Vrettos Ioannis, Voukelatou Panagiota, Pappa Evelina, Beletsioti Chrysoula, Niakas Dimitris
2nd Department of Internal Medicine, General and Oncology Hospital of Kifissia "Agioi Anargyroi", Athens, Greece.
Faculty of Social Sciences, Hellenic Open University, Patra, Greece.
Iran J Public Health. 2021 Oct;50(10):2038-2045. doi: 10.18502/ijph.v50i10.7504.
The main objective was to investigate the relationship between Health-Related Quality of Life (HRQL) and Body Mass Index (BMI) status according to gender in a representative sample of Greek urban population.
In this cross-sectional study, data were collected from 1060 participants (mean age 47.10 yr, 95%CI 46.09-48.07, 52.7% females) in a stratified sample of representative urban population during 1-20 Apr 2016 in Athens, Greece. Socio-demographic characteristics and medical history were involved. BMI (kg/m) was calculated, based on reported height and weight. HRQL was assessed by using the Greek version of SF36. Parametric tests and multiple logistic regression analysis were applied to identify whether socio-demographic characteristics differed across BMI groups. Mann-Whitney test was used to detect significant differences in SF36 scales between men and women across different BMI and age groups. Multivariate stepwise linear regression analyses were performed to investigate the influence of sociodemographic variables on HRQL.
The effect of being overweight or obese differs by age and gender and that this negative impact in HRQL was greater in women than in men. More vulnerable were overweight young and obese middle-aged woman both in terms of physical and mental health. On the other hand, HRQL of normal weight men and women did not differ in almost all age groups.
Gender differences on HRQL observed in the general population were mediated by the different way that the two genders affected by increases in body weight.
主要目的是在希腊城市人口的代表性样本中，根据性别调查健康相关生活质量（HRQL）与体重指数（BMI）状况之间的关系。
在这项横断面研究中，于2016年4月1日至20日在希腊雅典对具有代表性的城市人口分层样本中的1060名参与者（平均年龄47.10岁，95%置信区间46.09 - 48.07，女性占52.7%）收集数据。涉及社会人口学特征和病史。根据报告的身高和体重计算BMI（kg/m）。使用希腊版的SF36评估HRQL。应用参数检验和多元逻辑回归分析来确定社会人口学特征在不同BMI组之间是否存在差异。使用曼-惠特尼检验来检测不同BMI和年龄组的男性和女性在SF36量表上的显著差异。进行多变量逐步线性回归分析以研究社会人口学变量对HRQL的影响。
超重或肥胖的影响因年龄和性别而异，并且这种对HRQL的负面影响在女性中比在男性中更大。超重的年轻女性和肥胖的中年女性在身心健康方面都更脆弱。另一方面，几乎在所有年龄组中，正常体重的男性和女性的HRQL没有差异。
在一般人群中观察到的HRQL性别差异是由体重增加对两性影响的不同方式介导的。
