Kostadinovic Milena, Nikolic Dejan, Nurbakyt Ardak, Sukenova Dinara, Matejic Bojana, Sotirovic Ivana, Mujovic Natasa, Milanovic Filip, Nikcevic Ljubica, Santric-Milicevic Milena
University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Healthcare (Basel). 2025 Apr 30;13(9):1028. doi: 10.3390/healthcare13091028.
During the past few decades, the aging population has increased. With aging, there is an increase in functional limitations. The aim of this study was to analyze sociodemographic factors associated with physical functioning impairment in elderly males and females. : This population-based modeling study based on a data from a third national study of health of Serbian inhabitants from 2013 in Serbia included 3540 elderly participants 65 years of age and above from Serbia. Physical functioning for both genders was categorized as follows: PF1-walking half a kilometer on level ground without the assistance of any mobility aids and PF2-walking up or down 12 steps. Modeling of physical functioning for both genders was categorized as follows: Model 1: inability to perform PF1, Model 2: some/a lot of difficulty in performing PF1, Model 3: inability to perform PF2, and Model 4: some/a lot of difficulty in performing PF2. Further variables were evaluated: age, education level, marital status, body mass index (BMI), wealth index, and place of residence. Logistic regression was performed to identify the variables that are factors associated with PF1 and PF2 in elderly males and females. : Statistically significant factors were as follows: age (Model 1 (male OR: 2.591; female OR: 4.708); Model 2 (male OR: 1.791; female OR: 2.354); Model 3 (male OR: 2.386; female OR: 4.985); Model 4 (male OR: 1.883; female OR: 2.772)); BMI (Model 2 (female OR: 1.348); Model 4 (female OR: 1.329)), marital status (Model 2 (female OR: 0.713); Model 4 (male OR: 0.688)); education level (Model 1 (male OR: 0.626; female OR: 0.537); Model 2 (male OR: 0.811; female OR: 0.653); Model 3 (male OR: 0.697; female OR: 0.494); Model 4 (male OR: 0.784; female OR: 0.639)); wealth index (Model 2 (male OR: 0.823; female OR: 0.740); Model 3 (male OR: 0.724); Model 4 (male OR: 0.787; female OR: 0.731)); and place of residence (Model 1 (female OR: 1.704); Model 3 (female OR: 1.575)). : Increased age, being single, a lower education level, and a lower wealth index were factors associated with functional disability in the elderly of both genders, while an increased BMI and living in another place than a city were factors associated with functional disability in elderly females. Specific social strategies bearing in mind possible gender differences should be created and implemented in order to optimize the physical functioning, mobility, and participation of the elderly.
在过去几十年中,老年人口有所增加。随着年龄增长,功能受限情况增多。本研究的目的是分析与老年男性和女性身体功能受损相关的社会人口学因素。:这项基于人群的建模研究采用了2013年塞尔维亚第三次全国居民健康研究的数据,纳入了塞尔维亚3540名65岁及以上的老年参与者。男女的身体功能分类如下:PF1 - 在无任何助行器具辅助的平地上行走半公里,PF2 - 上下12级台阶。男女身体功能的建模分类如下:模型1:无法完成PF1,模型2:执行PF1有一些/很多困难,模型3:无法完成PF2,模型4:执行PF2有一些/很多困难。还评估了其他变量:年龄、教育水平、婚姻状况、体重指数(BMI)、财富指数和居住地点。进行逻辑回归以确定与老年男性和女性PF1和PF2相关的因素。:具有统计学意义的因素如下:年龄(模型1(男性OR:2.591;女性OR:4.708);模型2(男性OR:1.791;女性OR:2.354);模型3(男性OR:2.386;女性OR:4.985);模型4(男性OR:1.883;女性OR:2.772));BMI(模型2(女性OR:1.348);模型4(女性OR:1.329)),婚姻状况(模型2(女性OR:0.713);模型4(男性OR:0.688));教育水平(模型1(男性OR:0.626;女性OR:0.537);模型2(男性OR:0.811;女性OR:0.653);模型3(男性OR:0.697;女性OR:0.494);模型4(男性OR:0.784;女性OR:0.639));财富指数(模型2(男性OR:0.823;女性OR:0.740);模型3(男性OR:0.724);模型4(男性OR:0.787;女性OR:0.731));以及居住地点(模型1(女性OR:1.704);模型3(女性OR:1.575))。:年龄增长、单身、教育水平较低和财富指数较低是与男女老年人功能残疾相关的因素,而BMI增加和居住在城市以外的地方是与老年女性功能残疾相关的因素。应制定并实施考虑到可能的性别差异的具体社会策略,以优化老年人的身体功能、活动能力和参与度。