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Miyayama C, Shoji H, Murano Y, Ito K, Saita M, Naito T, Fukuda H, Shimizu T. Body Mass Index Changes at 1.5 and 3 Years of Age Affect Adult Body Composition. Pediatr Rep 2024; 16:669-677. [PMID: 39189290 PMCID: PMC11348375 DOI: 10.3390/pediatric16030056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 07/28/2024] [Accepted: 07/29/2024] [Indexed: 08/28/2024] Open
Abstract
Early childhood lays the foundation for many outcomes in later life. Recent studies suggest that early childhood development may contribute to lifestyle-related diseases such as obesity, type 2 diabetes, and cardiovascular disease in adulthood; however, there have been few investigations on this association among adults in Japan. Therefore, we examined the relationship between recent physical measurements in adults who underwent health checkups at our university and their physical measurements at birth and during infancy recorded in the Maternal and Child Health Handbook. The median age and body mass index (BMI) of the participants were 36 years and 20.4 kg/m2, respectively. BMI at the time of health checkup in adults did not correlate with physical measurements at birth, but it was found to be associated with BMI at 1.5 (regression coefficient (β) 0.53, p < 0.05) and 3 (β 0.7, p < 0.01) years of age. In addition, the waist-to-height ratio in adulthood was also associated with BMI at 1.5 (β 0.01, p < 0.05) and 3 (β 0.01, p < 0.05) years of age. These findings suggest that it is critical to provide appropriate guidance to children with high BMI and their parents during health checkups to prevent lifestyle-related disorders in adulthood.
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Affiliation(s)
- Chiharu Miyayama
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
| | - Hiromichi Shoji
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
| | - Yayoi Murano
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
| | - Kanami Ito
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
| | - Mizue Saita
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
- Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan
| | - Toshio Naito
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
- Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan
| | - Hiroshi Fukuda
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
- Department of Advanced Preventive Medicine and Health Literacy, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan
| | - Toshiaki Shimizu
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
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Shi J, Guo Q, Fang H, Cheng X, Ju L, Wei X, Zhao L, Cao Q, Yuan X, He L. The Relationship between Birth Weight and the Risk of Overweight and Obesity among Chinese Children and Adolescents Aged 7-17 Years. Nutrients 2024; 16:715. [PMID: 38474841 DOI: 10.3390/nu16050715] [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: 01/29/2024] [Revised: 02/25/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
Obesity is a major public health issue in children and adolescents. Our study aimed to examine the impacts of birth weight on overweight and obesity among Chinese children and adolescents. Using data from the China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016-2017, we included 10,041 participants aged 7-17 years. According to birth weight, participants were categorized into six groups, and the birth weight category of 3000 to 3499 g was chosen as the reference group, containing the largest number of children. Logistic regression analyses were used to investigate the association of birth weight with the risk of being obese at 7 to 17 years of age in multivariable-adjusted models. A restricted cubic spline was utilized to show the odds ratios (ORs) of obesity at different birth weight levels. The adjusted ORs for overweight were 0.98 (95%CI 0.63, 1.53), 1.02 (95%CI 0.84, 1.25), 1.34 (95%CI 1.16, 1.55), 1.72 (95%CI 1.35, 2.18), and 1.17 (95%CI 0.71, 1.96) in several birth weight groups, compared with group C (3000-3499 g). The adjusted ORs for obesity were 0.82 (95%CI 0.48, 1.40), 0.77 (95%CI 0.60, 0.98), 1.33 (95%CI 1.13, 1.57), 1.97 (95%CI 1.53, 2.53), and 2.01 (95%CI 1.27, 3.19). Furthermore, children in the post-pubertal stage had a slightly higher risk of overweight and obesity than those in the pre-pubertal and pubertal stage. Moreover, these associations were stronger among boys. The lower part of normal birth weight range is associated with a lower risk of overweight and obesity in children and adolescents. However, higher levels of birth weight increase risk.
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Affiliation(s)
- Jiaqi Shi
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Qiya Guo
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Hongyun Fang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xue Cheng
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Lahong Ju
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xiaoqi Wei
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Liyun Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Qiuye Cao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xiaolin Yuan
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Li He
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Yang YC, Shi Y, Duobujie J, Liu XX, Huang Y, Wu YB. Study on the correlation between maternal serum uric acid and foetal birth weight in Naqu, Tibet. J OBSTET GYNAECOL 2023; 43:2173563. [PMID: 36724369 DOI: 10.1080/01443615.2023.2173563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
In high-altitude regions, low birth weight is mainly caused by hypoxia. We aimed to determine whether maternal serum uric acid (SUC) level was associated with decreased foetal birth weight. The relevant data of individual pregnant women who delivered between 37 and 40 weeks in the People's Hospital of Naqu City, Tibet were retrospectively collected. The correlation between maternal SUC and birth weight was examined using multivariate linear regression analysis and subgroup analysis. The results showed that there was a significant negative correlation between SUC and birth weight in pregnant women with proteinuria, female foetuses, and primiparas. Fitting smoothing curve analysis showed that there was a negative linear correlation between SUC and birth weight in primiparas and female foetuses. Maternal SUC is negatively associated with foetal birth weight in a single pregnancy with proteinuria, primipara, or female foetuses in the Naqu region of Tibet, China.IMPACT STATEMENTWhat is already known on this subject? Preeclampsia associated with hyperuricaemia can affect foetal birth weight, foetal birth weight in plains area is negatively correlated with maternal hyperuricaemia.What do the results of this study add? Maternal SUC was negatively correlated with foetal birth weight, especially in primipara, mothers with proteinuria, and pregnant girls.What are the implications of these findings for clinical practice and/or further research? The results suggest that attention should be paid to SUC in pregnant women, especially in primipara, mothers with proteinuria, and pregnant girls, in the prevention of low birth weight infants in Naqu Plateau area of Tibet.
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Affiliation(s)
- Yong-Chang Yang
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi Shi
- Department of Pediatrics, Naqu People's Hospital, Naqu, China
| | - Jimei Duobujie
- Department of Pediatrics, Naqu People's Hospital, Naqu, China
| | - Xiu-Xiu Liu
- Department of Pediatrics, Naqu People's Hospital, Naqu, China
| | - Yu Huang
- Department of Pediatrics, Naqu People's Hospital, Naqu, China
| | - Yu-Bin Wu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
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Li J, Huang D, Liang J, Chen J, Lei L, Lin M, Wu K, Xiao S, Lai M, Qiu X, Qian ZM, Vaughn MG, McMillin SE, Dong G, Zeng X, Liu S. Physical activity during pregnancy and adverse birth outcome: a prospective cohort study in China. J Matern Fetal Neonatal Med 2023; 36:2162819. [PMID: 36597826 DOI: 10.1080/14767058.2022.2162819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Objectives The relationship between prenatal physical activity (PA) and adverse birth outcomes is still inconclusive. We aimed to investigate the association between PA during pregnancy and adverse birth outcomes by using data from the Guangxi Zhuang birth cohort (GZBC) in China.Study Design A total of 11,292 mother-infant pairs were included from GZBC in China. The information on PA status, intensity, adequacy, and volume and birth outcomes were collected. Multivariable linear and logistic regression models were applied to analyze the effects of PA during pregnancy on birth weight z-scores (BW z-scores) and gestational age and risk of small-for-gestational age (SGA) and preterm birth (PTB), respectively. Cubic spline analysis was conducted to detect a nonlinear dose-response of total weekly activity metabolic equivalents (MET) and birth outcomes.Results Compared to no regular PA during pregnancy, moderate and high-intensity PA (MVPA) was associated with increase BW z-scores (β = 0.08, 95%CI: 0.002, 0.15, p = .044) and associated with a marginal significant decrease in risk of PTB (OR = 0.73, 95%CI: 0.51, 1.05, p = .093). However, PA had no relationship with gestational age and risk of SGA, and Nonlinear relationships were not observed between total weekly activity MET and risk of SGA and PTB.Conclusion These finding shows that PA during pregnancy may increase the BW z-score and reduce risk of PTB, supporting the guidelines that pregnant women should be encouraged to engage in appropriate physical activity during pregnancy in China.
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Affiliation(s)
- Jinxiu Li
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Dongping Huang
- Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Jun Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Jiehua Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Lei Lei
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Mengrui Lin
- Department of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Kaili Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Suyang Xiao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Mingshuang Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Xiaoqiang Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, St. Louis, MO, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, St. Louis, MO, USA
| | - GuangHui Dong
- Department of Environmental and Occupational Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, PR China
| | - Xiaoyun Zeng
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, P.R. China
| | - Shun Liu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, PR China
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Genowska A, Strukcinskiene B, Bochenko-Łuczyńska J, Motkowski R, Jamiołkowski J, Abramowicz P, Konstantynowicz J. Reference Values for Birth Weight in Relation to Gestational Age in Poland and Comparison with the Global Percentile Standards. J Clin Med 2023; 12:5736. [PMID: 37685803 PMCID: PMC10488537 DOI: 10.3390/jcm12175736] [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: 07/29/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023] Open
Abstract
INTRODUCTION Percentiles of birth weight by gestational age (GA) are an essential tool for clinical assessment and initiating interventions to reduce health risks. Unfortunately, Poland lacks a reference chart for assessing newborn growth based on the national population. This study aimed to establish a national reference range for birth weight percentiles among newborns from singleton deliveries in Poland. Additionally, we sought to compare these percentile charts with the currently used international standards, INTERGROWTH-21 and WHO. MATERIALS AND METHODS All singleton live births (n = 3,745,239) reported in Poland between 2010 and 2019 were analyzed. Using the Lambda Mu Sigma (LMS) method, the Generalized Additive Models for Location Scale, and Shape (GAMLSS) package, smoothed percentile charts (3-97) covering GA from 23 to 42 weeks were constructed. RESULTS The mean birth weight of boys was 3453 ± 540 g, and this was higher compared with that of girls (3317 ± 509 g). At each gestational age, boys exhibited higher birth weights than girls. The weight range between the 10th and 90th percentiles was 1061 g for boys and 1016 g for girls. Notably, the birth weight of Polish newborns was higher compared to previously published international growth standards. CONCLUSION The reference values for birth weight percentiles established in this study for Polish newborns differ from the global standards and are therefore useful for evaluating the growth of newborns within the national population. These findings hold clinical importance in identifying neonates requiring postbirth monitoring.
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Affiliation(s)
- Agnieszka Genowska
- Department of Public Health, Medical University of Bialystok, 15-295 Bialystok, Poland
| | | | | | - Radosław Motkowski
- Department of Pediatrics, Rheumatology, Immunology and Metabolic Bone Diseases, Medical University of Bialystok, University Children′s Hospital, 15-274 Bialystok, Poland; (R.M.); (P.A.); (J.K.)
| | - Jacek Jamiołkowski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland;
| | - Paweł Abramowicz
- Department of Pediatrics, Rheumatology, Immunology and Metabolic Bone Diseases, Medical University of Bialystok, University Children′s Hospital, 15-274 Bialystok, Poland; (R.M.); (P.A.); (J.K.)
| | - Jerzy Konstantynowicz
- Department of Pediatrics, Rheumatology, Immunology and Metabolic Bone Diseases, Medical University of Bialystok, University Children′s Hospital, 15-274 Bialystok, Poland; (R.M.); (P.A.); (J.K.)
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Sharma S, Sperling J, Jujic A, Bennet L, Christensson A, Nilsson PM. Associations between birth parameters and skin autofluorescence advanced glycation end products and ankle-brachial index in young adulthood: the Malmö Offspring Study. J Hypertens 2023; 41:1184-1190. [PMID: 37115823 DOI: 10.1097/hjh.0000000000003449] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
BACKGROUND Low birth weight (LBW), advanced glycation end-products (AGE), and ankle-brachial index (ABI) have all been independently associated with risk of cardiovascular disease. Evidence is lacking on the effect of LBW on adult AGE, a marker of glucose metabolism, and ABI, a marker of peripheral atherosclerosis. The objective was to study these associations in a population-based cohort. METHODS Data from the Malmö Offspring Study, Sweden, were used for 2012 participants (958 men, 1054 women) born between 1973 and 2000, linked to the Medical Birth Register. General linear regression analysis (with β coefficients and 95% confidence intervals) was applied for associations between birth weight and skin auto-fluorescence (sf)AGE as well as mean ABI (right/left), before and after adjusting for gestational age, sex, glucose, lipids, smoking, BMI and SBP. RESULTS The mean (SD) age of men was 29.3 (7.3) and of women 28.6 (7.3) years. There was an average 0.054 decrease in sfAGE value per 1 kg increase in birth weight (adjusted for gestational age and sex). Similarly, 1 kg increase in birth weight (adjusted for gestational age and confounders) was associated with an average 0.016 decrease in mean ABI. CONCLUSION Birth weight, adjusted for gestational age and other confounding variables, is inversely associated with ABI in young adulthood, an age range when ABI may represent hemodynamic changes more than atherosclerosis, but for sfAGE, the association was attenuated upon further adjustment. These risk markers may, therefore, represent mediating pathways for early life factors affecting cardiovascular risk later in life.
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Affiliation(s)
- Shantanu Sharma
- Department of Clinical Sciences, Malmö, Lund University, Skåne University Hospital, Malmö
| | - Johannes Sperling
- Department of Clinical Sciences, Malmö, Lund University, Skåne University Hospital, Malmö
- Department of Gynecology and Obstetrics, NÄL Hospital, Trollhättan
| | - Amra Jujic
- Department of Clinical Sciences, Malmö, Lund University, Skåne University Hospital, Malmö
| | - Louise Bennet
- Department of Clinical Sciences, Malmö, Lund University, Skåne University Hospital, Malmö
- Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund
| | - Anders Christensson
- Department of Clinical Sciences, Malmö, Lund University, Skåne University Hospital, Malmö
- Department of Nephrology
| | - Peter M Nilsson
- Department of Clinical Sciences, Malmö, Lund University, Skåne University Hospital, Malmö
- Clinical Research Unit, Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
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Fieß A, Grabitz SD, Mildenberger E, Urschitz MS, Fauer A, Hampel U, Wasielica-Poslednik J, Zepp F, Pfeiffer N, Schuster AK. A lower birth weight percentile is associated with central corneal thickness thinning: Results from the Gutenberg Prematurity Eye Study (GPES). JOURNAL OF OPTOMETRY 2023; 16:143-150. [PMID: 36182657 PMCID: PMC10104790 DOI: 10.1016/j.optom.2022.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 06/17/2022] [Accepted: 07/03/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE Prematurity, prenatal growth restriction, and retinopathy of prematurity (ROP) are associated with altered ocular geometry, such as a steeper corneal shape in childhood, but it is unclear whether perinatal history affects corneal thickness development, so this study investigated whether corneal thickness in adulthood is affected by perinatal history. MARTERIALS AND METHODS The Gutenberg Prematurity Eye Study (GPES) is a retrospective cohort study with a prospective ophthalmologic examination in Germany. The corneal thickness was measured by Scheimpflug imaging (Pentacam HR, Oculus Optikgeräte GmbH, Wetzlar, Germany), and the relationship between perinatal parameters respective birth weight percentile and corneal thickness at different locations was assessed using uni- and multivariable linear regression models. Covariates included age, sex, mean corneal radius, white-to-white distance, gestational age, birth weight percentile, ROP occurrence, and treatment. The main outcome measures were corneal thickness at the apex, the pupil center, and the corneal periphery. RESULTS The corneal thickness was measured in 390 participants (754 eyes, mean age 29.7+/-8.7 years, 224 females). In multivariable analyses, a lower birth weight percentile was associated with a lower corneal thickness at the apex (B = 0.20, p = 0.003) and the pupil (B = 0.19, p = 0.007). These effects diminished towards the corneal periphery and were not observed beyond the 4-mm diameter circle around the thinnest corneal position. Neither gestational age, ROP occurrence, or ROP treatment affected the corneal thickness. CONCLUSION A lower birth weight percentile in subjects born preterm as a proxy for restricted fetal growth is associated with corneal thickness thinning in adults aged 18 to 52 years, indicating that corneal thickness development, particularly in the corneal center, may originate in the fetal stage.
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Affiliation(s)
- Achim Fieß
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Stephanie D Grabitz
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Eva Mildenberger
- Division of Neonatology, Department of Pediatrics, University Medical Center of the Johannes Gutenberg University Mainz, Germany
| | - Michael S Urschitz
- Division of Pediatric Epidemiology, Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Agnes Fauer
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Ulrike Hampel
- Department of Ophthalmology, University Hospital Leipzig, Leipzig, Germany
| | - Joanna Wasielica-Poslednik
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Fred Zepp
- Division of Neonatology, Department of Pediatrics, University Medical Center of the Johannes Gutenberg University Mainz, Germany
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Alexander K Schuster
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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Sun Q, Zhang Y, Wang Y, Lu J, Ma X. Association Between Carbon Emission and Low Birth Weight in Mainland China. J Occup Environ Med 2023; 65:e147-e154. [PMID: 36728925 DOI: 10.1097/jom.0000000000002775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The aim of this study is to investigate the relationship between carbon emission and low birth weight (LBW). METHODS A nested case-control study was contacted in mainland China. Multilevel logistic regression was used to estimate the effect of carbon emission on LBW. Generalized additive mixed effect model was performed to assess no-linear trend between LBW and carbon emission. RESULTS Carbon emission was a risk factor for LBW (odds ratio, 1.182; 95% confidence interval, 1.011-1.383). Carbon emissions from power, residence, aviation, and transport department were risk factors for LBW (all P < 0.05). Moreover, generalized additive mixed effect model has shown that the risk of LBW decreased first and then increased as carbon emissions increased. CONCLUSIONS Our study initially found that carbon emission may be a risk factor for LBW.
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Affiliation(s)
- Qi Sun
- From the Human Genetic Resources Center, National Research Institute for Family Planning, Beijing, China (Sun, Zhang, Wang, Lu, Ma)
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Song P, Hui H, Yang M, Lai P, Ye Y, Liu Y, Liu X. Birth weight is associated with obesity and T2DM in adulthood among Chinese women. BMC Endocr Disord 2022; 22:285. [PMID: 36401223 PMCID: PMC9673198 DOI: 10.1186/s12902-022-01194-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 10/26/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Previous studies have indicated an association between birth weight (BW) and type 2 diabetes mellitus (T2DM), but few studies have explored this relationship under different conditions of obesity in adulthood. METHODS A total of 4,005 individuals from ten provinces of China were randomly selected to participate in this study. We used a questionnaire to collect age, BW, current weight, height, T2DM history, age at T2DM diagnosis, and other variables. The participants were divided into three groups were according to BW trisection (BW ≤ 2500 g for the lower BW group, 2500 g < BW ≤ 3500 g for the normal BW group, and BW > 3500 g for the higher BW group). The cutoff of overweight and obesity were 25 kg/m2 and 28 kg/m2, respectively. RESULTS The prevalence rates of T2DM among women with lower BW, normal BW and higher BW were 5.2%, 3.6% and 2.0%, respectively. The obesity prevalence rates in the lower BW, normal BW and higher BW groups were 8.1%, 6.7% and 9.0%, respectively. In the obese population, we did not find a relationship between BW and T2DM, but in the nonobese population, we found that with increasing BW, the risk of developing T2DM was reduced. Obese status in adulthood modified the association between BW and the risk of T2DM. CONCLUSION There is a "U" shape association between BW and risk of adulthood obesity in Chinese women, but this trend is not existed between BW and risk of developing T2DM. In non-overweight females, the risk of developing T2DM decreased with increasing BW, but this trend was not observed in overweight females.
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Affiliation(s)
- Pu Song
- Department of Neurology, Xuzhou Central Hospital, Jiangsu, China
- Department of Radiotherapy, Xuzhou Central Hospital, Jiangsu, China
| | - Hui Hui
- Department of Radiotherapy, Xuzhou Central Hospital, Jiangsu, China
| | - Manqing Yang
- Department of Central Laboratory, Xuzhou Central Hospital, Jiangsu, China
| | - Peng Lai
- The Graduate School of Xuzhou Medical University, Jiangsu, China
| | - Yan Ye
- The Graduate School of Xuzhou Medical University, Jiangsu, China
| | - Ying Liu
- Department of Ultrasonography, Xuzhou Central Hospital, Jiangsu, China
| | - Xuekui Liu
- Department of Central Laboratory, Xuzhou Central Hospital, Jiangsu, China
- Xuzhou Institute of Medical Science, Xuzhou Institute of Diabetes, Jiangsu, China
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Inequalities in Birth Weight in Relation to Maternal Factors: A Population-Based Study of 3,813,757 Live Births. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031384. [PMID: 35162402 PMCID: PMC8835086 DOI: 10.3390/ijerph19031384] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 02/06/2023]
Abstract
Background: Despite numerous studies of women having children later in life, evidence of the relationship between maternal factors and newborn outcomes in Central and Eastern European countries is limited. This study aimed to examine the association between maternal age, biological determinants, including parity and sex of the newborn, demographic and social background, and birth weight in 3.8 million singleton live births in Poland. Methods: The effect of maternal age on birth weight (in grams and Z-scores) adjusted for confounders was assessed using Generalized Linear Models. Results: The mean (±SD) birth weights of neonates born to primiparous women and multiparous women were 3356.3 ± 524.9 g and 3422.7 ± 538.6 g, respectively, which corresponded to a Z-score of −0.07 ± 0.96 and 0.14 ± 1.00, respectively (p ≤ 0.001). After controlling for biological, demographic, and social factors, a significant decrease in birth weight was found for primiparous women of the age group ≥30 years and multiparous women aged ≥35 years compared to the age group of 25–29 years. The lowest neonatal birth weight was observed in the case of women aged ≥45 years. Confounders did not affect birth weight Z-scores among primiparous women, whereas among multiparous women, together with educational factors, they reversed Z-scores from positive to negative values. The lower birth weight of neonates was overall associated with lower maternal education. Conclusions: Regardless of parity, advanced maternal age is strongly associated with a decreased neonatal birth weight, implying complications in early pregnancy and the antenatal period as well as obstetric complications. Counseling to support women’s family planning decisions and improving women’s education during their reproductive age may help to alleviate unfavorable newborn outcomes.
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Bianchi ME, Restrepo JM. Low Birthweight as a Risk Factor for Non-communicable Diseases in Adults. Front Med (Lausanne) 2022; 8:793990. [PMID: 35071274 PMCID: PMC8770864 DOI: 10.3389/fmed.2021.793990] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/08/2021] [Indexed: 11/18/2022] Open
Abstract
According to studies undertaken over the past 40 years, low birthweight (LBW) is not only a significant predictor of perinatal death and morbidity, but also increases the risk of chronic non-communicable diseases (NCDs) in adulthood. The purpose of this paper is to summarize the research on LBW as a risk factor for NCDs in adults. The Barker hypothesis was based on the finding that adults with an LBW or an unhealthy intrauterine environment, as well as a rapid catch-up, die due to NCDs. Over the last few decades, terminology such as thrifty genes, fetal programming, developmental origins of health and disease (DOHaD), and epigenetic factors have been coined. The most common NCDs include cardiovascular disease, diabetes mellitus type 2 (DMT2), hypertension (HT), dyslipidemia, proteinuria, and chronic kidney disease (CKD). Studies in mothers who experienced famine and those that solely reported birth weight as a risk factor for mortality support the concept. Although the etiology of NCD is unknown, Barry Brenner explained the notion of a low glomerular number (nGlom) in LBW children, followed by the progression to hyperfiltration as the physiopathologic etiology of HT and CKD in adults based on Guyton's renal physiology work. Autopsies of several ethnic groups have revealed anatomopathologic evidence in fetuses and adult kidneys. Because of the renal reserve, demonstrating renal function in proportion to renal volume in vivo is more difficult in adults. The greatest impact of these theories can be seen in pediatrics and obstetrics practice.
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Affiliation(s)
- Maria Eugenia Bianchi
- Laboratory Physiology, Department Basic Sciences, Institute School of Medicine, National Northeast University, Corrientes, Argentina
| | - Jaime M Restrepo
- Department of Pediatrics, Pediatric Nephrology Service, Icesi University, Valle del Lili, Cali, Colombia.,Fundación Valle del Lili, Cali, Colombia
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de Mendonça ELSS, Fragoso MBT, de Oliveira JM, Xavier JA, Goulart MOF, de Oliveira ACM. Gestational Diabetes Mellitus: The Crosslink among Inflammation, Nitroxidative Stress, Intestinal Microbiota and Alternative Therapies. Antioxidants (Basel) 2022; 11:129. [PMID: 35052633 PMCID: PMC8773111 DOI: 10.3390/antiox11010129] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 12/30/2021] [Accepted: 01/04/2022] [Indexed: 01/09/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is characterized by a set of metabolic complications arising from adaptive failures to the pregnancy period. Estimates point to a prevalence of 3 to 15% of pregnancies. Its etiology includes intrinsic and extrinsic aspects of the progenitress, which may contribute to the pathophysiogenesis of GDM. Recently, researchers have identified that inflammation, oxidative stress, and the gut microbiota participate in the development of the disease, with potentially harmful effects on the health of the maternal-fetal binomial, in the short and long terms. In this context, alternative therapies were investigated from two perspectives: the modulation of the intestinal microbiota, with probiotics and prebiotics, and the use of natural products with antioxidant and anti-inflammatory properties, which may mitigate the endogenous processes of the GDM, favoring the health of the mother and her offspring, and in a future perspective, alleviating this critical public health problem.
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Affiliation(s)
- Elaine Luiza Santos Soares de Mendonça
- Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceio 57072-970, Alagoas, Brazil; (E.L.S.S.d.M.); (M.B.T.F.); (J.M.d.O.); (J.A.X.)
| | - Marilene Brandão Tenório Fragoso
- Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceio 57072-970, Alagoas, Brazil; (E.L.S.S.d.M.); (M.B.T.F.); (J.M.d.O.); (J.A.X.)
| | - Jerusa Maria de Oliveira
- Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceio 57072-970, Alagoas, Brazil; (E.L.S.S.d.M.); (M.B.T.F.); (J.M.d.O.); (J.A.X.)
| | - Jadriane Almeida Xavier
- Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceio 57072-970, Alagoas, Brazil; (E.L.S.S.d.M.); (M.B.T.F.); (J.M.d.O.); (J.A.X.)
| | - Marília Oliveira Fonseca Goulart
- Institute of Chemistry and Biotechnology, Federal University of Alagoas, Maceio 57072-970, Alagoas, Brazil; (E.L.S.S.d.M.); (M.B.T.F.); (J.M.d.O.); (J.A.X.)
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Xi Y, Gao W, Zheng K, Lv J, Yu C, Wang S, Huang T, Sun D, Liao C, Pang Y, Pang Z, Yu M, Wang H, Wu X, Dong Z, Wu F, Jiang G, Wang X, Liu Y, Deng J, Lu L, Cao W, Li L. Overweight and risk of type 2 diabetes: A prospective Chinese twin study. DIABETES & METABOLISM 2021; 48:101278. [PMID: 34520837 DOI: 10.1016/j.diabet.2021.101278] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 08/04/2021] [Accepted: 08/07/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES This study aimed to estimate the association between overweight and type 2 diabetes mellitus (T2DM) in twins, and further to explore whether genetic and early-life environmental factors account for this association. METHODS This study included 31,197 twin individuals from the Chinese National Twin Registry (CNTR). Generalized estimating equation (GEE) models were applied for unmatched case-control analysis. Conditional logistic regressions were used in co-twin matched case-control analysis. Logistic regressions were fitted to examine the differences in odds ratios (ORs) from the GEE models and conditional logistic regressions. Bivariate genetic model was used to explore the genetic and environmental correlation between body mass index (BMI) and T2DM. RESULTS In the GEE model, overweight was associated with a higher T2DM risk (OR=2.71, 95% confidence interval (CI): 1.96∼3.73), compared with participants with normal BMI. In the multi-adjusted conditional logistic regression, the association was still significant (OR=2.60, 95% CI: 1.15∼5.87). The ORs from the unmatched and matched analyses were different (P = 0.042). Particularly, overweight could increase T2DM risk in monozygotic (MZ) twins, and the difference in ORs between the unmatched and matched designs was significant (P = 0.014). After controlling for age and sex, the positive BMI-T2DM association was partly due to a significant genetic correlation (rA= 0.31, 95% CI: 0.20∼0.41). CONCLUSIONS Our findings suggest that genetics and early-life environments might account for the observed overweight-T2DM association. Genetic correlation between BMI and T2DM further provides evidence for the influence of overlap genes on their association.
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Affiliation(s)
- Yu'e Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Ke Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Zengchang Pang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Hua Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
| | - Zhong Dong
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Fan Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Guohong Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - Xiaojie Wang
- Qinghai Center for Diseases Prevention and Control, Xining 810007, China
| | - Yu Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China
| | - Jian Deng
- Handan Center for Disease Control and Prevention, Handan 056001, China
| | - Lin Lu
- Yunnan Center for Disease Control and Prevention, Kunming 650034, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Zhang Y, Liang J, Liu Q, Fan X, Xu C, Gu A, Zhao W, Hang D. Birth Weight and Adult Obesity Index in Relation to the Risk of Hypertension: A Prospective Cohort Study in the UK Biobank. Front Cardiovasc Med 2021; 8:637437. [PMID: 34222359 PMCID: PMC8245673 DOI: 10.3389/fcvm.2021.637437] [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: 12/03/2020] [Accepted: 05/12/2021] [Indexed: 11/21/2022] Open
Abstract
Objectives: To investigate the association between birth weight and the risk of hypertension, and to examine the interaction between birth weight and the adult obesity index. Methods: We included 199,893 participants who had birth weight data and no history of hypertension at baseline (2006–2010) from the UK Biobank. A multivariate cubic regression spline was used to visually explore the dose-response relationship. Multivariate Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: We observed a nonlinear inverse association between birth weight and hypertension. The risk for hypertension decreased as birth weight increased up to approximately 3.80 kg. Compared with the participants with the fourth quintile of birth weight (3.43–3.80 kg), those with the first quartile of birth weight (<2.88 kg) were associated with a 25% higher risk of hypertension [HR 1.25; 95% CI (1.18–1.32)]. In addition, the participants with birth weight <2.88 kg and body mass index ≥30 kg/m2 had the highest risk [HR 3.54; 95% CI (3.16–3.97); p for interaction <0.0001], as compared with those with birth weight between 3.43–3.80 kg and body mass index between 18.5–25.0 kg/m2. These associations were largely consistent in the stratified and sensitivity analyses. Conclusion: Our findings indicate that lower birth weight is nonlinearly correlated with higher risk of hypertension, and birth weight between 3.43–3.80 kg might represent an intervention threshold. Moreover, lower birth weight may interact with adult obesity to significantly increase hypertension risk.
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Affiliation(s)
- Yi Zhang
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Jingjia Liang
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Qian Liu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Xikang Fan
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Xu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Aihua Gu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Wei Zhao
- Jinling Hospital Department of Reproductive Medical Center affiliated School of Medicine, Nanjing University, Nanjing, China
| | - Dong Hang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
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Xi Y, Gao W, Zheng K, Lv J, Yu C, Wang S, Huang T, Sun D, Liao C, Pang Y, Pang Z, Yu M, Wang H, Wu X, Dong Z, Wu F, Jiang G, Wang X, Liu Y, Deng J, Lu L, Cao W, Li L. The Roles of Genetic and Early-Life Environmental Factors in the Association Between Overweight or Obesity and Hypertension: A Population-Based Twin Study. Front Endocrinol (Lausanne) 2021; 12:743962. [PMID: 34675880 PMCID: PMC8525506 DOI: 10.3389/fendo.2021.743962] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 09/15/2021] [Indexed: 01/14/2023] Open
Abstract
AIMS/HYPOTHESIS We aimed to explore whether and to what extent overweight or obesity could increase the risk of hypertension, and further to estimate the roles of genetic and early-life familial environmental factors in their association. METHODS This prospective twin study was based on the Chinese National Twin Registry (CNTR), which collected information from self-report questionnaires. We conducted unmatched case-control analysis to examine the association between overweight or obesity and hypertension. And further to explore whether genetics and familiar environments shared within a twin pair, accounted for their association via co-twin matched case-control design. Generalized estimating equation (GEE) models and conditional logistic regressions were used in the unmatched and matched analyses, respectively. Then, we used logistic regressions to test the difference in odds ratios (ORs) between the unmatched and matched analyses. Finally, through bivariate twin model, the roles of genetic and environmental factors in the body mass index (BMI)- hypertension association were estimated. RESULTS Overall, we included a total of 30,617 twin individuals, of which 7533 (24.6%) twin participants were overweight or obesity and 757 (2.5%) developed hypertension during a median follow-up time of 4.4 years. In the GEE model, overweight or obesity was associated with a 94% increased risk of hypertension (OR=1.94, 95% confidence interval (CI): 1.64~2.30). In the conditional logistic regression, the multi-adjusted OR was 1.80 (95% CI: 1.18~2.74). The difference in OR between unmatched and matched analyses was significant (P=0.016). Specifically, overweight or obesity was not associated with hypertension risk in the co-twin design when we full controlled genetic and familiar environmental factors (OR=0.89, 95 CI: 0.46~1.72). After controlling for age and sex, we found the positive BMI-hypertension association was mainly explained by a genetic correlation between them (rA= 0.59, 95% CI: 0.44~1.00). CONCLUSIONS/INTERPRETATION Genetics and early-life environments shared by participants within a twin pair appear to account for the association between overweight or obesity and hypertension risk.
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Affiliation(s)
- Yu’e Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- *Correspondence: Wenjing Gao, ; Weihua Cao,
| | - Ke Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zengchang Pang
- Qingdao Municipal Center for Disease Control and Prevention , Qingdao, China
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Zhong Dong
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Fan Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Guohong Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Xiaojie Wang
- Qinghai Center for Diseases Prevention and Control, Xining, China
| | - Yu Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, China
| | - Jian Deng
- Handan Center for Disease Control and Prevention, Handan, China
| | - Lin Lu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- *Correspondence: Wenjing Gao, ; Weihua Cao,
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Premature birth, low birth weight, small for gestational age and chronic non-communicable diseases in adult life: A systematic review with meta-analysis. Early Hum Dev 2020; 149:105154. [PMID: 32799034 DOI: 10.1016/j.earlhumdev.2020.105154] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/31/2020] [Accepted: 08/04/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Individuals who were born prematurely (PT), with low birth weight (LBW), or small for gestational age (SGA) appear to present a set of permanent changes that make them more susceptible to develop chronic non-communicable diseases (CNCD) in adult life. AIM Investigating the association between PT birth, LBW or SGA at birth and CNCD incidence in adult life. METHODS Systematic review with meta-analysis of studies available in three databases - two of them are official (PubMed and Web of Science) and one is gray literature (OpenGrey) - based on pre-established search and eligibility criteria. RESULTS Sixty-four studies were included in the review, 93.7% of them only investigated one of the exposure variables (46.7% LBW, 35.0% PT and 18.3% SGA at birth), whereas 6.3% investigated more than one exposure variable (50.0% LBW and PT; 50.0% SGA and PT). There was association among all exposure variables in the following outcomes: cardiometabolic (CMD) and glycidic metabolism (GMD) disorders, changes in body composition and risk of developing metabolic syndrome (MS). Female sex was identified as risk factor in the exposure-outcome association. Eighteen (18) articles were included in the meta-analysis. There was positive association between LBW and incidence of CMD (OR: 1.25 [95%CI: 1.11; 1.41]; 07 studies), GMD (OR: 1.70 [95%CI: 1.25; 2.30]; 03 studies) and MS (OR: 1.75 [95%CI: 1.27; 2.40]; 02 studies) in adult life. PT was positively associated with CMD (OR: 1.38 [95%CI: 1.27; 1.51]; 05 studies). CONCLUSIONS LBW and PT are associated with CMD and GMD development, as well as with the risk of developing MS in adult life.
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Hu C, Mu Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Gao Z, Wang G, Shen F, Luo Z, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Lu J, Lin L, Li M, Du R, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Li D, Bi Y, Wang W, Ning G. Association between birth weight and diabetes: Role of body mass index and lifestyle in later life. J Diabetes 2020; 12:10-20. [PMID: 31170331 DOI: 10.1111/1753-0407.12960] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 05/13/2019] [Accepted: 06/03/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND This study investigated the association between birth weight and diabetes in a Chinese population, and the effects of body mass index (BMI) and lifestyle factors in later life on this association. METHODS Data from 49 118 participants aged ≥40 years with recalled birth weight from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study, a nationwide population-based cohort, were used. Diabetes diagnosis was based on oral glucose tolerance tests and HbA1c measurements. Logistic regression models were used to evaluate the association of birth weight and risk of diabetes in later life. RESULTS Increased risk of diabetes was associated with lower or higher birth weight. Compared with individuals with a birth weight of 2500 to 3499 g, the odds ratios (ORs) and 95% confidence intervals (CIs) of diabetes for individuals with a birth weight of <2500, between 3500 and 3999, and ≥4000 g were 1.28 (1.11-1.47), 1.11 (1.04-1.19), and 1.20 (1.07-1.34), respectively. Significant associations were prominent in participants with a current BMI ≥24 kg/m2 , but not detected in those with a normal BMI (OR 1.20 [95% CI 0.96-1.49], 1.11 [95% CI 0.98-1.25], and 1.10 [95% CI 0.89-1.37], respectively). Moreover, there was no increased risk of diabetes in individuals with a low birth weight but with healthy dietary habits (OR 0.94; 95% CI 0.68-1.29) or ideal physical activity (OR 1.41; 95% CI 0.97-2.04). CONCLUSIONS A U-shaped association was observed between birth weight and the risk of diabetes. Healthy lifestyles (healthy dietary habits or ideal physical activity) may eliminate the negative effects of low birth weight in the development of diabetes, but not the effect of high birth weight.
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Affiliation(s)
- Chunyan Hu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Jieli Lu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lin Lin
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Rui Du
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Xu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yufang Bi
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health of China, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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18
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Abstract
Individuals with schizophrenia die, on average, 20 years before their peers, with 'natural causes' accounting for 80% of premature deaths. The aim of this narrative review is to address this phenomenon from the perspective of known factors that contribute to long life. The relevant literature from the last decade was searched in PubMed and Google Scholar databases. Four factors have been shown to be common to centarians, people who live to be a hundred: genes, life style behaviors that favor a healthy heart, social support, and a subjective purpose in life. The latter three factors are potentially modifiable but, in the context of schizophrenia, there are barriers to change, namely poverty, illness symptoms, stress, stigma, and side effects of antipsychotic medication. Barriers to change need to be addressed before substantial progress can be made in increasing the health and mortality risk of people with schizophrenia.
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Affiliation(s)
- Mary V Seeman
- Department of Psychiatry, University of Toronto, 260 Heath St. West, Suite #605, Toronto, Ontario, M5P 3L6, Canada.
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19
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Abstract
PURPOSE OF REVIEW A growing body of epidemiological and experimental data indicate that nutritional or environmental stressors during early development can induce long-term adaptations that increase risk of obesity, diabetes, cardiovascular disease, and other chronic conditions-a phenomenon termed "developmental programming." A common phenotype in humans and animal models is altered body composition, with reduced muscle and bone mass, and increased fat mass. In this review, we summarize the recent literature linking prenatal factors to future body composition and explore contributing mechanisms. RECENT FINDINGS Many prenatal exposures, including intrauterine growth restriction, extremes of birth weight, maternal obesity, and maternal diabetes, are associated with increased fat mass, reduced muscle mass, and decreased bone density, with effects reported throughout infancy and childhood, and persisting into middle age. Mechanisms and mediators include maternal diet, breastmilk composition, metabolites, appetite regulation, genetic and epigenetic influences, stem cell commitment and function, and mitochondrial metabolism. Differences in body composition are a common phenotype following disruptions to the prenatal environment, and may contribute to developmental programming of obesity and diabetes risk.
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Affiliation(s)
- Elvira Isganaitis
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- Research Division, Joslin Diabetes Center, 1 Joslin Place, Room 655A, Boston, 02215, MA, USA.
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20
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Arredondo A. Birth weight and social determinants in diabetes and hypertension. J Diabetes 2018; 10:902-903. [PMID: 29952073 DOI: 10.1111/1753-0407.12817] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 06/22/2018] [Indexed: 11/29/2022] Open
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21
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Xu W. Response to Arredondo: Birth weight and social determinants in diabetes and hypertension. J Diabetes 2018; 10:904. [PMID: 29974619 DOI: 10.1111/1753-0407.12821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 07/02/2018] [Indexed: 11/29/2022] Open
Affiliation(s)
- Wanghong Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
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