Occupational and Environmental Risk Factors of Pregnant Workers: Systematic Review
- Astri Nurdiana , Faculty of Public Health, Universitas Indonesia
- Dumilah Ayuningtyas , School of Stratgic and Global Studies, Universitas Indonesia
- Solikhah Yuliatiningtyas , School of Stratgic and Global Studies, Universitas Indonesia
Article Information:
Abstract:
Despite numerous national and global programs focused on maternal and child nutrition, industrial workers are often overlooked in policy and practice. These workers frequently expose by several occupational hazards yet lack access to antenatal care and workplace accommodations that would support maternal health. This paper seeks to synthesize current evidence on occupational hazards in pregnant workers and its effect on pregnancy complication and birth outcomes that risk to stunting. This review searched PubMed, and Scopus artificial intelligent for 2010–2025 literature on pregnant workers and low birth weight/preterm birth related articles. This review highlights a wide range of workplace hazards during pregnancy that affect birth outcomes such as preterm birth and low birth weight (stunting-risk baby). This study combines 40 eligible English language articles, then it classified an occupation exposure that affect birth outcome into nine main categories: biological, physical, chemical, radiation, infectious, psychological, socio-economic, biomechanics, and organizational governance. Even though there are a lot of evidence that pregnancy risks might appear because of occupational hazard exposure, occupational health and maternity protection legislation have not done enough effort to address them, especially in informal and low-resource workplaces. To lower health disparities and stunting between generations, we need better employment rights, better integration of maternity care, and more support for labor governance.
Keywords:
Article :
Occupational and Environmental Risk Factors of Pregnant Workers: Systematic Review:
Occupational and Environmental Risk Factors of Pregnant Workers: Systematic Review
Astri Nurdiana1, Dumilah Ayuningtyas2, Solikhah Yuliatiningtyas3
1Faculty of Public Health, Universitas Indonesia,
2,3 School of Stratgic and Global Studies, Universitas Indonesia
[1]astri.nurdiana@fikes.unsika.ac.id, [2] dumilah.ayuningtyas@gmail.com, [3]solikhah@ui.ac.id
ABSTRACT
Despite numerous national and global programs focused on maternal and child nutrition, industrial workers are often overlooked in policy and practice. These workers frequently expose by several occupational hazards yet lack access to antenatal care and workplace accommodations that would support maternal health. This paper seeks to synthesize current evidence on occupational hazards in pregnant workers and its effect on pregnancy complication and birth outcomes that risk to stunting. This review searched PubMed, and Scopus artificial intelligent for 2010–2025 literature on pregnant workers and low birth weight/preterm birth related articles. This review highlights a wide range of workplace hazards during pregnancy that affect birth outcomes such as preterm birth and low birth weight (stunting-risk baby). This study combines 40 eligible English language articles, then it classified an occupation exposure that affect birth outcome into nine main categories: biological, physical, chemical, radiation, infectious, psychological, socio-economic, biomechanics, and organizational governance. Even though there are a lot of evidence that pregnancy risks might appear because of occupational hazard exposure, occupational health and maternity protection legislation have not done enough effort to address them, especially in informal and low-resource workplaces. To lower health disparities and stunting between generations, we need better employment rights, better integration of maternity care, and more support for labor governance.
KEYWORDS: Industrial workers, Low Birth Weight, Pregnancy, Preterm Birth, Public health, Stunting.
How to Cite: Astri Nurdiana, Dumilah Ayuningtyas, Solikhah Yuliatiningtyas, (2025) Occupational and Environmental Risk Factors of Pregnant Workers: Systematic Review, European Journal of Clinical Pharmacy, Vol.7, No.1, pp. 4139-4153
INTRODUCTION
Stunting impacts millions of children worldwide. Stunting occurs when a child's growth and development are hindered, resulting in a height-for-age significantly below World Health Organization (WHO) growth criteria. Inadequate nutrition, infections, healthcare access, and socioeconomic situations contribute to it (Black et al., 2008; Kana et al., 2020; Unicef/WHO/World Bank, 2021).
Beyond childhood, stunting has an impact on educational attainment, productivity, and the socioeconomic development of the nation as a whole (Saaka, 2020; Santoso et al., 2019; Sofiatin et al., 2019). Prevention of stunting during pregnancy is of the utmost significance because it lays the foundation for the child's future health and development. Pregnancy is a crucial opportunity to promote optimal growth and development, thereby assuring the child's lifelong health (Saaka, 2020; Santoso et al., 2019; Sofiatin et al., 2019).
Despite numerous national and global programs focused on maternal and child nutrition, industrial workers are often overlooked in policy and practice. These workers frequently expose by several occupational hazards yet lack access to antenatal care and workplace accommodations that would support maternal health (Henrotin et al., 2017; Lavin et al., 2017).
OBJECTIVE
This paper seeks to synthesize current evidence on occupational hazards in pregnant workers and its effect on pregnancy complication and birth outcomes that risk to stunting, such as low birth weight and preterm birth. The study explored through systematic review and outline a policy framework to mitigate its impact on childbirth outcomes.
MATERIAL AND METHODS
A. Search Strategy
This review searched PubMed, and Scopus artificial intelligent (AI) for 2010–2025 literature on pregnant workers and low birth weight/preterm birth related articles. Search terms included “occupational hazard during pregnancy,” “pregnant workers and low birth weight,” and “pregnant worker and preterm birth.”
Table 1 shows the Population, Intervention, Comparison, Outcome (PICO) structure that implemented to limit the literature search
|
Population |
Pregnant workers in the formal sectors |
|
Intervention |
Occupational Expossure during pregnancy |
|
Comparison |
No comparison |
|
Outcome |
Pregnancy complication, Low birth weight, preterm birth |
B. Eligibility Criteria
This study excludes articles discussing trials of intervention models for stunting management, such as cash transfer programs, mobile health, etc. The review process is circumscribed to articles written in English with pregnant workers in the formal sectors as subjects and newborns as outcomes, but the countries involved are unrestricted. The inclusion criteria were studies that: (1) analyzed occupational health risks related to pregnancy, (2) occupational hazard exposure, and (3) focused on industrial or labor-intensive work environments. Exclusion criteria included non-English language publications, studies unrelated to maternal or child outcomes, and opinion articles lacking empirical data.
C. Study Selection, data extraction and analysis
Articles obtained from multiple digital libraries ate included in the endnote; then, the duplicated articles are omitted. The article was then screened based on the title and abstract, which were subsequently screened based on the full text to ensure that it met the eligibility requirements. The data from the selected documents are entered into the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagram depicted in Figure 1.
D. Risk of Bias Assessment
Risk of bias assessment is a critical step in evaluating the quality and reliability of research studies included in systematic reviews or other evidence synthesis. It involves assessing the methodological rigor and potential biases in individual studies that can affect the validity of their findings. The assessment of risk of bias involves evaluating specific domains or aspects of a study design that may introduce biases. The risk of bias assessment in this study employed different instruments based on the research methodology used in each article. For systematic literature reviews and meta-analyses, the AMSTAR 2 tool developed by Shea et al. (2017) was applied. Cohort, case-control, and descriptive studies were evaluated using the JBI Critical Appraisal Checklist by Moola et al. (2017), while cross-sectional studies were assessed using the checklist provided by Aromataris et al. 2020. All risk of bias assessments is provided in the supplementary materials.
FINDINGS
Study selection contains in 2 different steps, first through PubMed advance search. 298 articles were identified, 12 were duplicated; title and abstract screening resulted in the exclusion of 108 articles. The 165 articles were then subjected to deeper content screening, which resulted in the exclusion of 127 articles due to non-compliance with the PICO.
Second step, through Scopus AI, articles were searched using 3 prompts “occupational hazard during pregnancy related article from 2010-2025”, “pregnant workers and low birth weight related article from 2010-2025” and “Pregnant workers and preterm birth related article from 2010-2025.” This search resulted 16 eligible articles to review. In the concluding phase, 40 articles from PubMed and Scopus AI search meeting the review criteria were identified (Figure 1).
These 40 articles used several types of methodology, such as 7 narrative literature review, 2 meta-analysis, 10 prospective cohort study, 8 retrospective cohort study, 11 cross-sectional articles, 1 case-control study, and 1 descriptive article (Table 1).
Figure 1. PRISMA Flow Diagram (Page et al., 2021)
Table 1. Study Characteristics
|
No |
Author |
Study Design |
Subject |
Country |
Exposure |
Key Findings |
|
1. |
(Birks et al., 2016) |
Retrospective Cohort |
133,957 mother–child pairs
|
European countries |
Endocrine-Disrupting Chemicals Exposure |
Employment during pregnancy in occupations classified as possibly or probably exposed to Endocrine-Disrupting Chemicals was associated with an increased risk of low birth weight |
|
2. |
(Szczesna et al., 2019) |
Narrative Literature Review |
Surgeon |
Poland |
Physical, biological, chemical, radiation and infection hazards |
Multiple occupational hazards can harm pregnant surgeons and their foetuses. Standing, heavy lifting, long hours, and night shifts can raise the risk of preterm birth and foetal growth limitation. Infectious diseases like CMV, Rubella, and HIV, surgical smoke, disinfectants, and anaesthetic gases can also affect the foetus. |
|
3. |
(Weis et al., 2020) |
Prospective cohort study |
246 pregnant military women |
United States |
Prenatal maternal anxiety and depression |
An increase in pregnancy-related anxiety was significantly associated with low birth weight and preterm birth. |
|
4. |
(Hanprasertpong & Hanprasertpong, 2015) |
Retrospective chart review study |
240 pregnant migrant workers |
Thailand |
Socioeconomic and healthcare access barriers |
The study found high rates of maternal complications among southeast Asian migrant workers, including pre-eclampsia (15%), gestational diabetes (7.9%), and preterm birth (13.7%). Neonatal issues included low APGAR scores, IUGR (3.7%), and NICU admissions (11.3%). Key risk factors for adverse maternal outcomes were anaemia, underlying disease, and antenatal care location. Preterm birth was the only significant predictor of poor neonatal outcomes. |
|
5. |
(Francis et al., 2021) |
Narrative literature review |
Not specified |
USA, Europe, Asia |
Chemical, physical, biological, ergonomic, and psychosocial hazards |
Occupational exposures such as standing for long periods, shift work, heavy lifting, exposure to hazardous substances (like solvents or aesthetic gases), and high job stress are linked to increased risks of miscarriage, preterm birth, low birth weight, and other complications. |
|
6. |
(Flores et al., 2025) |
Narrative literature review |
23 studies |
Not Specified |
Shift work during pregnancy
|
Shift work during pregnancy influences the prevalence for heart disease is of paramount clinical importance for minimizing the risk for cardiovascular disease for both the mother and offspring
|
|
7. |
(Tyagi et al., 2023) |
Systematic scoping review |
95 studies related to Bidi workers |
India |
Chemical exposure of the Bidi workers |
Multiple organ disease is common in bidi labourers. Research on female bidi workers shows lower fertility, miscarriage, and cervical cancer risk. Non-bidi workers have lower risks of anaemia, pregnancy-induced hypertension, neonatal death, stillbirth, and preterm delivery than pregnant bidi workers. |
|
8. |
(Lee et al., 2024) |
Prospective cohort study |
1,512,350 pregnant women who gave birth between 2011 and 2015 |
South Korea |
Night shift |
Miscarriage, stillbirth, and preterm birth were significantly elevated by longer maternal working hours during pregnancy. Even after controlling for age, income, employment, and comorbidities, women who worked more than 52 hours per week had the highest risks. |
|
9. |
(Selander et al., 2019) |
Retrospective Cohort |
19 studies |
Low- and middle-income countries (LMIC’s) across Asia, Africa, and Latin America. |
Occupational Noise |
Occupational noise exposure during pregnancy was categorised into three levels: <75 dba, 75-85 dba, and >85 dba. After controlling for BMI, smoking, parity, education, physically hard employment, and low job control, full-time exposure to high noise levels (>85 decibels) was substantially related with adverse birth outcomes. Compared to those exposed to <75 dba, the probabilities of delivering a small-for-gestational-age newborn and low birth weight were 1.44 and 1.36 times greater, respectively. No significant connection was seen for premature birth. |
|
10. |
(Shirangi et al., 2020) |
Nationwide prospective cohort study |
1,422,333 singleton children |
Sweden |
Occupational exposure to endocrine disrupting chemicals (EDC) |
Maternal occupational exposure to pesticides and phthalates during pregnancy was significantly associated with increased risks of adverse birth outcomes. |
|
11. |
(Sejbaek et al., 2025) |
The register-based cohort |
Approximately 1 million unique women |
Denmark |
Physical workload |
This study confirms past findings that excessive physical exertion during pregnancy increases the likelihood of unfavourable pregnancy outcomes in an unselected group of employed women tracked over 40 years. |
|
12. |
(Corchero-Falcón et al., 2023) |
Cross-sectional study |
1,743 pregnant women |
Iran |
Work-related factors such as physical strain, long working hours, and job satisfaction |
Several work-related illnesses were linked to poor pregnancy outcomes. Women who stood longer than 6 hours a day or worked 40 hours a week had an increased risk of preterm birth and low birth weight. Workplace unhappiness and insufficient rest also elevated hazards. |
|
13. |
(Norlén et al., 2019) |
Prospective cohort study |
66,693 singleton pregnancies |
Denmark |
Occupational exposure to organic particles and Combustion products
|
Occupational exposure to organic particles or combustion products during pregnancy has been associated with an increased risk of foetal growth restriction and preterm birth. |
|
14. |
(Cai et al., 2019) |
Systematic review and meta-analysis |
Five electronic databases and 3 Gray literature sources were searched up to March 15, 2019. |
Canada |
Occupational shift work and working hours
|
Pregnant women who work rotating shifts, fixed night shifts, or longer hours have an increased risk of adverse pregnancy outcomes.
|
|
15. |
(Suzumori et al., 2020) |
Prospective cohort study |
99,744 singleton pregnancies |
Japan |
Long working hours and shift work
|
Employment during pregnancy slightly increased the chance of threatening miscarriage and premature labour. Long work hours also increased the incidence of hypertensive pregnancy problems, vacuum/forceps delivery, and SGA infants. |
|
16. |
(Bergstra et al., 2021) |
A cross-sectional study |
4488 singleton live births
|
the Netherlands
|
Air pollution
|
Exposure to PM₁₀, NOX, SO₂, and VOCs significantly reduced birth weight, length, and head circumference, with each interquartile range increase resulting in a 21-30 g birth weight drop. Exposure to PM₁₀ at the 90th percentile level resulted in a 74 g drop in birth weight, highlighting the negative effects of industrial air pollution on foetal growth. |
|
17. |
(Davari et al., 2018) |
Historical cohort study |
429 pregnant women (215 morning workers and 214 shift workers) |
Iran |
Rapid cycling shift schedules |
The risk of premature delivery increased considerably with shift work. It also increased spontaneous abortion, intrauterine foetal death, and pre-eclampsia, but these relationships were insignificant after correction. |
|
18. |
(Bengtsson et al., 2017) |
Prospective follow-up cohort study |
1,202 pregnant women |
Denmark |
Maternal occupational exposure to endocrine disrupting chemicals (EDC’s) |
The study showed no link between occupational EDC exposure and preterm or low birth weight. mothers possibly exposed to EDCs had somewhat greater birth weights than the general population, although this was not statistically significant compared to other referred mothers.. |
|
19. |
(Admas et al., 2025) |
Literature review |
26 studies
|
Global |
Psychosocial work stress
|
Workplace psychosocial stress increases the risk of pre-eclampsia, premature birth, pregnancy loss, and low foetal weight. Occupational therapists, employers, policymakers, and other stakeholders must work together to reduce these hazards and protect mother and infant. |
|
20. |
(Tartaglia et al., 2025) |
Prospective cohort study |
12,851 pregnant women |
France |
Occupational exposures to 47 agents (chemical, physical, biological, biomechanical, organizational and psychosocial) |
An occupational profile with postural restrictions (e.g., extended standing, uncomfortable positions) and psychological stressors (e.g., high job strain, inadequate support) may raise the risk of foetal growth restriction during pregnancy. |
|
21. |
(Abderhalden-Zellweger et al., 2024) |
Descriptive and correlational statistical analyses |
328 work situations |
Switzerland |
Occupational hazards and insufficient protective measures for pregnant workers |
Workplace hazards were present in 98% of cases. Only 14% of organisations analysed risk and 39% adapted jobs. Safe return to work was predicted by early occupational medicine consultation and pre-existing preventive measures. |
|
22. |
(Martiana et al., 2024) |
Analytical, observational case-control study |
144 female workers |
Indonesia |
Occupational hazards affecting pregnancy disorders |
Identified significant occupational hazards including workload, hot working environment, strong odours, shift work, and night shift work, all contributing to pregnancy disorders. |
|
23. |
(Wada et al., 2021) |
Cross-sectional study |
450 working women |
Not specified |
Factors affecting presenteeism and absenteeism among pregnant workers |
Occupational stress, physical conditions, and workplace adjustments were related to presenteeism. Pregnancy complications were the only factor associated with absenteeism. |
|
24. |
(Patil et al., 2020) |
Retrospective Cohort |
2,871 pregnant workers |
USA |
Employment precarity |
Women with high employment precarity had higher risk of a LBW delivery compared with women with low employment precarity |
|
25. |
(Ali et al., 2020) |
Analytical review and data analysis |
237 pregnant women and their Neonates |
Sudan |
Working workloads |
Employed women gave birth more to LBW babies compared to non-employed group |
|
26. |
(Mangla, 2022) |
Literature Review |
N/A |
N/A |
All work-related exposure risks for pregnant obstetrics and gynaecology professionals |
Pregnant healthcare workers often face discrimination, lack of adjusted duties for their condition, limited job-protected leave, and insufficient wage support during maternity leave. |
|
27. |
(van Beukering et al., 2022) |
Prospective cohort study |
269 participants |
The Netherlands |
Adherence to legislation and guidelines for safe working conditions during pregnancy |
Poor adherence to national guidelines, with 50% of pregnant women working under hazardous conditions. Lower educational attainment and employment in certain sectors increased risk of non-compliance. |
|
28. |
(Xavier et al., 2019) |
Cross-sectional study |
469 respondents |
Not specified |
Adverse pregnancy outcomes among healthcare workers |
Higher risk of adverse pregnancy outcomes among healthcare workers, with complete miscarriage being the most common, especially among those working shifts. |
|
29. |
(Rahman & Martiana, 2020) |
Cross-sectional study |
307 female workers |
Indonesia |
Risk factors associated with pregnancy disorders |
Identified vibrations, irritants, and repetitive work as significant risk factors for pregnancy disorders. |
|
30. |
(Zachek et al., 2019) |
Cross-sectional survey |
69 participants |
USA |
Occupational and environmental exposures during pregnancy |
Consistent incorporation of exposure assessment into prenatal care can improve clinical communications and early interventions for at-risk pregnant women. |
|
31. |
(d’Errico et al., 2025) |
Prospective cohort study |
3938 nulliparous women |
Italy |
Maternal occupational exposures and birth outcomes |
Passive smoking, heat, and dust exposure linked to adverse birth outcomes |
|
32. |
(Gustavsson et al., 2025) |
Prospective cohort study |
307,985 births |
Sweden |
Chemical exposure during pregnancy and gestational diabetes/preeclampsia |
Diesel and gasoline exhaust linked to preeclampsia; lead exposure linked to gestational diabetes |
|
33. |
(Olirk et al., 2025) |
Cross-sectional study |
400 post-delivery women |
Tanzania |
Maternal occupation and adverse foetal outcomes |
Agriculture workers had higher odds of congenital malformations, preterm birth, low birth weight, and low Apgar scores 4 |
|
34. |
(Henrotin et al., 2017) |
Cross-sectional study |
1,495 workers |
France |
Occupational hazards and sick leave during pregnancy |
Higher occupational hazards linked to increased sick leave |
|
35. |
(Pilarz & Pac, 2024) |
Literature Review |
Not Specified |
Not Specified |
Working during pregnancy |
Policies related to pregnancy employment can affect maternal and infant health |
|
36. |
(Izadi et al., 2024) |
Cross-sectional study |
733 healthcare workers |
Iran |
Occupational exposures and reproductive health |
Chemical exposures linked to stillbirth; prolonged working hours linked to spontaneous abortion and reduced breastfeeding period |
|
37. |
(M. V. et al., 2017) |
Cross-sectional study |
100 pregnant working women |
Not specified |
Work place stress |
work conditions for working women working more than 40 hours/week, social stress index were found to be a significant risk factor for adverse pregnancy outcome |
|
38. |
(Casas et al., 2015) |
Population-based birth cohort design |
>200,000 mother-child pairs |
13 European countries |
Association between maternal employment and birth outcomes |
Employment during pregnancy associated with reduced risk of preterm birth. Food industry workers had increased risk of preterm delivery |
|
39. |
(HM et al., 2015) |
Cross-sectional study |
500 pregnant women
|
Egypt |
Work Related Risk Factors
|
Working more than 40 hours/ week and social stress index were found to be a significant risk factors for adverse pregnancy outcomes
|
|
40. |
(Seung- et al., 2023) |
Retrospective Cohort |
1,825,845 employed and non-employed women
|
South Korea |
Job activity |
Health, social work, and manufacturing women lost more pregnancies than finance or insurance women. Manufacturing, retail, education, and public service jobs continuously had higher no-live-birth rates. These results imply that some jobs during pregnancy may cause unfavourable outcomes, stressing the need for more job-related studies. |
A total of 40 relevant studies were included in the table 1 then classified into the thematic analysis, study found nine occupational hazards linking to stunting-risk childbirth such as: biological, physical, chemical, radiation, infection, psychological, socio-economic, and biomechanical hazards, along with organizational governance. Findings from each theme were then synthesized to develop a conceptual framework to formulate a policy recommendation.
Table 2. Occupational Hazards linking to Stunting-Risk Childbirth Found in Several Studies
|
No |
Hazards |
Author |
Frequency (Article) |
|
1. |
Biological |
(Tartaglia et al., 2025), (Francis et al., 2021), (Flores et al., 2025), (Lee et al., 2024), (Abderhalden-Zellweger et al., 2024), (Zachek et al., 2019), (Henrotin et al., 2017), (Seung- et al., 2023) |
8 |
|
2. |
Physical |
(Szczesna et al., 2019), (Tartaglia et al., 2025), (Francis et al., 2021), (Flores et al., 2025), (Selander et al., 2019), (Sejbaek et al., 2025), (Corchero-Falcón et al., 2023), (Suzumori et al., 2020), (Davari et al., 2018), (Abderhalden-Zellweger et al., 2024), (Martiana et al., 2024), (Wada et al., 2021), (Ali et al., 2020), (Mangla, 2022), (Xavier et al., 2019), (Rahman & Martiana, 2020), (Zachek et al., 2019), (d’Errico et al., 2025), (Henrotin et al., 2017), (M. V. et al., 2017), (Casas et al., 2015), (HM et al., 2015), (Seung- et al., 2023) |
23 |
|
3. |
Chemical |
(Birks et al., 2016), (Szczesna et al., 2019), (Tartaglia et al., 2025), (Francis et al., 2021), (Tyagi et al., 2023), (Shirangi et al., 2020), (Norlén et al., 2019), (Bergstra et al., 2021), (Bengtsson et al., 2017), (Abderhalden-Zellweger et al., 2024), (Mangla, 2022), (Zachek et al., 2019), (d’Errico et al., 2025), (Gustavsson et al., 2025), (Olirk et al., 2025), (Henrotin et al., 2017), (Izadi et al., 2024), (Seung- et al., 2023) |
18 |
|
4. |
Radiation |
(Szczesna et al., 2019), (Abderhalden-Zellweger et al., 2024) |
2 |
|
5. |
Infection |
(Szczesna et al., 2019), (Abderhalden-Zellweger et al., 2024), (Mangla, 2022), (Xavier et al., 2019), (Seung- et al., 2023) |
5 |
|
6. |
Psychological |
(Weis et al., 2020), (Tartaglia et al., 2025), (Francis et al., 2021), (Sejbaek et al., 2025), (Corchero-Falcón et al., 2023), (Cai et al., 2019), (Suzumori et al., 2020), (Davari et al., 2018), (Admas et al., 2025), (Abderhalden-Zellweger et al., 2024), (Martiana et al., 2024), (Wada et al., 2021), (Patil et al., 2020), (Ali et al., 2020), (Mangla, 2022), (Xavier et al., 2019), (Rahman & Martiana, 2020), (Henrotin et al., 2017), (M. V. et al., 2017), (Casas et al., 2015), (HM et al., 2015), (Seung- et al., 2023), (Flores et al., 2025), (Lee et al., 2024) |
24 |
|
7. |
Socio-economic |
(Hanprasertpong & Hanprasertpong, 2015), (Mangla, 2022) |
2 |
|
8. |
Biomechanical |
(Tartaglia et al., 2025), (Francis et al., 2021) |
2 |
|
9. |
Organizational governance |
(van Beukering et al., 2022), (Xavier et al., 2019), (Pilarz & Pac, 2024), (Casas et al., 2015), (Hanprasertpong & Hanprasertpong, 2015), (Abderhalden-Zellweger et al., 2024), (Mangla, 2022) |
7 |
|
No |
Hazards |
Author |
Frequency (Article) |
|
10. |
Biological |
(Tartaglia et al., 2025), (Francis et al., 2021), (Flores et al., 2025), (Lee et al., 2024), (Abderhalden-Zellweger et al., 2024), (Zachek et al., 2019), (Henrotin et al., 2017), (Seung- et al., 2023) |
8 |
|
11. |
Physical |
(Szczesna et al., 2019), (Tartaglia et al., 2025), (Francis et al., 2021), (Flores et al., 2025), (Selander et al., 2019), (Sejbaek et al., 2025), (Corchero-Falcón et al., 2023), (Suzumori et al., 2020), (Davari et al., 2018), (Abderhalden-Zellweger et al., 2024), (Martiana et al., 2024), (Wada et al., 2021), (Ali et al., 2020), (Mangla, 2022), (Xavier et al., 2019), (Rahman & Martiana, 2020), (Zachek et al., 2019), (d’Errico et al., 2025), (Henrotin et al., 2017), (M. V. et al., 2017), (Casas et al., 2015), (HM et al., 2015), (Seung- et al., 2023) |
23 |
|
12. |
Chemical |
(Birks et al., 2016), (Szczesna et al., 2019), (Tartaglia et al., 2025), (Francis et al., 2021), (Tyagi et al., 2023), (Shirangi et al., 2020), (Norlén et al., 2019), (Bergstra et al., 2021), (Bengtsson et al., 2017), (Abderhalden-Zellweger et al., 2024), (Mangla, 2022), (Zachek et al., 2019), (d’Errico et al., 2025), (Gustavsson et al., 2025), (Olirk et al., 2025), (Henrotin et al., 2017), (Izadi et al., 2024), (Seung- et al., 2023) |
18 |
|
13. |
Radiation |
(Szczesna et al., 2019), (Abderhalden-Zellweger et al., 2024) |
2 |
|
14. |
Infection |
(Szczesna et al., 2019), (Abderhalden-Zellweger et al., 2024), (Mangla, 2022), (Xavier et al., 2019), (Seung- et al., 2023) |
5 |
|
15. |
Psychological |
(Weis et al., 2020), (Tartaglia et al., 2025), (Francis et al., 2021), (Sejbaek et al., 2025), (Corchero-Falcón et al., 2023), (Cai et al., 2019), (Suzumori et al., 2020), (Davari et al., 2018), (Admas et al., 2025), (Abderhalden-Zellweger et al., 2024), (Martiana et al., 2024), (Wada et al., 2021), (Patil et al., 2020), (Ali et al., 2020), (Mangla, 2022), (Xavier et al., 2019), (Rahman & Martiana, 2020), (Henrotin et al., 2017), (M. V. et al., 2017), (Casas et al., 2015), (HM et al., 2015), (Seung- et al., 2023), (Flores et al., 2025), (Lee et al., 2024) |
24 |
|
16. |
Socio-economic |
(Hanprasertpong & Hanprasertpong, 2015), (Mangla, 2022) |
2 |
|
17. |
Biomechanical |
(Tartaglia et al., 2025), (Francis et al., 2021) |
2 |
|
18. |
Organizational governance |
(van Beukering et al., 2022), (Xavier et al., 2019), (Pilarz & Pac, 2024), (Casas et al., 2015), (Hanprasertpong & Hanprasertpong, 2015), (Abderhalden-Zellweger et al., 2024), (Mangla, 2022) |
7 |
Table 2 shows that psychological exposure at work is the most reported issue among pregnant workers, followed by physical, chemical, and biological exposures. However, socio-economic and biomechanical exposures are the least explored topics in the literature, indicating significant opportunities for further research in these areas.
DISCUSSION
A summary of the evidence that is currently available regarding the connection between maternal occupational exposures and the risk of poor birth outcomes that may lead to stunting was the objective of this investigation. According to the findings, pregnant workers in a variety of industries are constantly exposed to several risks in the workplace. These risks are typically neglected by policies that concern to maternal health. The findings were referred to in the previous sentence. Occupational hazards that emerged from the literature are organized into nine thematic areas with the purpose of facilitating a more complete understanding. This is done to promote a more thorough understanding. The following are the categories that fall under this category: biological, physical, chemical, radiation, infectious, psychological, socio-economic, biomechanical, and organizational governance risks.
Biological Hazards
Cytomegalovirus (CMV), Rubella, Toxoplasma gondii, Hepatitis B and C, and HIV are all examples of infectious microorganisms that can be found in the workplace (Szczesna et al., 2019). Biological hazards in the workplace include exposure to these bacteria. It is very common for personnel in the healthcare industry, childcare, laboratories, and animal handling industries to suffer from these conditions. As a result of the possibility of vertical transmission, these infections present a considerable risk to pregnant workers. This risk can manifest itself in the form of fetal illness, miscarriage, stillbirth, or congenital abnormalities (Izadi et al., 2024; Szczesna et al., 2019). It has been demonstrated in several studies that early intrauterine infections can have a negative impact on the growth trajectory of the fetus, which in turn raises the probability of low birth weight and long-term stunting(Izadi et al., 2024; Szczesna et al., 2019).
The implementation of preventive measures, which include routine screening, immunization, and stringent hygiene regulations, is still lacking in many work contexts, even though these measures are needed (Izadi et al., 2024; Szczesna et al., 2019).
Physical Hazards
Standing for extended periods of time, lifting large objects, being exposed to high temperatures (Martiana et al., 2024), vibrations, high levels of occupational noise, high working workloads are all examples of physical risks (Francis et al., 2021; Rahman & Martiana, 2020; Sejbaek et al., 2025; Selander et al., 2019; Suzumori et al., 2020; Tartaglia et al., 2025). These pressures are frequently experienced by pregnant women who are employed in settings such as industries, retail, or healthcare facilities (Casas et al., 2015; Francis et al., 2021; Sejbaek et al., 2025; Suzumori et al., 2020; Tartaglia et al., 2025). Standing for extended periods of time and lifting heavy loads are linked to intrauterine growth restriction (IUGR) as well as preterm labour and miscarriage (Martiana et al., 2024; Sejbaek et al., 2025) In addition, there is a correlation between prolonged exposure to occupational noise that is higher than 85 decibels and the development of low birth weight and small-for-gestational-age (SGA) newborns (Selander et al., 2019). With these outcomes, there is a greater chance that a kid would experience stunting later in life. Particularly in low- to middle-income areas, where protective labor legislation is frequently inadequate, the absence of ergonomic adjustments and rest times further exacerbates these hazards. Rest periods and ergonomic modifications are both essential (Francis et al., 2021).
Chemical Hazards
There are a variety of unfavorable birth outcomes that have been linked to chemical exposure during pregnancy, particularly in places of employment such as agriculture, industry (Olirk et al., 2025), laboratories, and beauty salons (Norlén et al., 2019; Tyagi et al., 2023). Pesticides, solvents (such as toluene and benzene), heavy metals (such as lead and mercury), phthalates, and anesthetic gases are examples of substances that have the potential to interact with the endocrine system or cause teratogenic effects (Bengtsson et al., 2017; Birks et al., 2016; Gustavsson et al., 2025; Shirangi et al., 2020; Szczesna et al., 2019). They have the potential to hinder the function of the placenta or the growth of the cells in the fetus, which can result in a lower birth weight, premature birth, or problems in neurodevelopment (Birks et al., 2016; Izadi et al., 2024; Szczesna et al., 2019). Because of the process of bioaccumulation, chronic low-dose exposure can be especially hazardous (Norlén et al., 2019; Shirangi et al., 2020).
A pregnant worker who exposed by the air pollution is another example of chemical exposure (Bergstra et al., 2021; d’Errico et al., 2025). it has been reported that air pollution exposure during pregnancy to have negative effects on pregnancy outcomes. Like particulate matter (PM₂.₅ and PM₁₀), nitrogen oxides (NOₓ), Sulphur dioxide (SO₂), ozone (O₃), and volatile organic compounds (VOCs), their babies are more likely to affect low birth weight (LBW), preterm birth (PTB), and intrauterine growth restriction (IUGR) (Bergstra et al., 2021). Nevertheless, a significant number of employers do not provide enough safety training, protective equipment, or chemical exposure tracking for female employees, particularly during pregnancy (Birks et al., 2016). For example, pregnant women employed in the bidi sector are often risked to the hazards of chemical exposure during pregnancy. They frequently do it in poorly ventilated environments and without utilizing personal protective equipment. Nicotine, nitrosamines, and polycyclic aromatic hydrocarbons (PAHs) are hazardous molecules absorbed through the skin and lungs during continuous exposure (d’Errico et al., 2025; Norlén et al., 2019; Tyagi et al., 2023).
Radiation Hazards
Workers in the disciplines of radiology, nuclear medicine, industrial imaging, and telecommunications are exposed to both ionizing radiation (such as X-rays and radioactive isotopes) and non-ionizing radiation (such as microwaves and electromagnetic fields) in their line of work. Especially during organogenesis (weeks 2–8 of gestation), prenatal exposure to ionizing radiation has been related to congenital abnormalities, developmental delays, and fetal growth restriction. This is especially true during the beginning stages of pregnancy (Seung- et al., 2023; Xavier et al., 2019). Even though radiation exposure is subject to regulation, there is frequently a lack of compliance with rules regarding shielding and dose monitoring. Reassignment to low-exposure tasks is recommended for pregnant workers; however, this policy is rarely followed in a consistent manner across all institutions (Seung- et al., 2023; Xavier et al., 2019).
Infection Hazards
Pregnant workers face considerable dangers when they are exposed to infectious environments, such as those found in hospitals, childcare facilities, or veterinary clinics (Seung- et al., 2023; Xavier et al., 2019) is not uncommon to come across pathogens such as parvovirus B19, influenza, varicella, and group B streptococcus. These pathogens have the potential to cause difficulties such as miscarriage, neonatal infection, or premature birth. The natural growth trajectory of the fetus can be disrupted because of these consequences, which can also damage the nutritional health of the postnatal period. In environments where there is insufficient infection control, a lack of personal protective equipment, and no routine health surveillance for pregnant employees, the risk is significantly increased (Seung- et al., 2023; Xavier et al., 2019).
Psychological Hazards
It has been shown without a doubt that psychological stress at work might give the bad effect for maternal's health (Weis et al., 2020). These pressures might also include emotional labor, bullying at work, long working hour (Ali et al., 2020), precarity (Patil et al., 2020) and not having enough freedom (Corchero-Falcón et al., 2023; Weis et al., 2020) (Admas et al., 2025).
Additionally shift work, especially night shifts and rotating schedules, has been shown to be a major source of stress at work that could be bad for the health of both the mother and the fetus (Cai et al., 2019; Davari et al., 2018; Flores et al., 2025; Lee et al., 2024; Suzumori et al., 2020). Pregnant women who work shifts are more likely to have circadian rhythm problems, sleep problems, and longer recovery times, all of which can cause physiological stress (Ali et al., 2020). Studies have shown that these kinds of interruptions might affect the hormones that are essential for a healthy pregnancy, namely melatonin and cortisol (Cai et al., 2019; Flores et al., 2025; Lee et al., 2024). Several large cohort studies have found links between working shifts and a higher risk of preterm birth, low birth weight, and pregnancy-related high blood pressure (Cai et al., 2019; Davari et al., 2018; Flores et al., 2025; Lee et al., 2024; Suzumori et al., 2020). Night shifts have been associated to miscarriage and intrauterine growth restriction (IUGR) (M. V. et al., 2017). This is because the unsynchronized between biological clock and the placenta (Flores et al., 2025). Also, working odd hours can make it harder to eat properly, make it less likely to access prenatal care, and make a burnout at work, all of which could have an indirect effect on fetal development (M. V. et al., 2017). Being in these kinds of situations for a long time might raise the mother's cortisol levels, which could change how blood flows through the placenta and how nutrients get to the growing fetus (Flores et al., 2025; Wada et al., 2021)It is crucial to remember that anxiety disorders are very common in pregnant women who are in the military (Weis et al., 2020). This is because the stress of deployment, the responsibilities of duty, and the pressure of being in a hierarchy all add to the mental stress (Henrotin et al., 2017; HM et al., 2015; Weis et al., 2020) Mental health protections and stress-reduction programs for pregnant workers are still not widely used, even though there is evidence to support them. They are also rarely included in occupational health policies. This is especially true for people who work in jobs that are expossed by stress (Abderhalden-Zellweger et al., 2024; Admas et al., 2025).
Socio-economic Hazards
There is a substantial relationship between the socio-economic conditions of the workplace and the health of both mothers and children (Mangla, 2022). These conditions include low earnings, the absence of maternity benefits, insecure contracts, and informal employment status. Women who are pregnant and work in low-paying or informal sectors frequently put off or don't receive antenatal care, suffer from poor nutrition, and do not have access to postpartum support. Because of these limitations, the growth of the fetus may not be ideal, and the risk of stunting after delivery may be increased. The absence of paid maternity leave also forces women to return to work earlier than they would otherwise, which restricts breastfeeding patterns and the quality of childcare, both of which are key variables in preventing stunting in the first one thousand days of a child's life (Hanprasertpong & Hanprasertpong, 2015; Mangla, 2022).
Biomechanic Hazards
The terms "repetitive tasks," "awkward body postures," and "manual handling of loads" are all examples of biomechanical stress, which is widespread in contexts such as agriculture, construction, garment manufacturing, and factories (Francis et al., 2021; Tartaglia et al., 2025). Increasing the likelihood of uterine contractions, placental abruption, and mechanical strain on the abdomen, which could potentially result in premature birth or intrauterine growth restriction (IUGR), is the result of these physical demands (Francis et al., 2021; Tartaglia et al., 2025). Despite the existence of proof, pregnant women frequently do not have access to ergonomic adjustments in the job. A damaged fetal development, an inadequate birth weight, and restricted growth during infancy and early childhood are some of the long-term effects of this condition (Francis et al., 2021; Tartaglia et al., 2025).
Organizational Governance
It is important to note that workplace policies, maternity rights, and management's response to the requirements of pregnant employees are all included in organizational governance. Risk evaluations, duty changes, flexible scheduling, and maternity leave are all examples of supportive governance (Abderhalden-Zellweger et al., 2024; Zachek et al., 2019). On the other hand, a significant number of workplaces either do not have explicit policies or fail to effectively apply them (Pilarz & Pac, 2024). Women who are pregnant are forced to continue working in dangerous conditions without being provided with accommodations because of poor administration (Mangla, 2022; van Beukering et al., 2022). The necessity of structural adjustments to enhance maternal-child health in the workforce is highlighted by the fact that this systemic neglect contributes to hazards to foetal development that could have been avoided (Hanprasertpong & Hanprasertpong, 2015; Pilarz & Pac, 2024; van Beukering et al., 2022).
Policy Recommendation
Given these findings, it is imperative to translate evidence into actionable strategies that protect maternal and fetal health in the workplace. The following policy recommendations aim to address the identified gaps and promote safer working conditions for pregnant women across various occupational settings.
1. Improve Workplace Risk Assessments
Employers should be forced to undertake thorough antenatal risk assessments that cover psychological, chemical, socio-economic, and biomechanical exposures in addition to physical dangers. These assessments should go beyond the physical hazards that are present in the workplace.
2. Occupational Health standards Should be Expanded
It is important that national and sector-specific occupational health standards be updated so that they reflect the wider range of dangers that pregnant women encounter, particularly in employment sectors that are informal or pay low wages.
3. Occupational Hazards Screening
Screening for occupational exposures should be incorporated into maternal and child health services, and pregnant workers should be provided with specialized counselling and support. Occupational risk should be incorporated into maternal health programs.
4. Improve Research Funding and Innovation
The government and research institutions should priorities funding for studies on the impact of socio-economic stresses and biomechanical demands during pregnancy, particularly in low- and middle-income settings. This will help to promote research on hazards that have not yet been well investigated.
In the workplace, protective policies should be implemented. These policies should mandate duty modification, maternity leave protections, and flexible scheduling for pregnant workers who are exposed to high-risk situations, such as shift work, heavy lifting, or chemical exposure.
CONCLUSION
This review highlights a wide range of workplace hazards during pregnancy that affect birth outcomes such as preterm birth and low birth weight (stunting-risk baby). This study combines 40 eligible English language articles, then it classified an occupation exposure that affect birth outcome into nine main categories: biological, physical, chemical, radiation, infectious, psychological, socio-economic, biomechanics, and organizational governance. Even though there are a lot of evidence that pregnancy risks might appear because of occupational hazard exposure, occupational health and maternity protection legislation have not done enough effort to address them, especially in informal and low-resource workplaces. To lower health disparities and stunting between generations, we need better employment rights, better integration of maternity care, and more support for labor governance.
DECLARATION
Ethics approval: This study was approved by the Health Research Ethics Committee of Institute of Health Science Ganesha Husada Kediri. After undergoing various stages of ethical review, the study was deemed ethically feasible, as evidenced by the issuance of the Ethical Approval Letter No. 29/SGH.KEPK/IX/2024.
Consent for publication: the author of this research study has thoroughly evaluated and provided their consent for the publication of this manuscript. The individual expresses concurrence with the substance, analyses, and deductions posited in the scholarly article.
Availability of data and materials: For anyone interested in obtaining the data and materials, it is recommended to contact the corresponding author at astri.nurdiana@fikes.ac.id.
Competing interests: The authors affirm that they possess no conflicting interests pertaining to this scientific investigation or the dissemination of its findings.
Funding: This research did not get any financial assistance from any entity.
Authors' contributions: The author has made significant contributions to the research study; the author has thoroughly examined and endorsed the final iteration of this document.
Acknowledgements: The authors would like to extend the gratitude to Universitas Indonesia and Universitas Singaperbangsa Karawang for their support and collaboration in this research project.
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43. Szczesna, A., Grzelak, K., Bieniasz, M., Kacperczyk-Bartnik, J., Dobrowolska-Redo, A., Bartnik, P., Zareba-Szczudlik, J., & Romejko-Wolniewicz, E. (2019). Pregnant surgeon - assessment of potential harm to the woman and her unborn child. Ginekologia Polska, 90(8), 470–474. https://doi.org/10.5603/GP.2019.0081
44. Tartaglia, M., Costet, N., Audignon-Durand, S., Carles, C., Descatha, A., Falkstedt, D., Houot, M.-T., Kjellberg, K., Pilorget, C., Roeleveld, N., Siemiatycki, J., Turner, M. C., Turuban, M., Uuksulainen, S., Dufourg, M. N., Garlantézec, R., & Delva, F. (2025). Profiles of the maternal occupational exposome during pregnancy and associations with intrauterine growth: Analysis of the French Longitudinal Study of Children – ELFE study. Environmental Research, 267, 120669. https://doi.org/https://doi.org/10.1016/j.envres.2024.120669
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Supplementary Materials
Table 1. Risk of Bias Assessment for Literature Review Articles
|
No |
Author (Year) |
Clear Research Question |
Comprehensive Literature Search |
Duplicate Study Selection & Data Extraction |
Quality Assessment of Included Studies |
Consideration of Risk of Bias in Analysis |
Appropriate Methods for Combining Studies |
Overall Risk of Bias |
|
1. |
(Szczesna et al., 2019) |
Yes |
Yes |
No |
No |
No |
No |
High |
|
2. |
(Francis et al., 2021) |
Yes |
Yes |
Yes |
No |
No |
Yes |
Moderate |
|
3. |
(Admas et al., 2025) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
4. |
(Corchero-Falcón et al., 2023) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
5. |
(Flores et al., 2025) |
Yes |
No |
No |
Yes |
No |
Yes |
Moderate |
|
6. |
(Mangla, 2022) |
Yes |
No |
No |
No |
No |
No |
High |
|
7. |
(Pilarz & Pac, 2024) |
Yes |
No |
No |
No |
No |
No |
High |
Table 2. Risk of Bias Assessment for Meta Analysis Study
|
No |
Author (Year) |
Clear Research Question |
Comprehensive Literature Search |
Duplicate Study Selection & Data Extraction |
Quality Assessment of Included Studies |
Consideration of Risk of Bias in Analysis |
Appropriate Methods for Combining Studies |
Overall Risk of Bias |
|
1. |
(Tyagi et al., 2023) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
2. |
(Cai et al., 2019) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
Table 3. Risk of Bias Assessment for Retrospective Cohort Study
|
No |
Author (Year) |
Similar Groups at Baseline |
Exposure Measured Reliably |
Outcome Measured Reliably |
Confounding Factors Identified & Controlled |
Follow-up Complete |
Statistical Analysis Appropriate |
Overall Risk of Bias |
|
1. |
(Hanprasertpong & Hanprasertpong, 2015) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
2. |
(Sejbaek et al., 2025) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
3. |
(Davari et al., 2018) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
4. |
(Casas et al., 2015) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
5. |
(Birks et al., 2016) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
6. |
(Selander et al., 2019) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
7. |
(Patil et al., 2020) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
8. |
(Seung- et al., 2023) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
Table 4. Risk of Bias Assessment for Prospective Cohort Study
|
No |
Author (Year) |
Similar Groups at Baseline |
Exposure Measured Validly & Reliably |
Outcome Measured Objectively |
Confounders Identified & Adjusted |
Follow-up Adequate & Complete |
Timeframe Sufficient for Outcome |
Statistical Analysis Appropriate |
Overall Risk of Bias |
|
1. |
(Weis et al., 2020) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
2. |
(Shirangi et al., 2020) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
3. |
(Norlén et al., 2019) |
No |
No |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
4. |
(Suzumori et al., 2020) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
5. |
(Bengtsson et al., 2017) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
6. |
(Tartaglia et al., 2025) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
7. |
(van Beukering et al., 2022) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
8. |
(d’Errico et al., 2025) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
9. |
(Gustavsson et al., 2025) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
10. |
(Lee et al., 2024) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
Table 5. Risk of Bias Assessment for Case Control Study
|
No |
Author (Year) |
Clear Definition of Cases |
Selection of Controls Appropriate |
Exposure Measurement Valid & Reliable |
Same Method for Cases and Controls |
Confounders Identified & Controlled |
Non-Response Bias Addressed |
Statistical Analysis Appropriate |
Overall Risk of Bias |
|
1. |
(Martiana et al., 2024) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
Table 6. Risk of Bias Assessment for Cross Sectional Study
|
NO |
Author (Year) |
Clear Inclusion Criteria |
Study Subjects & Setting Described |
Exposure Measured Validly & Reliably |
Outcome Measured Validly & Reliably |
Confounders Identified |
Strategies to Deal with Confounders |
Statistical Analysis Appropriate |
Overall Risk of Bias |
|
1. |
(Bergstra et al., 2021) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
2. |
(Wada et al., 2021) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
3. |
(Ali et al., 2020) |
Yes |
Yes |
Yes |
Yes |
No |
No |
Yes |
Moderate |
|
4. |
(Xavier et al., 2019) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
5. |
(Rahman & Martiana, 2020) |
Yes |
Yes |
Yes |
Yes |
Yes |
No |
Yes |
Low |
|
6. |
(Zachek et al., 2019) |
Yes |
Yes |
Yes |
Yes |
No |
No |
Yes |
Low |
|
7. |
(Olirk et al., 2025) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
8. |
(Henrotin et al., 2017) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
9. |
(Izadi et al., 2024) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
10. |
(M. V. et al., 2017) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
|
11. |
(HM et al., 2015) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |
Table 7. Risk of Bias Assessment for Descriptive Study
|
No |
Author (Year) |
Clear Inclusion Criteria |
Sampling Method Appropriate |
Sample Size Adequate |
Study Subjects & Setting Described |
Data Collection Reliable |
Measurement Validated |
Response Rate Adequate |
Overall Risk of Bias |
|
1. |
(Abderhalden-Zellweger et al., 2024) |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Yes |
Low |