Baseline and Changes in Internet Use and Incident Depression in Middle-Aged and Older Chinese Adults

ObjectiveInternet use had been correlated with depression previously. But the association between dynamic changes in internet use status and depression remains unclear. Therefore, the objective of this study was to explore whether changes in internet use status could affect the risk of depression.MethodAll the data were from China Health and Retirement Longitudinal Study (CHARLS). We selected wave 3 (2015) and wave 4 (2018) as the baseline and dynamic changes analyses, respectively. A total of 11,335 participants were included. Internet use was assessed by questionnaire, and depression was assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Multivariable logistic regression models were employed to assess the association of internet use and changes with risk of depression.ResultAfter adjusting for potential confounders, baseline internet use was negatively associated with risk of developing depression. After 2-year follow-up, compared with those who did not use the internet in either 2015 or 2018 (non-users), people who ever used (OR = 0.81, 95% CI = 0.58-0.98), or continuously used the internet (OR = 0.64, 95% CI = 0.51-0.82) demonstrated a lower risk of incident depression. Moreover, the risk of the depression significantly declined when the offline individuals commenced using the internet (OR = 0.66, 95% CI = 0.55-0.79).ConclusionInternet use and initiation of Internet use were associated with reduced risk of developing depression in middle aged and older Chinese adults.

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Publication Details

Journal
The International Journal of Psychiatry in Medicine
Published
2025-11-10
DOI
https://doi.org/10.1177/00912174251398684
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
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article

Baseline and Changes in Internet Use and Incident Depression in Middle-Aged and Older Chinese Adults

QingShan WANG, Ting He, Yi Zeng, Weijun Hong
The International Journal of Psychiatry in Medicine
Technology Use by Older Adults
article

Baseline and Changes in Internet Use and Incident Depression in Middle-Aged and Older Chinese Adults

QingShan WANG, Ting He, Yi Zeng, Weijun Hong
article en

Abstract

ObjectiveInternet use had been correlated with depression previously. But the association between dynamic changes in internet use status and depression remains unclear. Therefore, the objective of this study was to explore whether changes in internet use status could affect the risk of depression.MethodAll the data were from China Health and Retirement Longitudinal Study (CHARLS). We selected wave 3 (2015) and wave 4 (2018) as the baseline and dynamic changes analyses, respectively. A total of 11,335 participants were included. Internet use was assessed by questionnaire, and depression was assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Multivariable logistic regression models were employed to assess the association of internet use and changes with risk of depression.ResultAfter adjusting for potential confounders, baseline internet use was negatively associated with risk of developing depression. After 2-year follow-up, compared with those who did not use the internet in either 2015 or 2018 (non-users), people who ever used (OR = 0.81, 95% CI = 0.58-0.98), or continuously used the internet (OR = 0.64, 95% CI = 0.51-0.82) demonstrated a lower risk of incident depression. Moreover, the risk of the depression significantly declined when the offline individuals commenced using the internet (OR = 0.66, 95% CI = 0.55-0.79).ConclusionInternet use and initiation of Internet use were associated with reduced risk of developing depression in middle aged and older Chinese adults.

The International Journal of Psychiatry in MedicineVol. 61(2)
Jinan University (CN), Fudan University (CN), Southern University of Science and Technology (CN), Minhang District Central Hospital (CN), Shanghai Zhabei District Shibei Hospital (CN)
Openalex Percentile: Top 43%
Technology Use by Older Adults
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