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. 2024 Mar 18;19(3):e0295788. doi: 10.1371/journal.pone.0295788

Exploring drivers of unsafe disposal of child stool in India using hierarchical regression model

Margubur Rahaman 1,*, Avijit Roy 2, Pradip Chouhan 3,*, Md Juel Rana 4
Editor: Pintu Paul5
PMCID: PMC10947681  PMID: 38498574

Abstract

Background

Disposal of children’s stools is often neglected in Indian sanitation programs, putting them at higher risk of diseases transmitted through the fecal-oral route. Therefore, the current study aims to identify the socioeconomic and demographic factors associated with the unsafe disposal of child stool in India and to estimate the geographical variation in unsafe disposal.

Methods

The study used 78,074 births under two years from the fifth round of the National Family Health Survey (2019–21). Descriptive statistics, bivariate analysis with the chi-square test, and a four-level hierarchical logistic regression model were applied to accomplish the study objectives.

Results

Findings revealed a 61.3% prevalence of unsafe stool disposal nationwide, significantly varying between rural (45%) and urban (67%) areas. Multilevel logistic regression highlighted that mother’s education, wealth quintile, and sanitation facility were significant predictors of unsafe disposal of child stools. Random intercept statistics revealed a substantial geographical unit-level variance in unsafe stool practice in India.

Conclusion

The study emphasizes the widespread unsafe disposal of child stool among Indian mothers with young children below two years, and the study underscores a range of contributing factors, including education, media exposure, prosperity, water availability, and sanitation. It also accentuates the significance of the geographical variance in the unsafe disposal of child stool in India, particularly at the household level, followed by the community level. Hence, the findings underscore the importance of focused interventions, including targeted household-level poverty alleviation programs, initiatives to enhance sanitation and water facilities, and community-level public health awareness programs.

Introduction

Unsafe disposal of stool in open fields, waste receptacles, drainage systems, or through burial in soil poses notable health risks because children who come into contact with such waste are susceptible to it [1]. This unsafe disposal practice increases the risk of various diseases propagated through fecal-oral transmission [2]. The mismanagement in the disposal of child stool escalates the propensity for diarrheal infections by 23% in Kenya and 6% in India [3,4]. Similarly, unsafe disposal of child stool leads to a 35% elevation in helminth infections in Bangladesh [5]. Unsafe disposal of child stool also contributes to the proliferation of waterborne diseases [6]. Beyond its immediate adverse effects, the unsafe disposal of stool from young children amplifies the potential for long-term undernutrition, particularly stunting [7]. In parallel, inadequate management of child stool heightens the likelihood of enduring cognitive impairment among this demographic group in their later lives [8]. Therefore, proper stool management is crucial to minimizing short- and long-term health risks among children [69].

Previous studies predicted that good management of stool disposal can improve health outcomes significantly. Enhancing the water supply, promoting hygienic practices, and properly managing child stool might mitigate approximately 361,000 annual under-five deaths [9]. Promoting proper disposal practices for child stool could help alleviate the burden of diarrheal infections, stunting, and other health challenges among children in India [3,7,10]. Hence, dedicated research focusing on the proper management of child stool becomes imperative in the present era of Sustainable Development Goals (SDG). The SDG-6 aims to ensure access to water and sanitation for all.

Recent research reveals that over half of households with young children followed unsafe disposal of stool in lower- and middle-income countries (LMICs) [11,12]. Among LMICs, India stands as an illustrative example where safe disposal of child stool and the use of child-friendly latrines remains uncommon, despite notable strides in overall sanitation progress [13]. In particular, only 36% of Indian households with young children adhere to safe disposal practices of child stool, encompassing the appropriate use of a latrine for their child waste [14]. While India may be approaching victory in its fight against unimproved sanitation practices [10], the endeavor to establish effective stool disposal management is proving to be a cautious progression.

Numerous studies have delved into the spatial disparities in the unsafe disposal of child stool, identifying factors influencing this issue and outlining its multifaceted negative impact on children’s health and well-being [1,8,9,12,13,15]. These investigations primarily centered on sub-Saharan African countries, Cambodia, and Bangladesh, using the data from the Demographic Health Survey (DHS) [1215]. Research has underscored the significance of factors such as caregiver’s educational level, religious affiliation, exposure to mass media, household wealth quintile, place of residence, household sanitation facilities and practices, and regional disparities as pivotal in influencing unsafe disposal of child stool [1113,16]. Few studies have also illuminated the qualitative dimensions, including behaviors, attitudes, and awareness, as key determinants of child stool disposal management [16]. However, investigations focused on disposal practices of child stool in the Indian context are limited [1,11,17,18], particularly employing recent large-scale sample surveys. Many studies addressing these issues have often relied on small-area primary surveys [1,17,18], failing to present a comprehensive overview of disposal practices of child stool in India. Hence, the present study aims to understand the stool disposal practices in India. Specifically, it seeks to address several critical questions. Firstly, does the prevalence of unsafe disposal of child stool vary by the socioeconomic and demographic characteristics of mothers and households in India? Secondly, what are the significant determinants of unsafe disposal practices for child stool in India, and how do these determinants vary across different geographical levels (state, district, and cluster) in India? The current study employs comprehensive, robust statistical methods to answer the above research questions. Proportional distribution of unsafe disposal of child stool with a 95% confidence interval and standard errors [10] and multilevel logistic regression models [15,19,20] were applied to produce the results. The findings from the study will be valuable resources for policymakers, providing insights into the safe disposal of child stool in India and facilitating evidence-based policy formulation.

Methods

Data source and participants

In NFHS-5 (2019–21), a total of 653,144 occupied households were selected for the sample, of which 636,699 were successfully interviewed, with a 98% response rate [14]. A total of 747,176 eligible women between the ages of 15 and 49 years were identified in the interviewed households, and 724,115 of them were successfully interviewed with a 97% response rate. Overall, 111,179 eligible men aged 15–54 in households were selected for the state module, of which 101,839 men interviews were completed with a 92% response rate.

Study sample

The present study only includes 78,074 recent birth children below 2 years. A detailed description of the sample selection procedure is presented in Fig 1. The study includes children aged 2 and below since they depend entirely on their caregivers [1214]. The latest NFHS report has also estimated the prevalence of unsafe stools using a sample of mothers with children aged 2 and below [14]. Therefore, the study followed NFHS sample selection approaches to maintain consistency with the national report.

Fig 1. Schematic diagram of the sample selection from the surveyed population.

Fig 1

Ethical statement

The NFHS-5 received ethical approval from the ethics review board of the IIPS in Mumbai, India. Additionally, the ICF International Review Board (IRB) reviewed and approved the surveys. Prior to participating in the survey, informed written consent was obtained from all respondents. Each individual’s approval was obtained before conducting the interview.

Outcome variable

The outcome variable was the disposal of the child’s stool. This variable exhibits a dichotomous nature, with two distinct categories: safe disposal (coded as 0) and unsafe disposal (coded as 1). Safe disposal is characterized by appropriate management of child stool. This encompasses situations where mothers use designated toilets or latrines for stool disposal. Furthermore, fecal matter is considered appropriately handled if it is placed or rinsed into a toilet or latrine or if it is properly buried. These practices collectively define safe disposal methods [14]. Conversely, unsafe disposal of child school encompasses leaving stool in open areas, discarding it in garbage bins, rinsing it into drains, or other divergent methods. These classifications align with India’s latest Demographic and Health Survey report (2022) by the International Institute for Population Sciences and ICF [14].

Explanatory variables

The present study consisted of a set of predictors based on existing studies in different settings [11,12], including the women’s age (15–19 years, 20–24 years, 25–29 years, ≥30 years), women’s education (no education, primary, secondary, higher), religious affiliation (Hindu, Muslim, Christian, others), social groups (general [GEN], scheduled caste [SC], scheduled tribe [ST], other backward class [OBC]), place of residence (urban, rural), household wealth quintiles (poorest, poorer, middle, richer, richest), mass media exposure (no, partial, high), drinking water facility at premises (yes, no), sanitation facility (improved, unimproved, open defecation/no facility), geographical location (north, central, east, northeast, west, south). A detailed description of predictor variables is given in S1 Table.

Statistical methods

Descriptive statistics were estimated in the study to describe the characteristics of the study sample. Additionally, a bivariate analysis was conducted to investigate the distribution of unsafe disposal of child stool by the selected predictors. Pearson’s chi-square was used to determine the significance level of the association and degree of independence. Notably, the NFHS dataset has a hierarchical structure with households (HH), primary sampling units (PSU), and districts. Therefore, a multilevel logistic regression analysis was employed to consider the hierarchical data structure to identify potential risk factors and estimate the impact of selected analytical levels on the unsafe disposal of child stool. A four-level random intercept logistic regression model was used for the current investigation [15,19,20]. The Four-level random-intercept logistic model has been selected for the likelihood of a child under two years (i) in the HH j, PSU k, and district l being unsafe disposal of child stool (Ƴijkl = 1).

logit(πijlk)=βo+BXijkl+(f0k+m0jk+p0jkl+s0ijkl)

This model calculates the log odds of πijlk adjusted for the vector Xial of predictor variables assessed at the individual level. The parameter βo indicates the reference category of all variables with log odds of the unsafe disposal of child stool. The random effect within the parentheses is measured as a residual differential for the district l (f0l), PSU k (m0kl), HH j (p0jkl), and individual i (s0ijlk) considered to be independent and normally distributed with mean 0 and variance σf02,σm02,σp02, and σs02, respectively. The variances were quantified between districts, PSU, and household variations. The results of multilevel logistic regression are presented in terms of adjusted odds ratios (AORs) [21,22]. All statistical analyses were performed on Stata 12 SE (Stata Corporation, College Station, Texas, USA).

Results

Background characteristics of the sample

Table 1 presents the background characteristics of the study sample. The majority of the mothers were between 20 and 29 years old. Nearly 20% of mothers had no formal education. A substantial number of respondents were Hindu (79%) and belonged to other backward classes (43%) in India. The percentage of respondents decreased from the bottom to upper wealth quintile. Only 6.6% of women had full exposure to the mass media, compared to almost one-third of women (28.4%) who had no exposure. Almost 30% of households had no water facility on the premises. Open defecation practice was considerable among the study population (23.4%). Around 74% of the population resided in rural areas and from the central region (28%).

Table 1. Background characteristics of the study population in India, NFHS-5 (2019–21).

Background characteristics N % 95% CI
Mother’s age (years)
15–19 4,014 5.1 5.0–5.3
20–24 29,932 38.3 38.0–38.7
25–29 28,492 36.5 36.2–36.8
≥30 15,636 20.0 19.7–20.3
Mother’s education
No education 14,888 19.1 18.8–19.3
Primary 8,771 11.2 11.0–11.5
Secondary 40,904 52.4 52.0–52.7
Higher 13,511 17.3 17.0–17.6
Religion
Hindu 61,789 79.1 78.9–79.4
Muslim 12,862 16.5 16.2–16.7
Christian 1,634 2.1 2.0–2.2
Others 1,790 2.3 2.2–2.4
Social group
GEN 13,762 17.6 17.4–17.9
SC 17,950 23.0 22.7–23.3
ST 8,226 10.5 10.3–10.8
OBC 33,755 43.2 42.9–43.6
Don’t know 4,382 5.6 5.5–5.8
Wealth quintile
Poorest 18,578 23.8 23.5–24.1
Poorer 16,583 21.2 21.0–21.5
Middle 15,458 19.8 19.5–20.1
Richer 14,634 18.7 18.5–19.0
Richest 12,822 16.4 16.2–16.7
Mass media exposure
No 22,208 28.4 28.1–28.8
Partial 50,719 65.0 64.6–65.3
High 5,147 6.6 6.4–6.8
Water facility on premises
Yes 56,814 72.8 95.5–95.8
No 21,261 27.2 26.9–27.5
Sanitation facility
Improved 57,580 74.3 74.0–74.6
Unimproved 1,804 2.3 2.2–2.4
Open defecation 18,130 23.4 23.1–23.7
Place of residence
Urban 20,562 26.3 26.0–26.6
Rural 57,512 73.7 73.4–74.0
Region
North 10,443 13.4 13.1–13.6
Central 21,648 27.7 27.4–28.0
East 20,422 26.2 25.8–26.5
Northeast 2,973 3.8 3.7–3.9
West 9,702 12.4 12.2–12.7
South 12,886 16.5 16.2–16.8

Note: All samples and percentages are weighted; CI: Confidence interval.

Geographical variation in prevalence of unsafe disposal of child stool

In India, the prevalence of unsafe disposal of child stool was found to be 61.3% (Fig 2). Unsafe disposal of child stool varied across the states in India, was considerably higher in Orissa (87%), Jharkhand (80%), Assam (80%) and lower in Kerala (17%), Sikkim (20%).

Fig 2. State-wise variation of unsafe disposal of child stool in India, NFHS-5 (2019–21).

Fig 2

Subsequently, unsafe disposal of child stool also varied across the districts in India (Fig 3). It is observed that unsafe disposal of child stool is more than the national average in the eastern part of India. Moreover, it is also found to be higher in several patches of Assam, Madhya Pradesh, Andhra Pradesh and Tamil Nadu.

Fig 3. District-wise prevalence of unsafe disposal of child stool in India, NFHS-5 (2019–21).

Fig 3

Table 2 presents the prevalence of unsafe disposal of child stool by socioeconomic and demographic characteristics in India. Mothers aged 15–19 (70%) and no educated mothers (75%) practiced unsafe stool disposal more than their counterparts. The prevalence of unsafe disposal of child stool was considerably higher among Hindu followers (63.2%) and those belonging to scheduled tribes (75%) across the country. The incidence of unsafe disposal of child stool was more than two-fold higher among the poorest than the richest counterparts (82.6% vs. 34.2%) in India. The prevalence of unsafe disposal of child stool was higher among mothers who had no exposure to mass media (74.6%), households with no water facility at premises (70.6%), and unimproved sanitation facilities (70%) as compared to their counterparts, respectively. The geographical pattern showed that the rural-urban gap in the prevalence of unsafe disposal of child stool was the highest in rural (67%) and the east region (72%).

Table 2. Prevalence of unsafe disposal of child stool by selected background characteristics of the study population in India, NFHS-5 (2019–21).

Background characteristics Unsafe stool disposal (%) 95% CI χ2 (p-value)
Mother’s age (years)
388.1324 (<0.001)
15–19 69.9 68.5–71.4
20–24 64.1 63.5–64.6
25–29 59 58.5–59.6
≥30 58 57.3–58.8
Mother’s education
2.8e+03 (<0.001)
No education 75.4 74.7–76.1
Primary 69.3 68.3–70.2
Secondary 59.8 59.3–60.3
Higher 45.3 44.4–46.1
Religion
672.3232 (<0.001)
Hindu 63.2 62.8–63.5
Muslim 55.3 54.4–56.2
Christian 59.1 56.7–61.4
Others 43.5 41.2–45.8
Social group
1.3e+03 (<0.001)
GEN 49.4 48.6–50.2
SC 65.5 64.8–66.2
ST 75 74.1–76.0
OBC 61.5 60.9–62.0
Don’t know 55.2 53.7–56.6
Wealth quintile
8.5e+03 (<0.001)
Poorest 82.6 82.0–83.1
Poorer 71.4 70.7–72.1
Middle 60.8 60.0–61.6
Richer 47.3 46.5–48.1
Richest 34.2 33.4–35.0
Mass media exposure
2.2e+03 (<0.001)
No 74.6 74.1–75.2
Partial 57 56.6–57.5
High 46.4 45.0–47.7
Water facility on premises
225.2120 (<0.001)
Yes 57.9 57.4–58.2
No 70.6 70.0–71.2
Sanitation facility
5.5e+03 (<0.001)
Improved 53.3 52.9–53.7
Unimproved 66.9 64.7–69.1
Open defecation 86 85.5–86.5
Place of residence
2.4e+03 (<0.001)
Urban 44.7 44.0–45.3
Rural 67.3 66.9–67.7
Region
3.6e+03 (<0.001)
North 47.7 46.7–48.6
Central 64.7 64.0–65.3
East 72.3 71.7–72.9
Northeast 71.8 70.2–73.4
West 50.9 49.9–51.9
South 54.9 54.0–55.8

Note-All percentages are weighted; CI: Confidence interval.

Results from multilevel regression analyses

The results of the multilevel regression analysis are presented in Table 3, which highlights the influence of random-effect factors. In the final model, the intra-class correlation coefficient (ICC) demonstrated that household differences account for 73.1% of the overall variability in the unsafe disposal of child stool, followed by PSUs (39.9%) and districts (11.2%). The log-likelihood ratio test (LR) and logistic regression have a p-value of all <0.001 in the random effect section.

Table 3. Adjusted odds ratio (AOR) and random intercept statistics of unsafe disposal of child stool by background characteristics of the study population in India, NFHS-5 (2019–21).

Background characteristics AOR 95% CI
Mother’s age (years)
15–19® 1.00
20–24 0.79** 0.67–0.92
25–29 0.67*** 0.57–0.78
≥30 0.63*** 0.54–0.74
Mother’s education
No education® 1.00
Primary 0.97 0.86–1.09
Secondary 0.77*** 0.69–0.85
Higher 0.60*** 0.53–0.69
Religion
Hindu® 1.00
Muslim 0.80*** 0.71–0.90
Christian 0.82 0.65–1.02
Others 0.72** 0.59–0.89
Social group
GEN® 1.00
SC 1.13** 1.03–1.17
ST 1.21** 1.06–1.38
OBC 0.96 0.87–1.05
Don’t know 0.86 0.72–1.02
Wealth quintile
Poorest® 1.00
Poorer 0.64*** 0.58–0.71
Middle 0.41*** 0.36–0.47
Richer 0.23*** 0.20–0.27
Richest 0.13*** 0.11–0.16
Mass media exposure
No® 1.00
Partial 0.92* 0.84–1.00
High 0.69*** 0.60–0.80
Water facility on premises
Yes® 1.00
No 1.30*** 1.19–1.41
Sanitation facility
Improved® 1.00
Unimproved 1.16* 0.98–1.37
Open defecation 4.74*** 4.10–5.48
Place of residence
Urban® 1.00
Rural 1.20*** 1.15–1.26
Region
North® 1.00
Central 2.92*** 2.14–3.97
East 5.93*** 4.19–8.40
Northeast 2.20*** 1.55–3.12
West 1.29 0.89–1.86
South 2.06*** 1.50–2.84
Constant 4.23*** 3.11–5.77
Random intercept parameter
Var (district) 1.36 1.13–1.65
Var (PSU) 3.52 3.03–4.08
Var (HHs) 4.06 3.20–5.14
ICC (district) (%) 11.2
ICC (PSU) (%) 39.9
ICC (HHs) (%) 73.1
Model fit statistics
Wald test χ2 699.57***
LR test vs. logistic regression <0.001

Note- ® = Reference category, Significance level at

***≤0.001

**≤0.01

*≤0.05

AOR = Adjusted odds ratio, CI = Confidence interval.

With increasing mothers’ ages, the probability of unsafe disposal of child stool decreased in India. Similarly, higher educated mothers (AOR: 0.60; 95% CI: 0.53–0.69) have less likelihood of unsafe disposal of child stool than no educated mothers. Subsequently, the probability of unsafe disposal of child stool was significantly higher among scheduled tribes (AOR: 1.21; 95% CI: 1.06–1.38) than all social groups. The probability of unsafe disposal was significantly decreased from the poorest to the richest wealth quintile. Those with higher exposure to media had a lower likelihood of unsafe disposal of child stool (AOR: 0.69; 95% CI: 0.60–0.80). Other sanitation-related factors such as no water facility at household premises (AOR: 1.30; 95% CI: 1.19–1.41) and unimproved sanitation facilities (AOR: 1.16; 95% CI: 0.98–1.1.37) at households had higher odds of unsafe disposal of child stool across the country. The likelihood of unsafe disposal of child stool was 20% more likely in rural areas than in urban settings. Geographical patterns demonstrated that the likelihood of unsafe disposal of child stool was significantly higher in the eastern region (AOR: 5.93; 95% CI: 4.19–8.40) than in all regions.

Discussion

In India, significant progress has been observed in enhancing sanitation practices among adults over the past decade [10]. However, the progress and predictors of unsafe disposal of child stool have been limited in the Indian context. Despite the evidence highlighting the negative impact of the unsafe disposal of child stool on child health in India [3], nuanced socio-cultural and geographical factors remain unexplored using the latest nationally representative dataset [1,17,18]. This study addresses this research gap, comprehensively examining the unsafe disposal of child stool among mothers of children under two years. In particular, the study investigates the level, patterns, and determinants of unsafe disposal of child stool in India by highlighting geographical unit-level variation.

The present study found that a majority of mothers with children under two years practice unsafe disposal of child stool (61%) in India. This prevalence remains lower than Angola (68%), Benin (66%), and rural Bangladesh (81%) [15,23,24] but it is higher than in Burundi (33%), Cameroon (27%), Malawi (15%), Mali (36%), Rwanda (14%), Uganda (20%), Zambia (22%), and Zimbabwe (14%) [15]. A significant variation in unsafe disposal of child stool exists at different geographical levels in India, such as state level (Fig 2), district level (Fig 3), community level (PSU), and household level (Table 3). The variations observed in different sampling units can be attributed to the diverse socioeconomic, cultural, and household-level infrastructure influencing unsafe disposal practices in each unit. The findings from the multilevel logistic regression model show that the predictors such as mother’s age, education, mass media exposure, religion, social group, wealth quintiles, water connectivity, and improved sanitation facility at household, residence, and region are significantly associated with the unsafe disposal of child stool. These results align with micro-level studies in India [1,17,18] and large-scale studies conducted in Bangladesh and sub-Saharan Africa [1113,15,23].

Unsafe disposal of child stool was significantly linked to the mother’s age. Among the mothers aged 15–19 years, the likelihood of unsafe disposal of child stool is higher than in the higher age groups. Mothers with early marriage and early childbearing, particularly teenagers, have lower levels of education and limited resources in the household. These perhaps resulted in lower awareness of safe disposal practices of child stool and a lack of resources to manage the safe disposal practices [10]. Interestingly, this trend aligns with Sub-Saharan Africa [15] but contradicts Nigerian [24] and Gambian studies [25], likely due to socio-cultural and sociodemographic variations across countries, which significantly shape stool disposal dynamics and observed differences [25].

Aligning with prior studies [15,18], the current study found that maternal education and mass media exposure are negatively associated with the unsafe disposal of child stool in India. The prior study suggests that mothers with a higher level of education and a greater level of mass media exposure are more aware of the associated risks of unsafe disposal of child stool, adopting safer practices and healthier lifestyles [15,18]. Moreover, the mothers who had access to the media may have heard essential health information regarding the proper disposal of child waste and its effects on the child’s health and the community. As a result, these mothers may have developed a positive attitude towards the significance of safe disposal practices of child stool and a better understanding of safe child waste disposal.

Consistent with earlier studies in India and elsewhere [1,17,18,26], the findings from this study affirm that improving household wealth parallels a decline in unsafe disposal of child stool. A higher household wealth facilitates mothers’ better living conditions, including upgraded sanitation facilities. This transformation cultivates healthier habits, curbs unsafe disposal practices, and nurtures hygiene practices [26]. Similar to previous studies [1,25,26], water and improved sanitation facilities appeared as pivotal household factors influencing disposal practices of child stool. The current study explored that households lacking water facilities, especially in rural India, are prone to unsafe disposal. Similarly, unimproved sanitation and open defecation are positively linked with unsafe disposal of child stool. Prior research highlighted the significant role of water connectivity and improved sanitation facilities at the house for adult hygiene in India [10]; the current study also expands its significance for the safe disposal of child stool.

The rural-urban divide in unsafe disposal of child stool exists in India. To bridge this gap between rural and urban areas, the current study highlights that there is a need to refocus on ongoing interventions like Swachh Bharat Abhiyan for improved sanitation, Saakshar Bharat Abhiyan for female literacy promotion, and Jal Jeevan Mission for expansion of piped water access in rural India. The current study also recommends further study to examine the factors contributing to the rural-urban divide in unsafe disposal of child stool in India.

The current study findings suggest that micro-level variance in the unsafe disposal of children’s stool was higher than at the macro level (Table 3). In the overall variance, HH explained 73% of the variance in unsafe disposal, followed by PSU at 40% in India. Given the substantial influence of households on the overall variance, programmatic interventions at the household level need to be prioritized. While household-level factors played a crucial role in the geographical variance of unsafe disposal of children’s stool, community-level factors also significantly contributed to this. Therefore, the findings underscore the importance of community engagement in promoting the safe disposal of child stool.

Strengths

This study boasts several noteworthy strengths. Foremost, it is a pioneering effort to contextualize the unsafe disposal of child stool in India through a sophisticated multilevel analysis. By delving into different geographical levels, the study provides a comprehensive grasp of the prevalence and predictors of unsafe disposal practices in India. Furthermore, the study leverages the extensive reach of the latest NFHS data (2019–21), both in characteristics of a sizable sample and national representative nature. Rigorous statistical techniques, including sample weighting to counterbalance non-proportional sample allocation, contribute to bolstering the study’s statistical robustness, thereby enhancing its validity.

Limitations

Notwithstanding its strengths, this study has certain limitations that warrant consideration. Being a cross-sectional study, establishing a causal relationship between outcome and independent variables remains challenging. Moreover, certain pertinent variables, such as the level of knowledge concerning the disposal practices of child stool, were absent from the NFHS dataset, a potentially confounding factor of the analysis. The reliance on self-reported data introduces the possibility of both social desirability bias and recall bias, compromising the absolute accuracy of the findings. It is important to note that the study’s depiction of prevalence and predictors is anchored in the present moment, inadvertently neglecting the potential evolution of practices over time. Lastly, owing to constraints imposed by data availability and the inherent nature of cross-sectional studies, specific qualitative nuances such as cultural norms, habits, and beliefs [27] that could intricately influence results were not captured.

Conclusion

In summary, this comprehensive study casts a spotlight on the persisting issue of unsafe disposal of child stool among mothers with children under two years old in India. Despite notable strides in public health development, a crucial gap remains in addressing this vital aspect of child hygiene. The investigation unravels an intricate interplay of socio-cultural, geographical, and household factors that shape these unsafe disposal practices. Maternal education, exposure to mass media, household prosperity, water accessibility, and improved sanitation facilities emerge as pivotal determinants. Moreover, the rural-urban divide in predictors of unsafe disposal of child stool is considerable in India. HH-level variance in the unsafe disposal of children’s stool was significant. Therefore, the findings emphasize the need for targeted interventions, such as target-based poverty alleviation programs, improved sanitation and water facilities initiatives, and community-level public health awareness programs. To ensure the holistic well-being of young children, these insights call for a concerted effort to bridge existing gaps and enhance child hygiene practices across diverse contexts in India.

Supporting information

S1 Table. Operational description of the predictor variables.

(DOCX)

pone.0295788.s001.docx (16KB, docx)

Data Availability

The data for this study was sourced from the fifth round of the National Family Health Survey (NFHS-5), which is publicly available based on research proposal and filling out mandatory registration form, creating user account and receiving data use approval letter through the Demographic and Health Survey DHS website. The present study was obtained data for specific research purposes only, with authorization from DHS (accession numbers: 184169). In particular, to access the present study data, users need to register for an account on the DHS website. Once registered, users can conveniently download the dataset for analysis. To access the dataset, users can follow these steps: Register for a user account at https://dhsprogram.com/data/new-user-registration.cfm, Visit the data catalogue at https://dhsprogram.com/Data/, select the available dataset at https://dhsprogram.com/data/available-datasets.cfm, Choose the country "India" under the available datasets, navigate to the dataset titled "India: Standard DHS, 2019-21" under weblink https://dhsprogram.com/data/dataset/India_Standard-DHS_2020.cfm?flag=1, select the file IABR7EDT.ZIP for download. Comprehensive instructions for accessing the DHS data are provided on the DHS website for easy reference at https://dhsprogram.com/data/Access-Instructions.cfm.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Pintu Paul

8 Nov 2023

PONE-D-23-28796Exploring drivers of unsafe young children's stool disposal practices in India using hierarchical regression model and Fairlie decomposition analysisPLOS ONE

Dear Dr. Rahaman,

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Reviewer #2: Yes

**********

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Reviewer #2: Yes

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Reviewer #1: I read with interest the manuscript in which they exploring drivers of unsafe young children's stool disposal practices in India using hierarchical regression model and Fairlie decomposition analysis.

Minor comments:

• The introduction is far too long.

• In the Introduction section, author/authors are written “proper stool management is crucial to decrease short- and long-term health risks among children under five”. But why only includes recent birth children between the ages of under 2 years?

• Write more about water facility at premises in the Explanatory variables section.

• Please provide the more details of Model validation.

• Write more about why author excluded not dejure households from study population.

• The data interpretation is well presented, the statistical significance of obtained data is little needed to improve.

• In heading of the column in Table 3 author have written Rural, Urban, again, Urban. I think, this will be India.

• The comparison of data obtained in the present study to published data should be added along with a clear description of what new the present study adds to the current knowledge, a more detailed exposition of the points for a deeper understanding would be desirable.

Reviewer #2: Thank you for providing me the opportunity to review this paper. The authors' manuscript is well-written, and the statistical application is also good. There were some minor issues regarding the writing; therefore, I recommend it for publication with minor revisions. The suggestions are as follows:

1. In abstract result section please replace wording “primarily attributed” to “contributing significant were”. Similarly, please replace “as influential in this practice” to “were significant predictors” for readers’ clarity.

2. In introduction section, please replace “conspicuous divide” to “regional divide”.

3. Please add predictors of unsafe young children’s stool disposal practices in the sentence – “Therefore, a study is relevant to contextualize the disposal practice of child stools in India”.

4. I suggest authors to rewrite this sentence and replace “children utlize” to “mother utilize”- This encompasses situations where children utilize designated toilets or latrines for stool disposal.

5. As the research on children stool management, so better to use mother’s age, education throughout the manuscript instead of women age or education and others to mother’s age, education.

6. Please add abbreviation of CI below the table 1.

7. I suggest authors to add a figure- prevalence of unsafe stool disposal by place of residence and national average in India.

8. In table 5 please maintain only point two-digit reporting.

9. However, a gap persists in understanding unsafe stool disposal practices among young children. - Please add “a research gap” instead of” gap” in this sentence.

10. Authors used the wording “household wealth”, please write wealth quintile.

11. Major findings-based policy suggestions missing in the discussion section. I suggest authors to add your major finding-based policy implications.

12. Please rewrite this sentence- Utilizing secondary data from the fifth round of the National Family Health Survey (2019- 21), the study examined 78,074 births under two years.

13. I found some minor grammatical errors and inconsistency of wording, so please correct it carefully.

14. The title says “Exploring drivers of unsafe young children's stool disposal practices in India using hierarchical regression model and Fairlie decomposition analysis”. From the title it is not clear which gap you want to decompose using Fairlie decomposition.

15. In abstract it is written “The study aimed to identify the factors behind this unsafe practice in India.” But the study also decomposes the rural urban gap in child stool disposal. Please mention it accordingly.

16. Abstract: “Fairlie decomposition indicated a 21% rural-urban disparity”. Fairlie decomposition decomposes the gap or inequality; it does not 'indicate' the inequality. So please rectify the sentence. Please mention how much rural-urban gap is explained or decomposed using Fairlie decomposition.

17. Please shorten the section “Sampling technique”. Citing the NFHS-5 report would also do the job. No need to discuss NFHS-5 sampling technique in such details.

18. Authors mentioned “The chi-square statistic was used to assess the significance of the selected predictors and outcome variables”. However I couldn’t find out the Chi-squared results.

**********

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Reviewer #1: Yes: Jay Saha

Reviewer #2: No

**********

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PLoS One. 2024 Mar 18;19(3):e0295788. doi: 10.1371/journal.pone.0295788.r002

Author response to Decision Letter 0


26 Nov 2023

Dear Editor,

We are resubmitting our revised paper to Plos One titled “Exploring drivers of unsafe disposal of child stool in India using hierarchical regression model” the original title is “Exploring drivers of unsafe young children's stool disposal practices in India using hierarchical regression model and Fairlie decomposition analysis”. We would like to express our sincere gratitude for your careful review of our manuscript. We have made revisions to our paper again after paying close attention to the comments and suggestions by the reviewers. Your insightful queries and valuable comments have greatly contributed to improving the scientific rigor and clarity of our study, and have helped us to enhance the quality of our manuscript.

Please find our manuscript enclosed, which has been thoroughly revised in response to your comments and suggestions. Below is a detailed point-by-point response to the reviewers’ comments.

Reviewer #1:

I read with interest the manuscript in which they exploring drivers of unsafe young children's stool disposal practices in India using hierarchical regression model and Fairlie decomposition analysis.

Minor comments:

• The introduction is far too long.

Response: Thank you for your observation. We tried to capture comprehensive scenario of unsafe child stool practice globally. Therefore, the background of the study is long as you mentioned. We hope it will help to the readers for clear understanding.

• In the Introduction section, author/authors are written “proper stool management is crucial to decrease short- and long-term health risks among children under five”. But why only includes recent birth children between the ages of under 2 years?

Response: Thank you for your query. Please see the revised manuscript (page: 6; line 140-143).

• Write more about water facility at premises in the Explanatory variables section.

Response: Thank you for your query. Water facility is classified into two categories as per demographic health survey (DHS) guideline. It is difficult to describe all things in manuscript. You can visit NFHS-5 report for better understanding. Please look at the website for your query:

https://rchiips.org/nfhs/NFHS-5Reports/National%20Report%20Volume%20II.pdf

• Please provide the more details of Model validation.

Response: Thank your sir for your suggestion. We think the manuscript has sufficient description about all models. We have also checked VIF also.

• Write more about why author excluded not dejure households from study population.

Response: We exclude not dejure households for avoiding biasness in study sample.

• The data interpretation is well presented, the statistical significance of obtained data is little needed to improve.

Response: Thank your sir for your suggestion. We have incorporated all things as per your suggestion.

• In heading of the column in Table 3 author have written Rural, Urban, again, Urban. I think, this will be India.

Response: We really thankful to you. Yes, you’re absolutely correct. We rectified as India. Thank you again.

• The comparison of data obtained in the present study to published data should be added along with a clear description of what new the present study adds to the current knowledge, a more detailed exposition of the points for a deeper understanding would be desirable.

Response: Thank your sir for your suggestion. We addressed your suggestion thoroughly in our revised manuscript. Please see the introduction and discussion section.

Reviewer #2:

Thank you for providing me the opportunity to review this paper. The authors' manuscript is well-written, and the statistical application is also good. There were some minor issues regarding the writing; therefore, I recommend it for publication with minor revisions. The suggestions are as follows:

1. In abstract result section please replace wording “primarily attributed” to “contributing significant were”. Similarly, please replace “as influential in this practice” to “were significant predictors” for readers’ clarity.

Response: Thank you sir for your nuance observation. We replaced the words as per your recommendations. Please see the revised manuscript (line 41 and 42).

2. In introduction section, please replace “conspicuous divide” to “regional divide”.

Response: We replaced the words as ‘regional divide’ as you mentioned. Please see the revised manuscript.

3. Please add predictors of unsafe young children’s stool disposal practices in the sentence – “Therefore, a study is relevant to contextualize the disposal practice of child stools in India”.

Response: Thank you for your observation. We replaced the words as per your recommendations. Please see the revised manuscript.

4. I suggest authors to rewrite this sentence and replace “children utlize” to “mother utilize”- This encompasses situations where children utilize designated toilets or latrines for stool disposal.

Response: We replaced the word as per your recommendations. Please see the revised manuscript (line 163).

5. As the research on children stool management, so better to use mother’s age, education throughout the manuscript instead of women age or education and others to mother’s age, education.

Response: We replaced it women’s to mother’s age/education and vice-versa throughout the revised manuscript.

6. Please add abbreviation of CI below the table 1.

Response: We incorporated abbreviation of CI in Tables

7. I suggest authors to add a figure- prevalence of unsafe stool disposal by place of residence and national average in India.

Response: Thank you for your suggestion. Please see the Figure 2. We also included district wise prevalence map

8. In table 5 please maintain only point two-digit reporting.

Response: Thank you for your observation. We exclude decomposition analysis.

9. However, a gap persists in understanding unsafe stool disposal practices among young children. - Please add “a research gap” instead of” gap” in this sentence.

Response: Thank you for your observation. We add this in our revised manuscript (line 274).

10. Authors used the wording “household wealth”, please write wealth quintile.

Response: We used ‘wealth quintile’ instead of ‘household wealth quintile’ as per your suggestion in all necessary places in our revised manuscript.

11. Major findings-based policy suggestions missing in the discussion section. I suggest authors to add your major finding-based policy implications.

Response: Thank you for your recommendation. Please see the discussion section (line 295-298 and 307-310; 323-328)

12. Please rewrite this sentence- Utilizing secondary data from the fifth round of the National Family Health Survey (2019- 21), the study examined 78,074 births under two years.

Response: We revised the sentence as “The study used 78,074 births under two years from the fifth round of the National Family Health Survey (2019-21)” (line 34-37) .

13. I found some minor grammatical errors and inconsistency of wording, so please correct it carefully.

Response: We rectified all necessary grammatical errors in our revised manuscript.

14. The title says “Exploring drivers of unsafe young children's stool disposal practices in India using hierarchical regression model and Fairlie decomposition analysis”. From the title it is not clear which gap you want to decompose using Fairlie decomposition.

Response: We revised our study title as “Exploring drivers of unsafe disposal of child stool in India using hierarchical regression model”

15. In abstract it is written “The study aimed to identify the factors behind this unsafe practice in India.” But the study also decomposes the rural urban gap in child stool disposal. Please mention it accordingly.

Response: Thank you for your observation. We replaced as “the current study aims to identify the socioeconomic and demographic factors associated with the unsafe disposal of child stool in India and to estimate the geographical variation in unsafe disposal.

16. Abstract: “Fairlie decomposition indicated a 21% rural-urban disparity”. Fairlie decomposition decomposes the gap or inequality; it does not 'indicate' the inequality. So please rectify the sentence. Please mention how much rural-urban gap is explained or decomposed using Fairlie decomposition.

Response: We exclude decomposition analysis.

17. Please shorten the section “Sampling technique”. Citing the NFHS-5 report would also do the job. No need to discuss NFHS-5 sampling technique in such details.

Response: Thank you for your observation. We removed these sections ‘Study design and setting’ and ‘Sampling technique’ in our revised manuscript.

18. Authors mentioned “The chi-square statistic was used to assess the significance of the selected predictors and outcome variables”. However I couldn’t find out the Chi-squared results.

Response: Thank you for your observation. We added chi-squared value in table 2.

Attachment

Submitted filename: Responses.docx

pone.0295788.s002.docx (18.7KB, docx)

Decision Letter 1

Pintu Paul

29 Nov 2023

Exploring drivers of unsafe disposal of child stool in India using hierarchical regression model

PONE-D-23-28796R1

Dear Dr. Rahaman,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Pintu Paul

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Pintu Paul

8 Mar 2024

PONE-D-23-28796R1

PLOS ONE

Dear Dr. Rahaman,

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Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Operational description of the predictor variables.

    (DOCX)

    pone.0295788.s001.docx (16KB, docx)
    Attachment

    Submitted filename: Responses.docx

    pone.0295788.s002.docx (18.7KB, docx)

    Data Availability Statement

    The data for this study was sourced from the fifth round of the National Family Health Survey (NFHS-5), which is publicly available based on research proposal and filling out mandatory registration form, creating user account and receiving data use approval letter through the Demographic and Health Survey DHS website. The present study was obtained data for specific research purposes only, with authorization from DHS (accession numbers: 184169). In particular, to access the present study data, users need to register for an account on the DHS website. Once registered, users can conveniently download the dataset for analysis. To access the dataset, users can follow these steps: Register for a user account at https://dhsprogram.com/data/new-user-registration.cfm, Visit the data catalogue at https://dhsprogram.com/Data/, select the available dataset at https://dhsprogram.com/data/available-datasets.cfm, Choose the country "India" under the available datasets, navigate to the dataset titled "India: Standard DHS, 2019-21" under weblink https://dhsprogram.com/data/dataset/India_Standard-DHS_2020.cfm?flag=1, select the file IABR7EDT.ZIP for download. Comprehensive instructions for accessing the DHS data are provided on the DHS website for easy reference at https://dhsprogram.com/data/Access-Instructions.cfm.


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