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BMJ Open ; 10(12): e043365, 2020 12 12.
Article in English | MEDLINE | ID: covidwho-975705

ABSTRACT

INTRODUCTION: We conducted a cross-sectional survey to assess the extent and to identify the determinants of food insecurity and coping strategies in urban and rural households of Bangladesh during the month-long, COVID-19 lockdown period. SETTING: Selected urban and rural areas of Bangladesh. PARTICIPANTS: 106 urban and 106 rural households. OUTCOME VARIABLES AND METHOD: Household food insecurity status and the types of coping strategies were the outcome variables for the analyses. Multinomial logistic regression analyses were done to identify the determinants. RESULTS: We found that around 90% of the households were suffering from different grades of food insecurity. Severe food insecurity was higher in urban (42%) than rural (15%) households. The rural households with mild/moderate food insecurity adopted either financial (27%) or both financial and food compromised (32%) coping strategies, but 61% of urban mild/moderate food insecure households applied both forms of coping strategies. Similarly, nearly 90% of severely food insecure households implemented both types of coping strategies. Living in poorest households was significantly associated (p value <0.05) with mild/moderate (regression coefficient, ß: 15.13, 95% CI 14.43 to 15.82), and severe food insecurity (ß: 16.28, 95% CI 15.58 to 16.97). The statistically significant (p <0.05) determinants of both food compromised and financial coping strategies were living in urban areas (ß: 1.8, 95% CI 0.44 to 3.09), living in poorest (ß: 2.7, 95% CI 1 to 4.45), poorer (ß: 2.6, 95% CI 0.75 to 4.4) and even in the richer (ß: 1.6, 95% CI 0.2 to 2.9) households and age of the respondent (ß: 0.1, 95% CI 0.02 to 0.21). CONCLUSION: Both urban and rural households suffered from moderate to severe food insecurity during the month-long lockdown period in Bangladesh. But, poorest, poorer and even the richer households adopted different coping strategies that might result in long-term economic and nutritional consequences.


Subject(s)
Adaptation, Psychological , COVID-19/epidemiology , Food Insecurity , Physical Distancing , Bangladesh/epidemiology , Cross-Sectional Studies , Family Characteristics , Female , Humans , Male , Nutrition Surveys , Rural Population/statistics & numerical data , Socioeconomic Factors , Urban Population/statistics & numerical data
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