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Skrede T, Steene-Johannessen J, Anderssen SA, Resaland GK, Ekelund U. The prospective association between objectively measured sedentary time, moderate-to-vigorous physical activity and cardiometabolic risk factors in youth: a systematic review and meta-analysis. Obes Rev 2019; 20:55-74. [PMID: 30270500 DOI: 10.1111/obr.12758] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 07/11/2018] [Accepted: 08/01/2018] [Indexed: 01/03/2023]
Abstract
Sedentary time and moderate-to-vigorous physical activity (MVPA) may be uniquely related to cardiometabolic health. Excessive sedentary time is suggested as an independent cardiometabolic risk factor, while MVPA is favourably associated with cardiometabolic health. This systematic review and meta-analysis summarizes the evidence on a prospective relationship between objectively measured sedentary time, MVPA and cardiometabolic health indicators in youth. PubMed, Embase, CINAHL, PhyscINFO and SPORTDiscus were systematically searched from January 2000 until April 2018. Studies were included if sedentary time and physical activity were measured objectively and examined associations with body mass index, waist circumference, triglycerides, high-density lipoprotein, insulin, blood pressure or the clustering of these cardiometabolic risk factors. We identified 30 studies, of which 21 were of high quality. No evidence was found for an association between sedentary time and cardiometabolic outcomes. The association between MVPA and individual cardiometabolic risk factors was inconsistent. The meta-analysis for prospective studies found a small but significant effect size between MVPA at baseline and clustered cardiometabolic risk at follow-up (ES -0.014 [95% CI, -0.024 to -0.004]). We conclude that there is no prospective association between sedentary time and cardiometabolic health, while MVPA is beneficially associated with cardiometabolic health in youth.
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Affiliation(s)
- T Skrede
- Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.,Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | | | - S A Anderssen
- Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.,Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - G K Resaland
- Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - U Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
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52
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Mintjens S, Gemke RJBJ, van Poppel MNM, Vrijkotte TGM, Roseboom TJ, van Deutekom AW. Maternal Prepregnancy Overweight and Obesity Are Associated with Reduced Physical Fitness But Do Not Affect Physical Activity in Childhood: The Amsterdam Born Children and Their Development Study. Child Obes 2019; 15:31-39. [PMID: 30280927 DOI: 10.1089/chi.2018.0171] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Maternal overweight/obesity during pregnancy increases offspring's risks of obesity and cardiovascular disease (CVD). A possible pathway is by reduced physical fitness and physical activity (PA) levels in children of overweight/obese mother. We assessed whether maternal prepregnancy overweight/obesity independently determines cardiorespiratory fitness (CRF), muscular strength, moderate-to-vigorous physical activity (MVPA), and sedentary behavior (SB) in 8- to 9-year-old children. We also assessed whether child's fat mass (FM) mediates these associations. METHODS One hundred ninety-four children of Dutch ethnicity aged 8.6 (± 0.4) years were randomly selected from a prospective birth cohort, the Amsterdam Born Children and their Development (ABCD) study. CRF was assessed by the 20-m multistage shuttle run test (20-m MSRT), muscular strength by hand dynamometry, and MVPA and SB by accelerometry. The association of prepregnancy body mass index (BMI) ≥ 25 kg/m2 with these outcome measures was assessed by multivariable linear regressions. RESULTS Mean (± standard deviation) attained 20-m MSRT stage was 5.3 (± 1.7). Compared with children from normal weight women, children of women with prepregnancy overweight/obesity attained a 0.80 (95% confidence interval: 0.15-1.50) lower stage, adjusted for child's sex and MVPA. This association was not mediated by birthweight or child's FM at age 5 years. Maternal prepregnancy overweight/obesity was not associated with child's muscular strength, MVPA, or SB. CONCLUSIONS Maternal prepregnancy overweight/obesity was associated with reduced childhood CRF, but not with muscular strength, PA, or SB. Birthweight and FM at age 5 years did not mediate this association. Reduced CRF may partly explain the increased CVD risk in children of overweight/obese women.
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Affiliation(s)
- Stijn Mintjens
- 1 Department of Pediatrics, Amsterdam Public Health Research Institute, Amsterdam UMC, Emma Children's Hospital, Vrije Universiteit, Amsterdam, the Netherlands.,2 Department of Obstetrics and Gynecology, Amsterdam Reproduction and Development Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Reinoud J B J Gemke
- 1 Department of Pediatrics, Amsterdam Public Health Research Institute, Amsterdam UMC, Emma Children's Hospital, Vrije Universiteit, Amsterdam, the Netherlands
| | - Mireille N M van Poppel
- 3 EMGO Institute for Health and Care Research, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.,4 Institute of Sport Science, University of Graz, Graz, Austria
| | - Tanja G M Vrijkotte
- 5 Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Tessa J Roseboom
- 2 Department of Obstetrics and Gynecology, Amsterdam Reproduction and Development Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,6 Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Arend W van Deutekom
- 7 Department of Pediatric Cardiology, Amsterdam UMC, Emma Children's Hospital, University of Amsterdam, Amsterdam, the Netherlands
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53
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Mäkinen VP. Body Mass Index in Children Validated by Metabolic and Fat Mass Profiling. J Am Coll Cardiol 2018; 72:3155-3157. [PMID: 30545454 DOI: 10.1016/j.jacc.2018.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 10/02/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Ville-Petteri Mäkinen
- Heart Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia; School of Biological Sciences, University of Adelaide, South Australia, Australia.
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54
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Bell JA, Carslake D, O'Keeffe LM, Frysz M, Howe LD, Hamer M, Wade KH, Timpson NJ, Davey Smith G. Associations of Body Mass and Fat Indexes With Cardiometabolic Traits. J Am Coll Cardiol 2018; 72:3142-3154. [PMID: 30545453 PMCID: PMC6290112 DOI: 10.1016/j.jacc.2018.09.066] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 08/15/2018] [Accepted: 09/16/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Body mass index (BMI) is criticized for not distinguishing fat from lean mass and ignoring fat distribution, leaving its ability to detect health effects unclear. OBJECTIVES The aim of this study was to compare BMI with total and regional fat indexes from dual-energy x-ray absorptiometry in their associations with cardiometabolic traits. Duration of exposure to and change in each index across adolescence were examined in relation to detailed traits in young adulthood. METHODS BMI was examined alongside total, trunk, arm, and leg fat indexes (each in kilograms per square meter) from dual-energy x-ray absorptiometry at ages 10 and 18 years in relation to 230 traits from targeted metabolomics at age 18 years in 2,840 offspring from the Avon Longitudinal Study of Parents and Children. RESULTS Higher total fat mass index and BMI at age 10 years were similarly associated with cardiometabolic traits at age 18 years, including higher systolic and diastolic blood pressure, higher very low-density lipoprotein and low-density lipoprotein cholesterol, lower high-density lipoprotein cholesterol, higher triglycerides, and higher insulin and glycoprotein acetyls. Associations were stronger for both indexes measured at age 18 years and for gains in each index from age 10 to 18 years (e.g., 0.45 SDs [95% confidence interval: 0.38 to 0.53] in glycoprotein acetyls per SD unit gain in fat mass index vs. 0.38 SDs [95% confidence interval: 0.27 to 0.48] per SD unit gain in BMI). Associations resembled those for trunk fat index. Higher lean mass index was weakly associated with traits and was not protective against higher fat mass index. CONCLUSIONS The results of this study support abdominal fatness as a primary driver of cardiometabolic dysfunction and BMI as a useful tool for detecting its effects.
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Affiliation(s)
- Joshua A Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
| | - David Carslake
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Linda M O'Keeffe
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Monika Frysz
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Mark Hamer
- School of Sport, Exercise & Health Sciences, Loughborough University, Leicestershire, United Kingdom
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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55
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Metataxonomic Analysis of Individuals at BMI Extremes and Monozygotic Twins Discordant for BMI. Twin Res Hum Genet 2018; 21:203-213. [PMID: 29792248 DOI: 10.1017/thg.2018.26] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The human gut microbiota has been demonstrated to be associated with a number of host phenotypes, including obesity and a number of obesity-associated phenotypes. This study is aimed at further understanding and describing the relationship between the gut microbiota and obesity-associated measurements obtained from human participants. SUBJECTS/METHODS Here, we utilize genetically informative study designs, including a four-corners design (extremes of genetic risk for BMI and of observed BMI; N = 50) and the BMI monozygotic (MZ) discordant twin pair design (N = 30), in order to help delineate the role of host genetics and the gut microbiota in the development of obesity. RESULTS Our results highlight a negative association between BMI and alpha diversity of the gut microbiota. The low genetic risk/high BMI group of individuals had a lower gut microbiota alpha diversity when compared to the other three groups. Although the difference in alpha diversity between the lean and heavy groups of the BMI-discordant MZ twin design did not achieve significance, this difference was observed to be in the expected direction, with the heavier participants having a lower average alpha diversity. We have also identified nine OTUs observed to be associated with either a leaner or heavier phenotype, with enrichment for OTUs classified to the Ruminococcaceae and Oxalobacteraceae taxonomic families. CONCLUSION Our study presents evidence of a relationship between BMI and alpha diversity of the gut microbiota. In addition to these findings, a number of OTUs were found to be significantly associated with host BMI. These findings may highlight separate subtypes of obesity, one driven by genetic factors, the other more heavily influenced by environmental factors.
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56
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Doherty A, Smith-Byrne K, Ferreira T, Holmes MV, Holmes C, Pulit SL, Lindgren CM. GWAS identifies 14 loci for device-measured physical activity and sleep duration. Nat Commun 2018; 9:5257. [PMID: 30531941 PMCID: PMC6288145 DOI: 10.1038/s41467-018-07743-4] [Citation(s) in RCA: 198] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 11/22/2018] [Indexed: 01/09/2023] Open
Abstract
Physical activity and sleep duration are established risk factors for many diseases, but their aetiology is poorly understood, partly due to relying on self-reported evidence. Here we report a genome-wide association study (GWAS) of device-measured physical activity and sleep duration in 91,105 UK Biobank participants, finding 14 significant loci (7 novel). These loci account for 0.06% of activity and 0.39% of sleep duration variation. Genome-wide estimates of ~ 15% phenotypic variation indicate high polygenicity. Heritability is higher in women than men for overall activity (23 vs. 20%, p = 1.5 × 10-4) and sedentary behaviours (18 vs. 15%, p = 9.7 × 10-4). Heritability partitioning, enrichment and pathway analyses indicate the central nervous system plays a role in activity behaviours. Two-sample Mendelian randomisation suggests that increased activity might causally lower diastolic blood pressure (beta mmHg/SD: -0.91, SE = 0.18, p = 8.2 × 10-7), and odds of hypertension (Odds ratio/SD: 0.84, SE = 0.03, p = 4.9 × 10-8). Our results advocate the value of physical activity for reducing blood pressure.
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Affiliation(s)
- Aiden Doherty
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.
- Nuffield Department of Population Health, BHF Centre of Research Excellence, University of Oxford, Oxford, OX3 7LF, UK.
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK.
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Teresa Ferreira
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Michael V Holmes
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Chris Holmes
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- Department of Statistics, University of Oxford, Oxford, OX1 3LB, UK
| | - Sara L Pulit
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Program in Medical and Population Genetics, Broad Institute, Cambridge, 02142, MA, USA
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57
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Schwarzfischer P, Gruszfeld D, Socha P, Luque V, Closa-Monasterolo R, Rousseaux D, Moretti M, Mariani B, Verduci E, Koletzko B, Grote V. Longitudinal analysis of physical activity, sedentary behaviour and anthropometric measures from ages 6 to 11 years. Int J Behav Nutr Phys Act 2018; 15:126. [PMID: 30526600 PMCID: PMC6286599 DOI: 10.1186/s12966-018-0756-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 11/21/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND/OBJECTIVES The aim of this study was to examine the effect of physical activity (PA) and sedentary behaviour (SB) on body mass index (BMI) and fat mass index (FMI) in children over the course of five years and identify potential bi-directional associations. SUBJECTS/METHODS Data were drawn from the EU Childhood Obesity Project (CHOP). PA and SB were measured with the SenseWear Armband 2 at the ages of 6 (T1), 8 (T2) and 11 (T3) years. Height and weight were measured and BMI was calculated at each time point, resulting in 1254 complete observations from 600 children. Bio impedance analysis was used to measure body fat mass and eventually calculate FMI. To examine the longitudinal association between PA/SB and BMI/FMI as well as to account for repeated measure on these children, mixed model analysis was employed. RESULTS Higher levels of total PA and moderate-to-vigorous PA (MVPA) were associated with lower BMI and FMI and higher SB with higher BMI and FMI over the five year period. When looking at the age dependent effects, negative associations of MVPA (βMVPA x age: - 0.05, 95% confidence interval (CI): - 0.09 - -0.01, p = 0.007) and positive associations of SB (βSB x age: 0.04, 95% CI: 0.02-0.06, p < 0.001) increased with each year of age. In a model combining these two effects, only SB x age interaction remained significant (βSB x age: 0.04, 95% CI: 0.03-0.06, p = 0.01). No significant interaction between MVPA and SB could be discerned. Light Physical activity showed no significant associations with BMI or FMI. When reversing outcome and predictor; higher BMI or FMI showed a negative association with MVPA and a positive association with SB, but no age dependency. CONCLUSIONS More time per day in SB was associated with a higher BMI over the course of five years, whereas higher MVPA had an inverse effect. In a combined model, only effects of higher SB remained significant, emphasizing the importance of SB in obesity prevention. Present bidirectional associations, where lower body size was associated with higher PA and lower SB, indicated the need for an integrated approach of activity and weight control for obesity prevention. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT00338689 . Registered: June 19, 2006 (retrospectively registered).
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Affiliation(s)
- Phillipp Schwarzfischer
- Division of Metabolic and Nutritional Medicine, LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Lindwurmstr 4, 80337, Muenchen, Germany
| | - Dariusz Gruszfeld
- Neonatal Intensive Care Unit, Children's Memorial Health Institute, Warsaw, Poland
| | - Piotr Socha
- Department of Gastroenterology, Children's Memorial Health Institute, Warsaw, Poland
| | - Veronica Luque
- Paediatrics Research Unit, Universitat Rovira i Virgili, IISPV, Reus, Spain
| | | | | | | | - Benedetta Mariani
- Department of Paediatrics, San Paolo Hospital, University of Milan, Milan, Italy
| | - Elvira Verduci
- Department of Paediatrics, San Paolo Hospital, University of Milan, Milan, Italy
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Lindwurmstr 4, 80337, Muenchen, Germany
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Lindwurmstr 4, 80337, Muenchen, Germany.
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58
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Wade KH, Chiesa ST, Hughes AD, Chaturvedi N, Charakida M, Rapala A, Muthurangu V, Khan T, Finer N, Sattar N, Howe LD, Fraser A, Lawlor DA, Davey Smith G, Deanfield JE, Timpson NJ. Assessing the causal role of body mass index on cardiovascular health in young adults: Mendelian randomization and recall-by-genotype analyses. Circulation 2018; 138:2187-2201. [PMID: 30524135 PMCID: PMC6250296 DOI: 10.1161/circulationaha.117.033278] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 06/12/2018] [Indexed: 01/19/2023]
Abstract
Background Body mass index (BMI) has been suggested to be causally related to cardiovascular health in mid-to-late life, but this has not been explored systematically at younger ages - nor with detailed cardiovascular phenotyping. Recall-by-Genotype (RbG) is an approach that enables the collection of precise phenotypic measures in smaller studies, whilst maintaining statistical power and ability for causal inference. Methods In this study, we used a combination of conventional multivariable regression analysis, Mendelian randomization (MR) and sub-sample RbG methodologies to estimate the causal effect of BMI on gross-level and detailed cardiovascular health in healthy participants from the Avon Longitudinal Study of Parents and Children at age 17 (N=1420-3108 for different outcomes) and an independent sample from the same cohort (for RbG) study at age 21 (N=386-418). Results In both MR and RbG analyses, results suggested that higher BMI causes higher blood pressure (BP) and left ventricular mass index (LVMI) in young adults (e.g., difference in LVMI per kg/m2 using MR: 1.07g/m2.7; 95% CI: 0.62, 1.52; P=3.87x10-06 and per 3.58kg/m2 using RbG: 1.65g/m2.7 95% CI: 0.83, 2.47; P=0.0001). Additionally, RbG results suggested a causal role of higher BMI on higher stroke volume (SV: difference per 3.58kg/m2: 1.49ml/m2.04; 95% CI: 0.62, 2.35; P=0.001) and cardiac output (CO: difference per 3.58kg/m2: 0.11l/min/m1.83; 95% CI: 0.03, 0.19; P=0.01) but no strong evidence for a causal role on systemic vascular resistance or total arterial compliance. Neither analysis supported a causal role of higher BMI on heart rate. Conclusions Complementary MR and RbG causal methodologies, together with a range of sensitivity analyses, suggest that higher BMI is likely to cause worse cardiovascular health, specifically higher BP and LVMI, even in youth. Higher BMI also resulted in increased CO in the RbG study, which appeared to be solely driven by SV, as neither MR nor RbG analyses suggested a causal effect of BMI on heart rate. These consistent results support efforts to reduce BMI from a young age to prevent later adverse cardiovascular health and illustrate the potential for phenotypic resolution with maintained analytical power using RbG.
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Affiliation(s)
- Kaitlin H. Wade
- Medical Research Council Integrative Epidemiology Unit (K.H.W., L.D.H., A.F., D.A.L., G.D.S., N.J.T.)
- Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, UK (K.H.W., L.D.H., D.A.L., G.D.S., N.J.T.)
| | - Scott T. Chiesa
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
| | - Alun D. Hughes
- Cardiometabolic Phenotyping Group, Institute of Cardiovascular Science, University College London, UK (A.D.H., A.R., N.C.)
| | - Nish Chaturvedi
- Cardiometabolic Phenotyping Group, Institute of Cardiovascular Science, University College London, UK (A.D.H., A.R., N.C.)
| | - Marietta Charakida
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
| | - Alicja Rapala
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
- Cardiometabolic Phenotyping Group, Institute of Cardiovascular Science, University College London, UK (A.D.H., A.R., N.C.)
| | - Vivek Muthurangu
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
| | - Tauseef Khan
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
| | - Nicholas Finer
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation (BHF) Glasgow Cardiovascular Research Centre, University of Glasgow, UK (N.S.)
| | - Laura D. Howe
- Medical Research Council Integrative Epidemiology Unit (K.H.W., L.D.H., A.F., D.A.L., G.D.S., N.J.T.)
- Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, UK (K.H.W., L.D.H., D.A.L., G.D.S., N.J.T.)
| | - Abigail Fraser
- Medical Research Council Integrative Epidemiology Unit (K.H.W., L.D.H., A.F., D.A.L., G.D.S., N.J.T.)
- Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, UK (K.H.W., L.D.H., D.A.L., G.D.S., N.J.T.)
| | - Debbie A. Lawlor
- Medical Research Council Integrative Epidemiology Unit (K.H.W., L.D.H., A.F., D.A.L., G.D.S., N.J.T.)
- Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, UK (K.H.W., L.D.H., D.A.L., G.D.S., N.J.T.)
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit (K.H.W., L.D.H., A.F., D.A.L., G.D.S., N.J.T.)
- Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, UK (K.H.W., L.D.H., D.A.L., G.D.S., N.J.T.)
| | - John E. Deanfield
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, UK (S.T.C, M.C., A.R., V.M., T.K., N.F., J.E.D.)
| | - Nicholas J. Timpson
- Medical Research Council Integrative Epidemiology Unit (K.H.W., L.D.H., A.F., D.A.L., G.D.S., N.J.T.)
- Population Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, UK (K.H.W., L.D.H., D.A.L., G.D.S., N.J.T.)
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59
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Reddon H, Patel Y, Turcotte M, Pigeyre M, Meyre D. Revisiting the evolutionary origins of obesity: lazy versus peppy-thrifty genotype hypothesis. Obes Rev 2018; 19:1525-1543. [PMID: 30261552 DOI: 10.1111/obr.12742] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 06/26/2018] [Accepted: 07/01/2018] [Indexed: 12/31/2022]
Abstract
The recent global obesity epidemic is attributed to major societal and environmental changes, such as excessive energy intake and sedentary lifestyle. However, exposure to 'obesogenic' environments does not necessarily result in obesity at the individual level, as 40-75% of body mass index variation in population is attributed to genetic differences. The thrifty genotype theory posits that genetic variants promoting efficient food sequestering and optimal deposition of fat during periods of food abundance were evolutionarily advantageous for the early hunter-gatherer and were positively selected. However, the thrifty genotype is likely too simplistic and fails to provide a justification for the complex distribution of obesity predisposing gene variants and for the broad range of body mass index observed in diverse ethnic groups. This review proposes that gene pleiotropy may better account for the variability in the distribution of obesity susceptibility alleles across modern populations. We outline the lazy-thrifty versus peppy-thrifty genotype hypothesis and detail the body of evidence in the literature in support of this novel concept. Future population genetics and mathematical modelling studies that account for pleiotropy may further improve our understanding of the evolutionary origins of the current obesity epidemic.
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Affiliation(s)
- H Reddon
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Y Patel
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - M Turcotte
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - M Pigeyre
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
| | - D Meyre
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
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Braudt DB. Sociogenomics in the 21 st Century: An Introduction to the History and Potential of Genetically-informed Social Science. SOCIOLOGY COMPASS 2018; 12:e12626. [PMID: 30369963 PMCID: PMC6201284 DOI: 10.1111/soc4.12626] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 06/11/2018] [Indexed: 06/08/2023]
Abstract
This article reviews research at the intersection of genetics and sociology and provides an introduction to the current data, methods, and theories used in sociogenomic research. To accomplish this, I review behavioral genetics models, candidate gene analysis, genome-wide complex trait analysis, and the use of polygenic scores (sometimes referred to as polygenic risk scores) in the study of complex human behaviors and traits. The information provided is meant to equip readers with the necessary tools to: (1) understand the methodology employed by each type of analysis, (2) intelligently interpret findings from sociogenomic research, and (3) understand the importance of sociologists in the ever-growing field of sociogenomics. To unify these three tasks, I rely on various examples from recent sociogenomic analyses of educational attainment focusing on social stratification and inequality.
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Affiliation(s)
- David B Braudt
- Department of Sociology, University of North Carolina at Chapel Hill
- Carolina Population Center, University of North Carolina at Chapel Hill
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61
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Pinto Pereira SM, Power C. Change in health and social factors in mid-adulthood and corresponding changes in leisure-time physical inactivity in a prospective cohort. Int J Behav Nutr Phys Act 2018; 15:89. [PMID: 30219081 PMCID: PMC6139142 DOI: 10.1186/s12966-018-0723-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 09/05/2018] [Indexed: 12/12/2022] Open
Abstract
Background To identify whether changes in adult health and social factors are associated with simultaneous changes in inactivity. Methods Health, social factors and leisure-time inactivity (activity frequency < 1/week) were self-reported at 33y and 50y in the 1958 British birth cohort (N = 12,271). Baseline (33y) health and social factors and also patterns of change in factors 33y-to-50y were related to inactivity 33y-to-50y (never inactive, persistently inactive, deteriorating to inactivity, or improving from inactivity) using multinomial logistic regression. Results Approximately 31% were inactive at 33y and 50y; 35% changed status 33y-to-50y (17% deteriorating to inactivity, 18% improving from inactivity). Baseline poor health and obesity were associated with subsequent (33y-to-50y) inactivity; e.g. for poor health, relative risk ratios (RRRs) for deteriorating to inactivity (vs never inactive) and improving from inactivity (vs persistently inactive) were 1.38(1.16,1.64) and 0.77(0.63,0.94) respectively. Adverse changes in health and weight were associated with simultaneous adverse changes in inactivity; e.g. worsening health (vs always good/excellent health) was associated with higher risk of deteriorating to inactivity (RRR:2.20(1.85,2.62)) and lower risk of improving from inactivity (RRR:0.61(0.49,0.77)). However, improving health and weight loss were not associated with improving from inactivity. Worsening self-efficacy 33y-to-50y was associated with lower risk of improving from inactivity; there was no association between improving self-efficacy and inactivity change. Downward social mobility was not associated with deteriorating to or improving from inactivity. Changes in depression symptom level, marriage/co-habitation or parenthood 33y-to-50y were not associated with inactivity changes. No associations were observed for employment. Conclusions Associated changes in mid-life health factors with deleterious inactivity changes, highlight the importance of maintaining health, weight and self-efficacy across adulthood to deter inactivity. Electronic supplementary material The online version of this article (10.1186/s12966-018-0723-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Chris Power
- Population, Policy and Practice, UCL Great Ormond Street Hospital Institute of Child Health, University College London, London, WC1N 1EH, UK
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Tarp J, Child A, White T, Westgate K, Bugge A, Grøntved A, Wedderkopp N, Andersen LB, Cardon G, Davey R, Janz KF, Kriemler S, Northstone K, Page AS, Puder JJ, Reilly JJ, Sardinha LB, van Sluijs EMF, Ekelund U, Wijndaele K, Brage S. Physical activity intensity, bout-duration, and cardiometabolic risk markers in children and adolescents. Int J Obes (Lond) 2018; 42:1639-1650. [PMID: 30006582 PMCID: PMC6160399 DOI: 10.1038/s41366-018-0152-8] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/04/2018] [Accepted: 06/03/2018] [Indexed: 01/19/2023]
Abstract
OBJECTIVES To determine the role of physical activity intensity and bout-duration in modulating associations between physical activity and cardiometabolic risk markers. METHODS A cross-sectional study using the International Children's Accelerometry Database (ICAD) including 38,306 observations (in 29,734 individuals aged 4-18 years). Accelerometry data was summarized as time accumulated in 16 combinations of intensity thresholds (≥500 to ≥3000 counts/min) and bout-durations (≥1 to ≥10 min). Outcomes were body mass index (BMI, kg/m2), waist circumference, biochemical markers, blood pressure, and a composite score of these metabolic markers. A second composite score excluded the adiposity component. Linear mixed models were applied to elucidate the associations and expressed per 10 min difference in daily activity above the intensity/bout-duration combination. Estimates (and variance) from each of the 16 combinations of intensity and bout-duration examined in the linear mixed models were analyzed in meta-regression to investigate trends in the association. RESULTS Each 10 min positive difference in physical activity was significantly and inversely associated with the risk factors irrespective of the combination of intensity and bout-duration. In meta-regression, each 1000 counts/min increase in intensity threshold was associated with a -0.027 (95% CI: -0.039 to -0.014) standard deviations lower composite risk score, and a -0.064 (95% CI: -0.09 to -0.038) kg/m2 lower BMI. Conversely, meta-regression suggested bout-duration was not significantly associated with effect-sizes (per 1 min increase in bout-duration: -0.002 (95% CI: -0.005 to 0.0005) standard deviations for the composite risk score, and -0.005 (95% CI: -0.012 to 0.002) kg/m2 for BMI). CONCLUSIONS Time spent at higher intensity physical activity was the main determinant of variation in cardiometabolic risk factors, not bout-duration. Greater magnitude of associations was consistently observed with higher intensities. These results suggest that, in children and adolescents, physical activity, preferably at higher intensities, of any bout-duration should be promoted.
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Affiliation(s)
- Jakob Tarp
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark.
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
| | | | - Tom White
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Kate Westgate
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Anna Bugge
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Anders Grøntved
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Niels Wedderkopp
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark
- Sports Medicine Clinic, The Orthopedic Department, Hospital of Lillebaelt Middelfart, Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Lars B Andersen
- Department of Teacher Education and Sport, Western Norwegian University of Applied Sciences, Sogndal, Norway
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, 9000, Ghent, Belgium
| | - Rachel Davey
- Centre for Research and Action in Public Health, University of Canberra, Canberra, Australia
| | - Kathleen F Janz
- Department of Health and Human Physiology, University of Iowa, Iowa City, USA
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | | | - Angie S Page
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Jardena J Puder
- Service of Endocrinology, Diabetes and Metabolism and Division of Pediatric Endocrinology, Diabetes and Obesity, University Hospital Lausanne, Lausanne, Switzerland
| | - John J Reilly
- University of Strathclyde, Physical Activity for Health Group, School of Psychological Sciences and Health, Glasgow, Scotland, UK
| | - Luis B Sardinha
- Exercise and Health Laboratory, Faculty of Human Kinetics, Universidade de Lisboa, Lisbon, Portugal
| | - Esther M F van Sluijs
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
- Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Katrien Wijndaele
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Søren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
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Bell JA, Hamer M, Richmond RC, Timpson NJ, Carslake D, Davey Smith G. Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study. PLoS Med 2018; 15:e1002649. [PMID: 30204755 PMCID: PMC6133272 DOI: 10.1371/journal.pmed.1002649] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 08/03/2018] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Multiple occasions of device-measured physical activity have not been previously examined in relation to metabolic traits. We described associations of total activity, moderate-to-vigorous physical activity (MVPA), and sedentary time from three accelerometry measures taken across adolescence with detailed traits related to systemic metabolism. METHODS AND FINDINGS There were 1,826 male and female participants recruited at birth in 1991-1992 via mothers into the Avon Longitudinal Study of Parents and Children offspring cohort who attended clinics in 2003-2005, 2005-2006, and 2006-2008 who were included in ≥1 analysis. Waist-worn uniaxial accelerometers measured total activity (counts/min), MVPA (min/d), and sedentary time (min/d) over ≥3 d at mean age 12y, 14y, and 15y. Current activity (at age 15y), mean activity across occasions, interaction by previous activity, and change in activity were examined in relation to systolic and diastolic blood pressure, insulin, C-reactive protein, and 230 traits from targeted metabolomics (nuclear magnetic resonance spectroscopy), including lipoprotein cholesterol and triglycerides, amino and fatty acids, glycoprotein acetyls, and others, at age 15y. Mean current total activity was 477.5 counts/min (SD = 164.0) while mean MVPA and sedentary time durations were 23.6 min/d (SD = 17.9) and 522.1 min/d (SD = 66.0), respectively. Mean body mass index at age 15y was 21.4 kg/m2 (SD = 3.5). Correlations between first and last activity measurement occasions were low (e.g., r = 0.40 for counts/min). Current activity was most strongly associated with cholesterol and triglycerides in high-density lipoprotein (HDL) and very low-density lipoprotein (VLDL) particles (e.g., -0.002 mmol/l or -0.18 SD units; 95% CI -0.24--0.11 for triglycerides in chylomicrons and extremely large very low-density lipoprotein [XL VLDL]) and with glycoprotein acetyls (-0.02 mmol/l or -0.16 SD units; 95% CI -0.22--0.10), among others. Associations were similar for mean activity across 3 occasions. Attenuations were modest with adjustment for fat mass index based on dual-energy X-ray absorptiometry (DXA). In mutually adjusted models, higher MVPA and sedentary time were oppositely associated with cholesterol and triglycerides in VLDL and HDL particles (MVPA more strongly with glycoprotein acetyls and sedentary time more strongly with amino acids). Associations appeared less consistent for sedentary time than for MVPA based on longer-term measures and were weak for change in all activity types from age 12y-15y. Evidence was also weak for interaction between activity types at age 15y and previous activity measures in relation to most traits (minimum P = 0.003; median P = 0.26 for counts/min) with interaction coefficients mostly positive. Study limitations include modest sample sizes and relatively short durations of accelerometry measurement on each occasion (3-7 d) and of time lengths between first and last accelerometry occasions (<4 years), which can obscure patterns from chance variation and limit description of activity trajectories. Activity was also recorded using uniaxial accelerometers which predated more sensitive triaxial devices. CONCLUSIONS Our results support associations of physical activity with metabolic traits that are small in magnitude and more robust for higher MVPA than lower sedentary time. Activity fluctuates over time, but associations of current activity with most metabolic traits do not differ by previous activity. This suggests that the metabolic effects of physical activity, if causal, depend on most recent engagement.
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Affiliation(s)
- Joshua A. Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Mark Hamer
- School of Sport, Exercise & Health Sciences, Loughborough University, Leicestershire, United Kingdom
| | - Rebecca C. Richmond
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - David Carslake
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Baldock KL, Paquet C, Howard NJ, Coffee NT, Taylor AW, Daniel M. Gender-specific associations between perceived and objective neighbourhood crime and metabolic syndrome. PLoS One 2018; 13:e0201336. [PMID: 30048521 PMCID: PMC6062143 DOI: 10.1371/journal.pone.0201336] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 07/13/2018] [Indexed: 12/02/2022] Open
Abstract
Much research has considered the relationship between neighbourhood crime and physical activity, but few studies have assessed clinical outcomes consequent to behaviour, such as cardiometabolic risk. Fewer still have simultaneously assessed perceived and objective measures of crime. Perceptions of crime and actual victimisation vary according to gender; thus, this study sought to assess: 1) correspondence between perceived and objective neighbourhood crime; and 2) gender-specific associations between perceived and reported crime and metabolic syndrome, representing cardiometabolic risk. The indirect effect of neighbourhood crime on metabolic syndrome via walking was additionally evaluated. An Australian population-based biomedical cohort study (2004–2007) collected biomedical, socio-demographic, and neighbourhood perceptions data from n = 1,172 urban-dwelling, adults. Area-level reported crime rates were standardised and linked to individual data based on participants' residential location. Correspondence between actual and perceived crime measures was assessed using Pearson correlation coefficients. Cross-sectional associations between crime and metabolic syndrome were analysed using generalised estimating equations regression models accounting for socio-demographic factors and area-level income. Correspondence between perceived and objective crime was small to medium among men and women (r = 0.17 to 0.33). Among men, metabolic syndrome was related to rates of violent (OR = 1.21, 95% CI 1.08–1.35) and total crime (OR = 1.17, 95% CI 1.04–1.32), after accounting for perceived crime. Among women, metabolic syndrome was related to perceived crime (OR = 1.35, 95% CI 1.14–1.60) after accounting for total reported crime. Among women, there were indirect effects of perceived crime and property crime on metabolic syndrome through walking. Results indicate that crime, an adverse social exposure, is linked to clinical health status. Crime rates, and perceptions of crime and safety, differentially impact upon cardiometabolic health according to gender. Social policy and public health strategies targeting crime reduction, as well as strategies to increase perceptions of safety, have potential to contribute to improved cardiometabolic outcomes.
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Affiliation(s)
- Katherine L. Baldock
- Centre for Population Health Research, School of Health Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
- * E-mail:
| | - Catherine Paquet
- Centre for Population Health Research, School of Health Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
| | - Natasha J. Howard
- Wardliparingga Aboriginal Research Unit, Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
| | - Neil T. Coffee
- Centre for Research & Action in Public Health, Health Research Institute, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Anne W. Taylor
- Population Research and Outcome Studies, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Mark Daniel
- Centre for Research & Action in Public Health, Health Research Institute, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia
- Department of Medicine, St Vincent’s Hospital, The University of Melbourne, Melbourne, Victoria, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
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Isaura ER, Chen YC, Yang SH. Pathways from Food Consumption Score to Cardiovascular Disease: A Seven-Year Follow-Up Study of Indonesian Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081567. [PMID: 30042353 PMCID: PMC6121947 DOI: 10.3390/ijerph15081567] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/21/2018] [Accepted: 07/23/2018] [Indexed: 11/16/2022]
Abstract
Background: Available prospective studies of food insecurity and cardiovascular diseases (CVD) have included obesity and hypertension as the modifiable risk factors. Studies using the physical activity measures are lacking, and where to contribute to counterbalance the risk associated with food insecurity and CVD remains unclear. We aimed to use structural equation modelling (SEM) to explore the complex direct and indirect factor variables influencing cardiovascular disease (CVD) during a seven-year follow-up study. Methods: For 3955 adults who participated in the Indonesian Family Life Surveys in 2007 and 2014, we used SEM to examine the direct and indirect relationships of food consumption score, body shape index, physical activity volume, and blood pressures on CVD. Results: Based on the beta coefficients from a regression analysis, the significant direct effects (p < 0.001) for CVD were food consumption score (FCS), a body shape index (ABSI), vigorous physical activity volume (VPAV), and systolic blood pressure (SBP). Indirect (p = 0.004–p < 0.001) effects for CVD were FCS, ABSI, moderate physical activity volume (MPAV), and VPAV. Food-insecure people are more likely to consume high-calorie diets that lead to obesity, which, together with a lack of vigorous physical activity, leads to hypertension and CVD. Conclusions: Of the multiple factors influencing CVD, the modifiable risk factors were FCS, ABSI, and VPAV. Hence, the recommendations for CVD prevention should include targeting food insecurity, body shape index, and vigorous physical activity besides the measurement of blood pressure.
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Affiliation(s)
- Emyr Reisha Isaura
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11031, Taiwan.
| | - Yang-Ching Chen
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11031, Taiwan.
- Department of Family Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan.
- School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
| | - Shwu-Huey Yang
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11031, Taiwan.
- Nutrition Research Center, Taipei Medical University Hospital, Taipei 11031, Taiwan.
- Research Center of Geriatric Nutrition, College of Nutrition, Taipei Medical University, Taipei 11031, Taiwan.
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66
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Wade KH, Richmond RC, Davey Smith G. Physical activity and longevity: how to move closer to causal inference. Br J Sports Med 2018; 52:890-891. [PMID: 29545236 PMCID: PMC6047155 DOI: 10.1136/bjsports-2017-098995] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2018] [Indexed: 12/14/2022]
Affiliation(s)
- Kaitlin H Wade
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rebecca C Richmond
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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He L, Culminskaya I, Loika Y, Arbeev KG, Bagley O, Duan M, Yashin AI, Kulminski AM. Causal effects of cardiovascular risk factors on onset of major age-related diseases: A time-to-event Mendelian randomization study. Exp Gerontol 2018; 107:74-86. [PMID: 28964830 PMCID: PMC5874182 DOI: 10.1016/j.exger.2017.09.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 09/01/2017] [Accepted: 09/26/2017] [Indexed: 01/10/2023]
Abstract
BACKGROUNDS Elucidating the causal effects of common intermediate risk factors on the onset of age-related diseases is indispensable for developing prevention and intervention procedures. METHODS We conducted two-stage time-to-event Mendelian randomization meta-analyses combining five large-scale longitudinal cohorts to investigate dynamic causal effects of cardiovascular disease risk factors including body mass index (BMI), systolic blood pressure (SBP), and lipids on the age-at-onset of age-related diseases. We constructed weighted polygenic scores based on genetic markers from previously reported genome-wide association studies as instrumental variables to estimate the causal effects. To avoid false positive due to potential pleiotropic effects of the genetic markers, we performed a leave-one-out sensitivity analysis and an MR-Egger sensitivity analysis that we expanded in the survival context. RESULTS Our results show that elevated BMI increases the absolute risk of type 2 diabetes (T2D) (p=7.68e-04), heart failure (p=9.03e-03), and cardiovascular diseases (CVD) (p=1.69e-03) and the causal effects start at different ages. A significant association between BMI and the risk of stroke is observed; however, the sensitivity analyses suggest that the association is attributed to the potential pleiotropic effects of rs2867125 and rs1558902. Raised SBP levels are significantly associated with the development of atrial fibrillation (p=6.42e-03). Low-density lipoprotein cholesterol (LDL-C) levels are inversely associated with the age-at-onset of T2D (p=1.05e-02). In addition, LDL-C and triglycerides are inversely associated with the risks of cancer and T2D, respectively. Nevertheless, the sensitivity analyses suggest that these associations are probably due to pleiotropic effects of several single-nucleotide polymorphisms including rs4970834 and rs1260326. CONCLUSIONS Our results highlight the involvement of BMI in the development of multiple age-related diseases. Some observed causal associations can attribute to pleiotropic effects of some genetic variations. These findings have important implications in unraveling causal effects of common risk factors on age-related diseases and guiding effective intervention strategies to reduce the incidence of these diseases.
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Affiliation(s)
- Liang He
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA.
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Konstantin G Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Matt Duan
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Anatoliy I Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Alexander M Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA.
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Pinto Pereira SM, Power C. Early adulthood determinants of mid-life leisure-time physical inactivity stability and change: Findings from a prospective birth cohort. J Sci Med Sport 2018; 21:720-726. [PMID: 29239783 DOI: 10.1016/j.jsams.2017.11.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 10/25/2017] [Accepted: 11/15/2017] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Physical inactivity is highly prevalent. Knowledge is needed of influences on inactive lifestyles. We aimed to establish whether early adult factors predict subsequent inactivity patterns in mid-adulthood. DESIGN Leisure-time inactivity (activity frequency<1/week) was assessed at 33y and 50y in the 1958 British Birth cohort (N=12,271). METHODS We assessed associations of early adult (23-33y) physical status, mental function, social, family and neighbourhood circumstances with four 33-50y patterns (never inactive, persistently inactive, deteriorating or improving) using multinomial logistic regression with and without adjustment for childhood factors (e.g. social class). RESULTS Inactivity prevalence was similar at 33y and 50y (∼31%), but 17% deteriorated and 18% improved with age. Factors associated with persistent vs never inactive were: limiting illness (relative risk ratio (RRR):1.21(1.04,1.42) per number of ages exposed (0,1 or 2 times across ages 23y and 33y), obesity (1.33(1.16,1.54) per number of ages exposed), height (0.93(0.89,0.98) per 5cm), depression (1.32(1.19,1.47) per number of ages exposed); education (1.28(1.20,1.38) per decrease on 5-point scale) and neighbourhood (1.59(1.37,1.86) in 'industrial/local authority housing areas' and 1.33(1.12,1.58) in 'growth/metropolitan inner areas' vs 'suburbs, service, rural or seaside areas'). Associations were broadly similar for inactivity deterioration. Industrial/local authority housing areas (0.75(0.61,0.91)) and longer obesity exposure (0.78(0.64,0.95)) were associated with lower RRRs for improvement. Number of children was associated with improvement, although associations varied by age. Associations remained after adjustment for childhood factors. CONCLUSIONS Several early adult factors are associated with inactivity persistence and deterioration; fewer with improvement. Obesity duration and neighbourhood lived in during young adulthood had long-lasting associations with inactivity patterns in mid-life.
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Affiliation(s)
| | - Chris Power
- UCL Great Ormond Street Institute of Child Health, UK
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The Contributions of ‘Diet’, ‘Genes’, and Physical Activity to the Etiology of Obesity: Contrary Evidence and Consilience. Prog Cardiovasc Dis 2018; 61:89-102. [DOI: 10.1016/j.pcad.2018.06.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Accepted: 06/10/2018] [Indexed: 12/12/2022]
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Klimentidis YC, Raichlen DA, Bea J, Garcia DO, Wineinger NE, Mandarino LJ, Alexander GE, Chen Z, Going SB. Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE. Int J Obes (Lond) 2018; 42:1161-1176. [PMID: 29899525 PMCID: PMC6195860 DOI: 10.1038/s41366-018-0120-3] [Citation(s) in RCA: 215] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 04/03/2018] [Accepted: 04/30/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND/OBJECTIVES Physical activity (PA) protects against a wide range of diseases. Habitual PA appears to be heritable, motivating the search for specific genetic variants that may inform efforts to promote PA and target the best type of PA for each individual. SUBJECTS/METHODS We used data from the UK Biobank to perform the largest genome-wide association study of PA to date, using three measures based on self-report (nmax = 377,234) and two measures based on wrist-worn accelerometry data (nmax = 91,084). We examined genetic correlations of PA with other traits and diseases, as well as tissue-specific gene expression patterns. With data from the Atherosclerosis Risk in Communities (ARIC; n = 8,556) study, we performed a meta-analysis of our top hits for moderate-to-vigorous PA (MVPA). RESULTS We identified ten loci across all PA measures that were significant in both a basic and a fully adjusted model (p < 5 × 10-9). Upon meta-analysis of the nine top hits for MVPA with results from ARIC, eight were genome-wide significant. Interestingly, among these, the rs429358 variant in the APOE gene was the most strongly associated with MVPA, whereby the allele associated with higher Alzheimer's risk was associated with greater MVPA. However, we were not able to rule out possible selection bias underlying this result. Variants in CADM2, a gene previously implicated in obesity, risk-taking behavior and other traits, were found to be associated with habitual PA. We also identified three loci consistently associated (p < 5 × 10-5) with PA across both self-report and accelerometry, including CADM2. We found genetic correlations of PA with educational attainment, chronotype, psychiatric traits, and obesity-related traits. Tissue enrichment analyses implicate the brain and pituitary gland as locations where PA-associated loci may exert their actions. CONCLUSIONS These results provide new insight into the genetic basis of habitual PA, and the genetic links connecting PA with other traits and diseases.
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Affiliation(s)
- Yann C Klimentidis
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | | | - Jennifer Bea
- Department of Medicine, University of Arizona, Tucson, AZ, USA
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
| | - David O Garcia
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | | | - Lawrence J Mandarino
- Center for Disparities in Diabetes, Obesity and Metabolism, Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Gene E Alexander
- Departments of Psychology and Psychiatry, Neuroscience and Physiological Sciences Interdisciplinary Programs, BIO5 Institute, and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
- Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Zhao Chen
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Scott B Going
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ, USA
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Evaluation of a Pilot School-Based Physical Activity Clustered Randomised Controlled Trial-Active Schools: Skelmersdale. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15051011. [PMID: 29772839 PMCID: PMC5982050 DOI: 10.3390/ijerph15051011] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 05/09/2018] [Accepted: 05/14/2018] [Indexed: 12/12/2022]
Abstract
Schools are key environments in which physical activity (PA) can be promoted. Various strategies and opportunities should be used to engage children in PA within schools. The aim of this study was to evaluate the effectiveness of the multi-component Active Schools: Skelmersdale (AS:Sk) pilot intervention on children's PA and sedentary time (ST). The AS:Sk intervention was implemented for eight weeks in four schools with three control schools continuing normal practice. It consisted of eight components: active breaks, bounce at the bell, 'Born To Move' videos, Daily Mile or 100 Mile Club, playground activity challenge cards, physical education teacher training, newsletters, and activity homework. Child-level measures were collected at baseline and follow-up, including objectively measured PA. After accounting for confounding variables, the intervention had a significant effect on school day ST which was significantly less for the intervention children by 9 min per day compared to the control group. The AS:Sk pilot intervention was effective in reducing school day ST but significant changes in PA were negligible. To increase the efficacy of the current and future school-based interventions, authors should focus on implementation and process evaluations to better understand how schools are implementing intervention components.
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Elhakeem A, Hannam K, Deere KC, Hartley A, Clark EM, Moss C, Edwards MH, Dennison E, Gaysin T, Kuh D, Wong A, Cooper C, Cooper R, Tobias JH. Physical Activity Producing Low, but Not Medium or Higher, Vertical Impacts Is Inversely Related to BMI in Older Adults: Findings From a Multicohort Study. J Gerontol A Biol Sci Med Sci 2018; 73:643-651. [PMID: 29028919 PMCID: PMC5846734 DOI: 10.1093/gerona/glx176] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 09/16/2017] [Indexed: 01/21/2023] Open
Abstract
Background High impact physical activity (PA) is thought to improve skeletal health, but its relation to other health outcomes are unclear. We investigated associations between PA impact magnitude and body mass index (BMI) in older adults. Methods Data were taken from the Cohort for Skeletal Health in Bristol and Avon (COSHIBA), Hertfordshire Cohort Study, and MRC National Survey of Health and Development. Vertical acceleration peaks from 7-day hip-worn accelerometer recordings were used to classify PA as low (0.5 < g < 1.0g), medium (1 < g < 1.5g), or higher (≥1.5g) impact. Cohort-specific associations of low, medium, and higher impact PA with BMI were examined using linear regressions and estimates combined using random-effects meta-analysis. Results A total of 1182 participants (mean age = 72.7 years, 68% female) were included. Low, medium, and higher impact PA were inversely related to BMI in initial models. After adjustment for confounders and other impacts, low, but not medium or higher, impacts were inversely related to BMI (-0.31, p < .001: overall combined standard deviation change in BMI per doubling in the number of low impacts). In adjusted analyses of body composition measured by dual-energy X-ray absorptiometry in COSHIBA, low, but not medium or higher, impacts were inversely related to total body fat mass (-0.19, p < .001) and android:gynoid fat mass ratio (-0.16, p = .01), whereas high impact PA was weakly and positively associated with lean mass (0.05, p = .06). Conclusions Greater exposure to PA producing low magnitude vertical impacts was associated with lower BMI and fat mass at older age. Low impact PA may help reduce obesity risk in older adults.
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Affiliation(s)
- Ahmed Elhakeem
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Kimberly Hannam
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Kevin C Deere
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - April Hartley
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Emma M Clark
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Charlotte Moss
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Mark H Edwards
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Tim Gaysin
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Jon H Tobias
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
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Elmesmari R, Martin A, Reilly JJ, Paton JY. Comparison of accelerometer measured levels of physical activity and sedentary time between obese and non-obese children and adolescents: a systematic review. BMC Pediatr 2018. [PMID: 29523101 PMCID: PMC5844092 DOI: 10.1186/s12887-018-1031-0] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background Obesity has been hypothesized to be associated with reduced moderate-to-vigorous physical activity (MVPA) and increased sedentary time (ST). It is important to assess whether, and the extent to which, levels of MVPA and ST are suboptimal among children and adolescents with obesity. The primary objective of this study was to examine accelerometer-measured time spent in MVPA and ST of children and adolescents with obesity, compared with MVPA recommendations, and with non-obese peers. Methods An extensive search was carried out in Medline, Cochrane library, EMBASE, SPORTDiscus, and CINAHL, from 2000 to 2015. Study selection and appraisal: studies with accelerometer-measured MVPA and/or ST (at least 3 days and 6 h/day) in free-living obese children and adolescents (0 to 19 years) were included. Study quality was assessed formally. Meta-analyses were planned for all outcomes but were precluded due to the high levels of heterogeneity across studies. Therefore, narrative syntheses were employed for all the outcomes. Results Out of 1503 records, 26 studies were eligible (n = 14,739 participants; n = 3523 with obesity); 6/26 studies involved children aged 0 to 9 years and 18/26 involved adolescents aged 10.1 to19 years. In the participants with obesity, the time spent in MVPA was consistently below the recommended 60 min/day and ST was generally high regardless of the participant’s age and gender. Comparison with controls suggested that the time spent in MVPA was significantly lower in children and adolescents with obesity, though differences were relatively small. Levels of MVPA in the obese and non-obese were consistently below recommendations. There were no marked differences in ST between obese and non-obese peers. Conclusions MVPA in children and adolescents with obesity tends to be well below international recommendations. Substantial effort is likely to be required to achieve the recommended levels of MVPA among obese individuals in obesity treatment interventions. This systematic review has been registered on PROSPERO (International Database of Prospective Register Systematic Reviews; registration number CRD42015026882). Electronic supplementary material The online version of this article (10.1186/s12887-018-1031-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rabha Elmesmari
- School of Medicine, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, G12 8 QQ, UK.,Al-Fatah Hospital, Medical School, Benghazi University, Benghazi, Libya
| | - Anne Martin
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G12 8 QQ, UK
| | - John J Reilly
- Physical Activity for Health Group, University of Strathclyde, George Street, Glasgow, G1 1XQ, UK
| | - James Y Paton
- School of Medicine, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, G12 8 QQ, UK. .,Office Block, Ground Floor, Zone 1 (Paediatrics) Royal Hospital for Children, 1345 Govan Road, Glasgow, G51 4TF, UK.
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Isaura ER, Chen YC, Yang SH. The Association of Food Consumption Scores, Body Shape Index, and Hypertension in a Seven-Year Follow-Up among Indonesian Adults: A Longitudinal Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15010175. [PMID: 29361793 PMCID: PMC5800274 DOI: 10.3390/ijerph15010175] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 01/11/2018] [Accepted: 01/20/2018] [Indexed: 12/18/2022]
Abstract
Aims: The concept of food security and its association with chronic diseases are both well-established. During the years within the scope of the study, there was a significant increase in the body shape index (ABSI) of Indonesian adults. This study tested the hypothesis that the association between food security and chronic diseases is mediated, in part, by ABSI. Methods: Data was obtained from 2156 Indonesian adults using the Indonesia Family Life Survey (IFLS) in 2007 and 2014. Longitudinal study participants were interviewed face-to-face for dietary intake data using the food frequency questionnaire (FFQ). Food security, a concept developed by the World Food Programme (WFP), was calculated based on a food consumption score analysis using the FFQ. A generalized estimating equation (GEE) and a Sobel–Goodman test were used to test the hypothesis in this study. Results: The food consumption score was negatively associated with ABSI. It was also negatively associated with systolic blood pressure (p < 0.001). In a formal mediation analysis, ABSI significantly mediated the pathway between the food consumption score and systolic blood pressure (p < 0.001). Conclusions: The effect of food security on hypertension is mediated through body shape. Strategies to improve the prevention of hypertension among adults may need to take the ABSI and food security, along with nutrition education, into account.
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Affiliation(s)
- Emyr Reisha Isaura
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11041, Taiwan.
| | - Yang-Ching Chen
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11041, Taiwan.
- Department of Family Medicine, Taipei City Hospital, ZhongXing Branch, Taipei 10341, Taiwan.
| | - Shwu-Huey Yang
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 11041, Taiwan.
- Nutrition Research Center, Taipei Medical University Hospital, Taipei 11041, Taiwan.
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Schnurr TM, Viitasalo A, Eloranta AM, Damsgaard CT, Mahendran Y, Have CT, Väistö J, Hjorth MF, Christensen LB, Brage S, Atalay M, Lyytikäinen LP, Lindi V, Lakka T, Michaelsen KF, Kilpeläinen TO, Hansen T. Genetic predisposition to adiposity is associated with increased objectively assessed sedentary time in young children. Int J Obes (Lond) 2018; 42:111-114. [PMID: 28947836 PMCID: PMC5765967 DOI: 10.1038/ijo.2017.235] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 07/28/2017] [Accepted: 09/15/2017] [Indexed: 11/25/2022]
Abstract
Increased sedentariness has been linked to the growing prevalence of obesity in children, but some longitudinal studies suggest that sedentariness may be a consequence rather than a cause of increased adiposity. We used Mendelian randomization to examine the causal relations between body mass index (BMI) and objectively assessed sedentary time and physical activity in 3-8 year-old children from one Finnish and two Danish cohorts [NTOTAL=679]. A genetic risk score (GRS) comprised of 15 independent genetic variants associated with childhood BMI was used as the instrumental variable to test causal effects of BMI on sedentary time, total physical activity, and moderate-to-vigorous physical activity (MVPA). In fixed effects meta-analyses, the GRS was associated with 0.05 SD/allele increase in sedentary time (P=0.019), but there was no significant association with total physical activity (beta=0.011 SD/allele, P=0.58) or MVPA (beta=0.001 SD/allele, P=0.96), adjusting for age, sex, monitor wear-time and first three genome-wide principal components. In two-stage least squares regression analyses, each genetically instrumented one unit increase in BMI z-score increased sedentary time by 0.47 SD (P=0.072). Childhood BMI may have a causal influence on sedentary time but not on total physical activity or MVPA in young children. Our results provide important insights into the regulation of movement behaviour in childhood.
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Affiliation(s)
- Theresia M. Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anna Viitasalo
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Aino-Maija Eloranta
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Camilla T. Damsgaard
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Yuvaraj Mahendran
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian T. Have
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Juuso Väistö
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mads F. Hjorth
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Line B. Christensen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Soren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Mustafa Atalay
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Leo-Pekka Lyytikäinen
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Chemistry, Fimlab Laboratories and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Virpi Lindi
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Timo Lakka
- Institute of Biomedicine Physiology, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, School of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Kim F. Michaelsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Tuomas O. Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Zheng J, Baird D, Borges MC, Bowden J, Hemani G, Haycock P, Evans DM, Smith GD. Recent Developments in Mendelian Randomization Studies. CURR EPIDEMIOL REP 2017; 4:330-345. [PMID: 29226067 PMCID: PMC5711966 DOI: 10.1007/s40471-017-0128-6] [Citation(s) in RCA: 510] [Impact Index Per Article: 72.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE OF REVIEW Mendelian randomization (MR) is a strategy for evaluating causality in observational epidemiological studies. MR exploits the fact that genotypes are not generally susceptible to reverse causation and confounding, due to their fixed nature and Mendel's First and Second Laws of Inheritance. MR has the potential to provide information on causality in many situations where randomized controlled trials are not possible, but the results of MR studies must be interpreted carefully to avoid drawing erroneous conclusions. RECENT FINDINGS In this review, we outline the principles behind MR, as well as assumptions and limitations of the method. Extensions to the basic approach are discussed, including two-sample MR, bidirectional MR, two-step MR, multivariable MR, and factorial MR. We also consider some new applications and recent developments in the methodology, including its ability to inform drug development, automation of the method using tools such as MR-Base, and phenome-wide and hypothesis-free MR. SUMMARY In conjunction with the growing availability of large-scale genomic databases, higher level of automation and increased robustness of the methods, MR promises to be a valuable strategy to examine causality in complex biological/omics networks, inform drug development and prioritize intervention targets for disease prevention in the future.
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Affiliation(s)
- Jie Zheng
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
| | - Denis Baird
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
| | - Maria-Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
| | - Jack Bowden
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
| | - Philip Haycock
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
| | - David M. Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
- University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD Australia
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, UK
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Hemani G, Tilling K, Davey Smith G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet 2017; 13:e1007081. [PMID: 29149188 PMCID: PMC5711033 DOI: 10.1371/journal.pgen.1007081] [Citation(s) in RCA: 880] [Impact Index Per Article: 125.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 12/01/2017] [Accepted: 10/18/2017] [Indexed: 12/11/2022] Open
Abstract
Inference about the causal structure that induces correlations between two traits can be achieved by combining genetic associations with a mediation-based approach, as is done in the causal inference test (CIT). However, we show that measurement error in the phenotypes can lead to the CIT inferring the wrong causal direction, and that increasing sample sizes has the adverse effect of increasing confidence in the wrong answer. This problem is likely to be general to other mediation-based approaches. Here we introduce an extension to Mendelian randomisation, a method that uses genetic associations in an instrumentation framework, that enables inference of the causal direction between traits, with some advantages. First, it can be performed using only summary level data from genome-wide association studies; second, it is less susceptible to bias in the presence of measurement error or unmeasured confounding. We apply the method to infer the causal direction between DNA methylation and gene expression levels. Our results demonstrate that, in general, DNA methylation is more likely to be the causal factor, but this result is highly susceptible to bias induced by systematic differences in measurement error between the platforms, and by horizontal pleiotropy. We emphasise that, where possible, implementing MR and appropriate sensitivity analyses alongside other approaches such as CIT is important to triangulate reliable conclusions about causality. Understanding the causal relationships between pairs of traits is crucial for unravelling the causes of disease. To this end, results from genome-wide association studies are valuable because if a trait is known to be influenced by a genetic variant then this knowledge can be used to test the trait’s causal influences on other traits and diseases. Here we discuss scenarios where the nature of the genetic association with the causal trait can lead existing causal inference methods to give the wrong direction of causality. We introduce a new method that can be applied to summary level data and is potentially less susceptible to problems such as measurement error, and apply it to evaluate the causal relationships between DNA methylation levels and gene expression. While our results show that DNA methylation is more likely to be the causal factor, we point out that is it crucial to acknowledge that systematic differences in measurement error between the platforms could influence such conclusions.
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Affiliation(s)
- Gibran Hemani
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, School of Social and Community Medicine, Bristol, United Kingdom
- * E-mail:
| | - Kate Tilling
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, School of Social and Community Medicine, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, School of Social and Community Medicine, Bristol, United Kingdom
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Sanches RB, Poli VFS, Fidalgo JPN, Andrade-Silva SG, Cerrone LA, Oyama LM, Dâmaso AR, Dos Santos RT, Caranti DA. The hyperleptinemia state can downregulate cardiorespiratory fitness and energy expenditure in obese women. Physiol Behav 2017; 184:34-38. [PMID: 29097194 DOI: 10.1016/j.physbeh.2017.10.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 10/29/2017] [Accepted: 10/29/2017] [Indexed: 01/04/2023]
Abstract
INTRODUCTION In general, in obese people a state of hyperleptinemia may impair both energy balance and the inflammatory process. However, it has not been fully investigated whether there is a relationship between hyperleptinemia and cardiorespiratory fitness (CRF) and resting energy expenditure (REE), in obese women. METHODS 83 obese women were enrolled in this cross-sectional study. Anthropometric measures, body composition, REE, CRF and serum concentration of leptin were measured. Pearson's correlation coefficient was performed to examine the relationship between circulating leptin level and other clinical variables. Multiple regression analysis was applied to determine predictors of REE and CRF. Effects were considered significant at p≤0.05. RESULTS The most important finding in the present study is that the hyperleptinemia state was inversely correlated with CRF (r=-0.382, p=0.001) and REE (r=-0.447, p<0.001). Moreover, a positive correlation with fat mass was confirmed (r=0.419, p<0.001). In addition, hyperleptinemia was an independent negative predictor of REE (r2=-2.649, p=0.010) and CRF (r2=-2.335, p=0.023). CONCLUSION Together our results may suggest a vicious cycle between the state of hyperleptinemia and a decrease in energy expenditure and cardiorespiratory fitness in obese women, which can impair whole body energy homeostasis. This information is important to contribute to clinical practices.
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Affiliation(s)
- Ricardo Badan Sanches
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil.
| | - Vanessa Fadanelli Schoenardie Poli
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - João Pedro Novo Fidalgo
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - Stephan Garcia Andrade-Silva
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - Leticia Andrade Cerrone
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - Lila Missae Oyama
- Department of Physiology, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - Ana Raimunda Dâmaso
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil; Department of Biosciences, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - Ronaldo Thomatieli Dos Santos
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Department of Biosciences, Universidade Federal de São Paulo/UNIFESP, Brazil
| | - Danielle Arisa Caranti
- Post Graduate Program of Interdisciplinary Health Sciences, Universidade Federal de São Paulo/UNIFESP, Brazil; Obesity Study Group, Universidade Federal de São Paulo/UNIFESP, Brazil; Department of Biosciences, Universidade Federal de São Paulo/UNIFESP, Brazil
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Yeung EW, Craggs JG, Gizer IR. Comorbidity of Alcohol Use Disorder and Chronic Pain: Genetic Influences on Brain Reward and Stress Systems. Alcohol Clin Exp Res 2017; 41:1831-1848. [PMID: 29048744 DOI: 10.1111/acer.13491] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/25/2017] [Indexed: 01/10/2023]
Abstract
Alcohol use disorder (AUD) is highly comorbid with chronic pain (CP). Evidence has suggested that neuroadaptive processes characterized by reward deficit and stress surfeit are involved in the development of AUD and pain chronification. Neurological data suggest that shared genetic architecture associated with the reward and stress systems may contribute to the comorbidity of AUD and CP. This monograph first delineates the prevailing theories of the development of AUD and pain chronification focusing on the reward and stress systems. It then provides a brief summary of relevant neurological findings followed by an evaluation of evidence documented by molecular genetic studies. Candidate gene association studies have provided some initial support for the genetic overlap between AUD and CP; however, these results must be interpreted with caution until studies with sufficient statistical power are conducted and replications obtained. Genomewide association studies have suggested a number of genes (e.g., TBX19, HTR7, and ADRA1A) that are either directly or indirectly related to the reward and stress systems in the AUD and CP literature. Evidence reviewed in this monograph suggests that shared genetic liability underlying the comorbidity between AUD and CP, if present, is likely to be complex. As the advancement in molecular genetic methods continues, future studies may show broader central nervous system involvement in AUD-CP comorbidity.
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Affiliation(s)
- Ellen W Yeung
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri.,Institute for Interdisciplinary Salivary Bioscience Research, University of California at Irvine, Irvine, California
| | - Jason G Craggs
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri.,School of Health Professions, University of Missouri, Columbia, Missouri
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri
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80
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Tarp J, Bugge A, Andersen LB, Sardinha LB, Ekelund U, Brage S, Møller NC. Does adiposity mediate the relationship between physical activity and biological risk factors in youth?: a cross-sectional study from the International Children's Accelerometry Database (ICAD). Int J Obes (Lond) 2017; 42:ijo2017241. [PMID: 29087387 PMCID: PMC6952275 DOI: 10.1038/ijo.2017.241] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 08/14/2017] [Accepted: 09/05/2017] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES To model the association between accumulating 60 daily minutes of moderate-to-vigorous physical activity and a composite score of biological risk factors into a direct and an indirect effect, using abdominal obesity as the mediator. SUBJECTS/METHODS Cross-sectional data from the International Children's Accelerometry Database (ICAD) including 6-18-year-old children and adolescents (N=3412) from 4 countries providing at least 3 days of accelerometry-assessed physical activity. A standardized composite risk score was calculated from systolic blood pressure and fasting blood samples of insulin, glucose, triacylglycerol and inverse HDL-cholesterol. Abdominal obesity was assessed by the waist-circumference:height ratio. Two-stage regression analysis, allowing for exposure-mediator interaction, was used for the effect decomposition. RESULTS Participants achieving 60 daily minutes of moderate-to-vigorous physical activity had a 0.31 (95% CI: -0.39, -0.23) standard deviations lower composite risk score than those achieving less than 60 min. Modelling the associations suggested that 0.24 standard deviations (95% CI: -0.32, -0.16) was attributed to the direct effect and -0.07 (95% CI: -0.11, -0.02) to the indirect effect indicating that 22% of the total effect was mediated by central adiposity. Modelling 30 and 90 min of moderate-to-vigorous physical activity per day resulted in changes in the direct but not the indirect effect. CONCLUSIONS One hour of daily moderate-to-vigorous physical activity was associated with clinically relevant differences in metabolic control compared to engagement in less than this minimally recommended amount. The majority of the difference was explained by the direct effect of physical activity.International Journal of Obesity advance online publication, 31 October 2017; doi:10.1038/ijo.2017.241.
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Affiliation(s)
- Jakob Tarp
- Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anna Bugge
- Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Lars Bo Andersen
- Department of Teacher Education and Sport, Western Norway University of Applied Sciences, Sogndal, Norway
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Luis B. Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Soren Brage
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Niels Christian Møller
- Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
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81
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Wang T, Huang T, Heianza Y, Sun D, Zheng Y, Ma W, Jensen MK, Kang JH, Wiggs JL, Pasquale LR, Rimm EB, Manson JE, Hu FB, Willett WC, Qi L. Genetic Susceptibility, Change in Physical Activity, and Long-term Weight Gain. Diabetes 2017; 66:2704-2712. [PMID: 28701334 PMCID: PMC5606317 DOI: 10.2337/db17-0071] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Accepted: 07/01/2017] [Indexed: 01/20/2023]
Abstract
Whether change in physical activity over time modifies the genetic susceptibility to long-term weight gain is unknown. We calculated a BMI-genetic risk score (GRS) based on 77 BMI-associated single nucleotide polymorphisms (SNPs) and a body fat percentage (BF%)-GRS based on 12 BF%-associated SNPs in 9,390 women from the Nurses' Health Study (NHS) and 5,291 men from the Health Professionals Follow-Up Study (HPFS). We analyzed the interactions between each GRS and change in physical activity on BMI/body weight change within five 4-year intervals from 1986 to 2006 using multivariable generalized linear models with repeated-measures analyses. Both the BMI-GRS and the BF%-GRS were associated with long-term increases in BMI/weight, and change in physical activity consistently interacted with the BF%-GRS on BMI change in the NHS (P for interaction = 0.025) and HPFS (P for interaction = 0.001). In the combined cohorts, 4-year BMI change per 10-risk allele increment was -0.02 kg/m2 among participants with greatest increase in physical activity and 0.24 kg/m2 among those with greatest decrease in physical activity (P for interaction < 0.001), corresponding to 0.01 kg versus 0.63 kg weight changes every 4 years (P for interaction = 0.001). Similar but marginal interactions were observed for the BMI-GRS (P for interaction = 0.045). Our data indicate that the genetic susceptibility to weight gain may be diminished by increasing physical activity.
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Affiliation(s)
- Tiange Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Shanghai Institute of Endocrine and Metabolic Disease, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Huang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Epidemiology Domain, Saw Swee Hock School of Public Health and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Yan Zheng
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Wenjie Ma
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Majken K Jensen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA
| | - Louis R Pasquale
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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82
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Reed ZE, Micali N, Bulik CM, Davey Smith G, Wade KH. Assessing the causal role of adiposity on disordered eating in childhood, adolescence, and adulthood: a Mendelian randomization analysis. Am J Clin Nutr 2017; 106:764-772. [PMID: 28747331 PMCID: PMC5573023 DOI: 10.3945/ajcn.117.154104] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 06/22/2017] [Indexed: 11/14/2022] Open
Abstract
Background: Observational studies have shown that higher body mass index (BMI) is associated with increased risk of developing disordered eating patterns. However, the causal direction of this relation remains ambiguous.Objective: We used Mendelian randomization (MR) to infer the direction of causality between BMI and disordered eating in childhood, adolescence, and adulthood.Design: MR analyses were conducted with a genetic score as an instrumental variable for BMI to assess the causal effect of BMI at age 7 y on disordered eating patterns at age 13 y with the use of data from the Avon Longitudinal Study of Parents and Children (ALSPAC) (n = 4473). To examine causality in the reverse direction, MR analyses were used to estimate the effect of the same disordered eating patterns at age 13 y on BMI at age 17 y via a split-sample approach in the ALSPAC. We also investigated the causal direction of the association between BMI and eating disorders (EDs) in adults via a two-sample MR approach and publically available genome-wide association study data.Results: MR results indicated that higher BMI at age 7 y likely causes higher levels of binge eating and overeating, weight and shape concerns, and weight-control behavior patterns in both males and females and food restriction in males at age 13 y. Furthermore, results suggested that higher levels of binge eating and overeating in males at age 13 y likely cause higher BMI at age 17 y. We showed no evidence of causality between BMI and EDs in adulthood in either direction.Conclusions: This study provides evidence to suggest a causal effect of higher BMI in childhood and increased risk of disordered eating at age 13 y. Furthermore, higher levels of binge eating and overeating may cause higher BMI in later life. These results encourage an exploration of the ways to break the causal chain between these complex phenotypes, which could inform and prevent disordered eating problems in adolescence.
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Affiliation(s)
- Zoe E Reed
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Nadia Micali
- University College London Institute for Child Health, London, United Kingdom;,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY
| | - Cynthia M Bulik
- Departments of Psychiatry and,Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC; and,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Kaitlin H Wade
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom;
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83
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Sander HA, Ghosh D, Hodson CB. Varying age-gender associations between body mass index and urban greenspace. URBAN FORESTRY & URBAN GREENING 2017; 26:1-10. [PMID: 29225562 PMCID: PMC5716478 DOI: 10.1016/j.ufug.2017.05.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Urban greenspace benefits urbanites in numerous ways ranging from regulating flooding, air quality, and local climate to providing opportunities for exercise and relaxation. These benefits may influence human health. Greenspace, for example, may facilitate exercise, thereby helping to reduce body mass index (BMI) and combat obesity, a current epidemic of great public health concern. Little evidence exists to support this assertion, however, and we lack a full understanding of the mechanisms whereby this relationship operates, the populations for whom greenspace is linked to weight status, and the aspects of urban greenspace that are linked to weight status. This study seeks to identify relationships among the composition and arrangement of greenspace and BMI for different populations using regression models for eight age and gender groups in Cleveland, Ohio, US. We find that several greenspace variables are related to BMI for women under 65 years and males under 51 years, but not for older groups, and that the aspects and types of greenspace that are significantly related to BMI vary among groups. Relationships between greenspace attributes and BMI are generally stronger for female groups and for younger groups. Providing access to greenspace with particular attributes such as greenspaces with water, canopy cover, or connected greenspaces could support a healthy weight status for some populations, but these attributes are not consistent across age and gender groups. These results could help to inform policy aimed at designing urban greenspace to benefit the health of different population subgroups.
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Affiliation(s)
- Heather A Sander
- Department of Geographical and Sustainability Sciences, 316 Jessup Hall, University of Iowa, Iowa City, IA 52246 USA
| | - Debarchana Ghosh
- Department of Geography, 215 Glenbrook Road, U-4148, University of Connecticut, Storrs, CT 06269 USA
| | - Cody B Hodson
- Department of Geographical and Sustainability Sciences, 316 Jessup Hall, University of Iowa, Iowa City, IA 52246 USA
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84
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Bell JA, Sabia S, Singh-Manoux A, Hamer M, Kivimäki M. Healthy obesity and risk of accelerated functional decline and disability. Int J Obes (Lond) 2017; 41:866-872. [PMID: 28220042 PMCID: PMC5467240 DOI: 10.1038/ijo.2017.51] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 01/13/2017] [Accepted: 02/10/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND/OBJECTIVES Some obese adults have a normal metabolic profile and are considered 'healthy', but whether they experience faster ageing than healthy normal-weight adults is unknown. We compared decline in physical function, worsening of bodily pain and likelihood of future mobility limitation and disability between these groups. SUBJECTS/METHODS This was a population-based observational study using repeated measures over 2 decades (Whitehall II cohort data). Normal-weight (body mass index (BMI) 18.5-24.9 kg m-2), overweight (25.0-29.9 kg m-2) and obese (⩾30.0 kg m-2) adults were considered metabolically healthy if they had 0 or 1 of 5 risk factors (hypertension, low high-density lipoprotein cholesterol, high triacylglycerol, high blood glucose and insulin resistance) in 1991/1994. Decline in physical function and worsening of bodily pain based on change in Short Form Health Survey items using eight repeated measures over 18.8 years (1991/1994-2012/2013) were compared between metabolic-BMI groups using linear mixed models. Odds of mobility limitation based on objective walking speed (slowest tertile) and of disability based on limitations in ⩾1 of 6 basic activities of daily living, each using three repeated measures over 8.3 years (2002/2004-2012/2013), were compared using logistic mixed models. RESULTS In multivariable-adjusted mixed models on up to 6635 adults (initial mean age 50 years; 70% male), healthy normal-weight adults experienced a decline in physical function of -3.68 (95% CI=-4.19, -3.16) score units per decade; healthy obese adults showed an additional -3.48 (-4.88, -2.08) units decline. Healthy normal-weight adults experienced a -0.49 (-1.11, 0.12) score unit worsening of bodily pain per decade; healthy obese adults had an additional -2.23 (-3.78, -0.69) units worsening. Healthy obesity versus healthy normal-weight conferred 3.39 (2.29, 5.02) times higher odds of mobility limitation and 3.75 (1.94, 7.24) times higher odds of disability. CONCLUSIONS Our results suggest that obesity, even if metabolically healthy, accelerates age-related declines in functional ability and poses a threat to independence in older age.
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Affiliation(s)
- J A Bell
- Department of Epidemiology and Public Health, University College London, London, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - S Sabia
- Department of Epidemiology and Public Health, University College London, London, UK
- INSERM, Centre for Research in Epidemiology and Population Health, Villejuif, France
| | - A Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, UK
- INSERM, Centre for Research in Epidemiology and Population Health, Villejuif, France
| | - M Hamer
- National Centre for Sport & Exercise Medicine, Loughborough University, Leicestershire, UK
| | - M Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
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85
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Noyce AJ, Kia DA, Hemani G, Nicolas A, Price TR, De Pablo-Fernandez E, Haycock PC, Lewis PA, Foltynie T, Davey Smith G, Schrag A, Lees AJ, Hardy J, Singleton A, Nalls MA, Pearce N, Lawlor DA, Wood NW. Estimating the causal influence of body mass index on risk of Parkinson disease: A Mendelian randomisation study. PLoS Med 2017; 14:e1002314. [PMID: 28609445 PMCID: PMC5469450 DOI: 10.1371/journal.pmed.1002314] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Accepted: 05/04/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Both positive and negative associations between higher body mass index (BMI) and Parkinson disease (PD) have been reported in observational studies, but it has been difficult to establish causality because of the possibility of residual confounding or reverse causation. To our knowledge, Mendelian randomisation (MR)-the use of genetic instrumental variables (IVs) to explore causal effects-has not previously been used to test the effect of BMI on PD. METHODS AND FINDINGS Two-sample MR was undertaken using genome-wide association (GWA) study data. The associations between the genetic instruments and BMI were obtained from the GIANT consortium and consisted of the per-allele difference in mean BMI for 77 independent variants that reached genome-wide significance. The per-allele difference in log-odds of PD for each of these variants was estimated from a recent meta-analysis, which included 13,708 cases of PD and 95,282 controls. The inverse-variance weighted method was used to estimate a pooled odds ratio (OR) for the effect of a 5-kg/m2 higher BMI on PD. Evidence of directional pleiotropy averaged across all variants was sought using MR-Egger regression. Frailty simulations were used to assess whether causal associations were affected by mortality selection. A combined genetic IV expected to confer a lifetime exposure of 5-kg/m2 higher BMI was associated with a lower risk of PD (OR 0.82, 95% CI 0.69-0.98). MR-Egger regression gave similar results, suggesting that directional pleiotropy was unlikely to be biasing the result (intercept 0.002; p = 0.654). However, the apparent protective influence of higher BMI could be at least partially induced by survival bias in the PD GWA study, as demonstrated by frailty simulations. Other important limitations of this application of MR include the inability to analyse non-linear associations, to undertake subgroup analyses, and to gain mechanistic insights. CONCLUSIONS In this large study using two-sample MR, we found that variants known to influence BMI had effects on PD in a manner consistent with higher BMI leading to lower risk of PD. The mechanism underlying this apparent protective effect warrants further study.
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Affiliation(s)
- Alastair J. Noyce
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
- Centre for Neuroscience and Trauma, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Demis A. Kia
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Aude Nicolas
- Laboratory for Neurogenetics, National Institute on Aging National Institutes of Health, Bethesda, Maryland, United States of America
| | - T. Ryan Price
- Laboratory for Neurogenetics, National Institute on Aging National Institutes of Health, Bethesda, Maryland, United States of America
| | - Eduardo De Pablo-Fernandez
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Philip C. Haycock
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Patrick A. Lewis
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
- School of Pharmacy, University of Reading, Reading, United Kingdom
| | - Thomas Foltynie
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, University College London, London, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | | | - Anette Schrag
- Department of Clinical Neurosciences, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Andrew J. Lees
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
| | - John Hardy
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
| | - Andrew Singleton
- Laboratory for Neurogenetics, National Institute on Aging National Institutes of Health, Bethesda, Maryland, United States of America
| | - Mike A. Nalls
- Laboratory for Neurogenetics, National Institute on Aging National Institutes of Health, Bethesda, Maryland, United States of America
- Data Tecnica International, Glen Echo, Maryland, United States of America
| | - Neil Pearce
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Debbie A. Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Nicholas W. Wood
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, London, United Kingdom
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86
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Schnurr TM, Bech B, Nielsen TRH, Andersen IG, Hjorth MF, Aadahl M, Fonvig CE, Hansen T, Holm JC. Self-Reported Versus Accelerometer-Assessed Daily Physical Activity in Childhood Obesity Treatment. Percept Mot Skills 2017; 124:795-811. [PMID: 28560892 DOI: 10.1177/0031512517710880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We investigated the relationship between interview-based subjective ratings of physical activity (PA) engagement and accelerometer-assessed objectively measured PA in children and adolescents with overweight or obesity. A total of 92 children and adolescents (40 males, 52 females) with BMI ≥ 90th percentile for sex and age, aged 5-17 years had valid GT3X + accelerometer-assessed PA and interview-assessed self-reported information on PA engagement at the time of enrollment in a multidisciplinary outpatient tertiary treatment for childhood obesity. Accelerometer-derived mean overall PA and time spent in moderate to vigorous physical intensity were generated, applying cut-offs based on Vector Magnitude settings as defined by Romanzini et al. (2014), and a physical activity score (PAS) based on self-reported data. Overall, a higher self-reported PAS was correlated with higher accelerometer-assessed daily total PA levels ( r = 0.34, p < .01) and children who reported a high PAS were more physically active compared with children who reported a low PAS. There was a fair level of agreement between self-reported PAS and accelerometer-assessed PA (Kappa agreement = 0.23; 95% CI = [0.03, 0.43]; p = .01). PAS, derived from self-report, may be a useful instrument for evaluating PA at a group level among children and adolescents enrolled in multidisciplinary obesity treatment.
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Affiliation(s)
- Theresia M Schnurr
- 1 Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
| | - Bianca Bech
- 1 Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
| | - Tenna R H Nielsen
- 1 Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark.,2 Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Denmark
| | - Ida G Andersen
- 2 Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Denmark.,3 Department of Otorhinolaryngology and Maxillofacial Surgery, Zealand University Hospital, Køge, Denmark
| | - Mads F Hjorth
- 4 Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark
| | - Mette Aadahl
- 5 Research Centre for Prevention and Health, Copenhagen University Hospital Glostrup, Denmark.,6 Faculty of Health and Medical Science, Department of Public Health, University of Copenhagen, Denmark
| | - Cilius E Fonvig
- 1 Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark.,2 Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Denmark
| | - Torben Hansen
- 1 Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
| | - Jens-Christian Holm
- 1 Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark.,2 Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Denmark
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87
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Gupta V, Walia GK, Sachdeva MP. 'Mendelian randomization': an approach for exploring causal relations in epidemiology. Public Health 2017; 145:113-119. [PMID: 28359378 DOI: 10.1016/j.puhe.2016.12.033] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 12/01/2016] [Accepted: 12/20/2016] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To assess the current status of Mendelian randomization (MR) approach in effectively influencing the observational epidemiology for examining causal relationships. METHODS Narrative review on studies related to principle, strengths, limitations, and achievements of MR approach. RESULTS Observational epidemiological studies have repeatedly produced several beneficiary associations which were discarded when tested by standard randomized controlled trials (RCTs). The technique which is more feasible, highly similar to RCTs, and has the potential to establish a causal relationship between modifiable exposures and disease outcomes is known as MR. The technique uses genetic variants related to modifiable traits/exposures as instruments for detecting causal and directional associations with outcomes. CONCLUSIONS In the last decade, the approach of MR has methodologically developed and progressed to a stage of high acceptance among the epidemiologists and is gradually expanding the landscape of causal relationships in non-communicable chronic diseases.
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Affiliation(s)
- V Gupta
- Department of Anthropology, University of Delhi, Delhi 110007, India
| | - G K Walia
- Public Health Foundation of India, Gurgaon 122002, India
| | - M P Sachdeva
- Department of Anthropology, University of Delhi, Delhi 110007, India
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Lebacq T, Ost C, Bel S, Brocatus L, Teppers E, Cuypers K, Tafforeau J, De Ridder KAA. Physical activity and sedentary behavior in Belgium (BNFCS2014): design, methods and expected outcomes. ACTA ACUST UNITED AC 2016; 74:44. [PMID: 27777766 PMCID: PMC5066291 DOI: 10.1186/s13690-016-0156-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 10/05/2016] [Indexed: 11/14/2022]
Abstract
Background There is strong evidence to indicate that regular moderate intensity physical activity is associated with health benefits. Furthermore, sedentary behavior has been related with an increased risk for all-cause mortality. The accurate measurement of physical activity and sedentary behavior is therefore vital to evaluate their health impact and provide evidence for the development of public health recommendations. This paper describes the methodology used for assessing physical activity and sedentary behavior in the Belgian population in the context of the Belgian National Food Consumption Survey 2014 (BNFCS2014). Results Data about physical activity and sedentary behavior were collected as part of the cross-sectional BNFCS2014 between February 2014 and May 2015. A nationally-representative sample of children (3–9 years) and adolescents (10–17 years) were asked to wear an accelerometer (Actigraph® GT3X) during their waking hours for 7 consecutive days. Data were recorded in 15-second epochs and respondents with at least 2 valid week days (i.e., 10 h of wear-time) and 1 valid week-end day (i.e., 8 h of wear-time) were retained for the analyses. The Evenson cut points were used to assess the time spent in each physical activity intensity level: sedentary, low, moderate and vigorous. Complementary, diaries were provided to register the activities performed when the accelerometer was removed; these activities were added to the measures provided by the accelerometers. In addition, age-specific self-reported questionnaires (ToyBox and FPAQ) were completed to provide contextual information about the type of activities performed. Due to financial constraints, physical activity in adults (18–64 years) was assessed and described through the self-reported International Physical Activity Questionnaire (IPAQ long version) only. Conclusion Data were collected in the context of the BNFCS2014 to provide a comprehensive picture of the physical activity and sedentary behavior in the Belgian population, with a special focus on children (3–9 years) and adolescents (10–17 years). Levels of physical activity and sedentary behavior can be compared to international guidelines and analyzed according to several background variables, such as age, gender, Body Mass Index, education level and region. Such results are aimed to underpin future policies in the field of physical activity.
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Affiliation(s)
- Thérésa Lebacq
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Cloë Ost
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Sarah Bel
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Loes Brocatus
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Eveline Teppers
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Koenraad Cuypers
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Jean Tafforeau
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
| | - Karin A A De Ridder
- Scientific Institute of Public Health, Department of Public Health and Surveillance, Unit Surveys, Lifestyle and Chronic Diseases, Brussels, Belgium
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89
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Corbin LJ, Richmond RC, Wade KH, Burgess S, Bowden J, Smith GD, Timpson NJ. BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization. Diabetes 2016; 65:3002-7. [PMID: 27402723 PMCID: PMC5279886 DOI: 10.2337/db16-0418] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 07/05/2016] [Indexed: 12/20/2022]
Abstract
This study focused on resolving the relationship between BMI and type 2 diabetes. The availability of multiple variants associated with BMI offers a new chance to resolve the true causal effect of BMI on type 2 diabetes; however, the properties of these associations and their validity as genetic instruments need to be considered alongside established and new methods for undertaking Mendelian randomization (MR). We explore the potential for pleiotropic genetic variants to generate bias, revise existing estimates, and illustrate value in new analysis methods. A two-sample MR approach with 96 genetic variants was used with three different analysis methods, two of which (MR-Egger and the weighted median) have been developed specifically to address problems of invalid instrumental variables. We estimate an odds ratio for type 2 diabetes per unit increase in BMI (kg/m(2)) of between 1.19 and 1.38, with the most stable estimate using all instruments and a weighted median approach (1.26 [95% CI 1.17, 1.34]). TCF7L2(rs7903146) was identified as a complex effect or pleiotropic instrument, and removal of this variant resulted in convergence of causal effect estimates from different causal analysis methods. This indicated the potential for pleiotropy to affect estimates and differences in performance of alternative analytical methods. In a real type 2 diabetes-focused example, this study demonstrates the potential impact of invalid instruments on causal effect estimates and the potential for new approaches to mitigate the bias caused.
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Affiliation(s)
- Laura J Corbin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
| | | | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
| | - Stephen Burgess
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, U.K. Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Jack Bowden
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, U.K. MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, U.K
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90
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Abstract
Obesity is a top public health priority but interventions to reverse the condition have had limited success. About one-in-three obese adults are free of metabolic risk factor clustering and are considered 'healthy', and much attention has focused on the implications of this state for obesity management. Areas covered: We searched for individual studies, systematic reviews, and meta-analyses which examined correlates and outcomes of metabolically healthy obesity. We discuss the key roles of fat distribution and physical activity in determining healthy vs. unhealthy obesity and report a greatly increased risk of incident type 2 diabetes associated with healthy obesity vs. healthy normal weight, among other outcomes. We argue that despite inconsistencies in the definition, patterns across studies clearly show that healthy obesity is a state of intermediate disease risk. Expert commentary: Given the current state of population-level evidence, we conclude that obesity and metabolic dysfunction are inseparable and that healthy obesity is best viewed only as a state of relative health but not of absolute health. We recommend that weight loss through energy restriction be a stand-alone target in addition to increased physical activity for minimising risk of future disease.
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Affiliation(s)
- J A Bell
- a Department of Epidemiology & Public Health , University College London , London , UK
- b School of Sport, Exercise & Health Sciences, Loughborough University , Loughborough , UK
| | - M Hamer
- b School of Sport, Exercise & Health Sciences, Loughborough University , Loughborough , UK
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91
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Corbin LJ, Timpson NJ. Body mass index: Has epidemiology started to break down causal contributions to health and disease? Obesity (Silver Spring) 2016; 24:1630-8. [PMID: 27460712 PMCID: PMC5972005 DOI: 10.1002/oby.21554] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 04/04/2016] [Accepted: 04/05/2016] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To review progress in understanding the methods and results concerning the causal contribution of body mass index (BMI) to health and disease. METHODS In the context of conventional evidence focused on the relationship between BMI and health, this review considers current literature on the common, population-based, genetic contribution to BMI and how this has fed into the developing field of applied epidemiology. RESULTS Technological and analytical developments have driven considerable success in identifying genetic variants relevant to BMI. This has enabled the implementation of Mendelian randomization to address questions of causality. The product of this work has been the implication of BMI as a causal agent in a host of health outcomes. Further breakdown of causal pathways by integration with other "omics" technologies promises to deliver additional benefit. CONCLUSIONS Gaps remain in our understanding of BMI as a risk factor for health and disease, and while promising, applied genetic epidemiology should be considered alongside alternative methods for assessing the impact of BMI on health. Potential limitations, relating to inappropriate or nonspecific measures of obesity and the improper use of genetic instruments, will need to be explored and incorporated into future research aiming to dissect BMI as a risk factor.
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Affiliation(s)
| | - Nicholas J. Timpson
- corresponding author: CONTACT INFO: MRC Integrative Epidemiology Unit, Oakfield House, Oakfield Grove, Bristol, BS8 2BN. .
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92
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Barning F, Abarin T. Assessing the Causality Factors in the Association between (Abdominal) Obesity and Physical Activity among the Newfoundland Population-A Mendelian Randomization Analysis. GENETICS & EPIGENETICS 2016; 8:15-24. [PMID: 27478388 PMCID: PMC4959453 DOI: 10.4137/geg.s38289] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 03/28/2016] [Accepted: 03/30/2016] [Indexed: 01/22/2023]
Abstract
A total of 1,263 adults from Newfoundland and Labrador were studied in the research. Body mass index (BMI) and percent trunk fat (PTF) were analyzed as biomarkers for obesity. The Mendelian randomization (MR) approach with two single-nucleotide polymorphisms in the fat-mass and obesity (FTO) gene as instruments was employed to assess the causal effect. In both genders, increasing physical activity significantly reduced BMI and PTF when adjusted for age and the FTO gene. The effect of physical activity was stronger on PTF than BMI. Direct observational analyses showed significant increase in BMI/PTF when physical activity decreased. A similar association in MR analyses was not significant. The association between physical activity and BMI/PTF could be due to reversed causality or common confounding factors. Our study provides insights into the causal contributions of obesity to physical activity in adults. Health intervention strategies to increase physical activity among adults should include some other plans such as improving diet for reducing obesity.
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Affiliation(s)
- Frank Barning
- Department of Mathematics and Statistics, Memorial University of Newfoundland, Canada
| | - Taraneh Abarin
- Department of Mathematics and Statistics, Memorial University of Newfoundland, Canada
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93
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Rasmussen MG, Grøntved A, Blond K, Overvad K, Tjønneland A, Jensen MK, Østergaard L. Associations between Recreational and Commuter Cycling, Changes in Cycling, and Type 2 Diabetes Risk: A Cohort Study of Danish Men and Women. PLoS Med 2016; 13:e1002076. [PMID: 27403867 PMCID: PMC4942105 DOI: 10.1371/journal.pmed.1002076] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 06/03/2016] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Cycling is a recreational activity and mode of commuting with substantial potential to improve public health in many countries around the world. The aim of this study was to examine prospective associations between recreational and commuter cycling, changes in cycling habits, and risk of type 2 diabetes (T2D) in Danish adults from the Diet, Cancer and Health cohort study. METHODS AND FINDINGS At baseline from 1993 to 1997, 24,623 men and 27,890 women from Denmark, 50-65 y of age and free of T2D and other chronic diseases, underwent a number of assessments, including completing a lifestyle questionnaire also addressing cycling habits. Approximately 5 y later, at a second examination, participants completed a new, updated lifestyle questionnaire. Cox regression was used to estimate hazard ratios (HRs) of incident T2D registered in the Danish National Diabetes Registry, according to recreational and commuter cycling and changes in cycling habits, with adjustment for a priori known T2D risk factors. During 743,245.4 person-years of follow-up (mean follow-up 14.2 y), 6,779 incident cases of T2D were documented. Multivariable adjusted HRs (95% confidence interval [CI]) were 1, 0.87 (0.82, 0.93), 0.83 (0.77, 0.89), 0.80 (0.74, 0.86) and 0.80 (0.74, 0.87) (p for trend = <0.001) for 0, 1-60, 61-150, 151-300, and >300 min/wk of total cycling (recreational and commuter cycling), respectively. In analysis of seasonal cycling, multivariable adjusted HRs (95% CI) were 1, 0.88 (0.83, 0.94), and 0.80 (0.76, 0.85) for non-cyclists, seasonal cyclists (those cycling only in summer or winter), and those cycling during both summer and winter, respectively. How changes in total cycling from baseline to the second examination affected risk was also investigated, and multivariable adjusted HRs (95% CI) were 1, 0.88 (0.78, 1.01), 0.80 (0.69, 0.91), and 0.71 (0.65, 0.77) for non-cyclists and for those who ceased, initiated, or continued cycling between baseline and the second examination, respectively. Lastly, in the analysis of commuter cycling, multivariable HRs (95% CI) were 1, 0.72 (0.60, 0.87), 0.83 (0.69, 1.00), and 0.70 (0.57, 0.85) (p for trend = <0.001) for cycling 0, 1-60, 61-150, and >150 min/wk to work, respectively. The main limitation of the current study is the use of self-reported physical activity. CONCLUSIONS Commuter and recreational cycling was consistently associated with lower risk of T2D in Danish adults. Our results also provide evidence that late-in-life initiation of or continued engagement in cycling lowers risk of T2D.
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Affiliation(s)
- Martin G. Rasmussen
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anders Grøntved
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Kim Blond
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Kim Overvad
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | | | - Majken K. Jensen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Medicine, Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Lars Østergaard
- Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
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94
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Hildebrand M, Øglund GP, Wells JC, Ekelund U. Prenatal, birth and early life predictors of sedentary behavior in young people: a systematic review. Int J Behav Nutr Phys Act 2016; 13:63. [PMID: 27268003 PMCID: PMC4897914 DOI: 10.1186/s12966-016-0389-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 06/01/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Our aim was to systematically summarize the evidence on whether prenatal, birth and early life factors up to 6 years of age predict sedentary behavior in young people (≤18 years). METHODS PRISMA guidelines were followed, and searches were conducted in PubMed, SPORTDiscus, EMBASE and Web of Science up to December 1, 2015. We included observational (non-intervention) and longitudinal studies, that reported data on the association between one or more of the potential predictors and objectively or subjectively measured sedentary behavior. Study quality was assessed using a formal checklist and data extraction was performed using standardized forms independently by two researchers. RESULTS More than 18,000 articles were screened, and 16 studies, examining 10 different predictors, were included. Study quality was variable (0.36-0.95). Two studies suggest that heritability and BMI in children aged 2-6 years were significant predictors of sedentary behavior later in life, while four and seven studies suggest no evidence for an association between gestational age, birth weight and sedentary behavior respectively. There was insufficient evidence whether other prenatal, birth and early life factors act as predictors of later sedentary behavior in young people. CONCLUSION The results suggest that heritability and early childhood BMI may predict sedentary behavior in young people. However, small number of studies included and methodological limitations, including subjective and poorly validated sedentary behavior assessment, limits the conclusions. TRIAL REGISTRATION The systematic review is registered in the International Prospective Register of Systematic Reviews, PROSPERO, 17.10.2014 ( CRD42014014156 ).
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Affiliation(s)
- Maria Hildebrand
- The Department of Sports Medicine, Norwegian School of Sport Sciences, P.O Box 4014, Ullevål Stadion, 0806, Oslo, Norway.
| | - Guro P Øglund
- The Department of Sports Medicine, Norwegian School of Sport Sciences, P.O Box 4014, Ullevål Stadion, 0806, Oslo, Norway
| | - Jonathan C Wells
- Childhood Nutrition Research Centre, UCL Institute of Child Health, London, UK
| | - Ulf Ekelund
- The Department of Sports Medicine, Norwegian School of Sport Sciences, P.O Box 4014, Ullevål Stadion, 0806, Oslo, Norway.,Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
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95
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Griffiths LJ, Sera F, Cortina-Borja M, Law C, Ness A, Dezateux C. Objectively measured physical activity and sedentary time: cross-sectional and prospective associations with adiposity in the Millennium Cohort Study. BMJ Open 2016; 6:e010366. [PMID: 27067891 PMCID: PMC4838720 DOI: 10.1136/bmjopen-2015-010366] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To examine whether physical activity (PA) and sedentary time (ST) in primary school-aged children are associated with adiposity at the start of secondary school, and whether these associations differ by sex or ethnic group. DESIGN Nationally representative prospective cohort study. SETTING Children born across the UK, between 2000 and 2002. PARTICIPANTS 6497 singleton children. OUTCOME MEASURES Measures of adiposity (body mass index (BMI), fat mass index (FMI) and fat free mass index (FFMI))--obtained at 7 and 11 years. EXPLANATORY MEASURES Total daily PA (mean counts per minute (cpm)); minutes of moderate-to-vigorous PA (MVPA); and ST. All assessed at 7 years using accelerometers. RESULTS In cross-sectional analyses, total PA was inversely associated with FMI (3.7% (95% CI 2.7% to 4.7%) reduction per 150 cpm increase), as was MVPA (4.2% (CI 3.2% to 5.2%) reduction per 20 min/day increase). Associations were stronger in black and South Asian ethnic groups. Total PA and MVPA were not associated with FFMI. ST was positively associated with FMI (1.3% (CI 0.2% to 2.3%) increase per 50 min/day increase) and inversely associated with FFMI (0.5% (CI 0.2% to 0.7%) reduction per 50 min/day increase). Longitudinally, MVPA at age 7 years remained inversely associated with FMI at age 11 years (1.5% (CI 0.4% to 2.6%) reduction per 20 min/day increase). No association was found between total PA and ST and any of the later adiposity measures. CONCLUSIONS 7-year-old children who are more physically active are less likely to be obese at that age and at age 11 years. These associations were particularly evident in children from black or South Asian ethnicity at age 7 years and in boys at age 11 years. Measurements of fat mass provide valuable insights into ethnic differences in associations between adiposity and activity.
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Affiliation(s)
- Lucy J Griffiths
- Life Course Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
| | - Francesco Sera
- Life Course Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Clinical Epidemiology, Nutrition and Biostatistics, UCL Institute of Child Health, London, UK
| | - Catherine Law
- Life Course Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
| | - Andrew Ness
- Department of Oral and Dental Science, University of Bristol, Bristol, UK
| | - Carol Dezateux
- Life Course Epidemiology and Biostatistics, UCL Institute of Child Health, London, UK
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96
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Affiliation(s)
- George Davey Smith
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, Bristol BS8 2BN, UK.
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97
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Ekkekakis P, Vazou S, Bixby WR, Georgiadis E. The mysterious case of the public health guideline that is (almost) entirely ignored: call for a research agenda on the causes of the extreme avoidance of physical activity in obesity. Obes Rev 2016; 17:313-29. [PMID: 26806460 DOI: 10.1111/obr.12369] [Citation(s) in RCA: 80] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2015] [Revised: 11/07/2015] [Accepted: 11/17/2015] [Indexed: 01/05/2023]
Abstract
Physical activity and exercise guidelines for weight management call for at least 60 min of daily activity. However, these documents fail to acknowledge that almost no obese adults meet this target and that non-adherence and dropout are even higher among obese individuals than the general population. The reasons for this level of activity avoidance among obese individuals remain poorly understood, and there are no evidence-based methods for addressing the problem. Opinions among exercise scientists are polarized. Some advocate moderate intensity and long duration, whereas others call for high intensity and shorter duration. The latter approach attributes the inactivity and high dropout to limited discretionary time and the slow accrual of visible benefits. However, higher intensity has been associated with non-adherence and dropout, whereas longer duration has not. A conceptual model is then proposed, according to which obesity interacts with intensity, causing physical activity and exercise to be associated with reduced pleasure among obese individuals. We theorize that, in turn, repeated experiences of reduced pleasure lead to avoidance. On this basis, we call for a research agenda aimed at identifying the causes of activity-associated and exercise-associated displeasure in obesity and, by extension, the causes of the extreme physical inactivity among obese individuals.
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Affiliation(s)
- P Ekkekakis
- Department of Kinesiology, Iowa State University, Ames, USA
| | - S Vazou
- Department of Kinesiology, Iowa State University, Ames, USA
| | - W R Bixby
- Department of Exercise Science, Elon University, USA
| | - E Georgiadis
- Department of Science and Technology, University Campus Suffolk, UK
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98
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Taylor PN, Richmond R, Davies N, Sayers A, Stevenson K, Woltersdorf W, Taylor A, Groom A, Northstone K, Ring S, Okosieme O, Rees A, Nitsch D, Williams GR, Smith GD, Gregory JW, Timpson NJ, Tobias JH, Dayan CM. Paradoxical Relationship Between Body Mass Index and Thyroid Hormone Levels: A Study Using Mendelian Randomization. J Clin Endocrinol Metab 2016; 101:730-8. [PMID: 26595101 PMCID: PMC4880123 DOI: 10.1210/jc.2015-3505] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 11/18/2015] [Indexed: 11/19/2022]
Abstract
CONTEXT Free T3 (FT3) has been positively associated with body mass index (BMI) in cross-sectional studies in healthy individuals. This is difficult to reconcile with clinical findings in pathological thyroid dysfunction. OBJECTIVE We aimed to investigate whether childhood adiposity influences FT3 levels. DESIGN Mendelian randomization using genetic variants robustly associated with BMI. SETTING Avon Longitudinal Study of Parents and Children, a population-based birth cohort. PARTICIPANTS A total of 3014 children who had thyroid function measured at age 7, who also underwent dual x-ray absorptiometry scans at ages 9.9 and 15.5 years and have genetic data available. MAIN OUTCOME MEASURES FT3. RESULTS Observationally at age 7 years, BMI was positively associated with FT3: β-standardized (β-[std]) = 0.12 (95% confidence interval [CI]: 0.08, 0.16), P = 4.02 × 10(-10); whereas FT4 was negatively associated with BMI: β-(std) = -0.08 (95% CI: -0.12, -0.04), P = 3.00 × 10(-5). These differences persisted after adjustment for age, sex, and early life environment. Genetic analysis indicated 1 allele change in BMI allelic score was associated with a 0.04 (95% CI: 0.03, 0.04) SD increase in BMI (P = 6.41 × 10(-17)). At age 7, a genetically determined increase in BMI of 1.89 kg/m(2) was associated with a 0.22 pmol/L (95% CI: 0.07, 0.36) increase in FT3 (P = .004) but no substantial change in FT4 0.01 mmol/L, (95% CI: -0.37, 0.40), P = .96. CONCLUSION Our analysis shows that children with a genetically higher BMI had higher FT3 but not FT4 levels, indicating that higher BMI/fat mass has a causal role in increasing FT3 levels. This may explain the paradoxical associations observed in observational analyses. Given rising childhood obesity levels, this relationship merits closer scrutiny.
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Affiliation(s)
- Peter N Taylor
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Rebecca Richmond
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Neil Davies
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Adrian Sayers
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Kirsty Stevenson
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Wolfram Woltersdorf
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Andrew Taylor
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Alix Groom
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Kate Northstone
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Susan Ring
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Onyebuchi Okosieme
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Aled Rees
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Dorothea Nitsch
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Graham R Williams
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - George Davey Smith
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - John W Gregory
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Nicholas J Timpson
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Jonathan H Tobias
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
| | - Colin M Dayan
- Thyroid Research Group (P.N.T., O.O., J.W.G., C.M.D.) and Institute of Molecular and Experimental Medicine (A.R.), Cardiff University School of Medicine, Cardiff, CF14 4XN United Kingdom; Medical Research Council Integrative Epidemiology Unit (R.R., N.D., G.D.S., N.J.T.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Social and Community Medicine (A.S., A.G., K.N., S.R.), University of Bristol, Bristol, BS8 2BN United Kingdom; Department of Biochemistry (K.S.), Bristol Royal Infirmary University Hospitals Bristol National Health Service Foundation Trust, Bristol, BS2 8HW United Kingdom; Geschäftsleiter Medizinisches Versorgungszentrum Labor Dr. Reising-Ackermann und Kollegen (W.W.), D-04289 Leipzig, Germany; Department of Biochemistry (A.T.), Royal United Hospital, Bath, BA1 3NG United Kingdom; Department of Non-Communicable Disease Epidemiology (D.N.), Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, CF14 4XN United Kingdom; Molecular Endocrinology Group (G.R.W.), Department of Medicine, Imperial College London, London, WC1E 7HT United Kingdom; and Musculoskeletal Research Unit (J.H.T.), University of Bristol, Learning and Research Southmead Hospital, Westbury on Trym, Bristol, BS10 5NB United Kingdom
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Domingue BW, Wedow R, Conley D, McQueen M, Hoffmann TJ, Boardman JD. Genome-Wide Estimates of Heritability for Social Demographic Outcomes. BIODEMOGRAPHY AND SOCIAL BIOLOGY 2016; 62:1-18. [PMID: 27050030 PMCID: PMC4918078 DOI: 10.1080/19485565.2015.1068106] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
An increasing number of studies that are widely used in the demographic research community have collected genome-wide data from their respondents. It is therefore important that demographers have a proper understanding of some of the methodological tools needed to analyze such data. This article details the underlying methodology behind one of the most common techniques for analyzing genome-wide data, genome-wide complex trait analysis (GCTA). GCTA models provide heritability estimates for health, health behaviors, or indicators of attainment using data from unrelated persons. Our goal was to describe this model, highlight the utility of the model for biodemographic research, and demonstrate the performance of this approach under modifications to the underlying assumptions. The first set of modifications involved changing the nature of the genetic data used to compute genetic similarities between individuals (the genetic relationship matrix). We then explored the sensitivity of the model to heteroscedastic errors. In general, GCTA estimates are found to be robust to the modifications proposed here, but we also highlight potential limitations of GCTA estimates.
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Affiliation(s)
| | - Robbee Wedow
- Institute of Behavioral Science, University of Colorado Boulder
| | - Dalton Conley
- Department of Sociology & Center for Genomics and Systems Biology, New York University
| | - Matt McQueen
- Institute of Behavioral Science, University of Colorado Boulder
| | - Thomas J. Hoffmann
- Department of Epidemiology & Biostatistics, and Institute for Human Genetics, University of California San Francisco
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Abstract
OBJECTIVES The aim of the present study was to assess whether objectively measured physical activity at mean ages 12 and 14 years are prospectively associated with ultrasound scan liver fat and stiffness (alanine aminotransferase, aspartate aminotransferase [AST], and γ-glutamyl transferase [GGT]) assessed at mean age 17.8 years. METHODS Participants were from the Avon Longitudinal Study of Parents and Children. Total physical activity (counts per minute) and minutes of moderate to vigorous physical activity (MVPA) were measured using ActiGraph accelerometers at mean ages 12 and 14 years. RESULTS Greater total physical activity and MVPA at ages 12 and 14 years were associated with lower odds of liver fat and lower GGT levels at mean age 17.8 years, such as per 15-minute increase in daily MVPA at age 12 years, the confounder adjusted odds ratio of liver fat was 0.47 (95% confidence interval [CI] 0.27-0.84). Associations attenuated after additional adjustment for fat mass as a potential confounder (eg, per 15-minute increase in daily MVPA at age 12 years, the odds ratio of liver fat attenuated to 0.65 [95% CI 0.35-1.21]) or a potential mediator (eg, per 15-minute increase in daily MVPA at age 12 years the odds ratio of liver fat attenuated to 0.59 [95% CI 0.32-1.09]). Results did not further attenuate after additional adjustment for insulin resistance. There was some evidence that greater total physical activity and MVPA at age 12 years were associated with the higher AST levels. CONCLUSIONS Adolescents who were more active in childhood have lower odds of fatty liver and lower GGT levels. These findings are likely to be, at least in part, explained by adiposity.
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