Search results for "growth mixture model"

Early life body mass trajectories and mortality in older age: Findings from the Helsinki Birth Cohort Study

2014

Overweight and obesity in childhood have been linked to an increased risk of adult mortality, but evidence is still scarce.We identified trajectories of body mass index (BMI) development in early life and investigated their mortality risk. Data come from the Helsinki Birth Cohort Study, in which 4943 individuals, born 1934-1944, had serial measures of weight and height from birth to 11 years extracted from health care records, weight and height data in adulthood, and register-based mortality data for 2000-2010.Three early BMI trajectories (increasing, average, and average-to-low for men and increasing, average, and low-to-high BMI for women) were identified. Women with an increasing or low-…

Midlife Cardiovascular Status and Old Age Physical Functioning Trajectories in Older Businessmen

2019

Objectives The associations between cardiovascular disease (CVD) risk and later physical functioning have been observed, but only a few studies with follow-up into old age are available. We investigated the association between cardiovascular status in midlife and physical functioning trajectories in old age. Design Prospective cohort study. Setting Helsinki Businessmen Study. Participants We studied white men born between 1919 and 1934 in the Helsinki Businessmen Study (HBS, initial n = 3490). Measurements Three CVD status groups were formed based on clinical measurements carried out in 1974: signs of CVD (diagnosed clinically or with changes in ECG, chronic disease present or used medicati…

Latent growth mixture modeling : a simulation study

2007

Antecedents and Consequences of Student-Athletes’ Identity Profiles in Upper Secondary School

2020

The present study examined the identity profiles that upper-secondary-school Finnish student-athletes show, and the extent to which these profiles were associated with their athletic and academic achievements and withdrawal from sports and school. A total of 391 adolescent athletes (51% females) completed assessments of student and athletic identity four times during their time in upper secondary school. Using growth mixture modeling, three groups were identified: (a) dual identity (77%), (b) changing identity (5%), and (c) athletic identity (18%). The higher the academic achievement was at Time 1, the more likely the athletes were to show dual identity than athletic identity profile. Simil…