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11.
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12.
  • Zhou, Bin, et al. (author)
  • Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4.4 million participants
  • 2016
  • In: The Lancet. - : Elsevier B.V.. - 0140-6736 .- 1474-547X. ; 387:10027, s. 1513-1530
  • Journal article (peer-reviewed)abstract
    • Background: One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are aff ecting the number of adults with diabetes.Methods: We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalence-defined as fasting plasma glucose of 7.0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs-in 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue.Findings: We used data from 751 studies including 4372000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4.3% (95% credible interval 2.4-17.0) in 1980 to 9.0% (7.2-11.1) in 2014 in men, and from 5.0% (2.9-7.9) to 7.9% (6.4-9.7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28.5% due to the rise in prevalence, 39.7% due to population growth and ageing, and 31.8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target.Interpretation: Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults aff ected, has increased faster in low-income and middle-income countries than in high-income countries.
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13.
  • Bixby, H., et al. (author)
  • Rising rural body-mass index is the main driver of the global obesity epidemic in adults
  • 2019
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 569:7755, s. 260-4
  • Journal article (peer-reviewed)abstract
    • Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.
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14.
  • Björkelund, Cecilia, 1948, et al. (author)
  • Secular trends in cardiovascular risk factors with a 36-year perspective: observations from 38- and 50-year-olds in the Population Study of women in Gothenburg
  • 2008
  • In: Scandinavian Journal of Primary Health Care. - : Informa UK Limited. - 1502-7724 .- 0281-3432. ; 26:3, s. 140-6
  • Journal article (peer-reviewed)abstract
    • Department of Public Health and Community Medicine/Primary Health Care, The Sahlgrenska Academy, University of Gothenburg, Sweden. cecilia.bjorkelund@allmed.gu.se OBJECTIVES: To study secular trends in cardiovascular risk factors in four different cohorts of women examined in 1968-1969, 1980-1981, 1992-1993 and 2004-2005. DESIGN: Comparison of four representative cohorts of 38- and 50-year-old women over a period of 36 years. SETTING: Gothenburg, Sweden with approximately 450,000 inhabitants. SUBJECTS: Four representative samples of 38- and 50-year-old women were invited to free health examinations (participation rate 59-90%, n =1901). MAIN OUTCOME MEASURES: Body mass index (BMI), systolic and diastolic blood pressure (SBP, DBP), leisure time exercise, use of antihypertensive medication, smoking, levels of haemoglobin, b-glucose, s-cholesterol, s-triglycerides and HDL-cholesterol. RESULTS: There was no significant difference in mean BMI from 1968-1969 versus 2004-2005. Mean leisure time exercise was significantly higher in later born cohorts; in 1968, around 15% were physically active compared with 40% in 2004. SBP and DBP, mean s-cholesterol and s-triglyceride levels were significantly lower in both 38- and 50-year-old cohorts in 2004-2005 versus 1968-1969. HDL-cholesterol (not measured until 1992-1993), showed a significantly higher mean level in 2004-2005. Reduction of risk factors was apparent in women with a high as well as low level of physical activity. Smoking declined most in women with high levels of physical activity. CONCLUSIONS: Several cardiovascular risk factors related to lifestyle have improved in middle-aged women from the 1960s until today. Most of the positive trends are observed in women with both low and high physical activity.
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15.
  • Bramsved, Rebecka, 1982-, et al. (author)
  • Children's BMI is strongly effected by family income at birth – but parental education is of major importance for the growing social gap up to 8 years of age
  • 2015
  • In: Obesity Facts. - Basel : S. Karger. - 1662-4033.
  • Conference paper (peer-reviewed)abstract
    • Background: The development of BMI in early childhood is dependent on socioeconomic factors. Our aim was to explore the impact of parental education level and family income for development of BMI from birth to 8 years age.Methods: 3018 children born in 1998–2006 from the IDEFICS study and register controls were included. Weight and height measurements from birth up to 8 years of age were obtained from the Child Health Services. Parental education and family disposable income, obtained from Statistics Sweden and the Medical Birth Register, were defined as high/low. Obesity was defined by WHO references. Confounders were sex and age of the child, parental origin, maternal smoking and maternal BMI.Results: At birth, the children’s mean BMI (SD) was lower in families of low vs. high income (13,74 (1,35) vs. 13,94 (1,36), p<0.0001). Results remained significant after adjusting for confounders. No differences in birth BMI were detected between children of low and high-educated parents (13,87 (1,37) vs. 13,83 (1,35), p=0.48). From 6 months onwards, children of low-educated parents showed higher mean BMI than children of high-educated. At 8 years, mean BMI in the low/high educated groups were 17.12 (2.44) and 16.38 (1.94), p<0.0001. Results remained significant after adjusting for confounders. Prevalence of obesity in the low and high-educated groups were 11% and 4,1%, p<0,0001. The difference in BMI at 8 years seen in the low/high income group disappeared after adjusting for confounders (17.5 vs. 17.6, p=0,63).Conclusion: Impact of family socioeconomic factors on children’s BMI differs by income and education. The effect of parental education becomes more evident by age up to 8 years of age. Interventions for healthy weight development must start very early in life.
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16.
  • Bramsved, Rebecka, et al. (author)
  • Parental education and family income affect birthweight, early longitudinal growth and body mass index development differently
  • 2018
  • In: Acta Paediatrica. - Chichester : Wiley-Blackwell Publishing Inc.. - 0803-5253 .- 1651-2227. ; 107:11, s. 1946-1952
  • Journal article (peer-reviewed)abstract
    • AIM: This study investigated the effects of two parental socio-economic characteristics, education and income, on growth and risk of obesity in children from birth to 8 years of age.METHODS: Longitudinal growth data and national register-based information on socio-economic characteristics were available for 3,030 Swedish children. The development of body mass index (BMI) and height was compared in groups dichotomised by parental education and income.RESULTS: Low parental education was associated with a higher BMI from 4 years of age, independent of income, immigrant background, maternal BMI and smoking during pregnancy. Low family income was associated with a lower birthweight, but did not independently predict BMI development. At 8 years of age, children from less educated families had a three times higher risk of obesity, independent of parental income. Children whose parents had fewer years of education but high income had significantly higher height than all other children.CONCLUSION: Parental education protected against childhood obesity, even after adjusting for income and other important parental characteristics. Income-related differences in height, despite similar BMIs, raise questions about body composition and metabolic risk profiles. The dominant role of education underscores the value of health literacy initiatives for the parents of young children. ©2018 Foundation Acta Pædiatrica.
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17.
  • Brann, Ebba, et al. (author)
  • Declining Well-Being in Young Swedes Born in 1990 Versus 1974
  • 2017
  • In: The Journal of adolescent health : official publication of the Society for Adolescent Medicine. - : Elsevier BV. - 1879-1972. ; 60:3, s. 306-312
  • Journal article (peer-reviewed)abstract
    • Well-being is affected by the environment, including societal changes. In this study, specific dimensions of well-being were compared in two cohorts of Swedish adolescents born 16years apart.Two groups of 18-year-olds, "Grow up Gothenburg" 1974 and 1990 birth cohorts, completed a self-reported questionnaire including the Gothenburg Well-Being in adolescence scale (GWBa). In addition, height and weight were measured, resulting in 4,362 participants (1974 birth cohort) and 5,151 participants (1990 birth cohort) with age, height, weight, and well-being data. The GWBa consists of a total score and five dimensions: mood, physical condition, energy, self-esteem, and stress balance.Total well-being was significantly lower in the later-born cohort, and the greatest difference was seen for the dimension stress balance (feeling calm, unconcerned, unstressed, and relaxed), although effect sizes were modest. In both boys and girls, well-being was lower for all dimensions in the later-born cohort, with the exception of Self-esteem in girls, which was higher in the later-born cohort. In both cohorts, boys reported higher well-being than girls for all dimensions. The mean body mass index z-score was higher in boys from the later-born cohort, but after adjusting for weight status, the differences in well-being between the cohorts persisted.Well-being was lower in the later-born cohort, particularly for the dimension stress balance. Differences were not explained by the shift in weight status indicating that other societal changes have had an impact on well-being levels. Managing high levels of stress might be an area of intervention in adolescents for improved well-being.
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18.
  • Brann, Ebba, et al. (author)
  • Evaluating the predictive ability of childhood body mass index classification systems for overweight and obesity at 18 years
  • 2015
  • In: Scandinavian Journal of Public Health. - : SAGE Publications. - 1403-4948 .- 1651-1905. ; 43:8, s. 802-9
  • Journal article (peer-reviewed)abstract
    • AIM: To evaluate the performance of three childhood body mass index classification systems defining weight status at age 10, for predicting overweight and obesity at 18 years, according to the World Health Organization adult body mass index classification. METHODS: Weight and height of 4235 Swedish girls and boys were measured both at around ages 10 and 18 years. Predictive ability of the extended International Obesity Task Force body mass index cut-offs (2012), the World Health Organization body mass index-for-age (2007) and a Swedish body mass index reference (2001) were assessed for sensitivity and specificity. RESULTS: For predicting overweight including obesity at 18 years, the World Health Organization 2007 and the Swedish body mass index reference 2001 had similar sensitivity, 68% and 71%. The International Obesity Task Force 2012 had a significantly lower sensitivity, 53%. Specificity was 82-91% and highest for International Obesity Task Force 2012. For predicting obesity, the sensitivity for International Obesity Task Force 2012 was 29%, significantly lower than for the other two, 63% and 70%. Specificity was 94-100%, and highest for International Obesity Task Force 2012. CONCLUSIONS: In situations when optimal screening sensitivity is required for identifying as many high-risk children as possible, the World Health Organization 2007 and the Swedish body mass index reference 2001 performed better than the International Obesity Task Force 2012. However, it is important to keep in mind that the International Obesity Task Force 2012 will identify the fewest false positives.
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19.
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20.
  • Börnhorst, Claudia, et al. (author)
  • Potential selection effects when estimating associations between the infancy peak or adiposity rebound and later body mass index in children
  • 2017
  • In: International Journal of Obesity. - London : Nature Publishing Group. - 0307-0565 .- 1476-5497. ; 41:4, s. 518-526
  • Journal article (peer-reviewed)abstract
    • INTRODUCTION:This study aims to evaluate a potential selection effect caused by exclusion of children with non-identifiable infancy peak (IP) and adiposity rebound (AR) when estimating associations between age and body mass index (BMI) at IP and AR and later weight statusSUBJECTS AND METHODS: In 4744 children with at least 4 repeated measurements of height and weight in the age interval from 0 to 8 years (37 998 measurements) participating in the IDEFICS (Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants)/I.Family cohort study, fractional polynomial multilevel models were used to derive individual BMI trajectories. Based on these trajectories, age and BMI at IP and AR, BMI values and growth velocities at selected ages as well as the area under the BMI curve were estimated. The BMI growth measures were standardized and related to later BMI z-scores (mean age at outcome assessment: 9.2 years).RESULTS: Age and BMI at IP and AR were not identifiable in 5.4% and 7.8% of the children, respectively. These groups of children showed a significantly higher BMI growth during infancy and childhood. In the remaining sample, BMI at IP correlated almost perfectly (r⩾0.99) with BMI at ages 0.5, 1 and 1.5 years, whereas BMI at AR correlated perfectly with BMI at ages 4-6 years (r⩾0.98). In the total study group, BMI values in infancy and childhood were positively associated with later BMI z-scores where associations increased with age. Associations between BMI velocities and later BMI z-scores were largest at ages 5 and 6 years. Results differed for children with non-identifiable IP and AR, demonstrating a selection effect.CONCLUSIONS: IP and AR may not be estimable in children with higher-than-average BMI growth. Excluding these children from analyses may result in a selection bias that distorts effect estimates. BMI values at ages 1 and 5 years might be more appropriate to use as predictors for later weight status instead. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
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