Original Article


Estimating the Impact of Associated Factors on Women's Absenteeism from School or Work due to Inadequate Menstrual Hygiene Management

Authors: Sameera Ali Rizvi , Muhammad Kazim Jafri , SyedaTabeena Ali , Nida Shoaib
DOI: https://doi.org/10.37184/lnjpc.2707-3521.7.69
Year: 2025
Volume: 7
Received: Nov 01, 2024
Revised: May 16, 2025
Accepted: Jun 12, 2025
Corresponding Auhtor: SyedaTabeena Ali (syeda.tabeena@szabist.edu.pk)
All articles are published under the Creative Commons Attribution License



INTRODUCTION

Menstrual hygiene management (MHM) is a critical public health issue that significantly affects women’s health, education, and overall well-being. Globally, inadequate MHM has been linked to increased absenteeism from school and work, impacting women’s participation in social and economic activities [1, 2]. Menstrual   Hygiene   Management   (MHM)   refers   to access to clean menstrual products, facilities to change them in privacy, and adequate water and sanitation for managing menstruation with dignity and safety [3].

The World Health Organization emphasizes that proper menstrual hygiene is essential for the health and dignity of women and girls. However, many women, especially in low- and middle-income countries, face numerous barriers to adequate Menstrual hygiene management, including limited access to sanitary products, inadequate sanitation facilities, and sociocultural stigma [4, 5].

In Pakistan, the situation is particularly concerning. Studies indicate that a significant number of women lack access to basic sanitation and menstrual hygiene products, leading to increased school absenteeism among adolescent girls [5]. Research has shown that girls  in  rural  areas  are  disproportionately  affected, with higher rates of absenteeism compared to their urban counterparts [6]. Furthermore, cultural taboos surrounding menstruation often exacerbate the challenges faced by women, further limiting their ability to manage menstruation with dignity [6].

National-level, quantitative studies on the determinants of absenteeism related to MHM remain scarce in Pakistan. This study addresses this gap by analyzing data from the MICS 2018-19 survey to explore factors associated with menstruation-related absenteeism.

Given the profound implications of menstrual hygiene management  on women’s health  and  socioeconomic

improving menstrual hygiene practices and promoting

gender equity in educational and professional settings.

METHODS

This study is a secondary data analysis based on the Sindh Multiple Indicator Cluster Survey (MICS) 2018-19, conducted by the Government of Sindh in collaboration with   UNICEF.   The   MICS   is   a   cross-sectional, population-based household survey designed to provide internationally comparable and statistically robust indicators related to the health, education, and well- being of women and children. In Pakistan, MICS surveys are conducted at the provincial level. The Sindh MICS

2018-19 encompassed all 29 districts of the province and was published in February 2021. The sampling frame, developed by the Pakistan Bureau of Statistics (PBS), resulted in a sample of 20,540 households. The MICS dataset, along with the relevant survey instruments and reports, is publicly available on the official websites of UNICEF and the Government of Sindh [7].

For this study, we included women of reproductive age (15-49 years) with complete responses on menstrual hygiene management (MHM) indicators. The final sample comprised 26,481 women who provided information on MHM practices and absenteeism due to menstruation. Respondents were included if they answered relevant questions regarding MHM and absenteeism from school, work, or social activities.

Independent variables were selected based on theoretical relevance and previous literature identifying key social, economic, and environmental determinants of  menstrual  hygiene  and  absenteeism.  Participants with incomplete or missing data on key variables were excluded from the analysis. Missing data were handled using listwise deletion to maintain consistency across variables.

The   primary   outcome   variable   was   absenteeism, defined  as  self-reported  absence  from  school,  work, or social activities due to poor menstrual hygiene practices. Independent variables included demographic characteristics (age, area of residence, marital status, and education level), socioeconomic status (measured through household wealth quintiles), sanitation facilities (categorized as improved, unimproved, or open defecation), MHM practices (type of menstrual products used and availability of privacy for washing or changing), and presence of functional difficulties. Inadequate MHM was operationalized as the lack of access to menstrual products such as sanitary pads, tampons, or reusable cloths, insufficient privacy or facilities to maintain hygiene during menstruation, or reliance on suboptimal sanitation practices such as unimproved latrines or open defecation.

Descriptive statistics were used to summarize the characteristics  of  the  sample.  Pearson’s  chi-square test  was  employed  for  bivariate  analysis  to  assess

associations between individual characteristics and absenteeism. Multivariate logistic regression was conducted because the outcome variable absenteeism is binary, allowing for the estimation of adjusted odds ratios while controlling for confounding variables. Crude odds ratios (COR) and adjusted odds ratios (aOR), along with 95% confidence intervals, were calculated. The model’s goodness-of-fit was assessed using the likelihood ratio chi-square test and pseudo-R-squared values.

RESULTS

The average age of participants was 28.3 ± 5.6 years. The 42.8% of women were absent from social activities, school, or work due to menstruation The selected women participants’ demographics are summarized in Table 1 below. They indicate the percentage distribution of each characteristic or attribute including demographic and socio-economic details; besides the frequency.

A bivariate analysis of the characteristics of the women and the absenteeism from social activities, school, or

Characteristics

Frequency

Percentage

Area of Residence

Urban

13,773

52.0

Rural

12,708

48.0

Age in years

15-19

5,863

22.1

20-24

4,844

18.3

25-29

4,554

17.2

30-34

4,096

15.5

35-39

3,376

12.8

40-44

2,240

8.4

45-49

1,508

5.7

Wealth Quintiles

Poorest

4,971

18.8

Second

5,348

20.2

Middle

5,780

21.8

Fourth

5,327

20.1

Richest

5,055

19.1

Educational Status

Pre-primary or none

14,409

54.4

Primary

3,225

12.2

Middle

1,794

6.8

Secondary

3,019

11.4

Higher

4,034

15.2

Marital Status

Currently Married

17,070

64.5

Formerly Married

612

2.3

Never Married

8,799

33.2

Sanitation

Improved

19,127

72.2

Unimproved

1,325

5.0

Open Defecation

6,029

22.8

Women can wash and change in privacy while at home during last menstruation

Yes

22,092

83.4

 

Table 1: Women participants’ characteristics.

Characteristics

Frequency

Percentage

No

4,389

16.6

Sanitary  pads,  tampons,  or  cloth  are  used  during  the  last menstruation

Yes

21,473

81.1

No

5,008

18.9

Absent  from  social  activities,  school,  or  work  due  to  last menstruation

Yes

11,334

42.8

No

15,147

57.2

work due to inadequate MHM is illustrated in Table 2 absenteeism due to inadequate MHM was significantly associated  with rural residence,  younger  age  (15-24 years), lower wealth quintiles, and lower education (p<0.001).    Women    with    unimproved    sanitation,

Variable

Women Absenteeism Due to Lack of MHM

Yes n (%)

No

n (%)

p-value

Area of Residence

Urban

5,058 (36.72)

8,715 (63.28)

<0.001

Rural

6,276 (49.39)

6,432 (50.61)

Age in years

15-19

2,581 (44.04)

3,282 (56.96)

<0.001

20-24

2,203 (45.50)

2,641 (54.50)

25-29

1,973 (43.35)

2,581 (56.65)

30-34

1,770 (43.21)

2,326 (56.79)

35-39

1,358 (40.20)

2,018 (59.80)

40-44

853 (38.08)

1,387 (61.92)

45-49

594 (39.39)

914 (60.61)

Wealth Quintiles

Poorest

2,387 (48.02)

2,584 (51.98)

<0.001

Second

2,862 (53.50)

2,486 (46.50)

Middle

2,944 (50.93)

2,836 (49.07)

Fourth

1,911 (35.89)

3,416 (64.11)

Richest

1,230 (24.33)

3,825 (75.67)

Educational Status

Pre-primary or none

6,724 (46.70)

7,685 (53.30)

<0.001

Primary

1,495 (46.39)

1,730 (53.61)

Middle

694 (38.68)

1,100 (61.32)

Secondary

983 (32.56)

2,036 (67.44)

Higher

1,432 (35.50)

2,602 (64.50)

Marital Status

Currently Married

7,421 (43.48)

9,649 (56.52)

<0.001

Formerly Married

220 (35.95)

392 (64.05)

Never Married

3,693 (41.96)

5,106 (58.04)

Sanitation

Improved

7,721 (40.38)

11,406 (59.62)

<0.001

Unimproved

791 (59.70)

534 (40.30)

Open Defecation

2,822 (46.76)

3,207 (53.24)

Privacy to Wash/Change

Yes

10,452 (47.27)

11,640 (52.73)

<0.001

No

892 (20.30)

3,497 (79.70)

Use of Pads/Tampons/Cloth

Yes

9,466 (44.07)

12,007 (55.93)

<0.001

No

1,868 (37.34)

3,140 (62.66)

 

Table 2: Bivariate analysis of, the association between women’s characteristics and women’s absenteeism from social activities, school, or work due to MHM.

lack of privacy for washing/changing, and those not using sanitary products were significantly associated (p<0.001).

Table 3 presents the Crude Odds Ratios (COR) for factors associated with absenteeism due to inadequate menstrual hygiene management (MHM). Women residing in rural areas had significantly higher odds of absenteeism due to inadequate MHM compared to those in urban areas (COR: 1.68, 95% CI: 1.60-1.77). Younger women were more likely to experience absenteeism, with significantly higher odds observed among those aged 15-19 years (COR: 1.21, 95% CI: 1.08-1.36), 20-

24 years (COR: 1.28, 95% CI: 1.14-1.44), 25-29 years (COR: 1.18, 95% CI: 1.05-1.33). Wealth status was also significantly associated with absenteeism. Women from the second (COR: 1.25, 95% CI: 1.15-1.35) and middle (COR: 1.12, 95% CI: 1.04-1.21) quintiles had increased odds of absenteeism compared to the poorest. In contrast, women from the fourth (COR: 0.60, 95% CI:

0.56-0.66) and richest (COR: 0.35, 95% CI: 0.32-0.38)

quintiles had significantly lower odds of absenteeism.

Women using unimproved sanitation facilities had greater

odds of absenteeism than those with improved sanitation

Table 3: Logistic regression model factors associated with women’s absenteeism due to inadequate MHM.

(1.07-1.38)

Area of Residence

COR (95% CI)

p-value

aOR (95% CI)

p-value

Urban

Reference Category

Reference Category

Rural

1.68 (1.60-1.77)

*<0.001

1.09 (1.02-1.16)

*0.013

Age in years

15-19

1.21 (1.08-1.36)

*0.001

1.23 (1.07-1.40)

*0.004

20-24

1.28 (1.14-1.44)

*<0.001

1.34 (1.18-1.52)

*<0.001

25-29

1.18 (1.05-1.33)

*0.007

1.21

*0.003

30-34

1.17 (1.04-1.32)

*0.001

1.17 (1.03-1.33)

*0.017

35-39

1.03 (0.91-1.17)

0.595

1.02 (0.89-1.16)

0.757

40-44

0.94 (0.83-1.08)

0.419

0.96 (0.84-1.11)

0.647

45-49

Reference category

Reference category

Wealth Quintiles

Poorest

Reference category

Reference category

Second

1.25 (1.15-1.35)

*<0.001

0.95

0.261

Middle

1.12 (1.04-1.21)

*0.002

0.79 (0.70-0.88)

*<0.001

Fourth

0.60 (0.56-0.66)

*<0.001

0.42 (0.37-0.48)

*<0.001

Richest

0.35 (0.32-0.38)

*<0.001

0.23 (0.21-0.27)

*<0.001

Marital Status

Currently Married

Reference category

Reference category

Formerly Married

0.73 (0.62-0.86)

*<0.001

0.75

*0.001

Never Married

0.94 (0.89-0.99)

*0.019

0.94 (0.88-1.01)

*0.115

 

(0.86-1.04)

(0.62-0.89)

Area of Residence

COR (95% CI)

p-value

aOR (95% CI)

p-value

Sanitation

Improved

Reference category

Reference category

Unimproved

2.18 (1.95-2.45)

*<0.001

1.36 (1.20-1.54)

*<0.001

Open Defecation

1.29 (1.22-1.37)

*<0.001

0.80 (0.72-0.88)

*<0.001

Women are able to wash and change in privacy while at home during the last Menstruation

Yes

Reference category

Reference category

No

3.52 (3.25-3.81)

*<0.001

4.29 (3.96-

4.65)

*<0.001

Sanitary  pads,  tampons,  or  cloth  are  used  during  the  last

Menstruation ~

Yes

Reference category

No

1.32 (1.24-1.41)

*<0.001

1.36 (1.20-1.54)

*<0.001

Model’s Diagnostics

Number of Observations: 26,481

P-value (LR-Chi

Sqr)<0.0001

LR (df=16): 2949.78

Pseudo R-sqr: 0.0816

CI=Confidence  Interval;  COR=Crude  Odds  Ratio;  aOR=Adjusted

Odds Ratio

*p-value<0.05

~variable excluded from the regression model after different iterations

(COR: 2.18, 95% CI: 1.95-2.45). Lack of privacy for washing and changing during menstruation was strongly associated with absenteeism, with women who lacked privacy having significantly higher odds of absenteeism (COR: 3.52, 95% CI: 3.25-3.81). Additionally, women who did not use sanitary pads, tampons, or cloth had significantly increased odds of absenteeism (COR: 1.32,

95% CI: 1.24-1.41).

After adjusting for covariates, significant associations remained for several variables. Women in rural areas had higher odds of absenteeism (aOR: 1.09, 95% CI:

1.02-1.16) than urban women. Younger women aged

15-19 years (aOR: 1.23, 95% CI: 1.07-1.40), 20-24 years (aOR: 1.34, 95% CI: 1.18-1.52), 25-29 years (aOR: 1.21, 95% CI: 1.07-1.38), and 30-34 years (aOR:

1.17, 95% CI: 1.03-1.33) had significantly higher odds of absenteeism than women aged 45-49 years. Wealth quintiles were also associated with absenteeism, with significantly lower odds among the richest (aOR: 0.23,

95% CI: 0.21-0.27), fourth (aOR: 0.42, 95% CI: 0.37-

0.48), and middle-class (aOR: 0.79, 95% CI: 0.70-0.88) compared to the poorest. Sanitation was significantly linked to absenteeism, with higher odds among women using unimproved facilities (aOR: 1.36, 95% CI: 1.20-

1.54)  compared  to  those  with  improved  sanitation. The absence of privacy during menstruation remained strongly associated with absenteeism, with women who lacked privacy having significantly higher odds (aOR:

4.29, 95% CI: 3.96-4.65) of being absent.

DISCUSSION

The prevalence of absenteeism due to menstruation varies significantly across contexts. In this study, 42.8% of  women  reported  absenteeism,  which  is  notably

higher than in other regions. For instance, rural northern

Ghana  reported  27.5%  of  adolescent  girls  aged  15-

19 years missing school due to menstruation [7], and a multicounty analysis of MICS data from 44 low- and middle-income countries (2017-2023) found a pooled prevalence of 15%, with South Asia reporting the highest at 19.7% [8]. Nepal recorded 22.1% [9], while Tanzania noted geographic disparities as key determinants, with about 30% of girls missing school [10].

This suggests that place of residence, particularly in rural settings, remains a powerful determinant of menstrual hygiene management (MHM) outcomes. Poor access to sanitary products, inadequate sanitation facilities, and lack of privacy contribute to absenteeism. Geographic isolation limits product availability, and even when available, affordability may remain a barrier. In Pakistan, menstrual products such as sanitary pads are generally available in urban markets; however, rural distribution is limited and sporadic. A recent report by UNICEF (2023) highlighted that around 50% of adolescent girls in rural Pakistan lack access to commercial menstrual products. Moreover, market prices are prohibitively high for low- income families, often costing 200-400 PKR per pack, which is unaffordable for many. As of May 2025, 1 USD equals approximately 278 PKR, making a standard pack of pads cost around USD 0.72-1.44. The average rural household income in Pakistan is estimated to be under PKR 25,000 per month (USD ~90), rendering such products inaccessible to many [11]. Surveys assessing affordability  in  Pakistan  are  limited,  but  economic constraints are commonly cited as a barrier in qualitative studies.

The findings also revealed that younger women (15-

24 years) had significantly higher odds of absenteeism (aOR 1.17-1.33), consistent with prior African studies where younger women were more likely to miss work or school due to menstruation (OR 1.28, 95% CI 0.85-1.92) [12]. This could be attributed to a lack of knowledge about menstruation, inexperience in self-care practices, and heightened embarrassment or stigma. Cultural taboos in Pakistan also play a major role, where menstruation is still considered a ‘hidden’ or shameful topic. In many conservative communities, young girls are discouraged from discussing menstruation, which hinders education and open dialogue, contributing to poor hygiene practices and absenteeism.

A strong inverse relationship between wealth and absenteeism was found, where women in the richest quintile had significantly reduced odds of absenteeism (aOR = 0.22). This highlights how socioeconomic status (SES) mitigates MHM-related challenges. Wealthier individuals are better able to purchase sanitary products, access clean and private facilities, and overcome cultural barriers. A systematic review of university students in LMICs showed that higher SES was associated with reduced absenteeism due to improved access to MHM resources [13, 14].

Not using menstrual products such as sanitary pads or tampons was associated with a 1.33 times greater likelihood   of   absenteeism.   This   finding   supports previous literature that links product use with school and work attendance [13]. Affordability and accessibility again play critical roles. While products may be available,  they are not always  financially  accessible. Therefore, “improved access” must go beyond physical availability—it must include affordability, awareness, and cultural acceptability. Without subsidized programs or government support, mere market availability does not equate to real access.

Sanitation conditions also had a significant association with absenteeism. Women using unimproved sanitation facilities had a higher likelihood of absenteeism. This is particularly concerning for self-employed and daily wage earners who lack formal toilet access. Studies globally support that poor sanitation leads to chronic health problems and psychological distress, reinforcing the need for adequate menstrual-friendly facilities [15]. Privacy was another critical factor—women who lacked private places to wash and change reported higher absenteeism, emphasizing the importance of dignity in menstruation [16, 17].

Cultural opposition from local elders and religious groups has been documented in parts of Pakistan. Some  conservative  communities  discourage  the  use of commercial menstrual products, viewing them as “unnatural”  or  promoting  immorality.  Religious  and social taboos further prevent women from purchasing or using such products freely. Recent movements, such as the “Mahwari Justice” campaign, and organizations like Aahung and Greenstar Social Marketing, have actively worked to challenge these taboos and raise awareness on menstrual health [18, 19]. This socio- cultural resistance hinders the impact of interventions unless community buy-in and sensitization are ensured. The Ministry of Health has recently included menstrual hygiene as part of its broader sexual and reproductive health framework, with efforts being led under initiatives like the Sehat Sahulat Program in some provinces [20].

Regarding regional comparisons, one referenced study from Africa must be contextualized more specifically. The cited research was conducted in Uganda, which, while facing similar resource constraints, has distinct cultural and governmental approaches to MHM. Unlike Pakistan, Uganda has piloted school-based pad distribution programs with community engagement, which may explain differences in absenteeism rates. However, both countries share issues of affordability, stigma, and infrastructure gaps [21].

It is important to note that menstrual-related absenteeism is not solely due to product shortages. A deeper understanding of hygiene knowledge, cultural beliefs, gender norms, and health literacy is essential.

Interventions should thus adopt a comprehensive approach combining education, subsidies, infrastructure development, and community mobilization.

STRENGTHS OF THE STUDY

This study’s strengths lie in its use of nationally representative MICS data from over 26,000 women, providing robust insights into the relationship between MHM practices and absenteeism. The multivariate approach allows for the identification of independent associations while accounting for key sociodemographic variables. Moreover, the focus on adolescent and rural women highlights under-researched populations most at risk of poor MHM outcomes.

LIMITATIONS

This study is based on secondary analysis using MICS data and thus lacks in-depth contextual and qualitative information. Its cross-sectional nature prevents causal inferences. Self-reported outcomes may be prone to recall or social desirability bias. Additionally, national- level data on menstrual product affordability and cultural barriers remain scarce in Pakistan. Future research should incorporate longitudinal and qualitative designs to better understand contextual nuances.

CONCLUSION

This study highlights the urgent need to improve menstrual hygiene practices in Pakistan, particularly among adolescent girls and women in rural areas. Enhancing access to affordable sanitary products, improving the quality and availability of sanitation facilities,  and  fostering  supportive  environments through schools, families, workplaces, and community leaders  are  critical  steps  to  reduce  menstruation- related absenteeism. Policymakers and public health practitioners must prioritize integrated, multi-sectoral interventions to ensure sustainable improvements in menstrual health and educational and occupational participation for women.

The study’s findings offer direct policy implications: integrating menstrual hygiene into national and provincial health policies, expanding school- and community-based distribution of sanitary products, and including menstrual health education in school curricula. Subsidizing menstrual    products    for    low-income    households and  ensuring  menstrual-friendly  infrastructure  in public institutions should be a government priority. Collaborations between health, education, and gender ministries can support the development of sustainable, equity-focused programs addressing both product accessibility and social stigma.

LIST OF ABBREVIATIONS

WHO: World Health Organization

MHM: Menstrual Hygiene Management

MICS: Multiple Indicator Cluster Survey

ETHICS APPROVAL

De-identified secondary data were employed for this research since they are obtained from the public and open-access sources. Thus, it shall not be a violation of confidentiality at virtually any time. The data collection was done using a register-based sampling technique after registration in the MICS.

CONSENT FOR PUBLICATION

Not applicable.

AVAILABILITY OF DATA

The data is available online at MICS 2018-2019.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

ACKNOWLEDGEMENTS

The authors would like to express their sincere gratitude to all the participants and stakeholders who contributed to this research. Special thanks to the field data collection teams and institutional collaborators for their support and coordination. We also acknowledge the valuable guidance provided by our mentors and colleagues throughout the study.

AUTHORS’ CONTRIBUTION

Sameera Ali Rizvi: Conceptualized the study idea.

Muhammad Kazim Jafri: Provided data and conducted initial analysis.

Syeda Tabeena Ali: Performed full data analysis. Nida Shoaib: Proofread the manuscript.

REFERENCES

1. Betsu BD, Medhanyie AA, Gebrehiwet TG, Wall LL. Menstrual hygiene management interventions and their effects on schoolgirls’ menstrual hygiene experiences in low- and middle-income countries: A systematic review. PLoS One 2024; 19(8): e0302523. DOI: https://doi.org/10.1371/journal.pone.0302523

2. Sommer M, Sahin M. Overcoming the taboo: Advancing the global agenda for menstrual hygiene management for schoolgirls. American Journal of Public Health 2013; 103(9): 1556–9. DOI: https://doi.org/10.2105/AJPH.2013.301374

3. Sommer M, Hirsch JS, Nathanson C, Parker RG. Comfortably, safely, and without shame: Defining menstrual hygiene management as a public health issue. American Journal of Public Health 2015; 105(7): 1302–11. DOI: https://doi.org/10.2105/AJPH.2014.302525

4. Deshpande TN, Patil SS, Gharai SB, Patil SR, Durgawale PM. Menstrual hygiene among adolescent girls – A study from urban slum area. Journal of Family Medicine and Primary Care 2018; 7(6): 1439–45. DOI: https://doi.org/10.4103/jfmpc.jfmpc_80_18

5. Anbesu EW, Asgedom DK. Menstrual hygiene practice and associated factors among adolescent girls in sub-Saharan Africa: A systematic review and meta-analysis. BMC Public Health 2023; 23: 33. DOI: https://doi.org/10.1186/s12889-022-14942-8

6. Wasan Y, Baxter JB, Rizvi A, Shaheen F, Junejo Q, Abro M, et al. Practices and predictors of menstrual hygiene management material use among adolescent and young women in rural Pakistan: A cross-sectional assessment. Journal of Global Health 2022; 12: 04059. DOI: https://doi.org/10.7189/jogh.12.04059

7. Sindh Bureau of Statistics, UNICEF Pakistan. Sindh Multiple Indicator Cluster Survey 2018–19, Survey Findings Report. Karachi: Bureau of Statistics Sindh and UNICEF Pakistan; 2021. Available from: https://mics.unicef.org/surveys

8. Sommer M, Sclar G, Rojas S, Hopkins J, Psaki S, Mahon T, et al. Menstrual health and school absenteeism among adolescents: A global systematic review and meta-analysis. medRxiv 2024; 2024.05.07.24307016. DOI: https://doi.org/10.1101/2024.05.07.24307016

9. Ranabhat D, Nepal S, Regmi B. Menstrual hygiene practice and school absenteeism among rural adolescent girls of Kalikot district. Nepal Medical College Journal 2019; 21(4): 258–64. DOI: https://doi.org/10.3126/nmcj.v21i4.27614

10. Method A, Hassan J, Assenga O, Kamugisha P, Kawishe T, Luchagura F, et al. Challenges faced by adolescent girls on menstrual hygiene management: School-based study, Siha, Kilimanjaro, Tanzania. PLOS Global Public Health 2024; 4(6): e0002842. DOI: https://doi.org/10.1371/journal.pgph.0002842

11. Pakistan Bureau of Statistics. Household Integrated Economic Survey (HIES) 2020–21. Islamabad: Government of Pakistan; 2022.

12. Hennegan J, OlaOlorun FM, Oumarou S, Kamugisha P, Kawishe T, Luchagura F, et al. School and work absenteeism due to menstruation in three West African countries: Findings from PMA2020 surveys. Sexual and Reproductive Health Matters 2021; 29(1): 1915940. DOI: https://doi.org/10.1080/26410397.2021.1915940

13. Munro AK, Hunter EC, Hossain SZ, Keep M. A systematic review of the menstrual experiences of university students and the impacts on their education: A global perspective. PLoS One 2021; 16(9): e0257333. DOI: https://doi.org/10.1371/journal.pone.0257333

14. Schoep ME, Adang EMM, Maas JWM, De Bie B, Aarts JWM, Nieboer TE. Productivity loss due to menstruation-related symptoms: A nationwide cross-sectional survey among 32,748 women. BMJ Open 2019; 9(6): e026186. DOI: https://doi.org/10.1136/bmjopen-2018-026186

15. Roy D, Kasemi N, Halder M, Majumder M. Factors associated with exclusive use of hygienic methods during menstruation among adolescent girls (15–19 years) in urban India: Evidence from NFHS-5. Heliyon 2024; 10(8): e29731. DOI: https://doi.org/10.1016/j.heliyon.2024.e29731

16. Borg SA, Bukenya JN, Kibira SPS, Nakamya P, Makumbi FE, Exum NG, et al. The association between menstrual hygiene, workplace sanitation practices, and self-reported urogenital symptoms in a cross-sectional survey of women working in Mukono District, Uganda. PLoS One 2023; 18(7): e0288942. DOI: https://doi.org/10.1371/journal.pone.0288942

17. Rossouw L, Ross H. Understanding period poverty: Socioeconomic inequalities in menstrual hygiene management in eight low- and middle-income countries. International Journal of Environmental Research and Public Health 2021; 18(5): 2571. DOI: https://doi.org/10.3390/ijerph18052571

18. Mahwari Justice. Periods not shameful: Campaign for menstrual equity. Available from: https://mahwarijustice.pk

19. Aahung. Promoting sexual and reproductive health and rights in Pakistan. Available from: https://aahung.org

20. Ministry of National Health Services, Regulations & Coordination. National Reproductive Health Framework – Pakistan 2023–2028. Islamabad: Government of Pakistan; 2023.

21. Boosey R, Prestwich G, Deave T. Menstrual hygiene management amongst schoolgirls in the Rukungiri district of Uganda and the impact on their education: A cross-sectional study. Pan African Medical Journal 2014; 19: 253. DOI: https://doi.org/10.11604/pamj.2014.19.253.5313