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Spatial heterogeneity and major correlates of Unmet Need of family planning among young married women aged 15-24 in India: An Exploratory Study

机译:在印度15-24岁的年轻已婚妇女中计划生育的空间异质性和小型需求的主要相关性:探索性研究

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摘要

For young women aged 15 to 24, unintended pregnancies remain very common, reflecting lower contraceptive use. Given the socio-cultural and traditional beliefs and practices, the unmet need for family planning is a crucial indicator for tracking the progress in contraceptive prevalence, ensuring young women’s reproductive and sexual rights. This article aims to analyze spatial heterogeneity in the unmet need for family planning among young women age 15 to 24 and their mesoscale correlates. Using data from the recent round of Indian DHS (2015–2016), commonly known as the National Family Health Survey (NFHS), this study identifies the significant correlates of unmet need of contraception among young married women in India. The statistical methods range from multinomial logistic regression, spatial autocorrelation in terms of Moran’s I statistics, to spatial auto regression, to understand the spatial dependence and clustering in the unmet need across India’s districts. The contraceptive prevalence rate among young married women age 15 to 24 in India was 24%, while almost the same proportion of them (23%) had an unmet need for contraception. Current age, education, religion, poverty, number of children, media exposure, awareness about family planning, and birth occurred in the last 3 years were significant predictors of unmet need. The univariate Moran’s I for unmet need was 0.50, suggesting strong spatial heterogeneity in India. The auto regression models become much more influential after including the spatial weights in the model, where illiteracy, unawareness, poverty, and rural residence were statistically significant predictors of unmet need of family planning among young married women in India. Findings of the study providing complex cultural ecologies of contraceptive use dynamics may give vital inputs in designing gender-sensitive interventions that can create a suitable support system and enabling environment for increasing use of contraception and reducing the unmet need of family planning.
机译:对于15至24岁的年轻女性,意外怀孕仍然很常见,反映了较低的避孕用途。鉴于社会文化和传统信仰和实践,对计划生育的未满足需求是追踪避孕普遍性进展的重要指标,确保年轻的妇女的生殖和性权利。本文旨在分析15至24岁以下的年轻女性的计划生育需求的空间异质性及其介质相关。使用来自最近一轮印度DHS(2015-2016)的数据,通常称为国家家庭健康调查(NFHS),这项研究确定了在印度年轻已婚妇女中避孕避孕的明显相关。统计方法的范围从多项式物流回归,莫兰的I统计方面的空间自相关,空间自我回归,了解印度地区未满足需要的空间依赖和聚类。在印度15至24岁的年轻人妇女之间的避孕流行率为24%,而几乎相同的比例(23%)对避孕的不规则需求。当前年龄,教育,宗教,贫困,儿童,媒体曝光,对计划生育的认识以及过去3年发生的发生,是未满足需求的重要预测因子。单变量莫兰的未满足需求的我是0.50,暗示印度的强烈空间异质性。汽车回归模型在包括模型中的空间权重的情况下变得更具影响力,其中文盲,不明确,贫困和农村居住是在印度的年轻人已婚妇女中计划生育的统计上重要预测因子。提供复杂的文化生态学的研究结果可以在设计性别敏感的干预措施方面提供重要的投入,这些干预措施可以创造一个适当的支持系统和实现避孕利用和减少计划生育需求的环境。

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