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Wright CM, Petermann-Rocha F, Bland R, Ashorn P, Zaman S, Ho FK. Weight velocity in addition to latest weight does not improve the identification of wasting, or the prediction of stunting and mortality: a longitudinal analysis using data from Malawi, South Africa, and Pakistan. J Nutr 2024:S0022-3166(24)00350-X. [PMID: 38936551 DOI: 10.1016/j.tjnut.2024.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/28/2024] [Accepted: 06/21/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND In low/middle-income countries, most nutritional assessments use the latest weights, without reference to growth trajectory. OBJECTIVE This study explores whether velocity, in addition to the latest weight, improves the prediction of wasting, stunting or mortality in the first two years of life. METHODS We analysed a combined data set with weight and height data collected monthly in the first year of 3447 children from Pakistan, Malawi, South Africa, with height and survival recorded till 24 months. The main exposures were weight-for-age z-score (WAZ) at the end of each 2-month period and weight velocity-for-age z-score (WVZ2) across that period. The outcomes were wasting, stunting or all-cause mortality in the next 1-2 months. As a sensitivity analysis, we also used WVZ over 6 months (WVZ6), with matching WAZ. Cox proportional hazard models with repeated growth measures were used to study the association between exposures and mortality. Mixed Poisson models were used for stunting and wasting. RESULTS Children who were already stunted or wasted were most likely to remain so. WVZ2 was associated with a lower risk of subsequent stunting (RR 0.95; 95% CI 0.93-0.96), but added minimal prediction (difference in AUC = 0.004) compared to a model including only WAZ. Similarly, WVZ2 was associated with wasting (RR 0.74; 95% CI 0.72-0.76) but the prediction was only marginally greater than for WAZ (difference in AUC = 0.015). Compared to WAZ, WVZ6 was less predictive for both wasting and stunting. Low WVZ6 (but not WVZ2) was associated with increased mortality (HR 0.75, 95% CI 0.67-0.85), but added marginal only prediction to a model including WAZ alone (difference in C = 0.015). CONCLUSIONS The key anthropometric determinant of impending wasting, stunting, and mortality appears to be how far below the normal range the child's weight is, rather than how they reached that position.
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Affiliation(s)
- Charlotte M Wright
- School of Medicine, Dentistry & Nurising, University of Glasgow, Glasgow, UK.
| | - Fanny Petermann-Rocha
- Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile
| | - Ruth Bland
- School of Medicine, University of Glasgow, UK
| | - Per Ashorn
- Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Shakila Zaman
- Department of Public Health, University of Health Sciences, Lahore, Pakistan
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2
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O'Shea TM, Jensen ET, Yi JX, Lester B, Aschner JL, Stroustrup A, Zhang X, McGrath M, Sanderson K, Joseph RM, Singh R, Thompson AL, Hofheimer J, Vohr B, McGowan E, Santos H, Fry RC. Association of Growth During Infancy with Neurodevelopment and Obesity in Children Born Very Preterm: The Environmental Influences on Child Health Outcomes Cohort. J Pediatr 2024; 271:114050. [PMID: 38641165 DOI: 10.1016/j.jpeds.2024.114050] [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: 12/30/2023] [Revised: 04/03/2024] [Accepted: 04/06/2024] [Indexed: 04/21/2024]
Abstract
OBJECTIVE To evaluate associations between change in weight z score after neonatal intensive care unit (NICU) discharge and neurodevelopmental outcomes and obesity at 12-48 months of age among individuals born very preterm. STUDY DESIGN This secondary analysis used data from infants born very preterm participating in the Environmental influences on Child Health Outcomes cohort (n = 1400). Growth during infancy was calculated as change in weight z score between NICU discharge and follow-up at a mean of 27 months of age. Very low weight gain was defined as a change in weight z score <-1.67; very high weight gain was a change in weight z score >1.67. Neurodevelopmental outcomes included the Bayley Scales of Infant and Toddler Development, Child Behavior Checklist 1.5-5 years, and Modified Checklist for Autism in Toddlers. Multivariable linear regression was used to estimate associations between increase in weight z score and neurodevelopmental outcomes. RESULTS Very low weight gain between NICU discharge and follow-up (experienced by 6.4% of participants) was associated with lower scores on cognitive (adjusted mean difference: -4.26; 95% CI: -8.55, -0.04) and language (adjusted mean difference: -4.80; 95% CI: -9.70, -0.11) assessments. Very high weight gain (experienced by 13.6% of participants) was associated with an increased obesity risk (adjusted relative risk: 6.20; 95% CI: 3.99, 9.66) but not with neurodevelopmental outcomes. CONCLUSIONS Very high weight gain in the first 12-48 months after NICU discharge was associated with a higher risk of obesity at follow-up; very low weight gain was associated with lower scores on cognitive and language assessments.
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Affiliation(s)
- T Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC.
| | - Elizabeth T Jensen
- Department of Epidemiology and Prevention, Wake Forest University, Winston-Salem, NC
| | - Joe X Yi
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Barry Lester
- Department of Psychiatry and Human Behavior, The Alpert Medical School of Brown University, Providence, RI
| | - Judy L Aschner
- Pediatrics, Albert Einstein College of Medicine, Bronx, NY; Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ
| | - Annemarie Stroustrup
- Pediatrics, Northwell Health, Cohen Children's Medical Center and the Departments of Pediatrics and Occupational Medicine, Epidemiology & Prevention, Zucker School of Medicine at Hofstra, New Hyde Park, NY
| | - Xueying Zhang
- Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Monica McGrath
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD
| | - Keia Sanderson
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC; Department of Internal Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA
| | - Rachana Singh
- Department of Pediatrics, Tufts University School of Medicine, Boston, MA
| | - Amanda L Thompson
- Department of Anthropology, University of North Carolina, Chapel Hill, NC
| | - Julie Hofheimer
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Betty Vohr
- Department of Pediatrics, Brown University, Providence, RI
| | | | - Hudson Santos
- University of Miami School of Nursing and Health Studies, Coral Gables, FL
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC
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3
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Tao MY, Liu X, Chen ZL, Yang MN, Xu YJ, He H, Fang F, Chen Q, Mao XX, Zhang J, Ouyang F, Shen XH, Li F, Luo ZC, Shen X, Huang H, Sun K, Zhang J, Wang W, Xu W, Ouyang F, Li F, Huang Y, Zhang J, Yan C, Shen L, Bao Y, Tian Y, Chen W, Zhang H, Tong C, Xu J, Zhang L, Zhang Y, Jiang F, Yu X, Yu G, Chen J, Zhang Y, Li X, Cheng H, Zhang Q, Duan T, Hua J, Peng H. Fetal overgrowth and weight trajectories during infancy and adiposity in early childhood. Pediatr Res 2024; 95:1372-1378. [PMID: 38200323 DOI: 10.1038/s41390-023-02991-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 11/02/2023] [Accepted: 12/06/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Large-for-gestational age (LGA), a marker of fetal overgrowth, has been linked to obesity in adulthood. Little is known about how infancy growth trajectories affect adiposity in early childhood in LGA. METHODS In the Shanghai Birth Cohort, we followed up 259 LGA (birth weight >90th percentile) and 1673 appropriate-for-gestational age (AGA, 10th-90th percentiles) children on body composition (by InBody 770) at age 4 years. Adiposity outcomes include body fat mass (BFM), percent body fat (PBF), body mass index (BMI), overweight/obesity, and high adiposity (PBF >85th percentile). RESULTS Three weight growth trajectories (low, mid, and high) during infancy (0-2 years) were identified in AGA and LGA subjects separately. BFM, PBF and BMI were progressively higher from low- to mid-to high-growth trajectories in both AGA and LGA children. Compared to the mid-growth trajectory, the high-growth trajectory was associated with greater increases in BFM and the odds of overweight/obesity or high adiposity in LGA than in AGA children (tests for interactions, all P < 0.05). CONCLUSIONS Weight trajectories during infancy affect adiposity in early childhood regardless of LGA or not. The study is the first to demonstrate that high-growth weight trajectory during infancy has a greater impact on adiposity in early childhood in LGA than in AGA subjects. IMPACT Large-for-gestational age (LGA), a marker of fetal overgrowth, has been linked to obesity in adulthood, but little is known about how weight trajectories during infancy affect adiposity during early childhood in LGA subjects. The study is the first to demonstrate a greater impact of high-growth weight trajectory during infancy (0-2 years) on adiposity in early childhood (at age 4 years) in subjects with fetal overgrowth (LGA) than in those with normal birth size (appropriate-for-gestational age). Weight trajectory monitoring may be a valuable tool in identifying high-risk LGA children for close follow-ups and interventions to decrease the risk of obesity.
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Affiliation(s)
- Min-Yi Tao
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
- Lunenfeld-Tanenbaum Research Institute, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Temerity Faculty of Medicine, and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, M5G 1X5, Canada
| | - Xin Liu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Zi-Lin Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Meng-Nan Yang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Ya-Jie Xu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Hua He
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Fang Fang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Xuan-Xia Mao
- Department of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
- Department of Clinical Nutrition, College of Health Science and Technology, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Fengxiu Ouyang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China
| | - Xiu-Hua Shen
- Department of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
- Department of Clinical Nutrition, College of Health Science and Technology, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
| | - Fei Li
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China.
| | - Zhong-Cheng Luo
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Early Life Health Institute, and Department of Pediatrics, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, 200092, Shanghai, China.
- Lunenfeld-Tanenbaum Research Institute, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Temerity Faculty of Medicine, and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, M5G 1X5, Canada.
| | - Xiaoming Shen
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Huang
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kun Sun
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Zhang
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiye Wang
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiping Xu
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fengxiu Ouyang
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Li
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yin Huang
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinsong Zhang
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chonghuai Yan
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lisong Shen
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yixiao Bao
- Xinhua Hospital and Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Tian
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiwei Chen
- International Peace Maternity and Child Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huijuan Zhang
- International Peace Maternity and Child Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chuanliang Tong
- International Peace Maternity and Child Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Xu
- International Peace Maternity and Child Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Zhang
- International Peace Maternity and Child Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Zhang
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fang Jiang
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaodan Yu
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guangjun Yu
- Shanghai Children's Hospital, Shanghai, China
| | - Jinjin Chen
- Shanghai Children's Hospital, Shanghai, China
| | - Yu Zhang
- Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaotian Li
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Haidong Cheng
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Qinying Zhang
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Tao Duan
- Shanghai First Maternity and Infant Care Hospital, Tong Ji University, Shanghai, China
| | - Jing Hua
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Hua Peng
- Maternal and Child Health Institute of Yangpu District, Shanghai, China
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4
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Lelijveld N, Cox S, Anujuo K, Amoah AS, Opondo C, Cole TJ, Wells JCK, Thompson D, McKenzie K, Abera M, Berhane M, Kerac M. Post-malnutrition growth and its associations with child survival and non-communicable disease risk: a secondary analysis of the Malawi 'ChroSAM' cohort. Public Health Nutr 2023; 26:1658-1670. [PMID: 36876519 PMCID: PMC10466107 DOI: 10.1017/s1368980023000411] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 01/05/2023] [Accepted: 02/06/2023] [Indexed: 03/07/2023]
Abstract
OBJECTIVE To explore patterns of post-malnutrition growth (PMGr) during and after treatment for severe malnutrition and describe associations with survival and non-communicable disease (NCD) risk 7 years post-treatment. DESIGN Six indicators of PMGr were derived based on a variety of timepoints, weight, weight-for-age z-score and height-for-age z-score (HAZ). Three categorisation methods included no categorisation, quintiles and latent class analysis (LCA). Associations with mortality risk and seven NCD indicators were analysed. SETTING Secondary data from Blantyre, Malawi between 2006 and 2014. PARTICIPANTS A cohort of 1024 children treated for severe malnutrition (weight-for-length z-score < 70 % median and/or MUAC (mid-upper arm circumference) < 110 mm and/or bilateral oedema) at ages 5-168 months. RESULTS Faster weight gain during treatment (g/d) and after treatment (g/kg/day) was associated with lower risk of death (adjusted OR 0·99, 95 % CI 0·99, 1·00; and adjusted OR 0·91, 95 % CI 0·87, 0·94, respectively). In survivors (mean age 9 years), it was associated with greater hand grip strength (0·02, 95 % CI 0·00, 0·03) and larger HAZ (6·62, 95 % CI 1·31, 11·9), both indicators of better health. However, faster weight gain was also associated with increased waist:hip ratio (0·02, 95 % CI 0·01, 0·03), an indicator of later-life NCD risk. The clearest patterns of association were seen when defining PMGr based on weight gain in g/d during treatment and using the LCA method to describe growth patterns. Weight deficit at admission was a major confounder. CONCLUSIONS A complex pattern of benefits and risks is associated with faster PMGr. Both initial weight deficit and rate of weight gain have important implications for future health.
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Affiliation(s)
- Natasha Lelijveld
- Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
- Emergency Nutrition Network (ENN), Oxford, UK
- Centre for Maternal, Adolescent & Reproductive Child Health (MARCH), London School of Hygiene & Tropical Medicine, London, UK
| | - Sioned Cox
- Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
| | - Kenneth Anujuo
- Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
| | - Abena S Amoah
- Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
- Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi
| | - Charles Opondo
- Department of Medical Statistics, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Tim J Cole
- Population Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Jonathan CK Wells
- Population Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Debbie Thompson
- Caribbean Institute for Health Research, The University of the West Indies, Kingston, Jamaica
| | - Kimberley McKenzie
- Caribbean Institute for Health Research, The University of the West Indies, Kingston, Jamaica
| | | | | | - Marko Kerac
- Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
- Centre for Maternal, Adolescent & Reproductive Child Health (MARCH), London School of Hygiene & Tropical Medicine, London, UK
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5
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Gilley SP, Harrall KK, Friedman C, Glueck DH, Cohen CC, Perng W, Sauder KA, Krebs NF, Shankar K, Dabelea D. Association of Maternal BMI and Rapid Infant Weight Gain With Childhood Body Size and Composition. Pediatrics 2023; 151:e2022059244. [PMID: 37016999 PMCID: PMC11033707 DOI: 10.1542/peds.2022-059244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/27/2023] [Indexed: 04/06/2023] Open
Abstract
OBJECTIVES Maternal prepregnancy BMI (ppBMI) and an infant's rapid weight gain (RWG) are each associated with increased risk for childhood obesity. We hypothesized that ppBMI and RWG interact to further raise childhood obesity risk. METHODS Mother-infant dyads (n = 414) from the Healthy Start Study, an observational prebirth cohort, were included. RWG was defined as a weight-for-age z score increase of ≥0.67 from birth to 3 to 7 months. Body composition was measured by air displacement plethysmography at age 4 to 7 years. General linear regression models were fit to characterize associations between ppBMI, RWG, and their interaction with the outcomes of childhood BMI-for-age z score and percent fat mass (%FM). RESULTS A total of 18.6% (n = 77) of offspring experienced RWG. Maternal ppBMI and RWG were both positively associated with offspring BMI z score and %FM. RWG amplified the association between ppBMI and BMI z score, especially among females. Females exposed to maternal obesity and RWG had an average BMI at the 94th percentile (1.50 increase in childhood BMI z score) compared with those exposed to normal ppBMI and no RWG (average childhood BMI at the 51st percentile). RWG had a weaker effect on the association between ppBMI and %FM. Adjustment for breastfeeding status or childhood daily caloric intake did not significantly alter findings. CONCLUSIONS Rapid infant weight gain interacts with maternal ppBMI to jointly exacerbate risk of childhood obesity. Pediatric providers should monitor infants for RWG, especially in the context of maternal obesity, to reduce future risk of obesity.
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Affiliation(s)
- Stephanie P. Gilley
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
| | - Kylie K. Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
| | - Chloe Friedman
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
| | - Deborah H. Glueck
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
| | - Catherine C. Cohen
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, Colorado
| | - Katherine A. Sauder
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
| | - Nancy F. Krebs
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
| | - Kartik Shankar
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
| | - Dana Dabelea
- Department of Pediatrics, Section of Nutrition, University of Colorado School of Medicine, Aurora, Colorado
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, and Aurora, Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, Colorado
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6
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Gebreegziabher E, Bountogo M, Sié A, Zakane A, Compaoré G, Ouedraogo T, Lebas E, Nyatigo F, Glymour M, Arnold BF, Lietman TM, Oldenburg CE. Influence of maternal age on birth and infant outcomes at 6 months: a cohort study with quantitative bias analysis. Int J Epidemiol 2023; 52:414-425. [PMID: 36617176 PMCID: PMC10114123 DOI: 10.1093/ije/dyac236] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 12/15/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Maternal age is increasingly recognized as a predictor of birth outcomes. Given the importance of birth and growth outcomes for children's development, wellbeing and survival, this study examined the effect of maternal age on infant birth and growth outcomes at 6 months and mortality. Additionally, we conducted quantitative bias analysis (QBA) to estimate the role of selection bias and unmeasured confounding on the effect of maternal age on infant mortality. METHODS We used data from randomized-controlled trials (RCTs) of 21 555 neonates in Burkina Faso conducted in 2019-2020. Newborns of mothers aged 13-19 years (adolescents) and 20-40 years (adults) were enrolled in the study 8-27 days after birth and followed for 6 months. Measurements of child's anthropometric measures were collected at baseline and 6 months. We used multivariable linear regression to compare child anthropometric measures at birth and 6 months, and logistic regression models to obtain the odds ratio (OR) of all-cause mortality. Using multidimensional deterministic analysis, we assessed scenarios in which the difference in selection probability of adolescent and adult mothers with infant mortality at 6 months increased from 0% to 5%, 10%, 15% and 20% if babies born to adolescent mothers more often died during the first week or were of lower weight and hence were not eligible to be included in the original RCT. Using probabilistic bias analysis, we assessed the role of unmeasured confounding by socio-economic status (SES). RESULTS Babies born to adolescent mothers on average had lower weight at birth, lower anthropometric measures at baseline, similar growth outcomes from enrolment to 6 months and higher odds of all-cause mortality by 6 months (adjusted OR = 2.17, 95% CI 1.35 to 3.47) compared with those born to adult mothers. In QBA, we found that differential selection of adolescent and adult mothers could bias the observed effect (OR = 2.24, 95% CI 1.41 to 3.57) towards the null [bias-corrected OR range: 2.37 (95% CI 1.49 to 3.77) to 2.84 (95% CI 1.79 to 4.52)], whereas unmeasured confounding by SES could bias the observed effect away from the null (bias-corrected OR: 2.06, 95% CI 1.31 to 2.64). CONCLUSIONS Our findings suggest that delaying the first birth from adolescence to adulthood may improve birth outcomes and reduce mortality of neonates. Babies born to younger mothers, who are smaller at birth, may experience catch-up growth, reducing some of the anthropometric disparities by 6 months of age.
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Affiliation(s)
- Elisabeth Gebreegziabher
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | | | - Ali Sié
- Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso
| | | | | | | | - Elodie Lebas
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA
| | - Fanice Nyatigo
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA
| | - Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Benjamin F Arnold
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.,Department of Ophthalmology, University of California, San Francisco, CA, USA
| | - Thomas M Lietman
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.,Department of Ophthalmology, University of California, San Francisco, CA, USA
| | - Catherine E Oldenburg
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.,Department of Ophthalmology, University of California, San Francisco, CA, USA
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7
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Ahmad N, Sutan R, Tamil AM, Hajib N. Growth patterns and nutritional status of small for gestational age infants in Malaysia during the first year of life. CHILD HEALTH NURSING RESEARCH 2022; 27:317-327. [PMID: 35004520 PMCID: PMC8650951 DOI: 10.4094/chnr.2021.27.4.317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 07/25/2021] [Accepted: 09/08/2021] [Indexed: 01/02/2023] Open
Abstract
Purpose This study aimed to identify small for gestational age (SGA) infants' growth patterns, nutritional status, and associated factors. Methods This prospective cohort study was conducted at primary-care child health clinics in Greater Kuala Lumpur, Malaysia. The sample consisted of infants who fulfilled the criteria and were born in 2019. The anthropometric data of infants were assessed at birth and at 1, 3, 6, 9, and 12 months. Results A total of 328 infants were analysed. In total, 27.7%(n=91) of the subjects were SGA infants, and 237 of them were not. Significant differences in the median weight-for-age and length-for-age z-scores were observed between SGA and non-SGA infants at birth, 1 month, 6 months, and 12 months. There was a significant difference between the growth patterns of SGA and non-SGA infants. Birth weight and sex significantly predicted the nutritional status(stunting and underweight) of SGA infants during their first year of life. Conclusion SGA infants can catch up to achieve normal growth during their first year of life. Even though the nutritional status of SGA infants trends worse than non-SGA infants, adequate infant birth weight monitoring and an emphasis on nutritional advice are crucial for maintaining well-being.
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Affiliation(s)
- Norain Ahmad
- Medical Doctor, Department of Community Health, Faculty of Medicine, University Kebangsaan Malaysia, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia
| | - Rosnah Sutan
- Associate Professor, Department of Community Health, Faculty of Medicine, University Kebangsaan Malaysia, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia
| | - Azmi Mohd Tamil
- Associate Professor, Department of Community Health, Faculty of Medicine, University Kebangsaan Malaysia, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia
| | - Noriah Hajib
- Public Health Physician, Cheras Health District, Kuala Lumpur Health Department Ministry of Health, Kuala Lumpur, Malaysia
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8
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Longitudinal study of the newborn small for gestational age. Growth recovery and conditioning factors. NUTR HOSP 2022; 39:520-529. [PMID: 35012321 DOI: 10.20960/nh.03907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND small-for-gestational-age (SGA) newborns present a higher morbidity and mortality rate when compared to infants born appropriate for gestational age (AGA), as well as insufficient growth, with height far from their target and in some cases a low final height (< -2 SDs). OBJECTIVE the aim of this study was to determine when catch-up growth (CUG) in height occurs in these children, and which factors are associated with lack of CUG. MATERIAL AND METHODS this is a retrospective study of SGAs born between 2011 and 2015 in a secondary hospital. Anthropometric measurements were taken consecutively until CUG was reached, and fetal, placental, parental, newborn, and postnatal variables were studied. RESULTS a total of 358 SGAs were included from a total of 5,585 live newborns. At 6 and 48 months of life, 93.6 % and 96.4 % of SGAs achieved CUG, respectively. By subgroups, symmetric SGAs performed worse than asymmetric SGAs with CUG in 84 % and 92 % at 6 and 48 months of life, respectively. The same occurred in the subgroup of preterm SGAs with respect to term SGAs, with worse CUGs of 88.2 % and 91.2 % at 6 and 48 months of life, respectively. Prematurity, symmetrical SGA, intrauterine growth retardation (IUGR), preeclampsia, previous child SGA, perinatal morbidity, and comorbidity during follow-up were associated with absence of CUG. CONCLUSIONS the majority of SGAs had CUG in the first months of life. The worst outcomes were for preterm and symmetric SGAs.
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9
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Lin J, Wang C, Li S, Zhang J, Jin L, Tong M, Meng W, Ren A, Chen L, Jin L. Periconceptional Folic Acid Supplementation and Newborn Birth Weights. Front Pediatr 2022; 10:844404. [PMID: 35573945 PMCID: PMC9096220 DOI: 10.3389/fped.2022.844404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/22/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The relationship between maternal folic acid supplementation and the birth weights of offspring remains inconclusive. AIM To examine the associations between maternal supplementation with folic acid only (FAO) or multiple micronutrients containing folic acid (MMFA) and newborn birth weights, as well as the risk of small for gestational week age (SGA) and large for gestational week age (LGA) newborns. METHODS Data on 31,107 births from 2015 to 2018 were extracted from the population-based prenatal health care system in a district of Beijing. Generalized linear and logistic regression models were used to evaluate the association between maternal periconceptional folic acid supplementation and birth weights or with risk of small for gestational week age (SGA) and large for gestational week age (LGA). RESULTS Compared with newborns whose mothers did not use any folic acid supplements, the newborns with maternal periconceptional folic acid supplementation had similar median birth weight but had a lower risk of SGA [adjusted odds ratio (aOR) = 0.81 (95% CI: 0.68-0.97)], however newborns born to mothers who took multiple micronutrients with folic acid (MMFA) with high compliance had a 25.59 g (95% CI: 6.49-44.69) higher median birth weight. Periconceptional women took folic acid only (FAO) (aOR = 0.83; 95%CI: 0.67-1.01) or MMFA (aOR = 0.74; 95%CI: 0.60-0.91) with high compliance decreased the risk of SGA, but has no impact on the risk of LGA. CONCLUSION Periconceptional FAO supplementation has no impact on the median birth weight of offspring and the risk of LGA. Compared with FAO, MMFA supplementation may increase the average birth weight, and a high compliance of supplementation with FAO or MMFA may reduce the risk of SGA, with MMFA having ad stronger effect than FAO.
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Affiliation(s)
- Jing Lin
- Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Cheng Wang
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, The National Health Commission of the People's Republic of China, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Sisi Li
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, The National Health Commission of the People's Republic of China, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jie Zhang
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, The National Health Commission of the People's Republic of China, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Lei Jin
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, The National Health Commission of the People's Republic of China, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenying Meng
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Aiguo Ren
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, The National Health Commission of the People's Republic of China, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Lei Chen
- Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.,The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Lei Jin
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, The National Health Commission of the People's Republic of China, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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10
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Asahara SI, Inoue H, Kido Y. Regulation of Pancreatic β-Cell Mass by Gene-Environment Interaction. Diabetes Metab J 2022; 46:38-48. [PMID: 35135077 PMCID: PMC8831821 DOI: 10.4093/dmj.2021.0045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 05/28/2021] [Indexed: 11/15/2022] Open
Abstract
The main pathogenic mechanism of diabetes consists of an increase in insulin resistance and a decrease in insulin secretion from pancreatic β-cells. The number of diabetic patients has been increasing dramatically worldwide, especially in Asian people whose capacity for insulin secretion is inherently lower than that of other ethnic populations. Causally, changes of environmental factors in addition to intrinsic genetic factors have been considered to have an influence on the increased prevalence of diabetes. Particular focus has been placed on "gene-environment interactions" in the development of a reduced pancreatic β-cell mass, as well as type 1 and type 2 diabetes mellitus. Changes in the intrauterine environment, such as intrauterine growth restriction, contribute to alterations of gene expression in pancreatic β-cells, ultimately resulting in the development of pancreatic β-cell failure and diabetes. As a molecular mechanism underlying the effect of the intrauterine environment, epigenetic modifications have been widely investigated. The association of diabetes susceptibility genes or dietary habits with gene-environment interactions has been reported. In this review, we provide an overview of the role of gene-environment interactions in pancreatic β-cell failure as revealed by previous reports and data from experiments.
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Affiliation(s)
- Shun-ichiro Asahara
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiroyuki Inoue
- Division of Medical Chemistry, Department of Metabolism and Diseases, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Yoshiaki Kido
- Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
- Division of Medical Chemistry, Department of Metabolism and Diseases, Kobe University Graduate School of Health Sciences, Kobe, Japan
- Corresponding author: Yoshiaki Kido https://orcid.org/0000-0003-2433-5799 Department of Metabolism and Diseases, Kobe University Graduate School of Health Sciences, 7-10-2 Tomogaoka, Suma-ku, Kobe 654-0142, Japan E-mail:
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11
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Li P, Lu Y, Qie D, Feng L, He G, Yang S, Yang F. Early-life weight gain patterns of term small-for-gestational-age infants and the predictive ability for later childhood overweight/obesity: A prospective cohort study. Front Endocrinol (Lausanne) 2022; 13:1030216. [PMID: 36482989 PMCID: PMC9723138 DOI: 10.3389/fendo.2022.1030216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 10/31/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES We aimed to identify the weight gain patterns of small-for-gestational age (SGA) infants in early life and to explore the predictive value for later overweight/obesity in childhood. METHODS We obtained data from a prospective cohort including term SGA infants born between January 2006 and November 2015 who received regular health care from birth to 5 years in West China Second University Hospital, Chengdu, China. A latent class growth analysis (LCGA) was applied to group children with similar growth trajectory patterns. Multiple logistic regression was performed to examine the association between weight gain patterns and later overweight/obesity. RESULTS A total of 296 term SGA infants were finally included. Five weight gain trajectories were identified, including excessive rapid catch-up growth (ERCG) (class 1, 10.9%), rapid catch-up growth (RCG) (class 2, 17.9%), appropriate catch-up growth (ACG) (class 3, 53.0%), slow catch-up growth (SCG) (class 4, 13.4%) and almost no catch growth (NCG) (class 5, 4.8%). SGA infants in class 1 and class 2 had a higher BMI according to age- and sex-specific Z scores from 2-5 years of age. In addition, 25% of SGA infants in class 1 and 13.2% of SGA infants in class 2 were found to be overweight/obese at 2-5 years of age. After adjusting for confounders, we found that extremely rapid weight gain (class 1) in the first 2 years of life increased the risk of overweight/obesity by 2.1 times at 2 to 5 years of age (aOR=2.1, 95% CI: 1.3~4.8; P<0.05). Furthermore, the increment of ΔWAZ between 0 and 4 mo was prominently related to the risk of overweight/obesity at 2 to 5 years for term SGA infants (aOR=3.2, 95% CI: 1.7~8.1; P<0.001). A receiver operating characteristic (ROC) curve showed the area under curve (AUC) was 0.7, with a 95% confidence interval (CI) from 0.6 to 0.8 (P<0.001). CONCLUSIONS The extremely rapid weight gain pattern of term SGA infants in the first 2 years of life increased the risk of overweight/obesity at 2 to 5 years of age. It suggests monitoring weight gain across the infant period represents a first step towards primary prevention of childhood obesity.
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Affiliation(s)
- Ping Li
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
| | - You Lu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
| | - Di Qie
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
| | - Ling Feng
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
| | - Guoqian He
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
| | - Sufei Yang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
| | - Fan Yang
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) Ministry of Education, Chengdu, China
- *Correspondence: Fan Yang,
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12
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Paganelli CR, Kassebaum N, Strong K, Suchdev PS, Voskuijl W, Bassat Q, Blau DM, Denno DM. Guidance for Systematic Integration of Undernutrition in Attributing Cause of Death in Children. Clin Infect Dis 2021; 73:S374-S381. [PMID: 34910171 PMCID: PMC8672773 DOI: 10.1093/cid/ciab851] [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] [Indexed: 11/16/2022] Open
Abstract
Minimally invasive tissue sampling (MITS) is increasingly being used to better understand causes of death in low-resource settings. Undernutrition (eg, wasting, stunting) is prevalent among children globally and yet not consistently coded or uniformly included on death certificates in MITS studies when present. Consistent and accurate attribution of undernutrition is fundamental to understanding its contribution to child deaths. In May 2020, members of the MITS Alliance Cause of Death Technical Working Group convened a panel of experts in public health, child health, nutrition, infectious diseases, and MITS to develop guidance for systematic integration of undernutrition, as assessed by anthropometry, in cause of death coding, including as part of the causal chain or as a contributing condition, in children <5 years of age. The guidance presented here will support MITS and other researchers, public health practitioners, and clinicians with a systematic approach to assigning and interpreting undernutrition in death certification.
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Affiliation(s)
| | - Nicholas Kassebaum
- Department of Health Metrics Sciences, University of Washington, Seattle, Washington, USA.,Department of Global Health, University of Washington, Seattle, Washington, USA.,Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA
| | - Kathleen Strong
- Department of Maternal, Newborn, Child and Adolescent Health and Aging, World Health Organization, Geneva, Switzerland
| | - Parminder S Suchdev
- Department of Pediatrics and Emory Global Health Institute, Emory University, Atlanta, Georgia, USA
| | - Wieger Voskuijl
- University of Amsterdam, Amsterdam, the Netherlands.,Amsterdam Centre for Global Health, Emma Children's Hospital, Amsterdam University Medical Centres, Amsterdam, the Netherlands.,Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centres, Amsterdam, the Netherlands.,The Childhood Acute Illness & Nutrition Network, Nairobi, Kenya
| | - Quique Bassat
- ISGlobal, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.,Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique.,ICREA, Pg. Lluís Companys 23, 08010 Barcelona, Spain.,Pediatrics Department, Hospital Sant Joan de Déu, Universitat de Barcelona, Esplugues, Barcelona, Spain.,Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Dianna M Blau
- Centers for Disease Control and Prevention, Atlanta, Georgia, USAand
| | - Donna M Denno
- Department of Global Health, University of Washington, Seattle, Washington, USA.,The Childhood Acute Illness & Nutrition Network, Nairobi, Kenya.,Department of Pediatrics, University of Washington, Seattle, Washington, USA
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13
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Zhao Y, Fan X, Wen J, Gan W, Xiao G. Analysis of longitudinal follow-up data of physical growth in singleton full-term small for gestational age infants. J Int Med Res 2021; 49:3000605211060672. [PMID: 34855533 PMCID: PMC8647279 DOI: 10.1177/03000605211060672] [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] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the catch-up growth pattern of singleton full-term small for gestational age (SGA) infants in the first year after birth. METHODS A single-center retrospective cohort study was performed to assess singleton full-term SGA infants. Weight, length, and head circumference were measured at birth, and at 1, 3, 6, and 12 months of age. RESULTS Two hundred ten SGA infants were included in this study. Boys (n = 90) and girls (n = 120) showed a similar gestational age, birth weight, and body length. Weight, length, and head circumference in SGA infants in all age groups increased with age, with the fastest growth stage from birth to 3 months. The speed of weight and head circumference catch-up was higher than that of body length. At 12 months, significant associations of height in boys with height of the fathers, mothers, and both parents combined appeared. The height of girls showed associations with the mothers' and the parents' height. CONCLUSIONS Full-term SGA infants grow rapidly after birth, with the fastest growth rate in the first 3 months, as examined by weight, body length, and head circumference. However, the catch-up speed of weight and body length were not balanced in this study.
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Affiliation(s)
- Yan Zhao
- Department of Child Health Care, Chongqing Health Center for Women and Children, Chongqing, China
| | - Xin Fan
- Department of Child Health Care, Chongqing Health Center for Women and Children, Chongqing, China
| | - Jing Wen
- Department of Child Health Care, Chongqing Health Center for Women and Children, Chongqing, China
| | - Wenling Gan
- Department of Child Health Care, Chongqing Health Center for Women and Children, Chongqing, China
| | - Guiyuan Xiao
- Department of Child Health Care, Chongqing Health Center for Women and Children, Chongqing, China
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14
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The Effect of Growth Rate during Infancy on the Risk of Developing Obesity in Childhood: A Systematic Literature Review. Nutrients 2021; 13:nu13103449. [PMID: 34684450 PMCID: PMC8537274 DOI: 10.3390/nu13103449] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/27/2021] [Accepted: 09/27/2021] [Indexed: 01/12/2023] Open
Abstract
The prevalence of childhood obesity has been trending upwards over the last few decades. Recent evidence suggests that infant growth rate has the potential to increase the risk of obesity development during childhood. This systematic literature review aimed to summarise the existing evidence on the relationship between infant growth rate and subsequent childhood obesity. Studies were sought for that assessed the effect of infant growth rate on outcomes of overweight, obesity, BMI, waist circumference or body composition measures among a population group of children aged 2 to 12 years old. Data sources included PubMed, CINAHL, Web of Science and MedLine. Twenty-four studies were identified as eligible and included in this review, out of 2302 publications. The ADA Quality Checklist was used to assess the quality of individual studies. Ten studies received a positive result and 14 studies a neutral result. A narrative synthesis was completed to present study characteristics and results. Several independent positive associations were determined between rapid growth at different stages during infancy and overweight, obesity, BMI, waist circumference and body composition in childhood. Further investigation is required to determine if a specific period of infancy carries greater associations of risk with childhood outcomes. Determining an ideal rate of infants' growth as a means to minimise the future risk of childhood obesity should be the focus of future research that will also inform early life obesity prevention strategies. Registration no.: CRD42021244029.
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15
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Norris T, Mansukoski L, Gilthorpe MS, Hamer M, Hardy R, Howe LD, Li L, Ong KK, Ploubidis GB, Viner RM, Johnson W. Early childhood weight gain: Latent patterns and body composition outcomes. Paediatr Perinat Epidemiol 2021; 35:557-568. [PMID: 33960515 DOI: 10.1111/ppe.12754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/26/2020] [Accepted: 01/03/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Despite early childhood weight gain being a key indicator of obesity risk, we do not have a good understanding of the different patterns that exist. OBJECTIVES To identify and characterise distinct groups of children displaying similar early-life weight trajectories. METHODS A growth mixture model captured heterogeneity in weight trajectories between 0 and 60 months in 1390 children in the Avon Longitudinal Study of Parents and Children. Differences between the classes in characteristics and body size/composition at 9 years were investigated. RESULTS The best model had five classes. The "Normal" (45%) and "Normal after initial catch-down" (24%) classes were close to the 50th centile of a growth standard between 24 and 60 months. The "High-decreasing" (21%) and "Stable-high" (7%) classes peaked at the ~91st centile at 12-18 months, but while the former declined to the ~75th centile and comprised constitutionally big children, the latter did not. The "Rapidly increasing" (3%) class gained weight from below the 50th centile at 4 months to above the 91st centile at 60 months. By 9 years, their mean body mass index (BMI) placed them at the 98th centile. This class was characterised by the highest maternal BMI; highest parity; highest levels of gestational hypertension and diabetes; and the lowest socio-economic position. At 9 years, the "Rapidly increasing" class was estimated to have 68.2% (95% confidence interval [CI] 48.3, 88.1) more fat mass than the "Normal" class, but only 14.0% (95% CI 9.1, 18.9) more lean mass. CONCLUSIONS Criteria used in growth monitoring practice are unlikely to consistently distinguish between the different patterns of weight gain reported here.
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Affiliation(s)
- Tom Norris
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Liina Mansukoski
- Centre for Global Child Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mark S Gilthorpe
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.,Faculty of Medicine and Health, University of Leeds, Leeds, UK.,Alan Turing Institute, British Library, London, UK
| | - Mark Hamer
- Division of Surgery and Interventional Sciences, Faculty Medical Sciences, University College London, London, UK
| | - Rebecca Hardy
- CLOSER, Department of Social Science, University College London, London, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, University of Bristol, Bristol, UK
| | - Leah Li
- Population, Policy and Practice Programme, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Ken K Ong
- MRC Epidemiology Unit and Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - George B Ploubidis
- Centre for Longitudinal Studies, Department of Social Science, University College London, London, UK
| | - Russell M Viner
- Population, Policy and Practice Programme, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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16
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Lyons-Reid J, Albert BB, Kenealy T, Cutfield WS. Birth Size and Rapid Infant Weight Gain-Where Does the Obesity Risk Lie? J Pediatr 2021; 230:238-243. [PMID: 33157072 DOI: 10.1016/j.jpeds.2020.10.078] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 10/28/2020] [Accepted: 10/30/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Jaz Lyons-Reid
- Liggins Institute, The University of Aucklan, Auckland, New Zealand
| | | | - Timothy Kenealy
- Liggins Institute, The University of Aucklan, Auckland, New Zealand
| | - Wayne S Cutfield
- Liggins Institute, The University of Aucklan, Auckland, New Zealand; A Better Start - National Science Challenge, Auckland, New Zealand.
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17
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Chen J, Xiao H, Yang Y, Tang Y, Yang X, Zhang Z, Lu W, Yao J, Huang L, Liu X, Zhou W. Demographic and Clinical Features of Small-for-Gestational-Age Infants Born to Mothers With Gestational Diabetes Mellitus. Front Pediatr 2021; 9:741793. [PMID: 34660493 PMCID: PMC8517473 DOI: 10.3389/fped.2021.741793] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/07/2021] [Indexed: 11/17/2022] Open
Abstract
We studied the demographic and clinical characteristic, risk factors, outcomes of full-term small-for-gestational-age (SGA) infants born to mothers with gestational diabetes mellitus (GDM) in China. A retrospective case-control study that included 1981 SGA infants was conducted; the demographic and clinical data between SGA infants born to mothers with and without GDM were compared. Of 383 SGA infants born to mothers with GDM, 221 (57.7%) were female, and the incidence of these infants was 1 in 155 live births. The risk of SGA siblings (RR, 1.88; 95% CI, [1.23-2.86]), low 1- and 5-min Apgar scores (RR,2.04 and 4.21; 95%CI [1.05-4.00] and [1.05-16.89], respectively), early thrombocytopenia (RR, 3.39; 95%CI, [1.33-8.64]), hypoglycemia(RR, 2.49; 95%CI, [1.55-3.98]), and hypoxic-ischemic encephalopathy (RR,5.61; 95%CI, [1.25-25.18]) were increased in SGA infants born to mothers with GDM compared to SGA infants born to mothers without GDM. SGA girls born to mothers with GDM had a significantly higher ratio of catch-up growth (CUG) (RR, 1.73; 95%CI, [1.18-2.54]) in the first year of life. These results show that genetic factors may be one of the etiologies of SGA infants born to mothers with GDM; and these infants have more adverse perinatal outcomes compared to SGA infants born to mothers without GDM. SGA girls born to mothers with GDM had accelerated CUG in the first year of life.
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Affiliation(s)
- Juncao Chen
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Huimin Xiao
- Department of Neonatology, Dongguan Houjie Hospital, Guangdong Medical University, Dongguan, China
| | - Yong Yang
- Department of Neonatology, Dongguan City Maternal and Child Health Hospital, Southern Medical University, Dongguan, China
| | - Yaping Tang
- Institute of Pediatrics, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - Xiaoqi Yang
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Zhe Zhang
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Weineng Lu
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jie Yao
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Longguang Huang
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Xiaoping Liu
- Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Wei Zhou
- Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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18
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Zheng X, Wu Q, Weng D, Fu Y, Yue D, Wang Y. Adherence to supplemental vitamin D intake and infant weight gain: a retrospective cohort study in rural southwestern China. J Int Med Res 2020; 48:300060520969311. [PMID: 33249966 PMCID: PMC7708724 DOI: 10.1177/0300060520969311] [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] [Indexed: 11/25/2022] Open
Abstract
Objectives We tested the hypothesis that vitamin D supplementation is associated with early body mass index (BMI) patterns. Methods Using retrospective longitudinal data of infants and toddlers in a 2-year follow-up study, we identified BMI-for-age Z score (BAZ) growth trajectories using latent class growth modeling (LCGM) analysis. Logistic regression models were adopted to investigate the impact of vitamin D supplementation on BAZ patterns. Results Five BAZ trajectories were derived using LCGM. Higher intake of vitamin D supplement was significantly associated with lower odds of rapid weight gain or mild undernutrition in the first 2 years (odds ratios: 0.60–0.83 for class 2: early rapid growth; 0.69–0.82 for class 3: early weight loss, late rapid growth; 0.83–0.89 for class 4: suboptimal growth). Adherence to 400 IU Vitamin D ≥ 1 year was significantly associated with less likelihood of being in class 3 (odds ratio 0.17). Conclusions Among infants and toddlers aged 0 to 2 years, dietary supplementation of vitamin D is insufficient in rural areas of China. Insufficient vitamin D intake was found to be associated with suboptimal BAZ growth at early stages. Effective collaboration is needed between pediatricians and caregivers, to assure adherence to the nutritional guideline.
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Affiliation(s)
- Xiaofei Zheng
- Department of Child Health Care, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Qijun Wu
- Zhenxiong People's Hospital, Zhaotong, Yunnan, China
| | - Dadong Weng
- Wude Health Center, Wude, Zhenxiong, Zhaotong, Yunnan, China
| | - Yeju Fu
- Wude Health Center, Wude, Zhenxiong, Zhaotong, Yunnan, China
| | - Duxian Yue
- Wude Health Center, Wude, Zhenxiong, Zhaotong, Yunnan, China
| | - Yu Wang
- Department of Child Health Care, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
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19
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Arisaka O, Ichikawa G, Koyama S, Sairenchi T. Childhood obesity: rapid weight gain in early childhood and subsequent cardiometabolic risk. Clin Pediatr Endocrinol 2020; 29:135-142. [PMID: 33088012 PMCID: PMC7534524 DOI: 10.1297/cpe.29.135] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/06/2020] [Indexed: 12/19/2022] Open
Abstract
Dynamic changes in body weight have long been recognized as important indicators of risk
for human health. Many population-based observational studies have shown that rapid weight
gain during infancy, including a catch-up growth phenomenon or adiposity rebound in early
childhood, predisposes a person to the development of obesity, type 2 diabetes, and
cardiovascular diseases later in life. However, a consensus has not been established
regarding which period of weight gain contributes to future risks. This review evaluates
recent evidence on the relationship between early rapid growth and future obesity and
cardiometabolic risk, with a focus on the differential significance of rapid weight gain
in infancy and early childhood. Although there is a need for attention to childhood growth
during early infancy before 1 yr of age as it may be related to future obesity, emerging
evidence strongly suggests that toddlers showing an increase in body mass index (BMI)
before 3 yr of age, a period normally characterized by decreased BMI, are prone to
developing later cardiometabolic risk.
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Affiliation(s)
- Osamu Arisaka
- Department of Pediatrics, Nasu Red Cross Hospital, Tochigi, Japan.,Department of Pediatrics, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Go Ichikawa
- Department of Pediatrics, Nasu Red Cross Hospital, Tochigi, Japan.,Department of Pediatrics, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Satomi Koyama
- Department of Pediatrics, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Toshimi Sairenchi
- Department of Public Health, Dokkyo Medical University School of Medicine, Tochigi, Japan
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