Expanding longevity, together with a decrease in mortality, leads to an increase in the older population worldwide. In this review, ageing and older adults, as well as psychosocial and advanced technological interventions, will be discussed. Older adults are associated with an increased incidence of multimorbidity and disability; thus, they have a higher demand for health services than younger individuals. Challenges in welfare services and inadequate family and community-based care support negatively impact the psychosocial and economic wellbeing of older people. Active ageing and successful ageing are crucial aspects for a better quality of life in this age group, as there is a complex interplay of different domains and disease types that influence quality of life in older adults. Additionally, promoting the social participation of older adults is vital for improving their quality of life. Furthermore, the use of technology in older adults has a positive impact on their quality of life; however, aside from the promotion and implementation of technological interventions, challenges persist at all levels of acceptance and use. A better understanding of these challenges and implementing measures to overcome them will have a significant impact on the technological acceptance of older adults and their use in daily life activities, resulting in more favourable quality of life outcomes.

Background and aim: 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. Methods: 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. Results: 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)). Conclusions: 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.

Background and Objectives: In Kazakhstan, during the COVID-19 pandemic, older adults faced unique challenges, such as limited healthcare resources and prolonged periods of social isolation. The aim of our study was to evaluate the sociodemographic and health-related factors associated with loneliness and psychological distress in older adults during the COVID-19 pandemic in Kazakhstan. Materials and Methods: In this cross-sectional study, a total of 445 participants aged 60 and above were recruited from Kazakhstan during the COVID-19 pandemic. The Patient Health Questionnaire-4 (PHQ-4) was used to measure psychological distress, anxiety, and depression. Loneliness was assessed using the UCLA Loneliness Scale (UCLA-3). The sociodemographic and health-related variables of the tested participants were analyzed. Results: Mean values from the UCLA-3 (p < 0.001), PHQ-4 (p < 0.001), anxiety (p < 0.001), and depression (p < 0.001) scores significantly differed between different categories of self-reported overall health. Significantly higher mean values were found in older adults with hypertension for UCLA-3 (p = 0.025), PHQ-4 (p = 0.001), anxiety (p = 0.001), and depression (p = 0.017); diabetes for UCLA-3 (p = 0.023), PHQ-4 (p = 0.029), and depression (p = 0.001); chronic heart failure for UCLA-3 (p = 0.005), PHQ-4 (p < 0.001), anxiety (p = 0.001), and depression (p < 0.001); cerebrovascular disease for UCLA-3 (p = 0.024), PHQ-4 (p = 0.002), anxiety (p = 0.001), and depression (p = 0.027); cardiovascular disease for UCLA-3 (p < 0.001), PHQ-4 (p < 0.001), anxiety (p < 0.001), and depression (p < 0.001); dementia for anxiety (p = 0.046); being single for UCLA-3 (p = 0.009), PHQ-4 (p = 0.031), and depression (p = 0.028); other ethnic backgrounds for PHQ-4 (p = 0.004) and anxiety (p = 0.013); and living in an urban place for PHQ-4 (p = 0.043). Being single was shown to be a significant predictor for loneliness (OR 2.21; 95%CI 1.28–3.84), anxiety (OR 2.09; 95%CI 1.14–3.84), and depression (OR 4.23; 95%CI 1.95–9.15). Below-average (OR 5.79; 95%CI 1.09–30.90) self-reported overall health was shown to be a significant predictor of anxiety. Conclusions: Our study demonstrated that numerous sociodemographic and health-related factors were associated with loneliness, anxiety, and depression in older adults from Kazakhstan during the COVID-19 pandemic.

The aim of this study was to examine the factors associated with COVID-19-related fear in older adults from Kazakhstan, and to explore its associations with sociodemographic characteristics, health status and multiple domains of quality of life in a regional context. A total of 445 individuals aged 60 and above from both urban and rural locations in Kazakhstan participated in this cross-sectional study. To assess the quality of life among older people we used the OPQoL (Older People’s Quality of Life) Scale. Further variables were evaluated: sociodemographic (age, gender, education level, marital status, and place of residence); health-related (self-reported overall health, hypertension, diabetes, cerebrovascular disease, cardiovascular disease, and chronic obstructive pulmonary disease (COPD); and COVID-19-related fear variable. Female gender (OR = 2.344; p = 0.001), present hypertension (OR = 2.106; p = 0.008), the specialized secondary educational level (OR = 2.321; p = 0.012) and at the border of significance university educational level (OR = 1.832; p = 0.051) were variables significantly associated with the COVID-19-related fear in older adults. For individuals with reported COVID-19-related fear, advanced age was significantly negatively associated with leisure and activities domain (B = −0.747; p = 0.020) of OPQoL; better self-reported overall health was significantly positively associated with life overall domain (B = 0.691; p < 0.001), health domain (B = 1.320; p < 0.001), psychological and emotional well-being domain (B = 0.395; p = 0.001), home and neighborhood domain (B = 0.249; p = 0.036), independence, control over life and freedom domain (B = 1.082; p < 0.001), financial circumstances domain (B = 1.132; p < 0.001), and leisure and activities domain (B = 0.556; p = 0.026) of OPQoL; present hypertension was significantly negatively associated with health domain (B = −0.888; p = 0.004) of OPQoL; present cardiovascular disease was significantly negatively associated with life overall domain (B = −0.588; p = 0.027), health domain (B = −0.967; p = 0.009), and independence, control over life and freedom domain (B = −0.542; p = 0.039) of OPQoL; being single was significantly negatively associated with life overall domain (B = −0.481; p = 0.033), social relations domain (B = −0.671; p = 0.014) and financial circumstances domain (B = −0.694; p = 0.036) of OPQoL; and urban place of residency was significantly positively associated with health domain (B = 0.735; p = 0.011) and psychological and emotional well-being domain (B = 0.483; p = 0.010) of OPQoL. Our findings pointed that numerous variables were associated with the COVID-19-related fear and quality of life domains regarding COVID-19-related fear in older adults from Kazakhstan during pandemics.

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.

Background: This study aimed to evaluate sociodemographic and health-related factors associated with quality of life (QoL) in older adults from Kazakhstan during the COVID-19 pandemic, as well as gender- and place-of-residence differences in these factors associated with QoL. Method: This study included 445 individuals aged 60 years and above from both urban and rural areas in Kazakhstan, between June and July 2022. Sociodemographic and health-related variables were analyzed. QoL was evaluated by the Older People’s Quality of Life (OPQoL) Scale. Results: The multivariate regression analysis indicated that the entire study population belonging to an ethnic group other than Kazakh ( p < 0.001) was associated with lower OPQoL scores. For men, being married ( p = 0.001) was significantly associated with the higher OPQoL scores, while belonging to an ethnic group other than Kazakh ( p = 0.040) was associated with the lower OPQoL scores. Regarding women, the presence of COPD ( p < 0.001) and belonging to an ethnic group other than Kazakh ( p < 0.001) were significantly associated with the lower OPQoL scores. For those living in urban areas, better self-reported overall health ( p = 0.005) and the absence of chronic heart failure ( p = 0.041) were significantly associated with higher OPQoL scores. In comparison, the presence of chronic diseases ( p < 0.001) and belonging to an ethnic group other than Kazakh ( p < 0.001) were associated with lower OPQoL scores. In the rural area, in univariate regression analysis, only diabetes ( p = 0.012) was significantly associated with lower OPQoL scores. General linear model analysis indicated that age, in combination with various health and sociodemographic factors, significantly affected OPQoL scores. In men, significant associations involved age with diabetes ( p = 0.024) and marital status ( p < 0.001), and in women, age with COPD ( p = 0.005), chronic diseases ( p = 0.014), and ethnic background ( p < 0.001). Among urban residents, age was significantly associated with chronic heart failure ( p = 0.021), chronic disease ( p = 0.005), and ethnic background ( p < 0.001), while among rural residents, age was significantly associated with hypertension ( p = 0.024) and chronic diseases ( p = 0.043). Conclusion: Our findings suggested that various sociodemographic and health-related factors influence QoL in older adults. Furthermore, this study showed gender- and place of residence-differentiated predictors of QoL. These results call for gender and place-of-residence-responsive healthcare provision and community support services.