旁遮普两个大城市不育和可育男性和女性的人口统计学、社会经济和生活方式决定因素比较

S. Kaur, R. Thaman, R. Sood, V. Sambyal, I. S Sandhu, Archana Beri, M. Chawla
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摘要

背景:不孕症是一对夫妇怀孕的明显失败。不孕症的人口、社会经济和生活方式决定因素及其相关因素应更现实地看待。针对不孕症原因的区域差异,需要采取一种全面的方法,帮助更深入地了解该疾病的根本原因,并对其进行全面管理。材料和方法:对旁遮普省两个大城市的100对不育夫妇和200名在三级保健中心和体外受精中心就诊的有生育能力的男性和女性进行了一项选定的不育风险因素研究。采用半结构化的形式问卷收集数据。收集的数据包括人体测量、人口统计资料、影响不孕症的生活方式变量和社会经济属性。使用比值比对数据进行分析,找出风险因素及其关联。结果:研究结果显示,非素食、更多的茶和酒精使用、吸烟滥用和使用手机的持续时间在不育夫妇中更为常见,这与生育参与者有统计学意义。职业、体力活动、睡眠、社会经济变量和教育状况在两组间比较无统计学意义。有趣的是,与可育男性相比,只有在不育男性中,肥胖II类才有统计学意义。结论:不孕症的诊断、治疗和管理需要一个全面的视角。保健专业人员需要深入研究医疗干预以外的不孕症治疗方面,为面临不孕症的夫妇提供综合治疗方案。
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Comparison of demographic, socioeconomic, and lifestyle determinants in infertile and fertile males and females from two big cities of Punjab
BACKGROUND: Infertility is an apparent failure of a couple to conceive. The demographic, socioeconomic, and lifestyle determinants in infertility and its related factors should be seen more realistically. Regional variations in the causes of infertility need a completely comprehensive approach that helps to dive deeper into the root cause of the disease and manage it holistically. MATERIALS AND METHODS: A study on selected risk factors of infertility among 100 infertile couples and 200 fertile males, females attending tertiary health-care centers and in vitro fertilization centers from two big cities of Punjab was conducted. The data were collected using semi-structured pro forma questionnaire. The data collected included the anthropometric measurements, demographic profile, lifestyle variables impacting infertility, and socioeconomic attributes. Data were analyzed to look out for risk factors and their association using the odds ratio. RESULTS: The findings of the study revealed that nonvegetarian diet, more tea and alcohol usage, smoking abuse, and duration of mobile phone usage were seen more in infertile couples which was statistically significant in relation to fertile participants. Occupation, physical activity, sleep, socioeconomic variables, and education status did not show any statistical significance when compared between the two groups. Interestingly, statistical significance was seen in the obese class II category only in infertile males in comparison to fertile males. CONCLUSION: An all-inclusive perspective is needed for the diagnosis, treatment, and management of infertility. Health-care professionals need to dive into aspects of infertility treatment other than medical interventions to provide an integrated treatment regimen for couples facing infertility.
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