Impacts of Internet Use on Senior Citizens’ Depressive Symptoms in China: Urban-Rural Differences (Preprint)

2020 ◽  
Author(s):  
Kai Sun ◽  
Yuxiang Chris Zhao ◽  
Xiaofeng Tao ◽  
Junjie Zhou ◽  
Qianqian Liu
Keyword(s):  
Regression Analysis ◽  
Depressive Symptoms ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Internet Use ◽  
Senior Citizens ◽  
The Internet ◽  
Depression Symptoms ◽  
Difference In Difference ◽  
Urban Rural

BACKGROUND Although existing studies report that Internet use can help senior citizens coping with depressive symptoms, so far limited studies have explored the impacts of Internet use on urban and rural senior citizens’ depression symptoms. OBJECTIVE This study aims to address the above gap and explore the impacts of Internet use on urban and rural senior citizens’ depressive symptoms in China. METHODS We use the data from the China Health and Retirement Longitudinal Study (CHARLS). We use the panel-data regression to examine the relationship between Internet use and depression. In order to obtain robust evidence, we built a treatment group by selecting senior citizens who did not use the Internet in 2013 (Wave 2) but did use it in 2015 (Wave 4), and a control group by selecting senior citizens who did not use the Internet in either Wave based on the propensity score matching (PSM) approach. We then examined the impacts of Internet use with linear regression analysis based on the difference-in-difference (DID) approach. RESULTS The empirical results indicate that Internet use could significantly alleviate rural senior citizens’ depression (β=-2.187, P=.006). The Frequency of Online have consistent effect on depression (β= -1.091, P=.001). In addition, the impacts of Internet use on rural senior citizens’ three specific depressive symptoms are significant (“I had trouble keeping my mind on what I was doing”, β= -0.537, P=.008; “I felt depressed”, β= -0.315, P=.014; “I felt everything I did was an effort”, β= -0.355, P=.021). The propensity score matching and difference-in-difference analysis is consistent with the results of panel date regression analysis. CONCLUSIONS Urban-rural differences exist in the impacts of Internet use on senior citizens’ depressive symptoms. Rural senior citizens’ depressive symptoms can be alleviated by Internet use and the frequency of Internet use. Policy makers should provide rural senior citizens more opportunities to access the Internet and more Internet-skill trainings to enable them to better utilize the Internet.

scholarly journals Internet Use and Depressive Symptoms Among Older Adults in China

2021 ◽  
Vol 12 ◽  
Author(s):  
Hua-lei Yang ◽  
Shuo Zhang ◽  
Si-qing Zhang ◽  
Lin Xie ◽  
Yuan-yang Wu ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Internet Use ◽  
Social Contact ◽  
The Elderly ◽  
Easy Access ◽  
The Internet ◽  
Depression Symptoms ◽  
Commercial Activity ◽  
Frequency Of Contact

This study investigated the effect of using the Internet on depression symptoms of older Chinese, based on 7,801 adults aged over 60 years from the 2018 China Family Panel Studies. Results showed that the elderly who used the Internet reported lower depression scores, and the more frequent they use Internet, the lower their depression scores. Moreover, using the Internet for social contact and entertainment decreased the depression scores of the older adults, but when using Internet for learn, work, and commercial activity, the relief of depressive symptoms disappeared. Therelief of depression symptoms through Internet use were heterogeneous among different groups: the elderly aged 60–70, women, rural residents, and those with lower education attainment. Moreover, Internet use decreased the depression scores by increasing the frequency of contact with their children and increasing the importance of their enjoyment of life. According to the relief of depression by using Internet reasonably, policies should be designed to ensure that all ages could have easy access to the Internet.

Determinants of Internet Use by Senior Generation

2016 ◽  
Vol 12 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Olfa Bouzaabia ◽  
Rym Bouzaabia ◽  
Alexandru Capatina
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Internet Use ◽  
Senior Citizens ◽  
Research Data ◽  
Cultural Backgrounds ◽  
Confirmatory Factor ◽  
Cognitive Age

The aim of this paper is to investigate and compare the determinants of Internet use by senior generation among Tunisian and Romanian context that have different economic and cultural backgrounds. Research data were taken from a survey carried out on 400 online senior citizens (200 Tunisian and 200 Romanian). Data were analyzed by using confirmatory factor analysis and multiple regression analysis. Results show that cognitive age, Familial Loneliness and Social Anxiety have a significant effect on internet use for surfing and seeking information and not for buying. It was also found in the Romania sample the most determinant of internet use was Familial loneliness, while, social Anxiety was the most determinant of internet use, in the Tunisian sample.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

The SOE Channel of Monetary Policy Transmission: Evidence from China's Economic Stimulus Package

2021 ◽  
pp. 1-21
Author(s):  
Wenbin Chen ◽  
Shi-Zhuan Han ◽  
Jie Li ◽  
Tianhang Zhou
Keyword(s):  
Monetary Policy ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Bank Loans ◽  
Monetary Policy Transmission ◽  
Difference In Difference ◽  
Policy Transmission ◽  
High Level ◽  
Stimulus Package

Abstract We examine the state-owned enterprises (SOEs) channel in monetary policy transmission in the context of China's 2008 stimulus package. Using a difference-in-difference approach, we show that the higher SOE share in the cities after the stimulus package, the more bank loans issued in the cities. Furthermore, we find that the role of SOEs in monetary policy transmission is more significant in underdeveloped cities and cities with a high level of government intervention. We adopt propensity score matching difference-in-difference to deal with potential endogeneity problem. The baseline results also survive a series of robustness tests.

scholarly journals Gender differences in the impact of retirement on depressive symptoms among middle-aged and older adults: A propensity score matching approach

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0212607 ◽  
Author(s):  
Jin-Won Noh ◽  
Young Dae Kwon ◽  
Lena Jumin Lee ◽  
In-Hwan Oh ◽  
Jinseok Kim
Keyword(s):  
Older Adults ◽  
Gender Differences ◽  
Depressive Symptoms ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Middle Aged ◽  
The Impact

scholarly journals Efficacy and Tolerability of Nintedanib in Idiopathic-Inflammatory-Myopathy-Related Interstitial Lung Disease: A Pilot Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Junyu Liang ◽  
Heng Cao ◽  
Yang Yang ◽  
Yini Ke ◽  
Ye Yu ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Interstitial Lung Disease ◽  
Propensity Score ◽  
Lung Disease ◽  
Propensity Score Matching ◽  
Dosage Reduction ◽  
Inflammatory Myopathy ◽  
Idiopathic Inflammatory Myopathy ◽  
Regression Analyses ◽  
Therapy Discontinuation

Objectives: To initially clarify the efficacy and tolerability of nintedanib in patients with idiopathic-inflammatory-myopathy-related interstitial lung disease (IIM-ILD).Methods: A retrospective, real-world analysis was conducted in IIM-ILD patients who regularly received outpatient visit or hospitalization from January 2018 to March 2020 in three centers. And the patients were divided into two groups depending on presence or absence of nintedanib therapy. Comparisons, Kaplan-Meier survival analysis and propensity score matching were made to identify difference in time to death from any cause, incidence of rapidly progressive interstitial lung disease (RP-ILD) and comorbidity of pulmonary infection between the two groups. The following logistic regression analyses and Cox proportional-hazard regression analyses were used to verify the therapeutic value of nintedanib as well as clinical significance of other factors. Adverse events were descriptively recorded.Results: Thirty-six patients receiving nintedanib therapy and 115 patients without use of nintedanib were included. Before and after propensity score matching, the primary comparisons revealed better survival (P = 0.015, P = 0016, respectively) and lower incidence of RP-ILD (P = 0.017, P = 0.014, respectively) in patients with nintedanib therapy. Logistic regression analysis identified that disease activity (P &lt; 0.001), percent-predicted diffusing capacity of the lung for carbon monoxide (DLCO%, P = 0.036), nintedanib therapy (P = 0.004, OR value = 0.072) and amyopathic dermatomyositis (ADM, P = 0.012) were significantly correlated with RP-ILD. Cox proportional hazards regression analysis suggested that disease activity (P &lt; 0.001), anti-MDA5 antibody (P &lt; 0.001) and nintedanib therapy (P = 0.013, HR value=0.268) were significantly associated with survival of IIM-ILD patients. Similar results can also be seen in analyses after propensity score matching. In the 36 patients with nintedanib therapy, diarrhea was the most common adverse event (44.4%) and hepatic insufficiency contributed to most dosage reduction (44.4% of nine patients) or therapy discontinuation (60.0% of five patients).Conclusions: Nintedanib was found to reduce incidence of RP-ILD and improve survival in IIM-ILD patients in a real-world setting. Anti-MDA5 antibody could be taken as a risk factor for unfavorable outcome. ADM was significantly correlated with occurrence of RP-ILD. In addition to the most frequent diarrhea, hepatic insufficiency was closely related to dosage reduction or therapy discontinuation.

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