Physical Activity Patterns among Individuals with Prediabetes or Type 2 Diabetes across Two Years—A Longitudinal Latent Class Analysis

Jenny Rossen, Maria Hagströmer, Kristina Larsson, Unn-Britt Johansson and Philip von Rosen
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Jenny Rossen: Department of Health Promoting Science, Sophiahemmet University, Lindstedtsvägen 8, 114 86 Stockholm, Sweden
Maria Hagströmer: Department of Health Promoting Science, Sophiahemmet University, Lindstedtsvägen 8, 114 86 Stockholm, Sweden
Kristina Larsson: Department of Health Promoting Science, Sophiahemmet University, Lindstedtsvägen 8, 114 86 Stockholm, Sweden
Unn-Britt Johansson: Department of Health Promoting Science, Sophiahemmet University, Lindstedtsvägen 8, 114 86 Stockholm, Sweden
Philip von Rosen: Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 52 Huddinge, Sweden

IJERPH, 2022, vol. 19, issue 6, 1-10

Abstract: Background: This study aimed to identify distinct profiles of physical activity (PA) patterns among individuals with prediabetes or type 2 diabetes participating in a two-year PA trial and to investigate predictors of the profiles. Methods: Data ( n = 168, collected 2013–2020) from the cohort of a randomized trial aimed at increasing PA in individuals with prediabetes and type 2 diabetes were used. PA and sedentary behaviours were assessed by waist-worn ActiGraph GT1M accelerometers at baseline and at 6, 12, 18 and 24 months. Fifteen PA and sedentary variables were entered into a latent class mixed model for multivariate longitudinal outcomes. Multinominal regression analysis modelled profile membership based on baseline activity level, age, gender, BMI, disease status and group randomisation. Results: Two profiles of PA patterns were identified: “Increased activity” ( n = 37, 22%) included participants increasing time in PA and decreasing sedentary time. “No change in activity” ( n = 131, 78%) included participants with no or minor changes. “Increased activity” were younger ( p = 0.003) and more active at baseline ( p = 0.011), compared to “No change in activity”. No other predictor was associated with profile membership. Conclusions: A majority of participants maintained PA and sedentary patterns over two years despite being part of a PA intervention. Individuals improving PA patterns were younger and more active at baseline.

Keywords: accelerometery; latent class; physical activity pattern; sedentary behaviour; time-use; trajectories (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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