Socio-economic factors, mood, primary care utilization, and quality of life as predictors of intervention cessation and chronic stress in a type 2 diabetes prevention intervention (PREVIEW Study)

• Autor(a) principal: Huttunen-Lenz, Maija
• Data de Publicação: 2023
• Outros Autores: Raben, Anne, Adam, Tanja, Macdonald, Ian, Taylor, Moira A., Stratton, Gareth, Mackintosh, Kelly, Martinez, J. Alfredo, Handjieva-Darlenska, Teodora, Bogdanov, Georgi Assenov, Poppitt, Sally D., Silvestre, Marta P., Fogelholm, Mikael, Jalo, Elli, Brand-Miller, Jennie, Muirhead, Roslyn, Schlicht, Wolfgang
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/157774
• topic: Adherence; Diabetes Mellitus; Drop out; Health Behaviors; Lifestyle; Overweight; Prevention; Quality of Life; Stress; Public Health, Environmental and Occupational Health; SDG 3 - Good Health and Well-being

BACKGROUND: Sedentary lifestyle and unhealthy diet combined with overweight are risk factors for type 2 diabetes (T2D). Lifestyle interventions with weight-loss are effective in T2D-prevention, but unsuccessful completion and chronic stress may hinder efficacy. Determinants of chronic stress and premature cessation at the start of the 3-year PREVIEW study were examined. METHODS: Baseline Quality of Life (QoL), social support, primary care utilization, and mood were examined as predictors of intervention cessation and chronic stress for participants aged 25 to 70 with prediabetes (n = 2,220). Moderating effects of sex and socio-economic status (SES) and independence of predictor variables of BMI were tested. RESULTS: Participants with children, women, and higher SES quitted intervention earlier than those without children, lower SES, and men. Lower QoL, lack of family support, and primary care utilization were associated with cessation. Lower QoL and higher mood disturbances were associated with chronic stress. Predictor variables were independent (p ≤ .001) from BMI, but moderated by sex and SES. CONCLUSIONS: Policy-based strategy in public health should consider how preventive interventions may better accommodate different individual states and life situations, which could influence intervention completion. Intervention designs should enable in-built flexibility in delivery enabling response to individual needs. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01777893.