Validity of a Four-Item Household Water Insecurity Experiences Scale for Assessing Water Issues Related to Health and Well-Being

Estimating effects of monsoon flooding on household water access

The importance of climate in water resources management is well recognized, but less is known about how climate affects water access at the household level. Understanding this is crucial for identifying vulnerable households, reducing health and well-being risks, and finding equitable solutions. Using difference-in-differences regression analyses and relying on temporal variation in interview timing from multiple, cross-sectional surveys, we examine the effects of monsoon riverine flooding on household water access among 34 000 households in Bangladesh in 2011 and 2014. We compare water access, a combined measure of both water source and time for collection, among households living in flood-affected and non-flood-affected districts before and after monsoon flooding events. We find that households in monsoon flood-affected districts surveyed after the flooding had between 2.27 and 4.42 times higher odds of experiencing low water access. Separating geographically, we find that while households in coastal districts have lower water access than those in non-coastal districts, monsoon flood exposure is a stronger predictor of low water access in non-coastal districts. Non-coastal districts were particularly burdened in 2014, when households affected by monsoon flooding had 4.71 times higher odds of low water access. We also find that household wealth is a consistent predictor of household water access. Overall, our results show that monsoon flooding is associated with a higher prevalence of low water access; socioeconomically vulnerable households are especially burdened.

Predicting intention to vaccinate against COVID-19 in older Syrian refugees in Lebanon: Findings from a multi-wave study

BACKGROUND

COVID-19 vaccine acceptance among refugees in the Arab region remains low. This study aimed to examine the prevalence, reasons and predictors of intention to refuse the COVID-19 vaccine among older Syrian refugees in Lebanon.

METHODS

A nested cross-sectional study within a longitudinal study among older Syrian refugees in Lebanon. The sampling frame was a complete listing of beneficiary households of a humanitarian organization with at least one adult aged 50 years or older. Telephone surveys were completed at months 1 starting September 2020 (wave 1), months 2 (wave 2), months 5 (wave 3), months 6 (wave 4) and months 17 (wave 5) in March 2022. Logistic regression models were used to identify predictors of intention to refuse the COVID-19 vaccine. Models were internally validated using bootstrap methods and the models' calibration and discrimination were presented.

FINDINGS

Of 3167 Syrian refugees, 61.3% intended to receive the COVID-19 vaccine, 31.3% refused, and 7.4% were undecided. Reasons for vaccine refusal were: preference to follow preventive measures (27.4%) and belief that the vaccine is not essential (20.7%). Furthermore, 57.1% of participants registered to take the COVID-19 vaccine in wave 5. Irrespective of vaccination intention, reasons for not registering included: not wanting to receive the vaccine, and being unsure whether to take it. Predictors of intention to refuse the COVID-19 vaccine included: being a female, older age, having elementary education or above, living outside informal tented settlements, perceiving COVID-19 as not severe and vaccines as not safe or effective, and using social media for information on COVID-19. After adjusting for optimization, the final model showed moderate discrimination (C-statistic: 0.651 (95% CI:0.630-0.672)) and good calibration (C-slope: 0.93 (95% CI: 0.823-1.065)).

CONCLUSIONS

This study developed a predictive model for vaccination intention with a moderate discriminative ability and good calibration. Prediction models in humanitarian settings can help identify refugees at higher risk of not intending to receive the COVID-19 vaccine for public health targeting.

Risk factors for household food insecurity in the Eastern Caribbean Health Outcomes Research Network cohort study

Background

Globally, 1.3 billion people were considered food insecure as of 2022. In the Caribbean region, the prevalence of moderate or severe food insecurity was 71.3% as of 2020, the highest of all subregions in Latin America. Experienced based measurement scales, like the Latin American and Caribbean Food Security Scale, are efficient measurement tools of food insecurity used globally. The Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study is a population-based longitudinal cohort study in the two Caribbean U.S. territories of Puerto Rico and the U.S. Virgin Islands, as well as in Barbados and Trinidad & Tobago. The purpose of this research was to examine the demographic, psychosocial, behavioral, and environmental risk factors associated with household food insecurity (HFI) among adults ≥40 years of age in the ECHORN cohort.

Methods

A cross-sectional analysis of baseline ECHORN cohort study data was conducted. The primary outcome was household food insecurity (none, mild, moderate/severe). A total of 16 known and potential risk factors were examined for their association with HFI. The ANOVA and chi-square statistics were used in bivariate analysis. Ordinal logistic regression was used for the multivariable and sex stratified analyses.

Results

More than one-quarter of the sample (27.3%) experienced HFI. In bivariate analyses, all risk factors examined except for sex, were significantly associated with HFI status. In the multivariable analysis, all variables except sex, education, marital status, smoking status, and residing in Puerto Rico were significant predictors of HFI in the adjusted model. In sex stratified analysis, depression, food availability, self-rated physical health, and island site were significantly associated with increased odds of worsening HFI for women, but not for men. Source of potable water was an important risk factor for both men and women.

Discussion

The prevalence of HFI in the ECHORN cohort study is comparable to other studies conducted in the region. While women did not have an increased risk of HFI compared to men, a different set of risk factors affected their vulnerability to HFI. More research is needed to understand how water and food security are interrelated in the ECHORN cohort.

Climate distress, climate-sensitive risk factors, and mental health among Tanzanian youth: a cross-sectional study

BACKGROUND

Climate change threatens youth mental health through multiple mechanisms, yet empirical studies typically focus on single pathways. We explored feelings of distress over climate change among Tanzanian youth, considering associations with climate change awareness and climate-sensitive risk factors, and assessed how these factors relate to mental health.

METHODS

Tanzanian youth (aged 18-23 years) from a cluster randomised controlled trial in Mbeya and Iringa regions of Tanzania were interviewed between Jan 25, and March 3, 2021, and included in this cross-sectional study. A threshold of at least 10 on the ten-item Centre for Epidemiological Studies Depression Scale was used to classify symptom severity indicative of depression. Regardless of climate change awareness, respondents were asked about their feelings of distress on climate change using inclusive language (changing weather patterns or changing seasons). We estimated rate differences in climate change distress (slight or moderate or extreme vs none) by youth characteristics, extent of climate awareness, and climate-sensitive livelihoods (eg, agriculture, tending livestock) and climate-sensitive living conditions (eg, food or water insecurity), using generalised linear models. We compared depression prevalence by extent of climate change distress and climate-sensitive living conditions.

FINDINGS

Among 2053 youth (1123 [55%] were male and 930 [45%] were female) included in this analysis, 946 (46%) had reported any distress about climate change. Distress was higher among female, more educated, more religious, older youth, and those working in extreme temperatures. Adjusting for climate awareness-a factor strongly associated with climate distress-helped to explain some of these associations. Depression was 23 percentage points (95% CI 17-28) higher among youth who had severe water insecurity than those who did not. Similarly, youth who had severe food insecurity had 23 percentage points higher depression (95% CI 17-28) compared with those who did not. Those reporting climate change distress also had worse mental health-extremely distressed youth had 18 percentage points (95% CI 6-30) higher depression than those reporting none.

INTERPRETATION

Living in conditions worsened by climate change and feeling distressed over climate change have mental health implications among young people from low-resource settings, indicating that climate change can impact youth mental health through multiple pathways.

FUNDING

Erasmus Trustfonds, Centre for Global Health Inequalities Research, UK's Foreign, Commonwealth, and Development Office, Oak Foundation, UNICEF, UK's Department of International Development, the Swedish Development Cooperation Agency, Irish Aid.

A declaration on the value of experiential measures of food and water insecurity to improve science and policies in Latin America and the Caribbean

BACKGROUND

Water security is necessary for good health, nutrition, and wellbeing, but experiences with water have not typically been measured. Given that measurement of experiences with food access, use, acceptability, and reliability (stability) has greatly expanded our ability to promote food security, there is an urgent need to similarly improve the measurement of water security. The Water InSecurity Experiences (WISE) Scales show promise in doing so because they capture user-side experiences with water in a more holistic and precise way than traditional supply- side indicators. Early use of the WISE Scales in Latin American & the Caribbean (LAC) has revealed great promise, although representative data are lacking for most of the region. Concurrent measurement of experiential food and water insecurity has the potential to inform the development of better-targeted interventions that can advance human and planetary health.

MAIN TEXT

On April 20-21, 2023, policymakers, community organizers, and researchers convened at Universidad Iberoamericana in Mexico City to discuss lessons learned from using experiential measures of food and water insecurity in LAC. At the meeting's close, organizers read a Declaration that incorporated key meeting messages. The Declaration recognizes the magnitude and severity of the water crisis in the region as well as globally. It acknowledges that traditional measurement tools do not capture many salient water access, use, and reliability challenges. It recognizes that the WISE Scales have the potential to assess the magnitude of water insecurity more comprehensively and accurately at community, state, and national levels, as well as its (inequitable) relationship with poverty, poor health. As such, WISE data can play an important role in ensuring more accountability and strengthening water systems governance through improved public policies and programs. Declaration signatories express their willingness to promote the widespread use of the WISE Scales to understand the prevalence of water insecurity, guide investment decisions, measure the impacts of interventions and natural shocks, and improve public health.

CONCLUSIONS

Fifty-three attendees endorsed the Declaration - available in English, Spanish and Portuguese- as an important step to making progress towards Sustainable Development Goal 6, "Clean Water and Sanitation for All", and towards the realization of the human right to water.

Exploring the nexus of water insecurity and psychological distress in Windhoek's informal settlements, Namibia

Water insecurity has long been a pressing issue, particularly in the informal settlements of Windhoek. The current study aims to investigate the relationship between water insecurity and residents' psychological distress in Windhoek's informal settlements. The study draws upon secondary data collected by Future Resilience for African Cities and Lands in 2017. Confirmatory factor analysis was used to establish the relationship between water insecurity, psychological distress, and three manifest variables (source of income, housing type, and household structure). The study findings revealed a positive association between housing type and psychological distress (β = 0.056, p < 0.001). Household structure was negatively associated with psychological distress (β = -0.035, p < 0.001) and water insecurity (β = -0.054, p < 0.001). In addition, a positive association (β = 0.595, p < 0.001) was found between water insecurity and psychological distress, suggesting that water scarcity negatively impacts residents' mental well-being. The study highlights the need to address the issue of water insecurity in informal settlements across Windhoek. This can be achieved by setting measures to make water and essential sanitation services more accessible and affordable to residents in these communities. Such approaches would help mitigate the effect of water insecurity on the psychological distress of persons living in informal settlements and create more resilient and sustainable settlements.

Frontiers of household water insecurity metrics: severity, adaptation and resilience

The measurement of household-level and individual-level water insecurity has accelerated over the past 5 years through innovation and dissemination of new survey-based experiential psychometric scales modelled after food insecurity scales. These measures offer needed insight into the relative frequency of various dimensions of water problems experienced by households or individuals. But they currently tell us nothing about the severity of these experiences, mitigating behaviours (ie, adaptation) or the effectiveness of water-related behaviours (ie, resilience). Given the magnitude of the global challenge to provide water security for all, we propose a low-cost, theoretically grounded modification to common water insecurity metrics in order to capture information about severity, adaptation and resilience. We also discuss ongoing challenges in cost-effective measurement related to multidimensionality, water affordability and perception of water quality for maximising the impact and sustainability of water supply interventions. The next generation of water insecurity metrics promises better monitoring and evaluation tools-particularly in the context of rapid global environmental change-once scale reliability across diverse contexts is better characterised.

Joint Food and Water Insecurity Had a Multiplicative Effect on Women's Depression in Urban Informal Settlements in Makassar, Indonesia during the COVID-19 Pandemic

BACKGROUND

Women living in urban informal settlements may be particularly vulnerable to the detrimental effects of the COVID-19 pandemic because of increased economic and psychosocial stressors in resource-limited environments.

OBJECTIVES

The objective of this study was to assess the associations between food and water insecurity during the pandemic and depression among women living in the urban informal settlements in Makassar, Indonesia.

METHODS

We implemented surveys at 3 time points among women enrolled in the Revitalizing Informal Settlements and their Environments trial. Depression was measured using the Center for Epidemiologic Studies Depression Scale-10 (CESD-10) between November and December 2019 and again between February and March 2021. Food insecurity was measured using questions from the Innovation for Poverty Action's Research for Effective COVID-19 Reponses survey and water insecurity was measured using the Household Water Insecurity Experiences Short Form. Both were measured between August and September 2020. We built 3 multivariate quantile linear regression models to assess the effects of water insecurity, food insecurity, and joint food and water insecurity during the COVID-19 pandemic on CESD-10 score.

RESULTS

In models with the full sample (n = 323), food insecurity (β: 1.48; 95% CI: 0.79, 2.17), water insecurity (β: 0.13; 95% CI: -0.01, 0.26), and joint food and water insecurity (β: 2.40; 95% CI: 1.43, 3.38) were positively associated with CESD-10 score. In subgroup analyses of respondents for whom we had prepandemic CESD-10 scores (n = 221), joint food and water insecurity (β: 1.96; 95% CI: 0.78, 3.15) maintained the strongest relationship with CESD-10 score. A limitation of this study is that inconsistency in respondents from households across the survey waves reduced the sample size used for this study.

CONCLUSIONS

Our results find a larger association between depression and joint resource insecurity than with water or food insecurity alone, underlining the importance of addressing food and water insecurity together, particularly as they relate to women's mental health and well-being.

Tap Water Avoidance Is Associated with Lower Food Security in the United States: Evidence from NHANES 2005-2018

BACKGROUND

Food insecurity has profound nutritional and public health consequences. Water insecurity may exacerbate food insecurity, yet little is known about the association between water and food insecurity in the United States or other high-income countries.

OBJECTIVE

This study aimed to estimate how tap water avoidance, a proxy of water insecurity, covaries with food insecurity; examine how the probability of food insecurity changed by tap water avoidance between 2005 and 2018; and test how the association between tap water avoidance and food insecurity differed across income and housing statuses.

DESIGN

This was a secondary analysis of the cross-sectional 2005-2018 National Health and Nutrition Examination Survey.

PARTICIPANTS/SETTING

Participants were 31,390 US adults 20 years and older.

MAIN OUTCOME MEASURES

The main outcome was food insecurity, using the US Food Security Survey Module.

STATISTICAL ANALYSES

Adjusted logistic regression models estimated how tap water avoidance was associated with the odds of food insecurity. Predicted probabilities of food insecurity over time and by income and housing status were plotted using marginal standardization.

RESULTS

Adults who avoided tap water had 21% higher odds (95% CI 1.09 to 1.34) of food insecurity compared with those who drank tap water. The probability of any food insecurity doubled between 2005-2006 and 2017-2018 and was consistently higher for tap water avoiders. Food insecurity decreased across both tap water drinkers and avoiders as income increased, but was higher among tap water avoiders at all income levels. Likewise, food insecurity was higher among renters than among homeowners but was higher among tap water avoiders in both housing groups.

CONCLUSIONS

Tap water avoidance is positively associated with food insecurity in the United States, and both insecurities have increased over time. Efforts to mitigate food insecurity should simultaneously address water insecurity issues, including tap water availability and quality, as these may be a modifiable contributors to food insecurity.

Using water-adjusted person years to quantify the value of being water secure for an individual's quality of life

Domestic water insecurity harms quality of life outcomes beyond health, for example in worry about water availability or anger at disrupted plans. However, these outcomes are excluded from cost-benefit analyses of water supply interventions, which typically measure and value only prevented disease and time savings. In this paper, I propose a means of quantifying the value of being water secure for an individual's quality of life, the water-adjusted person year (WAPY). One WAPY represents a year lived in complete water security. It is inspired by the quality-adjusted life year in health economics, which combines time with a health-related quality of life index. The WAPY combines time using water services with a water-related quality of life (WaterQoL) index, where 0 = completely water insecure and 1 = completely water secure. The index could be derived from an existing four-attribute Water Insecurity Experiences scale, which includes questions such as "how often did you worry that you would not have enough water for all of your needs?". Other questions concern drinking water, disrupted plans, and handwashing. Responses can be combined in a weighted index based on the relative importance of the four attributes to people. If someone has a WaterQoL index of 0.6, over a 10 year period they would have 6 WAPYs. If a water supply intervention raised WaterQoL to 0.8, they would gain 2 WAPYs over 10 years. The monetary value of WAPYs gained (e.g. in US$) could be estimated by willingness to pay and included in a cost-benefit analysis. Some interventions might result in greater WaterQoL gains than others, or longer-lasting services. Incorporating WAPYs in cost-benefit analyses, alongside prevented disease and time savings, could help identify interventions which provide better water services to more people within a given budget.

Development of a Prediction Model for the Management of Noncommunicable Diseases Among Older Syrian Refugees Amidst the COVID-19 Pandemic in Lebanon

IMPORTANCE

Older Syrian refugees have a high burden of noncommunicable diseases (NCDs) and economic vulnerability.

OBJECTIVES

To develop and internally validate a predictive model to estimate inability to manage NCDs in older Syrian refugees, and to describe barriers to NCD medication adherence.

DESIGN, SETTING, AND PARTICIPANTS

This nested prognostic cross-sectional study was conducted through telephone surveys between September 2020 and January 2021. All households in Lebanon with Syrian refugees aged 50 years or older and who received humanitarian assistance from a nongovernmental organization were invited to participate. Refugees who self-reported having chronic respiratory disease (CRD), diabetes, history of cardiovascular disease (CVD), or hypertension were included in the analysis. Data were analyzed from November 2021 to March 2022.

MAIN OUTCOMES AND MEASURES

The main outcome was self-reported inability to manage any NCD (including CRD, CVD, diabetes, or hypertension). Predictors of inability to manage any NCD were assessed using logistic regression models. The model was internally validated using bootstrapping techniques, which gave an estimate of optimism. The optimism-adjusted discrimination is presented using the C statistic, and calibration of the model is presented using calibration slope (C slope).

RESULTS

Of 3322 older Syrian refugees, 1893 individuals (median [IQR] age, 59 [54-65] years; 1089 [57.5%] women) reported having at least 1 NCD, among whom 351 (10.6% overall; 18.6% of those with ≥1 NCD) had CRD, 781 (23.7% overall; 41.4% of those with ≥1 NCD) had diabetes, 794 (24.1% overall; 42.2% of those with ≥1 NCD) had history of CVD, and 1388 (42.3% overall; 73.6% of those with ≥1 NCD) had hypertension. Among individuals with NCDs, 387 participants (20.4%) were unable to manage at least 1 of their NCDs. Predictors for inability to manage NCDs were age, nonreceipt of cash assistance, household water insecurity, household food insecurity, and having multiple chronic diseases, with an adjusted C statistic of 0.650 (95% CI, 0.620-0.676) and C slope of 0.871 (95% CI, 0.729-1.023). The prevalence of nonadherence to medication was 9.2%, and the main reasons for nonadherence were unaffordability of medication (40.8%; 95% CI, 33.4%-48.5%) and the belief that they no longer required the medication after feeling better (22.4%; 95% CI, 16.4%-29.3%).

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, the predictors of inability to manage NCDs among older Syrian refugees in Lebanon were mainly related to financial barriers. Context-appropriate assistance is required to overcome financial barriers and enable equitable access to medication and health care.

Inequality of household water security follows a Development Kuznets Curve

Water security requires not only sufficient availability of and access to safe and acceptable quality for domestic uses, but also fair distribution within and across populations. However, a key research gap remains in understanding water security inequality and its dynamics, which in turn creates an impediment to tracking progress towards sustainable development. Therefore, we analyse the inequality of water security using data from 7603 households across 28 sites in 22 low- and middle-income countries, measured using the Household Water Insecurity Experiences Scale. Here we show an inverted-U shaped relationship between site water security and inequality of household water security. This Kuznets-like curve suggests a process that as water security grows, the inequality of water security first increases then decreases. This research extends the Kuznets curve applications and introduces the Development Kuznets Curve concept. Its practical implications support building water security and achieving more fair, inclusive, and sustainable development.

Using Water Intake Dietary Recall Data to Provide a Window into US Water Insecurity

BACKGROUND

In the United States, problems with the provision of safe, affordable water have resulted in an increasing number of adults who avoid their tap water, which could indicate underlying water insecurity. Dietary recalls provide critical nutritional surveillance data, yet have been underexplored as a water insecurity monitoring tool.

OBJECTIVES

This article aims to demonstrate how water intake variables from dietary recall data relate to and predict a key water insecurity proxy, that is, tap water avoidance.

METHODS

Using 2005-2018 NHANES data from 32,329 adults, I examine distributions and trends of mean intakes of total, plain (sum of tap and bottled water), tap, and bottled water, and percentage consuming no tap and exclusive bottled water. Second, I use multiple linear and logistic regressions to test how tap water avoidance relates to plain water intake and sugar-sweetened beverage (SSB) consumption. Next, I use receiver operating characteristics (ROC) curves to test the predictive accuracy of no plain water, no tap, and exclusive bottled water intake, and varying percentages of plain water consumed from tap water compared with tap water avoidance.

RESULTS

Trends indicate increasing plain water intake between 2005 and 2018, driven by increasing bottled water intake. In 2017-18, 51.4% of adults did not drink tap water on a given day, whereas 35.8% exclusively consumed bottled water. Adults who avoided their tap water consumed less tap and plain water, and significantly more bottled water and SSBs on a given day. No tap intake and categories of tap water intake produced 77% and 78% areas under the ROC curve in predicting tap water avoidance.

CONCLUSIONS

This study demonstrates that water intake variables from dietary recalls can be used to accurately predict tap water avoidance and provide a window into water insecurity. Growing reliance on bottled water could indicate increasing concerns about tap water.

Measurement invariance of a household water insecurity metric in Greater Accra, Ghana: Implications for test-retest reliability

The mitigation of household water insecurity is recognized as an important component of global poverty alleviation, but until recently was difficult to measure. Several new metrics of household water insecurity have been proposed and validated, but few have been field-tested for reliability in diverse contexts. We used confirmatory factor analysis to test the psychometric equivalence of one such metric-the Household Water Insecurity Experiences (HWISE) scale-across two survey waves administered 18 months apart in similar climatic conditions among households in a peri-urban community outside of Accra, Ghana. The HWISE metric was not equivalent across survey waves, which may be attributable to the metric itself, sample size, subtle instrumentation changes, or other unobserved factors. Test-retest reliability may also be difficult to achieve given the dynamic nature of household water use, and we discuss the implications of using household water insecurity metrics as longitudinal measures of well-being in global anti-poverty programs.

The embodiment of water insecurity: Injuries and chronic stress in lowland Bolivia

Water is critical to health and wellbeing. Studies have theorized that problems with water can become embodied, yet few studies have quantified this. Therefore, we first sought to understand the lowland Bolivian water environment of Tsimane' forager-horticulturalists. We assessed the water environment holistically, using objective measures of water quality and water services (Joint Monitoring Programme's drinking water services ladder) and subjective measures, including perceived water safety and water insecurity experiences [Household Water Insecurity Experiences Scale (HWISE)]. We tested how water service levels, perceived water safety, and water fetching frequency were associated with HWISE scores using Tobit regression models among 270 households. We then tested if and how water becomes embodied via self-reported water-related injury and a chronic stress biomarker, hair cortisol concentration (HCC). Results demonstrated that, compared with households using surface water, households with basic water services had HWISE scores 1.59-pts lower (SE = 0.29; P < 0.001). Ingestion of water perceived to be "bad" and more daily water-fetching trips were associated with higher HWISE scores. Twenty percent of households reported prior water-related injuries, with women most commonly injured. In logistic regressions, each point higher HWISE score was associated with 28% (95%CI:1.16-1.41; P < 0.001) higher odds of injury. Basic water services compared to surface water was associated with 48% lower odds (OR = 0.52; 95%CI:0.33-0.82; P = 0.005) of injury. Finally, using linear regressions among 332 adults, HWISE scores were not associated with HCC. Past water-related injury was associated with higher HCC (Beta = 0.31; SE = 0.09; P = 0.029) among women, but not men. Relying on unimproved water services compared to surface was associated with 46.2% higher HCC for women (Beta=0.38; SE=0.14; P=0.048) and 55.3% higher HCC for men (Beta=0.44; SE=0.15; P=0.044), respectively. Overall, our findings demonstrate that water insecurity can become embodied through water-related injuries and elevated HCC. Improving water service levels through an equity lens may help ameliorate water insecurity and its accompanying negative health effects.

Water Security and Nutrition: Current Knowledge and Research Opportunities

Water is an essential nutrient that has primarily been considered in terms of its physiological necessity. But reliable access to water in sufficient quantities and quality is also critical for many nutrition-related behaviors and activities, including growing and cooking diverse foods. Given growing challenges to water availability and safety, including climate change, pollution, and infrastructure degradation, a broader conceptualization of water and its diverse uses is needed to sustainably achieve global nutrition targets. Therefore, we review empirical and qualitative evidence describing the linkages between water security (the reliable availability, accessibility, and quality of water for all household uses) and nutrition. Primary linkages include water security for drinking, food production and preparation, infant and young child feeding, and limiting exposure to pathogens and environmental toxins. We then identify knowledge gaps within each linkage and propose a research agenda for studying water security and nutrition going forward, including the concurrent quantification of both food and water availability, accessibility, use, and stability. By making explicit the connections between water security and nutritional well-being, we aim to promote greater collaboration between the nutrition and water, sanitation, and hygiene sectors. Interdisciplinary policies and programs that holistically address the water-nutrition nexus, versus those that focus on water and nutrition independently, are likely to significantly advance our ability to ensure equitable access to healthy foods and safe water for all.

The Individual Water Insecurity Experiences (IWISE) Scale: reliability, equivalence and validity of an individual-level measure of water security

Objective

The lack of a validated and cross-culturally equivalent scale for measuring individual-level water insecurity has prevented identification of those most vulnerable to it. Therefore, we developed the 12-item Individual Water InSecurity Experiences (IWISE) Scale to comparably measure individual experiences with access, use, and stability (reliability) of water. Here, we examine the reliability, cross-country equivalence, and cross-country and within-country validity of the scale in a cross-sectional sample.

Methods

IWISE items were implemented by the Gallup World Poll among nationally representative samples of 43 970 adults (>15 y) in 31 low-income and middle-income countries (LMICs). Internal consistency was assessed with Cronbach’s alpha. Equivalence was tested using multigroup confirmatory factor analysis (MGCFA), the alignment method, and item response theory. Cross-country validity was assessed by regressing mean national IWISE scores on measures of economic, social, and water infrastructure development. Within-country validity was tested with logistic regression models of dissatisfaction with local water quality by IWISE score and regressing individual IWISE scores on per capita household income and difficulty getting by on current income.

Findings

Internal consistency was high; Cronbach’s alpha was ≥0.89 in all countries. Goodness-of-fit statistics from MGCFA, the proportion of equivalent item thresholds and loadings in the alignment models, and Rasch output indicated equivalence across countries. Validity across countries was also established; country mean IWISE scores were negatively associated with gross domestic product and percentage of the population with access to basic water services, but positively associated with fertility rate. Validity within countries was also demonstrated; individuals’ IWISE scores were positively associated with greater odds of dissatisfaction with water quality and negatively associated with lower financial standing.

Conclusions

The IWISE Scale provides an equivalent measure of individual experiences with water access and use across LMICs. It will be useful for establishing and tracking changes in the prevalence of water insecurity and identifying groups who have been ‘left behind’.

Diverse Health, Gender and Economic Impacts from Domestic Transport of Water and Solid Fuel: A Systematic Review

(1) Background: Water and solid fuel collection and transport are domestic duties for millions of households across the globe. People in areas with limited or no access to safely managed sources of water and household energy must fetch these resources on a frequent basis. The health, gender, and economic impacts associated with water and solid fuel collection labor have not been systematically reviewed. (2) Methods: Studies were identified through database searches and included using a list of inclusion and exclusion criteria. Studies were summarized and grouped into one of eight thematic categories. (4) Conclusions: The findings suggest that a diverse and heavy health burden is associated with water and solid fuel collection and transport. The literature also suggests that the provision of safely managed and accessible water and improved fuel options can mitigate these negative outcomes. Filling research gaps and utilizing results to guide policy and funding would likely be an effective way to ensure low- and middle-income countries are not left behind as the world strives to meet the sustainable development goals.

Perspective: The Importance of Water Security for Ensuring Food Security, Good Nutrition, and Well-being

Water security is a powerful concept that is still in its early days in the field of nutrition. Given the prevalence and severity of water issues and the many interconnections between water and nutrition, we argue that water security deserves attention commensurate with its importance to human nutrition and health. To this end, we first give a brief introduction to water insecurity and discuss its conceptualization in terms of availability, access, use, and stability. We then lay out the empirical grounding for its assessment. Parallels to the food-security literature are drawn throughout, both because the concepts are analogous and food security is familiar to the nutrition community. Specifically, we review the evolution of scales to measure water and food security and compare select characteristics. We then review the burgeoning evidence for the causes and consequences of water insecurity and conclude with 4 recommendations: 1) collect more water-insecurity data (i.e., on prevalence, causes, consequences, and intervention impacts); 2) collect better data on water insecurity (i.e., measure it concurrently with food security and other nutritional indicators, measure intrahousehold variation, and establish baseline indicators of both water and nutrition before interventions are implemented); 3) consider food and water issues jointly in policy and practice (e.g., establish linkages and possibilities for joint interventions, recognize the environmental footprint of nutritional guidelines, strengthen the nutrition sensitivity of water-management practices, and use experience-based scales for improving governance and regulation across food and water systems); and 4) make findings easily available so that they can be used by the media, community organizations, and other scientists for advocacy and in governance (e.g., tracking progress towards development goals and holding implementers accountable). As recognition of the importance of water security grows, we hope that so too will the prioritization of water in nutrition research, funding, and policy.

Food Insecurity and Water Insecurity in Rural Zimbabwe: Development of Multidimensional Household Measures

Background: With millions of people experiencing malnutrition and inadequate water access, FI and WI remain topics of vital importance to global health. Existing unidimensional FI and WI metrics do not all capture similar multidimensional aspects, thus restricting our ability to assess and address food- and water-related issues. Methods: Using the Sanitation, Hygiene and Infant Nutrition Efficacy (SHINE) trial data, our study conceptualizes household FI (N = 3551) and WI (N = 3311) separately in a way that captures their key dimensions. We developed measures of FI and WI for rural Zimbabwean households based on multiple correspondence analysis (MCA) for categorical data. Results: Three FI dimensions were retained: 'poor food access', 'household shocks' and 'low food quality and availability', as were three WI dimensions: 'poor water access', 'poor water quality', and 'low water reliability'. Internal validity of the multidimensional models was assessed using confirmatory factor analysis (CFA) with test samples at baseline and 18 months. The dimension scores were associated with a group of exogenous variables (SES, HIV-status, season, depression, perceived health, food aid, water collection), additionally indicating predictive, convergent and discriminant validities. Conclusions: FI and WI dimensions are sufficiently distinct to be characterized via separate indicators. These indicators are critical for identifying specific problematic insecurity aspects and for finding new targets to improve health and nutrition interventions.

Household Water and Food Insecurity Are Positively Associated with Poor Mental and Physical Health among Adults Living with HIV in Western Kenya

BACKGROUND

Household food insecurity (FI) and water insecurity (WI) are prevalent public health issues that can co-occur. Few studies have concurrently assessed their associations with health outcomes, particularly among people living with HIV.

OBJECTIVES

We aimed to investigate the associations between FI and WI and how they relate to physical and mental health.

METHODS

Food-insecure adult smallholder farmers living with HIV in western Kenya were recruited to participate in a cluster-randomized controlled trial of a multisectoral agricultural and asset loan intervention. We used baseline data on experiences of FI (using the Household Food Insecurity Access Scale, range: 0-27) and WI (using a modified scale developed for this region, range: 0-51) in the prior month (n = 716). Outcomes included probable depression (using the Hopkins Symptom Checklist), fatigue and diarrhea in the prior month, and overall mental and physical health (using the Medical Outcomes Study HIV Health Survey, range: 0-100). We first assessed Pearson correlations between FI, WI, and sociodemographic characteristics. We then developed 3 regressions for each health outcome (control variables and FI; control variables and WI; control variables, FI, and WI) and compared model fit indexes.

RESULTS

Correlations between household FI, WI, and wealth were low, meaning they measure distinct constructs. FI and WI were associated with numerous physical and mental health outcomes; accounting for both resource insecurities typically provided the best model fit. For instance, when controlling for FI, each 10-point higher WI score was associated with a 6.42-point lower physical health score (P < 0.001) and 2.92 times greater odds of probable depression (P < 0.001).

CONCLUSIONS

Assessing both FI and WI is important for correctly estimating their relation with health outcomes. Interventions that address food- and water-related issues among persons living with HIV concurrently will likely be more effective at improving health than those addressing a single resource insecurity. This trial was registered at clinicaltrials.gov as NCT02815579.