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Zhang Y, Liu P, Zhou W, Hu J, Cui L, Chen ZJ. Association of large for gestational age with cardiovascular metabolic risks: a systematic review and meta-analysis. Obesity (Silver Spring) 2023; 31:1255-1269. [PMID: 37140379 DOI: 10.1002/oby.23701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/27/2022] [Accepted: 11/28/2022] [Indexed: 05/05/2023]
Abstract
OBJECTIVE The aim of this study was to clarify the relationships among large for gestational age (LGA) and cardiometabolic risk factors. METHODS PubMed, Web of Science, and the Cochrane Library databases were searched to identify studies on LGA and outcomes of interest, including BMI, blood pressure, glucose metabolism, and lipid profiles. Data were independently extracted by two reviewers. A meta-analysis was performed using a random-effects model. The Newcastle-Ottawa Scale and funnel graph were used to assess the quality and publication bias, respectively. RESULTS Overall, 42 studies involving 841,325 individuals were included. Compared with individuals born appropriate for gestational age, individuals born LGA had higher odds of overweight and obesity (odds ratios [OR] = 1.44, 95% CI: 1.31-1.59), type 1 diabetes (OR = 1.28, 95% CI: 1.15-1.43), hypertension (OR = 1.23, 95% CI: 1.01-1.51), and metabolic syndrome (OR = 1.43, 95%; CI: 1.05-1.96). No significant difference was found in hypertriglyceridemia and hypercholesterolemia. Stratified analyses showed that, compared with individuals born appropriate for gestational age, individuals born LGA had higher odds for overweight and obesity from toddler age to puberty age (toddler age: OR = 2.12, 95% CI: 1.22-3.70; preschool: OR = 1.81, 95% CI: 1.55-2.12; school age: OR = 1.53, 95% CI: 1.09-2.14; puberty: OR = 1.40, 95% CI: 1.11-1.77). CONCLUSIONS LGA is associated with increased odds of obesity and metabolic syndrome later in life. Future studies should focus on elucidating the potential mechanisms and identifying risk factors.
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Affiliation(s)
- Yiyuan Zhang
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Peihao Liu
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Wei Zhou
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Jingmei Hu
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Linlin Cui
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Research Unit of Gametogenesis and Health of ART-Offspring, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, China
- Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
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Isabel C, Faro Rebecca V, Vrijkotte TGM, Theodorus Bartholomeus T. Early pregnancy triglycerides and not fructosamine are associated with birth weight (with foetal sexual dimorphism). Eur J Clin Invest 2023; 53:e13896. [PMID: 36327143 DOI: 10.1111/eci.13896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/16/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND We evaluated whether maternal triglycerides (TGs) or fructosamine (measured in early pregnancy) predominantly contribute to birth weight (BW), in a foetal sexual dimorphism. METHODS Analysis of data from the Amsterdam Born Children and their Development cohort study (total n = 3514). Maternal nonfasting TGs and fructosamine were determined in early gestation (median 13 weeks). Multivariable linear regression analysis was used to determine whether maternal TGs or fructosamine was associated with BW-small for gestational age (SGA)-large for gestational age (LGA) and whether it was sex-dependent. RESULTS With each 1 mmol/L increase in TGs, BW increased significantly by 81.7 g. This increase was larger with boys (107.3 g; 95% CI 66-148) than girls (60.5 g; 95% CI 23.6-97.4). No association was found with fructosamine. When including different covariates (gestational age at blood sampling, total duration of pregnancy, maternal height, age, parity, ethnicity, educational level, smoking, alcohol, and pre-pregnancy BMI), 29% of the variance in BW can be explained. Adding fructosamine to this model gave no added value in predicting BW, in contrast to adding TGs (R2 raised from 0.292 to 0.299, p < .001). The odds of a newborn LGA with higher maternal TG were increased (OR 1.6, 95% CI 1.3-2.0), in contrast to fructosamine. CONCLUSIONS Maternal TGs were more dominant (compared to fructosamine) in its association with BW (measured in early physiological pregnancy) and more prominently present when carrying a male foetus. These remarkable observations warrant more future research, especially in obese patients at risk for gestational diabetes.
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Affiliation(s)
- Clinck Isabel
- Department of Endocrinology, Diabetology and Metabolism, AZ Monica, Antwerp, Belgium.,Internal Medicine, University of Antwerp, Antwerp, Belgium
| | - Verelst Faro Rebecca
- Department of Endocrinology, Diabetology and Metabolism, AZ Monica, Antwerp, Belgium.,Internal Medicine, University of Antwerp, Antwerp, Belgium
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Twickler Theodorus Bartholomeus
- Department of Endocrinology, Diabetology and Metabolism, AZ Monica, Antwerp, Belgium.,Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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Chan GJ, Goddard FGB, Hunegnaw BM, Mohammed Y, Hunegnaw M, Haneuse S, Bekele C, Bekele D. Estimates of Stillbirths, Neonatal Mortality, and Medically Vulnerable Live Births in Amhara, Ethiopia. JAMA Netw Open 2022; 5:e2218534. [PMID: 35749113 PMCID: PMC9233235 DOI: 10.1001/jamanetworkopen.2022.18534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Data on birth outcomes and early mortality are scarce, especially in settings with limited resources. Total births, both stillbirths and live births, are often not counted, yet such data are critical to allocate resources and target interventions to improve survival. OBJECTIVE To estimate the prevalence of stillbirths, neonatal deaths, and medically vulnerable phenotypes, such as preterm births, small-for-gestational-age (SGA), large-for-gestational-age (LGA), and low-birth-weight (LBW) births, in a setting where these key indicators remain largely unknown. DESIGN, SETTING, AND PARTICIPANTS This prospective pregnancy cohort study of women and their newborns was conducted between December 12, 2018, and November 5, 2020. The study was conducted in North Shewa Zone, Amhara, Ethiopia. Data were analyzed from July 2021 to May 2022. MAIN OUTCOMES AND MEASURES Pregnancy status, gestational age, birth weight, and vital status were measured to estimate the prevalence of stillbirths, live births, and medically vulnerable live births (ie, preterm, SGA, LGA, and LBW births). For mortality outcomes, the prevalence of neonatal (overall, early, and late) and perinatal mortality were estimated. RESULTS Among the 2801 enrolled women, the median (IQR) age at conception was 26.5 (22.2-31.0) years, and the median (IQR) gestational age at enrollment was 24 (17-31) weeks. Of the 2628 women (93.8%) with outcome data, 101 pregnancies (3.8%) resulted in an early loss (<28 gestational weeks). Among the 2527 remaining pregnant women, there were 2518 births between 28 and less than 46 weeks' gestation; 2459 (97.7%; 95% CI, 97.0%-98.2%) were live births and 59 (2.3%; 95% CI, 1.8%-3.0%) were stillbirths. Many newborns (41.7%) were born preterm, SGA, LGA, or LBW. The estimated prevalence was 15.1% (95% CI, 13.7%-16.6%) for preterm births, 23.1% (95% CI, 21.3%-25.1%) for SGA births, 10.6% (95% CI, 9.3%-12.1%) for LGA births, and 9.4% (95% CI, 8.2%-10.8%) for LBW births. Among live births, the overall prevalence of neonatal mortality was 3.1% (95% CI, 2.5%-3.9%); mortality was higher among preterm births (7.2%; 95% CI, 4.9%-10.4%), LBW births (12.2%; 95% CI, 8.2%-17.7%), and SGA births (4.1%; 95% CI, 2.6%-6.5%). The prevalence of early neonatal mortality was almost twice as high as the prevalence of late neonatal mortality. The perinatal mortality prevalence was 4.3% (95% CI, 3.6%-5.2%), with a 1.2:1 ratio of stillbirths to first-week deaths. CONCLUSIONS AND RELEVANCE These findings have important implications for newborn health and survival. For policy makers and programmers, accurate data on key indicators of neonatal health provide information for resource allocation and to evaluate progress. For researchers, the findings underlie the importance for further research to develop and deliver interventions that improve health outcomes.
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Affiliation(s)
- Grace J. Chan
- Division of Medicine Critical Care, Boston Children’s Hospital, Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Pediatrics and Child Health, St Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Frederick G. B. Goddard
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Bezawit Mesfin Hunegnaw
- Department of Pediatrics and Child Health, St Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Yahya Mohammed
- HaSET, St Paul’s Hospital Millennium Medical College, Addis Ababa Ethiopia
| | - Mesfin Hunegnaw
- HaSET, St Paul’s Hospital Millennium Medical College, Addis Ababa Ethiopia
| | - Sebastien Haneuse
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Chalachew Bekele
- HaSET, St Paul’s Hospital Millennium Medical College, Addis Ababa Ethiopia
| | - Delayehu Bekele
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Obstetrics and Gynecology, St Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia
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The high maternal TG level at early trimester was associated with the increased risk of LGA newborn in non-obesity pregnant women. Lipids Health Dis 2018; 17:294. [PMID: 30587205 PMCID: PMC6307256 DOI: 10.1186/s12944-018-0936-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 11/29/2018] [Indexed: 11/25/2022] Open
Abstract
Introduction Recent research had shown blood glucose was not the only cause of large for gestational age infant (LGA), the contributions of other fuels such as lipids also play an important role in fetal development. However the association between maternal triglyceride at early trimester and the risk of LGA has not yet been clearly elucidated. This research evaluated the association of maternal early trimester TG level with the risk of LGA infant in Chinese mothers. Methods 2839 pregnant women were recruited at the first visit of their perinatal health care and followed up prospectively till after delivery. The demographic, maternal characteristics were extracted from a questionnaire. Infant characteristics were collected at delivery. Maternal fasting serum total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (HDL-C)levels, were measured in 6~8th, 16th, 24th, and 36th gestational weeks. Fasting serum glucose levels were measured at 6~8th, 24th, and 36th gestational weeks. Logistic regression model was used to calculate the odds ratio (OR) and 95% confidence intervals. Results A consistently lower TG level was observed in mothers with non-LGA infant than mothers with LGA infant and TG level of mothers of LGA infants increased faster than that of control group. The incidence of LGA infants between two groups (TG<1.7 mmol/L and TG ≥ 1.7 mmol/L) was 14.46 and 26.63%, respectively. Mothers with the highest TG level (TG > 1.19 mmol/L) gave birth to infants with higher birth weight (BW) than the other two groups (TG < 0.70 mmol/L and TG:0.70~0.89 mmol/L). When stratified by pre-pregnancy body mass index (pre-BMI), a significantly positive association was founded between the maternal TG level at early trimester and the risk of LGA in non-overweight/obesity women (OR = 1.740, p = 0.034). Conclusions The findings suggested that high maternal TG level at very early trimester was associated with the increased risk of LGA in non-overweight/obesity pregnant women. Moreover, high maternal TG level at first trimester may be an early predictor of LGA.
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Nordman H, Voutilainen R, Antikainen L, Jääskeläinen J. Plasma IL-1 Receptor Antagonist Concentration Has an Inverse Association With Birth Weight in Prepubertal Children. J Endocr Soc 2018; 2:232-239. [PMID: 29594257 PMCID: PMC5841182 DOI: 10.1210/js.2017-00437] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 01/29/2018] [Indexed: 11/29/2022] Open
Abstract
Context: Birth size has an impact on later cardiometabolic risk that is strongly related to low-grade inflammation. Objective: To evaluate plasma interleukin-1 receptor antagonist (IL-1ra) concentrations in relation to birth size and cardiometabolic and inflammatory markers in prepubertal children. Design: A cohort study. Anthropometric data were recorded. Fasting blood samples were collected for plasma analyses of IL-1ra, alanine transaminase, total cholesterol, high- and low-density lipoprotein cholesterols, triglyceride, glucose, and serum analyses of 25-hydroxyvitamin D [25(OH)D] and high-sensitivity C-reactive protein (hs-CRP) concentrations. Participants: Forty-nine large for gestational age (LGA), 56 appropriate for gestational age, and 23 small for gestational age (SGA) children at 5 to 8 years of age were examined. Main Outcome Measures: Differences in IL-1ra concentrations among the birth-size groups and associations between IL-1ra and other metabolic markers were assessed. Results: Body mass index (BMI) standard deviation score (SDS)-adjusted plasma IL-1ra concentrations were highest in the SGA- and lowest in the LGA-born children (P = 0.015). Age- and sex-adjusted IL-1ra concentrations had strongest associations with BMI SDS (P < 0.001) and hs-CRP (P < 0.001, also when further adjusted for BMI SDS). Conclusions: Prepubertal children born SGA had the highest and those born LGA the lowest IL-1ra concentrations in this study cohort. Most associations found between IL-1ra and the studied metabolic parameters were weight related, but the association with hs-CRP remained strong after adjustment for BMI. It seems that at prepuberty, SGA children have a stronger inflammatory state than LGA children and may thus be at a greater risk for later metabolic disturbances.
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Affiliation(s)
- Henrikki Nordman
- Department of Pediatrics, University of Eastern Finland and Kuopio University Hospital, FI-70211 Kuopio, Finland
| | - Raimo Voutilainen
- Department of Pediatrics, University of Eastern Finland and Kuopio University Hospital, FI-70211 Kuopio, Finland
| | - Leena Antikainen
- Department of Pediatrics, University of Eastern Finland and Kuopio University Hospital, FI-70211 Kuopio, Finland
| | - Jarmo Jääskeläinen
- Department of Pediatrics, University of Eastern Finland and Kuopio University Hospital, FI-70211 Kuopio, Finland
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Chiavaroli V, Derraik JGB, Hofman PL, Cutfield WS. Born Large for Gestational Age: Bigger Is Not Always Better. J Pediatr 2016; 170:307-11. [PMID: 26707580 DOI: 10.1016/j.jpeds.2015.11.043] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 10/27/2015] [Accepted: 11/13/2015] [Indexed: 12/22/2022]
Affiliation(s)
| | - José G B Derraik
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Paul L Hofman
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand.
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Tan HC, Roberts J, Catov J, Krishnamurthy R, Shypailo R, Bacha F. Mother's pre-pregnancy BMI is an important determinant of adverse cardiometabolic risk in childhood. Pediatr Diabetes 2015; 16:419-26. [PMID: 25800542 PMCID: PMC4534350 DOI: 10.1111/pedi.12273] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Revised: 02/13/2015] [Accepted: 02/18/2015] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Maternal adiposity is associated with poor offspring cardiometabolic health. We aimed to evaluate the relationship of maternal pre-pregnancy body mass index (BMI) on the BMI, body composition and cardiometabolic characteristics of the offspring. METHODS Forty offspring of overweight/obese mothers (O-OW) and 28 offspring of normal weight mothers (O-NW) underwent evaluation of body composition, abdominal fat distribution, blood pressure measurement, fasting lipids and an oral glucose tolerance test. The anthropometric and cardiometabolic characteristics of O-OW were compared with those of O-NW, and the relationship to maternal BMI was evaluated. RESULTS Subjects (mean age: 12.6 ± 0.4, female: 52.9%) had similar gestational age, birth weight, age, gender, and Tanner stage. However, O-OW had a significantly higher BMI (24.4 ± 1.2 vs. 19.7 ± 0.8 kg/m(2) , p = 0.001), % body fat (31.7 ± 1.6 vs. 24.6 ± 1.1%, p < 0.001), visceral fat (41.9 ± 4.7 vs. 26.1 ± 3.9 cm(2) , p = 0.012) with no difference in lean body mass compared with O-NW. O-OW had lower whole body insulin sensitivity index (WBISI) with an adverse cardiovascular disease risk profile [higher blood pressure (BP), triglycerides to high-density lipoprotein (HDL) ratio, hs-C-reactive protein (CRP) and lower HDL]. In addition to offspring's %body fat (β = -0.60, p < 0.001), maternal pre-pregnancy BMI (β = -0.19, p = 0.046) contributed significantly and independently to the offspring's WBISI (R(2) =0.55, p < 0.001). CONCLUSIONS High pre-pregnancy BMI is an important contributor to excess adiposity, insulin resistance, and cardiometabolic disease risk in the offspring during childhood.
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Affiliation(s)
- Hong Chang Tan
- Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX
| | - James Roberts
- Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA,Department of Obstetrics, Gynecology & Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA,Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Janet Catov
- Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA,Department of Obstetrics, Gynecology & Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA
| | | | - Roman Shypailo
- Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX
| | - Fida Bacha
- Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX
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Kim JE, Lee YH, Huh JH, Kang DR, Rhee Y, Lim SK. Early-stage chronic kidney disease, insulin resistance, and osteoporosis as risk factors of sarcopenia in aged population: the fourth Korea National Health and Nutrition Examination Survey (KNHANES IV), 2008-2009. Osteoporos Int 2014; 25:2189-98. [PMID: 24846317 DOI: 10.1007/s00198-014-2745-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Accepted: 05/07/2014] [Indexed: 12/17/2022]
Abstract
UNLABELLED Sarcopenia means the progressive loss of skeletal muscle mass and strength with aging. In this study, we found that insulin resistance, chronic kidney disease stage 3, and osteoporosis at the femur neck were closely associated with sarcopenia in elderly men. These conditions modified to slow down the progression of sarcopenia. INTRODUCTION Sarcopenia is known to have multiple contributing factors; however, its modifiable risk factors have not yet been determined. The aim of this study was to identify the most influential and modifiable risk factors for sarcopenia in elderly. METHODS This was a population-based, cross-sectional study using data from the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV), 2008-2009. This study included 940 men and 1,324 women aged 65 years and older who completed a body composition analysis using dual-energy X-ray absorptiometry. Sarcopenia was defined as an appendicular skeletal muscle mass divided by height(2) of less than 1 standard deviation below the sex-specific mean for a younger reference group. RESULTS Using univariate analysis, age, body mass index (BMI), homeostasis model assessment for insulin resistance (HOMA-IR), limitations in daily activities, regular exercise, high-risk drinking, family income, osteoporosis, daily energy, and protein intake were associated with sarcopenia in men; age, BMI, limitations in daily activities, regular exercise, occupation, osteoporosis at the total hip, and daily energy intake were associated with sarcopenia in women. In the multivariate logistic regression analysis, HOMA-IR ≥2.5 (odds ratio [OR] for sarcopenia, 2.27; 95 % confidence interval [CI], 1.21-4.25), chronic kidney disease stage 3 (OR, 3.13; 95 % CI, 1.14-8.61), and osteoporosis at the femur neck (OR, 6.83; 95 % CI, 1.08-43.41) were identified as risk factors for sarcopenia in men. CONCLUSIONS Insulin resistance, chronic kidney disease, and osteoporosis at the femur neck should be modified to prevent the acceleration of skeletal muscle loss in elderly men.
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Affiliation(s)
- J E Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea,
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