Sürdürülebilir Kalkınma Amaçları

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• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/12661
  Associations between technology use, perceived burdensomeness, and independence among rural older adults

  Bal, Betül; Apaydin, Emine

  Objective: This study aims to examine the relationships among perceived burdensomeness, technology use habits, and activities of daily living (ADL) in older adults residing in rural areas. Methods: This descriptive correlational study was conducted with 384 older adults living in rural areas in two different regions of Turkey. Data were collected using an Information Form, the Geriatric Perceived Burdensomeness Scale, the Barthel Index for Activities of Daily Living, and the Technology Use Habits Scale. Results: Perceived burdensomeness was moderately and negatively correlated with ADL (r = − 0.484, p < 0.001), whereas technology use habits were weakly but positively correlated with BADL (r = 0.192, p < 0.001). In the hierarchical regression analysis, technology use habits showed a positive and statistically significant association with ADL in the initial model (β = 0.189, p < 0.001). When perceived burdensomeness was added to the model, it emerged as a strong negative predictor of ADL (β = −0.497, p < 0.001), substantially increasing the explained variance. In the fully adjusted model, perceived burdensomeness, age, digital device use, and duration of digital device use were significantly associated with ADL, whereas age did not significantly affect the relationship between perceived burdensomeness and ADL. Overall, perceived burdensomeness and technology use habits were identified as key factors related to functional independence among rural older adults. Conclusion: The findings of this study indicate that perceived burdensomeness and technology use habits are closely associated with independence in activities of daily living among older adults living in rural areas. These findings indicate an association between technology use and perceived burdensomeness and provide a foundation for future research in nursing practice and rural health services. Future research is recommended to focus on evaluating technology-based and psychosocial interventions that support independence and psychosocial well-being in rural older populations. Clinical trial number: Not applicable.

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• MakaleYayıncıda açık erişim2025Scopus SJRQ1/r/bayburt/11365
  Breaking the silence on late-life depression: uncovering the drivers of help-seeking in Türkiye’s ageing population

  Ercan, Uğur; Apaydın, Emine; Alkan, Ömer

  Background: Due to the prevalence of physical health issues among older adults, depression remains a significant health concern, which is often overlooked. Understanding the factors influencing the likelihood of seeking psychological support plays an important role in effectively managing depression in later life, where psychological support has a crucial role. This study aims to examine the factors associated with the likelihood of receiving psychological support among individuals aged 60 years and older experiencing depression in Türkiye. Methods: This study used microdata from the Türkiye Health Surveys conducted by Turkish Statistical Institute in 2016, 2019, and 2022. Gompit, binary logistic regression, and CHAID analyses were used to identify variables associated with psychological support-seeking behavior among older adults with depression. Results: The analysis revealed that general health status, illness status, gender, education level, and difficulty in healthcare payment significantly influenced the likelihood of receiving psychological support among older adults with depression. Conclusion: The results achieved in this study indicate that among older adults experiencing depression, women, those with higher educational levels, and those with existing illnesses are more likely to seek psychological support. Based on these results, it is recommended to develop educational programs to raise societal awareness about the importance of psychological support and to inform health policies accordingly.

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  AtıfScopus4·WoS4·OpenAlex4

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