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Rezaeizadeh G, Mansournia MA, Keshtkar A, Farahani Z, Zarepour F, Sharafkhah M, Kelishadi R, Poustchi H. Maternal education and its influence on child growth and nutritional status during the first two years of life: a systematic review and meta-analysis. EClinicalMedicine 2024; 71:102574. [PMID: 38596614 PMCID: PMC11001623 DOI: 10.1016/j.eclinm.2024.102574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 04/11/2024] Open
Abstract
Background The first 1000 days of life are critical for a child's health and development. Impaired growth during this period is linked to increased child morbidity, mortality, and long-term consequences. Undernutrition is the main cause, and addressing it within the first 1000 days of life is vital. Maternal education is consistently identified as a significant predictor of child undernutrition, but its specific impact remains to be determined. This study presents a systematic review and meta-analysis investigating the influence of high versus low maternal education levels on child growth from birth to age two, using population-based cohort studies. Methods Databases including PubMed, Scopus, EMBASE, Web of Science, ERIC, and Google Scholar were searched from January 1990 to January 2024 using appropriate search terms. We included population-based cohort studies of healthy children aged two years and under and their mothers, categorizing maternal education levels. Child growth and nutritional outcomes were assessed using various indicators. Two reviewers independently conducted data extraction and assessed study quality. The Newcastle Ottawa scale was utilized for quality assessment. Random-effects models were used for meta-analysis, and heterogeneity was assessed using the Cochrane Q and I2 statistic. Subgroup and sensitivity analyses were performed, and publication bias was evaluated. Findings The literature search retrieved 14,295 titles, and after full-text screening of 639 reports, 35 studies were included, covering eight outcomes: weight for age z-score (WAZ), height for age z-score (HAZ), BMI for age z-scores (BMIZ), overweight, underweight, stunting, wasting, and rapid weight gain. In middle-income countries, higher maternal education is significantly associated with elevated WAZ (MD 0.398, 95% CI 0.301-0.496) and HAZ (MD 0.388, 95% CI 0.102-0.673) in children. Similarly, in studies with low-educated population, higher maternal education is significantly linked to increased WAZ (MD 0.186, 95% CI 0.078-0.294) and HAZ (0.200, 95% CI 0.036-0.365). However, in high-income and highly educated population, this association is either absent or reversed. In high-income countries, higher maternal education is associated with a non-significant lower BMI-Z (MD -0.028, 95% CI -0.061 to 0.006). Notably, this inverse association is statistically significant in low-educated populations (MD -0.045, 95% CI -0.079 to -0.011) but not in highly educated populations (MD 0.003, 95% CI -0.093 to 0.098). Interpretation Maternal education's association with child growth varies based on country income and education levels. Further research is needed to understand this relationship better. Funding This study was a student thesis supported financially by Tehran University of Medical Sciences (TUMS).
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Affiliation(s)
- Golnaz Rezaeizadeh
- Digestive Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Abbasali Keshtkar
- Department of Disaster and Emergency Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Farahani
- Maternal, Fetal, and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Zarepour
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Maryam Sharafkhah
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Roya Kelishadi
- Department of Paediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hossein Poustchi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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Zhu Z, Shen J, Zhu Y, Wang L, Qi Q, Wang X, Li C, Andegiorgish AK, Elhoumed M, Cheng Y, Dibley MJ, Zeng L. Head circumference trajectories during the first two years of life and cognitive development, emotional, and behavior problems in adolescence: a cohort study. Eur J Pediatr 2022; 181:3401-3411. [PMID: 35802207 DOI: 10.1007/s00431-022-04554-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/28/2022] [Accepted: 07/01/2022] [Indexed: 11/26/2022]
Abstract
UNLABELLED The associations of early-life head circumference (HC) with child neurodevelopmental and mental health among generally healthy population remain unclear. We aimed to examine the associations of early-life HC trajectories with cognitive development and emotional and behavioral problems in adolescence and to identify the HC growth-sensitive period. We conducted a prospective, community-based birth cohort study in rural western China, and 745 adolescents aged 10-14 years were followed between June and December 2016. We assessed their HC eight times during the first 2 years of life and their adolescent cognitive, emotional, and behavioral outcomes using the Wechsler Intelligence Scale for Children-IV and Youth Self-Report-2001, respectively. We applied group-based trajectory modeling to identify the HC trajectories and conditional growth to derive the HC growth-sensitive periods. We identified five distinct HC trajectories characterized as Start below average-then decrease (7.8% of the sample), Start below average-then increase (6.8%), Start average-then decrease (33%), Consistently average (38%), and Consistently above average (14%). Infants in the trajectory of consistently above average had higher cognitive scores in adolescence compared to those from suboptimal trajectories, with adjusted mean differences ranging from 2.84 to 8.99 points. The conditional gains showed that the HC growth-sensitive period was between 0 and 18 months for child cognition. We found null associations between HC measures and adolescent emotional and behavioral problem scores. CONCLUSION Early-life HC trajectories were associated with adolescent cognitive development. HC may serve as an inexpensive screening tool to monitor child development at risk during the first 18 months, particularly in resource-limited settings. WHAT IS KNOWN • Postnatal head circumference (HC) has been shown to be associated with cognitive development in infants who were born premature and/or fetal growth restriction, while inconsistent associations were reported among generally healthy populations, especially in low- and middle- income countries, challenging its utility in public health practices. WHAT IS NEW • Adolescents in the HC growth trajectory of consistently above average had higher cognitive scores compared to those with other suboptimal trajectories, while null findings were observed for adolescent emotional and behavioral health. • HC may serve as an inexpensive screening tool to monitor child development at risk during the first 18 months of life, particularly in resource-limited settings.
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Affiliation(s)
- Zhonghai Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Jiali Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Yingze Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Liang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Qi Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Xueyao Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Chao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Amanuel Kidane Andegiorgish
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Mohamed Elhoumed
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China
- National Institute of Public Health Research (INRSP), BP. 695, Nouakchott, Mauritania
| | - Yue Cheng
- Department of Nutrition and Food Safety Research, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Michael J Dibley
- The Sydney School of Public Health, Faculty of Medicine, The University of Sydney, Sydney, NSW, Australia
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xian Jiaotong University Health Science Center, Xi'an, No.76, Yanta West Road, Xi'an, Shaanxi, 710061, People's Republic of China.
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education, Xi'an, Shaanxi, People's Republic of China.
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Parental Investment Is Biased toward Children Named for Their Fathers. HUMAN NATURE-AN INTERDISCIPLINARY BIOSOCIAL PERSPECTIVE 2021; 32:387-405. [PMID: 34228304 DOI: 10.1007/s12110-021-09396-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/05/2021] [Indexed: 10/20/2022]
Abstract
Namesaking (naming a child after a parent or other relative) can be viewed as a mechanism to increase perceived parent-child similarity and, consequently, parental investment. Male and, to a lesser extent, firstborn children are more frequently namesakes than female and later-born children, respectively. However, a direct link between namesaking and parental investment has not been examined. In the present study, 632 participants (98 men and 534 women) from Central Europe indicated their first name, sex, birth order, number of siblings, sexual orientation, socioeconomic status, paternal and maternal first names, as well as relationship quality with, and time and financial investment they received from, both parents during childhood. Mixed-effects models revealed associations between namesaking and parental investment. However, the effect of namesaking often appeared significant only in interaction with specific predictors, such as sex and primogeniture. It suggests instead that namesaking has an additive effect-it enhances the effect of biological factors on parental investment. In general, we found evidence for the bias in parental investment linked to name similarity among both parents, and support for the hypothesis that namesaking serves as a mechanism to increase paternity confidence and, thus, paternal investment. The effect of namesaking influences only certain types of parental investment-namely, those at the level of relationship quality. In addition, nonheterosexual orientation was the strongest negative predictor of paternal investment. Our study extends the research on parental investment by showing that cultural mechanisms, such as namesaking, can also exert some influence on parental rearing behavior.
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Gomula A, Nowak‐Szczepanska N, Koziel S. Secular trend and social variation in height of Polish schoolchildren between 1966 and 2012. Acta Paediatr 2021; 110:1225-1230. [PMID: 32931048 DOI: 10.1111/apa.15572] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 08/11/2020] [Accepted: 09/08/2020] [Indexed: 01/24/2023]
Abstract
AIM To assess secular trend and changes in social inequalities of children's height across nearly 50 years, when vast socio-political changes took place in Poland. METHODS Data on schoolchildren aged 7-18 years were collected in 1966, 1978, 1988 and 2012 in Poland. Height was standardised for age using the LMS method. Socio-economic status (SES) was based on 4 factors: urbanisation level, mother's and father's education, and family size (number of children). Statistics included 2-way ANOVA with post hoc Tukey's test and effect size calculations. RESULTS Positive secular trend in height was observed across all years. All analysed SES factors had significant effect on height which differed depending on SES category and year of Survey. Differences in height between extreme categories of SES factors decreased gradually, starting from 1978. However, only general SES in girls and urbanisation level in both sexes became insignificant in 2012. CONCLUSION Improvement of living conditions across nearly 50 years was reflected in the secular trend in children's height. Despite this improvement, however, the biological effects of social inequalities, visible in differences in height, to some extent, are still present in Poland.
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Affiliation(s)
- Aleksandra Gomula
- Department of Anthropology Institute of Immunology and Experimental Therapy Polish Academy of Sciences Wroclaw Poland
| | - Natalia Nowak‐Szczepanska
- Department of Anthropology Institute of Immunology and Experimental Therapy Polish Academy of Sciences Wroclaw Poland
| | - Slawomir Koziel
- Department of Anthropology Institute of Immunology and Experimental Therapy Polish Academy of Sciences Wroclaw Poland
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Perumal N, Roth DE, Cole DC, Zlotkin SH, Perdrizet J, Barros AJD, Santos IS, Matijasevich A, Bassani DG. Effect of Correcting the Postnatal Age of Preterm-Born Children on Measures of Associations Between Infant Length-for-Age z Scores and Mid-Childhood Outcomes. Am J Epidemiol 2021; 190:477-486. [PMID: 32809017 PMCID: PMC7936033 DOI: 10.1093/aje/kwaa169] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 08/03/2020] [Accepted: 08/11/2020] [Indexed: 12/27/2022] Open
Abstract
Child growth standards are commonly used to derive age- and sex-standardized anthropometric indices but are often inappropriately applied to preterm-born children (<37 weeks of gestational age (GA)) in epidemiology studies. Using the 2004 Pelotas Birth Cohort, we examined the impact of correcting for GA in the application of child growth standards on the magnitude and direction of associations in 2 a priori–selected exposure-outcome scenarios: infant length-for-age z score (LAZ) and mid-childhood body mass index (scenario A), and infant LAZ and mid-childhood intelligence quotient (scenario B). GA was a confounder that had a strong (scenario A) or weak (scenario B) association with the outcome. Compared with uncorrected postnatal age, using GA-corrected postnatal age attenuated the magnitude of associations, particularly in early infancy, and changed inferences for associations at birth. Although differences in the magnitude of associations were small when GA was weakly associated with the outcome, model fit was meaningfully improved using corrected postnatal age. When estimating population-averaged associations with early childhood growth in studies where preterm- and term-born children are included, incorporating heterogeneity in GA at birth in the age scale used to standardize anthropometric indices postnatally provides a useful strategy to reduce standardization errors.
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Affiliation(s)
- Nandita Perumal
- Correspondence to Dr. Nandita Perumal, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, 90 Smith Street, 3rd Floor, Boston MA 02215 (e-mail: )
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Von Holle A, North KE, Gahagan S, Burrows RA, Blanco E, Lozoff B, Howard AG, Justice A, Graff M, Voruganti VS. Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort. BMJ Open 2020; 10:e033695. [PMID: 32499257 PMCID: PMC7282289 DOI: 10.1136/bmjopen-2019-033695] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES Infant anthropometric growth varies across socioeconomic factors, including maternal education and income, and may serve as an indicator of environmental influences in early life with long-term health consequences. Previous research has identified sociodemographic gradients in growth with a focus on the first year and beyond, but estimates are sparse for growth before 6 months. Thus, our objective was to examine the relationship between sociodemographic factors and infant growth patterns between birth and 5 months of age. DESIGN Prospective cohort study. SETTINGS Low-income to middle-income neighbourhoods in Santiago, Chile (1991-1996). PARTICIPANTS 1412 participants from a randomised iron-deficiency anaemia preventive trial in healthy infants. MAIN OUTCOME MEASURES Longitudinal anthropometrics including monthly weight (kg), length (cm) and weight-for-length (WFL) values. For each measure, we estimated three individual-level growth parameters (size, timing and velocity) from SuperImposition by Translation and Rotation models. Size and timing changes represent vertical and horizontal growth curve shifts, respectively, and velocity change represents growth rate shifts. We estimated the linear association between growth parameters and gestational age, maternal age, education and socioeconomic position (SEP). RESULTS Lower SEP was associated with a slower linear (length) velocity growth parameter (-0.22, 95% CI -0.31 to -0.13)-outcome units are per cent change in velocity from the average growth curve. Lower SEP was associated with later WFL growth timing as demonstrated through the tempo growth parameter for females (0.25, 95% CI 0.05 to 0.42)-outcome units are shifts in days from the average growth curve. We found no evidence of associations between SEP and the weight size, timing or velocity growth rate parameters. CONCLUSION Previous research on growth in older infants and children shows associations between lower SEP with slower length velocity. We found evidence supporting this association in the first 5 months of life, which may inform age-specific prevention efforts aimed at infant length growth.
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Affiliation(s)
- Ann Von Holle
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Sheila Gahagan
- Division of Child Development and Community Health, University of California San Diego, La Jolla, California, USA
| | - Raquel A Burrows
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
| | - Estela Blanco
- Division of Child Development and Community Health, University of California San Diego, La Jolla, California, USA
| | - Betsy Lozoff
- Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Annie Green Howard
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Anne Justice
- Center for Biomedical and Translational Informatics, Geisinger Health, Danville, Pennsylvania, USA
| | - Misa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Venkata Saroja Voruganti
- Department of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Jelenkovic A, Sund R, Yokoyama Y, Latvala A, Sugawara M, Tanaka M, Matsumoto S, Freitas DL, Maia JA, Knafo-Noam A, Mankuta D, Abramson L, Ji F, Ning F, Pang Z, Rebato E, Saudino KJ, Cutler TL, Hopper JL, Ullemar V, Almqvist C, Magnusson PKE, Cozen W, Hwang AE, Mack TM, Nelson TL, Whitfield KE, Sung J, Kim J, Lee J, Lee S, Llewellyn CH, Fisher A, Medda E, Nisticò L, Toccaceli V, Baker LA, Tuvblad C, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Burt SA, Klump KL, Silberg JL, Maes HH, Krueger RF, McGue M, Pahlen S, Gatz M, Butler DA, Harris JR, Brandt I, Nilsen TS, Harden KP, Tucker-Drob EM, Franz CE, Kremen WS, Lyons MJ, Lichtenstein P, Bartels M, Beijsterveldt CEMV, Willemsen G, Öncel SY, Aliev F, Jeong HU, Hur YM, Turkheimer E, Boomsma DI, Sørensen TIA, Kaprio J, Silventoinen K. Genetic and environmental influences on human height from infancy through adulthood at different levels of parental education. Sci Rep 2020; 10:7974. [PMID: 32409744 PMCID: PMC7224277 DOI: 10.1038/s41598-020-64883-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 04/21/2020] [Indexed: 11/09/2022] Open
Abstract
Genetic factors explain a major proportion of human height variation, but differences in mean stature have also been found between socio-economic categories suggesting a possible effect of environment. By utilizing a classical twin design which allows decomposing the variation of height into genetic and environmental components, we tested the hypothesis that environmental variation in height is greater in offspring of lower educated parents. Twin data from 29 cohorts including 65,978 complete twin pairs with information on height at ages 1 to 69 years and on parental education were pooled allowing the analyses at different ages and in three geographic-cultural regions (Europe, North America and Australia, and East Asia). Parental education mostly showed a positive association with offspring height, with significant associations in mid-childhood and from adolescence onwards. In variance decomposition modeling, the genetic and environmental variance components of height did not show a consistent relation to parental education. A random-effects meta-regression analysis of the aggregate-level data showed a trend towards greater shared environmental variation of height in low parental education families. In conclusion, in our very large dataset from twin cohorts around the globe, these results provide only weak evidence for the study hypothesis.
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Affiliation(s)
- Aline Jelenkovic
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country, Bilbao, 48080, Spain.
- Department of Public Health, University of Helsinki, Helsinki, 00014, Finland.
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, 00014, Finland
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, 70211, Finland
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, 545-0051, Japan
| | - Antti Latvala
- Department of Social Research, University of Helsinki, Helsinki, 00014, Finland
- Institute for Molecular Medicine FIMM, Helsinki, 00014, Finland
| | - Masumi Sugawara
- Department of Psychology, Ochanomizu University, Tokyo, 112-8610, Japan
| | - Mami Tanaka
- Center for Forensic Mental Health, Chiba University, Chiba, 260-8670, Japan
| | - Satoko Matsumoto
- Institute for Education and Human Development, Ochanomizu University, Tokyo, 112-8610, Japan
| | - Duarte L Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, 9020-105, Portugal
| | - José Antonio Maia
- CIFI2D, Faculty of Sport, University of Porto, Porto, 4200-450, Portugal
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, 91905, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, 91905, Israel
| | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, 266033, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, 266033, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, 266033, China
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Bilbao, 48080, Spain
| | - Kimberly J Saudino
- Boston University, Department of Psychological and Brain Sciences, Boston MA, 02215, MA, USA
| | - Tessa L Cutler
- Twins Research Australia, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, 3010, Australia
| | - John L Hopper
- Twins Research Australia, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, 3010, Australia
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, 08826, Korea
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, 17176, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, 90089, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, 90089, California, USA
| | - Amie E Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, 90089, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, 90089, California, USA
| | - Thomas M Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, 90089, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, 90089, California, USA
| | - Tracy L Nelson
- Department of Health and Exercise Sciences and Colorado School of Public Health, Colorado State University, Colorado, 80523, USA
| | - Keith E Whitfield
- Department of Psychology, Wayne State University, Detroit, 48202, MI, USA
| | - Joohon Sung
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, 08826, Korea
- Institute of Health and Environment, Seoul National University, Seoul, 08826, South Korea
| | - Jina Kim
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, 08826, Korea
| | - Jooyeon Lee
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, 08826, Korea
| | - Sooji Lee
- Department of Epidemiology, School of Public Health, Seoul National University, Seoul, 08826, Korea
| | - Clare H Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK
| | - Emanuela Medda
- Istituto Superiore di Sanità - Centre for Behavioural Sciences and Mental Health, Rome, 00161, Italy
| | - Lorenza Nisticò
- Istituto Superiore di Sanità - Centre for Behavioural Sciences and Mental Health, Rome, 00161, Italy
| | - Virgilia Toccaceli
- Istituto Superiore di Sanità - Centre for Behavioural Sciences and Mental Health, Rome, 00161, Italy
| | - Laura A Baker
- Department of Psychology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA, 90089, USA
- School of Law, Psychology and Social Work, Örebro University, Örebro, 701 82, Sweden
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, 80303, USA
| | - Brooke M Huibregtse
- Institute of Behavioral Science, University of Colorado, Boulder, Colorado, 80303, USA
| | - Catherine A Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, B-3000, Belgium
- Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, 9820, Belgium
| | - Robert F Vlietinck
- Centre of Human Genetics, University Hospitals Leuven, Leuven, B-3000, Belgium
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-5674, USA
| | | | - Kelly L Klump
- Michigan State University, East Lansing, Michigan, 48823, USA
| | - Judy L Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, 23284, USA
| | - Hermine H Maes
- Department of Human and Molecular Genetics, Psychiatry & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, 23284, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, 90089, USA
| | - David A Butler
- Health and Medicine Division, The National Academies of Sciences, Engineering, and Medicine, Washington, DC, 20001, USA
| | | | - Ingunn Brandt
- Norwegian Institute of Public Health, Oslo, 0213, Norway
| | | | - K Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, 78712, USA
| | | | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, CA, 92093, USA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, CA, 92093, USA
- VA San Diego Center of Excellence for Stress and Mental Health, La Jolla, CA, 92093, USA
| | - Michael J Lyons
- Boston University, Department of Psychology, Boston, MA, 02215, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081, Netherlands
| | | | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081, Netherlands
| | - Sevgi Y Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, 71450, Turkey
| | - Fazil Aliev
- Karabuk University, Faculty of Business, Karabuk, 78050, Turkey
| | - Hoe-Uk Jeong
- Department of Education, Mokpo National University, Jeonnam, 534-729, South Korea
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, 534-729, South Korea
| | - Eric Turkheimer
- Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081, Netherlands
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research (Section of Metabolic Genetics), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1353, Denmark
- Department of Public Health (Section of Epidemiology), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 1353, Denmark
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, 00014, Finland
- Institute for Molecular Medicine FIMM, Helsinki, 00014, Finland
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, 00014, Finland
- Osaka University Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan
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8
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Zhang Y, Wang H, Wang X, Liu M, Wang Y, Wang Y, Zhou H. The association between urbanization and child height: a multilevel study in China. BMC Public Health 2019; 19:569. [PMID: 31088440 PMCID: PMC6518673 DOI: 10.1186/s12889-019-6921-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 04/30/2019] [Indexed: 11/10/2022] Open
Abstract
Background Recent economic development in China has been accompanied by well-documented health inequalities between regions. The impact of individual factors on child height has been widely studied, but the influence of community-level factors has not yet been fully studied. Methods The cross-sectional data of 1606 Chinese children aged 5–18 years from the China Health and Nutrition Survey 2011 were used. Multilevel analysis was used to examine the association of community factors (using urbanization index) with child height. Child height was measured following standardized procedures, and height-for-age Z scores were calculated as outcome variables. Datasets were presented at two levels: community variable (Level-2) was an urbanization index which is a composite score summarizing 12 community-level contextual factors. Individual variables (Level-1) were child gender, ethnicity, percentage of energy intake from protein, maternal height, maternal education level, and family income. Results Urbanization index was associated with child height. Among the 12 community-level factors, ‘education’ were positively associated with child height. Additionally, stratified analyses by age showed that ‘population density’ and ‘housing’ were positively significantly associated with the height of elder children (13–18 years). At the individual level, male sex, higher maternal height, higher maternal education levels, higher family income, and higher percentage of energy intake from protein, were significantly positively associated with child height. Conclusions Our findings point to the role of contextual factors that generate differences between regions in shaping the distribution of child physical health outcomes. Our study suggests that public health programs and policies for child’s physical development may need to combine individual-centered strategies and also approaches aimed at changing residential environments.
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Affiliation(s)
- Yan Zhang
- Department of Women's Health, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No.251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.,Department of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Han Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Xi Wang
- The Children's Hospital of Philadelphia, 2716 South Street, Philadelphia, PA, 19146, USA
| | - Meicen Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Yinping Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Yan Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Hong Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
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9
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Van Rossem R, Pannecoucke I. Poverty and a child's height development during early childhood: A double disadvantage? A study of the 2006-2009 birth cohorts in Flanders. PLoS One 2019; 14:e0209170. [PMID: 30601853 PMCID: PMC6314581 DOI: 10.1371/journal.pone.0209170] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 12/01/2018] [Indexed: 11/25/2022] Open
Abstract
Introduction Poverty is a well-known risk factor for a child’s health and development. This paper aimed to establish whether poverty negatively affected both intra-uterine growth and early childhood growth, i.e., whether children facing poverty were at a double disadvantage. Methods For this study, we made use of routinely collected data on child development throughout early childhood from the 2006–2009 birth cohorts in Kind & Gezin’s Ikaros database collected during 2,605,975 consultations with 273,935 children from birth to 730 days old. Indicators for child development at birth were gestational age and height-at-birth. A standardized height-for-age indicator captured height development throughout early childhood. A multidimensional indicator measured the risk of poverty. For the analysis of development at birth, we used linear and logistic regression; for the analysis of height development during early childhood, we estimated linear and logistic growth curve models. Results The risk of poverty negatively affected both gestational age and height-at-birth. Throughout early childhood, we observed a negative relation between the risk of poverty and height-for-age indicators. However, the effect varied throughout childhood. Children at risk of poverty (over)compensated for their smaller stature at birth, and between ages 6 and 18 months, approximately, the negative effects of risk of poverty decreased substantially or disappeared. However, towards the end of the period studied, children born in households at risk of poverty started to lag again in height development. Conclusion This study found that the risk of poverty indeed negatively affected a child’s growth, both in utero and in early childhood. However, the results suggest that developmental lags later in childhood were not merely an extension of such lags at birth.
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Affiliation(s)
- Ronan Van Rossem
- Department of Sociology, Universiteit Gent, Ghent, Belgium
- * E-mail:
| | - Isabelle Pannecoucke
- Department of Sociology, Universiteit Gent, Ghent, Belgium
- Flemish Housing Council, Brussels, Belgium
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10
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Fábelová L, Vandentorren S, Vuillermoz C, Garnier R, Lioret S, Botton J. Hair concentration of trace elements and growth in homeless children aged <6years: Results from the ENFAMS study. ENVIRONMENT INTERNATIONAL 2018; 114:318-325. [PMID: 29150339 DOI: 10.1016/j.envint.2017.10.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 10/16/2017] [Accepted: 10/19/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Growth is an important indicator of health in early childhood. This is a critical developmental period, during which a number of factors, including exposure to metals, might play a role in later physical and metabolic functions. OBJECTIVE To study the association between exposure to arsenic (As), cadmium (Cd), mercury (Hg), lead (Pb) and selenium (Se), and physical growth of children from homeless families aged <6years. METHODS This study was based on data of the cross-sectional survey (ENFAMS), which was conducted by the Observatoire du Samu Social on a random sample of homeless sheltered families in the Paris region during winter 2013. Families with children under 6years (N=324) were interviewed in 17 languages using face-to-face questionnaires. A nurse took anthropometric measures and collected hair samples where As, Cd, Hg, Pb and Se levels were measured. We calculated weight-for-age Z-score (WAZ), height-for-age Z-score (HAZ) and BMI-for-age Z-score (BMIZ) of children, using the 2006 WHO Child Growth Standards as a reference. Associations between ln-transformed metal exposures and growth outcomes were tested by multivariable linear regression models with adjustment for potential confounders (including maternal anthropometrical and socio-demographical characteristics, gestational age, child birthweight, breastfeeding, food insecurity of the child). Due to missing data (1.6% to 14.2% depending on the variables), we used multiple imputation by chained equations. RESULTS A strong positive correlation was found between Pb and Cd levels (r=0.65; p<0.001). Positive associations between Se level and HAZ (β=0.61; p=0.05) and between Cd and BMIZ (β=0.21; p=0.03) and negative associations between As and HAZ (β=-0.18; p=0.05) were no more significant after multiple imputation. A weak negative trend was observed between Cd and HAZ (β=-0.14; p=0.14), while positive trends were found between Se and both WAZ (β=0.55; p=0.10) and HAZ (β=0.51; p=0.06) after multiple imputation. CONCLUSION Overall, our results found no strong association between exposure to metals and physical growth of homeless children but we observed some trends that were consistent with previous studies. More research is required studying these associations longitudinally, along with higher sample sizes, for better understanding the sources of exposure in homeless population and the potential effects on growth.
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Affiliation(s)
- Lucia Fábelová
- U1153, Epidemiology and Biostatistics Sorbonne Paris Cité Research Centre (CRESS), Early Origin of the Child's Health and Development (ORCHAD) Team, Inserm, Villejuif, France.
| | - Stéphanie Vandentorren
- INSERM, Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP UMRS 1136), Department of Social Epidemiology, Paris, France; French Institute for Public Health Surveillance, Saint-Maurice, France
| | - Cécile Vuillermoz
- INSERM, Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP UMRS 1136), Department of Social Epidemiology, Paris, France
| | - Robert Garnier
- Centre antipoison et de toxicovigilance de Paris, France
| | - Sandrine Lioret
- U1153, Epidemiology and Biostatistics Sorbonne Paris Cité Research Centre (CRESS), Early Origin of the Child's Health and Development (ORCHAD) Team, Inserm, Villejuif, France
| | - Jérémie Botton
- U1153, Epidemiology and Biostatistics Sorbonne Paris Cité Research Centre (CRESS), Early Origin of the Child's Health and Development (ORCHAD) Team, Inserm, Villejuif, France; Faculty of Pharmacy, Univ. Paris-Sud, Université Paris-Saclay, Châtenay-Malabry, France
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11
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Vollmer S, Bommer C, Krishna A, Harttgen K, Subramanian SV. The association of parental education with childhood undernutrition in low- and middle-income countries: comparing the role of paternal and maternal education. Int J Epidemiol 2018; 46:312-323. [PMID: 27501820 PMCID: PMC5420755 DOI: 10.1093/ije/dyw133] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2016] [Indexed: 12/04/2022] Open
Abstract
Background: Most existing research on the association of parental education with childhood undernutrition focuses on maternal education and often ignores paternal education. We systematically investigate differences in maternal and paternal education and their association with childhood undernutrition. Methods: One hundred and eighty Demographic and Health Surveys from 62 countries performed between 1990 and 2014 were analysed. We used linear-probability models to predict childhood undernutrition prevalences, measured as stunting, underweight and wasting, for all combinations of maternal and paternal attainment in school. Models were adjusted for demographic and socio-economic covariates for the child, mother and household, country-level fixed effects and clustering. Additional specifications adjust for local area characteristics instead of country fixed effects. Results: Both higher maternal and paternal education levels are associated with lower childhood undernutrition. In regressions adjusted for child age and sex as well as country-level fixed effects, the association is stronger for maternal education than for paternal education when their combined level of education is held constant. In the fully adjusted models, the observed differences in predicted undernutrition prevalences are strongly attenuated, suggesting a similar importance of maternal and paternal education. These findings are confirmed by the analysis of composite schooling indicators. Conclusions: We find that paternal education is similarly important for reducing childhood undernutrition as maternal education and should therefore receive increased attention in the literature.
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Affiliation(s)
- Sebastian Vollmer
- University of Göttingen, Germany.,Harvard Center for Population and Development Studies, Cambridge, United States
| | | | - Aditi Krishna
- The Hospital for Sick Children, Global Child Health Centre, Toronto, Canada
| | | | - S V Subramanian
- Harvard Center for Population and Development Studies, Cambridge, United States
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12
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Patel R, Tilling K, Lawlor DA, Howe LD, Hughes RA, Bogdanovich N, Matush L, Nicoli E, Oken E, Kramer MS, Martin RM. Socioeconomic differences in childhood BMI trajectories in Belarus. Int J Obes (Lond) 2018; 42:1651-1660. [PMID: 29568106 PMCID: PMC6033313 DOI: 10.1038/s41366-018-0042-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 12/18/2017] [Accepted: 01/16/2018] [Indexed: 12/14/2022]
Abstract
Objective To examine associations of parental socioeconomic position with early-life offspring body mass index (BMI) trajectories in a middle-income country. Subjects Overall, 12,385 Belarusian children born 1996–97 and enrolled in a randomised breastfeeding promotion trial at birth, with 3–14 measurements of BMI from birth to 7 years. Methods Cohort analysis in which exposures were parental education (common secondary or less; advanced secondary or partial university; completed university) and occupation (manual; non-manual) at birth, and the outcome was BMI z-score trajectories estimated using multilevel linear spline models, controlling for trial arm, location, parental BMI, maternal smoking status and number of older siblings. Results Infants born to university-educated mothers were heavier at birth than those born to secondary school-educated mothers [by 0.13 BMI z-score units (95% confidence interval, CI: 0.07, 0.19) for girls and 0.11 (95% CI: 0.05, 0.17) for boys; equivalent for an infant of average birth length to 43 and 38 g, respectively]. Between the ages of 3–7 years children of the most educated mothers had larger BMI increases than children of the least educated mothers. At age 7 years, after controlling for trial arm and location, children of university-educated mothers had higher BMIs than those born to secondary school-educated mothers by 0.11 z-score (95% CI: 0.03, 0.19) among girls and 0.18 (95% CI: 0.1, 0.27) among boys, equivalent to differences in BMI for a child of average height of 0.19 and 0.26 kg/m2, respectively. After further controlling for parental BMI, these differences attenuated to 0.08 z-score (95% CI: 0, 0.16) and 0.16 z-score (95% CI: 0.07, 0.24), respectively, but changed very little after additional adjustment for number of older siblings and mother’s smoking status. Associations were similar when based on paternal educational attainment and highest household occupation. Conclusions In Belarus, consistent with some middle-income countries, higher socioeconomic position was associated with greater BMI trajectories from age 3 onwards.
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Affiliation(s)
- Rita Patel
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Kate Tilling
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Debbie A Lawlor
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Laura D Howe
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Rachael A Hughes
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Natalia Bogdanovich
- The National Research and Applied Medicine Mother and Child Centre, Minsk, Belarus
| | - Lidia Matush
- The National Research and Applied Medicine Mother and Child Centre, Minsk, Belarus
| | - Emily Nicoli
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Michael S Kramer
- Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada
| | - Richard M Martin
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,National Institute for Health Research Bristol Biomedical Research Unit in Nutrition, Bristol, UK
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13
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Socioeconomic differences in children’s growth trajectories from infancy to early adulthood: evidence from four European countries. J Epidemiol Community Health 2017; 71:981-989. [DOI: 10.1136/jech-2016-208556] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 02/28/2017] [Accepted: 07/07/2017] [Indexed: 12/20/2022]
Abstract
BackgroundHeight is regarded as a marker of early-life illness, adversity, nutrition and psychosocial stress, but the extent to which differences in height are determined by early-life socioeconomic circumstances, particularly in contemporary populations, is unclear. This study examined socioeconomic differences in children’s height trajectories from birth through to 21 years of age in four European countries.MethodsData were from six prospective cohort studies—Generation XXI, Growing Up in Ireland (infant and child cohorts), Millennium Cohort Study, EPITeen and Cardiovascular Risk in Young Finns Study—comprising a total of 49 492 children with growth measured repeatedly from 1980 to 2014. We modelled differences in children’s growth trajectories over time by maternal educational level using hierarchical models with fixed and random components for each cohort study.ResultsAcross most cohorts at practically all ages, children from lower educated mothers were shorter on average. The gradient in height was consistently observed at 3 years of age with the difference in expected height between maternal education groups ranging between −0.55 and −1.53 cm for boys and −0.42 to −1.50 cm for girls across the different studies and widening across childhood. The height deficit persists into adolescence and early adulthood. By age 21, boys from primary educated maternal backgrounds lag the tertiary educated by −0.67 cm (Portugal) and −2.15 cm (Finland). The comparable figures for girls were −2.49 cm (Portugal) and −2.93 cm (Finland).ConclusionsSignificant differences in children’s height by maternal education persist in modern child populations in Europe.
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14
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Martin RM, Kramer MS, Patel R, Rifas-Shiman SL, Thompson J, Yang S, Vilchuck K, Bogdanovich N, Hameza M, Tilling K, Oken E. Effects of Promoting Long-term, Exclusive Breastfeeding on Adolescent Adiposity, Blood Pressure, and Growth Trajectories: A Secondary Analysis of a Randomized Clinical Trial. JAMA Pediatr 2017; 171:e170698. [PMID: 28459932 PMCID: PMC5576545 DOI: 10.1001/jamapediatrics.2017.0698] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Evidence that breastfeeding reduces child obesity risk and lowers blood pressure (BP) is based on potentially confounded observational studies. OBJECTIVE To investigate the effects of a breastfeeding promotion intervention on adiposity and BP at age 16 years and on longitudinal growth trajectories from birth. DESIGN, SETTING, AND PARTICIPANTS Cluster-randomized Promotion of Breastfeeding Intervention Trial. Belarusian maternity hospitals and affiliated polyclinics (the clusters) were allocated into intervention (n = 16) or control arms (n = 15) in 1996 and 1997. The trial participants were 17 046 breastfeeding mother-infant pairs; of these, 13 557 children (79.5%) were followed up at 16 years of age between September 2012 and July 2015. INTERVENTIONS Breastfeeding promotion, modeled on the Baby-Friendly Hospital Initiative. MAIN OUTCOMES AND MEASURES Body mass index (BMI, calculated as weight in kilograms divided by height in meters squared); fat and fat-free mass indices and percentage of body fat from bioimpedance; waist circumference; overweight and obesity; height; BP; and longitudinal growth trajectories. The primary analysis was modified intention-to-treat (without imputation for losses to follow-up) accounting for within-clinic clustering. RESULTS We examined 13 557 children at a median age of 16.2 years (48.5% were girls). The intervention substantially increased breastfeeding duration and exclusivity compared with the control arm (exclusively breastfed: 45% vs 6% at 3 months, respectively). Mean differences at 16 years between intervention and control groups were 0.21 (95% CI, 0.06-0.36) for BMI; 0.21 kg/m2 (95% CI, -0.03 to 0.44) for fat mass index; 0.00 kg/m2 (95% CI, -0.21 to 0.22) for fat-free mass index; 0.71% (95% CI, -0.32 to 1.74) for percentage body fat; -0.73 cm (-2.48 to 1.02) for waist circumference; 0.05 cm (95% CI, -0.85 to 0.94) for height; -0.54 mm Hg (95% CI, -2.40 to 1.31) for systolic BP; and 0.71 mm Hg (95% CI, -0.68 to 2.10) for diastolic BP. The odds ratio for overweight/obesity (BMI ≥85th percentile vs <85th percentile) was 1.14 (95% CI, 1.02-1.28) and the odds ratio for obesity (BMI ≥95th percentile vs <95th percentile) was 1.09 (95% CI, 0.92-1.29). The intervention resulted in a more rapid rate of gain in postinfancy height (1 to 2.8 years), weight (2.8 to 14.5 years), and BMI (2.8 to 8.5 years) compared with the control arm. The intervention had little effect on BMI z score changes after 8.5 years. CONCLUSIONS AND RELEVANCE A randomized intervention that increased the duration and exclusivity of breastfeeding was not associated with lowered adolescent obesity risk or BP. On the contrary, the prevalence of overweight/obesity was higher in the intervention arm. All mothers initiated breastfeeding, so findings may not apply to comparisons of the effects of breastfeeding vs formula feeding. TRIAL REGISTRATION isrctn.org: ISRCTN37687716; and clinicaltrials.gov: NCT01561612.
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Affiliation(s)
- Richard M Martin
- School of Social and Community Medicine, University of Bristol, Bristol, UK, BS8 2PS,University Hospitals Bristol NHS Foundation Trust National Institute for Health Research Bristol Nutrition Biomedical Research Unit, University of Bristol, Bristol, UK,Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK, BS8 2BN
| | - Michael S. Kramer
- Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada, QC H3A 1A2
| | - Rita Patel
- School of Social and Community Medicine, University of Bristol, Bristol, UK, BS8 2PS
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive Suite 401E, Boston, USA, MA 02215
| | - Jennifer Thompson
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive Suite 401E, Boston, USA, MA 02215
| | - Seungmi Yang
- Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada, QC H3A 1A2
| | - Konstantin Vilchuck
- National Research and Applied Medicine Mother and Child Centre, Minsk, Republic of Belarus
| | - Natalia Bogdanovich
- National Research and Applied Medicine Mother and Child Centre, Minsk, Republic of Belarus
| | - Mikhail Hameza
- National Research and Applied Medicine Mother and Child Centre, Minsk, Republic of Belarus
| | - Kate Tilling
- School of Social and Community Medicine, University of Bristol, Bristol, UK, BS8 2PS
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive Suite 401E, Boston, USA, MA 02215
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15
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Devakumar D, Kular D, Shrestha BP, Grijalva-Eternod C, Daniel RM, Saville NM, Manandhar DS, Costello A, Osrin D, Wells JCK. Socioeconomic determinants of growth in a longitudinal study in Nepal. MATERNAL AND CHILD NUTRITION 2017; 14. [PMID: 28449415 PMCID: PMC5763270 DOI: 10.1111/mcn.12462] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 03/29/2017] [Accepted: 03/30/2017] [Indexed: 12/19/2022]
Abstract
Socioeconomic status (SES) is associated with childhood anthropometry, but little is known about how it is associated with tissue growth and body composition. To investigate this, we looked at components of SES at birth with growth in early and mid‐childhood, and body composition in a longitudinal study in Nepal. The exposure variables (material assets, land ownership, and maternal education) were quantified from questionnaire data before birth. Anthropometry data at birth, 2.5 and 8.5 years, were normalized using WHO reference ranges and conditional growth calculated. Associations with child growth and body composition were explored using multiple regression analysis. Complete anthropometry data were available for 793 children. There was a positive association between SES and height‐for‐age and weight‐for‐age, and a reduction in odds of stunting and underweight for each increase in rank of SES variable. Associations tended to be significant when moving from the lower to the upper asset score, from none to secondary education, and no land to >30 dhur (~500 m2). The strongest associations were for maternal secondary education, showing an increase of 0.6–0.7 z scores in height‐for‐age and weight‐for‐age at 2.5 and 8.5 years and 0.3 kg/m2 in fat and lean mass compared to no education. There was a positive association with conditional growth in the highest asset score group and secondary maternal education, and generally no association with land ownership. Our results show that SES at birth is important for the growth of children, with a greater association with fat mass. The greatest influence was maternal secondary education.
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Affiliation(s)
| | | | | | | | - Rhian M Daniel
- London School of Hygiene and Tropical Medicine, London, UK
| | | | | | | | - David Osrin
- Institute for Global Health, UCL, London, UK
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16
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Gough EK, Moodie EE, Prendergast AJ, Ntozini R, Moulton LH, Humphrey JH, Manges AR. Linear growth trajectories in Zimbabwean infants. Am J Clin Nutr 2016; 104:1616-1627. [PMID: 27806980 PMCID: PMC5118730 DOI: 10.3945/ajcn.116.133538] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 09/14/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Undernutrition in early life underlies 45% of child deaths globally. Stunting malnutrition (suboptimal linear growth) also has long-term negative effects on childhood development. Linear growth deficits accrue in the first 1000 d of life. Understanding the patterns and timing of linear growth faltering or recovery during this period is critical to inform interventions to improve infant nutritional status. OBJECTIVE We aimed to identify the pattern and determinants of linear growth trajectories from birth through 24 mo of age in a cohort of Zimbabwean infants. DESIGN We performed a secondary analysis of longitudinal data from a subset of 3338 HIV-unexposed infants in the Zimbabwe Vitamin A for Mothers and Babies trial. We used k-means clustering for longitudinal data to identify linear growth trajectories and multinomial logistic regression to identify covariates that were associated with each trajectory group. RESULTS For the entire population, the mean length-for-age z score declined from -0.6 to -1.4 between birth and 24 mo of age. Within the population, 4 growth patterns were identified that were each characterized by worsening linear growth restriction but varied in the timing and severity of growth declines. In our multivariable model, 1-U increments in maternal height and education and infant birth weight and length were associated with greater relative odds of membership in the least-growth restricted groups (A and B) and reduced odds of membership in the more-growth restricted groups (C and D). Male infant sex was associated with reduced odds of membership in groups A and B but with increased odds of membership in groups C and D. CONCLUSION In this population, all children were experiencing growth restriction but differences in magnitude were influenced by maternal height and education and infant sex, birth weight, and birth length, which suggest that key determinants of linear growth may already be established by the time of birth. This trial was registered at clinicaltrials.gov as NCT00198718.
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Affiliation(s)
- Ethan K Gough
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Erica Em Moodie
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Andrew J Prendergast
- Zvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.,Blizard Institute, Queen Mary University of London, London, United Kingdom
| | - Robert Ntozini
- Zvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe
| | - Lawrence H Moulton
- Zvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.,Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and
| | - Jean H Humphrey
- Zvitambo Institute for Maternal Child Health Research, Harare, Zimbabwe.,Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and
| | - Amee R Manges
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
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17
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Rodríguez López S, Bensenor IM, Giatti L, Molina MDC, Lotufo PA. Association between maternal education and blood pressure: mediation evidence through height components in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Ann Hum Biol 2016; 44:243-251. [DOI: 10.1080/03014460.2016.1188983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Santiago Rodríguez López
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
- Research and Study Centre on Culture and Society, National Scientific and Technical Research Council (CIECS-CONICET-UNC), Córdoba, Argentina
- Department of Biology, Autonomous University of Madrid, Madrid, Spain
| | - Isabela M. Bensenor
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
- School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Luana Giatti
- School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil
| | | | - Paulo A. Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
- School of Medicine, University of São Paulo, São Paulo, Brazil
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18
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Howe LD, Tilling K, Lawlor DA. Studying the life course health consequences of childhood adversity: challenges and opportunities. Circulation 2015; 131:1645-7. [PMID: 25858195 DOI: 10.1161/circulationaha.115.016251] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Laura D Howe
- From MRC Integrative Epidemiology Unit and School of Social and Community Medicine, University of Bristol, United Kingdom
| | - Kate Tilling
- From MRC Integrative Epidemiology Unit and School of Social and Community Medicine, University of Bristol, United Kingdom
| | - Debbie A Lawlor
- From MRC Integrative Epidemiology Unit and School of Social and Community Medicine, University of Bristol, United Kingdom.
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19
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Patel R, Tilling K, Lawlor DA, Howe LD, Bogdanovich N, Matush L, Nicoli E, Kramer MS, Martin RM. Socioeconomic differences in childhood length/height trajectories in a middle-income country: a cohort study. BMC Public Health 2014; 14:932. [PMID: 25200513 PMCID: PMC4181044 DOI: 10.1186/1471-2458-14-932] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Accepted: 08/29/2014] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Socioeconomic disadvantage is associated with shorter adult stature. Few studies have examined socioeconomic differences in stature from birth to childhood and the mechanisms involved, particularly in middle-income former Soviet settings. METHODS The sample included 12,463 Belarusian children (73% of the original cohort) born in 1996-1997, with up to 14 stature measurements from birth to 7 years. Linear spline multi-level models with 3 knots at 3, 12 and 34 months were used to analyse birth length and growth velocity during four age-periods by parental educational achievement (up to secondary school, advanced secondary/partial university, completed university) and occupation (manual, non-manual). RESULTS Girls born to the most (versus least) educated mothers were 0.43 cm (95% confidence interval (CI): 0.28, 0.58) longer at birth; for boys, the corresponding difference was 0.30 cm (95% CI: 0.15, 0.46). Similarly, children of the most educated mothers grew faster from birth-3 months and 12-34 months (p-values for trend ≤ 0.08), such that, by age 7 years, girls with the most (versus least) educated mothers were 1.92 cm (95% CI: 1.47, 2.36) taller; after controlling for urban/rural and East/West area of residence, this difference remained at 1.86 cm (95% CI: 1.42, 2.31), but after additionally controlling for mid-parental height, attenuated to 1.10 cm (95% CI: 0.69, 1.52). Among boys, these differences were 1.95 cm (95% CI: 1.53, 2.37), 1.89 cm (95% CI: 1.47, 2.31) and 1.16 cm (95% CI: 0.77, 1.55), respectively. Additionally controlling for breastfeeding, maternal smoking and older siblings did not substantively alter these findings. There was no evidence that the association of maternal educational attainment with growth differed in girls compared to boys (p for interaction = 0.45). Results were similar for those born to the most (versus least) educated fathers, or who had a parent with a non-manual (versus manual) occupation. CONCLUSIONS In Belarus, a middle-income former Soviet country, socioeconomic differences in offspring growth commence in the pre-natal period and generate up to approximately 2 cm difference in height at age 7 years. These associations are partly explained by genetic or other factors influencing parental stature. TRIAL REGISTRATION Current Controlled Trials: NCT01352247 assigned 9 Sept 2005; ClinicalTrials.gov. Identifier: NCT01561612 received 20 Mar 2012.
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Affiliation(s)
- Rita Patel
- />School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS UK
| | - Kate Tilling
- />School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS UK
| | - Debbie A Lawlor
- />School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Laura D Howe
- />School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Natalia Bogdanovich
- />The National Research and Applied Medicine Mother and Child Centre, Minsk, Belarus
| | - Lidia Matush
- />The National Research and Applied Medicine Mother and Child Centre, Minsk, Belarus
| | - Emily Nicoli
- />School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS UK
| | - Michael S Kramer
- />Department of Pediatrics, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada
- />Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada
| | - Richard M Martin
- />School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS UK
- />MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- />National Institute for Health Research, Bristol Biomedical Research Unit in Nutrition, Bristol, UK
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20
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Santos IS, Barros AJD, Matijasevich A, Zanini R, Chrestani Cesar MA, Camargo-Figuera FA, Oliveira IO, Barros FC, Victora CG. Cohort profile update: 2004 Pelotas (Brazil) Birth Cohort Study. Body composition, mental health and genetic assessment at the 6 years follow-up. Int J Epidemiol 2014; 43:1437-1437a-f. [PMID: 25063002 PMCID: PMC4190519 DOI: 10.1093/ije/dyu144] [Citation(s) in RCA: 113] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
This is an update of the 2004 Pelotas Birth Cohort profile, originally published in 2011. In view of the high prevalence of overweight and mental health problems among Brazilian children, together with the availability of state-of-the-art equipment to assess body composition and diagnostic tests for mental health in childhood, the main outcomes measured in the fifth follow-up (mean age 6.8 years) included child body composition, mental health and cognitive ability. A total of 3722 (90.2%) of the original mothers/carers were interviewed and their children examined in a clinic where they underwent whole-body dual X-ray absorptiometry (DXA), air displacement plethysmography and a 3D photonic scan. Saliva samples for DNA were obtained. Clinical psychologists applied the Development and Well-Being Assessment questionnaire and the Wechsler Intelligence Scale for Children to all children. Results are being compared with those of the two earlier cohorts to assess the health effects of economic growth and full implementation of public policies aimed at reducing social inequalities in the past 30 years. For further information visit the programme website at [http://www.epidemio-ufpel.org.br/site/content/coorte_2004/questionarios.php]. Applications to use the data should be made by contacting 2004 cohort researchers and filling in the application form available at [http://www.epidemio-ufpel.org.br/site/content/estudos/formularios.php].
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Affiliation(s)
- Iná S Santos
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Aluísio J D Barros
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Alicia Matijasevich
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Roberta Zanini
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Maria Aurora Chrestani Cesar
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Fabio Alberto Camargo-Figuera
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Isabel O Oliveira
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Fernando C Barros
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
| | - Cesar G Victora
- Universidade Federal de Pelotas, Pelotas, Brazil, Universidade de São Paulo, São Paulo, Brazil and Universidade Católica de Pelotas, Pelotas, Brazil
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21
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Howe LD, Tilling K, Matijasevich A, Petherick ES, Santos AC, Fairley L, Wright J, Santos IS, Barros AJ, Martin RM, Kramer MS, Bogdanovich N, Matush L, Barros H, Lawlor DA. Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts. Stat Methods Med Res 2013; 25:1854-1874. [PMID: 24108269 PMCID: PMC4074455 DOI: 10.1177/0962280213503925] [Citation(s) in RCA: 135] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Childhood growth is of interest in medical research concerned with determinants and consequences of variation from healthy growth and development. Linear spline multilevel modelling is a useful approach for deriving individual summary measures of growth, which overcomes several data issues (co-linearity of repeat measures, the requirement for all individuals to be measured at the same ages and bias due to missing data). Here, we outline the application of this methodology to model individual trajectories of length/height and weight, drawing on examples from five cohorts from different generations and different geographical regions with varying levels of economic development. We describe the unique features of the data within each cohort that have implications for the application of linear spline multilevel models, for example, differences in the density and inter-individual variation in measurement occasions, and multiple sources of measurement with varying measurement error. After providing example Stata syntax and a suggested workflow for the implementation of linear spline multilevel models, we conclude with a discussion of the advantages and disadvantages of the linear spline approach compared with other growth modelling methods such as fractional polynomials, more complex spline functions and other non-linear models.
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Affiliation(s)
- Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, School of Social and Community Medicine, University of Bristol, UK
| | - Kate Tilling
- School of Social and Community Medicine, University of Bristol, UK
| | - Alicia Matijasevich
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | | | - Ana Cristina Santos
- Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, University of Porto Institute of Public Health, Porto, Portugal
| | - Lesley Fairley
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - John Wright
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Iná S Santos
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Aluísio Jd Barros
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Richard M Martin
- School of Social and Community Medicine, University of Bristol, UK National Institute for Health Research Bristol Nutrition Biomedical Research Unit, University of Bristol / University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Michael S Kramer
- Department of Pediatrics, Faculty of Medicine, McGill University, Montreal, Canada
| | - Natalia Bogdanovich
- Belarusian Ministry of Health and Belarussian Maternal and Child Health Research Institute, Minsk, Belarus
| | - Lidia Matush
- Belarusian Ministry of Health and Belarussian Maternal and Child Health Research Institute, Minsk, Belarus
| | - Henrique Barros
- Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, University of Porto Institute of Public Health, Porto, Portugal
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, School of Social and Community Medicine, University of Bristol, UK
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22
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Fairley L, Petherick ES, Howe LD, Tilling K, Cameron N, Lawlor DA, West J, Wright J. Describing differences in weight and length growth trajectories between white and Pakistani infants in the UK: analysis of the Born in Bradford birth cohort study using multilevel linear spline models. Arch Dis Child 2013; 98:274-9. [PMID: 23418036 PMCID: PMC3858016 DOI: 10.1136/archdischild-2012-302778] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 01/15/2013] [Accepted: 01/21/2013] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To describe the growth pattern from birth to 2 years of UK-born white British and Pakistani infants. DESIGN Birth cohort. SETTING Bradford, UK. PARTICIPANTS 314 white British boys, 383 Pakistani boys, 328 white British girls and 409 Pakistani girls. MAIN OUTCOME MEASURES Weight and length trajectories based on repeat measurements from birth to 2 years. RESULTS Linear spline multilevel models for weight and length with knot points at 4 and 9 months fitted the data well. At birth Pakistani boys were 210 g lighter (95% CI -290 to -120) and 0.5 cm shorter (-1.04 to 0.02) and Pakistani girls were 180 g lighter (-260 to -100) and 0.5 cm shorter (-0.91 to -0.03) than white British boys and girls, respectively. Pakistani infants gained length faster than white British infants between 0 and 4 months (+0.3 cm/month (0.1 to 0.5) for boys and +0.4 cm/month (0.2 to 0.6) for girls) and gained more weight per month between 9 and 24 months (+10 g/month (0 to 30) for boys and +30 g/month (20 to 40) for girls). Adjustment for maternal height attenuated ethnic differences in weight and length at birth, but not in postnatal growth. Adjustment for other confounders did not explain differences in any outcomes. CONCLUSIONS Pakistani infants were lighter and had shorter predicted mean length at birth than white British infants, but gained weight and length quicker in infancy. By age 2 years both ethnic groups had similar weight, but Pakistani infants were on average taller than white British infants.
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Affiliation(s)
- Lesley Fairley
- Born in Bradford, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal Infirmary, Duckworth Lane, Bradford BD9 6RJ, UK.
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