دورية أكاديمية
Childhood cardiometabolic risk factors associated with the perinatal environment of the maternal-paternal-child triad.
العنوان: | Childhood cardiometabolic risk factors associated with the perinatal environment of the maternal-paternal-child triad. |
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المؤلفون: | McGehee DL; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Saben JL; J.L.S. Scientific Consulting, LLS, Brighton, Colorado, USA., Sims CR; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Turner D; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA., Thakali KM; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Diaz EC; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.; Arkansas Children's Research Institute, Little Rock, Arkansas, USA., Sobik SR; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Edwards T; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Arkansas Children's Research Institute, Little Rock, Arkansas, USA., Krukowski RA; School of Medicine, University of Virginia, Charlottesville, Virginia, USA., Williams DK; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA., Børsheim E; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.; Arkansas Children's Research Institute, Little Rock, Arkansas, USA., Andres A; Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.; Arkansas Children's Research Institute, Little Rock, Arkansas, USA. |
المصدر: | Pediatric obesity [Pediatr Obes] 2024 Aug 25, pp. e13162. Date of Electronic Publication: 2024 Aug 25. |
Publication Model: | Ahead of Print |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Wiley-Blackwell for the International Association for the Study of Obesity Country of Publication: England NLM ID: 101572033 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-6310 (Electronic) Linking ISSN: 20476302 NLM ISO Abbreviation: Pediatr Obes Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Oxford, UK : Wiley-Blackwell for the International Association for the Study of Obesity |
مستخلص: | Introduction: Clustering of cardiometabolic risk factors in childhood significantly increases the risk of atherosclerotic cardiovascular disease later in life. Identification of modifiable parental factors that contribute to offspring cardiometabolic health is critical for the prevention of disease. The objective was to identify factors associated with child cardiometabolic risk factors at age 5 years. Methods: Triads from a longitudinal cohort were recalled at 5 years (n = 68). Dietary intake, anthropometrics, physical activity and serum-based risk factors were collected. Best subset selection, linear and logistic regressions were used to identify triad variables associated with increased risk of cardiometabolic risk factor clustering at age 5 years. Results: In this cohort, best subset modelling revealed that increased paternal fat mass, serum low-density lipoproteins and triglycerides, maternal dietary added sugar and being female were associated with increased odds of offspring having two or more cardiometabolic risk factors at age 5 years. Conclusions: Dietary and exercise interventions prior to conception targeting paternal adiposity and dyslipidaemia as well as maternal dietary habits could decrease children's cardiometabolic risk in later life. (© 2024 World Obesity Federation.) |
References: | Goossens GH. The metabolic phenotype in obesity: fat mass, body fat distribution, and adipose tissue function. Obes Facts. 2017;10:207‐215. Zimmet P, Alberti KG, Kaufman F, et al. The metabolic syndrome in children and adolescents ‐ an IDF consensus report. Pediatr Diabetes. 2007;8:299‐306. Chung ST, Krenek A, Magge SN. Childhood obesity and cardiovascular disease risk. Curr Atheroscler Rep. 2023;25:405‐415. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents, National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011;128(Suppl 5):S213‐S256. Wardle J, Carnell S, Haworth CM, Plomin R. Evidence for a strong genetic influence on childhood adiposity despite the force of the obesogenic environment. Am J Clin Nutr. 2008;87:398‐404. Whitfield JB. Genetic insights into cardiometabolic risk factors. Clin Biochem Rev. 2014;35:15‐36. Shi Q, Qi K. Developmental origins of health and disease: impact of paternal nutrition and lifestyle. Pediatr Investig. 2023;7:111‐131. Eberle C, Kirchner MF, Herden R, Stichling S. Paternal metabolic and cardiovascular programming of their offspring: a systematic scoping review. PLoS One. 2020;15:e0244826. Dearden L, Ozanne SE. Early life impacts of maternal obesity: a window of opportunity to improve the health of two generations. Philos Trans R Soc Lond B Biol Sci. 2023;378:20220222. Bider‐Canfield Z, Martinez MP, Wang X, et al. Maternal obesity, gestational diabetes, breastfeeding and childhood overweight at age 2 years. Pediatr Obes. 2017;12:171‐178. Hur SSJ, Cropley JE, Suter CM. Paternal epigenetic programming: evolving metabolic disease risk. J Mol Endocrinol. 2017;58:R159‐R168. Gaillard R, Steegers EA, Duijts L, et al. Childhood cardiometabolic outcomes of maternal obesity during pregnancy: the generation R study. Hypertension. 2014;63:683‐691. Heard‐Lipsmeyer ME, Diaz EC, Sims CR, et al. Maternal adiposity is associated with fat mass accretion in female but not male offspring during the first 2 years of life. Obesity (Silver Spring). 2020;28:624‐630. Most J, Marlatt KL, Altazan AD, Redman LM. Advances in assessing body composition during pregnancy. Eur J Clin Nutr. 2018;72:645‐656. van Raaij JM, Peek ME, Vermaat‐Miedema SH, Schonk CM, Hautvast JG. New equations for estimating body fat mass in pregnancy from body density or total body water. Am J Clin Nutr. 1988;48:24‐29. Andres A, Gomez‐Acevedo H, Badger TM. Quantitative nuclear magnetic resonance to measure fat mass in infants and children. Obesity (Silver Spring). 2011;19:2089‐2095. Guenther PM, Kirkpatrick SI, Reedy J, et al. The healthy eating Index‐2010 is a valid and reliable measure of diet quality according to the 2010 dietary guidelines for Americans. J Nutr. 2014;144:399‐407. Black AE. Critical evaluation of energy intake using the Goldberg cut‐off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord. 2000;24:1119‐1130. Yokoyama H, Emoto M, Fujiwara S, et al. Quantitative insulin sensitivity check index and the reciprocal index of homeostasis model assessment are useful indexes of insulin resistance in type 2 diabetic patients with wide range of fasting plasma glucose. J Clin Endocrinol Metab. 2004;89:1481‐1484. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta‐cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28:412‐419. de Onis M, Lobstein T. Defining obesity risk status in the general childhood population: which cut‐offs should we use? Int J Pediatr Obes. 2010;5:458‐460. Alpizar M, Frydman TD, Resendiz‐Rojas JJ, Trejo‐Rangel MA, Aldecoa‐Castillo JM. Fat mass index (FMI) as a trustworthy overweight and obesity marker in Mexican pediatric population. Children (Basel). 2020;7:19. Daniels SR, Irwin B, Christakis D, Dennison B, Gidding S, et al. Expert panel on integrated guidelines for cardiovascular health and risk Reduction in children and adolescents full report. Services USDoHaH. National Institutes of Health; National Heart, Lung, and Blood Institute; Bethesda, MD. 2012. Shypailo R. Age‐Based Pediatric Blood Pressure Reference Charts. Baylor College of Medicine, Children's Nutrition Research Center, Body Composition Laboratory Web Site; Houston, TX. 2018. Flynn JT, Kaelber DC, Baker‐Smith CM, et al. Clinical practice guideline for screening and Management of High Blood Pressure in children and adolescents. Pediatrics. 2017;140:e20171904. Peplies J, Jimenez‐Pavon D, Savva SC, et al. Percentiles of fasting serum insulin, glucose, HbA1c and HOMA‐IR in pre‐pubertal normal weight European children from the IDEFICS cohort. Int J Obes (Lond). 2014;38(Suppl 2):S39‐S47. Heinzen E, Sinnwell J, Atkinson E, Gunderson T, Dougherty G. Arsenal: an Arsenal of ‘R' Functions for Large‐Scale Statistical Summaries. R Package Version 3.6.3. 2021. https://CRAN.R-project.org/package=arsenal. van Buuren S, Groothuis‐Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45:1‐67. Calcagno V, de Mazancourt C. Glmulti: an R package for easy automated model selection with (generalized) linear models. J Stat Softw. 2010;34:1‐29. Friedman J, Tibshirani R, Hastie T, et al. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1‐22. Gutch M, Kumar S, Razi SM, Gupta KK, Gupta A. Assessment of insulin sensitivity/resistance. Indian J Endocrinol Metab. 2015;19:160‐164. Donkor HM, Grundt JH, Juliusson PB, et al. Social and somatic determinants of underweight, overweight and obesity at 5 years of age: a Norwegian regional cohort study. BMJ Open. 2017;7:e014548. Huus K, Ludvigsson JF, Enskar K, Ludvigsson J. Risk factors in childhood obesity‐findings from the all babies in Southeast Sweden (ABIS) cohort. Acta Paediatr. 2007;96:1321‐1325. Andres A, Hull HR, Shankar K, Casey PH, Cleves MA, Badger TM. Longitudinal body composition of children born to mothers with normal weight, overweight, and obesity. Obesity (Silver Spring). 2015;23:1252‐1258. Sorensen T, Ajslev TA, Angquist L, Morgen CS, Ciuchi IG, Davey SG. Comparison of associations of maternal peri‐pregnancy and paternal anthropometrics with child anthropometrics from birth through age 7 y assessed in the Danish National Birth Cohort. Am J Clin Nutr. 2016;104:389‐396. Ashwell M, Gunn P, Gibson S. Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis. Obes Rev. 2012;13:275‐286. Al‐Beltagi M, Bediwy AS, Saeed NK. Insulin‐resistance in paediatric age: its magnitude and implications. World J Diabetes. 2022;13:282‐307. Peng L, Wu S, Zhou N, Zhu S, Liu Q, Li X. Clinical characteristics and risk factors of nonalcoholic fatty liver disease in children with obesity. BMC Pediatr. 2021;21:122. Veena SR, Krishnaveni GV, Karat SC, Osmond C, Fall CH. Testing the fetal overnutrition hypothesis; the relationship of maternal and paternal adiposity to adiposity, insulin resistance and cardiovascular risk factors in Indian children. Public Health Nutr. 2013;16:1656‐1666. Khandwala YS, Baker VL, Shaw GM, Stevenson DK, Lu Y, Eisenberg ML. Association of paternal age with perinatal outcomes between 2007 and 2016 in the United States: population based cohort study. BMJ. 2018;363:k4372. Ahn HY, Hwang IC. Paternal age at birth and metabolic risk factors in adolescents: a nationwide survey. Public Health. 2019;175:1‐3. Jenkins TG, Aston KI, Meyer T, Carrell DT. The sperm epigenome, male aging, and potential effects on the embryo. Adv Exp Med Biol. 2015;868:81‐93. Kereliuk SM, Brawerman GM, Dolinsky VW. Maternal macronutrient consumption and the developmental origins of metabolic disease in the offspring. Int J Mol Sci. 2017;18:1451. Borengasser SJ, Zhong Y, Kang P, et al. Maternal obesity enhances white adipose tissue differentiation and alters genome‐scale DNA methylation in male rat offspring. Endocrinology. 2013;154:4113‐4125. Francis EC, Dabelea D, Shankar K, Perng W. Maternal diet quality during pregnancy is associated with biomarkers of metabolic risk among male offspring. Diabetologia. 2021;64:2478‐2490. Hinkle SN, Albert PS, Mendola P, et al. The association between parity and birthweight in a longitudinal consecutive pregnancy cohort. Paediatr Perinat Epidemiol. 2014;28:106‐115. |
معلومات مُعتمدة: | R01 ES032176 United States ES NIEHS NIH HHS; RO1 DK107516 United States DK NIDDK NIH HHS; 6026-10700-001-000D U.S. Department of Agriculture |
فهرسة مساهمة: | Keywords: cardiometabolic health; childhood obesity; maternal factors; parental factors; paternal factors |
تواريخ الأحداث: | Date Created: 20240826 Latest Revision: 20240826 |
رمز التحديث: | 20240826 |
DOI: | 10.1111/ijpo.13162 |
PMID: | 39183454 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2047-6310 |
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DOI: | 10.1111/ijpo.13162 |