associated with the most CVD risk factors, including high triglycerides and high cholesterol after controlling for SES-related factors. The consistent associations between tobacco smoking, overweight/obesity, and lifetime depression with each adverse ACE profile, even after controlling for SES, suggest behavioural CVD prevention programs should target these CVD risk factors simultaneously.

Limited studies have explored the predictive efficiency of prediabetes based on two definitions for diabetes among Chinese middle-aged and older populations with prediabetes.

To evaluate the predictive efficiency of prediabetes based on two definitions for diabetes and the clinical and public health benefit in Chinese middle-aged and older populations.

A 5-year cohort study from the China Health and Retirement Longitudinal Study.

A total of 5208 participants who had blood sample data at baseline in 2011.

The exposure was prediabetes based on American Diabetes Association (ADA) and World Health Organization (WHO) definition. The main outcome was incident diabetes. The ability of prediabetes for predicting diabetes was assessed by sensitivity, specificity, positive predictive value, and negative predictive value. Cox proportional hazards regression was used to explore the associations between prediabetes and the 5-year risk of diabetes and all-cause mortality.

Among those with prediabetes according to the ADA definition, only 426 (15.45%) with baseline prediabetes progressed to total diabetes, while according to the WHO definition, 208 (21.89%) progressed to total diabetes. In terms of the ability of predicting the incident total diabetes in 5 years, the ADA definition has a higher sensitivity than the WHO definition (70.76% versus 34.55%, P < 0.001), while the WHO definition has a higher specificity than the ADA definition (84.09% versus 49.35%, P < 0.001). Positive predictive values based on the two definitions were low (< 24%); negative predictive values were high (> 90%).

Neither definition of prediabetes is robust for predicting diabetes development in Chineses middle-aged and older populations.

Diabetes and hypertension are common in Asian Americans and vary by subgroup. There may be further variation by social determinants of health (SDOHs), but few studies have examined this previously.

To examine the associations of SDOHs and diabetes and hypertension within and across Asian subgroups in the USA DESIGN: Series cross-sectional analyses SETTING: National Health Interview Surveys (NHIS) from 1999 to 2018 PARTICIPANTS: Asian-American adults (Chinese, Filipino, Asian Indian, and Other Asian [Korean, Vietnamese, Japanese, and other]) MEASUREMENTS: Self-reported diabetes and hypertension prevalence in pooled 5-year increments over 1999-2018 and multivariable regression models to assess the adjusted prevalence of diabetes or hypertension by poverty, marital status, education, and years in the USA, adjusting for age, sex, BMI, and health insurance status RESULTS: From 1999-2003 to 2014-2018, the age- and sex-adjusted prevalence of diabetes increased for Other Asians (absolute change: 4.6%) but not for other subgroups; age- and sex-adjusted hypertension prevalence significantly increased for Asian Indians and Other Asians (absolute change: 5-7.5%). For Filipinos, high school education or less was associated with an increase in diabetes prevalence over time (difference from 1999-2003 to 2014-2018: +6.0 (95% CI: 2.0-10.0)), while for Asian Indians, college education or higher was associated with an increase in diabetes prevalence for the same period (difference: +2.7 (95% CI: 0.01-5.4). Differences over the 2 time periods (1999-2003 and 2014-2018) show that Filipino and Other Asians, who lived in the USA for ≥10 years, increased in diabetes prevalence. Similar variations in associations of SDOHs by Asian subgroup were seen for hypertension.

Self-reported primary outcomes and multi-year data were pooled due to small sample sizes.

The influence of SDOHs on cardiometabolic risk is not uniform among Asian Americans, implying tailored strategies may be needed for different population subgroups.

NIH.