ABSTRACT
Background
Water insecurity is linked to poor mental health through intrapersonal, relational and community-based stressors. We examined water insecurity and depression among refugee youth in Bidi Bidi, Uganda.
Methods
We conducted a cross-sectional survey and multivariable ordinal logistic regression to examine associations between water insecurity and depression severity, adjusting for gender, resilience, social support and food insecurity.
Results
Among participants (n=115; mean age: 19.7 y, SD 2.3), 80.0% reported water insecurity and 18.3% had moderate/severe depression symptoms. Water insecurity was independently associated with higher levels of depression severity (adjusted OR: 5.61; 95% CI 1.20 to 26.30; p=0.03).
Conclusions
Findings suggest water insecurity was commonplace and associated with depression. Water insecurity could be integrated in refugee mental health promotion by policymakers and community-based programmers.
Keywords: depression, refugee, resource scarcity, Uganda, water insecurity, youth
Introduction
There is emerging literature on the linkages between water insecurity—the inability to access sufficient, reliable and safe water for sanitation and well-being—and poor mental health.1 There are several mechanisms through which water insecurity is theorised to cause distress and impact mental health, including through worry, feelings of social failure, uncertainty and deprivation, loss of opportunities and self-sufficiency and interpersonal conflict.1 For instance, Wutich et al. identify seven potential mechanisms, including uncertainty, shame, frustration, social disconnection and feelings of injustice.1 However, little is known of the associations between water insecurity and mental health among youth or refugees—or refugee youth at the nexus of these identities—living in low and middle income contexts. This is a notable gap, as refugee youth are disproportionately impacted by mental health challenges in part due to trauma, displacement and breakdown of family and social networks, in addition to contextual factors in resettlement such as poverty.2
With >1.5 million refugees, Uganda is the largest refugee-hosting nation in Africa3 and a relevant context to examine water insecurity and linkages with depression among refugee youth. Prior research with non-refugee adults in Uganda documented geospatial clustering of water insecurity and depression symptom severity.4 Here, we describe the association between water insecurity and depression among refugee youth living in Bidi Bidi Refugee Settlement, Uganda, the second largest refugee settlement in the world and the largest in Africa with >240 000 residents, of whom >25% are aged 15–24 y.
Materials and Methods
This is a secondary analysis of a sexual and gender-based violence education comic book pilot study.5 During the pilot study, we conducted a tablet-based, interviewer-administered, cross-sectional survey in March 2021 with refugee youth aged 16–24 y in Bidi Bidi recruited using convenience sampling by peer navigators, appropriate for pilot studies among hard to reach populations on stigmatised topics,6 in collaboration with a community-based refugee agency. Inclusion criteria were: age 16–24 y; identifying as refugees; able to give informed consent; residing in Bidi Bidi refugee Zone 3; and speaking Juba Arabic, Bari or English. Outcome: depression was assessed using the nine-item Patient Health Questionnaire (PHQ-9)7 (present study Cronbach's alpha=0.68) and categorised as a three-level ordinal variable (none/minimal [score 0–4], mild [score 5–9] and moderate/severe [score 10–27]). Exposure: water insecurity was assessed with the Household Water Insecurity Experiences scale,8 including 11 of the 12 items (present study Cronbach's alpha=0.88; water insecure categorized as scores >10). Covariates, identified a priori informed by the existing literature on water insecurity and depression,1 included other resource insecurity (food insecurity), coping resources (resilient coping, social support) and sociodemographic variables (gender). Resilient coping was assessed with the Brief Resilient Coping Scale9 (present study Cronbach's alpha=0.61). Social support was assessed as having both parents alive, living with at least one parent and/or being married; this builds on conceptualisations of social support as a psychosocial resource in the context of interpersonal familial connections, social networks and functional support. Food insecurity was assessed with the question ‘In the last 4 weeks, how often did you go to bed hungry because you didn't have enough to eat?’ and dichotomised as food secure (never/rarely) or food insecure (sometimes/often/always). Sociodemographic variables, including gender, age, education level and country of origin, were collected.
Statistical analysis
We conducted bivariate analyses of water insecurity and depression using ordinal logistic regression followed by multivariable ordinal logistic regression to estimate the independent association between water insecurity and depression severity, adjusting for gender, resilience, social support and food insecurity. The proportional odds assumption was tested using the likelihood ratio test. Predicted probabilites for each level of depression were also estimated, holding all covariates at their means. All analyses were conducted in Stata 16.1 (StataCorp, College Station, TX, USA).
Results
Participants (n=115; mean age: 19.7 y, SD=2.3; women: 51.3%, men: 48.7%) were largely from South Sudan (n=114, 99.1%), had secondary education or higher (n=71, 61.7%) and reported high water insecurity (n=92, 80.0%) and food insecurity (n=68, 59.1%). One-third (n=33; 28.7%) of participants reported depressive symptoms, including 10.4% (n=12) with mild severity levels and 18.3% (n=21) with moderate/severe levels. After adjusting for gender, resilience, social support and food insecurity, water insecurity was associated with higher levels of depression severity (adjusted OR [aOR]: 5.61; 95% CI 1.20 to 26.30; p=0.03) (Table 1). This suggests that water insecure youth are >5.5-fold more likely to report mild depression than no depression or moderate/severe depression compared with mild depression. There was no evidence of violation of the proportional odds assumption. Water insecure youth had higher predicted probabilities of depression at every level of severity compared with water secure youth: mild severity levels (water insecure youth: 12.6% vs. 3.7%: water secure youth); moderate/severe levels (19.9% vs. 4.3%).
Table 1.
Unadjusted ordinal logistic regression | Adjusted* ordinal logistic regression | |||||
---|---|---|---|---|---|---|
OR | 95% CI | p | aOR* | 95% CI | p | |
Water insecurity | ||||||
No | 1.00 | ref. | ref. | 1.00 | ref. | ref. |
Yes | 5.73 | 1.27 to 25.89 | 0.02 | 5.61 | 1.20 to 26.30 | 0.03 |
Gender | ||||||
Women | 1.00 | ref. | ref. | 1.00 | ref. | ref. |
Men | 1.12 | 0.51 to 2.49 | 0.78 | 1.02 | 0.44 to 2.40 | 0.96 |
Resilient coping score | 0.77 | 0.60 to 0.98 | 0.04 | 0.78 | 0.61 to 1.01 | 0.06 |
Social support | ||||||
No | 1.00 | ref. | ref. | 1.00 | ref. | ref. |
Yes | 0.39 | 0.17 to 0.90 | 0.03 | 0.41 | 0.17 to 0.99 | 0.05 |
Food insecurity | ||||||
Never/rarely | 1.00 | ref. | ref. | 1.00 | ref. | ref. |
Sometimes/often/always | 1.34 | 0.59 to 3.04 | 0.49 | 1.21 | 0.50 to 2.91 | 0.68 |
*adjusted for gender, resilience, social support, and food insecurity.
Conclusion
Building on the increasing evidence base that water insecurity is a resource scarcity linked to depression, our findings identify this association among refugee youth in the world's second largest refugee settlement. There is an important limitation to our study. By using convenience sampling our results may not be generalisable; future studies can employ non-random sampling with refugee youth. Yet the results of the association between water insecurity and depression corroborates prior research with non-refugees and provides the rationale for future studies on water insecurity-related health outcomes in humanitarian contexts. Ecosocial approaches that consider the embodiment of hazardous social and ecological environments can guide mental health promotion with youth in humanitarian contexts. Interventions may consider the urgent need to address resource scarcities such as water and food insecurity alongside initiatives that foster social support and resilience.
Acknowledgements
We acknowledge all of the peer navigators and participants, as well as the collaborating agencies: Uganda Refugee Disaster and Management Council (URDMC), Ugandan Ministry of Health, Office of the Prime Minister, Most At Risk Populations Initiative (MARPI) and International Research Consortium.
Contributor Information
Carmen H Logie, Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada, M5S 1V4; United Nations University Institute for Water, Environment, and Health, Hamilton, ON, Canada, L8P 0A1; Centre for Gender & Sexual Health Equity, Vancouver, BC, Canada, V6Z 2K5; Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada, M5G 1N8.
Moses Okumu, School of Social Work, University of Illinois at Urbana Champaign, Urbana, Illinois, USA, 61801.
Miranda Loutet, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada, M5T 3M7.
Isha Berry, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada, M5T 3M7.
Lina Taing, United Nations University Institute for Water, Environment, and Health, Hamilton, ON, Canada, L8P 0A1.
Simon Odong Lukone, Uganda Refugee and Disaster Management Council, Yumbe, Uganda.
Nelson Kisubi, Uganda Refugee and Disaster Management Council, Yumbe, Uganda.
Nina Sokolovic, Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada, M5S 1V4.
Peter Kyambadde, National AIDS Coordinating Program, Ugandan Ministry of Health, Kampala, Uganda; Most at Risk Population Initiative (MARPI), Kampala, Uganda.
Authors’ contributions
CHL, MO, SOL and PK contributed to study design. CHL, MO, ML, IB, SOL, NK and PK contributed to study implementation. ML and IB conducted data analysis and CHL, MO, IB, NS, SOL, NK and LT contributed to data interpretation. CHL led the manuscript writing and ML made major contributions to the writing. CHL, MO, ML, IB, LT, SOL, NK, NS and NK read and approved the final version of the paper.
Funding
The study was funded by Grand Challenges Canada [grant number R-ST-POC-1908–26653] with additional support by Canadian Institutes of Health Research and Social Sciences and Humanities Research Council of Canada. CHL was also supported by Canada Research Chairs, Canada Foundation for Innovation and the Ontario Ministry for Research and Innovation.
Competing interests
None to declare.
Ethical approval
Research ethics board approval for this study was provided by Mildmay Uganda Research Ethics Committee (ref: 0212–2019), Uganda National Council for Science and Technology (SS 5273) and the University of Toronto (ref: 37981).
Data availability
The data underlying this article cannot be shared publicly due to the ethical need to protect the privacy of youth that participated in the study. The data will be shared on reasonable request to the corresponding author.
References
- 1. Wutich A, Brewis A, Tsai A. Water and mental health. Wiley Interdiscip Rev Water. 7. Epub ahead of print September 1, 2020. [Google Scholar]
- 2. Logie CH, Okumu M, Mwima Set al. Contextual factors associated with depression among urban refugee and displaced youth in Kampala, Uganda: findings from a cross-sectional study. Confl Health. 2020;14:45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. UNHCR . Global Trends in Forced Displacement. 2021, Publisher: United Nations High Commissioner for Refugees. Copenhagen, Denmark. [Google Scholar]
- 4. Cooper-Vince CE, Arachy H, Kakuhikire Bet al. Water insecurity and gendered risk for depression in rural Uganda: a hotspot analysis. BMC Public Health. 2018;18:1143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Logie CH, Okumu M, Lukone SOet al. Ngutulu Kagwero (agents of change): study design of a participatory comic pilot study on sexual violence prevention and post-rape clinical care with refugee youth in a humanitarian setting in Uganda. Glob Health Action. 14. Epub ahead of print2021. doi: 10.1080/16549716.2021.1940763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Shaghaghi A, Bhopal RS, Sheikh A. Approaches to recruiting ‘hard-to-reach’ populations into research: a review of the literature. Heal Promot Perspect. 2011;1:86–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Young SL, Boateng GO, Jamaluddine Zet al. The Household Water InSecurity Experiences (HWISE) Scale: development and validation of a household water insecurity measure for low-income and middle-income countries. BMJ Glob Heal. 2019;4:e001750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Sinclair VG, Wallston KA. The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment. 11. Epub ahead of print2004. doi: 10.1177/1073191103258144. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data underlying this article cannot be shared publicly due to the ethical need to protect the privacy of youth that participated in the study. The data will be shared on reasonable request to the corresponding author.