Prevalence and factors associated with short birth interval in the semi-rural community of Kaya, Burkina Faso: results of a community-based survey.

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Abou Coulibaly, Adama Baguiya, Ivlabèhirè Bertrand Meda, Tiéba Millogo, Aristide Marie Arsène Koumbem, Franck Garanet, Seni Kouanda
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引用次数: 0

Abstract

Background: A short birth interval adversely affects the health of mothers and children. This study aimed to measure the prevalence of short birth intervals and identify their associated factors in a semi-urban setting in Burkina Faso.

Methods: We conducted a cross-sectional study in which data were collected in households between May and October 2022. The dependent variable was the short birth interval (SBI), defined by the World Health Organization as the time between two live births. We performed a multilevel mixed-effects Poisson regression with robust variance to determine the factors associated with the SBI by reporting adjusted prevalence ratios (aPR) with a 95% confidence interval (CI).

Results: A total of 5544 birth intervals were recorded from 4067 women. A short birth interval was found in 1503 cases out of 5544, i.e., a frequency of 27.1%. The prevalence of short birth interval (time between two live births less than 33 months) was higher in never users of modern contraceptive users (aPR = 1.24; 95% CI [1.14-1.34] vs. previous users), in younger ages with aPR of 4.21 (95% CI [3.30-5.37]), 2.47 (95% CI [1.96-3.11]), and 1.45 (95% CI [1.16-1.81]), respectively for under 18, 18-24 years old, and 25-34 years old, compared to 35 and over. Childbirths occurring before the implementation of the maternal and infant free health care policy (aPR = 2.13; 95% CI [1.98-2.30]) and also before the free family planning policy (aPR = 1.53; 95% CI [1.28-1.81]) were more likely to have SBI. Women with low socio-economic positions were also more likely to have SBI.

Conclusion: This study found a high SBI in Burkina Faso (more than one woman out of four). Our results have programmatic implications, as some factors, such as contraceptive practice and socioeconomic status, are modifiable. These factors need particular attention to lengthen birth intervals and, in turn, improve mother-child couple health by reducing short birth interval consequences.

布基纳法索卡亚半农村社区出生间隔短的发生率和相关因素:社区调查的结果。
背景:生育间隔过短会对母亲和儿童的健康产生不利影响。本研究旨在测量布基纳法索半城市地区出生间隔短的发生率,并确定其相关因素:我们进行了一项横断面研究,在 2022 年 5 月至 10 月期间收集了家庭数据。因变量为短生育间隔(SBI),世界卫生组织将其定义为两次活产之间的间隔时间。我们利用稳健方差进行了多层次混合效应泊松回归,通过报告调整流行率(aPR)和 95% 置信区间(CI)来确定与 SBI 相关的因素:共记录了 4067 名妇女的 5544 个出生间隔。在 5544 个案例中,有 1503 个案例的出生间隔较短,即发生率为 27.1%。从未使用过现代避孕药具的妇女(aPR = 1.24;95% CI [1.14-1.34])与使用过现代避孕药具的妇女相比,生育间隔短(两次活产间隔时间少于 33 个月)的发生率更高。与 35 岁及以上相比,18 岁以下、18-24 岁和 25-34 岁年龄组的 aPR 分别为 4.21(95% CI [3.30-5.37])、2.47(95% CI [1.96-3.11])和 1.45(95% CI [1.16-1.81])。在母婴免费保健政策实施前(aPR = 2.13;95% CI [1.98-2.30])和免费计划生育政策实施前(aPR = 1.53;95% CI [1.28-1.81])分娩的妇女更有可能发生 SBI。社会经济地位较低的妇女也更有可能出现 SBI:本研究发现布基纳法索的 SBI 感染率很高(每四名妇女中就有一名以上感染 SBI)。我们的研究结果对计划有一定的影响,因为有些因素是可以改变的,如避孕措施和社会经济地位。这些因素需要特别关注,以延长生育间隔,进而通过减少生育间隔过短的后果来改善母婴夫妇的健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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