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1.
  • Feldman, Adina L, et al. (author)
  • Change in lifestyle behaviors and diabetes risk : evidence from a population-based cohort study with 10 year follow-up
  • 2017
  • In: International Journal of Behavioral Nutrition and Physical Activity. - : Springer Science and Business Media LLC. - 1479-5868. ; 14
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Promoting positive changes in lifestyle behavior in the whole population may be a feasible and effective approach to reducing type 2 diabetes burden, but the impact of population shifts of modifiable risk factors remains unclear. Currently most of the evidence on modifiable lifestyle behavior and type 2 diabetes risk on a population level comes from studies of between-individual differences. The objective of the study was to investigate the association and potential impact on disease burden for within-individual change in lifestyle behavior and diabetes risk.METHODS: Population-based prospective cohort study of 35,680 participants aged 30-50 at baseline in 1990-2003 in Västerbotten County, Sweden (follow-up until 2013). Five self-reported modifiable lifestyle behaviors (tobacco use, physical activity, alcohol intake, dietary fiber intake and dietary fat intake) were measured at baseline and 10 year follow-up. Lifestyle behaviors were studied separately, and combined in a score. Incident diabetes was detected by oral glucose tolerance tests. Multivariate logistic regression models and population attributable fractions (PAF) were used to analyze the association between change in lifestyle behavior between baseline and 10 year follow-up, and risk of incident diabetes.RESULTS: Incident diabetes was detected in 1,184 (3.3%) participants at 10 year follow-up. There was a reduced diabetes risk associated with increase in dietary fiber intake, odds ratio (OR) 0.79 (95% confidence interval (CI) 0.66, 0.96) for increase of at least one unit standard deviation (3.0 g/1,000 kcal) of the baseline distribution, PAF 16.0% (95% CI 4.2, 26.4%). Increase in the lifestyle behavior score was associated with reduced diabetes risk, OR 0.92 (95% CI 0.85, 0.99) per unit increase of the score.CONCLUSIONS: These results support a causal link between lifestyle behavior and type 2 diabetes incidence. A small shift in lifestyle behaviors, in particular intake of dietary fiber, has the potential to reduce diabetes burden in the population and might be a suitable target for public health intervention.
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2.
  • Feldman, Adina L, et al. (author)
  • Impact of weight maintenance and loss on diabetes risk and burden : a population-based study in 33,184 participants
  • 2017
  • In: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 17
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Weight loss in individuals at high risk of diabetes is an effective prevention method and a major component of the currently prevailing diabetes prevention strategies. The aim of the present study was to investigate the public health potential for diabetes prevention of weight maintenance or moderate weight loss on a population level in an observational cohort with repeated measurements of weight and diabetes status.METHODS: Height, weight and diabetes status were objectively measured at baseline and 10 year follow-up in a population-based cohort of 33,184 participants aged 30-60 years between 1990 and 2013 in Västerbotten County, Sweden. The association between risk of incident diabetes and change in BMI or relative weight was modelled using multivariate logistic regression. Population attributable fractions (PAF) were used to assess population impact of shift in weight.RESULTS: Mean (SD) BMI at baseline was 25.0 (3.6) kg/m(2). Increase in relative weight between baseline and follow-up was linearly associated with incident diabetes risk, odds ratio (OR) 1.05 (95% confidence interval (CI) 1.04-1.06) per 1% change in weight. Compared to weight maintenance (±1.0 kg/m(2)), weight gain of > +1.0 kg/m(2) was associated with an increased risk of incident diabetes, OR 1.52 (95% CI 1.32, 1.74), representing a PAF of 21.9% (95% CI 15.8, 27.6%). For moderate weight loss (-1.0 to -2.0 kg/m(2)) the OR was 0.72 (95% CI 0.52, 0.99).CONCLUSIONS: Weight maintenance in adulthood is strongly associated with reduced incident diabetes risk and there is considerable potential for diabetes prevention in promoting this as a whole population strategy.
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3.
  • Long, Gráinne H., et al. (author)
  • Temporal shifts in cardiovascular risk factor distribution
  • 2014
  • In: American Journal of Preventive Medicine. - : Elsevier. - 0749-3797 .- 1873-2607. ; 46:2, s. 112-121
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Complementary strategies to shift risk factor population distributions and target high-risk individuals are required to reduce the burden of type 2 diabetes and cardiovascular disease (CVD).PURPOSE: To examine secular changes in glucose and CVD risk factors over 20 years during an individual and population-based CVD prevention program in Västerbotten County, Sweden.METHODS: Population-based health promotion intervention was conducted and annual invitation for individuals turning 40, 50, and 60 years to attend a health assessment, including an oral glucose tolerance test, biochemical measures, and a questionnaire. Data were collected between 1991 and 2010, analyzed in 2012 and available for 120,929 individuals. Linear regression modeling examined age-adjusted differences in CVD risk factor means over time. Data were direct-age-standardized to compare disease prevalence.RESULTS: Between 1991-1995 and 2006-2010, mean age-adjusted cholesterol (men=-0.53, 95% CI=-0.55, -0.50 mmol/L; women=-0.48, 95% CI=-0.50, -0.45 mmol/L) and systolic blood pressure declined (men=-3.06, 95% CI=-3.43, -2.70 mm Hg; women=-5.27, 95% CI=-5.64, -4.90 mm Hg), with corresponding decreases in the age-standardized prevalence of hypertension and hyperlipidemia. Mean age-adjusted 2-hour plasma glucose (men=0.19, 95% CI=0.15, 0.23 mmol/L; women=0.08, 95% CI=0.04, 0.11 mmol/L) and BMI increased (men=1.12, 95% CI=1.04, 1.21; women=0.65, 95% CI=0.55, 0.75), with increases in the age-standardized prevalence of diabetes and obesity.CONCLUSIONS: These data demonstrate the potential of combined individual- and population-based approaches to CVD risk factor control and highlight the need for additional strategies addressing hyperglycemia and obesity.
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