Dataset Information

Assessing the Impact of Internet Skills on Depressive Symptoms Among Chinese Middle-Aged and Older Adults: Cross-Sectional Instrumental Variables Analysis.

ABSTRACT:

Background

The potential benefits of IT for the well-being of older adults have been widely anticipated. However, findings regarding the impact of internet use on depressive symptoms are inconsistent. As a result of IT's exponential growth, internet skills have supplanted internet access as the source of the digital divide.

Objective

This study evaluates the effect of internet skills on depressive symptoms through an instrumental variables (IV) approach.

Methods

Data from the China Health and Retirement Longitudinal Study's wave 4 (2018) were used. This included 16,949 community residents aged 45 years and older. To overcome the endogeneity issue, we used an IV approach.

Results

Our results reveal the emergence of a second-level digital divide, the disparity in internet skills, among Chinese middle-aged and older adults. Liner regression suggests that a 1% increase in internet skills is associated with a 0.037% decrease in depressive symptoms (β=-.037, SE 0.009), which underestimates the causal effect. As expected, internet skills are an endogenous variable (F test P value <.001). IV regressions indicate that a 1% increase in internet skills reduces 1.135% (SE 0.471) to 1.741% (SE 0.297) of depressive symptoms. These 2 IV are neither weak (F-1=16.7 and 28.5; both >10) nor endogenous (Wu-Hausman test P value of .10; >.05 or >.01).

Conclusions

Better mental health is predicted through improved and higher internet skills. Consequently, residents and policy makers in China should focus on bridging the digital divide in internet skills among middle-aged and older adults.

SUBMITTER: Mu A

PROVIDER: S-EPMC11004627 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Publications

Assessing the Impact of Internet Skills on Depressive Symptoms Among Chinese Middle-Aged and Older Adults: Cross-Sectional Instrumental Variables Analysis.

Mu Aruhan A Liu Zhiyong Z

JMIR aging 20240321

<h4>Background</h4>The potential benefits of IT for the well-being of older adults have been widely anticipated. However, findings regarding the impact of internet use on depressive symptoms are inconsistent. As a result of IT's exponential growth, internet skills have supplanted internet access as the source of the digital divide.<h4>Objective</h4>This study evaluates the effect of internet skills on depressive symptoms through an instrumental variables (IV) approach.<h4>Methods</h4>Data from t ...[more]

PMID: 38533782

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Project description:BackgroundThis study aimed to assess the association between baseline symptoms and changes in depressive symptoms and stroke incidents.MethodsWe used data from the Chinese Health and Retirement Longitudinal Study conducted in 2013, 2015, and 2018. In total, 10,100 individuals aged ≥45 years and without a history of stroke in 2013 were included. Depressive symptoms were measured using the 10-item version of the Center for Epidemiological Studied Depression scale (elevated depressive symptoms cutoff ≥10). Changes of depressive symptoms were assessed by two successive surveys (stable low/no, recent onset, recently remitted, and stable high depressive symptoms). We assessed whether baseline depressive symptoms and changes of them were associated with stroke incidents reported through 2018. Logistic regression analyses adjusted for age, gender, education, marital status and other potential confounders were performed.ResultsFor the analysis of baseline depressive symptoms and stroke (n = 10,100), 545 (5.4%) reported stroke incidents in the following 5-year period. Individuals with elevated depressive symptoms in 2013 experienced a markedly higher stroke risk (odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.28-1.84) compared with those without elevated depressive symptoms. In the analysis of changes in depressive symptoms (n = 8491, 430 (5.1%) stroke events), participants with stable high (OR = 2.01, 95% CI = 1.58-2.56) and recent-onset (OR = 1.39, 95% CI = 1.04-1.85) depressive symptoms presented higher stroke risk compared to those with stable low/no depressive symptoms, while recently remitted symptoms (OR = 1.12, 95% CI = 0.80-1.57) were not associated with stroke risk.ConclusionsIn conclusion, stable high and newly started depressive symptoms were associated with increased stroke risk, whereas the improvement of depressive symptoms was not related to increase in stroke risk, suggesting that stroke risk may be decreased by effective management of depressive symptoms.

Project description:ImportanceThe prevalence of depressive symptoms among older adults has become an increasingly important public health priority. Elevated depressive symptoms are well documented among elderly people with cardiovascular disease (CVD), but studies conducted among Chinese adults are scarce.ObjectiveTo estimate the association between depressive symptoms and incident CVD among middle-aged and older Chinese adults.Design, setting, and participantsThe China Health and Retirement Longitudinal Study is an ongoing nationally representative prospective cohort study that was initiated in 2011. This cohort study included 12 417 middle-aged and older Chinese adults without heart disease and stroke at baseline. Statistical analysis was conducted from April 25, 2018, to December 13, 2018.ExposureDepressive symptoms were assessed using the validated 10-item of Center for Epidemiologic Studies Depression Scale.Main outcomes and measuresIncident CVD (ie, self-reported physician-diagnosed heart disease and stroke combined) was followed-up from June 1, 2011, to June 31, 2015. The Center for Epidemiologic Studies Depression Scale total score ranges from 0 to 30, with a score of 12 or more indicating elevated depressive symptoms.ResultsOf the 12 417 participants (mean [SD] age at baseline, 58.40 [9.51] years), 6113 (49.2%) were men. During the 4 years of follow-up, 1088 incident CVD cases were identified. Elevated depressive symptoms were independently associated with an increased CVD risk (adjusted hazard ratio, 1.39; 95% CI, 1.22-1.58) after adjusting for age, sex, residence, marital status, educational level, smoking status, drinking status, systolic blood pressure, and body mass index; history of diabetes, hypertension, dyslipidemia, and chronic kidney disease; and use of hypertension medications, diabetes medications, and lipid-lowering therapy. Of the 10 individual depressive symptoms measured by the Center for Epidemiologic Studies Depression Scale, only 2 symptoms, restless sleep (adjusted hazard ratio, 1.21; 95% CI, 1.06-1.39) and loneliness (adjusted hazard ratio, 1.21; 95% CI, 1.02-1.44), were significantly associated with incident CVD.Conclusions and relevanceElevated depressive symptoms overall and 2 individual symptoms (restless sleep and loneliness) were significantly associated with incident CVD among middle-aged and older Chinese adults.

Project description:BackgroundThe triple digital divide refers to the lack of internet access, use and knowledge among specific populations. In China, middle-aged and older adults and those living in rural areas or various regions of the country are more likely to have limited internet access and skills and, thus, have less accessibility to internet services. Few longitudinal studies have explored the association between the digital divide and the progression of depressive symptoms among middle-aged and older Chinese adults. Significantly, none of the existing studies have estimated this long-term relationship from a disparity perspective.AimsThis study investigates the association between the triple digital divide and depressive symptom trajectories among middle-aged and older adults in China during a 10-year follow-up period from 2011 to 2020.MethodsThe sample for this secondary analysis comprises 3019 urban and 10 427 rural respondents selected from the China Health and Retirement Longitudinal Study baseline survey in 2011. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale. Employing longitudinal mixed-effects models, this study explored the association between the triple digital divide and depressive symptom trajectories among middle-aged and older Chinese adults by examining gender, rural-urban and regional disparities in this relationship.ResultsOur findings revealed a significant association between the triple digital divide and increasing trajectories of depressive symptoms, showing significant disparities based on gender, rural-urban dwelling and regional location. Notably, for both male and female participants who resided in urban areas or the central region of the country, their ability to use the internet, coupled with enhanced internet skills and greater access to internet services, was found to have a mitigating effect on the increasing trajectories of depressive symptoms.ConclusionsTo alleviate some of the confounding influences on the trajectory of depression in middle-aged and older adults, policymakers in China should continue to prioritise the development of internet technology, foster easy access to the internet to ensure it is 'elder-friendly', provide internet skill training platforms for this population and broaden access to various internet services appropriate for them. Additionally, the implementation of tailored interventions to address depression, especially targeting the more vulnerable cohorts, such as middle-aged and older women, those residing in rural areas and the western regions, is crucial. Such tailored approaches are essential for addressing the disparities and challenges associated with the triple digital divide.

Dataset Information

Assessing the Impact of Internet Skills on Depressive Symptoms Among Chinese Middle-Aged and Older Adults: Cross-Sectional Instrumental Variables Analysis.

Background

Objective

Methods

Results

Conclusions

Publications

Assessing the Impact of Internet Skills on Depressive Symptoms Among Chinese Middle-Aged and Older Adults: Cross-Sectional Instrumental Variables Analysis.

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