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Diabetes and Cardiovascular Disease Risk Perception and Risk Indicators: a 5-Year Follow-up

BACKGROUND: Perceived disease risk may reflect actual risk indicators and/or motivation to change lifestyle. Yet, few longitudinal studies have assessed how perceived risk relates to risk indicators among different disease risk groups. We examined in a 5-year follow-up, whether perceived risks of di...

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Detalles Bibliográficos
Autores principales: Vornanen, Marleena, Konttinen, Hanna, Peltonen, Markku, Haukkala, Ari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121732/
https://www.ncbi.nlm.nih.gov/pubmed/32808182
http://dx.doi.org/10.1007/s12529-020-09924-2
Descripción
Sumario:BACKGROUND: Perceived disease risk may reflect actual risk indicators and/or motivation to change lifestyle. Yet, few longitudinal studies have assessed how perceived risk relates to risk indicators among different disease risk groups. We examined in a 5-year follow-up, whether perceived risks of diabetes and cardiovascular disease predicted physical activity, body mass index (BMI kg/m(2)), and blood glucose level, or the reverse. We examined further whether perceived risk, self-efficacy, and outcome beliefs together predicted changes in these risk indicators. METHOD: Participants were high diabetes risk participants (N = 432) and low/moderate-risk participants (N = 477) from the national FINRISK 2002 study who were followed up in 2007. Both study phases included questionnaires and health examinations with individual feedback letters. Data were analyzed using gender- and age-adjusted structural equation models. RESULTS: In cross-lagged autoregressive models, perceived risks were not found to predict 5-year changes in physical activity, BMI, or 2-h glucose. In contrast, higher BMI and 2-h glucose predicted 5-year increases in perceived risks (β-values 0.07–0.15, P-values < 0.001–0.138). These associations were similar among high- and low/moderate-risk samples. In further structural equation models, higher self-efficacy predicted increased physical activity among both samples (β-values 0.10–0.16, P-values 0.005–0.034). Higher outcome beliefs predicted lower BMI among the low/moderate-risk sample (β-values − 0.04 to − 0.05, P-values 0.008–0.011). CONCLUSION: Perceived risk of chronic disease rather follows risk indicators than predicts long-term lifestyle changes. To promote sustained lifestyle changes, future intervention studies need to examine the best ways to combine risk feedback with efficient behavior change techniques.