PDF(Pubmed)
Abstract：
UNASSIGNED: The onset of the COVID-19 pandemic has disrupted food access, resulting in substantial consequences for food insecurity and contributing to adverse individual and public health outcomes. To comprehensively evaluate these challenges and grasp their implications for food security, this study aimed to evaluate the contributing determinants of food insecurity among rural households in the southwestern region of Bangladesh.
UNASSIGNED: A cross-sectional study was conducted using a validated questionnaire in selected 310 rural household respondents from the southwestern region of Bangladesh.
UNASSIGNED: Household food insecurity status was the outcome variable for the analysis. Multinomial logistic regression analysis was used to explore and predict risk factors correlated with food insecurity among southwestern Bangladeshi households.
UNASSIGNED: We found that 59 % and 27.5 % of households were suffering from moderate food insecurity and severe food insecurity, respectively. The multinomial regression model revealed that respondents residing in Kusthia (RRR = 5.56 CI:2.67-8.4 and RRR = 6.65, CI:3.37-9.22) aged between 30 and 40 years (RRR = 2.32, 95 % CI:1.84-3.77 and RRR = 1.87, 95 % CI:1.48-3.97) and 40-50 years (RRR = 1.86 95 % CI:1.46-3.82 and RRR = 1.95, 95 % CI:1.75-3.26) were significantly associated with mild-to-moderate and severe food insecurity. Respondents with a monthly family income of <58.96 USD (3.38 times and 2.18 times), had ≥5 family members (2.68 times and 1.89 times), and had poor income during the pandemic (4.25 times and 2.75 times) more likely to be moderate and severe food insecure.
UNASSIGNED: The results emphasized that during the COVID-19 lockdown in Bangladesh, rural households faced diverse levels of food insecurity, ranging from moderate to severe. It suggests that efforts to raise awareness and implement support strategies for those at higher risk should not only focus on income but also consider additional factors such as family size, adults aged 30-40 years, and occupation.
UNASSIGNED: A cross-sectional study was conducted using a validated questionnaire in selected 310 rural household respondents from the southwestern region of Bangladesh.
UNASSIGNED: Household food insecurity status was the outcome variable for the analysis. Multinomial logistic regression analysis was used to explore and predict risk factors correlated with food insecurity among southwestern Bangladeshi households.
UNASSIGNED: We found that 59 % and 27.5 % of households were suffering from moderate food insecurity and severe food insecurity, respectively. The multinomial regression model revealed that respondents residing in Kusthia (RRR = 5.56 CI:2.67-8.4 and RRR = 6.65, CI:3.37-9.22) aged between 30 and 40 years (RRR = 2.32, 95 % CI:1.84-3.77 and RRR = 1.87, 95 % CI:1.48-3.97) and 40-50 years (RRR = 1.86 95 % CI:1.46-3.82 and RRR = 1.95, 95 % CI:1.75-3.26) were significantly associated with mild-to-moderate and severe food insecurity. Respondents with a monthly family income of <58.96 USD (3.38 times and 2.18 times), had ≥5 family members (2.68 times and 1.89 times), and had poor income during the pandemic (4.25 times and 2.75 times) more likely to be moderate and severe food insecure.
UNASSIGNED: The results emphasized that during the COVID-19 lockdown in Bangladesh, rural households faced diverse levels of food insecurity, ranging from moderate to severe. It suggests that efforts to raise awareness and implement support strategies for those at higher risk should not only focus on income but also consider additional factors such as family size, adults aged 30-40 years, and occupation.
摘要：
■COVID-19大流行的爆发扰乱了食物供应，导致对粮食不安全的重大后果，并导致不利的个人和公共卫生结果。全面评估这些挑战,把握其对粮食安全的影响,本研究旨在评估孟加拉国西南地区农村家庭粮食不安全的影响因素.
■使用经过验证的问卷对来自孟加拉国西南地区的310名农村家庭受访者进行了横断面研究。
■家庭粮食不安全状况是分析的结果变量。多元logistic回归分析用于探索和预测孟加拉国西南部家庭与粮食不安全相关的危险因素。
■我们发现，59%和27.5%的家庭正遭受中度粮食不安全和严重粮食不安全之苦，分别。多项回归模型显示，居住在Kusthia（RRR=5.56CI：2.67-8.4和RRR=6.65，CI：3.37-9.22）的受访者年龄在30至40岁之间（RRR=2.32，95％CI：1.84-3.77和RRR=1.87，95％CI：1.48-3.97）和40-50岁（RRR=1.95％CI=1.46-3.82）家庭月收入<58.96美元（3.38倍和2.18倍）的受访者，有≥5名家庭成员(2.68倍和1.89倍)，在大流行期间，收入低(分别是4.25倍和2.75倍)，中度和重度粮食不安全的可能性更大。
■结果强调，在孟加拉国的COVID-19封锁期间，农村家庭面临不同程度的粮食不安全，范围从中度到重度。报告建议，为高风险人群提高认识和实施支持战略的努力不仅应侧重于收入，还应考虑其他因素，如家庭规模、30-40岁的成年人，和职业。
■使用经过验证的问卷对来自孟加拉国西南地区的310名农村家庭受访者进行了横断面研究。
■家庭粮食不安全状况是分析的结果变量。多元logistic回归分析用于探索和预测孟加拉国西南部家庭与粮食不安全相关的危险因素。
■我们发现，59%和27.5%的家庭正遭受中度粮食不安全和严重粮食不安全之苦，分别。多项回归模型显示，居住在Kusthia（RRR=5.56CI：2.67-8.4和RRR=6.65，CI：3.37-9.22）的受访者年龄在30至40岁之间（RRR=2.32，95％CI：1.84-3.77和RRR=1.87，95％CI：1.48-3.97）和40-50岁（RRR=1.95％CI=1.46-3.82）家庭月收入<58.96美元（3.38倍和2.18倍）的受访者，有≥5名家庭成员(2.68倍和1.89倍)，在大流行期间，收入低(分别是4.25倍和2.75倍)，中度和重度粮食不安全的可能性更大。
■结果强调，在孟加拉国的COVID-19封锁期间，农村家庭面临不同程度的粮食不安全，范围从中度到重度。报告建议，为高风险人群提高认识和实施支持战略的努力不仅应侧重于收入，还应考虑其他因素，如家庭规模、30-40岁的成年人，和职业。
