Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
J Infect Dis ; 224(Supplement_7): S901-S909, 2021 Dec 20.
Article in English | MEDLINE | ID: covidwho-1475801

ABSTRACT

BACKGROUND: Bangladesh has experienced remarkable transformation in demographic, health, and nutritional status of the population. The changes have exposed the population to a number of challenges, the detrimental effect of which on health and nutrition is likely to be increased by the coronavirus disease 2019 (COVID-19) pandemic. We provide an overview of health and nutritional challenges in Bangladesh in relation to demographic transition and the COVID-19 pandemic. METHODS: We identified and reviewed recent reports, published articles, and pertinent gray literature on nutrition and food security in Bangladesh to provide historical and contextual information. RESULTS: The review identifies the progress as well as existing burden regarding nutrition and food security in Bangladesh and highlights the challenges in the coming days in regard to population growth and the COVID-19 pandemic. The country is on track to reduce all forms of childhood undernutrition, while the proportion of nutrition-related noncommunicable diseases is rising owing to changes in dietary intake, low physical activity, and sedentary lifestyle. CONCLUSIONS: Despite remarkable progress, health and nutritional status of the population in Bangladesh faces challenges, particularly in relation to demographic transition and compounded by the COVID-19 pandemic, which require concerted attention from policymakers as well as stakeholders.


Subject(s)
COVID-19 , Food Security , Food Supply/statistics & numerical data , Pandemics , Bangladesh/epidemiology , Humans , Nutritional Status , SARS-CoV-2
2.
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
SELECTION OF CITATIONS
SEARCH DETAIL