Skip to main content

Absorbent hygiene products disposal behaviour in informal settlements: identifying determinants and underlying mechanisms in Durban, South Africa

Abstract

Background

Within South Africa, many low-income communities lack reliable waste management services. Within these contexts, absorbent hygiene product (AHP) waste, including nappies (diapers), are not recycled, and are often dumped, ending up in watercourses and polluting the local environment. The structural barriers to collection which have been well explored, however the behavioural determinants of safe disposal for AHPs remains poorly understood. The purpose of this study is to determine the psycho-social factors driving AHP disposal behaviour for caregivers, while identifying potential underlying mechanisms (such as mental health), which may be influencing disposal behaviour, with the intention of informing a future, contextually appropriate and sustainable, collection system.

Methods

The cross-sectional study was conducted within three low-income communities located within eThekwini Municipality (Durban), South Africa. The study included a pre-study and a quantitative survey of 452 caregivers, utilising the RANAS approach of behaviour change. The quantitative questionnaire was based on the RANAS model to measure psycho-social factors underlying sanitary disposal of AHPs. Mental health was assessed using the Self-Reporting Questionnaire (SRQ-20). Statistical analysis involved regressing psycho-social factors onto disposal behaviour and exploring their interaction with mental health through a moderation model.

Results

Our findings suggest that one third of caregivers do not dispose of nappies sanitarily, despite intent (86.9%). Regression analysis revealed ten psycho-social factors which significantly predict the desired behavioural outcome, the sanitary disposal of AHPs. Caregivers with poor mental health were less likely to dispose of AHP sanitarily, which reflects previous research linking poor mental health and the impairment of health-related daily activities, particularly within vulnerable groups. Specifically, several psycho-social factors underlying were moderated by poor mental health, the prevalence of sanitary disposal of AHPs depended on mental condition of caregiver.

Conclusions

Our findings confirmed the link between poor mental health and unsanitary AHPs disposal. This is especially relevant because poor mental health is common within South Africa. Addressing mental health problems within these communities is an essential step to providing sustainable waste management services. The findings informed an intervention strategy to implement a future collection system for these communities, and similar low-income or informal contexts within South Africa.

Peer Review reports

Introduction

Across the globe, inequality underpins access to waste management systems, structuring who can or cannot utilise or provide sustainable services [1,2,3]. In South Africa, the most unequal country in the world [4], this is particularly the case, where nearly half the population lacks access to municipal waste collection [2, 5]. Although the democratic South African state has made great strides over the past two decades to extend service provision to previously un-serviced areas, this gap remains the most prominent in historically non-white communities, including traditionally governed rural and peri-urban land, as well as the multitude of informal settlements which have proliferated within, and on the margins of, South Africa’s cities [6, 7]. This inequality contributes to numerous health and safety impacts on affected communities, who are burdened with unclean spaces and riskier disposal options, while contributing to the leakage of solid waste into the natural environment, including our rivers and oceans (Kalina et al., 2022a). Within the City of Durban, located on South Africa’s eastern coast and part of the larger eThekwini Metropolitan Municipality, Municipal officials have embarked on efforts to ‘upgrade’ informal settlements, and provide basic services, including waste collection [9, 10]. However, financial constraints within the municipality, the logistical hurdles of providing services within informal spaces, and the inability for poor residents to pay, has severely hampered the provision of reliable waste management services [11].

Absorbent Hygiene Products (AHPs), which include disposable tissues, diapers, and feminine hygiene products, are essential to human dignity and hygiene, especially for women, the elderly, the ill, people who menstruate, parents, and other caregivers. Currently, few end-of-life (EoL) options exist for AHP waste, especially within the Global South, where the majority of AHP waste is disposed of within dumpsites or landfills [12]. Moreover, because the use of AHPs is expected to rise, it is anticipated that AHPs will become a growing waste management challenge, particularly in Southern cities, with less robust Municipal Solid Waste (MSW) systems, and which, as the ongoing Covid-19 pandemic has demonstrated, are less able to manage increases in potentially hazardous waste [13,14,15]. Within South Africa, AHP waste, including nappies (diapers), are not recycled, and are often dumped, especially in low-income communities (Schenck et al., 2019; Schenck et al., 2022). Moreover, the disposal of AHPs, and feminine hygiene products in particular, is complicated by taboo or stigma, which in many cultures, including within South Africa, is attached to menstrual blood, forcing women into often hidden or unsafe disposal pathways for these items, such as in the bush or down the toilet (Kalina et al., 2022b; Roxburgh et al., 2020). As a result, improperly disposed AHPs are a significant source of waste leakage into the natural environment, where in Durban, especially in low-income communities, AHP waste often litters hillsides and clogs storm water drains, from where it washes into our rivers, and eventually the sea (Kalina et al., 2022a). Given the challenges of providing solid waste management services and the difficult socio-economic conditions within these contexts, what drives AHP disposal behaviour, and what underlying mechanisms may be influencing individual disposal decisions?

Moreover, previous research from the World Health Organisation (WHO) [20] has suggested that underlying mechanisms, including chronic illness and mental health may be impacted by waste within the environment, while influencing waste management behaviours of affected individuals. Furthermore, previous research from within Southern Africa has suggested that poor mental health and depression can impair daily activities in vulnerable groups, including children and youth [21,22,23]. This connection is particularly relevant within South Africa, where the prevalence of mental disorders is particularly high (30.3%) [24].

The purpose of this study is to determine the psycho-social factors driving AHP disposal behaviour for mothers and caregivers, while identifying potential underlying mechanisms (such as mental health), which may be influencing disposal behaviour, with the intention of informing a future, contextually appropriate and sustainable, collection system. Although there has been some investigation of behaviour factors driving recycling within South Africa [25, 26], psycho-social evaluation has not yet, as far as we know, been utilised to investigate AHP disposal.

Specifically, we ask: (1) which psycho-social factors are determinants for sanitary disposal of AHPs among caregivers in low-income contexts, and (2) how does mental health influence caregivers’ sanitary disposal of AHPs? This work directly responds to a knowledge gap on the behavioural determinants of safe disposal and collection of AHPs, both in South Africa and globally. To identify the behavioural factors associated with caregiver’s sanitary disposal and collection of AHPs behaviour, this study utilised the Risks-, Attitudes-, Norms-, Abilities- and Self-regulation (RANAS) approach of behaviour change, a methodological approach for developing, implementing, and evaluating behaviour change (BC) strategies, that has been utilised in many South and low-income contexts similar to our case study [27,28,29,30,31].

Methodology

Study design, location and period

This cross-sectional study included a qualitative pre-study and a quantitative survey in low-income communities related to Durban, South Africa. Data collection took place in three pre-selected low-income communities: Mzinyathi, Johanna Road Informal Settlement, and Blackburn Village in eThekwini Municipality from September to November 2022. Each are low-income settlements within eThekwini municipal boundaries (Fig. 1). Both Johanna Road and Blackburn Village are informal settlements, which are housing areas that have been illegally built on municipal land, giving the appearance of impermanence, but over time, have become established communities. Mzinyathi, by contrast, is a sprawling, peri-urban settlement on the fringe of the municipality. Although they share similarities, the communities are differentiated in terms of housing construction density, settlement size, accessibility from the developed urban commercial-industrial centres, and surrounding land use. However, all three suffer from a variety of service delivery challenges, as Johanna Road and Blackburn Village are informal, and do not receive regular municipal services, and Mzinyathi is located in traditional authority land, and likewise is not serviced by the municipality as residents do not pay rates. As a result, waste management is a significant challenge in all three communities, with an immense amount of waste leaking into the natural environment from improper disposal and a lack of collection. Moreover, all three are located within close proximity of natural watercourse within a few miles of the ocean, hence increasing the environmental beneficial impacts of the study.

Fig. 1
figure 1

Community locations in relation to central Durban (Map Data Source: Mappin WMS)

Study participants, sampling methods and sample size

The study participants were caregivers of children up to 5 years. The pre-study involved three focus group discussions (FGD’s, N = 30) with caregivers (all of them were mothers of a child up to five years). A pre-study was conducted to inform and develop the quantitative survey. The participants for the quantitative survey were selected using a random route method (every second house). In total, N = 452 caregivers were recruited for our research study. Participation in the study was completely voluntary. Written, informed consent was obtained from each participant. No individuals under the age of 18 were included and the study did not encounter illiterate participants.

RANAS

The RANAS model has been developed using various psychological theories [32, 33]. The model consists of five psychosocial factor blocks. Risk factors include health related knowledge, perceived vulnerability, and perceived severity of the target behaviours. Attitude factors include beliefs about the costs and benefits of a target behaviour and feelings arising while performing the target behaviour. Norm factors comprise perceived social influence, such as behaviour of others, others’ approval, and personal importance. Ability factors include confidence in performance of a particular behaviour. Self-regulation factors cover management of conflicting goals and barriers, commitment, and remembering to perform the target behaviour. Furthermore, the RANAS model considers not only psycho-social factors underlying intention, habit and behaviour, but also three domains of contextual factors: social, personal, and physical contexts. Culture, social relations, laws and policies, economic conditions, and the information environment constitute the social context. The natural and built environments comprise the physical context. Age, gender, education, individual differences in the physical and mental health of the person and are part of the personal context (Fig. 2).

Figure 2 The Ranas model [33].

Questionnaires and measures

The structured, face-to-face interviews were conducted in isiZulu. The quantitative questionnaire was based on the RANAS model. Most of the questions were closed, such as those about the target behaviour and the psychosocial factors underlying target behaviour. Questions were measured on 5-point scale [from ‘not at all’ to ‘very much’; from ‘at no time’ to ‘almost each time’; from ‘never’ to ‘very often’; from ‘nobody’ to ‘almost all of them’]. The SRQ-20, a 20-items screening instrument which was developed by WHO and widely used in low- and middle-income countries, was used to assess mental health among mothers and caregivers [34]. A research assistant in South Africa translated the questionnaire from English to isiZulu. Subsequently, a different research assistant in South Africa translated the questionnaire back to English from isiZulu to verify the precision of the translation. Moreover, during the eight days training of the local research assistants and enumerators’, detailed discussions were held to ensure a comprehensive understanding of the intent behind each question.

Ethical, safety and regulatory issues

The study research protocol was approved by the Ethics Committee of the ETH Zurich in Switzerland [EK-2022-N-155] and the University of KwaZulu-Natal Research Ethics Committee [REC-040414-040]. All procedures applied in the research study were in accordance with the Declaration of Helsinki. All study participants were over the age of 18 and provided written informed consent. For those are unable to read or write, the consent statement was read aloud and individuals provided consent by making a mark on the subject signature line.Participants were provided with a unique identifying number, and data were anonymized during data analysis. Data were accessed only by the authors.

Statistical analysis of data

The statistical analysis of data was conducted using IBM SPSS 28 Statistics software and the PROCESS macro for SPSS [35]. To identify the most influential behavioural determinants, psycho-social factors of the RANAS model underlying target behaviour (independent variables) were regressed onto the sanitary disposal AHPs as outcome (the dependent variable). Correlations were used to investigate associations between study variables such as sanitary disposal of AHPs, and mental health. T-tests and effect size calculations were used to compare means between poor and good mental health groups [36]. A regression analysis method, PROCESS (see [37]) was applied to calculate moderation model. The moderation model was used to test for interaction (when two variables influence each other’s effects). Our moderation model included mental health as the moderator (M), sanitary disposal of AHPs as the outcome (Y), and psycho-social factors as predictors (X). Only significant factors from linear regression analysis were tested in a moderation model. Moderation analysis was used to test the interaction between the moderator M (mental health) and predictors X (psycho-social factors) in a model with outcome Y (sanitary disposal of AHPs). With evidence that X’s effect is moderated by M, the analysis should confirm X’s effect on Y at various values of the moderator (Scale: 0–20 in our model).

Results

Characteristics of the RANAS sample

From total 452 caregivers, 90.7% were female (N = 410) and 9.3% male (N = 42). The age of study participants was categorised in six categories, 18–24 years old were 20.6% (N = 93), 25–29 years old were 38.9% (N = 176), 30–39 years old 26.8% (N = 121), 40–49 years old 8.2% (N = 37), 50–59 years old 3.3% (N = 15) and 2.2% (N = 10) were 60 years and more. The majority (86.3%) of caregivers were 18–39 years old at the time of assessment. Average household size among the study population was M = 4.27 (SD = 1.94) and children under two years in a household M = 1.40 (SD = 0.77) (other characteristics in Table 1).

Table 1 Sociodemographic Characteristics of Participants (n, %)

Prevalence of common mental disorders (CMD)

To detect the group of caregivers who are at risk of developing common mental disorders (CMD), the SRQ-20 self-reported instrument was used [34] The SRQ-20 is a reliable and valid CMD measurement which consists of 20-item rating scale with a score range from 0 to 20 (the cut-off point ≥ 7). The results revealed that prevalence of CMD among caregivers (N = 450) in three study communities was 20.4% (N = 92) (Fig. 2).

Fig. 2
figure 2

Prevalence of common mental disorders (CMD) among mothers and caregivers

Further t-test mean comparison analysis revealed significant differences between women and men t(61.05) = -2.41, p =.019. Specifically, women (N = 408; M = 4.22 (SD = 15.04)) reported significantly more mental health related symptoms (95%-CI[-2.57, -0.24]) than men (N = 42; M = 2.81 (SD = 3.42)).

Factual and action knowledge about waste relationship to health and prevention

Only 28.3% (N = 130) of respondents answered that sanitary disposal of AHP means to ‘dispose nappies in a designated bin/ separate plastic bag for nappies’ and 35.9% (N = 151) ‘in a black plastic bag’ (Table 2).

Table 2 Factual and action knowledge about health risks and prevention

Use and sanitary disposal of AHPs

From 452 caregivers, 93.1% (N = 421) reported that they use child nappies. Only 18.4% (N = 83) of the respondents reported that in general they dispose AHPs in a designated/ separate plastic bag for nappies, and 58.4% (N = 264) in a black plastic bag. Furthermore, only 17.9% (N = 81) of respondents answered that last times they disposed AHPs ‘in a designated bin/ separate plastic bag for nappies’, however 49.8% (N = 225) disposed AHPs ‘in a black plastic bag’ (Table 3).

Table 3 AHP (no) sanitary disposal practices (only users are presented)

Self-reported behavioural frequencies

On average, interviewed users reported that they ‘quite = 3’ or ‘much = 4’ dispose sanitary child nappies (\( M\)=3.83 (SD = 0.97)) on 5-point response scale from 1 (not at all) to 5 (very much). 3.1% of caregivers (N = 13) answered with ‘not at all = 1’, 6.9% with ‘a little = 2’ and 17.3% with ‘quite = 3’. In total, almost one third of caregivers do not dispose child nappies sanitarily (27.3% non-doers). Habitual behaviour to dispose child nappies sanitarily were reported by 67.5% of caregivers, but one third of caregivers reported that they do not dispose sanitarily child’s nappies as a matter of habit (without thinking) (32.5% non-doers). Most of them reported that they intend to dispose child nappies sanitarily (86.9%) and most of them intend to bring them to the collection point (84.6%) (Table 4).

Table 4 Behaviour, habit, and intention for sanitary disposal of AHPs frequencies and average

Behavioural determinants

To investigate which psycho-social factors are determinants for sanitary disposal of AHPs among caregivers we used linear regression with sanitary disposal of AHPs behaviour as the dependent variable and the RANAS psycho-social factors as independent variables.

The regression analysis revealed that ten psycho-social factors significantly predicted sanitary disposal of AHPs: The model explained a variance of 45.6% in the sanitary disposal of AHPs behaviour (Table 5). A higher level of sanitary AHPs disposal was significantly related to perceived vulnerability (β = 0.239, p =.000), and factual knowledge about the links between health and waste (β =–0.086, p =.033). Affective beliefs, such as feeling proud, stress free, like, or happiness (β = 0.214, p =.010), beliefs about prevention, safe and clean environmental (β =–0.159, p =.010) connected to the sanitary disposal of AHPs also significantly predicted sanitary disposal of AHPs behaviour. Social norm (personal obligation) (β =–0.112, p =.049) significantly predicted higher frequency of sanitary disposal of AHPs as well. Action knowledge (how-to-do) (β =–0.187, p =.000), self-efficacy in a hurry, which represents confidence in performance (β = 0.142, p =.035), recovering after disruption (β = 0.171, p =.001), action control/ planning (β =–0.139, p =.001) and remembering to dispose sanitarily AHPs were significant predictors of target behavioural outcome (β = 0.302, p =.000).

Table 5 Behavioural determinants of sanitary disposal of AHPs

These results suggest that by enhancing any of the ten significant psycho-social factors, while controlling for others (all other factors hold constant), an increase in the safe disposal of AHPs among caregivers can be expected. Specifically, an increase in the safe disposal of AHPs by 23.9% is anticipated among caregivers who recognize the health risks of unsafe AHP disposal (perceived vulnerability 1). Additionally, an increase in the safe disposal of AHPs is expected from 2.3% of caregivers who are aware of the links between waste and health (factual knowledge), 38.8% who understand how to safely dispose of AHPs (action knowledge), and 22.4% who believe that safe disposal of AHPs prevents diseases (beliefs about prevention, safe and clean environmental). A further increase by 29.8% is anticipated among those who experience positive feelings (affective beliefs), and approximately 13.1% among those who feel a personally obliged (personal obligation) to dispose of AHPs safely. Moreover, an improvement in the safe disposal of AHPs by 14.2% is likely among caregivers who are confident in their ability to correctly dispose of AHPs even in a hurry (confidence in performance in a hurry) and 19.2% among those confident in their ability to continue safe practices even when faced with obstacles (confidence in recovery). An increase by 12.9% is also expected among caregivers who are attentive (action control) and 33.8% by those who remember (remembering) to dispose of AHPs safely.

Interaction effects between psycho-social factors and mental health on behavioural outcome

To investigate whether mental health influence the relationship between relevant psycho-social factors and sanitary disposal of AHPs, correlations (Spearman), and moderation analysis using PROCESS for SPSS 28 were applied [37]. Our moderation model included mental health as moderator (M), sanitary disposal of AHPs as outcome (Y), and psycho-social factors as predictors (X). Only significant psycho-social factors from linear regression analysis were tested.

To investigate the relationship between mental health and behavioural outcome, we used correlation analysis. The results revealed a significant positive relationship (Spearman correlation) between mental health and higher behavioural frequency to not dispose sanitarily AHPs (r =.099*). Caregivers with poor mental health were more likely to not dispose sanitarily AHPs.

Five moderation models showed significant interaction effects between mental health and psycho-social factors: positive feelings, perceived vulnerability, belief about prevention, safe & clean environment, confidence in performance, and remembering sanitary disposal of AHPs.

Moderation analysis revealed significant interaction effects between mental health (M) and psycho-social factor positive feelings (X) on sanitary disposal of AHPs as an outcome (b = 0.0283, 95% CI [0.0056, 0.0510], t = 2.45, p =.0148). Mental health moderated the effects of psycho-social factor positive feelings on sanitary disposal of AHPs (Fig. 3).

Further, analysis showed significant interaction effects between mental health (M) and psycho-social factor perceived vulnerability (X) on sanitary disposal of AHPs as an outcome (b = 0.0201, 95% CI [0.0025, 0.0377], t = 2.25, p =.0250) (Fig. 4). Interaction effects were also significant in a moderation model with psycho-social factors belief about prevention, safe & clean environment (b = 0.0328, 95% CI [0.0058, 0.0598], t = 2.39, p =.0173) (Fig. 5), confidence in performance in a hurry (b = 0.0173, 95% CI [0.0010, 0.0336], t = 2.08, p =.0381) (Fig. 6) and remembering about sanitary disposal of AHPs (b = 0.0190, 95% CI [0.0016, 0.0365], t = 2.15, p =.0325) (Fig. 7).

Fig. 3
figure 3

Interaction effects between mental health and psycho-social factor ‘positive feelings’ on self-reported sanitary disposal of AHPs. Mental health values are the 16th, 50th, and 84th percentiles (SRQ-20 scale 0–20)

Fig. 4
figure 4

Interaction effects between mental health and psycho-social factor ‘perceived vulnerability’ on self-reported sanitary disposal of AHPs. Mental health values are the 16th, 50th, and 84th percentiles (SRQ-20 scale 0–20)

Fig. 5
figure 5

Interaction effects between mental health and psycho-social factor ‘belief prevention, safe & clean environment’ on self-reported sanitary disposal of AHPs. Mental health values are the 16th, 50th, and 84th percentiles (SRQ-20 scale 0–20)

Fig. 6
figure 6

Interaction effects between mental health and psycho-social factor ‘confidence in performance in a hurry’ on self-reported sanitary disposal of AHPs. Mental health values are the 16th, 50th, and 84th percentiles (SRQ-20 scale 0–20)

Fig. 7
figure 7

Interaction effects between mental health and psycho-social factor ‘remembering’ on self-reported sanitary disposal of AHPs. Mental health values are the 16th, 50th, and 84th percentiles (SRQ-20 scale 0–20)

In summary, the relationship between psycho-social factors positive feelings, perceived vulnerability, belief about prevention, safe & clean environment, confidence in performance (hurry), and remembering (X) and sanitary disposal of AHPs (Y) varied as a function of the mental state of the caregivers (M), meaning that the relationship depends on the mental state of caregivers. Though the relationship was positive, it was more positive among mothers and caregivers with good mental health.

Discussion

Interpretation of results

This study initiated an interdisciplinary exploration of psycho-social factors and underlying mechanisms, such as mental health, influencing caregivers’ behaviour regarding the collection and sanitary disposal of AHPs in three low-income communities within eThekwini Municipality, Durban, South Africa. By integrating approaches from psychology, geography, engineering, and economics, our research aimed not only to map the quantitative waste generation and dumping hotspots but also to develop and implement behaviour change (BC) intervention strategies for enhancing the sanitary disposal of AHPs and initiating an AHP collection and recycling pilot.

Our findings revealed a concerning trend: approximately one-third of caregivers do not practice sanitary disposal of child nappies, despite a high intent reported for future sanitary disposal (86.9%) and collection (84.6%) practices. This discrepancy underscores a gap between intention and behaviour, potentially exacerbated by socio-economic constraints and mental health challenges. Notably, the study highlights a significant prevalence (20.4%, every 5th caregiver was affected) of poor mental health among caregivers, with women being significantly more affected than men. This aligns with broader research indicating the negative impact of mental health on daily health-related behaviours, especially in vulnerable populations within low-income contexts. Comparatively, our findings resonate with studies from Malawi [21,22,23], yet they also underscore the critical need for targeted mental health interventions within BC strategies, a novel insight that adds depth to the existing literature on waste management and health behaviours.

Our application of the RANAS Model to explained a significant portion (45.6%) of the variance in sanitary disposal behaviours which reaffirms its utility across diverse contexts, particularly in low-income countries (see publications: https://www.ranasmosler.com/publications). The identification of key determinants provided a nuanced understanding of the behavioural ecosystem surrounding AHP disposal. The most important determinants of sanitary disposal and collection of AHPs were perceived vulnerability about personal health and environmental risks, health related factual knowledge, positive feelings towards sanitary disposal and collection of AHPs, beliefs about prevention, safe and clean environment, personal obligation, action knowledge (how-to-do), confidence in performance (hurry and recovering), action control/planning and remembering of sanitary disposal and collection of AHPs. Consequently, by targeting those psycho-social factors with BC interventions we expect higher frequencies of sanitary disposal of AHPs among mothers and caregivers after the intervention. This interdisciplinary analysis not only validates previous findings but also reveals psycho-social factors that can inform more effective BC interventions.

By analysing the role of mental health, our study contributes fresh insights into the moderating effects of mental health on environmental and health behaviours, advocating for a more holistic approach to intervention design. Our study results are in line with previous research that mental health moderates the effects of several psycho-social factors on target behaviour [21,22,23]. That is, the prevalence of targeted behaviour depends on the mental state of caregivers. While this relationship was positive for all participants, it was more positive among mothers and caregivers with better mental health. The pronounced impact of mental health on sanitary disposal behaviours underscores an urgent need for integrated BC strategies that address mental health, particularly among women. Our findings suggest that targeting psycho-social factors, including health knowledge, environmental beliefs, and personal obligations, could significantly enhance sanitary disposal practices. However, the integration of mental health interventions presents a novel pathway to bolstering these efforts, potentially offering a blueprint for similar initiatives globally.

In summary, our investigation extends beyond the mere quantification of waste and mapping of dumping hotspots to uncover the deeply entrenched psycho-social and mental health factors influencing AHP disposal behaviours in low-income communities. By highlighting the critical role of mental health and providing a comprehensive analysis of behavioural determinants, our study not only corroborates existing research but also charts new directions for future studies and policy. The insights derived from this interdisciplinary effort offer a valuable contribution to the ongoing discourse on sustainable waste management, mental health, and community resilience, steering towards more informed and effective behaviour change interventions.

Limitations

The study’s communities were chosen through purposive sampling, focusing on three specific communities in relation to the city of Durban. Consequently, the insights obtained are closely linked to these communities, limiting the generalizability of our conclusions across different South African regions or other socio-economic contexts. This sampling approach, while beneficial for in-depth, context-specific understanding, may not reflect the full spectrum of experiences and behaviours present in varied settings.

Furthermore, the study’s emphasis on psycho-social factors, though comprehensive, might not have captured all potential variables influencing the sanitary disposal of AHPs. The complex interplay of economic, cultural, and infrastructural factors also deserves attention, as these could significantly affect the implementation and effectiveness of BC interventions in diverse communities.

Future research should consider expanding the geographic scope of study to include a wider range of communities, utilizing random sampling methods where feasible to enhance the representativeness of the findings. Additionally, investigations into the role of economic and cultural factors, alongside the psycho-social determinants explored in this study, could offer a more holistic view of the barriers and facilitators to sanitary AHP disposal. Implementing longitudinal studies could also reveal insights into the long-term effectiveness of BC interventions and the sustainability of behaviour change over time.

By addressing these limitations and following the outlined future directions, subsequent research can build upon our findings, offering deeper insights and more robust recommendations for improving waste management practices, mental health, and community resilience across varying contexts.

Practical implications

The study underscores the need for a comprehensive intervention strategy targeting critical psycho-social factors. Additionally, the intervention should leverage the most trusted communication sources identified by participants, including family, friends, and local media, to effectively disseminate behaviour change messages. Moreover, the successful implementation of behaviour change strategies necessitates not only tailored communication but also the provision of essential infrastructure, such as bins and collection systems, and the transformation of dumpsites into community spaces, thereby fostering a holistic approach to promoting sanitary disposal practices. Furthermore, addressing mental health is crucial, recognizing that the psychological well-being of caregivers involved is essential for the sustained success of these practices.

BC intervention strategy for sanitary disposal and collection of AHPs

The study results (Table A1 in Annex) revealed that an intervention strategy should target the following psycho-social factors: perceived vulnerability, factual knowledge about relationship between health and waste, beliefs about prevention, safe & clean environment, affective beliefs (positive feelings), social norm (personal obligation), action knowledge, self-efficacy (confidence in performance and recovery), action control, and remembering (Table A1 in Annex). Behaviour change techniques (BCT’s) are selected from the RANAS BCT’s catalogueFootnote 1. Intervention strategy should be discussed during the two days BC intervention development workshop with key stakeholders about the feasibility of BC interventions and inform the final BC intervention implementation guide. Intervention strategy includes targeted psycho-social factors, behaviour change techniques (BCT’s), specific activities and messages, communication channels (Table A1 in Annex) and the most trusted communication sources (Table A2 in Annex).

Additional to evidence-based BC strategy, infrastructure such as bin and collection system should be provided. Furthermore, the dump sides should be cleaned before the intervention and community- based incentives (i.e. transformation of the dump sides into green spaces) should be implemented parallel to or after BC strategy implementation.

Mental Health intervention

The study results indicate the importance of addressing mental health among caregivers for the effective implementation of sanitary disposal practices. As a practical implication, the Problem Management Plus (PM+) program [38], suggested by the WHO, offers a feasible and scalable solution to address the acute shortage of mental health services in low- and middle-income countries (LMICs). PM + is a low-intensity, transdiagnostic psychological intervention that can be delivered by trained lay helpers, effectively bypassing the barriers of limited funding, insufficient infrastructure, and the scarcity of mental health professionals in these regions. By focusing on core strategies like stress management, problem-solving, behavioural activation, and strengthening social support, PM + addresses a wide range of common mental health issues, making it a versatile tool in diverse cultural settings. The implementation of PM + as a community-based intervention aligns with the need for accessible, cost-effective, and culturally sensitive mental health solutions, promising to significantly enhance mental health care delivery and outcomes in LMICs.

Conclusions

This was the study investigating psycho-social factors and underlying mechanisms (i.e. mental health) related to sanitary disposal and collection of AHPs among mothers and caregivers in low-income and informal communities in Durban, South Africa. Our research findings confirmed the link between poor mental health and unsanitary AHPs disposal. This is especially relevant because poor mental health is common within South Africa. Addressing mental health problems within these communities is an essential step to providing sustainable waste management services. The impact of these interventions will lead to a cleaner environment and better health and mental health among community members. Our research findings are an important contribution to the long-term strategy of achieving the Sustainable Development Goals (SDGs) and contribute to the inclusion of vulnerable caregivers with poor health and mental health living in low-income communities, in humanitarian action related to environmental and climate change through evidence-based BC intervention implementation.

Data availability

The dataset generated and analysed during the current study are available upon reasonable request. Interested researchers would contact the corresponding author at mkalina@ethz.ch for access.

Notes

  1. www.ranasmosler.com.

References

  1. Kalina M. Waste management in a more unequal world: centring inequality in our waste and climate change discourse. null. 2020;25(8):612–8.

    Google Scholar 

  2. Kalina M. As South Africa’s cities burn: we can clean-up, but we cannot sweep away inequality. null. 2021;26(10):1186–91.

    Google Scholar 

  3. Kalina M. The source of waste and the end of waste: COVID-19, climate, and the failure of individual action. Detritus. 2020;10:V–VII.

    Google Scholar 

  4. World Bank. GINI Index [Internet], Washington DC. World Bank; 2018. (D.R. Group, editor. Indicators). Available from: https://data.worldbank.org/indicator/SI.POV.GINI

  5. Kalina M, Makwetu N, Tilley E. The rich will always be able to dispose of their waste: a view from the frontlines of municipal failure in Makhanda, South Africa. Environment, Development and Sustainability [Internet]. 2023; https://0-doi-org.brum.beds.ac.uk/10.1007/s10668-023-03363-1

  6. Adeleke O, Akinlabi S, Jen TC, Dunmade I. Towards sustainability in municipal solid waste management in South Africa: a survey of challenges and prospects. Trans Royal Soc South Afr. 2021;76(1):53–66.

    Article  Google Scholar 

  7. Viljoen JM, Schenck CJ, Volschenk L, Blaauw PF, Grobler L. Household waste management practices and challenges in a rural remote town in the Hantam Municipality in the Northern Cape, South Africa. Sustainability. 2021;13(11):5903.

    Article  Google Scholar 

  8. Kalina M, Kwangulero J, Ali F, Abera YG, Tilley E. Where does it go? Perceptions and problems of riverine and marine litter amongst South Africa and Malawi’s urban poor. PLOS Water. 2022;1(3):e0000013.

    Article  Google Scholar 

  9. Sutherland C, Mazeka B, Buthelezi S, Khumalo D, Martel P. Making informal settlements ‘visible’through datafication: a case study of Quarry Road West informal settlement, Durban, South Africa. Development Informatics Working Paper. 2019;(83).

  10. Weimann A, Oni T. A systematised review of the health impact of urban informal settlements and implications for upgrading interventions in South Africa, a rapidly urbanising middle-income country. Int J Environ Res Public Health. 2019;16(19):3608.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Moodley S, Erwin K. Narratives of Home and Neighbourhood: rethinking risk in Informal and State-delivered settlements in Durban. In: Beier R, Spire A, Bridonneau M, editors. Urban resettlements in the Global South. Routledge; 2021. pp. 87–106.

  12. Velasco Perez M, Sotelo Navarro PX, Vazquez Morillas A, Espinosa Valdemar RM. Hermoso Lopez Araiza JP. Waste management and environmental impact of absorbent hygiene products: a review. Waste Manag Res. 2021;39(6):767–83.

    Article  PubMed  Google Scholar 

  13. Kalina M, Ali F, Tilley E. Everything continued as normal: what happened to Africa’s wave of Covid-19 waste? Waste Manag. 2021;120:277–9.

    Article  CAS  PubMed  Google Scholar 

  14. Kalina M, Tilley E. This is our next problem: cleaning up from the COVID-19 response. Waste Manag. 2020;108:202–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Tilley E, Kalina M. We Are Already Sick: Infectious Waste Management and Inequality in the Time of Covid-19, a Reflection from Blantyre, Malawi. Worldwide Waste: Journal of Interdisciplinary Studies. 2020;3(1):3.

  16. Schenck CJ, Blaauw PF, Viljoen JM, Swart EC. Exploring the potential health risks faced by waste pickers on landfills in South Africa: a socio-ecological perspective. Int J Environ Res Public Health. 2019;16(11):2059.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Schenck R, Nell C, Grobler L, Blaauw P. Towards engaged solid waste management for cleaner cities and towns in South Africa. Pretoria, South Africa: Council for Scientific and Industrial Research (CSIR); 2022. (Technical report).

  18. Kalina M, Kwangulero J, Ali F, Tilley E. You need to dispose of them somewhere safe: Covid-19, masks, and the pit latrine in Malawi and South Africa. PLoS ONE. 2022;17(2):e0262741.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Roxburgh H, Hampshire K, Kaliwo T, Tilley EA, Oliver DM, Quilliam RS. Power, danger, and secrecy—A socio-cultural examination of menstrual waste management in urban Malawi. PLoS ONE. 2020;15(6):e0235339.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Organization WH. Economics of the health implications of waste management in the context of a circular economy. World Health Organization. Regional Office for Europe; 2023.

  21. Slekiene J, Chidziwisano K, Morse T. Does Poor Mental Health Impair the Effectiveness of Complementary Food Hygiene Behaviour Change Intervention in rural Malawi? Int J Environ Res Public Health. 2022;19(17):10589.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Slekiene J, Mosler HJ. Does depression moderate handwashing in children? BMC Public Health. 2017;18(1):82.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Slekiene J, Mosler HJ. The link between mental health and safe drinking water behaviours in a vulnerable population in rural Malawi. BMC Psychol. 2019;7(1):44.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Herman AA, Williams DR, Stein DJ, Seedat S, Heeringa S, Moomal H. The South African Stress and Health Study (SASH) [Internet]. Vol. 99, South African Medical Journal. 2009. Available from: http://www.samj.org.za/index.php/samj/article/view/3374

  25. Strydom WF. Barriers to Household Waste Recycling: empirical evidence from South Africa. Recycling. 2018;3(3).

  26. Strydom WF. Applying the theory of Planned Behaviour to Recycling Behaviour in South Africa. Recycling. 2018;3(3).

  27. Chidziwisano K, Slekiene J, Mosler HJ, Morse T. Improving complementary food hygiene behaviours using the risk, attitude, norms, ability, and self-regulation approach in rural Malawi. Am J Trop Med Hyg. 2020;102(5):1104.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Gamma AE, Slekiene J, von Medeazza G, Asplund F, Cardoso P, Mosler HJ. Contextual and psychosocial factors predicting Ebola prevention behaviours using the RANAS approach to behaviour change in Guinea-Bissau. BMC Public Health. 2017;17(1):1–12.

    Article  Google Scholar 

  29. Sclar GD, Bauza V, Bisoyi A, Clasen TF, Mosler HJ. Contextual and psychosocial factors influencing caregiver safe disposal of child feces and child latrine training in rural Odisha, India. PLoS ONE. 2022;17(9):e0274069.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Shan X, Ang WL, Yang EH. Mobile app-aided risks, attitudes, norms, abilities and self-regulation (RANAS) approach for recycling behavioural change in Singapore. Resources, Conservation and Recycling. 2020;162:105049.

  31. Slekiene J, Mosler HJ. Characterizing the last latrine nonowners in Rural Malawi. Am J Trop Med Hyg. 2018;98(1):295–9.

    Article  PubMed  Google Scholar 

  32. Mosler HJ. A systematic approach to behaviour change interventions for the water and sanitation sector in developing countries: a conceptual model, a review, and a guideline. Int J Environ Health Res. 2012;22(5):431–49.

    Article  PubMed  Google Scholar 

  33. Mosler HJ, Contzen N. Systematic behaviour change in water, sanitation and hygiene. A practical guide using the RANAS approach. Version 1.1. 2016.

  34. Beusenberg M, Orley JH. World Health Organization. A user’s guide to the self reporting questionnaire. SRQ. World Health Organization; 1994.

  35. Hayes AF. PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling. 2012.

  36. Cohen J. Statistical power analysis. Curr Dir Psychol Sci. 1992;1(3):98–101.

    Article  Google Scholar 

  37. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. Guilford; 2017.

  38. Dawson KS, Bryant RA, Harper M, Tay AK, Rahman A, Schafer A, et al. Problem Management Plus (PM+): a WHO transdiagnostic psychological intervention for common mental health problems. World Psychiatry. 2015;14(3):354.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We are grateful to the 3 data collection teams, supervisors and IT support. We are also very grateful to all participating mothers and caregivers. We wish to express our gratitude to Kimberly-Clark who funded our research.

Funding

Kimberly-Clark Corporation.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, JS, and MK, methodology, JS, NS and MK; data analysis, JS and TS; resources, MK; data curation, JS and MK; writing—original draft preparation, JS, NS, and MK; writing—review and editing, MK and NS; project administration and funding acquisition, MK and NS. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Marc Kalina.

Ethics declarations

Ethics approval and consent to participate

The study research protocol was approved by the Ethics Committee of the ETH Zurich in Switzerland EK-2022-N-155 and the University of KwaZulu-Natal Research Ethics Committee REC-040414-040. All procedures applied in the research study were in accordance with the Declaration of Helsinki. All study participants provided written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Slekiene, J., Swan, N. & Kalina, M. Absorbent hygiene products disposal behaviour in informal settlements: identifying determinants and underlying mechanisms in Durban, South Africa. BMC Public Health 24, 912 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s12889-024-18396-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12889-024-18396-y

Keywords