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Mussa J, Rahme E, Dahhou M, Nakhla M, Dasgupta K. Incident Diabetes in Women With Patterns of Gestational Diabetes Occurrences Across 2 Pregnancies. JAMA Netw Open 2024; 7:e2410279. [PMID: 38722629 PMCID: PMC11082690 DOI: 10.1001/jamanetworkopen.2024.10279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/07/2024] [Indexed: 05/12/2024] Open
Abstract
Importance Gestational diabetes is a type 2 diabetes risk indicator, and recurrence further augments risk. In women with a single occurrence across 2 pregnancies, it is unclear whether first- vs second-pregnancy gestational diabetes differ in terms of risk. Objective To compare the hazards of incident diabetes among those with gestational diabetes in the first, in the second, and in both pregnancies with women without gestational diabetes in either. Design, Setting, and Participants This was a retrospective cohort study with cohort inception from April 1, 1990, to December 31, 2012. Follow-up was April 1, 1990, to April 1, 2019. Participants were mothers with 2 singleton deliveries between April 1, 1990, and December 31, 2012, without diabetes before or between pregnancies, who were listed in public health care insurance administrative databases and birth, stillbirth, and death registries in Quebec, Canada. Data were analyzed from July to December 2023. Exposure Gestational diabetes occurrence(s) across 2 pregnancies. Main outcomes and measures Incident diabetes from the second delivery until a third pregnancy, death, or the end of the follow-up period, whichever occurred first. Results The 431 980 women with 2 singleton deliveries studied had a mean (SD) age of 30.1 (4.5) years at second delivery, with a mean (SD) of 2.8 (1.5) years elapsed between deliveries; 373 415 (86.4%) were of European background, and 78 770 (18.2%) were at the highest quintile of material deprivation. Overall, 10 920 women (2.5%) had gestational diabetes in their first pregnancy, 16 145 (3.7%) in their second, and 8255 (1.9%) in both (12 205 incident diabetes events; median [IQR] follow-up 11.5 [5.3-19.4] years). First pregnancy-only gestational diabetes increased hazards 4.35-fold (95% CI, 4.06-4.67), second pregnancy-only increased hazards 7.68-fold (95% CI, 7.31-8.07), and gestational diabetes in both pregnancies increased hazards 15.8-fold (95% CI, 15.0-16.6). Compared with first pregnancy-only gestational diabetes, second pregnancy-only gestational diabetes increased hazards by 76% (95% CI, 1.63-1.91), while gestational diabetes in both pregnancies increased it 3.63-fold (95% CI, 3.36-3.93). Conclusions and relevance In this retrospective cohort study of nearly half a million women with 2 singleton pregnancies, both the number and ordinal pregnancy of any gestational diabetes occurrence increased diabetes risk. These considerations offer greater nuance than an ever or never gestational diabetes dichotomy.
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Affiliation(s)
- Joseph Mussa
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Elham Rahme
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Mourad Dahhou
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Meranda Nakhla
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
| | - Kaberi Dasgupta
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
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Ejima K, Liu N, Mestre LM, de los Campos G, Allison DB. Conditioning on parental mating types can reduce necessary assumptions for Mendelian randomization. Front Genet 2023; 14:1014014. [PMID: 36950138 PMCID: PMC10025466 DOI: 10.3389/fgene.2023.1014014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 02/17/2023] [Indexed: 03/08/2023] Open
Abstract
Mendelian randomization (MR) has become a common tool used in epidemiological studies. However, when confounding variables are correlated with the instrumental variable (in this case, a genetic/variant/marker), the estimation can remain biased even with MR. We propose conditioning on parental mating types (a function of parental genotypes) in MR to eliminate the need for one set of assumptions, thereby plausibly reducing such bias. We illustrate a situation in which the instrumental variable and confounding variables are correlated using two unlinked diallelic genetic loci: one, an instrumental variable and the other, a confounding variable. Assortative mating or population admixture can create an association between the two unlinked loci, which can violate one of the necessary assumptions for MR. We simulated datasets involving assortative mating and population admixture and analyzed them using three different methods: 1) conventional MR, 2) MR conditioning on parental genotypes, and 3) MR conditioning on parental mating types. We demonstrated that conventional MR leads to type I error rate inflation and biased estimates for cases with assortative mating or population admixtures. In the presence of non-additive effects, MR with an adjustment for parental genotypes only partially reduced the type I error rate inflation and bias. In contrast, conditioning on parental mating types in MR eliminated the type I error inflation and bias under these circumstances. Conditioning on parental mating types is a useful strategy to reduce the burden of assumptions and the potential bias in MR when the correlation between the instrument variable and confounders is due to assortative mating or population stratification but not linkage.
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Affiliation(s)
- Keisuke Ejima
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nianjun Liu
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States
| | - Luis Miguel Mestre
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States
| | - Gustavo de los Campos
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States
- Department of Statistics and Probability, Michigan State University, East Lansing, MI, United States
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, United States
| | - David B. Allison
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States
- *Correspondence: David B. Allison,
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Genetic footprints of assortative mating in the Japanese population. Nat Hum Behav 2023; 7:65-73. [PMID: 36138222 PMCID: PMC9883156 DOI: 10.1038/s41562-022-01438-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 07/20/2022] [Indexed: 02/03/2023]
Abstract
Assortative mating (AM) is a pattern characterized by phenotypic similarities between mating partners. Detecting the evidence of AM has been challenging due to the lack of large-scale datasets that include phenotypic data on both partners, especially in populations of non-European ancestries. Gametic phase disequilibrium between trait-associated alleles is a signature of parental AM on a polygenic trait, which can be detected even without partner data. Here, using polygenic scores for 81 traits in the Japanese population using BioBank Japan Project genome-wide association studies data (n = 172,270), we found evidence of AM on the liability to type 2 diabetes and coronary artery disease, as well as on dietary habits. In cross-population comparison using United Kingdom Biobank data (n = 337,139) we found shared but heterogeneous impacts of AM between populations.
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Hemmingsson E, Nowicka P, Ulijaszek S, Sørensen TIA. The social origins of obesity within and across generations. Obes Rev 2023; 24:e13514. [PMID: 36321346 PMCID: PMC10077989 DOI: 10.1111/obr.13514] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/10/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022]
Abstract
We propose a model for obesity development that traces a considerable part of its origins to the social domain (mainly different forms of prolonged social adversity), both within and across generations, working in tandem with a genetic predisposition. To facilitate overview of social pathways, we place particular focus on three areas that form a cascading sequence: (A) social adversity within the family (parents having a low education, a low social position, poverty and financial insecurity; offspring being exposed to gestational stress, unmet social and emotional needs, abuse, maltreatment and other negative life events, social deprivation and relationship discord); (B) increasing levels of insecurity, negative emotions, chronic stress, and a disruption of energy homeostasis; and (C) weight gain and obesity, eliciting further social stress and weight stigma in both generations. Social adversity, when combined with genetic predisposition, thereby substantially contributes to highly effective transmission of obesity from parents to offspring, as well as to obesity development within current generations. Prevention efforts may benefit from mitigating multiple types of social adversity in individuals, families, and communities, notably poverty and financial strain, and by improving education levels.
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Affiliation(s)
- Erik Hemmingsson
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Paulina Nowicka
- Department of Food Studies, Nutrition, and Dietetics, Uppsala University, Uppsala, Sweden
| | - Stanley Ulijaszek
- Unit for Biocultural Variation and Obesity, School of Anthropology and Museum Ethnography, University of Oxford, Oxford, UK
| | - Thorkild I A Sørensen
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Speakman JR, Elmquist JK. Obesity: an evolutionary context. LIFE METABOLISM 2022; 1:10-24. [PMID: 36394061 PMCID: PMC9642988 DOI: 10.1093/lifemeta/loac002] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/21/2022] [Accepted: 03/09/2022] [Indexed: 05/07/2023]
Abstract
People completely lacking body fat (lipodystrophy/lipoatrophy) and those with severe obesity both show profound metabolic and other health issues. Regulating levels of body fat somewhere between these limits would, therefore, appear to be adaptive. Two different models might be contemplated. More traditional is a set point (SP) where the levels are regulated around a fixed level. Alternatively, dual-intervention point (DIP) is a system that tolerates fairly wide variation but is activated when critically high or low levels are breached. The DIP system seems to fit our experience much better than an SP, and models suggest that it is more likely to have evolved. A DIP system may have evolved because of two contrasting selection pressures. At the lower end, we may have been selected to avoid low levels of fat as a buffer against starvation, to avoid disease-induced anorexia, and to support reproduction. At the upper end, we may have been selected to avoid excess storage because of the elevated risks of predation. This upper limit of control seems to have malfunctioned because some of us deposit large fat stores, with important negative health effects. Why has evolution not protected us against this problem? One possibility is that the protective system slowly fell apart due to random mutations after we dramatically reduced the risk of being predated during our evolutionary history. By chance, it fell apart more in some people than others, and these people are now unable to effectively manage their weight in the face of the modern food glut. To understand the evolutionary context of obesity, it is important to separate the adaptive reason for storing some fat (i.e. the lower intervention point), from the nonadaptive reason for storing lots of fat (a broken upper intervention point). The DIP model has several consequences, showing how we understand the obesity problem and what happens when we attempt to treat it.
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Affiliation(s)
- John R Speakman
- Corresponding author. John R Speakman, Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, China. E-mail:
| | - Joel K Elmquist
- Joel K. Elmquist, Departments of Internal Medicine and Pharmacology, Center for Hypothalamic Research, University of Texas Southwestern, 5323 Harry Hines blvd., Dallas, TX 75390, USA. E-mail:
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Ji M, An R. Parenting Styles in Relation to Childhood Obesity, Smoking and Drinking: A Gene-Environment Interaction Study. J Hum Nutr Diet 2022; 35:625-633. [PMID: 35665546 DOI: 10.1111/jhn.13045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 05/27/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES This study assessed gene-environment interactions linking maternal parenting styles to childhood obesity and alcohol and tobacco use. METHODS Data was retrieved from the first wave of the German Twin Family Panel. Participants comprised 3 birth cohorts aged 5, 11, and 17 years, with approximately 500 pairs of same-sex monozygotic twins and 500 pairs of same-sex dizygotic twins per cohort. Self-reported parenting styles were measured in 5 dimensions: emotional warmth, psychological control, negative communication, monitoring, and inconsistent parenting. Outcome variables included children's body mass index z-score (BMIz) and smoking and alcohol drinking frequency. Gene-environment interaction models were used to assess how parenting styles might moderate genetic and environmental influences on BMIz and smoking and drinking behaviors. RESULTS A positive interaction of genetic effects with psychological control was found for BMIz at age 5, indicating that genetic influences on BMIz increased with psychological control. No interaction effect was found for BMIz at age 11 and 17. Regarding adolescent smoking, positive interaction between genetic effects and negative communication was found, indicating that genetic influences on smoking increased with negative communication. There was no significant moderating effect of parenting styles on adolescent drinking. CONCLUSIONS This study found some preliminary evidence that parenting styles moderated genetic and environmental impacts on body weight status and smoking. Moderation effects of parenting on BMIz were observed only at a very young age. The moderating effects of parenting influenced adolescent smoking but not drinking. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Mengmeng Ji
- Washington University School of Medicine, St. Louis, MO, USA
| | - Ruopeng An
- Brown School, Washington University, St. Louis, MO, USA
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Time to Consider the “Exposome Hypothesis” in the Development of the Obesity Pandemic. Nutrients 2022; 14:nu14081597. [PMID: 35458158 PMCID: PMC9032727 DOI: 10.3390/nu14081597] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/04/2022] [Accepted: 04/08/2022] [Indexed: 02/04/2023] Open
Abstract
The obesity epidemic shows no signs of abatement. Genetics and overnutrition together with a dramatic decline in physical activity are the alleged main causes for this pandemic. While they undoubtedly represent the main contributors to the obesity problem, they are not able to fully explain all cases and current trends. In this context, a body of knowledge related to exposure to as yet underappreciated obesogenic factors, which can be referred to as the “exposome”, merits detailed analysis. Contrarily to the genome, the “exposome” is subject to a great dynamism and variability, which unfolds throughout the individual’s lifetime. The development of precise ways of capturing the full exposure spectrum of a person is extraordinarily demanding. Data derived from epidemiological studies linking excess weight with elevated ambient temperatures, in utero, and intergenerational effects as well as epigenetics, microorganisms, microbiota, sleep curtailment, and endocrine disruptors, among others, suggests the possibility that they may work alone or synergistically as several alternative putative contributors to this global epidemic. This narrative review reports the available evidence on as yet underappreciated drivers of the obesity epidemic. Broadly based interventions are needed to better identify these drivers at the same time as stimulating reflection on the potential relevance of the “exposome” in the development and perpetuation of the obesity epidemic.
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8
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BMI and dissatisfaction with life: contextual factors and socioemotional costs of obesity. Qual Life Res 2021; 31:1167-1177. [PMID: 34152575 PMCID: PMC8960616 DOI: 10.1007/s11136-021-02912-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2021] [Indexed: 11/09/2022]
Abstract
Purpose In this study, we investigate whether individuals’ BMI categories are associated with being dissatisfied with one’s life, how this association is affected by the social comparison that individuals make, and what the role of the overall BMI levels in this process is. Methods We use data for 21,577 men and 27,415 women, collected in 2016 by the European Bank for Reconstruction and Development, from 34 countries in Europe, the Middle East, and Central Asia. To understand the moderating effect of contextual environment, we use multilevel mixed effect logistic regression models and data for national, regional, and cohort-specific BMI levels. Result We find that the association of BMI and dissatisfaction with life differs by gender, with overweight men being less likely to be dissatisfied with life than men with normal weight and obese women being more likely to be dissatisfied with life compared to women with normal weight. For contextual effects, we find that obese women in regions with low BMI levels are more likely to be dissatisfied with life. The effect of obesity on female life dissatisfaction is not observed in regions with high BMI levels. As for men, regional BMI levels affect the levels of life dissatisfaction but only for underweight men. Conclusions Our study adds additional nuance to the quality-of-life research by showing that the association between BMI and decreased life satisfaction is, at least partially, moderated by the contextual environment, and that the character of these effects differs by gender. Supplementary Information The online version contains supplementary material available at 10.1007/s11136-021-02912-3.
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Castro FN, Hattori WT, Gaulin SJC, Yamamoto ME, Lopes FDA. Male Mating Expectations in Brazilian and American Samples. Front Psychol 2021; 12:617754. [PMID: 33643146 PMCID: PMC7902785 DOI: 10.3389/fpsyg.2021.617754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/20/2021] [Indexed: 11/13/2022] Open
Abstract
This study aims to investigate assortative mating based on mate value from male perspective. Male participants (132 Brazilian and 106 American) evaluated hypothetical “stimulus” males described in terms of physical attractiveness, social skills, and social status (each varied in high or low levels). Participants rated each stimulus and each stimulus' preferred mating partner on nine traits. The results showed that (1) positive assortative mating was expected in romantic relationships; (2) the stimulus ratings did not vary independently, suggesting that mate value is the result of the interaction of the characteristics of individuals; and (3) that participants expected physically attractive and healthier female partners to pair with high-status male stimuli. The American and Brazilian mating expectations were similar, minor differences indicate that Brazilian participants considered men with high levels of social skills to be more ambitious and intelligent; American participants expected men of high status to be healthier; Brazilians expect men of high status to have more attractive faces, while Americans expected these men to possess more attractive bodies; and Brazilian participants assigned more attractive bodies to men of lower status. These differences reflect the influence of economic and cultural factors on the local environment. The study contributes to the understanding of the construction of market value and reveals that male expectations are in line with human mating preferences. The investigation of mating expectations can be a rich approach to investigate socio-cultural aspects that are related to mating in different cultures
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Affiliation(s)
- Felipe Nalon Castro
- Human Behavior Evolution Laboratory, Psychobiology Postgraduate Program, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Wallisen Tadashi Hattori
- Department of Public Health, Faculty of Medicine, Federal University of Uberlândia, Uberlândia, Brazil
| | - Steven J C Gaulin
- Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, United States
| | - Maria Emília Yamamoto
- Human Behavior Evolution Laboratory, Psychobiology Postgraduate Program, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Fívia de Araújo Lopes
- Human Behavior Evolution Laboratory, Psychobiology Postgraduate Program, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
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Dobersek U, Stallings B, Wy GC, Case CR, Maner JK. Does Exercise Make Me More Attractive? Exploring the Relations Between Exercise and Mate Value. EVOLUTIONARY PSYCHOLOGICAL SCIENCE 2020. [DOI: 10.1007/s40806-020-00270-w] [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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11
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Spousal metabolic risk factors and future cardiovascular events: A prospective cohort study. Atherosclerosis 2020; 298:36-41. [DOI: 10.1016/j.atherosclerosis.2020.02.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 02/15/2020] [Accepted: 02/27/2020] [Indexed: 01/21/2023]
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Kabootari M, Hasheminia M, Guity K, Ramezankhani A, Azizi F, Hadaegh F. Gestational diabetes mellitus in mothers and long term cardiovascular disease in both parents: Results of over a decade follow-up of the Iranian population. Atherosclerosis 2019; 288:94-100. [PMID: 31352273 DOI: 10.1016/j.atherosclerosis.2019.07.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 06/27/2019] [Accepted: 07/17/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND AND AIMS We aimed at evaluating whether the presence of gestational diabetes mellitus (GDM) in mothers is associated with increased risk of incident cardiovascular disease (CVD) in both mothers and fathers. METHODS In this population-based study, 4308 Iranian women, aged 18-64 years, with at least 1 live-birth delivery, and free of CVD at baseline, were followed. Corresponding spouses were identified in 2547 cases. The association between history of GDM and incident CVD was assessed using multivariate Cox's proportional hazard in 3 models: model 1, unadjusted; model 2, adjusted for age, body mass index, smoking (for men), maternal parity, miscarriage, physical activity, hypertension and hypercholesterolemia, and model 3, further adjusted for diabetes mellitus. RESULTS After a median follow-up of 14.1 years, 314 mothers and 424 fathers experienced CVD. Women with history of GDM had an adjusted hazard ratio (HR), 95% CI of 1.85 (1.38-2.48) and 1.29 (0.96-1.75) for CVD in models 1 and 2, respectively. Furthermore, an independent association with CVD was observed in fathers with an adjusted HR of 1.35 (1.02-1.79) in the confounder adjusted model and even after further controlling for diabetes [1.36 (1.03-1.80)]. Moreover, all traditional risk factors, excluding BMI, showed an independent risk for CVD in both genders. CONCLUSIONS Women with prior GDM showed an increased risk of CVD that was not independent of important CVD risk factors. However, among men, spousal history of GDM was an independent risk factor for incident CVD, even after considering important traditional risk factors, including diabetes.
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Affiliation(s)
- Maryam Kabootari
- Metabolic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Murray RL, Gwynne DT, Bussière LF. The role of functional constraints in nonrandom mating patterns for a dance fly with female ornaments. J Evol Biol 2019; 32:984-993. [DOI: 10.1111/jeb.13500] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/10/2019] [Accepted: 06/14/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Rosalind L. Murray
- Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada
- Biology Department University of Toronto at Mississauga Mississauga Ontario Canada
- Biological and Environmental Sciences University of Stirling Stirling UK
| | - Darryl T. Gwynne
- Biology Department University of Toronto at Mississauga Mississauga Ontario Canada
| | - Luc F. Bussière
- Biological and Environmental Sciences University of Stirling Stirling UK
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Abstract
Human obesity has a large genetic component, yet has many serious negative consequences. How this state of affairs has evolved has generated wide debate. The thrifty gene hypothesis was the first attempt to explain obesity as a consequence of adaptive responses to an ancient environment that in modern society become disadvantageous. The idea is that genes (or more precisely, alleles) predisposing to obesity may have been selected for by repeated exposure to famines. However, this idea has many flaws: for instance, selection of the supposed magnitude over the duration of human evolution would fix any thrifty alleles (famines kill the old and young, not the obese) and there is no evidence that hunter-gatherer populations become obese between famines. An alternative idea (called thrifty late) is that selection in famines has only happened since the agricultural revolution. However, this is inconsistent with the absence of strong signatures of selection at single nucleotide polymorphisms linked to obesity. In parallel to discussions about the origin of obesity, there has been much debate regarding the regulation of body weight. There are three basic models: the set-point, settling point and dual-intervention point models. Selection might act against low and high levels of adiposity because food unpredictability and the risk of starvation selects against low adiposity whereas the risk of predation selects against high adiposity. Although evidence for the latter is quite strong, evidence for the former is relatively weak. The release from predation ∼2-million years ago is suggested to have led to the upper intervention point drifting in evolutionary time, leading to the modern distribution of obesity: the drifty gene hypothesis. Recent critiques of the dual-intervention point/drifty gene idea are flawed and inconsistent with known aspects of energy balance physiology. Here, I present a new formulation of the dual-intervention point model. This model includes the novel suggestion that food unpredictability and starvation are insignificant factors driving fat storage, and that the main force driving up fat storage is the risk of disease and the need to survive periods of pathogen-induced anorexia. This model shows why two independent intervention points are more likely to evolve than a single set point. The molecular basis of the lower intervention point is likely based around the leptin pathway signalling. Determining the molecular basis of the upper intervention point is a crucial key target for future obesity research. A potential definitive test to separate the different models is also described.
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Affiliation(s)
- John R Speakman
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China .,Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK
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Gorin AA, Lenz EM, Cornelius T, Huedo‐Medina T, Wojtanowski AC, Foster GD. Randomized Controlled Trial Examining the Ripple Effect of a Nationally Available Weight Management Program on Untreated Spouses. Obesity (Silver Spring) 2018; 26:499-504. [PMID: 29388385 PMCID: PMC5838794 DOI: 10.1002/oby.22098] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 11/09/2017] [Accepted: 11/10/2017] [Indexed: 11/10/2022]
Abstract
OBJECTIVE For married couples, when one spouse participates in weight loss treatment, the untreated spouse can also experience weight loss. This study examined this ripple effect in a nationally available weight management program. METHODS One hundred thirty dyads were randomized to Weight Watchers (WW; n = 65) or to a self-guided control group (SG; n = 65) and assessed at 0, 3, and 6 months. Inclusion criteria were age ≥ 25 years, BMI 27 to 40 kg/m2 (≥ 25 kg/m2 for untreated spouses), and no weight loss contraindications. WW participants received 6 months of free access to in-person meetings and online tools. SG participants received a weight loss handout. Spouses did not receive treatment. RESULTS Untreated spouses lost weight at 3 months (WW = -1.5 ± 2.9 kg; SG = -1.1 ± 3.3 kg) and 6 months (WW = -2.2 ± 4.2 kg; SG = -1.9 ± 3.6 kg), but weight losses did not differ by condition. Overall, 32.0% of untreated spouses lost ≥ 3% of initial body weight by 6 months. Baseline weight was significantly correlated within couples (r = 0.26; P < 0.01) as were weight loss trajectories (r = 0.52; P < 0.001). CONCLUSIONS Evidence of a ripple effect was found in untreated spouses in both formal and self-guided weight management approaches. These data suggest that weight loss can spread within couples, and that widely available lifestyle programs have weight loss effects beyond the treated individual.
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Affiliation(s)
- Amy A. Gorin
- Department of Psychological Sciences and the Institute for Collaboration on Health, Intervention, and PolicyUniversity of ConnecticutStorrsConnecticutUSA
| | - Erin M. Lenz
- Department of Psychological Sciences and the Institute for Collaboration on Health, Intervention, and PolicyUniversity of ConnecticutStorrsConnecticutUSA
| | - Talea Cornelius
- Department of Psychological Sciences and the Institute for Collaboration on Health, Intervention, and PolicyUniversity of ConnecticutStorrsConnecticutUSA
| | - Tania Huedo‐Medina
- Department of Allied Health SciencesUniversity of ConnecticutStorrsConnecticutUSA
| | | | - Gary D. Foster
- Weight Watchers International, Inc.New YorkNew YorkUSA
- Center for Weight and Eating DisordersUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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16
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Wang G, Ekeleme-Egedigwe CA, El Hamdouchi A, Sauciuvenaite J, Bissland R, Djafarian K, Ojiambo R, Ramuth H, Holasek S, Lackner S, Diouf A, Hambly C, Vaanholt LM, Cao M, Hacker M, Kruger HS, Seru T, Faries MD, Speakman JR. Beauty and the Body of the Beholder: Raters' BMI Has Only Limited Association with Ratings of Attractiveness of the Opposite Sex. Obesity (Silver Spring) 2018; 26:522-530. [PMID: 29464908 DOI: 10.1002/oby.22092] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 10/26/2017] [Accepted: 11/13/2017] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Assortative mating for adiposity increases the genetic burden on offspring, but its causes remain unclear. One hypothesis is that people who have high adiposity find other people with obesity more physically attractive than lean people. METHODS The attractiveness of sets of images of males and females who varied in adiposity were rated by opposite sex subjects (559 males and 340 females) across 12 countries. RESULTS There was tremendous individual variability in attractiveness ratings. For female attractiveness, most males favored the leanest subjects, but others favored intermediate fatness, some were indifferent to body composition, and others rated the subjects with obesity as most attractive. For male images rated by females, the patterns were more complex. Most females favored subjects with low levels of adiposity (but not the lowest level), whereas others were indifferent to body fatness or rated the images depicting individuals with obesity as the most attractive. These patterns were unrelated to rater BMI. Among Caucasian males who rated the images of the thinnest females as being more attractive, the magnitude of the effect depended on rater BMI, indicating limited "mutual attraction." CONCLUSIONS Individual variations in ratings of physical attractiveness were broadly unrelated to rater BMI and suggest that mutual attraction is an unlikely explanation for assortative mating for obesity.
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Affiliation(s)
- Guanlin Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Chima A Ekeleme-Egedigwe
- Department of Chemistry/Biochemistry and Molecular Biology, Faculty of Science, Federal University Ndufu Alike lkwo, Abakaliki, Ebonyi State, Nigeria
| | - Asmaa El Hamdouchi
- National Energy Center of Nuclear Science and Technology (CNESTEN), Joint Research Unit of Nutrition and Food, CNESTEN-Ibn Tofail University, Rabat, Morocco
| | - Justina Sauciuvenaite
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Ruth Bissland
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Kurosh Djafarian
- Department of Clinical Nutrition, Tehran University of Medical Sciences, Tehran, Iran
| | - Robert Ojiambo
- Medical Physiology Department, College of Health Science, School of Medicine, Moi University, Eldoret, Kenya
| | - Harris Ramuth
- Biochemistry Department, Central Health Laboratory Services, Ministry of Health and Quality of Life, Port Louis, Mauritius
| | - Sandra Holasek
- Center of Molecular Medicine, Institute of Pathophysiology and Immunology, Medical University Graz, Graz, Austria
| | - Sonja Lackner
- Center of Molecular Medicine, Institute of Pathophysiology and Immunology, Medical University Graz, Graz, Austria
| | - Adama Diouf
- Laboratory of Nutrition, Department of Animal Biology, Faculty of Sciences and Technology, University Cheikh Anta Diop of Dakar, Dakar, Senegal
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Lobke M Vaanholt
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Minxuan Cao
- Department of Biology, Mount Holyoke College, South Hadley, Massachusetts, USA
| | - Megan Hacker
- Department of Sports Medicine, Stephen F. Austin State University, Nacogdoches, Texas, USA
| | - Herculina S Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Tumelo Seru
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Mark D Faries
- Family and Community Health Unit, Texas A&M AgriLife Extension Service, College Station, Texas, USA
- Department of Humanities in Medicine, College of Medicine, Texas A&M Health Science Center, Texas A&M University, Bryan, Texas, USA
| | - John R Speakman
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
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17
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Qasim A, Turcotte M, de Souza RJ, Samaan MC, Champredon D, Dushoff J, Speakman JR, Meyre D. On the origin of obesity: identifying the biological, environmental and cultural drivers of genetic risk among human populations. Obes Rev 2018; 19:121-149. [PMID: 29144594 DOI: 10.1111/obr.12625] [Citation(s) in RCA: 125] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 08/28/2017] [Accepted: 09/08/2017] [Indexed: 12/12/2022]
Abstract
Genetic predisposition to obesity presents a paradox: how do genetic variants with a detrimental impact on human health persist through evolutionary time? Numerous hypotheses, such as the thrifty genotype hypothesis, attempt to explain this phenomenon yet fail to provide a justification for the modern obesity epidemic. In this critical review, we appraise existing theories explaining the evolutionary origins of obesity and explore novel biological and sociocultural agents of evolutionary change to help explain the modern-day distribution of obesity-predisposing variants. Genetic drift, acting as a form of 'blind justice,' may randomly affect allele frequencies across generations while gene pleiotropy and adaptations to diverse environments may explain the rise and subsequent selection of obesity risk alleles. As an adaptive response, epigenetic regulation of gene expression may impact the manifestation of genetic predisposition to obesity. Finally, exposure to malnutrition and disease epidemics in the wake of oppressive social systems, culturally mediated notions of attractiveness and desirability, and diverse mating systems may play a role in shaping the human genome. As an important first step towards the identification of important drivers of obesity gene evolution, this review may inform empirical research focused on testing evolutionary theories by way of population genetics and mathematical modelling.
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Affiliation(s)
- A Qasim
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - M Turcotte
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - R J de Souza
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - M C Samaan
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.,Department of Pediatrics, McMaster University, Hamilton, ON, Canada.,Division of Pediatric Endocrinology, McMaster Children's Hospital, Hamilton, ON, Canada
| | - D Champredon
- Department of Biology, McMaster University, Hamilton, ON, Canada.,Agent-Based Modelling Laboratory, York University, Toronto, ON, Canada
| | - J Dushoff
- Department of Biology, McMaster University, Hamilton, ON, Canada
| | - J R Speakman
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK.,State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - D Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
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18
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Huber S, Fieder M. Mutual compensation of the effects of religious and ethnic homogamy on reproduction. Am J Hum Biol 2017; 30. [PMID: 28960565 DOI: 10.1002/ajhb.23064] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 08/20/2017] [Accepted: 09/02/2017] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Homogamy, mating based on similarity, has been demonstrated for a great variety of traits such as age, education, religion, and physical and psychological traits. Recently, pro-fertile effects of religious as well as educational homogamy have been reported. We investigate whether ethnic homogamy also has a pro-fertile effect and whether ethnic and religious homogamy interact in their putative effects on reproduction (in terms of average number of offspring). METHODS We analyzed the association between ethnic as well as religious homogamy and woman's average number of offspring based on census data from ten countries provided by IPUMS international, encompassing a total of 1,485,433 married women aged 46-60 years (who have thus completed or almost completed reproduction) and their spouses. RESULTS We find a clear pro-fertile but nonadditive effect of both ethnic and religious homogamy, which is most pronounced in the case of double homogamy. Our results further indicate that homogamy for one trait may compensate for heterogamy of the other, albeit countries differ regarding which trait compensates for the other. CONCLUSIONS We suggest that the interaction between ethnic homogamy, religious homogamy, and reproduction provides an interesting example for gene-culture co-evolution.
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Affiliation(s)
- Susanne Huber
- Department of Anthropology, University of Vienna, Vienna, 1090, Austria
| | - Martin Fieder
- Department of Anthropology, University of Vienna, Vienna, 1090, Austria
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19
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Familial Resemblance in Dietary Intakes of Children, Adolescents, and Parents: Does Dietary Quality Play a Role? Nutrients 2017; 9:nu9080892. [PMID: 28817074 PMCID: PMC5579685 DOI: 10.3390/nu9080892] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 08/10/2017] [Accepted: 08/13/2017] [Indexed: 11/21/2022] Open
Abstract
Information on familial resemblance is important for the design of effective family-based interventions. We aimed to quantify familial correlations and estimate the proportion of variation attributable to genetic and shared environmental effects (i.e., familiality) for dietary intake variables and determine whether they vary by generation, sex, dietary quality, or by the age of the children. The study sample consisted of 1435 families (1007 mothers, 438 fathers, 1035 daughters, and 1080 sons) from the multi-center I.Family study. Dietary intake was assessed in parents and their 2–19 years old children using repeated 24-h dietary recalls, from which the usual energy and food intakes were estimated with the U.S. National Cancer Institute Method. Food items were categorized as healthy or unhealthy based on their sugar, fat, and fiber content. Interclass and intraclass correlations were calculated for relative pairs. Familiality was estimated using variance component methods. Parent–offspring (r = 0.11–0.33), sibling (r = 0.21–0.43), and spouse (r = 0.15–0.33) correlations were modest. Parent–offspring correlations were stronger for the intake of healthy (r = 0.33) than unhealthy (r = 0.10) foods. Familiality estimates were 61% (95% CI: 54–68%) for the intake of fruit and vegetables and the sum of healthy foods and only 30% (95% CI: 23–38%) for the sum of unhealthy foods. Familial factors explained a larger proportion of the variance in healthy food intake (71%; 95% CI: 62–81%) in younger children below the age of 11 than in older children equal or above the age of 11 (48%; 95% CI: 38–58%). Factors shared by family members such as genetics and/or the shared home environment play a stronger role in shaping children’s intake of healthy foods than unhealthy foods. This suggests that family-based interventions are likely to have greater effects when targeting healthy food choices and families with younger children, and that other sorts of intervention are needed to address the intake of unhealthy foods by children.
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20
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Luo S. Assortative mating and couple similarity: Patterns, mechanisms, and consequences. SOCIAL AND PERSONALITY PSYCHOLOGY COMPASS 2017. [DOI: 10.1111/spc3.12337] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- S. Luo
- University of North Carolina at Wilmington
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21
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Heart rate variability reactivity and new romance: Cause or consequence? Biol Psychol 2017; 128:50-54. [PMID: 28705750 DOI: 10.1016/j.biopsycho.2017.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 02/17/2017] [Accepted: 07/09/2017] [Indexed: 11/21/2022]
Abstract
There are documented physiological differences between single and coupled individuals during the "honeymoon period" of nascent romantic relationships. One such difference is in autonomic reactivity, specifically heart rate variability (HRV) reactivity. This finding had previously been interpreted as evidence of a stress buffering effect of relationship formation. The present study explored among university women two competing longitudinal hypotheses conceptualizing differences in HRV reactivity as either a cause or a consequence of romantic relationship formation. Results did not support the hypothesis that HRV reactivity changes as a consequence of beginning a new romantic relationship. Instead, lower HRV reactivity predicted greater relationship formation amongst women with low BMI and higher resting HRV. The functioning of the heart therefore predicted the likelihood that an individual would find love. These interactions may be the result of differing success rates of various mating strategies for women with low and high BMI and HRV.
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22
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Vala CH, Odén A, Lorentzon M, Sundh V, Johansson H, Karlsson M, Rosengren B, Ohlsson C, Johansson B, Kanis J, Mellström D. Increased risk of hip fracture among spouses-evidence of a homogamy effect. Osteoporos Int 2017; 28:95-102. [PMID: 27585578 PMCID: PMC5206252 DOI: 10.1007/s00198-016-3738-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 08/10/2016] [Indexed: 12/22/2022]
Abstract
UNLABELLED Spouses tend to share habits and therefore have an increased risk of same diseases. We followed all married couples in Sweden, born 1902 to 1942, in hospital records from 1987 to 2002, and found that individuals whose spouse had a hip fracture had an increased risk of hip fracture. INTRODUCTION The purpose of this study was to determine whether spouses of hip fracture patients have an elevated risk of hip fracture. METHODS We performed a retrospective cohort study of all couples married for at least 5 years in Sweden and born between 1902 and 1942 (n = 904,451) and all patients registered with a hip fracture (n = 218,285) in the National Inpatients Register in Sweden from 1987 to 2002. RESULTS During the period 1987 to 2002 hip fractures occurred among spouses in 4212 married couples. The hazard ratio (HR) for hip fracture in a married woman following hip fracture in the husband was 1.11 (95 % confidence interval 1.07 to 1.16) compared to a woman whose husband did not have hip fracture. The corresponding HR for a married man was 1.20 (1.15 to 1.26) compared to a man whose wife did not have hip fracture. The risk was significantly elevated over the age range 60 to 90 years. The increased risk for hip fracture among spouses remained after adjustments for income, education, geographical latitude and urbanisation. In a common model with spouses and their siblings, the HR for spousal effect were 1.63 (1.01 to 2.64) and for sibling effect 2.18 (1.55 to 3.06) compared to married with spouse and sibling respectively without hip fracture. CONCLUSION The novel finding of an increased risk for hip fracture among spouses provides evidence indicating that there is a homogamy effect due to common social and lifestyle factors but could also be due to assortative mating.
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Affiliation(s)
- C H Vala
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden
| | - A Odén
- Department of Biostatics, Chalmers University, 412 58, Gothenburg, Sweden
| | - M Lorentzon
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - V Sundh
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden
| | - H Johansson
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden
| | - M Karlsson
- Department of Orthopedics and Clinical Sciences, Skåne University Hospital, Lund University, 205 02, Malmö, Sweden
| | - B Rosengren
- Department of Orthopedics and Clinical Sciences, Skåne University Hospital, Lund University, 205 02, Malmö, Sweden
| | - C Ohlsson
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - B Johansson
- Department of Psychology, University of Gothenburg, 405 30, Gothenburg, Sweden
| | - J Kanis
- Centre for Metabolic Bone Disease, Medical School, University of Sheffield, Sheffield, S10 2RX, UK
| | - D Mellström
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden.
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden.
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23
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Perkins JM, Lee HY, James KS, Oh J, Krishna A, Heo J, Lee JK, Subramanian SV. Marital status, widowhood duration, gender and health outcomes: a cross-sectional study among older adults in India. BMC Public Health 2016; 16:1032. [PMID: 27716203 PMCID: PMC5045657 DOI: 10.1186/s12889-016-3682-9] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 09/19/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous research has demonstrated health benefits of marriage and the potential for worse outcomes during widowhood in some populations. However, few studies have assessed the relevance of widowhood and widowhood duration to a variety of health-related outcomes and chronic diseases among older adults in India, and even fewer have examined these relationships stratified by gender. METHODS Using a cross-sectional representative sample of 9,615 adults aged 60 years or older from 7 states in diverse regions of India, we examine the relationship between widowhood and self-rated health, psychological distress, cognitive ability, and four chronic diseases before and after adjusting for demographic characteristics, socioeconomic status, living with children, and rural-urban location for men and women, separately. We then assess these associations when widowhood accounts for duration. RESULTS Being widowed as opposed to married was associated with worse health outcomes for women after adjusting for other explanatory factors. Widowhood in general was not associated with any outcomes for men except for cognitive ability, though men who were widowed within 0-4 years were at greater risk for diabetes compared to married men. Moreover, recently widowed women and women who were widowed long-term were more likely to experience psychological distress, worse self-rated health, and hypertension, even after adjusting for other explanatory variables, whereas women widowed 5-9 years were not, compared to married women. CONCLUSIONS Gender, the duration of widowhood, and type of outcome are each relevant pieces of information when assessing the potential for widowhood to negatively impact health. Future research should explore how the mechanisms linking widowhood to health vary over the course of widowhood. Incorporating information about marital relationships into the design of intervention programs may help better target potential beneficiaries among older adults in India.
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Affiliation(s)
- Jessica M Perkins
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Massachusetts Center for Global Health, Massachusetts General Hospital, Boston, MA, USA
| | - Hwa-Young Lee
- JW LEE Center for Global Medicine, Seoul National University College of Medicine, 71 Ihwajang-gil, Jongno-gu, Seoul, 110-810, Korea
| | - K S James
- Jawaharlal Nehru University, New Delhi, India
| | - Juhwan Oh
- JW LEE Center for Global Medicine, Seoul National University College of Medicine, 71 Ihwajang-gil, Jongno-gu, Seoul, 110-810, Korea
| | - Aditi Krishna
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jongho Heo
- JW LEE Center for Global Medicine, Seoul National University College of Medicine, 71 Ihwajang-gil, Jongno-gu, Seoul, 110-810, Korea.,Public Health Joint Doctoral Program, San Diego State University & University of California, San Diego, CA, USA
| | - Jong-Koo Lee
- JW LEE Center for Global Medicine, Seoul National University College of Medicine, 71 Ihwajang-gil, Jongno-gu, Seoul, 110-810, Korea. .,Department of Family Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - S V Subramanian
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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24
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Gillette MT, Lohman BJ, Neppl TK. Lower levels of maternal capital in early life predict offspring obesity in adulthood. Ann Hum Biol 2016; 44:252-260. [DOI: 10.1080/03014460.2016.1213314] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Meghan T. Gillette
- Department of Human Development and Family Studies, Iowa State University, Ames, IA, USA
| | - Brenda J. Lohman
- Department of Human Development and Family Studies, Iowa State University, Ames, IA, USA
| | - Tricia K. Neppl
- Department of Human Development and Family Studies, Iowa State University, Ames, IA, USA
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25
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Fieder M, Huber S. The association between religious homogamy and reproduction. Proc Biol Sci 2016; 283:20160294. [PMID: 27412283 PMCID: PMC4947882 DOI: 10.1098/rspb.2016.0294] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Accepted: 06/20/2016] [Indexed: 12/25/2022] Open
Abstract
Individuals more strongly affiliated to religion have on average more children than less religious ones. Here, based on census data of 3 658 650 women aged 46-60 years from 32 countries provided by IPUMS International and data from the Wisconsin Longitudinal Study (n = 2400 women, aged 53-57 years), we show that religious homogamy is also associated with higher reproduction in terms of a higher number of children and a lower chance of remaining childless. We argue that, together with the relationship between general religious intensity and number of children, religious homogamy has reproductive consequences. These may impact future demographic developments and could have also played a role in the biological evolution of humans.
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Affiliation(s)
- Martin Fieder
- Department of Anthropology, University of Vienna, Althanstr. 14, 1090 Vienna, Austria
| | - Susanne Huber
- Department of Anthropology, University of Vienna, Althanstr. 14, 1090 Vienna, Austria
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26
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Devakumar D, Grijalva-Eternod C, Cortina-Borja M, Williams J, Fewtrell M, Wells J. Disentangling the associations between parental BMI and offspring body composition using the four-component model. Am J Hum Biol 2016; 28:524-33. [PMID: 26848813 PMCID: PMC4957621 DOI: 10.1002/ajhb.22825] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 08/15/2015] [Accepted: 12/08/2015] [Indexed: 12/12/2022] Open
Abstract
Objectives This study sets out to investigate the intergenerational associations between the body mass index (BMI) of parents and the body composition of their offspring. Methods The cross‐sectional data were analyzed for 511 parent–offspring trios from London and south‐east England. The offspring were aged 5–21 years. Parental BMI was obtained by recall and offspring fat mass and lean mass were obtained using the four‐component model. Multivariable regression analysis, with multiple imputation for missing paternal values was used. Sensitivity analyses for levels of non‐paternity were conducted. Results A positive association was seen between parental BMI and offspring BMI, fat mass index (FMI), and lean mass index (LMI). The mother's BMI was positively associated with the BMI, FMI, and LMI z‐scores of both daughters and sons and of a similar magnitude for both sexes. The father's BMI showed similar associations to the mother's BMI, with his son's BMI, FMI, and LMI z‐scores, but no association with his daughter. Sensitivity tests for non‐paternity showed that maternal coefficients remained greater than paternal coefficients throughout but there was no statistical difference at greater levels of non‐paternity. Conclusions We found variable associations between parental BMI and offspring body composition. Associations were generally stronger for maternal than paternal BMI, and paternal associations appeared to differ between sons and daughters. In this cohort, the mother's BMI was statistically significantly associated with her child's body composition but the father's BMI was only associated with the body composition of his sons. Am. J. Hum. Biol. 28:524–533, 2016. © 2016 The Authors American Journal of Human Biology Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Delan Devakumar
- UCL Institute for Global Health, London, WC1N 1EH, United Kingdom
| | | | - Mario Cortina-Borja
- Clinical Epidemiology, Nutrition and Biostatistics Section, UCL Institute of Child Health, London, WC1N 1EH, United Kingdom
| | - Jane Williams
- Childhood Nutrition Research Centre, UCL Institute of Child Health, London, WC1N 1EH, United Kingdom
| | - Mary Fewtrell
- Childhood Nutrition Research Centre, UCL Institute of Child Health, London, WC1N 1EH, United Kingdom
| | - Jonathan Wells
- Childhood Nutrition Research Centre, UCL Institute of Child Health, London, WC1N 1EH, United Kingdom
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27
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Polotsky AJ, Allshouse AA, Casson PR, Coutifaris C, Diamond MP, Christman GM, Schlaff WD, Alvero R, Trussell JC, Krawetz SA, Santoro N, Eisenberg E, Zhang H, Legro RS. Impact of Male and Female Weight, Smoking, and Intercourse Frequency on Live Birth in Women With Polycystic Ovary Syndrome. J Clin Endocrinol Metab 2015; 100:2405-12. [PMID: 25856211 PMCID: PMC4454812 DOI: 10.1210/jc.2015-1178] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT Obese men with normal semen parameters exhibit reduced fertility but few prospective data are available. OBJECTIVE This study aimed to determine the effect of male factors and body mass among the Pregnancy in Polycystic Ovary Syndrome II (PPCOS II) participants. METHODS This is a secondary analysis of the PPCOS II trial. A total of 750 infertile women with polycystic ovary syndrome (PCOS) were randomly assigned to up to receive five cycles of letrozole or clomiphene citrate. Females were 18-39-years-old and had a male partner with sperm concentration of at least 14 million/mL who consented to regular intercourse. Analysis was limited to couples with complete male partner information (n = 710). RESULTS Male body mass index (BMI) was higher in couples who failed to conceive (29.5 kg/m(2) vs 28.2 kg/m(2); P = .039) as well as those who did not achieve a live birth (29.5 kg/m(2) vs 28.1 kg/m(2); P = .047). At least one partner was obese in 548 couples (77.1%). A total of 261 couples were concordant for obesity (36.8%). After adjustment for female BMI, the association of male BMI with live birth was no longer significant (odds ratio [OR] = 0.85; 95 % confidence interval [CI], 0.68-1.05; P = .13). Couples in which both partners smoked had a lower chance of live birth vs nonsmokers (OR = 0.20; 95 % CI, 0.08-0.52; P = .02), whereas there was not a significant effect of female or male smoking alone. Live birth was more likely in couples with at least three sexual intercourse attempts over the previous 4 weeks (reported at baseline) as opposed to couples with lesser frequency (OR = 4.39; 95 % CI, 1.52-12. 4; P < .01). CONCLUSIONS In this large cohort of obese women with PCOS, effect of male obesity was explained by female BMI. Lower chance of success was seen among couples where both partners smoked. Obesity and smoking are common among women with PCOS and their partners and contribute to a decrease in fertility treatment success.
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Affiliation(s)
- Alex J Polotsky
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Amanda A Allshouse
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Peter R Casson
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Christos Coutifaris
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Michael P Diamond
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Gregory M Christman
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - William D Schlaff
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Ruben Alvero
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - J C Trussell
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Stephen A Krawetz
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Nanette Santoro
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Esther Eisenberg
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Heping Zhang
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
| | - Richard S Legro
- Department of Obstetrics and Gynecology (A.J.P., A.A.A., R.A., N.S.), University of Colorado Denver, Aurora, Colorado 80045; Department of Biostatistics and Informatics (A.A.A.), School of Public Health, University of Colorado Denver, Aurora, Colorado 80045; Department of Obstetrics and Gynecology (P.R.C.), University of Vermont, Burlington, Vermont 05405; Department of Obstetrics and Gynecology (C.C.), Hospital of University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Obstetrics and Gynecology (M.P.D.), GA Regents University, Augusta, Georgia 30912; Department of Obstetrics and Gynecology (G.M.C.), University of Florida Health System, Gainesville, Florida 32610; Department of Obstetrics and Gynecology (W.D.S.), Thomas Jefferson University, Philadelphia, Pennsylvania 19107; Department of Urology (J.C.T.), State University of New York Upstate Medical University, Syracuse, New York 13202; Department of Obstetrics and Gynecology (S.A.K.), Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, Michigan 48201; Eunice Kennedy Shriver National Institute of Child Health and Human Development (E.E.), Bethesda, Maryland 20892; Department of Biostatistics (H.Z.), Yale University School of Public Health, New Haven, Connecticut 06520; and Department of Obstetrics and Gynecology (R.S.L.), Penn State College of Medicine, Hershey, Pennsylvania 17033
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Casazza K, Brown A, Astrup A, Bertz F, Baum C, Brown MB, Dawson J, Durant N, Dutton G, Fields DA, Fontaine KR, Heymsfield S, Levitsky D, Mehta T, Menachemi N, Newby PK, Pate R, Raynor H, Rolls BJ, Sen B, Smith DL, Thomas D, Wansink B, Allison DB. Weighing the Evidence of Common Beliefs in Obesity Research. Crit Rev Food Sci Nutr 2015; 55:2014-53. [PMID: 24950157 PMCID: PMC4272668 DOI: 10.1080/10408398.2014.922044] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Obesity is a topic on which many views are strongly held in the absence of scientific evidence to support those views, and some views are strongly held despite evidence to contradict those views. We refer to the former as "presumptions" and the latter as "myths." Here, we present nine myths and 10 presumptions surrounding the effects of rapid weight loss; setting realistic goals in weight loss therapy; stage of change or readiness to lose weight; physical education classes; breastfeeding; daily self-weighing; genetic contribution to obesity; the "Freshman 15"; food deserts; regularly eating (versus skipping) breakfast; eating close to bedtime; eating more fruits and vegetables; weight cycling (i.e., yo-yo dieting); snacking; built environment; reducing screen time in childhood obesity; portion size; participation in family mealtime; and drinking water as a means of weight loss. For each of these, we describe the belief and present evidence that the belief is widely held or stated, reasons to support the conjecture that the belief might be true, evidence to directly support or refute the belief, and findings from randomized controlled trials, if available. We conclude with a discussion of the implications of these determinations, conjecture on why so many myths and presumptions exist, and suggestions for limiting the spread of these and other unsubstantiated beliefs about the obesity domain.
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Affiliation(s)
- Krista Casazza
- a Department of Nutrition Sciences , University of Alabama at Birmingham , Birmingham , Alabama USA
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Genomic assortative mating in marriages in the United States. PLoS One 2014; 9:e112322. [PMID: 25384046 PMCID: PMC4226554 DOI: 10.1371/journal.pone.0112322] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 09/17/2014] [Indexed: 11/19/2022] Open
Abstract
Assortative mating in phenotype in human marriages has been widely observed. Using genome-wide genotype data from the Framingham Heart study (FHS; number of married couples = 989) and Health Retirement Survey (HRS; number of married couples = 3,474), this study investigates genomic assortative mating in human marriages. Two types of genomic marital correlations are calculated. The first is a correlation specific to a single married couple "averaged" over all available autosomal single-nucleotide polymorphism (SNPs). In FHS, the average married-couple correlation is 0.0018 with p = 3 × 10(-5); in HRS, it is 0.0017 with p = 7.13 × 10(-13). The marital correlation among the positively assorting SNPs is 0.001 (p = .0043) in FHS and 0.015 (p = 1.66 × 10(-24)) in HRS. The sizes of these estimates in FHS and HRS are consistent with what are suggested by the distribution of the allelic combination. The study also estimated SNP-specific correlation "averaged" over all married couples. Suggestive evidence is reported. Future studies need to consider a more general form of genomic assortment, in which different allelic forms in homologous genes and non-homologous genes result in the same phenotype.
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Abstract
Evolution has molded metabolic thrift within humans, a genetic heritage that, when thrust into our modern "obesogenic" environment, creates the current obesity crisis. Modern genetic analysis has identified genetic and epigenetic contributors to obesity, an understanding of which will guide the development of environmental, pharmacologic, and genetic therapeutic interventions.
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Krzyżanowska M, Mascie-Taylor CGN. Educational and social class assortative mating in fertile British couples. Ann Hum Biol 2014; 41:561-7. [PMID: 24720482 DOI: 10.3109/03014460.2014.903996] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Positive assortative mating for education and social position has been widely reported in a number of countries, but very few studies have tested whether or not educational or social class homogamy is related to differential fertility. AIM This study examined the relationship between educational and social class assortative mating and fertility in a British national cohort. SUBJECTS AND METHODS The analyses were based on 7452 husband-wife pairs from the British National Child Development Study (NCDS). RESULTS The mean fertility was 3.22 children per couple; the number of children significantly increased from higher to lower social classes and from the more educated to the less educated. The extent of assortative mating for social class and educational level was related to fertility; as educational assortative mating decreased so did the average number of children, whereas the opposite trend was observed for social class. When assortative mating for education and social class were considered together, educational assortative mating was the more significant predictor of the number of children and educationally homogamous couples had higher fertility independent of their social class assortative mating. CONCLUSIONS The relationship between assortative mating and fertility for education and social class appeared to be acting in the opposite direction.
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Speakman JR. Evolutionary perspectives on the obesity epidemic: adaptive, maladaptive, and neutral viewpoints. Annu Rev Nutr 2014; 33:289-317. [PMID: 23862645 DOI: 10.1146/annurev-nutr-071811-150711] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The prevalence of obesity in modern societies has two major contributory factors-an environmental change that has happened in historical times and a genetic predisposition that has its origins in our evolutionary history. Understanding both aspects is complex. From an evolutionary perspective, three different types of explanation have been proposed. The first is that obesity was once adaptive and enabled us to survive (or sustain fecundity) through periods of famine. People carrying so-called thrifty genes that enabled the efficient storage of energy as fat between famines would be at a selective advantage. In the modern world, however, people who have inherited these genes deposit fat in preparation for a famine that never comes, and the result is widespread obesity. The key problem with this, and any other adaptive scenario, is to understand why, if obesity was historically so advantageous, many people did not inherit these thrifty genes and in modern society are able to remain slim, despite the environmental change favoring fat storage. The second type of explanation is that obesity is not adaptive and may never even have existed in our evolutionary past, but it is favored today as a maladaptive by-product of positive selection on some other trait. An example of this type of explanation is the suggestion that obesity results from variation in brown adipose tissue thermogenesis. Finally, a third class of explanation is that most mutations in the genes that predispose us to obesity are neutral and have been drifting over evolutionary time--so-called drifty genes, leading some individuals to be obesity prone and others obesity resistant. In this article, I review the current evidence for and against these three different scenarios and conclude that the thrifty gene hypothesis is untenable but the other two ideas may provide a cogent explanation of the modern obesity phenomenon.
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Affiliation(s)
- John R Speakman
- Key State Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Chaoyang, Beijing 100101, People's Republic of China.
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Leong A, Rahme E, Dasgupta K. Spousal diabetes as a diabetes risk factor: a systematic review and meta-analysis. BMC Med 2014; 12:12. [PMID: 24460622 PMCID: PMC3900990 DOI: 10.1186/1741-7015-12-12] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Accepted: 12/05/2013] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Diabetes history in biologically-related individuals increases diabetes risk. We assessed diabetes concordance in spouses (that is, biologically unrelated family members) to gauge the importance of socioenvironmental factors. METHODS We selected cross-sectional, case-control and cohort studies examining spousal association for diabetes and/or prediabetes (impaired fasting glucose or impaired glucose tolerance), indexed in Medline, Embase or Scopus (1 January 1997 to 28 February 2013). Effect estimates (that is, odds ratios, incidence rate ratios, and so on) with body mass index (BMI) adjustment were pooled separately from those without BMI adjustment (random effects models) to distinguish BMI-dependent and independent concordance. RESULTS Searches yielded 2,705 articles; six were retained (n = 75,498 couples) for systematic review and five for meta-analysis. Concordance was lowest in a study that relied on women's reports of diabetes in themselves and their spouses (effect estimate 1.1, 95% CI 1.0 to 1.30) and highest in a study with systematic assessment of glucose tolerance (2.11, 95% CI 1.74 to 5.10). The random-effects pooled estimate adjusted for age and other covariates but not BMI was 1.26 (95% CI 1.08 to 1.45). The estimate with BMI adjustment was lower (1.18, 95% CI 0.97 to 1.40). Two studies assessing between-spouse associations of diabetes/prediabetes determined by glucose testing reported high concordance (OR 1.92, 95% CI 1.55 to 2.37 without BMI adjustment; 2.32, 95% CI 1.87 to 3.98 with BMI adjustment). Two studies did not distinguish type 1 and type 2 diabetes. However given that around 95% of adults is type 2, this is unlikely to have influenced the results. CONCLUSIONS Our pooled estimate suggests that a spousal history of diabetes is associated with a 26% diabetes risk increase. Recognizing shared risk between spouses may improve diabetes detection and motivate couples to increase collaborative efforts to optimize eating and physical activity habits.
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Affiliation(s)
| | | | - Kaberi Dasgupta
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
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Surgically induced interpregnancy weight loss and prevalence of overweight and obesity in offspring. PLoS One 2013; 8:e82247. [PMID: 24349234 PMCID: PMC3861408 DOI: 10.1371/journal.pone.0082247] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Accepted: 10/22/2013] [Indexed: 01/14/2023] Open
Abstract
Introduction According to the fetal overnutrition hypothesis, obesity in pregnancy predisposes the offspring to obesity. Previous studies have suggested that after biliopancreatic surgery for obesity, the offspring is less likely to be obese. This study aims to further compare the BMI development of children born before and after maternal surgical weight loss. Method Women with at least one child born before and one child born after bariatric surgery were identified by record-linkage. Information about maternal BMI was extracted from medical records, as was information about the children's BMI from birth to 10 years of age. We retrieved BMI data at four years of age for 340 children, born to 223 women (164 children born before surgery (BS), 176 children born after surgery (AS)). We evaluated prevalence of overweight/obesity and mean BMI in children born BS and AS at the ages of four, six and ten using GEE regression models. For 71 families, where we had complete data on mother and both children, we used a fixed-effects regression model to explore the association between differences in maternal BMI in w10 of the pre- and post-operative pregnancies with siblings' BMI differences at age four. Results In no age group did we see a significantly reduced prevalence of overweight/obesity AS. For 10-year-old girls, the AS group had significantly higher rates of obesity. There was no association between differences in maternal BMI in early pregnancy and differences in siblings' BMI at four years of age (β = −0.01, CI 95% = −0.11; 0.09). Conclusions We have been unable to demonstrate any effect of bariatric surgery on weight development in offspring. It seems unlikely that restrictive bariatric surgery conveys a protective effect in offspring with regards to obesity.
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Fisher CI, Fincher CL, Hahn AC, Little AC, DeBruine LM, Jones BC. Do assortative preferences contribute to assortative mating for adiposity? Br J Psychol 2013; 105:474-85. [PMID: 24168811 PMCID: PMC4282125 DOI: 10.1111/bjop.12055] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Revised: 09/09/2013] [Indexed: 11/30/2022]
Abstract
Assortative mating for adiposity, whereby levels of adiposity in romantic partners tend to be positively correlated, has implications for population health due to the combined effects of partners' levels of adiposity on fertility and/or offspring health. Although assortative preferences for cues of adiposity, whereby leaner people are inherently more attracted to leaner individuals, have been proposed as a factor in assortative mating for adiposity, there have been no direct tests of this issue. Because of this, and because of recent work suggesting that facial cues of adiposity convey information about others' health that may be particularly important for mate preferences, we tested the contribution of assortative preferences for facial cues of adiposity to assortative mating for adiposity (assessed from body mass index, BMI) in a sample of romantic couples. Romantic partners' BMIs were positively correlated and this correlation was not due to the effects of age or relationship duration. However, although men and women with leaner partners showed stronger preferences for cues of low levels of adiposity, controlling for these preferences did not weaken the correlation between partners' BMIs. Indeed, own BMI and preferences were uncorrelated. These results suggest that assortative preferences for facial cues of adiposity contribute little (if at all) to assortative mating for adiposity.
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Affiliation(s)
- Claire I Fisher
- Institute of Neuroscience and Psychology, University of Glasgow, UK
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Dawson JA, Dhurandhar EJ, Vazquez AI, Peng B, Allison DB. Propagation of obesity across generations: the roles of differential realized fertility and assortative mating by body mass index. Hum Hered 2013; 75:204-12. [PMID: 24081235 DOI: 10.1159/000352007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND/AIMS To quantify the extent to which the increase in obesity observed across recent generations of the American population is associated with the individual or combined effects of assortative mating (AM) for body mass index (BMI) and differential realized fertility by BMI. METHODS A Monte Carlo framework is formed and informed using data collected from the National Longitudinal Survey of Youth (NLSY). The model has 2 portions: one that generates childbirth events on an annual basis and another that produces a BMI for each child. Once the model is informed using the data, a reference distribution of offspring BMIs is simulated. We quantify the effects of our factors of interest by removing them from the model and comparing the resulting offspring BMI distributions with that of the baseline scenario. RESULTS An association between maternal BMI and number of offspring is evidenced in the NLSY data as well as the presence of AM. These 2 factors combined are associated with an increased mean BMI (+0.067, 95% CI: 0.056; 0.078), an increased BMI variance (+0.578, 95% CI: 0.418; 0.736) and an increased prevalence of obesity (RR 1.032, 95% CI: 1.023; 1.041) and BMIs >40 (RR 1.083, 95% CI: 1.053; 1.118) among offspring. CONCLUSION Our investigation suggests that both differential realized fertility and AM by BMI appear to play a role in the increasing prevalence of obesity in America.
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Affiliation(s)
- John A Dawson
- Office of Energetics, School of Public Health, University of Alabama at Birmingham, Birmingham, Ala., USA
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Jacobsen BK, Knutsen SF, Oda K, Fraser GE. Body mass index at age 20 and subsequent childbearing: the Adventist Health Study-2. J Womens Health (Larchmt) 2013; 22:460-6. [PMID: 23611121 DOI: 10.1089/jwh.2012.3727] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Some epidemiological, clinical, and laboratory studies suggest that underweight and obesity impact fertility. METHODS This is cross-sectional study of 33,159 North American Adventist women, who were nulliparous at age 20 years and who, as a group, have a healthy lifestyle. Logistic regression analysis was used to assess how body mass index (BMI, kg/m(2)) at age 20 was related to never becoming pregnant, never giving birth to a living child, or not giving birth to a second or third child. RESULTS A total of 4954 (15%) of the women reported never becoming pregnant (nulligravidity) and 7461 (23%) women remained nulliparous. Underweight (BMI<18.5 kg/m(2)) at age 20 was associated with approximately 13% increased risk of nulligravidity or nulliparity. Women with BMI≥32.5 kg/m(2) when aged 20 had 2.5 (95% CI: 2.0, 3.1) times increased odds of nulliparity compared to women with BMI 20-24.9 kg/m(2). Increased risk was found for all groups of overweight women (BMI≥25 kg/m(2)). However, if the women gave birth to one live child after age 20, BMI≥32.5 kg/m(2) at age 20 had less impact (OR 1.6 [95% CI: 1.2, 2.2]) on the likelihood of not delivering a second child. In women who delivered two living children, obesity at age 20 had no bearing on the odds of having a third child. CONCLUSIONS Obesity and, to a lesser extent, underweight at age 20 increases the nulliparity rate. The results underscore the importance of a healthy weight in young women.
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Affiliation(s)
- Bjarne K Jacobsen
- Department of Community Medicine, University of Tromsø, Tromsø, N-9037 Tromsø, Norway.
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Siervo M, Montagnese C, Muscariello E, Evans E, Stephan BCM, Nasti G, Papa A, Iannetti E, Colantuoni A. Weight loss expectations and body dissatisfaction in young women attempting to lose weight. J Hum Nutr Diet 2013; 27 Suppl 2:84-9. [PMID: 23600856 DOI: 10.1111/jhn.12078] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Unrealistic weight loss expectations (WLEs) and greater body dissatisfaction may be associated with the poor long-term outcomes of dietary and lifestyle weight loss treatments. We evaluated the association between body size, WLEs and body dissatisfaction in young women attempting to lose weight. METHODS Forty-four young healthy women [age range 18-35 years, body mass index (BMI) range 23-40 kg/m2] were recruited. Women were classified as obese (BMI ≥ 30.0 kg/m2) and non-obese (BMI <30.0 kg/m2). The Body Dissatisfaction scale of the Eating Disorder Inventory-2 and the Body Image Assessment for Obesity silhouette charts were used to assess body dissatisfaction. WLEs were categorised according to personal (ideal, happiness, satisfaction, weight history), lifestyle (fitness) and social (career, family acceptance, peer acceptance, mass media, social pressure) factors. Individual WLEs were compared with recommended clinical targets (5%, 10% and 20%) for weight loss. RESULTS Body dissatisfaction was lower in non-obese subjects and was directly associated with BMI (P < 0.05). WLEs were directly associated with BMI and the obese group reported greater expectations. Five non-obese subjects (23%) desired to lose more than 20% of their body weight, whereas the proportion was significantly higher in the obese group (17 subjects; 74%). Subjects derived the greatest WLEs from mass media, whereas they perceived that family and friends were supportive of a lesser degree of weight loss. CONCLUSIONS We observed a mismatch between clinical and personal expectations, and social pressure and interpersonal relationships appear to have a prominent role with respect to influencing the association.
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Affiliation(s)
- M Siervo
- Human Nutrition Research Centre, Institute for Ageing and Health, Newcastle University, Newcastle on Tyne, UK
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Obesity at age 20 and the risk of miscarriages, irregular periods and reported problems of becoming pregnant: the Adventist Health Study-2. Eur J Epidemiol 2012; 27:923-31. [PMID: 23224589 PMCID: PMC3539069 DOI: 10.1007/s10654-012-9749-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2012] [Accepted: 11/06/2012] [Indexed: 11/12/2022]
Abstract
In a group of 46,000 North-American Adventist women aged 40 and above, we investigated the relationships between body mass index (BMI, kg/m2) at age 20 and the proportion of women who reported at least one miscarriage, periods with irregular menstruation or failing to become pregnant even if trying for more than one straight year. Approximately 31, 14 and 17 %, respectively, reported the three different problems related to reproduction. Positive age- and marital status adjusted relationships were found between BMI at age 20 and periods with irregular menstruation or failing to become pregnant even if trying for more than 1 year, but not with the risk of miscarriages. Women with BMI ≥ 32.5 kg/m2 when aged 20 had approximately 2.0 (95 % CI: 1.6, 2.4) and 1.5 (95 % CI: 1.3, 1.9) higher odds for irregular periods or failing to get pregnant, respectively, than women with BMI in the 20–24.9 kg/m2 bracket. These relationships were consistently found in a number of strata of the population, including the large proportion of the women who never had smoked or never used alcohol. Underweight (BMI < 18.5 kg/m2) when aged 20 marginally (approximately 15 %) increased the risk of failing to get pregnant within a year. Thus, obesity at age 20 increases the risk of reporting some specific reproductive problems, but not the risk of miscarriages.
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Heitmann BL, Westerterp KR, Loos RJF, Sørensen TIA, O'Dea K, McLean P, Jensen TK, Eisenmann J, Speakman JR, Simpson SJ, Reed DR, Westerterp-Plantenga MS. Obesity: lessons from evolution and the environment. Obes Rev 2012; 13:910-22. [PMID: 22642554 DOI: 10.1111/j.1467-789x.2012.01007.x] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The 9th Stock Conference acknowledged the complex background of genetic, cultural, environmental and evolutionary factors of obesity. Gene-environment interactions underlie the flexibility in body-weight and body-fat regulation, illustrated by the hunter-gatherers' feast and famine lifestyle, the variation in physical activity over the lifespan being highest at reproductive age, the variation in energy intake through 'eating in the absence of hunger', while running the risk of exceeding the capacity of triacylglyceride storage, leading to lipotoxicity and metabolic problems. Perinatal metabolic programming for obesity via epigenetic changes in response to a 'Western diet' results in production of lipid-poor milk and metabolically efficient pups, contributing to the perpetuation of obesity throughout generations. Evolutionary insight from comparative physiology and ecology indicates that over generations activity-induced energy expenditure has remained the same compared to wild mammals, that energy balance might be dependant on protein balance, while the function of taste changed from detection of poison or energy to social drinking and social behaviour. At present, the impact of assortative mating on obesity prevalence is unambiguously positive. The complexity that appeared can only be fully appreciated by setting the data into the context of our evolutionary history.
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Affiliation(s)
- B L Heitmann
- Institute of Preventive Medicine, Centre for Health and Society, Copenhagen University Hospitals, Copenhagen, Denmark
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Kark M, Karnehed N. Weight status at age 18 influences marriage prospects. A population-based study of Swedish men. BMC Public Health 2012; 12:833. [PMID: 23020864 PMCID: PMC3505734 DOI: 10.1186/1471-2458-12-833] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2012] [Accepted: 09/27/2012] [Indexed: 11/28/2022] Open
Abstract
Background In a longitudinal population-based study of the relationship between body mass index (BMI) in early adulthood and marital status at 40 years of age, obese men were half as likely to be married compared with men of normal weight. Significant associations between obesity and marital status among men in a longitudinal setting are novel findings. Methods The study cohort comprised Swedish men born from 1951 to 1961. Height and weight at age 18 was gathered from the Military Service Conscription Register and information on marital status at 40 years of age was obtained from population registers by record-linkage using the unique personal identification number. The odds ratio (OR) for being married was calculated by polytomous logistic regression analysis adjusting for birth year, intellectual performance, education, country of birth, residential area, socioeconomic position in childhood and adulthood, parental education and muscle strength. Results Our study included 486 599 Swedish men. Young men who were obese (BMI≥30.0) at 18 years of age had an OR of 0.49 (95% CI: 0.46–0.52) for being married at 40 years of age compared to normal weight men (BMI: 18.5–24.9). Underweight men (BMI≤18.5) had an OR of 0.84 (0.82–0.86) and overweight men (BMI: 25.0–29.9) had an OR of 0.83 (0.80–0.85) for being married at 40 years of age. Conclusion Underweight, overweight and obese men were less likely to be married than their normal weight counterparts. Obese men had the lowest likelihood of being married. Stigmatization and discrimination may partly explain these findings, but further research is needed before firm conclusions can be drawn.
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Affiliation(s)
- Malin Kark
- Child and Adolescent Public Health Epidemiology Group, Department of Public Health Sciences, Karolinska Institutet, Norrbacka, Stockholm 171 76, Sweden.
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Alberga AS, Sigal RJ, Goldfield G, Prud'homme D, Kenny GP. Overweight and obese teenagers: why is adolescence a critical period? Pediatr Obes 2012; 7:261-73. [PMID: 22461384 DOI: 10.1111/j.2047-6310.2011.00046.x] [Citation(s) in RCA: 204] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2011] [Revised: 11/07/2011] [Accepted: 12/16/2011] [Indexed: 01/19/2023]
Abstract
This paper discusses the critical period of adolescence and its potential role in the development and persistence of obesity. The adolescent years are characteristic of changes in body composition (location and quantity of body fat), physical fitness and decreased insulin sensitivity during puberty. This period of growth and maturation is also marked with behavioural changes in diet, physical activity, sedentary behaviour and psychological health. Physical activity and sport participation decline during adolescence especially in teenage girls, while sedentary behaviour, risk for depression and body esteem issues increase during the teenage years. These physiological and behavioural changes during adolescence warrant the attention of health practitioners to prevent the onset and continuation of obesity throughout the lifespan.
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Affiliation(s)
- A S Alberga
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
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Ajslev TA, Angquist L, Silventoinen K, Gamborg M, Allison DB, Baker JL, Sørensen TIA. Assortative marriages by body mass index have increased simultaneously with the obesity epidemic. Front Genet 2012; 3:125. [PMID: 23056005 PMCID: PMC3458436 DOI: 10.3389/fgene.2012.00125] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2012] [Accepted: 06/21/2012] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The genetic predisposition to obesity may have contributed to the obesity epidemic through assortative mating. We investigated whether spouses were positively assorted by body mass index (BMI; = kg/m(2)) in late childhood, and whether changes in assorted marriage by upper BMI-percentiles occurred during the obesity epidemic. METHODS In the Copenhagen School Health Records Register (CSHRR) boys and girls with measures of BMI at age 13 years later became 37,792 spousal-pairs who married between 1945 and 2010. Trends in the spousal BMI correlations using sex-, age-, and birth cohort-specific BMI z-scores across time were investigated. Odds ratios (ORs) of marriage among spouses both with BMI z-scores >90th or >95th percentile compared with marriage among spouses ≤90th percentile were analyzed for marriages entered during the years prior to (1945-1970), and during the obesity epidemic (1971-2010). FINDINGS Spousal BMI correlations were around 0.05 and stayed similar across time. ORs of marriage among spouses with BMIs >90th percentile at age 13 were 1.21, 1.05-1.39, in 1945-1970, and increased to 1.63, 1.40-1.91, in 1971-2010 (p = 0.006). ORs of marriage among spouses both >95th BMI percentile were higher and increased more; from 1.39, 1.10-1.81, to 2.39, 1.85-3.09 (p = 0.004). INTERPRETATION Spousal correlations by pre-marital BMIs were small and stable during the past 65 years. Yet, there were assorted marriages between spouses with high BMI at age 13 years and the tendency increased alongside with the obesity epidemic which may increase the offsprings' predisposition to obesity.
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Affiliation(s)
- Teresa A Ajslev
- Institute of Preventive Medicine, Copenhagen University Hospital Copenhagen, Denmark
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Cizza G, Rother KI. Beyond fast food and slow motion: weighty contributors to the obesity epidemic. J Endocrinol Invest 2012; 35:236-42. [PMID: 22183119 PMCID: PMC3485680 DOI: 10.3275/8182] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Decreased physical activity and marketing-driven increased consumption of "junk" food, dubbed "The Big Two", are generally regarded as the most important contributors to the obesity epidemic. However, the full picture contains many more pieces of the puzzle. We address several additional issues and review current clinical developments in obesity research. In spite of dramatic advancements in our understanding of the adipose organ and its endocrine and immune products, the ultimate causes of the obesity epidemic remain elusive. Treatment is plagued by poor adherence to life style modifications, and available pharmacological options are marginally effective, often also associated with major side effects. Surgical treatments, albeit effective in decreasing body weight, are invasive and expensive. Thus, our approaches to finding the causes, improving the existing treatments, and inventing novel therapies must be manifold.
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Affiliation(s)
- G Cizza
- Section on Neuroendocrinology of Obesity, NIDDK, Clinical Center, NIH, DHHS, Bethesda, MD, USA.
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Abstract
This study investigates gender differences in perceptions of body weight. Previous research has found significant gender differences in perceived weight-level, but less is known about weight perceptions of the opposite gender. Based on Danish survey data (859 women and 160 men), the discrepancy between BMI weight-level and self-perceived weight-level is estimated as well as the perception of one's partner's weight-level. Two main empirical conclusions emerge. First, there are significant gender differences in weight assessment. Whereas women assess weight according to the standardized BMI weight-levels for both genders, men assess weight according to gender. The weight-level of men is often underestimated by men themselves, but both men and women tend to overestimate the weight-level of women in the lower BMI deciles compared to standardized BMI weight-levels. Second, there is greater underestimation of weight-levels for individuals in the higher BMI--especially regarding weight perceptions of the opposite gender. These findings are discussed within a framework of socio-cultural theory of body image and gendered relations.
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Nopoulos P, Epping EA, Wassink T, Schlaggar BL, Perlmutter J. Correlation of CAG repeat length between the maternal and paternal allele of the Huntingtin gene: evidence for assortative mating. Behav Brain Funct 2011; 7:45. [PMID: 22008211 PMCID: PMC3219594 DOI: 10.1186/1744-9081-7-45] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Accepted: 10/18/2011] [Indexed: 11/10/2022] Open
Abstract
Triplet repeats contribute to normal variation in behavioral traits and when expanded, cause brain disorders. While Huntington's Disease is known to be caused by a CAG triplet repeat in the gene Huntingtin, the effect of CAG repeats on brain function below disease threshold has not been studied. The current study shows a significant correlation between the CAG repeat length of the maternal and paternal allele in the Huntingtin gene among healthy subjects, suggesting assortative mating.
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Affiliation(s)
- Peg Nopoulos
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
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Abstract
Until recently, obesity was considered the product of interactions between genotype and lifestyle. However, recent work suggests that the genetic heritability of adiposity has been over-estimated, whilst epidemiological studies show that although many genes are associated with nutritional status, the effect of each is very small. A polygenic basis of obesity risk may arise through bet-hedging of numerous traits to accommodate diverse unpredictable environments, rather than through systematic local adaptation. Such 'fragmentation' of the genetic component of metabolism across multiple alleles may be a necessary pre-requisite for complementary enhancement of phenotypic plasticity. The inter-generational component of obesity refers to phenotypic effects transmitted across generations, arising from exposure to maternal, familial and environmental niches during development. Inter-generational transfers of somatic capital (height, lean mass) may respond to ecological conditions through a slow-response damping system, through the influence of maternal phenotype on offspring growth and body composition. The primary traits subject to inter-generational effects may be physique and life history strategy, with adiposity both aiding and responding as a flexible risk management strategy. The biological processes that underpin the offspring's developmental plasticity appear sensitive to the obesogenic niche. Through this sensitivity, diverse environmental factors can induce excess weight gain from childhood onwards.
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Affiliation(s)
- Jonathan C K Wells
- Childhood Nutrition Research Centre, UCL Institute of Child Health, London, WC1N 1EH, UK.
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Oreffice S, Quintana-Domeque C. Anthropometry and socioeconomics among couples: evidence in the United States. ECONOMICS AND HUMAN BIOLOGY 2010; 8:373-384. [PMID: 20627829 DOI: 10.1016/j.ehb.2010.05.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2009] [Revised: 04/30/2010] [Accepted: 05/02/2010] [Indexed: 05/29/2023]
Abstract
We analyze the marriage-market aspects of weight and height in the United States using data from the Panel Study of Income Dynamics on anthropometric characteristics of both spouses. We find evidence of positive sorting in spouses' body mass index (BMI), weight, and height. Within couples, gender-asymmetric trade-offs arise not only between physical and socioeconomic attributes, but also between anthropometric attributes, with significant penalties for fatter women and shorter men. A wife's obesity (BMI or weight) measures are negatively correlated with her husband's income, education, and height, controlling for his weight and her height, along with spouses' demographic and socioeconomic characteristics. Conversely, heavier husbands are not penalized by matching with poorer or less educated wives, but only with shorter ones. Height is valued mainly for men, with shorter men matched with heavier and less educated wives.
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Keltz J, Zapantis A, Jindal SK, Lieman HJ, Santoro N, Polotsky AJ. Overweight men: clinical pregnancy after ART is decreased in IVF but not in ICSI cycles. J Assist Reprod Genet 2010; 27:539-44. [PMID: 20635132 DOI: 10.1007/s10815-010-9439-y] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2010] [Accepted: 05/11/2010] [Indexed: 12/15/2022] Open
Abstract
PURPOSE To evaluate if elevated male body mass influences success after assisted reproductive technologies METHODS Retrospective study of 290 cycles. RESULTS Male body mass index greater than 25.0 kg/m² was associated with significantly lower clinical pregnancy (53.2% vs. 33.6%). Multivariable logistic regression indicated that the likelihood of clinical pregnancy was decreased if the male partner was overweight after in vitro fertilization but not after intracytoplasmic sperm injection (odds ratios: 0.21 [0.07-0.69] vs. 0.75 [0.38-1.49], respectively) after adjustment for number of embryos transferred, sperm concentration, female age and body mass. CONCLUSION In this cohort, overweight status of the male partner was independently associated with decreased likelihood of clinical pregnancy after in vitro fertilization but not after intracytoplasmic sperm injection. A detrimental impact of higher male body mass was observed after adjusting for sperm concentration, suggesting that intracytoplasmic sperm injection may overcome some obesity related impairment of sperm-egg interaction.
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Affiliation(s)
- Julia Keltz
- Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA.
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Evaluating energy intake measurement in free-living subjects: when to record and for how long? Public Health Nutr 2009; 13:172-80. [PMID: 19772686 DOI: 10.1017/s1368980009991443] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To nutritionally analyse mean energy intake (EI) from different 3 d intervals within a 7 d recording period and to evaluate the seasonal effect on energy and nutrient intake. DESIGN Cross-sectional study of dietary intake collected with 7 d food diaries. SETTING Aberdeen, north-east Scotland, UK, between 2002 and 2004. SUBJECTS Participants from two long-term trials were pooled. These trials, investigating genetic and environmental influences on body weight, were the Genotyping And Phenotyping (GAP) study and a cohort observational study, Rowett Assessment of Childhood Appetite and metaboLism (RASCAL). There were 260 Caucasian adults, BMI range 16.7-49.3 kg/m2, age range 21-64 years. RESULTS Mean EI for Wednesday, Friday and Saturday had the closest approximation to the 7 d mean (0.1 % overestimate). A gender x season interaction (P = 0.019) with a different intake pattern for females and males was observed. For females, lower mean (se) EI was recorded in summer (8117 (610) kJ) and autumn (7941 (699) kJ) compared with spring (8929 (979) kJ) and winter (8132 (1041) kJ). For males, higher mean (se) EI was recorded in summer (10 420 (736) kJ) and autumn (10 490 (1041) kJ) compared with spring (9319 (1441) kJ) and winter (9103 (1505) kJ). CONCLUSIONS The study results indicate that 3 d weighed intakes recorded from Wednesday, Friday and Saturday are most representative of 7 d habitual intake in free-living subjects. They also indicate that seasonality has a limited effect on EI and no effect on macronutrient intake.
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