Adaptation to the Information Society, Subjective Health Status, and Life Satisfaction Among Community-Dwelling Older Adults: A Cross-Sectional Secondary Analysis

Background/Objectives: Community-dwelling older adults face challenges adapting to a rapidly changing information society. This study examined the associations of subjective health status and life satisfaction with adaptation to the information society. Methods: This cross-sectional secondary data analysis used data from the 2023 Survey of the Status of the Elderly in Korea (4 September–12 November 2023). The study included 10,078 adults aged ≥ 65 years. Statistical analyses, including the chi-square test, independent samples t-test, Pearson’s correlation coefficient, multiple regression analysis, and multinomial logistic regression analysis, were performed using IBM SPSS for Windows. Results: Adaptation to the information society differed significantly according to general and information-related characteristics (all p < 0.001). Adaptation was positively correlated with subjective health status (r = 0.362, p < 0.001) and life satisfaction (r = 0.242, p < 0.001). Significant differences in subjective health status (t = −29.193, p < 0.001) and life satisfaction (t = −17.738, p < 0.001) were observed between adaptation groups. Multiple regression analysis indicated that subjective health status (β = 0.178, p < 0.001) and life satisfaction (β = 0.073, p < 0.001) were significantly associated with adaptation to the information society. The overall regression model explained 25.0% of the variance in adaptation to the information society (adjusted R2 = 0.250, F = 332.284, p < 0.001). Multinomial logistic regression analysis showed that subjective health status (OR = 2.313, 95% CI = 2.008–2.665, p < 0.001) and life satisfaction (OR = 1.449, 95% CI = 1.187–1.767, p < 0.001) were significantly associated with higher odds of belonging to the good adaptation group. Conclusions: Subjective health status and life satisfaction were significantly associated with adaptation to the information society among community-dwelling older adults. These findings suggest the importance of digital education, health promotion, and well-being support.

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Journal
Healthcare
Published
2026-11-09
DOI
https://doi.org/10.3390/healthcare14213825
Primary Topic
Technology Use by Older Adults
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article
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article

Adaptation to the Information Society, Subjective Health Status, and Life Satisfaction Among Community-Dwelling Older Adults: A Cross-Sectional Secondary Analysis

Jeong Hye Park, Se‐Won Kang, Ji-Ah Yun
Healthcare
Technology Use by Older Adults
article

Adaptation to the Information Society, Subjective Health Status, and Life Satisfaction Among Community-Dwelling Older Adults: A Cross-Sectional Secondary Analysis

Jeong Hye Park, Se‐Won Kang, Ji-Ah Yun
article en

Abstract

Background/Objectives: Community-dwelling older adults face challenges adapting to a rapidly changing information society. This study examined the associations of subjective health status and life satisfaction with adaptation to the information society. Methods: This cross-sectional secondary data analysis used data from the 2023 Survey of the Status of the Elderly in Korea (4 September–12 November 2023). The study included 10,078 adults aged ≥ 65 years. Statistical analyses, including the chi-square test, independent samples t-test, Pearson’s correlation coefficient, multiple regression analysis, and multinomial logistic regression analysis, were performed using IBM SPSS for Windows. Results: Adaptation to the information society differed significantly according to general and information-related characteristics (all p < 0.001). Adaptation was positively correlated with subjective health status (r = 0.362, p < 0.001) and life satisfaction (r = 0.242, p < 0.001). Significant differences in subjective health status (t = −29.193, p < 0.001) and life satisfaction (t = −17.738, p < 0.001) were observed between adaptation groups. Multiple regression analysis indicated that subjective health status (β = 0.178, p < 0.001) and life satisfaction (β = 0.073, p < 0.001) were significantly associated with adaptation to the information society. The overall regression model explained 25.0% of the variance in adaptation to the information society (adjusted R2 = 0.250, F = 332.284, p < 0.001). Multinomial logistic regression analysis showed that subjective health status (OR = 2.313, 95% CI = 2.008–2.665, p < 0.001) and life satisfaction (OR = 1.449, 95% CI = 1.187–1.767, p < 0.001) were significantly associated with higher odds of belonging to the good adaptation group. Conclusions: Subjective health status and life satisfaction were significantly associated with adaptation to the information society among community-dwelling older adults. These findings suggest the importance of digital education, health promotion, and well-being support.

HealthcareVol. 14(21)
Dongseo University (KR), Gyeongsang National University (KR)
Technology Use by Older Adults
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