Trajectories of Depressive Symptoms in Community-Dwelling Korean Older Adults

Abstract Objectives This study aimed to identify trajectories of depressive symptoms and investigate predictive variables of latent class in Korean community-dwelling older adults. Methods Study participants comprised 2,016 community-dwelling Korean adults aged over 65 years, using data from the Korean Longitudinal Study of Aging (KLoSA) from 2006–2016. The KLoSA, a nationally representative panel survey, has been conducted biannually since 2006. We used latent class growth analysis to identify depressive symptom trajectories. Multinomial logistic regression analysis was conducted to identify predictors of each class of depressive symptoms. Results Five depressive symptom trajectory groups were identified: Class 1, no depressive symptom (13.8%); Class 2, low depressive symptom (32.8%); Class 3, decreasing depressive symptom (10.6%); Class 4, increasing depressive symptoms (24.0%); and Class 5, persistent depressive symptoms (18.8%). We found that older adults followed five distinct depressive symptom trajectories over 10 years. Mini-Mental State Examination scores, number of chronic diseases, educational level, gender, current employment, contact with children, and social activity were associated with a higher risk of these trajectories. Conclusions Depressive symptoms are associated with social networks as cognitive function scores increase and number of chronic diseases decrease. Interventions to strengthening existing social networks and developing relationships should be tailored to target specific needs for each trajectory, and chronic disease management, including cognitive function, may be beneficial in preventing depressive symptoms among older adults. KEYWORDS Older adults, Depressive symptom, Trajectory, Latent class growth analysis, Korean

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Symptom Trajectories in Children Receiving Treatment for Leukemia: A Latent Class Growth Analysis With Multitrajectory Modeling

Journal of Pain and Symptom Management ◽

10.1016/j.jpainsymman.2017.03.002 ◽

2017 ◽

Vol 54 (1) ◽

pp. 1-8 ◽

Cited By ~ 19

Author(s):

Marilyn J. Hockenberry ◽

Mary C. Hooke ◽

Cheryl Rodgers ◽

Olga Taylor ◽

Kari M. Koerner ◽

...

Keyword(s):

Growth Analysis ◽

Latent Class ◽

Latent Class Growth Analysis ◽

Symptom Trajectories ◽

Latent Class Growth

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Distinct physical activity and sedentary behavior trajectories in older adults during participation in a physical activity intervention: a latent class growth analysis

European Review of Aging and Physical Activity ◽

10.1186/s11556-021-00281-x ◽

2022 ◽

Vol 19 (1) ◽

Author(s):

Tiara Ratz ◽

Claudia R. Pischke ◽

Claudia Voelcker-Rehage ◽

Sonia Lippke

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Growth Analysis ◽

Social Cognitive ◽

Latent Class ◽

Physical Activity Intervention ◽

Action Planning ◽

Latent Class Growth Analysis ◽

Latent Class Growth

Abstract Background This study aimed to identify latent moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior (SB) trajectories in older adults participating in a randomized intervention trial and to explore associations with baseline social-cognitive predictors. Methods Data were assessed at baseline (T0, participants were inactive or had recently become active), after a ten-week physical activity intervention (T1), and a second 24-week intervention phase (T2). Latent class growth analysis was used on accelerometer-assessed weekly MVPA and daily SB, respectively (n = 215 eligible participants). Activity changes within trajectory classes and baseline social-cognitive predictor differences between trajectory classes were analyzed. Results A “stable insufficient MVPA” (n = 197, p for difference in MVPA level at T0 and T2 (pT0-T2) = .789, effect size (Cohen’s d) = .03) and a “stable high MVPA” trajectory (n = 18, pT0-T2 = .137, d = .39), as well as a “slightly decreasing high SB” (n = 63, p for difference in SB (pT0-T2) = .022, d = .36) and a “slightly increasing moderate SB” trajectory (n = 152, pT0-T2 = .019, d = .27) emerged. Belonging to the “stable high MVPA” trajectory was associated with higher action planning levels compared to the “stable insufficient MVPA” trajectory (M = 5.46 versus 4.40, d = .50). Belonging to the “decreasing high SB” trajectory was associated with higher action self-efficacy levels compared to the “increasing moderate SB” trajectory (M = 5.27 versus 4.72, d = .33). Conclusions Change occurred heterogeneously in latent (not directly observed) subgroups, with significant positive trajectories only observed in the highly sedentary. Trial registration German Registry of Clinical Trials, DRKS00016073, Registered 10 January 2019.

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Trajectories of Depressive Symptoms and Neighborhood Changes from Adolescence to Adulthood: Latent Class Growth Analysis and Multilevel Growth Curve Models

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17061829 ◽

2020 ◽

Vol 17 (6) ◽

pp. 1829

Author(s):

Hyunjung Lee ◽

Lorena M. Estrada-Martínez

Keyword(s):

Depressive Symptoms ◽

Growth Curve ◽

Growth Analysis ◽

Latent Class ◽

Ethnic Composition ◽

Latent Class Growth Analysis ◽

Growth Curve Models ◽

Latent Class Growth ◽

Racial Ethnic ◽

Multilevel Growth Curve Models

The role of neighborhood socioeconomic status (SES) and racial/ethnic composition on depression has received considerable attention in the United States. This study examines associations between trajectory patterns of neighborhood changes and depressive symptoms using data from Waves I-IV of the National Longitudinal Study of Adolescent to Adult Health. We used latent class growth analysis to determine the number and distribution of person-centered trajectories for neighborhood characteristics, and multilevel growth curve models to examine how belonging to each class impacted depression trajectories from ages 13 to 32 among non-Hispanic Whites (NHW), non-Hispanic Blacks (NHB), Hispanics, and non-Hispanic Others (NHO). The distribution of neighborhood SES classes across racial/ethnic groups suggests significant levels of economic inequality, but had no effect on depressive symptoms. A more complex picture emerged on the number and distribution of racial/ethnic composition latent class trajectories. Compared to NHB peers who lived in predominantly NHW neighborhoods from adolescence to adulthood, NHBs in more diverse neighborhoods had lower risk for depressive symptoms. Conversely, Hispanics living in neighborhoods with fewer NHWs had higher risk for depressive symptoms. Among NHOs, living in neighborhoods with a critical mass of other NHOs had a protective effect against depressive symptoms.

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Psychosocial and health-related risk factors for depressive symptom trajectories among midlife women over 15 years: Study of Women's Health Across the Nation (SWAN)

Psychological Medicine ◽

10.1017/s0033291718000703 ◽

2018 ◽

Vol 49 (2) ◽

pp. 250-259 ◽

Cited By ~ 4

Author(s):

Joyce T. Bromberger ◽

Laura L. Schott ◽

Nancy E. Avis ◽

Sybil L. Crawford ◽

Sioban D. Harlow ◽

...

Keyword(s):

Risk Factors ◽

Social Support ◽

Depressive Symptoms ◽

Depressive Symptom ◽

Midlife Women ◽

Role Functioning ◽

Symptom Trajectories ◽

Related Risk ◽

Health Related ◽

Symptom Trajectory

AbstractBackgroundPsychosocial and health-related risk factors for depressive symptoms are known. It is unclear if these are associated with depressive symptom patterns over time. We identified trajectories of depressive symptoms and their risk factors among midlife women followed over 15 years.MethodsParticipants were 3300 multiracial/ethnic women enrolled in a multisite longitudinal menopause and aging study, Study of Women's Health Across the Nation. Biological, psychosocial, and depressive symptom data were collected approximately annually. Group-based trajectory modeling identified women with similar longitudinal patterns of depressive symptoms. Trajectory groups were compared on time-invariant and varying characteristics using multivariable multinomial analyses and pairwise comparisons.ResultsFive symptom trajectories were compared (50% very low; 29% low; 5% increasing; 11% decreasing; 5% high). Relative to whites, blacks were less likely to be in the increasing trajectory and more likely to be in the decreasing symptom trajectory and Hispanics were more likely to have a high symptom trajectory than an increasing trajectory. Psychosocial/health factors varied between groups. A rise in sleep problems was associated with higher odds of having an increasing trajectory and a rise in social support was associated with lower odds. Women with low role functioning for 50% or more visits had three times the odds of being in the increasing symptom group.ConclusionsChanges in psychosocial and health characteristics were related to changing depressive symptom trajectories. Health care providers need to evaluate women's sleep quality, social support, life events, and role functioning repeatedly during midlife to monitor changes in these and depressive symptoms.

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Longitudinal burnout-collaboration patterns in Japanese medical care workers at special needs schools: a latent class growth analysis

Psychology Research and Behavior Management ◽

10.2147/prbm.s93846 ◽

2016 ◽

pp. 139 ◽

Cited By ~ 1

Author(s):

Mieko Kanayama ◽

Machiko Suzuki ◽

Yoshikazu Yuma

Keyword(s):

Medical Care ◽

Special Needs ◽

Growth Analysis ◽

Latent Class ◽

Latent Class Growth Analysis ◽

Care Workers ◽

Collaboration Patterns ◽

Latent Class Growth

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The course of social media use problems in secondary school adolescents: A latent class growth analysis

10.31219/osf.io/4dzns ◽

2021 ◽

Author(s):

Maartje Boer ◽

gonneke stevens ◽

Catrin Finkenauer ◽

Regina van den Eijnden

Keyword(s):

Social Media ◽

Secondary School ◽

Growth Analysis ◽

Latent Class ◽

Media Use ◽

Latent Class Growth Analysis ◽

Social Media Use ◽

Immigrant Background ◽

Low Levels ◽

Latent Class Growth

Little is known about how addiction-like social media use (SMU) problems evolve over time. Using four waves of longitudinal data collected in 2015-2019 from 1,414 adolescents (Mage = 12.5, 46.0% girl, 21.9% immigrant background), this study aimed to identify adolescents’ trajectories of SMU problems in parallel with their trajectories of SMU intensity. Latent class growth analysis identified two subgroups with persistently high levels of SMU problems, of which one with high (24.7%) and one with average SMU intensity (14.8%), and two subgroups with persistently low levels of SMU problems, of which one with low (22.3%) and one with high SMU intensity (38.2%). Compared to the largest subgroup, the two subgroups with high levels of SMU problems showed more problematic profiles.

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