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)

BMC Public Health

Research

Kelly Mackintosh¹  Wolfgang Schlicht²  Elli Jalo³  Mikael Fogelholm³  J. Alfredo Martinez⁴  Sally D. Poppitt⁵  Tanja Adam⁶  Anne Raben⁷  Teodora Handjieva-Darlenska⁸  Georgi Assenov Bogdanov⁸  Marta P. Silvestre⁹  Maija Huttunen-Lenz^1,10  Ian Macdonald^1,11  Jennie Brand-Miller^1,12  Roslyn Muirhead^1,12  Gareth Stratton^1,13  Moira A. Taylor^1,14 

[1] Applied Sports, Technology, Exercise and Medicine Research Centre, Swansea University, Swansea, West Glamorgan, UK;Department of Exercise and Health Sciences, University of Stuttgart, 70569, Stuttgart, Germany;Department of Food and Nutrition, University of Helsinki, 00014, Helsinki, Finland;Department of Medicine and Endocrinology, University of Valladolid, Valladolid, Spain;CIBER Fisiopatología Obesidad Y Nutrición (CIBERobn), Instituto de Salud Carlos III, IMDEAfood Madrid, 28029, Madrid, Spain;Department of Medicine, University of Auckland, Human Nutrition Unit, School of Biological Sciences, 1024, Auckland, New Zealand;Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands;Department of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg, Denmark;Clinical Research, Copenhagen University Hospital – Steno Diabetes Center Copenhagen, Herlev, Denmark;Department of Pharmacology and Toxicology, Medical University of Sofia, 1000, Sofia, Bulgaria;Human Nutrition Unit, School of Biological Sciences, University of Auckland, 1024, Auckland, New Zealand;Nutrition & Metabolism, CINTESIS, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal;Institute of Nursing Science, University of Education Schwäbisch Gmünd, Oberbettringerstraße 200, 73525, Schwäbisch Gmünd, Germany;MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, University of Nottingham, School of Life Sciences, NG7 2UH, Nottingham, UK;Nestle Institute of Health Sciences, Nestle Research, Route du Jorat 57, 1000, Lausanne 26, CH, Switzerland;School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, 2006, Camperdown, NSW, Australia;Sport and Exercise Sciences, Swansea University, Swansea, West Glamorgan, UK;University of Nottingham, School of Life Sciences, NG7 2UH, Nottingham, UK;

关键词: Diabetes Mellitus;    Overweight;    Quality of Life;    Lifestyle;    Adherence;    Prevention;    Drop out;    Stress;    Health Behaviors;   

DOI  :  10.1186/s12889-023-16569-9

 received in 2023-04-24, accepted in 2023-08-20,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundSedentary 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.MethodsBaseline 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.ResultsParticipants 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.ConclusionsPolicy-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 registrationClinicalTrials.gov Identifier: NCT01777893.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

【 图 表 】

Fig. 2