• Hepatic steatosis
• Metabolic dysfunction associated steatotic liver disease (MASLD)
• Metabolic syndrome
• Nonalcoholic fatty liver disease (NAFLD)
• Obesity

• Humans
• Weight Loss/physiology
• Liver Cirrhosis/metabolism
• Liver Cirrhosis/therapy
• Liver Cirrhosis/etiology
• Non-alcoholic Fatty Liver Disease/therapy
• Bariatric Surgery

• Adult
• All of us
• Machine learning
• Models
• Obesity
• Prediction
• Weight gain

• Humans
• Machine Learning
• Weight Gain
• Female
• Adult
• Middle Aged
• Male
• United States/epidemiology
• Aged
• Young Adult
• Obesity/diagnosis
• Obesity/epidemiology
• Electronic Health Records/statistics & numerical data
• Adolescent
• Body Mass Index

• T32 DK007665 NIDDK NIH HHS

• Alcohol drinking
• body mass index
• polymorphisms
• genetic
• metabolism
• risk factors
• obesity

• Humans
• Argentina/epidemiology
• Alcohol Drinking/epidemiology
• Alcohol Drinking/genetics
• Female
• Male
• Adult
• Middle Aged
• Obesity/genetics
• Obesity/epidemiology
• Body Mass Index
• Body Weight
• Polymorphism, Genetic
• Overweight/genetics
• Overweight/epidemiology
• Aldehyde Dehydrogenase/genetics
• Young Adult

• Menopause
• Obesity
• Predictors
• Weight gain

• Female
• Humans
• Exercise
• Menopause
• Obesity/epidemiology
• Obesity/complications
• Perimenopause

• Male
• Humans
• Female
• Diabetes Mellitus, Type 2/epidemiology
• Risk Factors
• Body Mass Index
• Alcohol Drinking/adverse effects
• Alcohol Drinking/epidemiology
• Cohort Studies

• R01 AA028009 NIAAA NIH HHS
• R01AA028009 NIAAA NIH HHS
• National Institute on Alcohol Abuse and Alcoholism

• alcohol
• health outcomes
• long term
• moderation
• red wine

• Alcohol consumption
• Burden
• Joinpoint regression
• Obesity
• Overweight
• Trends

• Alcohol consumption
• Baseline and changes
• Body mass index
• Genetic and environmental correlations
• Longitudinal twin study
• Weight gain

• Adult
• Female
• Humans
• Male
• Alcohol Drinking/genetics
• Body Mass Index
• Cohort Studies
• Longitudinal Studies
• Twins, Dizygotic/genetics
• Twins, Monozygotic/genetics

• Male
• Humans
• Female
• Young Adult
• Body Mass Index
• Waist Circumference
• Coronary Vessels
• Prospective Studies
• Alcoholic Beverages

• HHSN268201800005I NHLBI NIH HHS
• HHSN268201800007I NHLBI NIH HHS
• HHSN268201800003I NHLBI NIH HHS
• HHSN268201800006I NHLBI NIH HHS
• HHSN268201800004I NHLBI NIH HHS
• R01 HL104580 NHLBI NIH HHS
• R01 DK098072 NIDDK NIH HHS
• T32 DK007686 NIDDK NIH HHS
• P2C HD050924 NICHD NIH HHS
• National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham
• National Heart, Lung, and Blood Institute in collaboration with Northwestern University
• National Heart, Lung, and Blood Institute in collaboration with the University of Minnesota
• National Heart, Lung, and Blood Institute in collaboration with the Kaiser Foundation Research Institute
• National Institutes of Health, NIH,
• National Institutes of Health
• Eunice Kennedy Shriver National Institute of Child Health and Human Development

• alcohol dependence
• anxiety
• chronic alcohol exposure
• neuroinflammation
• oxidative stress
• withdrawal

• adiposity
• alcohol
• body composition
• wine

• K99 AG047282 NIA NIH HHS
• R00 AG047282 NIA NIH HHS
• NIH Clinical Center
• Alzheimer's Association

• adiposity
• alcohol
• body fat percentage
• body mass index
• waist circumference
• waist to hip ratio

• Adiposity
• Alcohol Drinking/epidemiology
• Biological Specimen Banks
• Body Mass Index
• Female
• Humans
• Male
• Obesity/epidemiology
• Obesity/etiology
• United Kingdom/epidemiology
• Waist Circumference

• MC_PC_17228 Medical Research Council
• MC_QA137853 Medical Research Council

Excessive alcohol consumption, as part of an unhealthy lifestyle, can contribute to metabolic abnormalities. This study investigated the sex differences in the relationship between excessive drinking and the risk of metabolic abnormalities. This community-based study included 3387 participants (age range: 30–103 years, mean age ± SD: 57 ± 13.5 years, 38.2% males) from the northeastern region of Taiwan. All participants completed a demographic survey and were subjected to blood tests. The risks of excessive drinking were evaluated using the Alcohol Use Disorder Identification Test (AUDIT). The results showed that males were at higher risks of obesity, hypertension, and hypertriglyceridemia, but at a lower risk of abdominal obesity than females. Males with hazardous drinking were at greater risks of hypertension, hyperglycemia, low serum levels of high-density lipoprotein cholesterol, and hypertriglyceridemia compared to those with no drinking. Females with hazardous drinking were at a greater risk of hypertension than those with no drinking. There was no interaction effect of sex and excessive drinking on the risks of metabolic abnormalities after controlling for demographics and lifestyle-related habits. Future studies are warranted to explore the sex-specific risk factors for metabolic abnormalities and to elucidate the mechanism underlying this association between alcohol consumption and metabolic abnormalities.

Pre-pregnancy, pregnancy and postpartum are critical life stages associated with higher weight gain and obesity risk. Among these women, the sociodemographic groups at highest risk for suboptimal lifestyle behaviours and core lifestyle components associated with excess adiposity are unclear. This study sought to identify subgroups of women meeting diet/physical activity (PA) recommendations in relation to sociodemographics and assess diet/PA components associated with body mass index (BMI) across these life stages. Cross-sectional data (Australian National Nutrition and Physical Activity Survey 2011–2012) were analysed for pre-pregnancy, pregnant and postpartum women. The majority (63–95%) of women did not meet dietary or PA recommendations at all life stages. Core and discretionary food intake differed by sociodemographic factors. In pre-pregnant women, BMI was inversely associated with higher whole grain intake (β = −1.58, 95% CI −2.96, −0.21; p = 0.025) and energy from alcohol (β = −0.08, −0.14, −0.005; p = 0.035). In postpartum women, BMI was inversely associated with increased fibre (β = −0.06, 95% CI −0.11, −0.004; p = 0.034) and PA (β = −0.002, 95% CI −0.004, −0.001; p = 0.013). This highlights the need for targeting whole grains, fibre and PA to prevent obesity across life stages, addressing those most socioeconomically disadvantaged.

• Alcohol
• Hypertension
• Insulin resistance
• Metabolic-associated fatty liver disease
• Obesity

• African Americans
• Alcohol use
• Blacks
• Body mass index
• Cancer prevention
• Exercise
• Obesity
• Physical activity

• diet
• physical activity
• postpartum
• preconception
• pregnancy
• weight gain

• Abdominal obesity
• alcohol
• meta-analysis
• obesity
• overweight

There is conflicting evidence for the association between alcohol consumption and common joint conditions such as Osteoarthritis (OA), which affects millions of people. We sought to determine the true association between alcohol intake and OA. We conducted a PRISMA systematic review and meta-analysis of observational studies that reported associations between alcohol consumption and OA. Pooled estimates of association were represented through odds ratios (ORs). Publication bias was assessed with Funnel and Galbraith plots, and risk of bias was assessed with the Newcastle Ottawa Scale. We included 29 studies and 25,192 subjects with OA and reported an OR between any alcohol consumption and OA of 0.79 (0.68–0.93), suggesting a protective effect. OR of weekly or more frequent use was 0.79 (0.65–0.97). When grouped by covariates, alcohol consumption was negatively associated with radiographic (0.83, 0.70–0.98), hand (0.80, 0.66–0.95) and knee OA (0.85, 0.72–0.99), North American ethnicity and female gender. Subgroup analysis of unadjusted data resulted in an OR of 0.70 (0.55–0.89) but this disappeared upon analysis of studies with data adjusted for any covariate (0.93, 0.78–1.10). Whilst our pooled analysis suggest that weekly or more frequent alcohol consumption was negatively associated with OA, this was not observed when adjusted for confounding factors. Reasons for this include selection bias and lack of longitudinal exposure and adjustment for confounding variables. Therefore, this meta-analysis provides evidence to dispel notions that alcohol use may be protective against OA.

• Alcohol
• Epidemiology
• Meta-analysis
• Osteoarthritis

• Alcohol use
• Exercise
• Mexican Americans
• Obesity

• diseases
• health care
• health occupations

• Age Factors
• Aged
• Aged, 80 and over
• Alcohol Drinking/adverse effects
• Alcohol Drinking/epidemiology
• Body Mass Index
• China/epidemiology
• Cross-Sectional Studies
• Diet/adverse effects
• Diet/statistics & numerical data
• Diet Surveys
• Female
• Humans
• Male
• Middle Aged
• Obesity/epidemiology
• Obesity/etiology
• Rural Population/statistics & numerical data
• Smoking/adverse effects
• Smoking/epidemiology
• Surveys and Questionnaires

• National Natural Science Foundation of China

• adiposity
• adults
• alcohol
• alcoholic drinks
• obesity

• Adiposity
• Adult
• Alcohol Drinking/epidemiology
• Alcoholic Beverages/adverse effects
• Biological Specimen Banks
• Female
• Humans
• Male
• Middle Aged
• Obesity/epidemiology
• Obesity/etiology
• United Kingdom/epidemiology

• MC_PC_17228 Medical Research Council
• MC_QA137853 Medical Research Council

Numerous epidemiological studies have reported that moderate alcohol drinking has beneficial effects. However, few studies have focused on the beneficial effects of ethanol, the common component in alcoholic beverages. Here we fed the C57BL/6 mice with 3.5% v/v ethanol as drinking water substitute to investigate the effects of long-term low-dose ethanol intake in vivo. We evaluated the metabolic rate and mitochondrial function of the long-term low-dose ethanol-intake (LLE) mice, assessed the exercise ability of LLE mice, and fed the LLE mice with a high-fat diet to investigate the potential impact of ethanol on it. The LLE mice showed improved thermogenic activity, physical performance, and mitochondrial function, as well as resistance against the high-fat diet-induced obesity with elevated insulin sensitivity and subdued inflammation. Our results suggest that long-term low-dose ethanol intake can improve healthspan and resist high-fat diet-induced obesity in mice. It may provide new insight into understanding the protective effects of moderate alcohol drinking.

• alcohol
• ethanol
• insulin resistance
• obesity
• thermogenic activity

• Healthcare workers
• health risk behaviors
• occupational health
• physical activity
• prevalence

• Adult
• Cross-Sectional Studies
• Exercise
• Female
• Guideline Adherence
• Health Personnel
• Health Surveys
• Humans
• Male
• Prevalence
• United States

• K23 NR014661 NINR NIH HHS

Background: High consumption of red meat, which is carcinogenic to humans, and misuse or abuse of alcohol drinking increase premature death and shortened life expectancy. The aim of this study was to examine the association of alcohol and red meat consumption with life expectancy (LE) by analyzing data from 164 countries using an ecological approach. Design: This was a longitudinal ecological study using data from the United Nation’s (UN) Food and Agriculture Organization (FAO) for 164 countries over the period 1992–2013. In regression analysis, the relationship of alcohol and red meat consumption with LE was estimated using a pooled ordinary least squares regression model. Alcohol and red meat consumption were measured every 5 years. Results: The consumption of alcohol and red meat in high-income countries (HIC) was about 4 times (36.8–143.0 kcal/capita/day) and 5 times (11.2–51.9 kcal/capita/day) higher than that in low-income countries (LIC). Red meat and alcohol consumption had a negative estimated effect on LE in HIC (b = −1.616 p = < 0.001 and b = −0.615, p = 0.003). Alcohol consumption was negatively associated with LE for all income groups, while positive relationships were found for all estimates associated with gross national income (GNI). Conclusions: Red meat and alcohol consumption appeared to have a negative impact on LE in high-income countries (HIC) and upper-middle-income countries (UMIC), although it had no significant association with LE in low-income countries (LIC) or lower-middle-income countries (LMIC). This study suggests reviewing the policies on the gradual reduction of alcohol abuse and the high consumption of red meat, particularly HIC and UMIC.

• Alcohol consumption, longitudinal ecological analysis
• cancer
• heart disease
• life expectancy
• red meat consumption

• Alcohol Drinking/adverse effects
• Cardiovascular Diseases/etiology
• Data Analysis
• Developing Countries
• Diabetes Mellitus/etiology
• Eating
• Female
• Humans
• Income
• Life Expectancy
• Liver Diseases/etiology
• Longitudinal Studies
• Male
• Neoplasms/etiology
• Red Meat/adverse effects
• Regression Analysis
• Risk
• Time Factors

• alcohol
• beer
• body composition
• exercise
• fat mass
• high intensity interval training
• lean mass
• training program
• visceral adipose tissue

• Adolescent
• Adult
• Beer
• Body Composition/drug effects
• Ethanol/pharmacology
• Female
• High-Intensity Interval Training
• Humans
• Male
• Young Adult

• 29,870.00 € Centro de Información Cerveza y Salud

• Alcohol Use
• College Students
• Energy Intake
• Risky Drinking
• Weight Gain

Excessive alcohol intake has been shown to be associated with cardiovascular disease via metabolic pathways. However, the relationship between alcohol intake and obesity has not been fully elucidated. We aimed to examine the association of alcohol consumption with fat deposition and anthropometric measures.

From 2006–2008, we conducted a cross-sectional study in a population-based sample of Japanese men aged 40 through 79 years. Areas of abdominal visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were calculated using computed tomography imaging. Based on a questionnaire, we classified participants into five groups according to weekly alcohol consumption, excluding former drinkers: non-drinkers (0 g/week), 0.1–160.9, 161–321.9, 322–482.9, and ≥483 g/week. Multivariable linear regression was used to estimate adjusted means of obesity indices for each group.

We analyzed 998 men (mean age and body mass index [BMI], 63.8 years and 23.6 kg/m², respectively). Higher weekly alcohol consumption was strongly and significantly associated with higher abdominal VAT area, percentage of VAT, and VAT-to-SAT ratio (all P for trend <0.001), and also with waist circumferences and waist-to-hip ratio (P for trend = 0.042 and 0.007, respectively). These associations remained significant after further adjustment for BMI, whereas alcohol consumption had no significant association with abdominal SAT area.

Higher alcohol consumption was associated with higher VAT area, VAT%, and VAT-to-SAT ratio, independent of confounders, including BMI, in general Japanese men. These results suggest that alcohol consumption may have a potential adverse effect on visceral fat deposition.

• alcohol consumption
• anthropometric obesity indice
• fat deposition
• visceral adipose tissue

• diet
• eating frequency
• energy contribution
• food intake
• obesity
• overweight
• portion size

• Adolescent
• Adult
• Aged
• Body Mass Index
• Brazil/epidemiology
• Cross-Sectional Studies
• Energy Intake
• Female
• Health Transition
• Humans
• Logistic Models
• Male
• Middle Aged
• Nutrition Surveys
• Obesity/epidemiology
• Obesity/ethnology
• Obesity/etiology
• Overweight/epidemiology
• Overweight/ethnology
• Overweight/etiology
• Pediatric Obesity/epidemiology
• Pediatric Obesity/ethnology
• Pediatric Obesity/etiology
• Portion Size/ethnology
• Portion Size/trends
• Prevalence
• Urban Health/ethnology
• Urban Health/trends
• Weight Gain
• Young Adult

• K01 HL120951 NHLBI NIH HHS
• P30 DK111022 NIDDK NIH HHS

• alcohol consumption
• fusel alcohols
• intoxicating degree
• liquor products
• mice model

• Alcoholic Beverages/analysis
• Alcoholic Beverages/toxicity
• Alcohols/chemistry
• Amino Acids/chemistry
• Animals
• Behavior, Animal/drug effects
• Esters/chemistry
• Male
• Mice
• Random Allocation

Both smoking and obesity are separately associated with sickness absence. Unhealthy lifestyle habits and health conditions may occur concurrently yet studies focusing on their joint association are few. This study examined the joint associations of smoking and obesity with sickness absence (SA).

A mail survey among employees of the City of Helsinki, Finland, during 2000–2002 included data on obesity, smoking and covariates (N = 8960, response rate 67%, 80% women). These data were prospectively linked with register data on self- (1–3 days) and medically certified (4 days or longer) SA among those consenting to the linkage (n = 6986). Pregnant, underweight and those with missing data on key variables were excluded (n = 138). The total number of participants included in the analyses was 6847. The follow-up time was 5 years. Poisson regression was used to calculate rate ratios (RR).

Among women and men smoking and obesity were associated with self-certified SA. Among women there was a joint association with self-certified SA (obese smokers RR 1.81, 95% CI 1.59–2.07).

Among women and men smoking and obesity were jointly associated with medically certified SA (for obese smoking women RR 2.23, 95% CI 1.93–2.57, for obese smoking men RR 2.69, 95% CI 2.03–3.55). Associations remained after adjustments for socioeconomic position, working conditions, health behaviours and self-rated health.

Both smoking and obesity are jointly associated with all lengths of sickness absence. Support measures for smoking cessation and prevention of obesity could likely to reduce SA.

• Absenteeism
• Cohort
• Epidemiology
• Life-style
• Mid-life
• Middle aged
• Work disability

Effects of white wine and the role of wine polyphenols on weight gain in rats of different age were examined in the 4-week-voluntary-consumption trial.

Biochemically characterized standard (low polyphenols, W) and macerated (high polyphenolic content, PW) white wines were compared. One- and three-month-old Sprague-Dawley male rats (n = 78) were used. Each age group was subdivided into water-only-drinking controls (C), W, and PW-drinking animals. Daily wine and total liquid consumption, food intake, and body weight were measured, and energy intake and feed efficiency index were calculated.

In both age categories, wine-drinking animals consumed less food and gained less weight in comparison to C (181 ± 2, 179 ± 6, and 201 ± 5 in younger animals and 32 ± 5, 28 ± 6, and 47 ± 4 grams in older animals, resp.), regardless of wine type. Total energy intake was the lowest in PW-drinking animals.

Wine-drinking animals gained less weight in comparison to C, regardless of the wines' polyphenol content. Although our results are indicative of the major role of nonphenolic constituents of the wines (probably ethanol), the modifying role of wine phenolics on weight gain cannot be excluded as the group consuming PW had lower total energy intake than other groups.

The purpose of this study is to assess the prevalence of overweight/obesity, abdominal obesity and obesity-related risk factors in southern China.

A cross-sectional survey of 15,364 participants aged 15 years and older was conducted from November 2013 to August 2014 in Jiangxi Province, China, using questionnaire forms and physical measurements. The physical measurements included body height, weight, waist circumference (WC), body fat percentage (BFP) and visceral adipose index (VAI). Multivariate logistic regression analysis was performed to evaluate the risk factors for overweight/obesity and abdominal obesity.

The prevalence of overweight was 25.8% (25.9% in males and 25.7% in females), while that of obesity was 7.9% (8.4% in males and 7.6% in females). The prevalence of abdominal obesity was 10.2% (8.6% in males and 11.3% in females). The prevalence of overweight/obesity was 37.1% in urban residents and 30.2% in rural residents, and this difference was significant (P < 0.001). Urban residents had a significantly higher prevalence of abdominal obesity than rural residents (11.6% vs 8.7%, P < 0.001). Among the participants with an underweight/normal body mass index (BMI), 1.3% still had abdominal obesity, 16.1% had a high BFP and 1.0% had a high VAI. Moreover, among obese participants, 9.7% had a low /normal WC, 0.8% had a normal BFP and 15.9% had a normal VAI. Meanwhile, the partial correlation analysis indicated that the correlation coefficients between VAI and BMI, VAI and WC, and BMI and WC were 0.700, 0.666, and 0.721, respectively. A multivariate logistic regression analysis indicated that being female and having a high BFP and a high VAI were significantly associated with an increased risk of overweight/obesity and abdominal obesity. In addition, living in an urban area and older age correlated with overweight/obesity.

This study revealed that obesity and abdominal obesity, which differed by gender and age, are epidemic in southern China. Moreover, there was a very high, significant, positive correlation between WC, BMI and VAI. However, further studies are needed to explore which indicator of body fat could be used as the best marker to indirectly reflect cardiometabolic risk.

• Australia
• Behaviour
• Body mass index
• Gender
• Inequality
• Multilevel model

• Diet
• Lifestyle factors
• Obesity
• Overweight
• Physical activity
• South Asia
• Sri Lanka

• Adult
• Alcohol Drinking
• Body Mass Index
• Cross-Sectional Studies
• Diet
• Ethnicity
• Exercise
• Feeding Behavior
• Humans
• Income
• Life Style
• Logistic Models
• Male
• Obesity/epidemiology
• Obesity/etiology
• Obesity/prevention & control
• Odds Ratio
• Overweight/epidemiology
• Overweight/etiology
• Overweight/prevention & control
• Prevalence
• Sleep
• Smoking
• Snacks
• Sri Lanka/epidemiology
• Surveys and Questionnaires
• Waist Circumference
• Young Adult

• Rajarata University of Sri Lanka

Obesity is a major epidemic for developed countries in the 21st century. The main cause of obesity is energy imbalance, of which contributing factors include a sedentary lifestyle, epigenetic factors and excessive caloric intake through food and beverages. A high consumption of caloric beverages, such as alcoholic or sweetened drinks, may particularly contribute to weight gain, and lower satiety has been associated with the intake of liquid instead of solid calories. Our objective was to evaluate the association between the substitution of a serving per day of water for another beverage (or group of them) and the incidence of obesity and weight change in a Mediterranean cohort, using mathematical models. We followed 15,765 adults without obesity at baseline. The intake of 17 beverage items was assessed at baseline through a validated food-frequency questionnaire. The outcomes were average change in body weight in a four-year period and new-onset obesity and their association with the substitution of one serving per day of water for one of the other beverages. During the follow-up, 873 incident cases of obesity were identified. In substitution models, the consumption of water instead of beer or sugar-sweetened soda beverages was associated with a lower obesity incidence (the Odds Ratio (OR) 0.80 (95% confidence interval (CI) 0.68 to 0.94) and OR 0.85 (95% CI 0.75 to 0.97); respectively) and, in the case of beer, it was also associated with a higher average weight loss (weight change difference = −328 g; (95% CI −566 to −89)). Thus, this study found that replacing one sugar-sweetened soda beverage or beer with one serving of water per day at baseline was related to a lower incidence of obesity and to a higher weight loss over a four-year period time in the case of beer, based on mathematical models.

• Mediterranean cohort
• beer
• body weight
• obesity
• soft drinks
• water

• adults
• alcohol use
• physical activity
• systematic review

• body mass index
• endogeneity
• epidemiologic methods
• fixed effects
• health behaviors
• instrumental variables
• semiparametric methods
• simultaneous equations

• Adolescent
• Adult
• Alcohol Drinking/adverse effects
• Body Mass Index
• Coronary Artery Disease/etiology
• Coronary Artery Disease/prevention & control
• Coronary Vessels/pathology
• Coronary Vessels/physiopathology
• Exercise
• Fast Foods/adverse effects
• Female
• Health Behavior/physiology
• Humans
• Least-Squares Analysis
• Likelihood Functions
• Longitudinal Studies
• Male
• Marital Status
• Models, Biological
• Multicenter Studies as Topic
• Protective Factors
• Reproductive History
• Residence Characteristics
• Risk Assessment/methods
• Smoking/adverse effects
• Young Adult

• HHSN268201300027C NHLBI NIH HHS
• R01 HL114091 NHLBI NIH HHS
• P30 DK056350 NIDDK NIH HHS
• P2C HD050924 NICHD NIH HHS
• R01 HL104580 NHLBI NIH HHS
• HHSN268201300026C NHLBI NIH HHS
• P30 ES010126 NIEHS NIH HHS
• UL1 TR001453 NCATS NIH HHS
• HHSN268201300025C NHLBI NIH HHS
• HHSN268200900041C NHLBI NIH HHS
• HHSN268201300028C NHLBI NIH HHS
• R24 HD050924 NICHD NIH HHS
• HHSN268201300029C NHLBI NIH HHS
• National Heart, Lung, and Blood Institute (NHLBI)
• NHLBI
• National Institute on Aging (NIA)
• NIA
• Carolina Population Center, University of North Carolina at Chapel Hill
• Eunice Kennedy Shriver National Institute of Child Health and Human Development
• Nutrition Obesity Research Center, University of North Carolina
• National Institute for Diabetes and Digestive and Kidney Diseases
• UNC Center for Environmental Health and Susceptibility, University of North Carolina
• National Institute of Environmental Health Sciences
• National Institutes of Health

• drinking
• menopause
• obesity
• women

• Alcohol relapse risk
• Blood glucose
• Glucose tolerance test
• Postprandial lipemia
• Total cholesterol blood
• Triglycerides blood

• Adult
• Alcoholism/blood
• Blood Glucose
• Fasting
• Female
• Humans
• Lipids/blood
• Male
• Middle Aged
• Postprandial Period
• Recurrence

• Colorectal cancer
• Cytokine
• Nutrition
• Odds ratio
• Polyunsaturated fatty acids

• Biomarkers, Tumor/blood
• Colorectal Neoplasms/blood
• Cytokines/blood
• Fatty Acids, Omega-3/blood
• Fatty Acids, Omega-6/blood
• Humans
• Inflammation Mediators/blood

• Adult
• Age of Onset
• Aged
• Aged, 80 and over
• Aging
• Alcohol Drinking
• Body Weight
• Dementia/prevention & control
• Diet
• Disabled Persons
• Frail Elderly
• Health Behavior
• Humans
• Middle Aged
• Minority Health
• Motor Activity
• Risk Factors
• Smoking/adverse effects