Digital health · 2024
Association between internet use and self-rated health of patients living with diabetes in the community.
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Mori Yuta, Tachi Tomoki, Hamano Hatsue, Kimura Keisuke, Matsumoto Kazutaka, Sakurai Hiroaki
Аннотация
OBJECTIVE: It is not clear whether self-rated health is associated with internet use among community-dwelling patients living with diabetes. This study investigated what kind and level of use of the internet is desirable for the subjective sense of health among patients living with diabetes in the community.
RESEARCH DESIGN AND METHODS: This was a cross-sectional study of patients living with diabetes aged 18 years or older who visited our clinic between April 2022 and June 2022. The final analysis included 654 subjects (mean age: 56-90 years). The objective variable was self-rated health, and the explanatory variable was purpose of internet use. We used logistic regression analysis to identify odds ratios (ORs) and 95% confidence intervals (CIs) for the association between internet use and self-rated health by purpose of internet use.
RESULTS: Of the 654 patients living with diabetes using our clinic, 488 (64.7%) were internet users. Communication with friends/family (66.6%) was the most common use of the internet, followed by social media (54.3%) and shopping (36.7%). Logistic regression models showed that social media (OR: 1.81; 95% CI [1.02, 3.21], p = 0.04), shopping for food and other items (OR: 1.95; 95% CI [1.00, 3.77], p = 0.04), online securities and banking (OR: 2.75; 95% CI [1.02, 7.39], p = 0.04) were associated with self-rated health.
CONCLUSIONS: Using the internet for social media, shopping, and banking were found to be associated with self-rated health. Use for these purposes could help support diabetic care.
RESEARCH DESIGN AND METHODS: This was a cross-sectional study of patients living with diabetes aged 18 years or older who visited our clinic between April 2022 and June 2022. The final analysis included 654 subjects (mean age: 56-90 years). The objective variable was self-rated health, and the explanatory variable was purpose of internet use. We used logistic regression analysis to identify odds ratios (ORs) and 95% confidence intervals (CIs) for the association between internet use and self-rated health by purpose of internet use.
RESULTS: Of the 654 patients living with diabetes using our clinic, 488 (64.7%) were internet users. Communication with friends/family (66.6%) was the most common use of the internet, followed by social media (54.3%) and shopping (36.7%). Logistic regression models showed that social media (OR: 1.81; 95% CI [1.02, 3.21], p = 0.04), shopping for food and other items (OR: 1.95; 95% CI [1.00, 3.77], p = 0.04), online securities and banking (OR: 2.75; 95% CI [1.02, 7.39], p = 0.04) were associated with self-rated health.
CONCLUSIONS: Using the internet for social media, shopping, and banking were found to be associated with self-rated health. Use for these purposes could help support diabetic care.