Evidence map›Paper›PMID 27649801›Full record

ArticleInternational journal of epidemiology2017

Infant body mass index peak and early childhood cardio-metabolic risk markers in a multi-ethnic Asian birth cohort.

Izzuddin M Aris, Jonathan Y Bernard, Ling-Wei Chen, Mya Thway Tint, Wei Wei Pang, Wai Yee Lim, Shu E Soh, Seang-Mei Saw, Keith M Godfrey, Peter D Gluckman and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
13.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  7. [A prospective cohort study of association between early childhood body mass index trajectories and the risk of overweight].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 4 countries.

Izzuddin M ArisSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research Singapore.
Jonathan Y BernardSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research Singapore.
Ling-Wei ChenDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Mya Thway TintDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wei Wei PangDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wai Yee LimSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Shu E SohSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research Singapore.
Seang-Mei SawSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Keith M GodfreyMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
Peter D GluckmanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research Singapore.
Yap-Seng ChongSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research Singapore.
Fabian YapDepartment of Paediatrics, KK Women's and Children's Hospital, Singapore.
Michael S KramerDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Yung Seng LeeSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research Singapore.
National University of Singapore · SGSingapore Institute for Clinical Sciences · SGNational University Health System · SGAgency for Science, Technology and Research · SGDuke-NUS Medical School · SGMcGill University · CAMRC Lifecourse Epidemiology Unit · GBUniversity of Auckland · NZ

Funding

Medical Research Council MC_U147574222Medical Research Council MC_U147574226Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4Medical Research Council MR/J000094/1
6 · The paper itself

Abstract

Background: : Infant body mass index (BMI) peak has received much interest recently as a potential predictor of future obesity and metabolic risk. No studies, however, have examined infant BMI peak in Asian populations, in whom the risk of metabolic disease is higher. Methods: : We utilized data among 1020 infants from a mother-offspring cohort, who were Singapore citizens or permanent residents of Chinese, Malay or Indian ethnicity with homogeneous parental ethnic backgrounds, and did not receive chemotherapy, psychotropic drugs or have diabetes mellitus. Ethnicity was self-reported at recruitment and later confirmed using genotype analysis. Subject-specific BMI curves were fitted to infant BMI data using natural cubic splines with random coefficients to account for repeated measures in each child. We estimated characteristics of the child's BMI peak [age and magnitude at peak, average pre-peak velocity (aPPV)]. Systolic (SBP) and diastolic blood pressure (DBP), BMI, sum of skinfolds (SSF) and fat-mass index (FMI) were measured during a follow-up visit at age 48 months. Weighted multivariable linear regression was used to assess the predictors (maternal BMI, gestational weight gain, ethnicity, infant sex, gestational age, birthweight-for-gestational age and breastfeeding duration) of infant BMI peak and its associations with outcomes at 48 months. Comparisons between ethnicities were tested using Bonferroni post-hoc correction. Results: : Of 1020 infants, 80.5% were followed up at the 48-month visit. Mean (SD) BMI, SSF and FMI at 48 months were 15.6 (1.8) kg/m 2 , 16.5 (5.3) mm and 3.8 (1.3) kg/m 2 , respectively. Mean (SD) age at peak BMI was 6.0 (1.6) months, with a magnitude of 17.2 (1.4) kg/m 2 and pre-peak velocity of 0.7 (0.3) kg/m 2 /month. Compared with Chinese infants, the peak occurred later in Malay {B [95% confidence interval (CI): 0.64 mo (0.36, 0.92)]} and Indian infants [1.11 mo (0.76, 1.46)] and was lower in magnitude in Indian infants [-0.45 kg/m 2 (-0.69, -0.20)]. Adjusting for maternal education, BMI, gestational weight gain, ethnicity, infant sex, gestational age, birthweight-for-gestational-age and breastfeeding duration, higher peak and aPPV were associated with greater BMI, SSF and FMI at 48 months. Age at peak was positively associated with BMI at 48 months [0.15 units (0.09, 0.22)], whereas peak magnitude was associated with SBP [0.17 units (0.05, 0.30)] and DBP at 48 months [0.10 units (0.01, 0.22)]. Older age and higher magnitude at peak were associated with increased risk of overweight at 48 months [Relative Risk (95% CI): 1.35 (1.12-1.62) for age; 1.89 (1.60-2.24) for magnitude]. The associations of BMI peak with BMI and SSF at 48 months were stronger in Malay and Indian children than in Chinese children. Conclusions: : Ethnic-specific differences in BMI peak characteristics, and associations of BMI peak with early childhood cardio-metabolic markers, suggest an important impact of early BMI development on later metabolic outcomes in Asian populations.

Indexed as

Body Mass IndexChild DevelopmentAdiposityBiomarkersBirth WeightBlood PressureBody CompositionCardiovascular DiseasesChild, PreschoolChinaCohort StudiesEthnicityFemaleGestational AgeHumansIndiaBiomarkersadiposityblood pressurebody compositioncardio-metabolic risk markerscohort studyinfant growth

Identifiers

PMID27649801
PMCPMC5231275
OpenAlexW2521844883

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.