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. 2022 Aug 4;10(1):713-730.
doi: 10.1080/21642850.2022.2104724. eCollection 2022.

Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes

Rachel A Millstein  1   2 , Julia Golden  3 , Brian C Healy  2   4 , Hermioni L Amonoo  2   5   6 , Lauren E Harnedy  1 , Alba Carrillo  1   2 , Christopher M Celano  1   2 , Jeff C Huffman  1   2
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Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes

Rachel A Millstein et al. Health Psychol Behav Med. .

Abstract

Background: Physical activity is critical for preventing and treating Type 2 diabetes (T2D). It is important to identify different profiles of physical activity change among those participating in behavioral interventions to optimize intervention-person fit.

Methods: This study analyzes longitudinal trajectories of change in moderate-to-vigorous physical activity (MVPA) in a positive psychology (PP) and motivational interviewing (MI) intervention for T2D, using latent growth curve modeling (LGCM). Objective measures of MVPA were collected using accelerometers at three time points: pre-intervention, immediately post-intervention, and eight weeks post-intervention. LGCM analyses identified subpopulations of participants who responded similarly to the intervention and examined if sociodemographic, medical and psychosocial characteristics were associated with MVPA trajectories.

Results: Analyses included 47 participants with complete follow-ups: 49% male, 81% non-Hispanic white, average age 66.1 (SD = 10.1). Overall, 36% of the participants increased MVPA while 57% did not. LGCM identified three profiles with distinct MVPA trajectories. Profile 1 ('Started Low, No Change'; 65.8% of participants) with a starting mean of 4.54 min of MVPA/day and decreased by -3.36 min. Profile 2 ('Moderate-High Start, Minimal Change,' 27.4% of participants) and had a starting mean of 22.86 min/day of MVPA with an average increase of 1.03 min. Profile 3 ('Moderate Start, Ended High'; 6.8% of participants), had a starting mean of 7.33 min MVPA/day, and increased by 28.4 min. Being male, younger, having fewer medical and psychiatric comorbidities were associated with increases in MVPA.

Conclusions: This secondary analysis detected three distinct physical activity profiles during and after a PP-MI intervention. Future interventions can target individuals with characteristics that showed the greatest benefit and add additional supports to people in groups that did not increase physical activity as much. These findings show a need for targeted and sustained behavior change strategies during and after physical activity interventions. Trial registration: ClinicalTrials.gov; identifier: NCT03001999.

Keywords: Type 2 diabetes; latent growth model; longitudinal model; physical activity; positive psychology.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
Study intervention and assessment timelines (BEHOLD-8 and 16).
Figure 2.
Figure 2.
Latent profiles of MVPA: Individual growth curves grouped by profile.
See this image and copyright information in PMC

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References

    1. American Diabetes Association . (2013). Standards of medical care in diabetes – 2013. Diabetes Care, 36(Suppl 1), S11–S66. - PMC - PubMed
    1. Avery, L., Flynn, D., van Wersch, A., Sniehotta, F. F., & Trenell, M. I. (2012). Changing physical activity behavior in type 2 diabetes: A systematic review and meta-analysis of behavioral interventions. Diabetes Care, 35(12), 2681–2689. - PMC - PubMed
    1. Balducci, S., D'Errico, V., Haxhi, J., Sacchetti, M., Orlando, G., Cardelli, P., … Lucisano, G. (2019). Effect of a behavioral intervention strategy on sustained change in physical activity and sedentary behavior in patients With type 2 diabetes: The IDES_2 randomized clinical trial. Jama, 321(9), 880–890. - PubMed
    1. Bartlett, S. J., Orbai, A. M., Duncan, T., DeLeon, E., Ruffing, V., Clegg-Smith, K. & Bingham III, C. O. (2015). Reliability and validity of selected PROMIS measures in people with rheumatoid arthritis. PLoS One, 10(9), e0138543. - PMC - PubMed
    1. Bartley, E. J., Palit, S., Fillingim, R. B., & Robinson, M. E. (2019). Multisystem resiliency as a predictor of physical and psychological functioning in older adults with chronic low back pain. Frontiers in Psychology, 10, 1932. - PMC - PubMed

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