Prevalence and Correlates of Food Insecurity among Palestinian Refugees in Lebanon: Data from a Household Survey.
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ABSTRACT:
SUBMITTER: Ghattas H
PROVIDER: S-EPMC4476802 | biostudies-other | 2015
REPOSITORIES: biostudies-other
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Project description:BackgroundSince the outbreak of the Syrian war in 2011, close to 6 million Syrian refugees have escaped to Syria's neighbouring countries, including Lebanon. Evidence suggests rising levels of mental health disorders among Syrian refugee populations. Yet, to the best of our knowledge, large-scale studies addressing the mental health of adult Syrian refugees in Lebanon are lacking. We examined the prevalence of depression symptoms, which represent a common and debilitating mental health disorder among Syrian refugee populations in Lebanon, along with their sociodemographic and clinical correlates.MethodsA cross-sectional survey design was conducted as part of a collaborative project-"Sijilli"- led by the Global Health Institute at the American University of Beirut (Beirut, Lebanon) across 4 informal tented settlements for refugees (Beirut, Bekaa, North, South) in Lebanon among adult Syrian refugees (≥18), over a period extending from 2018 to 2020. The survey inquired about participants' sociodemographic and clinical characteristics, and screened participants for symptoms of depression through sequential methodology using the Patient Health Questionnaire (PHQ-2 and PHQ-9).ResultsA total of 3255 adult Syrian refugees were enrolled in the study. Of those refugees, 46.73% (n = 1521) screened positive on the PHQ-2 and were therefore eligible to complete the PHQ-9. In the entire sample (n = 3255), the prevalence of moderate to severe depression symptoms (PHQ-2 ≥ 2 and then PHQ-9 ≥ 10) was 22% (n = 706). Further analyses indicate that being ≥45 years of age (OR 1.61, 95% CI 1.13-2.30), a woman (OR 1.34, 95% CI 1.06-1.70), widowed (OR 2.88, 95% CI 1.31-6.32), reporting a neurological (OR 1.73, 95% CI 1.15-2.60) or a mental health condition (OR 3.98, 95% CI 1.76-8.97) are major risk factors for depression.ConclusionOur study suggests that an estimated one in four Syrian refugees in Lebanon shows moderate to severe depression symptoms, and our findings have important public health and clinical implications on refugee health. There is a need to enhance screening efforts, to improve access and referral to mental health services, and to improve post-migration factors among Syrian refugees in Lebanon.
| S-EPMC7836044 | biostudies-literature
Project description:ObjectiveDecades of marginalization have led Palestinian refugees living in Lebanon to experience multigenerational poverty and food insecurity. The Healthy Kitchens, Healthy Children programme implemented and examined the impact of a two-pronged intervention that employed women through community kitchens to deliver a subsidized healthy daily school snack to elementary-school children in Palestinian refugee camps in Lebanon. We describe the rationale, study design, theorized impact pathways, and discuss lessons learned.DesignThe programme was quasi-experimental. We conducted formative and process evaluation of both components of the intervention to elucidate the pathways to programme impact.SettingPalestinian refugee camps in Lebanon.ParticipantsThirty-three women participated in the kitchens and provided subsidized snacks to 714 children.ResultsSnacks were healthy, traditional Palestinian recipes designed by women and a nutritionist. Participation fluctuated but eventually increased after modifying the meals to ensure acceptability by children. The main challenges to sustainability related to the need for subsidization of the meals and the lack of school policies around the regulation of sales of school food, which together led to fluctuations in programme participation.ConclusionsThe study provides lessons learned on the potential of this model to improve the human capital of two generations of protracted refugees. The availability of schools as a constant market for these social enterprises offers an opportunity for sustainable livelihood generation and food security gains. Challenges to sustainability remain and could be addressed through social (subsidies to support the programme) and structural (policies to restrict unhealthy food sales) measures.
| S-EPMC10200532 | biostudies-literature
Project description:BACKGROUND:Food insecurity is widely prevalent in certain sections of society in low and middle-income countries. The United Nations has challenged all member countries to eliminate hunger for all people by 2030. This study examines the prevalence and correlates of household food insecurity among women, especially Dalit women of reproductive age in Nepal. METHODS:Data came from 2016 Nepal Demographic Health Survey, a cross-sectional, nationally representative survey that included 12,862 women between 15 and 49?years of age of which 12% were Dalit. Descriptive analysis was used to assess the prevalence of household food insecurity while logistic regression examined the relationship between women's ethnicity and the risk of food insecurity after accounting for demographic, economic, cultural, and geo-ecological characteristics. RESULTS:About 56% of all women and 76% of Dalit women had experienced food insecurity. Ethnicity is strongly related to food insecurity. Dalit women were most likely to be food insecure, even after accounting for factors such as education and wealth. They were 82, 85, 89 and 92% more vulnerable to food insecurity than Muslims, Brahmin/Chhetri, Terai Indigenous, and Hill Indigenous populations, respectively. Education was a protective factor-women with secondary education (6th to 10th grade) were 39% less likely to be food insecure compared to their counterparts without education. With a more than 10th grade education, women were 2.27 times more likely to be food secure compared to their counterparts without education. Marriage was also protective. Economically, household wealth is inversely correlated with food insecurity. Finally, residence in the Mid-Western, Far-Western and Central Development regions was correlated with food insecurity. CONCLUSION:To reduce food insecurity in Nepal, interventions should focus on improving women's education and wealth, especially among Dalit and those residing in the Far- and Mid-Western regions.
| S-EPMC7001376 | biostudies-literature
Project description:The experience of a downward change in one's financial situation is so common that most consumers will experience it during their lifetime, and this prevalence has been compounded by the recent COVID-19 pandemic. Limited research, however, has examined the impact of economic hardship on consumers' food-related behavior. Using a sample of Canadians and Americans (n = 519; Mage = 38.4; SDage = 13.6; 46.2% female; 85% lived alone), we identify that economic hardship significantly and negatively predicts consumer food waste behavior, such that economic hardship leads consumers to waste less food. Conversely, we also identify a positive indirect effect wherein economic hardship positively predicts ontological insecurity (i.e., the aversive feeling of being overwhelmed and out of control), which in turn positively predicts overconsumption (e.g., overstocking one's fridge or pantry) and in turn predicts higher food waste. This preliminary work opens the door to future work exploring a potentially rich avenue of research on the implications of adverse economic events on consumer food choice, consumption, and disposal. Implications for research and practice are discussed.
| S-EPMC9759702 | biostudies-literature
Project description:BackgroundCollege students may be vulnerable to food insecurity due to limited financial resources, decreased buying power of federal aid, and rising costs of tuition, housing, and food. This study assessed the prevalence of food insecurity and its sociodemographic, health, academic, and food pantry correlates among first-year college students in the United States.MethodsA cross-sectional study was conducted among first-year students (n = 855) across eight U.S. universities. Food security status was assessed using the U.S. Department of Agriculture Adult Food Security Survey Module. Cohen's Perceived Stress Scale, Pittsburgh Sleep Quality Index, and Eating Attitudes Test-26 were used to assess perceived stress, sleep quality, and disordered eating behaviors, respectively. Participants self-reported their grade point average (GPA) and completed questions related to meal plan enrollment and utilization of on-campus food pantries.ResultsOf participating students, 19% were food-insecure, and an additional 25.3% were at risk of food insecurity. Students who identified as a racial minority, lived off-campus, received a Pell grant, reported a parental education of high school or less, and did not participate in a meal plan were more likely to be food-insecure. Multivariate logistic regression models adjusted for sociodemographic characteristics and meal plan enrollment indicated that food-insecure students had significantly higher odds of poor sleep quality (OR = 2.32, 95% CI: 1.43-3.76), high stress (OR = 4.65, 95% CI: 2.66-8.11), disordered eating behaviors (OR = 2.49, 95% CI: 1.20-4.90), and a GPA < 3.0 (OR = 1.91, 95% CI: 1.19-3.07) compared to food-secure students. Finally, while half of the students (56.4%) with an on-campus pantry were aware of its existence, only 22.2% of food-insecure students endorsed utilizing the pantry for food acquisition.ConclusionsFood insecurity among first-year college students is highly prevalent and has implications for academic performance and health outcomes. Higher education institutions should screen for food insecurity and implement policy and programmatic initiatives to promote a healthier college experience. Campus food pantries may be useful as short-term relief; however, its limited use by students suggest the need for additional solutions with a rights-based approach to food insecurity.Trial registrationRetrospectively registered on ClinicalTrials.gov , NCT02941497.
| S-EPMC6542079 | biostudies-literature
Project description:BackgroundFood insecurity (FI) is the situation where people do not have, at all times, access to sufficient, safe and nutritious food that meets their dietary needs for an active and healthy life. The objectives of this study were to estimate the prevalence of FI in the Paris area by using, for the first time in France, a specific FI questionnaire and to identify the characteristics of food-insecure households, taking into account a potential neighbourhood effect.MethodsThis study is based on data from the third wave of the SIRS cohort study (a representative, population-based socioepidemiological study) that were analysed using a cross-sectional design. In 2010, 3000 individuals in the Paris metropolitan area (PMA) were interviewed. FI was investigated by means of the USDA's HFSSM. We used stratified multilevel models across three household income categories to identify populations at risk for FI.ResultsIn 2010, 6.30% (95% CI?=?[4.99-7.97]) of the households in the PMA experienced FI (up to 13.59% in the most underprivileged neighbourhoods). About 2.50% of the households experienced severe FI and 2.85% of household living with an income above 1666 € experienced food insecurity, whereas the percentage raises to 23.38% among those living below the poverty threshold (< 791 €). Depending on the income level, different household characteristics emerged as being associated with FI. In the poorest households, the presence of a child under 3 years of age was associated with an increased risk of FI (OR?=?2.11; p?=?0.03). Among higher-income households, the household composition appeared to be strongly associated with FI.ConclusionFI exists in several social groups in France. Its prevalence in the most underprivileged households should be considered an indicator of vulnerability, which could permit targeted social assistance policies.
| S-EPMC3751527 | biostudies-literature
Project description: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.
| S-EPMC8199942 | biostudies-literature
Project description:IntroductionNumerous natural and man-made factors have afflicted Ethiopia, and millions of people have experienced food insecurity. The current cut-points of the WFP food consumption score (FCS) have limitations in measuring the food insecurity level of different feeding patterns due to the diversified culture of the society. The aim of this study is to adapt the WFP food security score cut-points corrected for the different feeding cultures of the society using effect-driven quantile clustering.MethodThe 2012, 2014, and 2016 Ethiopian socio-economic household-based panel data set with a sample size of 3,835 households and 42 variables were used. Longitudinal quantile regression with fixed individual-specific location-shift intercept of the free distribution covariance structure was adopted to identify major indicators that can cluster and level quantiles of the FCS.ResultHousehold food insecurity is reduced through time across the quintiles of food security score distribution, mainly in the upper quantiles. The leveling based on effect-driven quantile clustering brings 35.5 and 49 as the FCS cut-points corrected for cultural diversity. This corrected FCS brings wider interval for food insecure households with the same interval range for vulnerable households, where the WFP FCS cut-points under estimate it by 7 score. Education level, employment, fertilizer usage, farming type, agricultural package, infrastructure-related factors, and environmental factors are found to be the significant contributing factors to food security. On the other hand, the age of the head of the household, dependency ratio, shock, and no irrigation in households make significant contributions to food insecurity. Moreover, households living in rural areas and farming crops on small lands are comparatively vulnerable and food insecure.ConclusionMeasuring food insecurity in Ethiopia using the WFP FCS cut-off points underestimates households' food insecurity levels. Since the WFP FCS cut-points have universality and comparability limitations, there is a need for a universally accepted local threshold, corrected for local factors those resulted in different consumption patterns in the standardization of food security score. Accordingly, the quantile regression approach adjusts the WFP-FCS cut points by adjusting for local situations. Applying WFP cut-points will wrongly assign households on each level, so the proportion of households will be inflated for the security level and underestimated for the insecure level, and the influence of factors can also be wrongly recommended the food security score for the levels. The quantile clustering approach showed that cropping on a small land size would not bring about food security in Ethiopia. This favors the Ethiopian government initiative called integrated farming "ኩታ ገጠም እርሻ" which Ethiopia needs to develop and implement a system that fits and responds to this technology and infrastructure.
| S-EPMC10365274 | biostudies-literature
Project description:This study examined the burden of food insecurity in India's un-notified slums, using an SDG framework to identify correlates of food insecurity. A convenience sampling approach was employed in selecting 38 slums from 675 un-notified slums across four geographic zones. Ten percent of the households in each slum site were selected from each zone, and one household member was interviewed, based on their availability and fulfilment of the eligibility criteria. Eligible individuals included those aged 18 years and above, who were resident in the selected slums and provided consent. Individuals with mental or physical challenges were excluded. A total sample of 907 study participants were included. Results showed that 43% (n = 393) of the participants were food insecure. More than half were females (73%, n = 285), who had not completed any schooling (51%, n = 202). One-third (n = 128) resided in the Northern Region of Delhi. SDG-related predictors of food insecurity included: household educational level (SDG 4 Quality education) (p = 0.03), coverage of health service needs (SDG 3 Good health and well-being) (p = 0.0002), electricity needs (SDG 7 affordable and clean energy) (p<0.0001), and employment needs (SDG 8 Decent and economic growth) (p = 0.003). Having healthcare needs that were partially or fully met was equally associated with higher food insecurity: this could be attributed to high healthcare costs and the lack of federal subsidies in un-notified slums, collectively contributing to high out-of-pocket health costs. Failure to fully meet employment needs was also significantly associated with higher food insecurity. However, met needs for electricity, finance, women's safety and satisfactory family relationships, were associated with lower food insecurity. Household predictors of food insecurity included: number of household members, and the presence of physically disabled household members. Necessary interventions should include connecting food insecure households to existing social services such as India's Public Distribution System, and multi-sector partnerships to address the existing challenges.
| S-EPMC6445475 | biostudies-literature
Project description:BACKGROUND:Adequate supplies of food and food security (FS) are the fundamental aspects of human societies, and considered one of the pivotal factors of individual and social health. The aim of the present study was to assess the applicability of the short questionnaire for screening food insecurity (FI) and to evaluate the prevalence of FI in northwest of Iran. METHODS:In this study, 550 subjects aged ?16?years were studied. Three-day dietary records and a short questionnaire were applied to estimate the prevalence of FI in terms of hunger and hidden hunger. The sensitivity, specificity and accuracy of the short questionnaire were assessed. Moreover, the association between the results of the short questionnaire and the criteria that were theoretically related to FI were examined. Data were presented as mean (SD), median (min-max) for the numeric normal and non-normal variables, respectively, and frequency (percent) for categorical variables. The between-group comparisons of variables were done using independent samples t test. P values less than 0.05 were considered statistically significant. RESULTS:The prevalence of hunger and hidden hunger was 30.8 and 46.0%, respectively. Overall, 23.2% of the subjects were classified as "food secure". The sensitivity, specificity and accuracy of the short questionnaire in determining hunger were 92.8% (95% CI: 87.3-95.9), 84.2% (95% CI: 79.3-89.3), and 87% (95% CI: 84-90.2), respectively. These values for hidden hunger were 21.6% (95% CI: 15.7-29.9), 92.3% (95% CI: 88.7-99.4), and 53.4% (95% CI: 47.9-59.8), respectively. Our study showed a statistically significant association between FI and socio-economic status. FI significantly enhanced the risk of underweight, while it markedly reduced the risk of overweight and obesity. The average frequency of monthly consumption of meat, dairy products, fruits, vegetables, and rice was significantly lower in food insecure group, while the median frequency of bread consumption was markedly higher in food insecure group. The participants of insecure group were less likely to consume fruits, vegetables, dairy products, rice and meat. CONCLUSIONS:FI was frequent in North-west of Iran. The findings indicated that the short questionnaire was a simple, low-cost and practical tool for screening FI in terms of hunger. TRIAL REGISTRATION:IR.TBZMED.REC.1397.400.
| S-EPMC7282109 | biostudies-literature