Latent profile analysis of physical activity and sedentary behavior with mortality risk: A 15‐year follow‐up

This study used latent profile analysis (LPA) to identify at-risk profiles of college freshman women ( n = 481) using self-reports of alcohol consumption and sociosexuality. Analyses resulted in three profiles labeled low alcohol use–low sociosexuality, high alcohol use–medium sociosexuality, and high alcohol use–high sociosexuality. Baseline victimization predicted latent profile membership. More severely victimized women were more likely to be in the high alcohol–high sociosexuality profile than the high alcohol–medium sociosexuality and low alcohol–low sociosexuality profiles. At follow-up, the high alcohol–high sociosexuality profile had higher mean levels of victimization severity, relative to those in the high alcohol–medium sociosexuality and low alcohol–low sociosexuality profiles.

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Latent profile analysis of accelerometer-measured sleep, physical activity, and sedentary time and differences in health characteristics in adult women

PLoS ONE ◽

10.1371/journal.pone.0218595 ◽

2019 ◽

Vol 14 (6) ◽

pp. e0218595 ◽

Cited By ~ 2

Author(s):

Kelsie M. Full ◽

Kevin Moran ◽

Jordan Carlson ◽

Suneeta Godbole ◽

Loki Natarajan ◽

...

Keyword(s):

Physical Activity ◽

Latent Profile Analysis ◽

Sedentary Time ◽

Profile Analysis ◽

Adult Women ◽

Latent Profile

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Unobserved mental health profiles are associated with weight and physical activity change in female college freshmen: A latent profile analysis

Mental Health and Physical Activity ◽

10.1016/j.mhpa.2012.01.001 ◽

2012 ◽

Vol 5 (1) ◽

pp. 76-84 ◽

Cited By ~ 5

Author(s):

Emily L. Mailey ◽

Sean P. Mullen ◽

Mina C. Mojtahedi ◽

Dolores D. Guest ◽

Ellen M. Evans ◽

...

Keyword(s):

Mental Health ◽

Physical Activity ◽

Latent Profile Analysis ◽

College Freshmen ◽

Profile Analysis ◽

Activity Change ◽

Female College ◽

Physical Activity Change ◽

Health Profiles ◽

Latent Profile

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Smoking and Physical Activity Trajectories from Childhood to Midlife

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16060974 ◽

2019 ◽

Vol 16 (6) ◽

pp. 974 ◽

Cited By ~ 6

Author(s):

Kasper Salin ◽

Anna Kankaanpää ◽

Mirja Hirvensalo ◽

Irinja Lounassalo ◽

Xiaolin Yang ◽

...

Keyword(s):

Physical Activity ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Multinomial Logistic Regression ◽

Finnish Population ◽

Multinomial Logistic Regression Analysis ◽

Males And Females ◽

The Relationship ◽

Substantial Interest

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants’ smoking and PA were assessed five to eight times over a 31-year period (3–18 years old at the baseline, 34–49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.

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