scholarly journals Longitudinal Associations Between Loneliness and Self-Rated Health

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 588-588
Author(s):  
Simon Brauer ◽  
Toni Antonucci ◽  
Ketlyne Sol
Keyword(s):  
Depressive Symptoms ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Later Life ◽  
Network Size ◽  
Time Points ◽  
Black And White ◽  
Self Rated Health ◽  
Bidirectional Association ◽  
Longitudinal Associations

Abstract Cross-lagged structural equation models examined the bidirectional association between loneliness and self rated health over three time points. We adjusted for age, gender, network size, and depressive symptoms at baseline. At baseline, the sample was 28% Black and 40% male. Average age at time 1 was 46 years, 56 years at time 2, and 63 years at time 3. Results indicated that loneliness at time 1 was associated with loneliness at time 2; loneliness at time 2 was associated with loneliness at time 3. We had similar findings for associations among self rated health. However, only one of the cross-lagged paths was significant. Specifically, more loneliness at time 2 was associated with worse self rated health at time 3. These associations did not vary across black and white race. Findings indicate that loneliness at later midlife may be detrimental to later life health, regardless of race.

Adolescent socioeconomic status and depressive symptoms in later life: Evidence from structural equation models

2018 ◽  
Vol 225 ◽  
pp. 702-708 ◽  
Author(s):  
Elizabeth C. Pino ◽  
Karla Damus ◽  
Brian Jack ◽  
David Henderson ◽  
Snezana Milanovic ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Later Life

scholarly journals Baseline Body Mass Predicts Average Depressive Symptoms over the Next Two Decades for White but Not Black Older Adults

Geriatrics ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 14 ◽  
Author(s):  
Shervin Assari
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Racial Differences ◽  
Body Mass ◽  
Structural Equation ◽  
Structural Equation Models ◽  
The United States ◽  
Bidirectional Association ◽  
National Cohort ◽  
Baseline Bmi

Background: Although obesity and depression have a bidirectional association, this link may vary based on race. The current study tested racial variation in bidirectional links between depressive symptoms and body mass index (BMI) over 24 years of follow-up in older adults over the age of 50 in the United States. We hypothesized weaker bidirectional links in Blacks compared to Whites. Methods: Data came from waves 1 to 12 (1990 to 2014) of the Health and Retirement Study (HRS), an ongoing state-of-the-art national cohort. The study followed a representative sample of Americans (n = 15,194; 2,200 Blacks and 12,994 Whites) over the age of 50. Dependent variables were average depressive symptoms and BMI over 24 years, based on measurements every other year, from 1990 to 2014. Independent variables included baseline depressive symptoms and BMI. Covariates included age, gender, marital status, veteran status, and activities of daily living. Structural equation models were fitted to the data for data analysis. Results: In the pooled sample, bidirectional associations were found between BMI and depressive symptoms as baseline BMI predicted average depressive symptoms over time and baseline depressive symptoms predicted average BMI over 24 years. Racial differences were found in the bidirectional association between BMI and depressive symptoms, with both directions of the associations being absent for Blacks. For Whites, baseline BMI predicted average depressive symptoms over the next 24 years. Conclusion: Reciprocal associations between BMI and depressive symptoms over a 24-year period among individuals over the age of 50 vary for Blacks and Whites. As these associations are stronger for Whites than Blacks, clinical and public health programs that simultaneously target comorbid obesity and depression may be more appropriate for Whites than Blacks.

Associations Between Social Connectedness, Emotional Well-Being, and Self-Rated Health Among Older Adults: Difference by Relationship Status

2018 ◽  
Vol 41 (4) ◽  
pp. 336-361 ◽  
Author(s):  
Ashley E. Ermer ◽  
Christine M. Proulx
Keyword(s):  
Older Adults ◽  
Social Network ◽  
Structural Equation ◽  
Social Connectedness ◽  
Structural Equation Models ◽  
Well Being ◽  
Network Size ◽  
Relationship Status ◽  
Friend Support ◽  
Self Rated Health

The present study investigates the association between social connectedness (i.e., social network characteristics, family and friend support, and social ties with neighbors), emotional well-being, and self-rated health and whether these associations differ based on respondents’ relationship status among adults aged 62 and older. A series of multigroup generalized structural equation models (GSEMs) were conducted using data from the National Social, Health, and Aging Project. Social connectedness items were mostly positively associated with emotional well-being and self-rated health, and several of these associations are stronger for older adults who are unpartnered versus those who are cohabiting or married. Cohabiting and married individuals do not appear to have the same associations between social network size, friend support, and emotional well-being compared to unpartnered older adults. The present study lends support for how a variety of social supports are vital for older adults and their well-being.

scholarly journals Sleep and Loneliness as Mechanisms Through Which Marital Quality Predicts Depression Among Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 34-35
Author(s):  
Christina Marini ◽  
Lynn Martire ◽  
Orfeu Buxton
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Marital Quality ◽  
Social Life ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Later Life ◽  
Well Being

Abstract Pathways through which spousal support and strain influence older adults’ well-being are poorly understood. We examined sleep quality and loneliness as mechanisms through which support and strain predict depressive symptoms across ten years utilizing National Social Life, Health, and Aging Project data. Our sample included partnered participants at waves 1 and 2 (N = 1,293; 39% female, M age = 66, SD = 6.93). Support (e.g., rely on spouse) and strain (e.g., spouse criticizes you) were measured at W1, loneliness (UCLA) and sleep quality (restless sleep) were measured at W2, and depression (CES-D) was measured at W3. We estimated latent-variable structural equation models, controlling for age, gender, and W1 depression. Indirect effects of support and strain on depressive symptoms through loneliness were significant. There was an additional trend-level indirect effect of spousal strain on depressive symptoms through restless sleep. Findings highlight multiple pathways through which marital quality predicts later-life well-being.

scholarly journals Longitudinal Associations between Internalizing Symptoms, Dispositional Mindfulness, Rumination and Impulsivity in Adolescents

2021 ◽  
Author(s):  
Estíbaliz Royuela-Colomer ◽  
Liria Fernández-González ◽  
Izaskun Orue
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Internalizing Symptoms ◽  
Protective Factor ◽  
Negative Association ◽  
Dispositional Mindfulness ◽  
Vulnerability Factors ◽  
Time Points ◽  
Longitudinal Associations ◽  
One Year

AbstractMindfulness has been associated with fewer negative mental health symptoms during adolescence, but fewer studies have examined longitudinal associations between mindfulness and symptoms in conjunction with two vulnerability factors for psychopathology with mindfulness: rumination and impulsivity. This study examined longitudinal associations between internalizing symptoms (depression, anxiety, stress), mindfulness, rumination, and impulsivity over a one-year period among 352 Spanish adolescents (57.4% girls; M = 14.47, SD = 1.34). Participants completed self-reported measures of symptoms, mindfulness, rumination, and impulsivity at two time points. Mindfulness negatively predicted stress and depressive symptoms, and a bidirectional negative association was found between mindfulness and impulsivity. Impulsivity positively predicted stress, and anxiety positively predicted depressive symptoms, stress, and rumination. This study highlights the importance of mindfulness as a protective factor and impulsivity and anxiety as risk factors for internalizing symptoms throughout adolescence. These findings build on previous studies that examined longitudinal associations between mindfulness and symptoms by including rumination and impulsivity’s roles.

scholarly journals Profile Groups Based on Lifestyle and Differences in Mental Health and Cognition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Latent Class ◽  
Mail Survey ◽  
Later Life ◽  
Self Rated Health ◽  
Final Sample ◽  
Group 2 ◽  
Mean Differences

Abstract The purpose of this study was to identify the profiles of older adults according to lifestyle. Data for the study were from the 2017 Consumption and Activities Mail Survey (CAMS). CAMS 2017 is a questionnaire mailed to a sub-sample of respondents from the Health and Retirement Study. Participants were limited to older adults 65 and older, and the final sample consisted of 1136 older adults. The sample included 443 men and 693 women. Caucasians comprised 82.0% of the participants. Lifestyle was measured through items assessing the amount of time spent on activities. Due to high skewness, the items were dichotomized, 0=no time spent on activity and 1=time spent on the activity. Latent class analysis (LCA) was performed to identify groups based on lifestyle. LCA is a person-centered approach for identifying unobserved subgroups based on similarity in responses to items. Three lifestyle groups were identified. Group 1 was “Outgoing” with 471 individuals. Group 2 was “Adequate” with 229 individuals. Group 3 was “Inactive” with 436 individuals. An ANOVA was then conducted to assess mean differences in self-rated health, cognition, depressive symptoms, and loneliness for the three lifestyle groups. The “Outgoing” and “Adequate” groups had significantly higher scores on self-rated health and cognition, and in addition, significantly lower scores on depressive symptoms and loneliness compared to the “Inactive” group. No significant differences were observed between the “Outgoing” and “Adequate” groups. An implication from this study is the importance of maintaining an active lifestyle in later life for better mental health and cognition.

scholarly journals EMOTIONS AND WELL-BEING IN LATER LIFE CHILDHOOD HAPPINESS, SELF-MASTERY, AND LATER-LIFE HEALTH

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S576-S576
Author(s):  
Haena Lee ◽  
Markus H Schafer
Keyword(s):  
Depressive Symptoms ◽  
Family Environment ◽  
Social Life ◽  
Successful Aging ◽  
Living Arrangement ◽  
Later Life ◽  
Well Being ◽  
Adult Health ◽  
Growing Up ◽  
Self Rated Health

Abstract Considerable work has documented that positive childhood memories, especially childhood happiness, predict better health among young adults. However, it is not known whether growing up happy has enduring health consequences across the life course. Using two waves of the National Social Life, Health and Aging Project (2010-2011 and 2015-2016; N = 1,937), we investigate the relationship between childhood happiness and changes in physical, mental, and biological functioning in later life. Childhood happiness was retrospectively assessed using a question: “When I was growing up, my family life was always happy.” Self-rated health, depressive symptoms, and frailty over a five-year period were examined to reflect changes in functional status. Childhood SES and living arrangement were examined to assess childhood sociodemographic background. Educational attainment, family support and strain, and self-mastery were considered as potential mediators. We find that, among other childhood factors, childhood happiness significantly predicts older adult health. Specifically, childhood happiness was associated with better self-rated health and lower depressive symptoms at follow-up, net of baseline health conditions. We did not find a relationship between frailty and childhood happiness. Unlike prior work, we found no significant effect of childhood SES on the measured outcomes. Associations between childhood happiness and self-rated health and depression were mediated by psychosocial resources including self-mastery and perceived social support from family members. This implies that growing up in nurturing, cherished family environment has the potential to cultivate social relationships and build resilience which could provide an important pathway to successful aging.

Pathways Between Acculturation and Health

2011 ◽  
Vol 33 (4) ◽  
pp. 524-539 ◽  
Author(s):  
Patricia Y. Miranda ◽  
Hector M. González ◽  
Wassim Tarraf
Keyword(s):  
Depressive Symptoms ◽  
Cognitive Function ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Depression Scale ◽  
The Elderly ◽  
Population Based ◽  
Epidemiologic Studies ◽  
Functional Health ◽  
Cross Sectional

The purpose of this study was to assess the association between acculturation and functional health using multiple proxies of acculturation to examine explanatory pathways to clarify disparate health findings. A population-based cross-sectional, multistage probability sample from the Hispanic Established Populations for the Epidemiologic Studies of the Elderly ( N = 3,050) was used. The dependent variables of neuropsychiatric function were depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D]) and cognitive function (mini-mental state examination [MMSE]) examined in separate multivariable regression and structural equation models to examine the pathways between acculturation proxies and neuropsychiatric function. Findings indicated that three acculturation proxies were associated with cognitive function but none were associated with depressive symptoms. English proficiency fully mediated the associations between other acculturation proxies and cognitive function. The findings suggest that language plays a central role in the pathway between acculturation and health among Mexican-origin populations.

Gender differences in heritability of depressive symptoms in the elderly

2004 ◽  
Vol 34 (3) ◽  
pp. 471-479 ◽  
Author(s):  
M. JANSSON ◽  
M. GATZ ◽  
S. BERG ◽  
B. JOHANSSON ◽  
B. MALMBERG ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Antidepressant Medication ◽  
The Elderly ◽  
Epidemiological Studies ◽  
Same Sex ◽  
Environmental Variance ◽  
Depressed State ◽  
Heritability Estimates

Background. The present study aimed to investigate the relative importance of genetic and environmental influences on depressive symptoms in the elderly.Methods. Depressive symptoms were assessed through the Center for Epidemiological Studies – Depression (CES-D) scale. The CES-D scale was administered to 959 twin pairs (123 female MZs, 90 male MZs, 207 same-sex female DZs, 109 same-sex male DZs and 430 opposite-sex DZs) aged 50 years or older (mean age 72 years). A dichotomous depressed state variable was constructed based on CES-D cut-offs and self-reported use of antidepressant medication. Structural equation models were fitted to the data to dissect genetic and environmental variance components.Results. The sex-specific heritability estimates for depressive symptoms were 14% for males and 29% for females and 23% when constrained to be equal for men and women. The prevalence of clinically significant depressive symptoms was 16% for men and 24% for women. Heritability estimates for the dichotomous depressed state measure were 7% for males and 49% for females in the full model and 33% when constrained to be equal.Conclusion. Our results suggest that depressive symptoms in the elderly are moderately heritable, with a higher heritability for women than men, although differences in heritability estimates were not statistically significant.

scholarly journals MOTIVATION TO LEARN, LITERACY, NUMERACY, AND LATER-LIFE ADULT EDUCATION PARTICIPATION IN THE U.S.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S664-S664
Author(s):  
Takashi Yamashita ◽  
Phyllis Cummins ◽  
Roberto J Millar ◽  
Shalini Sahoo ◽  
Thomas J Smith
Keyword(s):  
Older Adults ◽  
Adult Education ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Basic Skills ◽  
Later Life ◽  
Motivation To Learn ◽  
Latent Construct ◽  
Education Participation ◽  
The U.S

Abstract The objective of this study is to examine the associations between the motivation to learn, basic skills (i.e., literacy and numeracy), and organized formal and non-formal adult education and training (AET) participation among middle-aged and older adults in the U.S. Rapid technological advancement and globalization requires that adults engage in lifelong learning to actively participate in society. However, little is known about the roles of motivation to learn and basic skills in AET participation among aging adults in the U.S. We obtained restricted data from the 2012/2014 Program for International Assessment of Adult Competencies, and included adults aged 50 years and older (n = 2,580) in the analysis. Structural equation models were used to examine (1) any AET, (2) formal AET and (3) non-formal AET participation as a function of the latent construct of motivation to learn, literacy and numeracy scores (0 – 500), and covariates. Per the confirmatory factor analysis, the motivation to learn latent construct was a valid measure among the older adults. Results from the structural equation models showed that the motivation to learn (b = 0.35, p < 0.05), literacy (b = 0.05, p < 0.05) and numeracy (b = 0.03, p < 0.05) are all positive predictors of non-formal AET participation. However, only motivation to learn (b = 0.47, p < 0.05) is associated with formal AET participation. Findings from this study inform future interventions as well as policy changes to promote specific types of organized AET programs among the aging populations in the U.S.

Sign in / Sign up

Export Citation Format

Share Document