Systematic Reviews Open Access
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Meta-Anal. Jun 18, 2023; 11(5): 196-217
Published online Jun 18, 2023. doi: 10.13105/wjma.v11.i5.196
Exploratory systematic review and meta-analysis on period poverty
Gayathri Delanerolle, Heitor Cavalini, Sana Sajid, Shanaya Rathod, Jian-Qing Shi, Peter Phiri, Department of Research & Innovation, Southern Health NHS Foundation Trust, Southampton SO30 3JB, United Kingdom
Gayathri Delanerolle, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7JX, United Kingdom
Xiao-Jie Yang, School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, Yunnan Province, China
Xiao-Jie Yang, Ashish Shetty, University College London, London WC1E 6BT, United Kingdom
Om P Kurmi, Centre for Intelligent Healthcare, Institute of Health and Wellbeing, Coventry University, Coventry CV1 5LB, United Kingdom
Camilla Mørk Røstvik, Centre for Contemporary Art, University of St Andrews, Scotland KY16 9AJ, United Kingdom
Ashish Shetty, Pain Management Centre, University College London Hospitals NHS Foundation Trust, London W1T 4AJ, United Kingdom
Lucky Saraswat, Aberdeen Centre for Women’s Health, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom
Julie Taylor, School of Nursing, University of Birmingham, Birmingham B152TT, United Kingdom
Jian-Qing Shi, Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, Guangdong Province, China
Peter Phiri, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
ORCID number: Gayathri Delanerolle (0000-0002-9628-9245); Heitor Cavalini (0000-0003-2814-6477); Ashish Shetty (0000-0002-7441-6936); Julie Taylor (0000-0002-7259-0906); Sana Sajid (0000-0001-5737-7552); Shanaya Rathod (0000-0001-5126-3503); Jian-Qing Shi (0000-0002-2924-1137); Peter Phiri (0000-0001-9950-3254).
Author contributions: Delanerolle G conceptualised the PLATO project as part of the ELEMI program which includes three work-packages; Delanerolle G, Cavalini H, Shi JQ and Phiri P developed the systematic review protocol and embedded this within the PLATO project’s work package 1; Delanerolle G and Shi JQ designed the statistical analysis plan; Yang XJ, Delanerolle G, and Shi JQ completed the analysis; Sajid S and Phiri P completed the risk of bias and Newcastle-Ottawa Scale; All authors critically appraised and commented on previous versions of the manuscript; All authors read and approved the final manuscript.
Conflict-of-interest statement: Peter Phiri has received a research grant from Novo Nordisk and other, educational from the Queen Mary University of London, other from John Wiley & Sons, other from Otsuka, outside the submitted work. Shanaya Rathod reports other from Janssen, Lundbeck and Otsuka outside the submitted work. All other authors report no conflict of interest. The views expressed are those of the authors and not necessarily those of the NHS, the National Institute for Health and Social Care Research, the Department of Health and Social Care or the Academic institutions.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2020 Checklist, and the manuscript was prepared and revised according to the PRISMA 2020 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Peter Phiri, BSc, PhD, RN, Director, Senior Research Fellow, Senior Researcher, Department of Research & Innovation, Southern Health NHS Foundation Trust, Tom Rudd Unit Moorgreen Hospital Botley Road West End, Southampton SO30 3JB, United Kingdom. peter.phiri@southernhealth.nhs.uk
Received: February 17, 2023
Peer-review started: February 17, 2023
First decision: April 13, 2023
Revised: April 18, 2023
Accepted: May 6, 2023
Article in press: May 6, 2023
Published online: June 18, 2023
Processing time: 118 Days and 19 Hours

Abstract
BACKGROUND

Period poverty is a global health and social issue that needs to be addressed. It has been reported that many females compromise their education, employment, and social commitments during their menstruation days due to a number of reasons, including lack of access to toilets or menstrual products.

AIM

To provide a comprehensive understanding on period poverty, including outcomes associated with menstruation.

METHODS

All observational and randomised clinical trials reporting menstruation challenges, menstrual poverty and menstrual products were included. Our search strategy included multiple electronic databases of PubMed, Web of Science, ScienceDirect, ProQuest and EMBASE. Studies published in a peer review journal in English between the 30th of April 1980 and the 30th of April 2022 were included. The Newcastle-Ottawa Scale was used to assess the risk of bias of the systematic included studies. Pooled odds ratios (ORs) together with 95% confidence intervals (CIs) are reported overall and for sub-groups.

RESULTS

A total of 80 studies were systematically selected, where 38 were included in the meta-analysis. Of the 38 studies, 28 focused on children and young girls (i.e., 10-24 years old) and 10 included participants with a wider age range of 15-49 years. The prevalence of using disposable sanitary pads was 45% (95%CI: 0.35-0.58). The prevalence of menstrual education pre-menarche was 68% (95%CI: 0.56-0.82). The prevalence of good menstrual hygiene management (MHM) was 39% (95%CI: 0.25-0.61). Women in rural areas (OR = 0.30, 95%CI: 0.13-0.69) were 0.70 times less likely to have good MHM practices than those living in urban areas.

CONCLUSION

There was a lack of evidence, especially from low- and middle- income countries. Further research to better understand the scope and prevalence of period poverty should be considered. This will enable the development of improved policies to increase access to menstrual products and medical support where necessary.

Key Words: Period poverty, Menstruation, Mental health, Menstrual education, Menstrual hygiene

Core Tip: Period poverty is an important health issue, impacting social and psychological wellbeing. Issues are predominantly seen in low- and middle- income countries, affected by conflicts, disasters, and economic struggles. Evidence showed a link between menstruation and prevalence of stress, anxiety, and depression. Whilst menstruation is a physical health issue, there are clear associations with mental health. Despite the global scale of period poverty, it is under-researched and is not well understood. Further research in this area will help to form healthcare policies and support for women and girls.



INTRODUCTION

The World Health Organization (WHO) defines health as complete mental, physical, and social well-being, thus not a mere absence of a disease or infirmity[1]. For women, menstrual health is integral to maintain their overall health as menstruation occurs between menarche and menopause, which may have a significant impact on their mental, physical, and social wellbeing. Menstruation, or periods, is a biological process that is part of nearly every biological female’s life and is defined as cyclical bleeding that occurs as a result of the regeneration of the uterine endometrium corpus. Clinically, the normal menstrual process is of 4 phases across a cycle of 28-35 days[2,3]. The regularity of these cycles, duration of each of the bleeding episodes within a cycle, and the volume or heaviness of the bleed varies across women and can change throughout an individual’s lifespan[2,3]. All women do not experience normal menstrual bleeding, with approximately 30% experiencing alterations to their pattern or volume of menstrual flow due to multiple aetiologies[2,4]. Many women also report symptoms such as pain, anxiety, fatigue, dysmenorrhea, and depression associated with their menstrual cycle that may require clinical involvement to diagnose potential reproductive health issues such as premenstrual dysphoric disorder, premenstrual syndrome, or endometriosis[2-4]. To promote positive health and wellbeing outcomes to all genders and clinicians, it is important to understand menstrual cycles and menstrual health that can be promoted in the first instance by way of menstrual health literacy and various public interventions such as maintaining good hygiene practices and access to menstrual products.

Access to menstrual products is as vital as access to other hygiene products. The WHO and United Nations International Children’s Emergency Fund has reported that many girls miss school and put their lives on hold to remain at home during their menstruation days due to a number of reasons, including access to toilets or menstrual products[5,6]. This is commonly reported as period or menstruation poverty[7]. Period poverty is a global health issue impacting people who do not have access to hygienic and safe menstrual products. This is particularly important for regions with conflicts and disasters, which leave menstruating people with minimal or no access to safe menstrual products or clean toilets. This could lead to the use of unconventional methods to manage the bleeding such as the use of clothing, rags or sitting on old tin cans[8-10]. Ancient traditions such as Chhaupadi practices could further risk girls and women from securely managing their menstruation[11]. Chhaupadi is practiced in some far western rural regions in Nepal where young girls are banished into sheds or mud huts during menstruation or even longer as they believe this brings ill health or bad luck to the families[11]. Often these people have little or no access to washing facilities or supplies leading to health issues, including physical and psychological hardship[11,12]. Despite Chhaupadi being illegal in Nepal since 2005, Action Aid reports that it is practiced in some communities to date[12]. Whilst poverty and stigma impact the right for a girl child’s education, especially in low-middle-income countries, The United Nations Educational, Scientific and Cultural Organization reports that 1 in 10 girls in Africa alone misses school during their menstruation[13]. Missing school could lead to dropping out, risking child marriage and pregnancy at a younger age, as reported by Action Aid[14].

It has been reported for many decades that menstrual poverty is associated with stigma and shame and impacts the dignity and overall wellbeing. Despite being a developed country, over 37% of women in the United Kingdom (UK) have experienced period shaming by way of isolation, bullying and jokes, based on an Action Aid survey report[15]. Approximately 40% of women reported being humiliated by their partners, while over half of UK women said they were embarrassed when they got their periods for the first time. In addition, over 52% reported they hide sanitary products when taking these to the toilet to prevent anyone else from being embarrassed, whilst 43% reported they felt people would make inappropriate remarks. The New York Post reported similar findings from a study commissioned by THINX, which indicated 58% of women felt embarrassed during the menstruation period whilst 42% experienced period-shaming, where 1 in 5 of those women reported these feelings were due to comments made by male friends[16].

It is evident that period poverty appears to be a global phenomenon, and key sociological as well as clinical features may differ due to varying risk factors in diverse geographical regions. To identify the impact of period poverty in diverse populations and common denominators observed between low-middle-income countries (LMICs) and high-income countries, it is vital to better understand current gaps in knowledge, policies and practice. Prior to this study, a comprehensive evidence synthesis had not been conducted to demonstrate the impact of period poverty. To achieve this, we developed the PLatform for the Analysis, Translation, and Organization of large-scale data project (PLATO) with the first component focusing on an evidence synthesis of the existing peer reviewed literature.

MATERIALS AND METHODS

A systematic methodology was developed and published as a protocol in PROSPERO (CRD42022339536) to explore period poverty. A meta-analysis was conducted in addition to two key thematic variables identified through the systematic review of homelessness, infections, lived experiences and mental health impact due to menstruation.

Within the context of this study, rural and urban areas of the study were defined by natural administrative division of the location as reported within the peer review publications. The division of LMIC, middle-low-income countries (MICs) and high-income countries were defined based on the dividing standards of the World Banking Group.

The primary aim of this study was to provide a comprehensive understanding on period poverty, including outcomes associated menstruation such as affordability of menstrual products, disposable sanitary pads, accessibility to menstruation education tools, adequate menstrual hygiene management (MHM) practice and urinary tract infections. The difference in MHM practices in a variety of contexts such as age groups, religious beliefs, parents’ educational status, and school absenteeism due to dysmenorrhea were also explored.

Inclusion/exclusion

All observational and randomised clinical trials reporting menstruation challenges, menstrual poverty and menstrual products were included. Studies published in a peer review journal in English between the 30th of April 1980 and the 30th of April 2022 were included. All editorials, letters to editors and commentaries, and papers published in languages other than English were excluded.

Patient and public involvement

All the data used in this systematic review is publicly available. No further patient or public involvement was implemented for this paper.

Search strategy

Our search strategy included multiple electronic databases of PubMed, Web of Science, ScienceDirect, ProQuest and EMBASE. Subject index terms used were: Menstrual education, anthropology, period poverty, pads, sanitary pads, sanitary facilities, menstrual hygiene, urinary tract infections, menstrual health, and women's periods. The title and abstract of each publication were screened independently by two investigators. A consensus was reached for studies that were unsuitable for inclusion. Articles that were included were reviewed in in full independently by two investigators. These were re-reviewed independently prior to the data extraction. Difference of opinions and queries were resolved by the by the Principal Investigator and Chief Investigator.

Data extraction

We developed an extraction template specific to the objectives of the study although the aim was to gather a wider dataset to ensure vital data was not missed to answer the research aims comprehensively. Participants included in the study populations were those who live and/or are at risk of menstrual poverty. All studies reporting a menstrual product and/or an educational intervention associated with menstruation were extracted by way of the instruments, measures of tool and questionnaires. The final dataset was independently reviewed before the analysis commenced.

Participants included in the study populations were those who have experienced or are at risk of menstrual poverty. All studies reporting a menstrual product and/or an educational intervention associated with menstruation were extracted by way of the instruments, measures of tool and questionnaires. The final dataset was independently reviewed before the analysis commenced.

Risk of bias

The Newcastle-Ottawa Scale was used to assess the risk of bias (RoB) of the systematic included studies. A risk of bias table has been made available as a Supplementary material. The RoB table reflects a fixed set of biases linked to the study design, conduct and reporting (Table 1).

Table 1 Quality assessment of studies using a modified Newcastle-Ottowa scale.
Ref.Selection
Comparability (**)Outcome
Total (10*)
Representativeness of the sample (*)
Sample size (*)
Non-respondents (*)
Ascertainment of exposure (**)
Assessment of outcome (**)
Statistical test (*)
1Garg et al[9], 2001*--*****6*
2Hennegan et al[44], 2016*--*****6*
3Sychareun et al[45], 2020**-*****7*
4Ha et al[46], 2020**-*****7*
5Fialkov et al[47], 2021*--*****6*
6Torondel et al[48], 2022**-*****7*
7Al-Jefout et al[49], 2015---*****5*
8Birhane et al[50], 2019**-*****7*
9Alemayehu et al[51], 2020**-*****7*
10Kitesa et al[52], 2016**-*****7*
11Serbesa et al[53], 2018********8*
12Shah et al[54], 2019********8*
13Austrian et al[55], 2021*********9*
14Ocaktan et al[56], 2010**-*****7*
15Dhingra et al[57], 2009**-******7*
16Boosey et al[58], 2014*--*****6*
17Amatya et al[59], 2018**-*****7*
18Caruso et al[60], 2020********8*
19Sveinsdóttir et al[61], 2018*--******7*
20Sveinsdóttir et al[62], 2017**-******8*
21Mukherjee et al[63], 2020**-*****7*
22Hennegan et al[64], 2018*--*****6*
23Gharacheh et al[65], 2021**-*****7*
24Lee et al[66], 2017*--*****6*
25Hennegan et al[67], 2021**-*****7*
26Mao et al[68], 2021**-*****7*
27Roy et al[69], 2021**-*****7*
28Komada et al[70], 2019---******6*
29Crankshaw et al[71], 2020**-*****7*
30Afiaz et al[72], 2021**-******8*
31Smith et al[73], 2020*--*****6*
32Toffol et al[74], 2014**********10*
33McMaster et al[75], 1997*--****5*
34Janoowalla et al[26], 2020*--******7*
35Ademas et al[76], 2020**-*****7*
36Bromberger et al[77], 2012*********9*
37Strine et al[78], 2005**-*****7*
38Mansoor et al[79], 2020**-*****7*
39Cardoso et al[80], 2019*--*****6*
40Choi et al[81], 2021**-*****7*
41Shimamoto et al[82], 2021---*****5*
42Nohara et al[83], 2011**-*****7*
43Ahamed et al[84], 2015**--****6*
44Mokhtari et al[85], 2020**-*****7*
45Warner et al[86], 2001*-*******8*
46Nishikitani et al[87], 2017**-*****7*
47Tanaka et al[88], 2013**-*****7*
48Zhou et al[89], 2010*--******7*
49Chang et al[90], 2009*--*****6*
50Yirsaw et al[91], 2021**-*****7*
51Gokyildiz et al[92], 2013*--*****6*
52Jiang et al[93], 2019**-*****7*
53Parent et al[94], 2022*--*****6*
54Schoep et al[95], 2019*--*****6*
55Fernández-Martínez et al[96], 2020**-******8*
56Abedian et al[97], 2011-*-******7*
57Beksinska et al[98], 2015**-*****7*
58Blake et al[99], 2018**-*****7*
59Djalalinia et al[100], 2012**-*****7*
60El-Mowafy et al[101], 2014**-*****7*
61Fakhri et al[102], 2012*--*****6*
62Montgomery et al[103], 2012*--*****6*
63Montgomery et al[44], 2016********8*
64Hennegan et al[104], 2016*--*****6*
65Deshpande et al[105], 2018**-*****7*
66Cardoso et al[25], 2021*--*****6*
67Nyothach et al[106], 2015*--******7*
68Kuhlmann et al[107], 2020---*****5*
69Miiro et al[48], 2018*--******7*
70Hensen et al[108], 2022**-******8*
71Kuhlmann et al[109], 2019*--******7*
72Shibeshi et al[110], 2021**-******8*
73Kumbeni et al[111], 2020**-******8*
74Adinma et al[112], 2014**-****6*
75Eswi et al[113], 2012*--*****6*
76El-Hameed et al[114], 2011*--*****6*
77Abed et al[115], 2015---*****5*
78Mohamed[116], 2012*--*****6*
79El-Mawgod et al[117], 2016**-*****7*
80Zegeye et al[118], 2009**-*****7*
Meta-analyses

Out of the 1432 studies screened, 1182 were excluded. Of the 250 studies assessed for eligibility, 170 were excluded. Hence, 80 studies were systematically included, and 38 were included in the meta-analysis (Figure 1). The 38 studies were explored to obtain several indicators of period poverty, such as access to menstrual education tools, use of menstrual pads and MHM practice, as well as their related issues such as urinary tract infections, religious status, educational level of parents, geographical location including urban and rural areas, and the presence of a financial allowance.

Figure 1
Figure 1 PRISMA 2020 flow diagram showing study selection.

To calculate the summary effect size across studies, meta-analysis of single proportions was applied to (a)-(c), and meta-analysis for comparison of two interventions was applied to (d)-(k)[17,18]. Since almost all outcomes of interest in the current analysis were dichotomous, meta-analysis with binary data was performed, and accordingly the pooled odds ratio (OR) with a 95% confidence interval (CI) was used to access the effect of two interventions[19,20]. Statistical heterogeneity was evaluated by the commonly used measure I2 with P value, and further I2 larger than 50% with a much small P value indicates strong heterogeneity. In comparison, I2 less than 50% with a large P value indicates fairly weak heterogeneity[20]. In the presence of high heterogeneity, the random effects model was employed; instead, the fixed effects model was used if there was weak or no heterogeneity[21]. In some cases, subgroup analysis was carried out to identify the sources of heterogeneity, and sensitivity analysis was conducted for mainly assessing robustness of the synthesized results. Finally, publication bias was addressed seriously in the discussion part. All statistical outputs were reported using R[22,23].

A systematic analysis was used for studies that were excluded from the meta-analysis including those reporting lived experiences and the mental health impact associated with menstruation.

RESULTS

Studies with limited discussion about menstrual products, menstruation knowledge and MHM practice were excluded, resulting in a final dataset of 80 studies (Table 2). Of the 80 studies, 38 studies were selected for meta-analysis. Of 38 the studies, 34 were from LMICs and 4 from developed countries (non-LMICs).

Table 2 Characteristics of the studies included in the systematic review.
Study ID
Ref.
Year
Study type
Sample size
Country
Mean age
Meta-analysis inclusion Y/N
1Garg et al[9]2001Epidemiological and sociological study380India Y
2Hennegan et al[44]2016Cross-sectional study201Uganda14.2Y
3Sychareun et al[45]2020Cross-sectional study343LAO15.6Y
4Ha et al[46]2020Cross-sectional study design with systematic random sampling589Bangladesh15.5Y
5Fialkov et al[47]2021Pre- and post-test design that compared six cohort groups311KenyaN
6Torondel et al[48]2022Nested within a pair-matched cohort study1045India27Y
7Al-Jefout et al[49]2015Cross-sectional study272Jordanian22Y
8Birhane et al[50]2019Cross-sectional study466Ethiopia15.5Y
9Alemayehu et al[51]2020Cross-sectional study301Ethiopia15.87Y
10Kitesa et al[52]2016Cross-sectional study430Ethiopia16Y
11Serbesa et al[53]2018Cross-sectional study310Ethiopia15.72Y
12Shah et al[54]2019Cross-sectional study331Gambia15.3Y
13Austrian et al[55]2021Cluster RCT3489Kenya14.8N
14Ocaktan et al[56]2010Cross-sectional study400Turkey32.19Y
15Dhingra et al[57]2009Cross-sectional study200India13.97Y
16Boosey et al[58]2014Cross-sectional study140Uganda14.45N
17Amatya et al[59]2018Cross-sectional mixed-methods study104Nepal15N
18Caruso et al[60]2020Cross-sectional study878India26.8Y
19Sveinsdóttir et al[61]2018Cross-sectional study319Iceland30Y
20Sveinsdóttir et al[62]2017Cross-sectional study319Iceland30N
21Mukherjee et al[63]2020Cross-sectional study1342NepalN
22Hennegan et al[64]2018Cross-sectional study2934Nigeria26.66Y
23Gharacheh et al[65]2021Cross-sectional study515Iran29.61N
24Lee et al[66]2017Prospective observational cohort study1495USA46.8N
25Hennegan et al[67]2021Secondary data analysis11806Burkina Faso, Niger, NigeriaN
26Mao et al[68]2021Cross-sectional study156055China26.32N
27Roy et al[69]2021Secondary data analysis94034IndiaY
28Komada et al[70]2019Cross-sectional study150Japan18.8N
29Crankshaw et al[71]2020Mixed-method study472South Africa17.5Y
30Afiaz et al[72]2021Cross-sectional study54242Bangladesh 29Y
31Smith et al[73]2020Secondary data analysis38257Uganda, Kenya, Ethiopia etc.Y
32Toffol et al[74]2014Cross-sectional study4391Finland56.2N
33McMaster et al[75]1997exploratory phase of the study 50ZimbabweN
34Janoowalla et al[26]2020Prospective cohort study 240Rwanda19.1Y
35Ademas et al[76]2020Cross-sectional study602EthiopiaY
36Bromberger et al[77]2012Multisite study934USAN
37Strine et al[78]2005Cross-sectional study11648USAN
38Mansoor et al[79]2020Cross-sectional study1777Pakistan20.38Y
39Cardoso et al[80]2019Baseline data from a larger RCT1800Nepal34.5N
40Choi et al[81]2021Cross-sectional study8658Korea35.1Y
41Shimamoto et al[82]2021Self-reporting questionnaire survey 6048JapanN
42Nohara et al[83]2011Cross-sectional study2166JapanN
43Ahamed et al[84]2015Cross-sectional study344India28Y
44Mokhtari et al[85]2020Cross-sectional study164Iran27.78N
45Warner et al[86]2001Cross-sectional study 952ScotlandN
46Nishikitani et al[87]2017Cross-sectional study505Japan N
47Tanaka et al[88]2013Online survey19254Japan33.6N
48Zhou et al[89]2010Cross-sectional study1642China37N
49Chang et al[90]2009Cross-sectional survey1095TaiwanN
50Yirsaw et al[91]2021Cross-sectional study 713Ethiopia21.13N
51Gokyildiz et al[92]2013Case-control study295TurkeyN
52Jiang et al[93]2019Cross-sectional study12881ChinaN
53Parent et al[94]2022Cross-sectional study1153France31.7Y
54Schoep et al[95]2019Cross-sectional study42879Netherlands28.7N
55Fernández-Martínez et al[96]2020Cross-sectional study7208Spain19.51N
56Abedian et al[97]2011RCT165IranN
57Beksinska et al[98]2015Randomized two-period Cross-over trial124South Africa29N
58Blake et al[99]2018Mixed-methods evaluation636Ethiopia13.45Y
59Djalalinia et al[100]2012Community-based participatory research1823IranN
60El-Mowafy et al[101]2014Quasi-experimental study234EgyptN
61Fakhri et al[102]2012Quasi-experimental study698Iran15.7N
62Montgomery et al[103]2012Non-randomized trial120Ghana15.7N
63Montgomery et al[44]2016Cluster quasi-randomised controlled trial1124UgandaN
64Hennegan et al[104]2016Secondary data analysis205Uganda14.2Y
65Deshpande et al[105]2018Cross-sectional study100IndiaY
66Cardoso et al[25]2021Online survey471United States20.6N
67Nyothach et al[106]2015Retrospective studyKenyaN
68Kuhlmann et al[107]2020Cross-sectional study58USA15.21N
69Miiro et al[48]2018Cross-sectional study352Uganda15.6Y
70Hensen et al[108]2022Mixed-methods analysis7546ZambiaN
71Kuhlmann et al[109]2019Cross-sectional study183USA35.8Y
72Shibeshi et al[110]2021Cross-sectional study1078Ethiopia17.35Y
73Kumbeni et al[111]2020Cross-sectional study705GhanaY
74Adinma et al[112]2014Cross-sectional study550NigeriaY
75Eswi et al[113]2012Cross-sectional study200Egypt15.45N
76El-Hameed et al[114]2011Cross-sectional study160Egypt17.2N
77Abed et al[115]2015Cross-sectional study100Egypt14.25Y
78Mohamed[116]2012Cross-sectional study885Egypt16Y
79El-Mawgod et al[117]2016Cross-sectional study344Saudi Arabia16.2Y
80Zegeye et al[118]2009Cross-sectional study612Ethiopia16.9Y
Meta-analysis

Prevalence of using disposable sanitary pads: We explored the link of disposable sanitary pads as an indicator of period poverty. A meta-analysis of single proportions was applied to 32 studies with a sample of 212459 women, that indicated a prevalence of 45% (95%CI: 0.35-0.58). Figure 2A shows the forest plot for 32 studies. The value of 100% of I2 (P value = 0) indicates a significant statistical heterogeneity.

Figure 2
Figure 2 Forest plots showing the prevalence of using disposable sanitary pads. A: Forest plot shows the prevalence of using disposable sanitary pads across 32 studies; B: Forest plot shows the prevalence of using disposable sanitary pads in low-middle-income countries (LMICs) and non-LMICs, respectively.

To explore the sources of heterogeneity, a subgroup analysis was conducted using the geographical locations of the studies and demonstrated in a forest plot (Figure 2B). A statistically significant difference (P value < 0.01) was identified between LMICs and non-LMICs using sanitary pads where the pooled prevalence was 43% (95%CI: 0.33-0.56) and 76% (95%CI: 0.60-0.96), respectively. Figure 2B also showed that heterogeneity remained unchanged in LMICs (I2 = 100%, P value = 0) and non-LMICs (I2 = 98%, P value < 0.01), indicating that the identified heterogeneity was not geographical location influenced.

Prevalence of having knowledge/awareness on menstruation before menarche

Several surveys were meta-analysed to better understand adolescent girls' menstrual education and pre-menarche awareness. Common survey questions notably included, “were you familiar with menstruation before you got your first period (Study 3)”, “Information availability before reaching menarche (Study 4)”, “heard about menstruation before menarche (Study 9)”, and “prior knowledge about menstruation before menarche (Study 11) and “awareness about menarche before its onset (Study 79)”. This information was used to conduct a meta-analysis of 11 studies with a sample size of 4944 young women. A high heterogeneity was detected with I2 = 98% and P value < 0.01) (Figure 3A). The random effects model reported the overall prevalence to be 68% (95%CI: 0.56-0.82).

Figure 3
Figure 3 Forest plots exploring menstrual education and hygiene management practices. A: Forest plot for the prevalence of having knowledge/awareness on menstruation before menarche across 11 studies; B: Forest plot for the prevalence of good menstrual hygiene management (MHM) practice across ten studies; C: Forest plot for the rural-urban difference of MHM practice level (good/bad).
Prevalence of good MHM practice

Good MHM practice during menstruation is essential to prevent various other health issues such as urinary tract infections (UTIs)[24]. MHM practice lacks a standardised definition although a consensus is that it is expected that throughout the bleeding phase, people require clean absorbents, adequate frequency of absorbent change, washing the body with soap and water, adequate disposal, and privacy for managing menstruation. All involved studies predesigned some practice-related questions in research studies to determine the level of MHM practice, defined simply as good or bad. Figure 3B demonstrates a forest plot of the prevalence of good MHM practice across ten studies with a total of 5432 women. The random effects model was used due to strong heterogeneity indicated by I2 = 99% and P value < 0.01. The overall prevalence of good MHM practice was 39% (95%CI: 0.25-0.61).

Rural-urban difference in MHM practice level (good/bad)

A total of 5 studies with a sample size of 2705 women reported differences of MHM practice levels within rural and urban settings. The pooled OR of good MHM practice between rural and urban areas was 0.30 (95%CI: 0.13-0.69), indicating that women living in rural area were 0.70 times less likely to have good MHM practices in comparison to those living in an urban area. A high heterogeneity of 91% of I2 (P value < 0.01) was identified (Figure 3C), possibly due to the differences in covariates, assessment tools and other factors.

Difference of MHM practice level (good/bad) between two age groups

Based on available data from 3 studies with a total of 1637 adolescent girls, special attention is paid to two groups aged at less than or equal to 15 years and 16 to 19 years. The random effects model yielded a I2 of 82% with a pooled OR of good MHM practices between two age groups of 0.77 (95%CI: 0.44-1.34), which is not statistically significant (Figure 4A).

Figure 4
Figure 4 Forest plot for the difference of menstrual hygiene management. A: Forest plot for the difference of menstrual hygiene management (MHM) practice level (good/bad) between two age groups; B: Forest plot for difference of MHM practice level (good/bad) among adolescent girls with uneducated and educated father; C: Forest plot for difference of MHM practice level (good/bad) among adolescent girls with uneducated and educated mother. Available in Supplemental material.
Difference of MHM practice level (good/bad) among adolescent girls with uneducated and educated father/mother

Parents’ educational background showed an impact on MHM practices among adolescent girls. In some studies father’s or mother’s educational status was divided into illiterate and literate, while in other studies categorised as uneducated, primary education, secondary or high school education, and college or above. To simplify the data, father’s or mother’s educational status was defined as uneducated, where either parent lacked primary education whilst, educated was anyone that had any above secondary. Figure 4B showed a forest plot for difference of MHM practice level (good/bad) among adolescent girls with uneducated and educated fathers, and the pooled OR was 0.55 (95%CI: 0.36-0.83). This provides significant evidence of the lower prevalence of good MHM practice among adolescent girls with uneducated fathers. Similarly, Figure 4C demonstrated that adolescent girls with uneducated mothers were 0.48 times less likely to have good MHM practices than those with educated mothers.

Difference of MHM practice level (good/bad) among adolescent girls without and with pocket money

To some extent, the possibility of getting a financial allowance, also referred to as a pocket money indicated the socioeconomic status of the family which would indicate their affordability to disposable sanitary pads. Thus, two studies that reported on the use of disposable sanitary pads with a total of 731 adolescent girls were analysed. The forest plot (Figure 5A) demonstrates the difference of MHM practice levels among adolescent girls with and without pocket money. The I2 = 0 (P value = 0.41) means that there was very weak statistical heterogeneity. The pooled OR was 0.45 (95%CI: 0.32-0.64), indicating that adolescent girls who have no pocket money were 0.55 times less likely to have good MHM practices than those who have pocket money.

Figure 5
Figure 5 Forest plots showing the differences in menstrual hygiene management across various factors. A: Forest plot for difference of menstrual hygiene management (MHM) practice level (good/bad) among adolescent girls without and with pocket money; B: Forest plot for difference of MHM practice level (good/bad) among adolescent girls of having no and having discussion about menstruation with parents. Available in Supplementary material; C: Forest plot for the difference of MHM practice level (good/bad) among adolescent girls with orthodox and protestant; D: Forest plot for difference of MHM practice level (good/bad) among adolescent girls with protestant and Muslim. Available in Supplementary material; E: Forest plot for difference of MHM practice level (good/bad) among adolescent girls with orthodox and Muslim. Available in Supplemental material.
Difference of MHM practice level (good/bad) among adolescent girls of having no and having discussion about menstruation with parents

Discussion points between a parent and a young girl were explored where the paradigm indicated open discussions around menstruation issues. Responses to these questions reflects the parent-child relationship. The forest plot indicates (Figure 5B) a difference between MHM practices among adolescent girls who did not have a discussion with their parents vs those who had a discussion was 0.46 (95%CI: 0.28-0.75).

Difference of MHM practice level (good/bad) among female followers of different religions

Literature indicated the presence of a correlation between religious views and MHM practices, as demonstrated within 3 studies conducted in Ethiopia, with a combined sample size of 1128 adolescent girls. Thus, a pairwise meta-analysis was employed to compare the MHM practice levels among women of Orthodox, Protestant and Islamic beliefs. Figures 5C-E demonstrated forest plots comparing Orthodox vs Protestant, Protestant vs Islam, and Orthodox vs Islam, respectively. The corresponding pooled ORs were 1.81 (95%CI: 0.47-6.99), 0.66 (95%CI: 0.23-1.92), and 0.66 (95%CI: 0.87-1.72). Based on the CIs, there is no statistically significant difference in MHM practice levels among women from Orthodox, Protestant and Islamic beliefs.

School absenteeism due to dysmenorrhea

Dysmenorrhea is another key feature of menstruation indicating an important reason for school absenteeism among adolescent girls. Two studies reported mild and moderate menstrual pain among their participants. We combined mild to moderate pain and defined as not severe menstrual pain for the analyses. This was combined with four studies. The total sample size was 1582 (Supplementary Figure 1). The pooled OR of school absenteeism between adolescent girls with severe and not severe menstrual pain was 4.26 (95%CI: 2.27-7.99), indicating those with severe menstrual pain were 4.26 times more likely to miss school than those without menstrual pain.

Participants in study 7 were aged between 19 to 25 years of age, whilst others were less than 19 years old. There appears to be high heterogeneity (I2 =83%, P value < 0.01) in the sample. Thus, it was excluded, and the heterogeneity was re-evaluated where the pooled OR is 2.98 (95%CI: 2.29-3.87). Supplementary Figure 2 indicates I2 to be 0 with a P value of < 0.01. The heterogeneity, therefore, was specific to Study 7. The participant group of 19 to 25 years old, or, more precisely, age group may be one of the main sources of heterogeneity.

To explore the association between school absenteeism and whether or not using disposable sanitary pads have any impact, a meta-analysis was applied to 3 studies with a total sample size of 1280 adolescent girls. Supplementary Figure 3 indicated significant evidence of statistical heterogeneity (I2 =83%, P value < 0.01). The pooled OR of 2.08 (95%CI: 1.10-3.91) indicates that adolescent schoolgirls who did not use disposable sanitary pads were 1.08 times more likely to be absent from school than those using sanitary pads.

Association between dysmenorrhea and regularity of menstrual cycle

As presented in the former part, there is a statistically significant association between the severity of dysmenorrhea and school absenteeism. To further identify the possible causes of dysmenorrhea, two studies were meta-analysed with a total sample size of 1285 with confirmed experience of regular or irregular menstrual cycles. Supplementary Figure 4 indicated a lack of statistical heterogeneity (I2 = 0, P value = 0.89) and thus the fixed effects model was used. The pooled OR was 2.31 (95%CI: 1.76-3.02), indicating the prevalence of dysmenorrhea among adolescent girls with irregular menstrual cycles is 2.31 times as high as those with a regular cycle.

Another key area of period poverty is the associated mental health impact, which can differ between those who suffer from mental illness and those who do not. Whilst there was insufficient data for a meta-analysis, there was evidence to suggest a link between menstruation and prevalence of stress, anxiety, and depression[3]. In addition, socioeconomic status can impact the prevalence of stress, anxiety and depression experienced by different populations.

DISCUSSION

Period poverty is a global health issue, more prominent in low-middle-income countries. There are varying risk factors dependent on geographical location and this reflects in the differing sociological and clinical features, as explored in this paper.

This study demonstrates correlations between severity of dysmenorrhea and school absenteeism among girls between 14-19 years of age with and without regular menstruation. Another key area of period poverty is the associated mental health impact, which can differ between those who suffer from mental illness and those who do not. Whilst there was insufficient data for a meta-analysis, there was evidence to suggest a link between menstruation and prevalence of stress, anxiety, and depression[3]. In addition, socioeconomic status can impact the prevalence of stress, anxiety and depression experienced by different populations. This could be exacerbated among those acquiring UTIs[24,25].

UTIs have been reported by Das and colleagues to be a common problem among those without pad use. Janoowalla and colleagues demonstrated no change in the prevalence of urinary tract infections between those using and not-using pads in the Kibogora region in Rwanda[26]. Das and colleagues indicated a higher risk of urogenital infections among women using reusable absorbent pads within the Odisha region in India[24]. Bacterial vaginosis (BV) is another issue impacting women with poorer menstrual practices. Das and colleagues reported that menstrual hygiene practices were associated with a symptomatic BV or UTI[24].

MHM practices were another key endpoint in this study which demonstrated to differ among women of Islamic, Protestant and Orthodox religious beliefs in Ethiopia. Representativeness of these findings to other ethnicities requires further research.

Homelessness is another facet that is vital to explore to identify the impact of period poverty. For example, in the United States, 553000 experience homelessness in a night compared to 32000 in the UK[27,28]. It is reported that 25% of homeless service users in the UK are single women and 28% in the United States. These could be underestimated as hidden homeless is another facet where people do not access services but stay in temporary accommodation settings, including friends and relatives. Many official reports lack information regarding experiences of menstruation among the homeless. Padgett and colleagues demonstrate that this multifaceted concern or as a feature of reproductive health is now being explored, although comprehensive evidence is required[29]. Phenomenology demonstrates homeless menstrual lived experiences, which is an important aspect of understanding period poverty by exploring the interrelatedness between the consciousness, body, and the flesh of a woman[30]. Homeless people are a marginalised community; thus, menstruation could emphasize their vulnerability. Historically, social sciences research has focused on commodification, medicalisation and stigma associated with menstruation. Anglo-American publications have also failed to discuss intersectionality and focus primarily on white, middle-class, cisgender women or in a developmental context where women are in poverty[31-34]. The sociopsychological and socioeconomic aspects associated with women living in poverty vs those not can sometimes be polarised from a period poverty perspective. Health outcomes among disenfranchised groups of women due to lack of or minimal access to menstrual products can have significant effects where clinical interventions would be required to manage the symptoms, including systemic issues. Another facet is that the supply of menstrual products to homeless services such as shelters, and day centers should be more effective. This should include the availability of staff that could be approached to talk about menstruation or any associated problems[35].

Another facet of period poverty is the composition of menstrual pads which is not the same in terms of their textile and polymer composition. Varying viscosity of menstrual flow could also impact the suitability of the differing pads, given that these are worn for different periods. Another aspect to consider as an external factor for menstrual products would be to produce material that can be disposed of in a biodegradable manner. Velasco Perez et al[36] and Hait et al[37] indicated that sanitary pads have a higher negative environmental footprint due to eutrophication and climate change. Limited evidence is available about menstrual underwear and menstrual cups associated with environmental impact. This further complicates menstrual hygiene issues, equitable availability, and acceptability, especially among LMIC populations.

Whilst this study has indicated the majority of the evidence on period poverty is within LMIC and MICs, there appears to be a lack of studies available within developed countries despite the definition of “period poverty”, including the inability to afford menstrual products. Given the risk of living costs, many media publications and social media posts indicate that period poverty is a concern within developed countries. For example, Cardoso and colleagues indicated that women in the United States reported 14.2% experienced period poverty in 2020, with an additional 10% experiencing it monthly[25]. Whilst knowledge, attitude and practices associated with menstruation among poorer and vulnerable communities are likely to be lower regardless of the geographical location. As a result, the psychosocial dynamics may have a negative impact. The findings of these studies may have been exacerbated due to the coronavirus disease 2019 pandemic with substantial increases in unemployment and cost of living. Basic goods and service cost increase includes those of menstrual products. Thus, the pandemic has had gendered implications impacting the vulnerability of women. Caretaker roles of women have significantly grown as a result of lockdowns, and such requirements have been inadequately explored[38].

In addition, limited evidence is demonstrated around mental health implications due to the period of poverty. Cardoso and colleagues demonstrated an association between period poverty and depression among women within the United States who were previously depression naïve[25]. This is similar to the findings reported between food insecurity associated with depression in adults and anxiety, depression and suicidal ideation among adolescents[25,39-41]. Similarly, depression and anxiety were reported among people experiencing housing insecurities compared to those with stable houses[42,43].

The data identified is limited to either smaller sample sizes and/or geographical locations that could limit the generalisability of the findings to introduce impactful and meaningful changes to policy and clinical practice

CONCLUSION

Period poverty is an international issue, varying based on geographical locations, social implications, and economical factors. Better understandings of this problem will highlight current gaps in knowledge, policies, and practice. Undoubtedly, many issues affect the experiences of managing menstruation and access to menstrual products. To address the current gaps and ensure period poverty can be minimised, comprehensive research would be required. Policymakers and independent authorities should consider improved healthcare legislation, equitable access to menstrual products, information, and healthcare providers.

ARTICLE HIGHLIGHTS
Research background

Period poverty is an international health concern, impacting thousands of women and girls, especially those in underdeveloped regions or those struck with conflict and disaster. Due to issues with menstrual education and access to menstrual hygiene products, many females compromise their daily routines (e.g., not attending school or going to work). There is a lack of a comprehensive evidence synthesis in relation to period poverty hence the PLatform for the Analysis, Translation, and Organization of large-scale data project (PLATO) was developed with this systematic review and meta-analysis as the first stage.

Research motivation

Period poverty influences various health and social factors to varying degrees, dependent on the geographic location and other risk factors – this effect is amplified in low- and middle- income countries. To better understand the impact of period poverty, research exploring and highlighting current gaps in knowledge in key. Following this, improved legislation and policies for women and girls will enable better access to menstrual hygiene products and accurate menstrual education.

Research objectives

Due to the sheer lack in period poverty research, especially in low- and middle- income countries, this systematic review and meta-analysis aimed to explore current understandings and highlight any areas for future research. The primary outcomes included factors associated to menstrual hygiene products, such as accessibility and affordability, but also menstrual hygiene management and education. Variations in relation to age, location, religion, and parental and individual education was also explored.

Research methods

A systematic review and meta-analysis were conducted to explore period poverty with all related observational and randomised clinical trials included in this report. Studies published in English, between the 30th of April 1980 and the 30th of April 2022 were included. An extraction template was specifically developed in line with the objectives of the study to ensure that research aims were addressed comprehensively.

Research results

Overall, 80 studies were included in the systematic review and 38 in the meta-analysis and various statistically significant findings were uncovered. Sanitary pads were used a lot more in non-Low- and Middle-income countries, with women in rural areas being 0.7 times less likely to have good menstrual hygiene and management practices. School girls who reported irregular menstrual cycles experienced severe menstrual pain and those with severe pain were almost 5 times more like to miss out on school.

Research conclusions

This study demonstrates correlations between severity of dysmenorrhea and school absenteeism among girls with and without regular menstruation. It also explored how period poverty is the associated mental health impact, with evidence to suggest a link between menstruation and prevalence of stress, anxiety, and depression. This study has indicated that the majority of the evidence on period poverty is within low-middle-income countries and middle-low-income countries. It is possible that the findings of this study could have been exacerbated due to the coronavirus disease 2019 pandemic.

Research perspectives

Period poverty is an under-researched area despite is being a global social and health issue. This research has outlined current understandings of period poverty but also where the gaps lie. Following on from this, policies and practices can be introduced and developed to ensure women and girls are supported across the globe in relation to menstrual products, information, and healthcare providers.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Obstetrics and gynecology

Country/Territory of origin: United Kingdom

Peer-review report’s scientific quality classification

Grade A (Excellent): 0

Grade B (Very good): B, B

Grade C (Good): 0

Grade D (Fair): 0

Grade E (Poor): 0

P-Reviewer: Liu XQ, China; Tavan H, Iran S-Editor: Liu JH L-Editor: A P-Editor: Yu HG

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