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An JH, Han KD, Jeon HJ. Higher metabolic variability increases the risk of depressive disorder in type 2 diabetes mellitus: a longitudinal nationwide cohort study. Front Psychiatry 2023; 14:1217104. [PMID: 37555004 PMCID: PMC10405173 DOI: 10.3389/fpsyt.2023.1217104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/05/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND AND OBJECTIVES While variabilities in metabolic parameters (METv) have been linked to adverse health outcomes in type 2 DM, their association with depression is yet to be studied. This research aimed to investigate the association between METv and depressive disorder in patients with type 2 DM. METHODS The study involved a nationwide cohort of 1,119,631 type 2 DM patients who had undergone three or more serial health examinations between 2005 and 2012. At each visit, body mass index (BMI), fasting glucose (FG), systolic blood pressure (BP), and total cholesterol (TC) were measured and stratified into quartiles, with Q4 being the highest and Q1 the lowest. The risk of depressive disorder was evaluated using Cox proportional hazard regression models, which accounted for METs in the indexes, after adjusting for sex, income status, lifestyle habits, medical comorbidities, DM severity, and baseline levels of BMI, FG, BP, and TC. RESULTS During a mean follow-up period of 6.00 ± 2.42 years, 239,477 (21.4%) cases of type 2 DM patients developed depressive disorder. The risk of developing depressive disorder was gradually increased as the number of METv increased (HR 1.18; 95% CI 1.13, 1.23 for the group with the highest METv in all parameters compared to those with the lowest METv in all parameters). In the subgroup analysis, the risk of developing depressive disorder was 43% higher in men (HR 1.43; 95% CI 1.34, 1.51), and 31% higher in those younger than 65 years of age (HR 1.31; 95% CI 1.23, 1.39) in the group with the highest number of METv compared to the group with the lowest number of METv. CONCLUSION In type 2 DM, higher METv was an independent risk factor for depressive disorder. This risk is notably elevated in men and individuals under the age of 65 years.
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Affiliation(s)
- Ji Hyun An
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyung-do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences and Technology, Department of Medical Device Management and Research, Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
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Park MJ, Yoo J, Han K, Shin DW, Fava M, Mischoulon D, Jeon HJ. High body weight variability is associated with increased risk of depression: a nationwide cohort study in South Korea. Psychol Med 2023; 53:3719-3727. [PMID: 35257654 DOI: 10.1017/s003329172200040x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Body weight variability (BWV) negatively affects the incidence and outcomes of various diseases, but the nature of the association between BWV and depression remains unclear. In this study, we aimed to test the hypothesis that BWV is associated with the risk of new-onset depression. METHODS Data from a nationwide population-based cohort in the Korean National Health Insurance Service database were analyzed for 6 598 570 adults with no history of depression and reports of at least three health examinations. BWV was estimated using variability independent of the mean indices and divided into quartiles (Q1 lowest, Q4 highest BWV). Cox proportional hazard models were applied to assess the risk of depression according to the quartile of BWV. RESULTS The incident rate for depression from Q1 to Q4 of BWV was 20.7, 20.3, 20.8, and 22.2 per 1000 person-years, respectively. BWV, especially high BWV, was associated with an increased risk of depression after adjusting for age, sex, smoking, alcohol consumption, physical activity, income, diabetes mellitus, hypertension, and dyslipidemia. The hazard ratio (HR) of new-onset depression was highest in Q4 relative to Q1 in the total population (HR 1.12, p < 0.0001) and was higher in women than in men (HR 1.72 v. 1.16, p < 0.0001). In stratified analyses, regardless of obesity or weight change status at baseline, the risk of depression was increased when bodyweight fluctuated highly during follow-up. CONCLUSIONS High BWV was associated with an increased risk of depression. Further studies need to evaluate the role of high BWV with respect to the onset of depression.
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Affiliation(s)
- Mi Jin Park
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Juhwan Yoo
- Department of Biomedicine & Health Science, The Catholic University of Korea, Seoul, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Dong Wook Shin
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Maurizio Fava
- Depression Clinical and Research Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - David Mischoulon
- Depression Clinical and Research Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
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Guerra JVS, Dias MMG, Brilhante AJVC, Terra MF, García-Arévalo M, Figueira ACM. Multifactorial Basis and Therapeutic Strategies in Metabolism-Related Diseases. Nutrients 2021; 13:nu13082830. [PMID: 34444990 PMCID: PMC8398524 DOI: 10.3390/nu13082830] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/09/2021] [Accepted: 08/11/2021] [Indexed: 12/11/2022] Open
Abstract
Throughout the 20th and 21st centuries, the incidence of non-communicable diseases (NCDs), also known as chronic diseases, has been increasing worldwide. Changes in dietary and physical activity patterns, along with genetic conditions, are the main factors that modulate the metabolism of individuals, leading to the development of NCDs. Obesity, diabetes, metabolic associated fatty liver disease (MAFLD), and cardiovascular diseases (CVDs) are classified in this group of chronic diseases. Therefore, understanding the underlying molecular mechanisms of these diseases leads us to develop more accurate and effective treatments to reduce or mitigate their prevalence in the population. Given the global relevance of NCDs and ongoing research progress, this article reviews the current understanding about NCDs and their related risk factors, with a focus on obesity, diabetes, MAFLD, and CVDs, summarizing the knowledge about their pathophysiology and highlighting the currently available and emerging therapeutic strategies, especially pharmacological interventions. All of these diseases play an important role in the contamination by the SARS-CoV-2 virus, as well as in the progression and severity of the symptoms of the coronavirus disease 2019 (COVID-19). Therefore, we briefly explore the relationship between NCDs and COVID-19.
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Affiliation(s)
- João V. S. Guerra
- Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Biosciences National Laboratory (LNBio), Polo II de Alta Tecnologia—R. Giuseppe Máximo Scolfaro, Campinas 13083-100, Brazil; (J.V.S.G.); (M.M.G.D.); (M.F.T.)
- Graduate Program in Pharmaceutical Sciences, Faculty Pharmaceutical Sciences, University of Campinas, Campinas 13083-970, Brazil
| | - Marieli M. G. Dias
- Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Biosciences National Laboratory (LNBio), Polo II de Alta Tecnologia—R. Giuseppe Máximo Scolfaro, Campinas 13083-100, Brazil; (J.V.S.G.); (M.M.G.D.); (M.F.T.)
- Graduate Program in Functional and Molecular Biology, Institute of Biology, State University of Campinas (Unicamp), Campinas 13083-970, Brazil;
| | - Anna J. V. C. Brilhante
- Graduate Program in Functional and Molecular Biology, Institute of Biology, State University of Campinas (Unicamp), Campinas 13083-970, Brazil;
- Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Biorenewables National Laboratory (LNBR), Polo II de Alta Tecnologia—R. Giuseppe Máximo Scolfaro, Campinas 13083-100, Brazil
| | - Maiara F. Terra
- Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Biosciences National Laboratory (LNBio), Polo II de Alta Tecnologia—R. Giuseppe Máximo Scolfaro, Campinas 13083-100, Brazil; (J.V.S.G.); (M.M.G.D.); (M.F.T.)
- Graduate Program in Functional and Molecular Biology, Institute of Biology, State University of Campinas (Unicamp), Campinas 13083-970, Brazil;
| | - Marta García-Arévalo
- Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Biosciences National Laboratory (LNBio), Polo II de Alta Tecnologia—R. Giuseppe Máximo Scolfaro, Campinas 13083-100, Brazil; (J.V.S.G.); (M.M.G.D.); (M.F.T.)
- Correspondence: or (M.G.-A.); (A.C.M.F.)
| | - Ana Carolina M. Figueira
- Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Biosciences National Laboratory (LNBio), Polo II de Alta Tecnologia—R. Giuseppe Máximo Scolfaro, Campinas 13083-100, Brazil; (J.V.S.G.); (M.M.G.D.); (M.F.T.)
- Correspondence: or (M.G.-A.); (A.C.M.F.)
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Tubbs JD, Hwang LD, Luong J, Evans DM, Sham PC. Modeling Parent-Specific Genetic Nurture in Families with Missing Parental Genotypes: Application to Birthweight and BMI. Behav Genet 2021; 51:289-300. [PMID: 33454873 DOI: 10.1007/s10519-020-10040-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 11/15/2020] [Accepted: 12/15/2020] [Indexed: 12/25/2022]
Abstract
Disaggregation and estimation of genetic effects from offspring and parents has long been of interest to statistical geneticists. Recently, technical and methodological advances have made the genome-wide and loci-specific estimation of direct offspring and parental genetic nurture effects more possible. However, unbiased estimation using these methods requires datasets where both parents and at least one child have been genotyped, which are relatively scarce. Our group has recently developed a method and accompanying software (IMPISH; Hwang et al. in PLoS Genet 16:e1009154, 2020) which is able to impute missing parental genotypes from observed data on sibships and estimate their effects on an offspring phenotype conditional on the effects of genetic transmission. However, this method is unable to disentangle maternal and paternal effects, which may differ in magnitude and direction. Here, we introduce an extension to the original IMPISH routine which takes advantage of all available nuclear families to impute parent-specific missing genotypes and obtain asymptotically unbiased estimates of genetic effects on offspring phenotypes. We apply this this method to data from related individuals in the UK Biobank, showing concordance with previous estimates of maternal genetic effects on offspring birthweight. We also conduct the first GWAS jointly estimating offspring-, maternal-, and paternal-specific genetic effects on body-mass index.
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Affiliation(s)
- Justin D Tubbs
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Liang-Dar Hwang
- University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
| | - Justin Luong
- University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia
| | - David M Evans
- University of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia.,Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Pak C Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China. .,Centre for PanorOmic Sciences, University of Hong Kong, Hong Kong, China. .,State Key Laboratory for Cognitive and Brain Sciences, University of Hong Kong, Hong Kong, China. .,The University of Hong Kong, 1/F, Jockey Club Building for Interdisciplinary Research, 5 Sassoon Road, Pokfulam, Hong Kong, China.
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Kim DH, Nam GE, Han K, Kim YH, Park KY, Hwang HS, Han B, Cho SJ, Jung SJ, Yoon YJ, Roh YK, Cho KH, Park YG. Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study. Endocrinol Metab (Seoul) 2020; 35:933-942. [PMID: 33397045 PMCID: PMC7803605 DOI: 10.3803/enm.2020.871] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/11/2020] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Evidence regarding the association between variabilities in obesity measures and health outcomes is limited. We aimed to examine the association between variabilities in obesity measures and cardiovascular outcomes and all-cause mortality. METHODS We identified 4,244,460 individuals who underwent health examination conducted by the Korean National Health Insurance Service during 2012, with ≥3 anthropometric measurements between 2009 and 2012. Variabilities in body weight (BW) and waist circumference (WC) were assessed using four indices including variability independent of the mean (VIM). We performed multivariable Cox proportional hazards regression analyses. RESULTS During follow-up of 4.4 years, 16,095, 18,957, and 30,200 cases of myocardial infarction (MI), stroke, and all-cause mortality were recorded. Compared to individuals with the lowest quartiles, incrementally higher risks of study outcomes and those of stroke and all-cause mortality were observed among individuals in higher quartiles of VIM for BW and VIM for WC, respectively. The multivariable adjusted hazard ratios and 95% confidence intervals comparing the highest versus lowest quartile groups of VIM for BW were 1.17 (1.12 to 1.22) for MI, 1.20 (1.16 to 1.25) for stroke, and 1.66 (1.60 to 1.71) for all-cause mortality; 1.07 (1.03 to 1.12) for stroke and 1.29 (1.25 to 1.33) for all-cause mortality regarding VIM for WC. These associations were similar with respect to the other indices for variability. CONCLUSION This study revealed positive associations between variabilities in BW and WC and cardiovascular outcomes and allcause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.
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Affiliation(s)
- Da Hye Kim
- Department of Biomedicine & Health Science, Graduate School, The Catholic University of Korea, Seoul,
Korea
| | - Ga Eun Nam
- Department of Family Medicine, Korea University College of Medicine, Seoul,
Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul,
Korea
| | - Yang-Hyun Kim
- Department of Family Medicine, Korea University College of Medicine, Seoul,
Korea
| | - Kye-Yeung Park
- Department of Family Medicine, Hanyang University College of Medicine, Seoul,
Korea
| | - Hwan-Sik Hwang
- Department of Family Medicine, Hanyang University College of Medicine, Seoul,
Korea
| | - Byoungduck Han
- Department of Family Medicine, Korea University College of Medicine, Seoul,
Korea
| | - Sung Jung Cho
- Department of Family Medicine, Korea University College of Medicine, Seoul,
Korea
- Department of Family Medicine, Sahmyook Medical Center, Hallym University College of Medicine, Seoul,
Korea
| | - Seung Jin Jung
- Department of Family Medicine, Korea University College of Medicine, Seoul,
Korea
- Department of Family Medicine, Gimpo Woori Hospital, Hallym University College of Medicine, Seoul,
Korea
| | - Yeo-Joon Yoon
- Department of Family Medicine, Sahmyook Medical Center, Hallym University College of Medicine, Seoul,
Korea
| | - Yong Kyun Roh
- Department of Family Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul,
Korea
| | - Kyung Hwan Cho
- Department of Family Medicine, Korea University College of Medicine, Seoul,
Korea
| | - Yong Gyu Park
- Department of Medical Lifescience, College of Medicine, The Catholic University of Korea, Seoul,
Korea
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Tubbs JD, Porsch RM, Cherny SS, Sham PC. The Genes We Inherit and Those We Don’t: Maternal Genetic Nurture and Child BMI Trajectories. Behav Genet 2020; 50:310-319. [DOI: 10.1007/s10519-020-10008-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 07/09/2020] [Indexed: 01/06/2023]
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Nicholas (Nick) G. Martin and the Extended Twin Model. Twin Res Hum Genet 2020; 23:84-86. [PMID: 32423500 DOI: 10.1017/thg.2020.37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The extended twin model is a unique design in the genetic epidemiology toolbox that allows to simultaneously estimate multiple causes of variation such as genetic and cultural transmission, genotype-environment covariance and assortative mating, among others. Nick Martin has played a key role in the conception of the model, the collection of substantially large data sets to test the model, the application of the model to a range of phenotypes, the publication of the results including cross-cultural comparisons, the evaluation of bias and power of the design and the further elaborations of the model, such as the children-of-twins design.
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Kačarević ŽP, Grgić A, Šnajder D, Bijelić N, Belovari T, Cvijanović O, Blažičević V, Radić R. Different combinations of maternal and postnatal diet are reflected in changes of hepatic parenchyma and hepatic TNF-alpha expression in male rat offspring. Acta Histochem 2017; 119:719-726. [PMID: 28923316 DOI: 10.1016/j.acthis.2017.09.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 09/06/2017] [Accepted: 09/06/2017] [Indexed: 01/22/2023]
Abstract
Obesity is related to increased TNF-alpha production in different tissues. TNF-alpha is connected to mitochondrial dysfunction in the liver and also development of fatty infiltration of the liver. Also, postnatal change from normal to high-fat diet causes a significant increase in TNF-alpha serum levels. The aim of this research was to determine how maternal diet and switching male offspring to a different dietary regime after lactation influences rat liver. Ten female Sprague Dawley rats at nine weeks of age were randomly divided in two groups and fed either standard laboratory chow or high-fat diet during six weeks, and then mated with the same male subject. After birth and lactation male offspring from both groups were further divided into four subgroups depending on their subsequent diet. At 22 weeks of age, the animals were weighted, sacrificed and major organs were collected and weighted. Immunohistochemistry for TNF-alpha was performed on liver, and liver samples were analyzed for pathohistological changes. The group in which mothers were fed standard chow and offspring high-fat diet had the most pronounced changes: heaviest liver, poorest histopathological findings and strongest TNF-alpha immunohistochemical staining of liver parenchyma. High-fat diet during pregnancy and lactation and switching to high-fat diet postnatally affects liver weight, histological structure and TNF-alpha expression in male offspring.
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Affiliation(s)
- Željka Perić Kačarević
- Department of Anatomy and Neuroscience, Faculty of Medicine, University of Osijek, J. Huttlera 4, 3100 Osijek, Croatia.
| | - Anđela Grgić
- Department of Anatomy and Neuroscience, Faculty of Medicine, University of Osijek, J. Huttlera 4, 3100 Osijek, Croatia; Department of Physical Medicine and Rehabilitation, University Hospital Centre Osijek, Osijek, Croatia.
| | - Darija Šnajder
- Department of Anatomy and Neuroscience, Faculty of Medicine, University of Osijek, J. Huttlera 4, 3100 Osijek, Croatia; Clinical Institute of Nuclear Medicine and Radiation Protection, University Hospital Centre Osijek, Osijek, Croatia.
| | - Nikola Bijelić
- Department of Histology and Embryology, Faculty of Medicine, University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia.
| | - Tatjana Belovari
- Department of Histology and Embryology, Faculty of Medicine, University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia.
| | - Olga Cvijanović
- Department of Anatomy, Rijeka Medical Faculty, Brace Branchetta 20/1, 51000 Rijeka, Croatia.
| | - Valerija Blažičević
- Department of Pathology, Faculty of Medicine, University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia.
| | - Radivoje Radić
- Department of Anatomy and Neuroscience, Faculty of Medicine, University of Osijek, J. Huttlera 4, 3100 Osijek, Croatia.
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Abstract
OBJECTIVE To test the relationship of anxiety to caloric intake and food cue perception in women and men. METHODS Fifty-five twins (26 complete, 3 incomplete pairs; 51% women) underwent 2 functional magnetic resonance imaging (fMRI) scans (before and after a standardized meal) and then ate at an ad libitum buffet to objectively assess food intake. State and trait anxiety were assessed using the State-Trait Anxiety Inventory. During the fMRI scans, participants viewed blocks of fattening and nonfattening food images, and nonfood objects. RESULTS In women, higher trait anxiety was associated with a higher body mass index (BMI) (r = 0.40, p = .010). Trait anxiety was positively associated with kilocalories consumed at the buffet (r = 0.53, p = .005) and percent kilocalories consumed from fat (r = 0.30, p = .006), adjusted for BMI. In within-pair models, which control for shared familial and genetic factors, higher trait anxiety remained associated with kilocalories consumed at the buffet (p = .66, p = .014), but not with BMI. In men, higher state anxiety was related to macronutrient choices, but not to total caloric intake or BMI. FMRI results revealed that women with high trait anxiety did not suppress activation by fattening food cues across brain regions associated with satiety perception after eating a standardized meal (low anxiety, mean difference = -15.4, p < .001; high anxiety, mean difference = -1.53, p = .82, adjusted for BMI). CONCLUSIONS In women, trait anxiety may promote excess caloric consumption through altered perception of high-calorie environmental food cues, placing women with genetic predispositions toward weight gain at risk of obesity. TRIAL REGISTRATION Clinicaltrials.govidentifier:NCT02483663.
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Iranzo-Tatay C, Gimeno-Clemente N, Livianos-Aldana L, Rojo-Moreno L. [Genetic and environmental contributions to body mass index in a Spanish adolescent twin sample]. Med Clin (Barc) 2015; 145:153-9. [PMID: 25066500 DOI: 10.1016/j.medcli.2014.05.039] [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] [Received: 11/05/2013] [Revised: 05/17/2014] [Accepted: 05/22/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND AND OBJECTIVE Twin and family studies support large genetic influences on variability in body mass index (BMI), with heritability estimates ranging from 47% to over 90%. Our objective was to study the relative contributions of genetics and environment to BMI, evaluating sex differences, in an adolescent twin sample from Valencia, Spain. MATERIAL AND METHODS Five hundred eighty-four pairs of adolescent twins between 13 and 18 years of age completed the study (82 monozygotic [MZ] and 87 dizygotic [DZ] pairs of male twins, 118 MZ and 102 DZ pairs of female twins, and 195 opposite-sex pairs of DZ twins). To determine zygosity, teachers responded a questionnaire on physical similarity. They also measured the participant's height and weight. BMI was calculated and weight status was determined according to age. We used twin models to assess genetic and environmental (common and unique) factors affecting BMI. RESULTS There was a 7.1% frequency of overweight and 2.8% of obesity. The estimated heritability of BMI was 88.0% in boys and 72.1% in girls, with the remaining variance attributable to non-shared environment in boys (12.0%) and 8.8% in girls. It was only in girls that common environment had an effect on BMI. CONCLUSIONS Genetics appears to play an important role in explaining the variability in BMI in the adolescence, with slight variations between boys and girls. Common environmental factors exert their influence on BMI only in girls.
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Affiliation(s)
- Carmen Iranzo-Tatay
- Servicio de Psiquiatría, Hospital Universitario y Politécnico La Fe, Valencia, España.
| | - Natalia Gimeno-Clemente
- Grupo de investigación Psiquiátrica, Sección de Psiquiatría Infanto-Juvenil, Hospital Universitario La Fe, Valencia, España
| | - Lorenzo Livianos-Aldana
- Servicio de Psiquiatría, Hospital Universitario y Politécnico La Fe, Valencia, España; Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP); Departamento de Psiquiatría, Facultad de Medicina, Universidad de Valencia, Valencia, España
| | - Luis Rojo-Moreno
- Servicio de Psiquiatría, Hospital Universitario y Politécnico La Fe, Valencia, España; Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP); Departamento de Psiquiatría, Facultad de Medicina, Universidad de Valencia, Valencia, España
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11
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Announcement of the Fulker Award for a Paper Published in Behavior Genetics, Volume 42, 2012. Behav Genet 2013. [DOI: 10.1007/s10519-013-9611-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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