Browsing by Author "Radovic, Diana (56365402300)"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
- Some of the metrics are blocked by yourconsent settings
Publication Gender Differences in Predictors of Physical Functioning Limitations Among the Elderly Population in Serbia: A Population-Based Modeling Study(2025) ;Nikolic, Dejan (26023650800) ;Mujovic, Natasa (22941523800) ;Santric-Milicevic, Milena (57209748201) ;Mitrovic, Sindi (55798151300) ;Krstic, Nevena (59655014400) ;Radic, Ana (59712777400) ;Radovic, Diana (56365402300) ;Nurbakyt, Ardak (59227700600) ;Sukenova, Dinara (59714037000)Kostadinovic, Milena (57205204516)Background and Objective: Active aging is influenced by various factors, including chronic diseases, multimorbidity, functional limitations, and disabilities. The presence of these factors might lead to greater dependence on caregivers and could present potential barriers to community engagement. Physical functioning might be considered as one of the vital components for healthier aging experience promotion and support in elderly people. This study aimed to assess self-perceived general health and related health characteristics among the elderly population in Serbia, with a focus on varying degrees of functional limitations, as well as to analyze the predictors of physical functioning limitations in relation to gender. Materials and Methods: This population-based modeling study included a representative sample of 3540 elderly individuals aged above 65 years from Serbia. We employed a dual approach to model the four distinct difficulty levels related to the two groups of limitations of physical functioning (PF1 and PF2) for both genders. The PF1 focused on walking half a kilometer on level ground without the assistance of any mobility aids, and the PF2 navigated a set of 12 steps of ascent and descent: Model 1: inability to execute PF1, Model 2: some/a lot of difficulty in PF1, Model 3: inability to execute PF2, and Model 4: some/a lot of difficulty in PF2. Further variables were evaluated: self-perceived general health, long-lasting health problems, and chronic diseases/chronic conditions. Logistic regression analysis was performed to assess predictors of physical functioning. The models’ performance was presented. Results: Significant predictors were as follows: self-perceived general health (Model 1 (male OR: 8.639; female OR: 3.569); Model 2 (male OR: 2.759; female OR: 2.277); Model 3 (male OR: 24.290; female OR: 5.090); Model 4 (male OR: 3.256; female OR: 2.152)); long-lasting general health (Model 1 (female OR: 2.867); Model 3 (female OR: 3.602)); pulmonary diseases (Model 2 (male OR: 2.036); Model 4 (male OR: 1.976; female OR: 1.756)); musculoskeletal diseases (Model 1 (female OR: 1.537); Model 2 (male OR: 1.397; female OR: 1.410); Model 3 (male OR: 1.954; female OR: 1.739); Model 4 (male OR: 1.531; female OR: 1.483)); and other chronic diseases (Model 3 (male OR: 2.215)). Conclusions: Bad self-perceived general health and pulmonary and musculoskeletal diseases were predictors of functional disability in both genders of elderly individuals, while long-lasting health problems were predictors of functional disability in females and other chronic diseases were predictors in elderly males. © 2025 by the authors. - Some of the metrics are blocked by yourconsent settings
Publication Unlocking the Potential of the Elderly Population in Serbia: A Modeling Study on Musculoskeletal Disorders and Associated Factors(2024) ;Radovic, Diana (56365402300) ;Santric-Milicevic, Milena (57209748201) ;Nikolic, Dejan (26023650800) ;Filipovic, Tamara (57191260384) ;Ducic, Jovan (58844569300) ;Nikcevic, Ljubica (56233258300) ;Jovicic, Milica (56915792700) ;Tulic, Ivan (6602743219)Tulic, Goran (23036995600)Background/Objectives: A properly functioning musculoskeletal system is imperative for human well-being at every stage of life, including at an older age. This study’s aim was to assess the relationship between sociodemographic and physical functioning variables and the presence of individual musculoskeletal disorders (MSDs), MSD comorbidity, and multimorbidity, as well as to determine factors that are independent predictors of the presence of MSDs in people over 65 years old. Methods: This population-based study included 3701 participants aged 65 years and older. Data on individual MSDs addressed cervical and lumbosacral spine regions and degenerative joint disease (arthrosis). The subjects were categorized into four groups: those without any diseases; those with one MSD; those with two MSDs (comorbidities); and those with three MSDs (multimorbidities). The sociodemographic and physical functioning variables were analyzed. Results: Females were more likely to have MSDs (two: OR 1.95 and three: OR 2.25) than men. Elderly people aged 75 and above were 1.49 times more likely to have three MSDs. Elderly people with elementary school education were more likely to have MSDs (two: OR 1.34 and three: OR 2.06) than those with high school/university education. The low-income population was 2.47 times more likely to have three MSDs. Individuals with partial activity limitations because of health problems had greater chances of having one, two, or three MSDs (OR 1.60, 1.59, and 1.94, respectively), and elderly individuals with severe limitations had an OR of 1.43, 2.17, and 4.12, respectively. Individuals with some/many difficulties in walking up or down 12 steps were more likely to have MSDs (two: OR 2.26 and three: OR 2.28). Conclusions: The significant predictors of experiencing a single MSD, MSD comorbidity, or MSD multimorbidity include residing in the Serbian capital city and having limitations in activities due to health problems. A significant predictor of having a single MSD or MSD comorbidity is residing in the northern region of Serbia. A significant predictor of MSD comorbidity is residing in the southeastern region of Serbia. Significant predictors of MSD comorbidity or MSD multimorbidity include female gender, an elementary school educational level, and experiencing difficulty in walking up or down 12 steps. Significant predictors of MSD multimorbidity are being 75 years of age and above and having a lower income. © 2024 by the authors.
