Water and food insecurity & quality of life for deaf Nigerians: A community-based cross sectional study

BackgroundWomen 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. ObjectivesThe 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. MethodsWe 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. ResultsIn 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. ConclusionsOur 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.

Mental Distress and Resource Insecurity in the Kingdom of Tonga After the 2022 Volcanic Eruption: Associations of Water and Food Insecurity With Mental Distress.

Household Water Insecurity Is Positively Associated With Household Food Insecurity in Low- and Middle-Income Countries

Drinking water access and water and food insecurity have been linked to mental well-being, but few studies have comprehensively assessed potential pathways linking these associations. Understanding these mediation pathways is particularly important among pregnant women, as prenatal stress and poor mental well-being have been shown to negatively impact fetal development. In this study, we address this gap by analyzing the relationships between drinking water source and water and food insecurity with mental well-being amongst pregnant women living in low-income, urban neighborhoods of Beira, Mozambique. Data for this cross-sectional analysis were collected among third-trimester, pregnant women (n=740) from February 2021 through October 2022 as part of a matched cohort study. Validated, cross-cultural measures of mental well-being and household water and food insecurity were administered in the survey. Drinking water source was determined by presence of a household drinking water source on-premises. We used logistic regression to characterize the associations between drinking water source, water and food insecurity, and mental well-being and causal mediation analysis to determine mediation by food and water insecurity along these pathways. We found evidence that water insecurity (OR 1.44; 95%CI 1.02, 2.02) and food insecurity (OR 2.27; 95%CI 1.57, 3.34) were individually associated with adverse mental well-being. Drinking water source was not associated with mental well-being (OR 1.00; 95%CI 0.71, 1.39), water insecurity (OR 0.86; 95%CI 0.60, 1.24), or food insecurity (OR 1.02; 95%CI 0.71, 1.47). Food insecurity may also mediate the relationship between water insecurity and mental well-being (ACME 0.05; 95%CI 0.02, 0.07; ADE 0.04; 95%CI -0.04, 0.13). Our findings support growing literature that water and food insecurity are important to mental well-being, a key aspect of overall health. Further research is needed to confirm causality along these pathways and determine specific mechanisms through which these interactions take place.

Food and water insecurity are associated with poor health outcomes that may be exacerbated by social marginalization and barriers to health care experienced by sexual and gender minorities (SGM) in resource-limited settings. We explored factors associated with food and water insecurity in SGM with HIV. A longitudinal study of 357 men who have sex with men, transgender women, and other gender-identifying people in Lagos, Nigeria. Laboratory testing, interviews, food and water assessments, and anthropometry were performed quarterly. Robust Poisson regression with generalized estimating equations was used to evaluate factors potentially associated with food and water insecurity. From 2014 to 2018, 357 SGM with HIV completed either the food or water assessments. At baseline, participants identified as cisgender men who have sex with men 265 (74.2%), transgender women 63 (17.7%), or as nonbinary/other gender 29 (8.1%). Food insecurity and water insecurity were reported by 63/344(18.3%) and 113/357(31.7%), respectively, at any visit. Food and water insecurity each decreased with ongoing study participation. Food insecurity was associated with nonpartnered relationship status, CD4 count <500 cells/mm 3 , and lack of access to piped water. Water insecurity was associated with age 25 years or older, living with a man, transactional sex, and food insecurity. Food and water insecurity were common among SGM in Nigeria and decreased with continued study participation, suggesting amenability to intervention when SGM are successfully engaged in care. Targeted interventions to support food and water security may improve HIV-related outcomes, such as CD4 count.

Food and water security are essential components for Panama’s advancement toward the Sustainable Development Goals. This study aimed to quantify the prevalence of household food insecurity and water insecurity, and to explore the association between them using standardized measurement tools. A cross-sectional survey was conducted between January and June 2024 using an online questionnaire administered via Google Forms. The survey collected sociodemographic data and applied the Food Insecurity Experience Scale (FIES) and the Household Water Insecurity Experiences (HWISE) scale to assess water and food insecurity, respectively. A total of 222 adult household heads were included (66.2% female), with a median age of 31.4 years. The prevalence of moderate and severe food insecurity was 29.7% (95% CI: 24.8–34.6%) and 6.1% severe food insecurity (95% CI: 3.7–8.4%), while water insecurity affected 27% of households (10.4% high; 16.7% moderate). Multiple linear regression showed that moderate to severe food insecurity was significantly associated with water insecurity (β = 0.19; 95% CI: 0.08–0.31) and lower income levels. Specifically, food insecurity was associated with households reporting no income (β = 0.25; 95% CI: 0.05–0.44) and those with monthly income between 501 and 1000 USD (β = 0.11; 95% CI: 0.01–0.22), compared to households with income above 1000 USD. The results suggest that food insecurity is significantly associated with water insecurity, supporting the need for integrated approaches in public policy to address basic resource access in vulnerable populations.

The COVID-19 pandemic has increased the risk of global public health and has the potential to cause severe food and water insecurity due to economic recession during lockdown for people living in low-middle income countries like Bangladesh where capital resources are scarce. There is growing evidence that household food and water insecurity has been associated with poor psychological outcomes. The objective of this study was to determine the association between household food and water insecurity with mental health and whether these differed among urban-rural households. A cross-sectional online survey was conducted with 545 participants immediately after the COVID-19 lockdown period in Bangladesh (August 1-September 30, 2020). Household food and water security were determined using a 9-item Household Food Insecurity Access Scale (HFIAS) (score range 0-27) and a 12-item Household Water Insecurity Experiences (HWISE) scale (score range 0-36), respectively. The Perceived Stress Scale (PSS) was used to evaluate mental health. Multivariable logistic regression examined the association between household food and water insecurity with perceived stress, adjusting socioeconomic characteristics. An urban-rural stratified analysis was also performed. About 72.84% (397) respondents reported high stress and more than 70% of households suffered from food and water insecurity during the lockdown period. After adjusting covariates, logistic regression model results show that food insecurity was associated with a 1.07-point increase in high perceived stress (OR=1.07, 95% CI=1.01-1.11, p<0.01) while water insecurity was associated with 1.03 times greater odds of high perceived stress (OR=1.03, 95% CI=0.93-1.23, p<0.05). In stratified analysis, only food insecurity was associated with high perceived stress in the urban household (OR=1.08, 95% CI=1.00-1.11, p<0.05). However, none of the household insecurity was associated with perceived stress in rural households. Interventions that promote equal access to resources for low-income individuals will likely to be more effective to alleviate economic burden of pandemic.

Testing the theoretical similarities between food and water insecurity: Buffering hypothesis and effects on mental wellbeing

BackgroundFood security occurs when all people have physical, social, and economic access to sufficient, safe, and nutritious food that fits their dietary needs and food preferences for an active and healthy life at all times. There is limited evidence on this topic and not well studied in Ethiopia.ObjectiveThis study aimed to investigate food insecurity and hunger status among households (HHs) in Debre Berhan town, Ethiopia.MethodsA community-based cross-sectional study was undertaken from 1 January 2017 to 30 January 2017. A simple random sampling technique was used to enroll 395 HHs for the study. An interviewer-administered, structured, and pretested questionnaire was used to collect data through a face-to-face interview. The household food security and hunger status were assessed by using the Household Food Insecurity Access Scale and the Household Hunger Scale, respectively. Data were entered and cleaned using Epiata 3.1 and exported to SPSS software version 20 for statistical analysis. Logistic regression was fitted, and an odds ratio with a 95% confidence interval (CI) and a value of p of less than 0.05 were used to identify factors associated with food insecurity.ResultsA total of 377 HHs participated in the study with a response rate of 95.4%. The proportion of households with food insecurity was 32.4%, among which mild, moderate, and severe food insecurity accounted for 10.3, 18.8, and 3.2%, respectively. The mean score of the Household Food Insecurity Access Scale was 1.88 ± 3.5. Hunger occurred among 3.2% of households. The mean score of the Household Hunger Scale was 2.17 ± 1.03. Husband or male cohabitant’s occupation (AOR = 2.68; 95% CI: 1.31–5.48) and wife or female cohabitant’s literacy (AOR = 3.10; 95% CI: 1.01– 9.55) were the only factors associated with HH food insecurity.ConclusionHH food insecurity and hunger in Debre Berhan town were unacceptably high, which can hamper achieving national targets for food security, nutrition, and health. Intensified efforts are further needed to accelerate the decline in food insecurity and hunger prevalence. Therefore, interventions need to target self-employed merchants in small businesses and women who are uneducated.

Mental health, water, and food: Relationships between water and food insecurity and probable depression amongst adults in Mexico

IntroductionHousehold food insecurity and inadequate water, sanitation, and hygiene (WASH) contribute to ill health. However, the interactions between household food insecurity, WASH and health have been rarely assessed concurrently. This study investigated compounded impacts of household food insecurity and WASH on self-reported physical and mental health of adults in the Vietnamese Mekong Delta.Materials and methodsThis cross-sectional survey interviewed 552 households in one northern and one southern province of the Vietnamese Mekong Delta. The survey incorporated previously validated tools such as the Short Form 12-item Health Survey, Household Food Insecurity Assessment Scale, and the Access and Behavioural Outcome Indicators for Water, Sanitation, and Hygiene. Physical and mental health were quantified using the physical health composite score (PCS) and mental health composite score (MCS), respectively. These measures were the dependent variables of interest for this study.ResultsStatistical analysis revealed that household food insecurity and using <50 litres of water per person per day (pppd) were independently associated with lower PCS (p<0.05), after adjusting for socio-economic confounders. Household food insecurity and lack of food availability, using <50 litres of water pppd, and the use of untreated drinking water were associated with lower MCS (p<0.05), with water usage being an effect modifier of the relationship between household food insecurity and MCS. The results indicate that being food insecure and having limited potable quality water had a compounding effect on MCS, compared to being individually either food insecure or having limited water.ConclusionThis study is one of only a few that have established a link between potable water availability, food insecurity and poorer physical and mental health. The results also indicate a need to validate national data with fine-scale investigations in less populous regions to evaluate national initiatives with local populations that may be at higher risk. Adopting joint dual-action policies for interventions that simultaneously address water and food insecurity should result in larger improvements in health, particularly mental health, compared to targeting either food or water insecurity in isolation.

Food insecurity remains a common problem for Southeast Asian communities that specialise in fishing. Food insecurity is closely linked to other social conditions, and the linkages between these social conditions and their underlying drivers are less well explored in fishing contexts than they are in agricultural contexts. In this paper I draw on fieldwork from a community that specialises in fishing in the Western Philippines to examine the linkages between and drivers of food and water insecurity. Food insecurity is common, and characterised by a lack of funds to buy food, particularly during periods of bad weather. Water insecurity is also characterised by the need to pay for the delivery of drinking water from one of several remote sources. Because of the central role of markets in communities that specialise in fishing, I argue that both food and water insecurity are driven by income poverty. Understanding the relations between food and water insecurity and the wider drivers of poverty in specialised fishing community contexts should generate improved understandings of how food and water insecurity persist, and how these conditions may be better addressed.

IntroductionLactating mothers are extremely vulnerable to both macro and micronutrient deficiencies due to the increased nutritional requirements and high magnitude of food insecurity in low-income countries. However, there are a dearth of studies conducted in sub-Saharan African countries regarding this study area. Thus, this study aimed to assess the magnitude of food insecurity and its associated factors among lactating mothers in the Chiro district, eastern Ethiopia.MethodsA community-based cross-sectional study was conducted among 446 randomly selected lactating mothers from 1–30 June, 2020. Data were collected through face-to-face interviews using a structured and pre-tested questionnaire. Data were entered using EpiData version 3.1 and exported to STATA version 14.2 for cleaning and analysis. Bi-variable and multivariable binary logistic regression analyses were fitted to check the association between independent variables and food insecurity. The level of statistical significance was declared at a p-value < 0.05.ResultsThe magnitude of food insecurity among lactating mothers was 68.8 % (95 % CI: 64.4, 72.9) and 12.1% (95 % CI: 9.4, 15.5) were severely food insecure. Residing in the rural (AOR =2.36, 95% CI:1.21, 4.62), poor wealth indices (AOR =4.68, 95% CI:2.02, 10.8), owning farmland of less than a hectare (AOR =2.35, 95% CI:1.06, 5.19), mothers who had less than three meals a day (AOR =2.70, 95% CI:1.33, 5.46), and who did not have their own income (AOR =2.32, 95% CI:1.36, 3.96) were significantly associated factors with food insecurity among lactating mothers.ConclusionFood insecurity is highly prevalent in lactating mothers' households. Therefore, the government and other stakeholders need to take action that addresses factors affecting mothers' food security status through strengthening nutrition-sensitive interventions.

Background:Malnutrition is a consequence of food insecurity. Food insecurity in India became a public health problem due to explosive population growth and widening gap between rich and poor. It also has a detrimental effect on factors related to health and social well-being of the family.Objectives:The study was conducted to determine the prevalence of food insecurity at household level in rural population and factors associated with it.Subjects and Methods:A community-based cross-sectional study was conducted among the households of rural Puducherry. The adult females in the households were interviewed with a pretested semi-structured questionnaire in which, along with sociodemographic factors, food insecurity was assessed using the Household Food Insecurity Access Scale. Univariate and multivariate logistic regression analysis was done to identify the factors associated with food insecurity.Results:Out of 299 households that were assessed for food insecurity, 31.7% (95% confidence interval [CI]: 26.6–37.4) had food insecurity. Out of 95 households with food insecurity, 51 (17%), 37 (13%), and 7 (2%) had severe, moderate, and mild food insecurity, respectively. In univariate analysis, the presence of children in the family, using below poverty line ration card, and socioeconomic status were significantly associated with food insecurity. In multivariate analysis, socioeconomic status was significantly associated with food insecurity (rate ratio: 3.59; P < 0.001 [95% CI: 1.68–7.67]).Conclusions:One in three families experienced the food insecurity, and it was more among households with children. It has to be addressed to prevent nutrition-related disorders in community, particularly in children.

BackgroundDespite the implementation of different interventions, food insecurity remains a major public health issue in rural areas of Ethiopia. However, there has been limited evidence regarding food insecurity and responsible factors in rural areas of Ethiopia, particularly in South Omo, Ethiopia. Hence, this study aimed to assess food insecurity and determinants in agrarian and pastoralist communities of South Omo Zone, Southern Ethiopia.MethodsA cross-sectional study was done among 605 randomly selected households in Benatsemay and South Ari districts from February 1 to 28, 2023. A standardized and validated Household Food Insecurity Access Scale (HFIAS) was used to measure food insecurity status. Data were entered using Epi-Info 7.1 and then transferred to SPSS V25 for analysis. To identify associated factors, a binary logistic regression model was employed. The strength of association was evaluated considering the adjusted odds ratio (AOR) and a 95% confidence interval (CI). A statistical significance was stated at p-value <0.05.ResultA total of 597 participants were involved in the study with a response rate of 98.7%. The overall prevalence of food insecurity using HFIAS was 42.2% (95%CI: 38.2, 46.3%), among which mild, moderate, and severe food insecurity accounted for 17.4, 16.6, and 8.2%, respectively. Of pastoralists, 114 (47.1%) were food insecure whereas 138 (38.9%) were food insecure in the agrarian. Food insecurity was affected by household head sex (AOR = 1.73, 95%CI: 1.14, 2.62), high dependency ratio (AOR = 2.53, 95%CI: 1.53, 4.20), no formal maternal education (AOR = 2.11, 95%CI: 1.07, 4.18), productive safety net program (AOR = 2.00, 95%CI: 1.16, 3.46) and land ownership (AOR = 1.80, 95% CI: 1.19, 2.72).ConclusionFood insecurity was a significant problem in the study areas. Thus, it is crucial to improve female education, advance agricultural technologies, advocate family planning, and broaden productive safety net programs.