scholarly journals Coupling Effects of Depression and Functional Disability: Using Bivariate Latent Change Score Model

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 941-941
Author(s):  
Gina Lee ◽  
Peter Martin
Keyword(s):  
Depressive Symptoms ◽  
Functional Disability ◽  
Coupling Effect ◽  
Spillover Effects ◽  
Change Score ◽  
Functional Health ◽  
Future Health ◽  
Bivariate Model ◽  
Latent Change Score ◽  
Univariate Model

Abstract The purpose of the study was to examine the coupling effect of depression and functional disability over four time points using the data from the Health and Retirement Study (HRS). The sample included participants who survived to 98 years or older (N = 458). Four alternative latent change score models were computed to examine the univariate and bivariate effects among depressive symptoms (CES-D) and functional disabilities (ADL): No-coupling, univariate model of ADL to change in CES-D, univariate model of CES-D to change in ADL, and bivariate model. As hypothesized, the no-coupling model did not fit the data well, χ2 (26) = 164.86, CFI = 0.85, RMSEA = 0.11. Model 2, ADL predicting change in CES-D, did not fit the data well, χ2 (25) = 164.18, CFI = 0.85, RMSEA = 0.11. Model 3, CES-D predicting change in ADL, also did not fit the data, χ2 (25) = 148.06, CFI = 0.87, RMSEA = 0.10. The bivariate model fit the data well, χ2 (21) = 66.94, CFI = 0.95, RMSEA = 0.07, and was the best fitting model. All level to change effects were significant in model 4. One’s CES-D at prior waves was positively associated with change in ADL at subsequent waves, and ADL at prior waves was positively associated with change in CES-D at subsequent waves. In conclusion, there is a significant coupling effect between depressive symptoms and ADL over time. Future health policies should monitor older adults’ mental and functional health simultaneously for their possible spillover effects.

scholarly journals Are Changes in Personality Traits and Alcohol Use Associated? A Cohort Study Among Young Swiss Men

2020 ◽  
Vol 11 ◽  
Author(s):  
Gerhard Gmel ◽  
Simon Marmet ◽  
Joseph Studer ◽  
Matthias Wicki
Keyword(s):  
Cohort Study ◽  
Alcohol Use ◽  
Personality Traits ◽  
Binge Drinking ◽  
Sensation Seeking ◽  
Change Score ◽  
Effect Sizes ◽  
Direction Of Effects ◽  
Latent Change Score ◽  
Second Wave

Objective: It is well known that certain personality traits are associated with alcohol use. Because less is known about it, we wished to investigate whether changes in alcohol use were longitudinally associated with changes in personality and in which direction the influence or causation might flow.Methods: Data came from the self-reported questionnaire answers of 5,125 young men at two time points during the Cohort study on Substance Use Risk Factors (C-SURF). Their average ages were 20.0 and 25.4 years old at the first and second wave assessments, respectively. Four personality traits were measured: (a) aggression–hostility; (b) sociability; (c) neuroticism–anxiety; and (d) sensation seeking. Alcohol use was measured by volume (drinks per week) and binge drinking (about 60+ grams per occasion). Cross-lagged panel models and two-wave latent change score models were used.Results: Aggression–hostility, sensation seeking, and sociability were significantly and positively cross-sectionally associated with both alcohol use variables. Drinking volume and these three personality traits bidirectionally predicted each other. Binge drinking was bidirectionally associated with sensation-seeking only, whereas aggression–hostility and sociability only predicted binge drinking, but not vice versa. Changes in alcohol use were significantly positively associated with changes in aggression–hostility, sensation seeking, and sociability. Associations reached small Cohen's effect sizes for sociability and sensation seeking, but not for aggression–hostility. Associations with neuroticism–anxiety were mostly not significant.Conclusion: The direction of effects confirmed findings from other studies, and the association between changes in personality and alcohol use support the idea that prevention programs should simultaneously target both.

scholarly journals Bivariate Latent-Change-Score Analysis of Peer Relations From Early Childhood to Adolescence: Leading or Lagging Indicators of Psychopathology

2021 ◽  
pp. 216770262096593
Author(s):  
Brent I. Rappaport ◽  
Joshua J. Jackson ◽  
Diana J. Whalen ◽  
David Pagliaccio ◽  
Joan L. Luby ◽  
...  
Keyword(s):  
Early Childhood ◽  
Peer Victimization ◽  
Peer Relations ◽  
Clinical Symptoms ◽  
Social Withdrawal ◽  
Externalizing Symptoms ◽  
Change Score ◽  
Leading Indicator ◽  
Score Analysis ◽  
Latent Change Score

Understanding longitudinal associations between problematic peer relations and psychopathology is needed to inform public health. Three models have been proposed: Poor peer relations (a) lead or are a risk factor for psychopathology, (b) lag or are a consequence of psychopathology, or (c) both lead and lag psychopathology. Another model is that poor peer relations lead or lag psychopathology depending on the developmental period. To test these models, youths’ peer relations and clinical symptoms were assessed up to six times between ages 3 and 11 in 306 children. Bivariate latent-change-score models tested leading and lagging longitudinal relationships between children’s peer relations (peer victimization/rejection, peer-directed aggression, social withdrawal, prosocial behavior) and psychopathology (depression, anxiety, and externalizing symptoms). Peer victimization/rejection was a leading indicator of depression from early childhood into preadolescence. Peer-directed aggression was a leading indicator of externalizing symptoms (in late childhood).

scholarly journals Self-rated health as a mediator between physical health conditions and depressive symptoms in older Chinese and Korean Americans

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245136
Author(s):  
Yuri Jang ◽  
Hyunwoo Yoon ◽  
Mengting Li ◽  
Nan Sook Park ◽  
David A. Chiriboga ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Physical Health ◽  
Chronic Diseases ◽  
Indirect Effect ◽  
Functional Disability ◽  
Korean Americans ◽  
Health Conditions ◽  
Self Rated Health ◽  
American Sample ◽  
Older Chinese

In the present study, we examined self-rated health as a mediator between physical health conditions (chronic diseases and functional disability) and depressive symptoms in older Chinese and Korean Americans. Using harmonized data (N = 5,063) from the Population Study of Chinese Elderly (PINE) and the Study of Older Korean Americans (SOKA), we tested direct and indirect effect models. In both groups, chronic diseases and functional disability were closely associated with negative ratings of health and symptoms of depression. Analyses with the PROCESS macro showed that the effect of chronic diseases and functional disability on depressive symptoms was mediated by self-rated health in both groups; the indirect effect was greater in the Korean American sample than in the Chinese American sample. These findings contribute to the understanding of the psychological mechanisms that underlie the mind–body connection and highlight the potential importance of subjective health assessment as a useful tool for health promotion.

scholarly journals Estimating age-based developmental trajectories using latent change score models based on measurement occasion

2019 ◽  
Author(s):  
Eduardo Estrada
Keyword(s):  
Repeated Measures ◽  
Developmental Process ◽  
Developmental Trajectories ◽  
Monte Carlo Study ◽  
Analytical Framework ◽  
Change Score ◽  
Model Fit ◽  
Time Range ◽  
Measurement Occasion ◽  
Latent Change Score

Estrada, Hamagami, & Ferrer, (2019). Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2019.1647822. Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score models (LCS) provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.

scholarly journals Association between functional disability and depressive symptoms among older adults in rural China: a cross-sectional study

2020 ◽  
Author(s):  
Jian Rong ◽  
Yanhong Ge ◽  
Xueqin Wang ◽  
Guimei Chen ◽  
Hong Ding
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Functional Disability ◽  
Rural China ◽  
Depression Scale ◽  
Classification And Regression Tree ◽  
Survey Study ◽  
Psychological State ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional

Abstract Background: The association between functional disability and depressive symptoms among elderly people in rural China is not clear. This study explored the relationship between functional disability and depressive symptoms, focusing on whether an interactive association between functional disability, demographic characteristics and depressive symptoms exists among older adults in rural Anhui, China.Methods: A cross-sectional survey study was conducted with multi-stage stratified random sampling. The 30-item Geriatric Depression Scale and WHO Disability Assessment Schedule 2.0 were used to evaluate depressive symptoms and functional disability, respectively. The data were analyzed using SPSS statistics 25.0 program with chi-square test, Mann-Whitney U test, binary logistic regression analysis, and classification and regression tree model.Results: The prevalence of depressive symptoms in 3336 older people was 52.94%. After adjustment, subjects who had problems in participation (adjusted odds ratio [AOR]=3.499, 95% confidence interval [CI]: 2.385-4.987), life activities (AOR=1.683, 95% CI: 1.370-2.066), getting along (AOR=1.616, 95% CI: 1.299-2.010), and mobility (AOR=1.842, 95% CI: 1.503-2.258) had an increased depressive symptoms risk. However, cognition (AOR=0.785, 95% CI: 0.647-0.953) negatively correlated with depressive symptoms. Additionally, the interactive association between functional disability dimensions, various variables and depressive symptoms were identified for the first time. Those who had problems in mobility, getting along and were unemployed, the possibility of having depressive symptoms was the highest.Conclusions: Special attention should be paid to unemployed older adults, and those with problems in participation, life activities, getting along, and mobility and no problems in cognition to maintain a good psychological state. Our findings may be greatly significant for developing more targeted and effective mental health prevention and intervention measures for older adults in rural areas.

scholarly journals Change in Anti-COVID-19 Behavior and Prejudice against Minorities during the COVID-19 Pandemic: Longitudinal Evidence from Five European Countries

2021 ◽  
Author(s):  
Tibor Zingora ◽  
Sylvie Graf ◽  
Martina Hrebickova ◽  
Jaroslav Tocik ◽  
David Lacko ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Mass Media ◽  
Intergroup Contact ◽  
Change Score ◽  
The Other ◽  
European Countries ◽  
Negative Consequences ◽  
Individual Level ◽  
Latent Change Score ◽  
Score Model

In the COVID-19 pandemic, it is vital to identify factors increasing behaviors that limit the transmission of COVID-19 (i.e., anti-COVID-19 behavior) and factors protecting against the negative consequences of the pandemic on societies (i.e., prejudice). A simultaneous investigation of a change in anti-COVID behavior and prejudice during the pandemic is essential because some factors (e.g., fear of COVID-19) could increase both outcomes, whilst other factors (e.g., norms in anti-COVID behavior or intergroup contact in prejudice) could bring desirable changes in one outcome without negatively affecting the other. In a three-wave longitudinal study (NT1 = 4275) in five European countries from April to October 2020, we employed a latent change score model to distinguish between intra- and inter-individual changes in anti-COVID-19 behavior and prejudice. On the intra-individual level, anti-COVID-19 behavior was increased by anti-COVID-19 norms; and prejudice against migrants from the Middle East was influenced by positive and negative direct and mass-media intergroup contact.

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