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首页> 外文期刊>The Professional Medical Journal >SOCIO-DEMOGRAPHIC FACTORS AND DISEASES CAUSING OVERWEIGHT AND OBESITY AMONG 25-60 YEARS WOMEN IN LAHORE, PAKISTAN
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SOCIO-DEMOGRAPHIC FACTORS AND DISEASES CAUSING OVERWEIGHT AND OBESITY AMONG 25-60 YEARS WOMEN IN LAHORE, PAKISTAN

机译:巴基斯坦拉合尔25至60岁妇女超重和肥胖的社会人口因素和疾病

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摘要

Objectives: To investigate socio-demographic factors and diseases causing overweight and obesity among 25 to 60 years women. Study Design: Descriptive crosssectional study. Duration & Setting: Comprised of five months (January 2016 to May 2016); concerning household survey i.e. door to door sampling method was carried out in Lahore, Pakistan. Material and Methods: Multistage sampling technique was used and 3239 women aging 25 to 60 years; of which 1684 (52%) females were normal weight (excluded from the research) and 1555 (48%) overweight/obese women i.e. 1106 (34%) were overweight and 449 (14%) women were obese (included in the analysis).Descriptive statistics and Bivariate logistic regression was applied on the achieved data through IBM SPSS Statistics Version 21. Results: Socio-demographic factors and diseases were found significantly associated with overweight and obesity; includes age (p=0.001), marital status (p0.000), level of education (p=0.000), occupation (p=0.000), father/husband occupation (p=0.000) and monthly income (p=0.001); whereas, diseases such as hypothyroidism (p=0.001), polycystic ovarian syndrome (p=0.000), menstrual period (p=0.001) and depression/stress (p=0.000)as their p-values were less than 0.05 (significant). Conclusion: The research findings points out notable explanation of sociodemographic factors and diseases causing overweight and obesity among 25 to 60 years women with respect to which the study can definitely summarized to countless extent.
机译:目的:调查导致25至60岁女性超重和肥胖的社会人口统计学因素和疾病。研究设计:描述性横断面研究。时间和地点:五个月(2016年1月至2016年5月);关于家庭调查的方法,即在巴基斯坦拉合尔进行了门到门抽样方法。材料和方法:采用多阶段抽样技术,年龄在25至60岁之间的3239名妇女;其中1684名(52%)女性体重正常(不包括在研究范围内)和1555名(48%)超重/肥胖女性,即1106名(34%)超重和449名女性(14%)肥胖(包括在分析中)通过IBM SPSS Statistics第21版对获得的数据进行描述性统计和双变量Logistic回归分析。结果:发现社会人口统计学因素和疾病与超重和肥胖显着相关;包括年龄(p = 0.001),婚姻状况(p <0.000),受教育程度(p = 0.000),职业(p = 0.000),父亲/丈夫职业(p = 0.000)和月收入(p = 0.001);而甲状腺功能减退(p = 0.001),多囊卵巢综合征(p = 0.000),月经期(p = 0.001)和抑郁/压力(p = 0.000)等疾病的p值均小于0.05(显着)。结论:研究结果指出了对25至60岁女性中引起人口过重和肥胖的社会人口统计学因素和疾病的显着解释,该研究可以肯定地进行了无数总结。

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