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极端气候事件和儿童死亡率对孟加拉国总和生育率的影响。

Effects of extreme climate events and child mortality on total fertility rate in Bangladesh.

作者信息

Atiqul Haq Shah Md, Chowdhury Muhammad Abdul Baker, Ahmed Khandaker Jafor, Uddin Md Jamal

机构信息

Department of Sociology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.

Department of Neurosurgery, University of Florida, Gainesville, FL, 32608, USA.

出版信息

Heliyon. 2024 Jul 23;10(15):e35087. doi: 10.1016/j.heliyon.2024.e35087. eCollection 2024 Aug 15.

Abstract

Floods, storms, and temperature extremes are examples of extreme weather events that have a substantial influence on a country's demographic dynamics, including migration, fertility, and mortality. Changes in population size, composition, and distribution may result from these occurrences. This study, which spans the years 1966-2018, looks at how Bangladesh's total fertility rate (TFR) is affected by extreme weather events and child mortality, including neonatal, infant, male infant, and under-five mortality. We use data from secondary publicly accessible sources, such as the World Bank and The Emergency Events Database (EM-DAT), and we investigate the correlations using the autoregressive integrated moving average model (ARIMA), complemented by bivariate and multivariable analyses. Our findings from the univariate analysis are noteworthy. Total extreme climate events (β = -0.345, 95 % CI: 0.510, -0.180), as well as individual extreme climate events, such as extreme temperatures (β = -1.176, 95 % CI: 1.88, -0.47), floods (β = -0.644, 95 % CI: 1.0729, -0.216), and storms (β = -0.351, 95 % CI: 0.63159, -0.07154), exhibited negative associations with the TFR. Additionally, factors such as contraceptive prevalence rate (CPR) (β = -0.085, 95 % CI: 0.09072, -0.07954) and gross national income (GNI) per capita (β = -0.003, 95 % CI: 0.0041123, -0.0024234) were negatively correlated with the TFR. Conversely, various categories of child mortality, namely, infants (β = 0.041, 95 % CI: 0.040474, 0.042748), males (β = 0.038, 95 % CI:0.037719, 0.039891), and under-five (β = 0.026, 95 % CI:0.025684, 0.026979) - are positively associated with TFR. Controlling for two pivotal confounding factors, time and GNI per capita, yielded consistent results in the multivariate analysis. These findings provide insight on the dual impact of extreme weather events, which can reduce TFR while also raising it through infant mortality. This phenomena may be due to the increased vulnerability of younger children in climate-event-prone areas, prompting parents to seek additional children as both a replacement for lost offspring and an insurance mechanism against future child loss.

摘要

洪水、风暴和极端温度等极端天气事件对一个国家的人口动态有着重大影响,包括移民、生育率和死亡率。这些事件可能导致人口规模、构成和分布的变化。本研究涵盖1966年至2018年,探讨极端天气事件和儿童死亡率(包括新生儿、婴儿、男婴和五岁以下儿童死亡率)如何影响孟加拉国的总生育率(TFR)。我们使用来自世界银行和紧急事件数据库(EM-DAT)等二级公开可用来源的数据,并使用自回归积分移动平均模型(ARIMA)进行相关性调查,并辅以双变量和多变量分析。我们单变量分析的结果值得关注。总的极端气候事件(β = -0.345,95%置信区间:0.510,-0.180),以及个别极端气候事件,如极端温度(β = -1.176,95%置信区间:1.88,-0.47)、洪水(β = -0.644,95%置信区间:1.0729,-0.216)和风暴(β = -0.351,95%置信区间:0.63159,-0.07154)与总生育率呈负相关。此外,避孕普及率(CPR)(β = -0.085,95%置信区间:0.09072,-0.07954)和人均国民总收入(GNI)(β = -0.003,95%置信区间:0.0041123,-0.0024234)等因素与总生育率呈负相关。相反,各类儿童死亡率,即婴儿(β = 0.041,95%置信区间:0.040474,0.042748)、男性(β = 0.038,95%置信区间:0.037719,0.039891)和五岁以下儿童(β = 0.026,95%置信区间:0.025684,0.026979)与总生育率呈正相关。在多变量分析中,控制两个关键的混杂因素,即时间和人均国民总收入,得到了一致的结果。这些发现提供了关于极端天气事件双重影响的见解,极端天气事件可以降低总生育率,同时也可以通过婴儿死亡率提高总生育率。这种现象可能是由于气候事件多发地区年幼儿童的脆弱性增加,促使父母寻求更多孩子,既是为了替代失去的子女,也是作为防止未来子女死亡的一种保障机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521e/11336454/62672c79d15b/gr1.jpg

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