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Vornanen M, Aktan-Collan K, Hallowell N, Konttinen H, Haukkala A. Lay Perspectives on Receiving Different Types of Genomic Secondary Findings: a Qualitative Vignette Study. J Genet Couns 2018; 28:343-354. [DOI: 10.1007/s10897-018-0288-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 08/02/2018] [Indexed: 10/28/2022]
Affiliation(s)
- M. Vornanen
- Department of Social Research; University of Helsinki; Unioninkatu 37 P.O. Box 54 00014 Helsinki Finland
| | - K. Aktan-Collan
- Department of Social Research; University of Helsinki; Unioninkatu 37 P.O. Box 54 00014 Helsinki Finland
| | - N. Hallowell
- Big Data Institute and the Ethox Centre; Nuffield Department of Population Health; University of Oxford; Oxford UK
| | - H. Konttinen
- Department of Food and Nutrition; University of Helsinki; Helsinki Finland
| | - A. Haukkala
- Department of Social Research; University of Helsinki; Unioninkatu 37 P.O. Box 54 00014 Helsinki Finland
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Konttinen H, Llewellyn C, Silventoinen K, Joensuu A, Männistö S, Salomaa V, Jousilahti P, Kaprio J, Perola M, Haukkala A. Genetic predisposition to obesity, restrained eating and changes in body weight: a population-based prospective study. Int J Obes (Lond) 2017; 42:858-865. [PMID: 29158543 DOI: 10.1038/ijo.2017.278] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/09/2017] [Accepted: 10/30/2017] [Indexed: 01/06/2023]
Abstract
OBJECTIVES There is no consensus on whether cognitive control over food intake (that is, restrained eating) is helpful, merely ineffective or actually harmful in weight management. We examined the interplay between genetic risk of obesity, restrained eating and changes in body weight and size. METHODS Participants were Finnish aged 25-74 years who attended the DIetary, Lifestyle and Genetic determinants of Obesity and Metabolic syndrome study at baseline in 2007 and follow-up in 2014. At baseline (n=5024), height, weight and waist circumference (WC) were measured in a health examination and participants self-reported their weight at age 20 years. At follow-up (n=3735), height, weight and WC were based on measured or self-reported information. We calculated 7-year change in body mass index (BMI) and WC and annual weight change from age 20 years to baseline. Three-Factor Eating Questionnaire-R18 was used to assess restrained eating. Genetic risk of obesity was assessed by calculating a polygenic risk score of 97 known BMI-related loci. RESULTS Cross-lagged autoregressive models indicated that baseline restrained eating was unrelated to 7-year change in BMI (β=0.00; 95% confidence interval (CI)=-0.01, 0.02). Instead, higher baseline BMI predicted greater 7-year increases in restrained eating (β=0.08; 95% CI=0.05, 0.11). Similar results were obtained with WC. Polygenic risk score correlated positively with restrained eating and obesity indicators in both study phases, but it did not predict 7-year change in BMI or WC. However, individuals with higher genetic risk of obesity tended to gain more weight from age 20 years to baseline, and this association was more pronounced in unrestrained eaters than in restrained eaters (P=0.038 for interaction). CONCLUSIONS Our results suggest that restrained eating is a marker for previous weight gain rather than a factor that leads to future weight gain in middle-aged adults. Genetic influences on weight gain from early to middle adulthood may vary according to restrained eating, but this finding needs to be replicated in future studies.
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Affiliation(s)
- H Konttinen
- Department of Social Research, University of Helsinki, Helsinki, Finland.,Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - C Llewellyn
- Department of Behavioural Science and Health, University College London, London, UK
| | - K Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
| | - A Joensuu
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - S Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - V Salomaa
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - P Jousilahti
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - J Kaprio
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - M Perola
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.,Diabetes and Obesity Research Program, University of Helsinki, Helsinki, Finland.,Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - A Haukkala
- Department of Social Research, University of Helsinki, Helsinki, Finland
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Kilpi F, Konttinen H, Silventoinen K, Martikainen P. The socioeconomic determinants of myocardial infarction incidence, pre-hospital mortality and fatality. Eur J Public Health 2013. [DOI: 10.1093/eurpub/ckt126.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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