关键词: Ghana adolescent childbearing predictors pregnancy

Mesh : Humans Adolescent Ghana / epidemiology Female Pregnancy in Adolescence / statistics & numerical data Prevalence Pregnancy Young Adult Cross-Sectional Studies Socioeconomic Factors

来  源:   DOI:10.1155/2024/3237882   PDF(Pubmed)

Abstract:
Background: Adolescent pregnancies continue to be a global issue that affects more high-income, middle-income, and then low-income countries, with the latter experiencing the majority of cases. Aim: The current study looked into the prevalence and variables predicting adolescent childbearing in Ghana. Methodology: Data from the Ghana Multiple Indicator Cluster Survey (MICS) 2017-2018 was used to conduct an analytical cross-sectional study. The results were examined with SPSS Version 20 (IBM Corp., 2011, and NY). Pearson\'s chi-square and binary logistics analyses were done for associations. A p value of 0.05 was used to determine the analysis\'s statistical significance. Results: The total number of adolescents isolated from the 2017 Ghana MICS dataset for this study analysis was 2974. The mean age of the study participants was 16.9 ± 1.4 years with a modal age of 15 years. The prevalence of adolescent childbearing according to this study analysis was 12.3%. The predictive factors for adolescent childbearing were increasing age, decreasing educational level, Volta regional originality, ethnic originality of the study participants, and low economic status. Conclusion: The prevalence of adolescent childbearing in this study was significant and needs the attention of all. Programs to improve adolescent reproductive health must take into account multiple levels of elements, such as the individual, family, community, institutions, national, and international challenges that have an impact on such programs.
摘要:
背景:青少年怀孕仍然是一个影响更多高收入人群的全球性问题,中等收入,然后是低收入国家,后者经历了大多数情况。目的:本研究调查了加纳青少年生育的患病率和预测变量。方法:使用2017-2018年加纳多指标类集调查(MICS)的数据进行分析性横断面研究。使用SPSS第20版(IBMCorp.,2011年和纽约)。对关联进行了皮尔森的卡方和二元物流分析。0.05的p值用于确定分析的统计学显著性。结果:本研究分析从2017年加纳MICS数据集中分离的青少年总数为2974。研究参与者的平均年龄为16.9±1.4岁,模态年龄为15岁。根据这项研究分析,青少年生育的患病率为12.3%。青少年生育的预测因素是年龄增加,教育水平下降,沃尔特区域独创性,研究参与者的民族原创性,低经济地位。结论:本研究中青少年生育的患病率显著,需要引起大家的重视。改善青少年生殖健康的计划必须考虑到多个层面的因素,比如个人,家庭,社区,机构,国家,以及对此类计划产生影响的国际挑战。
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