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

Author(s):  
Tiara Ratz ◽  
Claudia R. Pischke ◽  
Claudia Voelcker-Rehage ◽  
Sonia Lippke

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.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 171-171
Author(s):  
Jinhee Shin ◽  
Eunhee Cho

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


2021 ◽  
Author(s):  
Maartje Boer ◽  
gonneke stevens ◽  
Catrin Finkenauer ◽  
Regina van den Eijnden

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.


2017 ◽  
Vol 54 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Marilyn J. Hockenberry ◽  
Mary C. Hooke ◽  
Cheryl Rodgers ◽  
Olga Taylor ◽  
Kari M. Koerner ◽  
...  

2017 ◽  
Vol 22 (2) ◽  
pp. 135-147
Author(s):  
Shelley R. Hart ◽  
Rashelle J. Musci ◽  
Tal Slemrod ◽  
Emily Flitsch ◽  
Nicholas Ialongo

2018 ◽  
Vol 25 (13-14) ◽  
pp. 2233-2243 ◽  
Author(s):  
Chih-Tao Cheng ◽  
Samuel MY Ho ◽  
Yi-Chen Hou ◽  
Yihuan Lai ◽  
Ging-Long Wang

A total of 84 breast cancer survivors completed a package of psychological inventories in 2009 (Time 1), 2012 (Time 2), and 2016 (Time 3). Latent class growth analysis revealed three posttraumatic growth trajectory patterns: distressed posttraumatic growth ( n = 5, 6.7%), illusory posttraumatic growth ( n = 42, 56.0%), and constructive posttraumatic growth ( n = 28, 37.3%). Women with more frequent use of helplessness–hopelessness coping and lower depression levels at Time 1 were more likely to display an illusory than a constructive posttraumatic growth trajectory pattern. Illusory posttraumatic growth might represent a form of coping rather than authentic positive changes. Researchers and clinicians should understand different patterns of posttraumatic growth.


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