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Record W4403281340 · doi:10.1016/j.wasec.2024.100180

The syndemics of food and water insecurities on emotional distress and overall wellbeing in Ghana: Findings from a cross-sectional study

2024· article· en· W4403281340 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWater Security · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of WaterlooQueen's University
Fundersnot available
KeywordsCross-sectional studyDistressEnvironmental healthPsychologyClinical psychologyEmotional distressMedicineBiologyDevelopmental psychologyPsychiatryPathologyAnxiety

Abstract

fetched live from OpenAlex

• The study employed a robust and reliable global wellbeing measure, with questions adapted to reflect the lived experiences of the study context. • The study concurrently assesses the associations and interactions between household food and water insecurities on health outcomes. • The study employed multilevel mixed effects generalized linear and logistics models to analyze emotional distress and wellbeing. Water and food security are essential to health and wellbeing. Although globally, progress has been made in improving access to safe drinking water and adequate amounts of healthy and nutritious diets, insecurities remain, resulting in major public health concerns. Furthermore, we know little about the syndemics of living with both water and food insecurities. This study examines the relationship between water and food insecurities, as well as their interaction effects on emotional distress and overall wellbeing. Using Ghana as a case study, we conducted a cross-sectional household survey (n = 1,036) using a multi-stage sampling technique and employed multilevel mixed effects generalized linear and logistics models (meglm and melogit) to analyze the outcome variables. Participants subjective wellbeing was measured using a modified global wellbeing measure that follows a multidimensional approach. Emotional distress was measured using the General Health Questionnaire (GHQ-20) which assesses several aspects of emotional distress including predisposition to depression, anxiety, and social impairment. We found that medium water insecure (aOR=1.79, p ≤ 0.05) and severe food insecure (aOR=2.05, p ≤ 0.05) households had higher likelihood of reporting emotional distress compared to households that did not experience either water or food insecurities, respectively. In addition to the main effects, there were significant interaction effects between experiencing medium water insecurity and severe food insecurity on emotional distress. Similarly, there were significant interaction effects between experiencing medium water insecurity and severe food insecurity as well as experiencing severe water insecurity and severe food insecurity on subjective wellbeing compared to households that were both water and food secure, respectively. In addition to water and food insecurities at the household level, other significant predictors of emotional distress and wellbeing included income adequacy, housing security and poverty. Conceptualizing, measuring, and tracking the syndemics of food and water insecurities on emotional distress and overall wellbeing provides useful insight into the need for and efficacy of public health and global development interventions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.299
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it