Predictors of use of digital technology for communication among older adults: analysis of data from the health and retirement study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brady Lund
Keyword(s):  
Older Adults ◽  
Technology Adoption ◽  
Digital Technology ◽  
Psychological Factors ◽  
Self Esteem ◽  
Health And Retirement Study ◽  
Intellectual Curiosity ◽  
Mixed Effect ◽  
Content Type ◽  
Retirement Study

Purpose This study aims to examine the potential impact of eleven social and psychological factors – anxiety, closeness with family and friends, intellectual curiosity, life control, life satisfaction, physical health, religiosity, self-esteem, sociability, socioeconomic status and works status and demands – on the use of digital technology by older adults for the purpose of communicating with family and friends. Design/methodology/approach A path analysis, which uses ordinary least squares regression to examine relationships among variables, is used to perform a secondary analysis of data from the 2018 Health and Retirement Study. A correlation matrix, which displays the direct relationships among variables, is also incorporated. Findings Statistically significant direct influences are revealed between the use of digital technology for communication and three factors: intellectual curiosity, self-esteem, and sociability. These three factors are themselves moderated by the influences of the remaining eight factors. While most factors relate to an increase in the adoption of social uses of digital technology, increased anxiety and increased work demands (for those who are employed) are related to decreased adoption, while increased religiosity has a mixed effect (reduced intellectual curiosity but increased sociability). These findings suggest a few avenues for identifying and intervening in the lives of physically and socially isolated older adults, by illuminating correlates of technology adoption. Originality/value While many studies have examined factors that correlate to increased technology adoption, this study is original in that it focuses specifically on the use of digital technology for communication with family and friends (i.e. use of email, messaging, social media) while also focusing on social and psychological factors (many of which can be changed through intervention) rather than innate and uncontrollable factors like age, gender and ethnicity.

scholarly journals INTERNET USE AND LONELINESS OF OLDER ADULTS OVER TIME: THE MEDIATION EFFECT OF SOCIAL CONTACT

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S194-S194
Author(s):  
Kexin Yu ◽  
Kexin Yu ◽  
Shinyi Wu ◽  
Iris Chi
Keyword(s):  
Older Adults ◽  
Older People ◽  
Internet Use ◽  
Social Contact ◽  
Total Effect ◽  
Mediation Effect ◽  
Health And Retirement Study ◽  
Longitudinal Association ◽  
Retirement Study ◽  
Over Time

Abstract Internet is increasingly popular among older adults and have changed interpersonal interactions. However, it remains controversial whether older people are more or less lonely with internet use. This paper tests the longitudinal association of internet use and loneliness among older people. One pathway that explains the association, the mediation effect of social contact, was examined. Data from the 2006, 2010 and 2014 waves of Health and Retirement Study was used. Hierarchical liner modeling results showed internet use was related to decreased loneliness over 12-year period of time (b=-0.044, p<.001). Internet use was associated with more social contact with family and friends overtime (b=0.261, p<.001), social contact was related to less perceived loneliness longitudinally (b=0.097, p<.001). The total effect of internet use on loneliness is -0.054 and the mediated effect is -0.025. The findings imply that online activities can be effective for reducing loneliness for older people through increased social contact.

scholarly journals Everyday Discrimination and Kidney Function Among Older Adults: Evidence From the Health and Retirement Study

2019 ◽  
Vol 75 (3) ◽  
pp. 517-521
Author(s):  
Ryon J Cobb ◽  
Roland J Thorpe ◽  
Keith C Norris
Keyword(s):  
Older Adults ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Function ◽  
The United States ◽  
Health And Retirement Study ◽  
Disease Epidemiology ◽  
Lower Egfr ◽  
Everyday Discrimination ◽  
Retirement Study

Abstract Background With advancing age, there is an increase in the time of and number of experiences with psychosocial stressors that may lead to the initiation and/or progression of chronic kidney disease (CKD). Our study tests whether one type of experience, everyday discrimination, predicts kidney function among middle and older adults. Methods The data were from 10 973 respondents (ages 52–100) in the 2006/2008 Health and Retirement Study, an ongoing biennial nationally representative survey of older adults in the United States. Estimated glomerular filtration rate (eGFR) derives from the Chronic Kidney Disease Epidemiology Collaboration equation. Our indicator of everyday discrimination is drawn from self-reports from respondents. Ordinary Least Squared regression (OLS) models with robust standard errors are applied to test hypotheses regarding the link between everyday discrimination and kidney function. Results Everyday discrimination was associated with poorer kidney function among respondents in our study. Respondents with higher everyday discrimination scores had lower eGFR after adjusting for demographic characteristics (B = −1.35, p < .05), and while attenuated, remained significant (B = −0.79, p < .05) after further adjustments for clinical, health behavior, and socioeconomic covariates. Conclusions Our study suggests everyday discrimination is independently associated with lower eGFR. These findings highlight the importance of psychosocial factors in predicting insufficiency in kidney function among middle-aged and older adults.

How Self-Employed Older Adults Differ by Age: Evidence and Implications From the Health and Retirement Study

2020 ◽  
Author(s):  
Cal J Halvorsen
Keyword(s):  
Older Adults ◽  
Binary Logistic Regression ◽  
Later Life ◽  
Safety Net ◽  
Risk Tolerance ◽  
Health And Retirement Study ◽  
Retirement Benefits ◽  
Self Employment ◽  
Design And Methods ◽  
Retirement Study

Abstract Background and Objectives There has been increased attention in recent years on self-employment in later life, with about 1 in 5 workers past of the age of 50 working for themselves. This study aims to build upon previous documentation of the characteristics of self-employed older adults by estimating how these characteristics vary by age. Research Design and Methods Using 7 waves of the Health and Retirement Study with a sample of more than 16,000 working older adults, this study considers how the association between self-employment and sociodemographic characteristics; indicators of human, social, and financial capital; and risk tolerance differ between adults aged 50–61 and 62 years and older. Binary logistic regression and seemingly unrelated estimation are used to estimate and compare the characteristics by age group. Results Compared to wage-and-salary work and controlling for all other factors in the models, the oldest self-employed group was more likely to identify as Black, report lower health, and receive health insurance from several sources than the younger group. Further, the older group reported lower individual earnings from work yet higher total household income (less individual earnings) and was also less likely to formally volunteer at the highest commitment levels. Discussion and Implications With some exceptions, these results indicate that the diversity of self-employed older adults within traditional retirement age is greater than among those before this age. Implications regarding how access to key safety net programs, such as Social Security retirement benefits and Medicare, may lead to this finding are discussed.

Arthritis, Depression, and Falls Among Community-Dwelling Older Adults: Evidence From the Health and Retirement Study

2016 ◽  
Vol 37 (9) ◽  
pp. 1133-1149 ◽  
Author(s):  
Lien T. Quach ◽  
Jeffrey A. Burr
Keyword(s):  
Older Adults ◽  
Health Care Providers ◽  
Community Dwelling ◽  
Health And Retirement Study ◽  
Depression Symptoms ◽  
Care Providers ◽  
Significant Depression ◽  
Nationally Representative ◽  
Clinically Significant ◽  
Retirement Study

The aims of this study were to examine the association between different types of arthritis and falls and to investigate whether clinically significant depression symptoms (CSDS) moderate these relationships. The study used nationally representative data from the 2008 Health and Retirement Study ( n = 7,715, M age = 75, 62% female, and 90% White). Among the respondents, 42% experienced at least one fall during the previous 2 years. About one third had some form of arthritis: 22% osteoarthritis (OA), 4.8% rheumatoid arthritis (RA), 2.3% both OA and RA, and 7.9% with other arthritis types. About one fifth of respondents had CSDS. OA and CSDS are associated with the odds of falling (17% and 29%, respectively), adjusting for socio-demographic characteristics, lifestyle, health conditions, and psychiatric medications. There was no statistically significant interaction between types of arthritis and CSDS. Health care providers should pay attention to managing arthritis, especially OA, and CSDS to prevent falls among older adults.

scholarly journals Genetic heterogeneity in depressive symptoms following the death of a spouse: Polygenic score analysis of the US Health and Retirement Study

2016 ◽  
Author(s):  
Benjamin W. Domingue ◽  
Hexuan Liu ◽  
Aysu Okbay ◽  
Daniel W. Belsky
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Life Stress ◽  
Genome Wide Association Study ◽  
The United States ◽  
Health And Retirement Study ◽  
Polygenic Score ◽  
Polygenic Scores ◽  
Retirement Study

AbstractExperience of stressful life events is associated with risk of depression. Yet many exposed individuals do not become depressed. A controversial hypothesis is that genetic factors influence vulnerability to depression following stress. This hypothesis is most commonly tested with a “diathesis-stress” model, in which genes confer excess vulnerability. We tested an alternative model, in which genes may buffer against the depressogenic effects of life stress. We measured the hypothesized genetic buffer using a polygenic score derived from a published genome-wide association study (GWAS) of subjective wellbeing. We tested if married older adults who had higher polygenic scores were less vulnerable to depressive symptoms following the death of their spouse as compared to age-peers who had also lost their spouse and who had lower polygenic scores. We analyzed data from N=9,453 non-Hispanic white adults in the Health and Retirement Study (HRS), a population-representative longitudinal study of older adults in the United States. HRS adults with higher wellbeing polygenic scores experienced fewer depressive symptoms during follow-up. Those who survived death of their spouses during follow-up (n=1,829) experienced a sharp increase in depressive symptoms following the death and returned toward baseline over the following two years. Having a higher polygenic score buffered against increased depressive symptoms following a spouse's death. Effects were small and clinical relevance is uncertain, although polygenic score analyses may provide clues to behavioral pathways that can serve as therapeutic targets. Future studies of gene-environment interplay in depression may benefit from focus on genetics discovered for putative protective factors.

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