锡金生育率下降趋势:一个令人关注的领域

B. Chauhan, D. Bhutia
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引用次数: 0

摘要

目的:决定印度锡金低生育率的因素。主要目的:主要目的是确定锡金地区低生育率的因素。次要目的:次要目的是了解锡金地区避孕药具的使用情况及其类型。研究对象和方法:研究环境:本研究在锡金邦进行。研究时间:研究时间为1年(2020年2月至2021年1月)。研究人群:研究人群为符合条件的女性伴侣。符合条件的夫妇是指妻子处于生育年龄(15岁至49岁)的夫妇。纳入标准:纳入标准是同意参加研究的符合条件的夫妇的女性伴侣。排除标准:排除标准为符合条件的男性伴侣。研究工具:采用结构化预测问卷对参与者进行访谈。统计分析方法:采用SPSS 25版本进行统计分析。结果:30岁以下结婚的母亲生育2个及以上子女的比例高于30岁以后结婚的母亲,分别为14.9%和6.9% (P = 0.03),最多的母亲属于30 ~ 34岁年龄组。对母亲家庭规模的看法是,四分之三(76.1%)的人回答有两个孩子,而10.7%的人认为一个孩子就足够了,13.2%的人认为有三个或三个以上。总体避孕普及率为73.8%。结论:造成低生育率的原因是多因素的;其中重要的是对精简小家庭规模和高避孕普及率的认识和实践。
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Decreasing fertility trend in Sikkim: An area of concern
AIMS: Factors determining low fertility in Sikkim, India. PRIMARY OBJECTIVE: The primary objective was to determine the factors for the low fertility in Sikkim. SECONDARY OBJECTIVE: The secondary objective was to find out the prevalence of contraceptive use and its types in Sikkim. SUBJECTS AND METHODS: Study Setting: The study was conducted in the State of Sikkim. Study Period: The study period was 1 year (from February 2020 to January 2021). Study Population: The study population was female counterpart of the eligible couple. An eligible couple refers to a currently couple wherein the wife is in the reproductive age, which is between 15 and 49 years. Inclusion Criteria: Inclusion criteria were female counterparts of the eligible couple who consent to participate in the study. Exclusion Criteria: Exclusion criteria were male counterparts of the eligible couple. Study Tool: Structured pre-tested questionnaire was used to take the interview of the participants. Statistical Analysis Used: SPSS version 25 was used for statistical analysis. RESULTS: It was seen that having two or more children was higher for mothers who had married below 30 years than after 30 years with 14.9% and 6.9%, respectively (P = 0.03) and maximum mothers belonged to 30–34 years age group. The perception of the family size of the mother was that three-fourth (76.1%) responded to having two children, whereas 10.7% perceived one child to be sufficient and 13.2% mentioned having three or more. The overall contraceptive prevalence rate was found to be 73.8%. CONCLUSIONS: Causes for low fertility rate are multifactorial; some important ones are the perception and practice of concise and small family size and high contraceptive prevalence rate.
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