Dereń Katarzyna, Zielińska Magdalena, Bartosiewicz Anna, Łuszczki Edyta
Faculty of Health Sciences and Psychology, Collegium Medicum, University of Rzeszów, 35-959 Rzeszów, Poland.
J Clin Med. 2025 Aug 21;14(16):5911. doi: 10.3390/jcm14165911.
The increasing prevalence of overweight and obesity worldwide is one of the most serious public health challenges, reaching epidemic proportions. Excessive body weight is often accompanied by metabolic disorders such as insulin resistance, atherogenic dyslipidaemia and hypertension-collectively known as metabolic syndrome. This cross-sectional study aimed to identify predictors of metabolic syndrome in women using logistic regression analysis based on selected sociodemographic, anthropometric, and lifestyle variables. : The study included 250 women aged 23-85 recruited in the Podkarpackie region of Poland. Data on sociodemographic characteristics and smoking status were collected via a questionnaire. Physical activity and sedentary behaviours were assessed using the Global Physical Activity Questionnaire. Body composition was measured using bioelectrical impedance analysis. Fasting capillary blood samples and blood pressure measurements were obtained by qualified medical staff in accordance with standard procedures. : Obesity was strongly associated with metabolic syndrome components, particularly abnormal blood pressure (66.3%) and fasting glucose (64%), both of which were statistically significant ( < 0.01). Age was a significant predictor of metabolic syndrome (OR = 1.06; < 0.01) and its components, including hypertension, dysglycaemia and dyslipidaemia. Waist-to-hip ratio was strongly linked to metabolic syndrome (OR = 356.97; < 0.01) and obesity (OR = 5.89 × 10; < 0.001); however, these exceptionally high values should be interpreted with caution, as they may reflect statistical artifacts due to model instability or sample characteristics, rather than a meaningful or generalizable association. Higher body fat mass was associated with an increased risk of obesity, hypertension and dysglycaemia (OR = 1.42, 1.06 and 1.06 respectively; < 0.01). These results emphasise the significant role of obesity as a risk factor for metabolic syndrome in women, highlighting the need for personalised preventive strategies that consider lifestyle and sociodemographic factors, such as targeted health education, promotion of physical activity, and dietary counselling adapted to the needs of women at risk.
全球超重和肥胖患病率的不断上升是最严峻的公共卫生挑战之一，已达到流行程度。体重过重往往伴有代谢紊乱，如胰岛素抵抗、致动脉粥样硬化性血脂异常和高血压，统称为代谢综合征。这项横断面研究旨在基于选定的社会人口统计学、人体测量学和生活方式变量，使用逻辑回归分析确定女性代谢综合征的预测因素。该研究纳入了波兰Podkarpackie地区招募的250名年龄在23至85岁之间的女性。通过问卷调查收集社会人口学特征和吸烟状况的数据。使用全球体力活动问卷评估体力活动和久坐行为。使用生物电阻抗分析测量身体成分。合格的医务人员按照标准程序采集空腹毛细血管血样并测量血压。肥胖与代谢综合征各组分密切相关，尤其是血压异常（66.3%）和空腹血糖（64%），两者均具有统计学意义（<0.01）。年龄是代谢综合征（OR = 1.06；<0.01）及其组分（包括高血压、血糖异常和血脂异常）的重要预测因素。腰臀比与代谢综合征（OR = 356.97；<0.01）和肥胖（OR = 5.89×10；<0.001）密切相关；然而，这些极高的值应谨慎解读，因为它们可能反映了由于模型不稳定性或样本特征导致的统计假象，而非有意义或可推广的关联。较高的体脂量与肥胖、高血压和血糖异常风险增加相关（OR分别为1.42、1.06和1.06；<0.01）。这些结果强调了肥胖作为女性代谢综合征危险因素的重要作用，突出了需要制定个性化预防策略，考虑生活方式和社会人口学因素，如针对性的健康教育、促进体力活动以及根据高危女性需求进行饮食咨询。
