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Viitasalo A, Pahkala K, Lehtimäki T, Viikari JSA, Tammelin TH, Raitakari O, Kilpeläinen TO. Changes in BMI and physical activity from youth to adulthood distinguish normal-weight, metabolically obese adults from those who remain healthy. Front Endocrinol (Lausanne) 2022; 13:923327. [PMID: 36034437 PMCID: PMC9399835 DOI: 10.3389/fendo.2022.923327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 07/13/2022] [Indexed: 11/14/2022] Open
Abstract
HIGHLIGHTS Adults with MONW have a lower BMI during youth until young adulthood, but higher BMI after this than adults with metabolically healthy normal weight. Adults with MONW have a greater decrease in physical activity from youth to adulthood than other adults. Healthy lifestyle is important in the prevention of metabolic disorders, particularly in individuals who are slim in childhood. BACKGROUND Individuals with metabolically obese normal-weight (MONW) have higher risk of cardiovascular events than those with obesity but a metabolically healthy status. Etiological factors leading to MONW are not well known. We hypothesized distinct trajectories of changes in BMI and physical activity may modify metabolic risk and distinguish individuals with MONW from those who remain healthy. METHODS We compared the mean levels of BMI and physical activity at eight time points (1980, 1983, 1986, 1989, 1992, 2001, 2007, 2011) between MONW and healthy normal-weight adults using linear mixed-model analysis. The analyses included 1180 participants of the Cardiovascular Risk in Young Finns study, a population-based study that represents six different age cohorts 3, 6, 9, 12, 15 and 18 years of age at baseline. RESULTS Individuals with adult MONW had significantly lower BMI in childhood and young adulthood, but their BMI increased more than in other adults after this age (p<0.001for interaction between time and MONW status). Physical activity decreased relatively more since youth in individuals with adult MONW (p<0.001). CONCLUSIONS Relative leanness in youth and subsequent weight gain in young adulthood, and a gradual decrease in physical activity levels from youth to adulthood, predispose normal-weight individuals to metabolic impairments. The results highlight the importance of a healthy lifestyle in the prevention of metabolic disorders, particularly in individuals who are slim in childhood.
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Affiliation(s)
- A. Viitasalo
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- *Correspondence: A. Viitasalo,
| | - K. Pahkala
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre & Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - T. Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center, Tampere University, Tampere, Finland
| | - JSA. Viikari
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, Turku, Finland
| | - TH. Tammelin
- JAMK University of Applied Sciences, LIKES, Jyväskylä, Finland
| | - O. Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - TO. Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Robson E, Norris T, Costa S, Kivimäki M, Hamer M, Johnson W. Contribution of 20-year body mass index and waist circumference history to poor cardiometabolic health in overweight/obese and normal weight adults: A cohort study. Nutr Metab Cardiovasc Dis 2021; 31:2851-2859. [PMID: 34340899 DOI: 10.1016/j.numecd.2021.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND AIMS We investigated the associations of 20-year body mass index (BMI) and waist circumference (WC) histories with risk of being 1) metabolically unhealthy overweight/obese (MUOO) vs metabolically healthy overweight/obese (MHOO) and 2) metabolically unhealthy normal weight (MUNW) vs metabolically healthy normal weight (MHNW). METHODS AND RESULTS Participants comprised 3018 adults (2280 males; 738 females) with BMI and WC measured, every ~5 years, in 1991-1994, 1997-1999, 2002-2004, 2007-2009, and 2012-2013. Mean age in 2012-2013 was 69.3 years, with a range of 59.7-82.2 years. Duration was defined as the number of times a person was overweight/obese (or centrally obese) across the 5 visits, severity as each person's mean BMI (or WC), and variability as the within-person standard deviation of BMI (or WC). At the 2013-2013 visit, participants were categorised based on their weight (overweight/obese or normal weight; body mass index (BMI) ≥25 kg/m2) and health status (healthy or unhealthy; two or more of hypertension, low high-density lipoprotein cholesterol, high triglycerides, high glucose, and high homeostatic model assessment of insulin resistance). Logistic regression was used to estimate associations with the risk of being MUNW (reference MHNW) and MUOO (reference MHOO) at the last visit. BMI and WC severity were each related to increased risk of being unhealthy, with estimates being stronger among normal weight than overweight/obese adults. The estimates for variability exposures became null upon adjustment for severity. Individuals who were overweight/obese at all 5 time points had a 1.60 (0.96-2.67) times higher risk of being MUOO than MHOO compared to those who were only overweight/obese at one (i.e., the last) time point. The corresponding estimate for central obesity was 4.20 (2.88-6.12). Greater duration was also related to higher risk of MUNW than MHNW. CONCLUSION Being overweight/obese yet healthy seems to be partially attributable to lower exposure to adiposity across 20 years of adulthood. The results highlight the importance of maintaining optimum and stable BMI and WC, both in adults who become and do not become overweight/obese.
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Affiliation(s)
- Ellie Robson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Tom Norris
- Leicester Real World Evidence Unit, University of Leicester, Leicester, UK
| | - Silvia Costa
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Mark Hamer
- Division of Surgery and Interventional Sciences, Faculty Medical Sciences, University College London, London, UK
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
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Norris T, Mansukoski L, Gilthorpe MS, Hamer M, Hardy R, Howe LD, Hughes AD, Li L, O'Donnell E, Ong KK, Ploubidis GB, Silverwood RJ, Viner RM, Johnson W. Distinct Body Mass Index Trajectories to Young-Adulthood Obesity and Their Different Cardiometabolic Consequences. Arterioscler Thromb Vasc Biol 2021; 41:1580-1593. [PMID: 33657884 DOI: 10.1161/atvbaha.120.315782] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Tom Norris
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom (T.N., E.O., W.J.)
| | - Liina Mansukoski
- Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada (L.M.)
| | - Mark S Gilthorpe
- Leeds Institute for Data Analytics (M.S.G.), University of Leeds, United Kingdom.,Faculty of Medicine and Health (M.S.G.), University of Leeds, United Kingdom.,Alan Turing Institute, British Library, London, United Kingdom (M.S.G.)
| | - Mark Hamer
- Division of Surgery and Interventional Sciences, Faculty of Medical Sciences (M.H.), University College London, United Kingdom
| | - Rebecca Hardy
- CLOSER (Cohort and Longitudinal Studies Enhancement Resources), Department of Social Science (R.H.), University College London, United Kingdom
| | - Laura D Howe
- MRC (Medical Research Council) Integrative Epidemiology Unit at the University of Bristol, Department of Population Health Sciences, University of Bristol, United Kingdom (L.D.H.)
| | - Alun D Hughes
- Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom
| | - Leah Li
- Population, Policy and Practice Programme, Great Ormond Street Institute of Child Health (L.L., R.M.V.), University College London, United Kingdom
| | - Emma O'Donnell
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom (T.N., E.O., W.J.)
| | - Ken K Ong
- Department of Social Science, Centre for Longitudinal Studies (G.B.P., R.J.S.), University College London, United Kingdom.,MRC Epidemiology Unit and Department of Paediatrics, University of Cambridge, United Kingdom (K.K.O.)
| | | | - Richard J Silverwood
- Department of Social Science, Centre for Longitudinal Studies (G.B.P., R.J.S.), University College London, United Kingdom
| | - Russell M Viner
- Population, Policy and Practice Programme, Great Ormond Street Institute of Child Health (L.L., R.M.V.), University College London, United Kingdom
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom (T.N., E.O., W.J.)
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Norris T, Cole TJ, Bann D, Hamer M, Hardy R, Li L, Ong KK, Ploubidis GB, Viner R, Johnson W. Duration of obesity exposure between ages 10 and 40 years and its relationship with cardiometabolic disease risk factors: A cohort study. PLoS Med 2020; 17:e1003387. [PMID: 33290405 PMCID: PMC7723271 DOI: 10.1371/journal.pmed.1003387] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 10/01/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Individuals with obesity do not represent a homogeneous group in terms of cardiometabolic risk. Using 3 nationally representative British birth cohorts, we investigated whether the duration of obesity was related to heterogeneity in cardiometabolic risk. METHODS AND FINDINGS We used harmonised body mass index (BMI) and cardiometabolic disease risk factor data from 20,746 participants (49.1% male and 97.2% white British) enrolled in 3 British birth cohort studies: the 1946 National Survey of Health and Development (NSHD), the 1958 National Child Development Study (NCDS), and the 1970 British Cohort Study (BCS70). Within each cohort, individual life course BMI trajectories were created between 10 and 40 years of age, and from these, age of obesity onset, duration spent obese (range 0 to 30 years), and cumulative obesity severity were derived. Obesity duration was examined in relation to a number of cardiometabolic disease risk factors collected in mid-adulthood: systolic (SBP) and diastolic blood pressure (DBP), high-density-lipoprotein cholesterol (HDL-C), and glycated haemoglobin (HbA1c). A greater obesity duration was associated with worse values for all cardiometabolic disease risk factors. The strongest association with obesity duration was for HbA1c: HbA1c levels in those with obesity for <5 years were relatively higher by 5% (95% CI: 4, 6), compared with never obese, increasing to 20% (95% CI: 17, 23) higher in those with obesity for 20 to 30 years. When adjustment was made for obesity severity, the association with obesity duration was largely attenuated for SBP, DBP, and HDL-C. For HbA1c, however, the association with obesity duration persisted, independent of obesity severity. Due to pooling of 3 cohorts and thus the availability of only a limited number harmonised variables across cohorts, our models included adjustment for only a small number of potential confounding variables, meaning there is a possibility of residual confounding. CONCLUSIONS Given that the obesity epidemic is characterised by a much earlier onset of obesity and consequently a greater lifetime exposure, our findings suggest that health policy recommendations aimed at preventing early obesity onset, and therefore reducing lifetime exposure, may help reduce the risk of diabetes, independently of obesity severity. However, to test the robustness of our observed associations, triangulation of evidence from different epidemiological approaches (e.g., mendelian randomization and negative control studies) should be obtained.
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Affiliation(s)
- Tom Norris
- School of Sport Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
- * E-mail:
| | - Tim J. Cole
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - David Bann
- Centre for Longitudinal Studies, Department of Social Science, University College London, London, United Kingdom
| | - Mark Hamer
- Division of Surgery & Interventional Science/Institute of Sport, Exercise and Health, UCL, London, United Kingdom
| | | | - Leah Li
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Ken K. Ong
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - George B. Ploubidis
- Centre for Longitudinal Studies, Department of Social Science, University College London, London, United Kingdom
| | - Russell Viner
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - William Johnson
- School of Sport Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
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The Relationship of Early-Life Adversity With Adulthood Weight and Cardiometabolic Health Status in the 1946 National Survey of Health and Development. Psychosom Med 2020; 82:82-89. [PMID: 31880748 DOI: 10.1097/psy.0000000000000751] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Evidence linking early-life adversity with an adverse cardiometabolic profile in adulthood is equivocal. This study investigates early-life adversity in relation to weight and cardiometabolic health status at ages 60 to 64 years. METHODS We included 1059 individuals from the 1946 National Survey of Health and Development. Data on adversity between ages 0 to 15 years were used to create a cumulative childhood psychosocial adversity score and a socioeconomic adversity score. Cardiometabolic and weight/height data collected at ages 60 to 64 years were used to create four groups: metabolically healthy normal weight, metabolically unhealthy normal weight, metabolically healthy overweight/obese, and metabolically unhealthy overweight/obese. Associations between the two exposure scores and weight/health status were examined using multinomial logistic regression, with adjustment for sex and age at the outcome visit. RESULTS Sixty-two percent of normal-weight individuals were metabolically healthy, whereas only 34% of overweight/obese individuals were metabolically healthy. In a mutually adjusted model including both exposure scores, a psychosocial score of ≥3 (compared with 0) was associated with increased risk of being metabolically unhealthy (compared with healthy) in both normal-weight adults (relative risk = 2.49; 95% confidence interval = 0.87-7.13) and overweight/obese adults (1.87; 0.96-3.61). However, the socioeconomic adversity score was more strongly related to metabolic health status in overweight/obese adults (1.60; 0.98-2.60) than in normal-weight adults (0.95; 0.46-1.96). CONCLUSIONS Independently of socioeconomic adversity, psychosocial adversity in childhood may be associated with a poor cardiometabolic health profile, in both normal-weight and overweight/obese adults.
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