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首页> 外文期刊>BMC Pediatrics >Time to death and its associated factors among infants in sub-Saharan Africa using the recent demographic and health surveys: shared frailty survival analysis
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Time to death and its associated factors among infants in sub-Saharan Africa using the recent demographic and health surveys: shared frailty survival analysis

机译:利用近期人口和健康调查,撒哈拉以南非洲婴幼儿的死亡及其相关因素:共享脆弱的生存分析

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Globally, approximately 4.1 million infants died, accounting for 75% of all under-five deaths. In sub-Saharan Africa (SSA), infant mortality was 52.7/1000 live births in 2018 This study aimed to assess the pooled estimate of infant mortality rate (IMR), time to death, and its associated factors in SSA using the recent demographic and health survey dataset between 2010 and 2018. Data were retrieved from the standard demographic and health survey datasets among 33 SSA countries. A total of 93,765 samples were included. The data were cleaned using Microsoft Excel and STATA software. Data analysis was done using R and STATA software. Parametric shared frailty survival analysis was employed. Statistical significance was declared as a two-side P-value ?0.05. The pooled estimate of IMR in SSA was 51 per 1000 live births (95% Confidence Interval (CI): 46.65–55.21). The pooled estimate of the IMR was 53 in Central, 44 in Eastern, 44 in Southern, and 57 in Western Africa per 1000 live births. The cumulative survival probability at the end of 1 year was 56%. Multiple births (Adjusted Hazard ratio (AHR)?=?2.68, 95% CI: 2.54–2.82), low birth weight infants (AHR?=?1.28, 95% CI: 1.22–1.34), teenage pregnancy (AHR?=?1.19, 95 CI: 1.10–1.29), preceding birth interval? 18?months (AHR?=?3.27, 95% CI: 3.10–3.45), birth order ≥ four (AHR?=?1.14, 95% CI:1.10–1.19), home delivery (AHR?=?1.08, 95% CI: 1.04–1.13), and unimproved water source (AHR?=?1.07, 95% CI: 1.01–1.13), female sex (AHR?=?0.86, 95% CI: 0.83–0.89), immediately breastfeed (AHR?=?0.24, 95% CI: 0.23–0.25), and educated mother (AHR?=?0.88, 95% CI: 0.82–0. 95) and educated father (AHR?=?0.90, 95% CI: 0.85–0.96) were statistically significant factors for infant mortality. Significant number of infants died in SSA. The most common cause of infant death is a preventable bio-demographic factor. To reduce infant mortality in the region, policymakers and other stakeholders should pay attention to preventable bio-demographic risk factors, enhance women education and improved water sources.
机译:在全球范围内,约有410万婴儿死亡,占所有五年后死亡的75%。在撒哈拉以南非洲(SSA)中,2018年婴儿死亡率为52.7 / 1000个活产出的本研究旨在评估婴儿死亡率(IMR),死亡时间的汇总估计,以及利用近期人口统计学的SSA中的相关因素。 2010年和2018年之间的健康调查数据集。从33个SSA国家之间的标准人口和健康调查数据集中检索数据。共包含93,765个样品。使用Microsoft Excel和Stata软件清除数据。使用R和Stata软件进行数据分析。采用参数分享的脆弱生存分析。统计显着性被称为双侧p值&?0.05。 SSA中IMR的汇总估计为每1000个活产婴儿(95%置信区间(CI):46.65-55.21)。 IMR的汇总估计为53,在南部,44位,44位,44位,57个,西非每1000个活产出生。 1年底累积存活概率为56%。多次出生(调整危险比(AHR)?=?2.68,95%CI:2.54-2.82),出生体重婴儿(AHR?=?1.28,95%CI:1.22-1.34),少女怀孕(AHR?=? 1.19,95 CI:1.10-1.29),前进的间隔?< 18个月(AHR?= 3.27,95%CI:310-3.45),出生令≥4(AHR?=?1.14,95%CI:1.10-19),送货上门(AHR?=?1.08,95% CI:1.04-1.13)和未改进的水源(AHR?=?1.07,95%CI:1.01-1.13),女性(AHR?= 0.86,95%CI:0.83-0.89),立即母乳喂养(AHR? =?0.24,95%CI:0.23-0.25)和受过教育的母亲(AHR?=?0.88,95%CI:0.82-0.95)和受过教育的父亲(AHR?= 0.90,95%CI:0.85-0.96 )对婴儿死亡率有统计学意义。大量婴儿在SSA死亡。婴儿死亡原因是可预防的生物人口统计因子。为了减少该地区的婴儿死亡率,政策制定者和其他利益攸关方应注意可预防的生物人口风险因素,增强女性教育和改善的水源。

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