Dataset Information

Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

ABSTRACT: Australian governments routinely monitor population household food insecurity (FI) using a single measure-'running out of food at least once in the previous year'. To better inform public health planning, a synthesis of the determinants and how they influence and modify each other in relation to FI was conducted. The analysis used data from the Health & Wellbeing Surveillance System cross-sectional dataset. Weighted means and multivariable weighted logistic regression described and modelled factors involved in FI. The analysis showed the direction and strength of the factors and a path diagram was constructed to illustrate these. The results showed that perceived income, independent of actual income was a strong mediator on the path to FI as were obesity, smoking and other indicators of health status. Eating out three or more times a week and eating no vegetables more strongly followed FI than preceded it. The analysis identified a range of factors and demonstrated the complex and interactive nature of them. Further analysis using propensity score weighted methods to control for covariates identified hypothetical causal links for investigation. These results can be used as a proof of concept to assist public health planning.

SUBMITTER: Daly A

PROVIDER: S-EPMC6313516 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

Daly Alison A Pollard Christina M CM Kerr Deborah A DA Binns Colin W CW Caraher Martin M Phillips Michael M

International journal of environmental research and public health 20181122 12

Australian governments routinely monitor population household food insecurity (FI) using a single measure-'running out of food at least once in the previous year'. To better inform public health planning, a synthesis of the determinants and how they influence and modify each other in relation to FI was conducted. The analysis used data from the Health & Wellbeing Surveillance System cross-sectional dataset. Weighted means and multivariable weighted logistic regression described and modelled ...[more]

PMID: 30467284

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Project description:ObjectiveTo determine the prevalence of (very) low food security among Dutch food bank recipients, and to identify potential demographic, lifestyle and nutrition-related factors associated with (very) low food security.Setting11 of 135 Dutch food banks were selected throughout the Netherlands.Participants251 Dutch food bank recipients participated in the study (93 men and 158 women). Inclusion criteria for participation were: (1) at least 18?years of age, (2) sufficiently fluent in Dutch to participate in oral and written interviews, (3) recipient of a Dutch food bank for at least 1?month and (4) collect own food parcel at the food bank. A single member per household was included.Primary outcomeLevel of food security.ResultsThe prevalence of food insecurity was 72.9% (N=183), of which 40.4% (N=74) reported very low food security. Of the very low food secure participants, 56.8% (N=42) reported they were ever hungry but did not eat because they could not afford enough food in the previous 3?months. Adjusted multinomial logistic regression analyses showed that households without children were less likely to experience low food security (OR 0.39 (95% CI 0.18 to 0.88)) and men (OR 0.24 (95% CI 0.11 to 0.51)) were less likely to experience very low food security, while low-educated recipients (OR 5.05 (95% CI 1.37 to 18.61)) were more likely to experience very low food security. Furthermore, recipients with high satisfaction with overall food intake (OR 0.46 (95% CI 0.27 to 0.78)), high perceived healthiness of overall food intake (OR 0.34 (95% CI 0.19 to 0.62)) or high self-efficacy of eating healthy (OR 0.62 (95% CI 0.40 to 0.96)) were less likely to experience very low food security.ConclusionsOur study showed high prevalence rates of food insecurity among Dutch food bank recipients, and identified subgroups at increased risk of food insecurity. More research is urgently needed on the underlying determinants of food insecurity and the effectiveness of food assistance by food banks.

Project description:ObjectivesFood insecurity is 'the limited or uncertain availability of nutritionally adequate, safe foods or inability to acquire foods in socially acceptable ways'. Majority of tuberculosis (TB) cases of resource-poor settings experience food insecurity, which impacts treatment adherence and outcomes. We aimed to determine level of household food insecurity (HFI) and its associated factors in patients with pulmonary TB.DesignThis is a cross-sectional analysis of data from an ongoing cohort study.SettingNational Tuberculosis Programme (NTP) in three districts of South India.ParticipantsAll newly diagnosed pulmonary TB cases of the cohort enrolled in the NTP at the Designated Microscopy Centres (DMCs) and Primary Health Centres (PHCs) from October 2015 to October 2018.Primary outcome measuresThe proportion of baseline HFI assessed using a validated HFI Access Scale was summarised as percentage with 95% CI. Possible association of sociodemographic, morbidity and behavioural characteristics with HFI was assessed using χ2 test, and unadjusted prevalence ratios with 95% CI were calculated. The characteristics with values of p<0.2 in the univariate model were included in the multivariable generalised linear model (binomial function, log link) to derive adjusted prevalence ratios (aPRs) with 95% CI.ResultOf a total of 765 patients, 261 had HFI and the proportion was 34.1% (95% CI 30.8% to 37.6%). Mild, moderate and severe food insecurity was found in 17 (2.2%), 67 (8.8%) and 177 (23.1%) TB cases, respectively. Patients with TB who had monthly family income less than rupees 3000 (aPR 2.0; 95% CI 1.3 to 3.0), Karnofsky Score of 60 or less (aPR 1.5; 95% CI 1.1 to 1.9) and those who were employed (aPR 1.4; 95% CI 1.0 to 2.0) were independently associated with HFI.ConclusionsA high level of food insecurity was seen in households with TB cases. Additional food or cash assistance for this subgroup might improve food insecurity and thereby nutritional status.

Project description:BACKGROUND:Food insecurity, defined as inadequate access to food owing to financial constraints, has been associated with poor disease management. Because cost-related nonadherence to prescription drugs is a possible explanation for such association, we examined the link between food insecurity and cost-related medication nonadherence in Canada. METHODS:Drawing on data for adult respondents (age ≥ 18 yr) who participated in the Canadian Community Health Survey 2016 Rapid Response module on prescription medication use, we assessed the association between household food insecurity and cost-related nonadherence to prescription drugs in the previous 12 months. We further examined the self-perceived health consequences of cost-related nonadherence among nonadherents. We applied Poisson models with bootstrap weights adjusting for sociodemographic characteristics. RESULTS:Of the 11 172 respondents in our sample, 930 (8.3%) reported cost-related nonadherence. Food insecurity affected 10.5% (95% confidence interval [CI] 9.1% to 11.8%) of adherents and 47.9% (95% CI 38.1% to 57.7%) of nonadherents. After adjustment for confounders, moderate and severe food insecurity were associated with 3.83 (95% CI 2.44 to 6.03) and 5.05 (95% CI 3.27 to 7.81) times higher prevalence of cost-related nonadherence, respectively, relative to food security. Despite being associated with lower probability of cost-related nonadherence, having drug insurance did not change the relation between food insecurity and cost-related nonadherence (p > 0.1 for all interactions). Severe food insecurity was correlated with higher prevalence of health deterioration and greater use of health care services as perceived consequences of cost-related nonadherence (p < 0.01 for both). INTERPRETATION:Food-insecure adults in Canada have a higher likelihood of cost-related nonadherence to prescription medications than their food-secure counterparts, which may constitute a burden on their health and lead to greater use of health care services.

Project description:Food insecurity has multiple negative effects on maternal and child health and nutritional outcomes. There is a dearth of up-to-date evidence on the prevalence of food insecurity in Bangladesh based on geographical variations. We investigated the prevalence of food insecurity based on geographical variations and its associated factors. We pooled data from seven cross-sectional surveys conducted in 15,009 households from March 2015 to May 2018. This study was a part of the evaluation of the Maternal Infant Young Child Nutrition Phase 2 programme implemented by BRAC, one of the largest international non-governmental organizations located in Bangladesh that covered rural areas in 26 districts and two urban slums in Dhaka, Bangladesh. We used Household Food Insecurity Access Scale (a widely used scale to measure household food insecurity) to estimate the food insecurity status from the data collected through a face-to-face interview using a structured questionnaire. Hot spot analysis was conducted using the Getis-Ord Gi* statistic. The multiple logistic regression model was applied to explore the associated factors of food insecurity. The food insecurity hotspots were in the northwestern, central-southwestern, and coastal districts of Bangladesh. The overall prevalence of mild, moderate, and severe food insecurity were 12.7%, 13.8%, and 3.5%, respectively. In the adjusted model, household heads and caregivers of children with five or more years of schooling had respectively 42% (adjusted odds ratio (AOR): 0.58, 95% confidence interval (CI): 0.52, 0.64) and 46% (AOR: 0.54; 95% CI: 0.49, 0.61) less likelihood to suffer from food insecurity. Households in the middle (AOR: 0.58, 95% CI: 0.52, 0.65) and rich (AOR: 0.32, 95% CI: 0.28, 0.36) wealth status had lower odds of food insecurity. Food insecurity is widely spread in rural districts of Bangladesh and the degree of vulnerability is higher among the households of the northwestern, central-southwestern, and coastal areas of Bangladesh. Comprehensive interventions including strategies for poverty reduction and education for all might be effective to reduce food insecurity at rural households in Bangladesh.

Project description:BACKGROUND:Food insecurity is a pressing social and public health issue that varies in degree and impact on individuals and social groups, requiring immediate attention for policymakers and decision-makers. This study was conducted to identify the prevalence and associated factors of food insecurity of rural households particularly in the Shebel Berenta and Machakel districts of East Gojjam zone. METHODS:A cross-sectional study design was conducted, in the fall of March 2017 among 504 households. Households are selected using a systematic sampling technique through multistage cluster sampling technique (two stage cluster sampling). The data were collected using a structured interviewer-administered questionnaire covering a range of topics including 18 core food security modules (CFSM) question series, socioeconomic, demographic and related variables. Multivariable Partial proportional odds model (PPOM) was employed to identify the factors associated with food insecurity in rural households. RESULT:Of a total of 504 households considered in the study, 54 (10.71%) were highly food secure, 75 (14.88%) were marginally food secure, 157 (31.15%) were low food secure, and 218 (43.25%) were severely food insecure. District (Machakel) (AOR?=?3.28 95% CI: 1.73, 6.24), household head education status, illiterate (AOR?=?113.4, 95% CI:7.02,1832.02), read and write (AOR?=?169.29, 95%CI:11.64, 2461.39), and elementary completed (AOR?=?119.75,95%CI:8.43,1700.74), agro-ecological zone, Woina Dega (AOR?=?0.0021,95% CI: 0.00009,0.0514), Dega (AOR?=?0.0323, 95%CI: 0.002, 0.5209), family size (AOR?=?1.18, 95%CI: 1.01, 1.36), landholding (AOR?=?0.767, 95% CI: 0.605, 0.972), TLU (AOR?=?0.151, 95% CI: 0.0716, 0.3189), access to toilet (no) (AOR?=?7.63, 95% CI: 1.459, 39.78), practicing irrigation (yes) (AOR?=?0.121, 95% CI: 0.037, 0.38), loan (no) (AOR?=?2.83, 95% CI:1.36, 5.89), access to energy, government electric (AOR?=?0.468, 95% CI: 0.23, 0.94), solar panels (AOR?=?0.45, 95% CI: 0.25, 0.79), soil fertility, moderate (AOR?=?0.28, 95% CI: 0.12, 0.87), fertile (AOR?=?0.15, 95% CI: 0.032, 0.72) were significant associated food insecurity factors in the study area. CONCLUSION:In this study, a high prevalence of food insecurity and various associated food insecurity factors have been identified in the study area. Thus, the concerned stockholders should intervene in food insecure households via different irrigation practices and by considering household size, community-based household head education, and landholding in hectare.

Dataset Information

Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

Publications

Using Cross-Sectional Data to Identify and Quantify the Relative Importance of Factors Associated with and Leading to Food Insecurity.

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