Evidence map›Paper›PMID 40355590›Full record

ArticleInternational journal of obesity (2005)2025

Determining the interplay of prenatal parental BMI in shaping child BMI trajectories: the CHILD Cohort Study.

Antonio Rossi, Zheng Hao Chen, Mojtaba Ahmadiankalati, Susan C Campisi, Myrtha E Reyna, Kendra Dempsey, David Jenkins, Deborah O'Connor, Ahmed El-Sohemy, Piushkumar J Mandhane and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Antonio RossiDepartment of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.
Zheng Hao ChenDepartment of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-1529-7129
Mojtaba AhmadiankalatiDepartment of Public Health Sciences, Queens University, Kingston, ON, Canada.
Susan C CampisiNutrition and Dietetics Program, Clinical Public Health Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Myrtha E ReynaTranslational Medicine Program, Department of Pediatrics, The Hospital of Sick Children, Toronto, ON, Canada.ORCID 0000-0002-1790-1724
Kendra DempseySchool of Medicine, University College Dublin, Belfield, Ireland.
David JenkinsDepartment of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.
Deborah O'ConnorDepartment of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.
Ahmed El-SohemyDepartment of Nutritional Sciences, University of Toronto, Toronto, ON, Canada.
Piushkumar J MandhaneDepartment of Pediatrics, University of Alberta, Edmonton, AB, Canada.
Elinor SimonsDepartment of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB, Canada.
Stuart E TurveyDepartment of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
Theo J MoraesTranslational Medicine Program, Department of Pediatrics, The Hospital of Sick Children, Toronto, ON, Canada.
Zihang LuDepartment of Public Health Sciences, Queens University, Kingston, ON, Canada.
Padmaja SubbaraoTranslational Medicine Program, Department of Pediatrics, The Hospital of Sick Children, Toronto, ON, Canada.ORCID 0000-0003-0394-1933
Kozeta MilikuDepartment of Nutritional Sciences, University of Toronto, Toronto, ON, Canada. kozeta.miliku@utoronto.ca.ORCID 0000-0002-9614-7191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a major public health concern affecting millions of people globally. Early identification of individuals susceptible to obesity is crucial for reducing the burden of obesity. Obesity is often defined based on body-mass-index (BMI), and tracking BMI trajectories from early childhood offers a valuable tool for risk stratification. Although the role of mothers in shaping these trajectories is well-recognized, the paternal influence on childhood obesity development remains a knowledge gap. We hypothesize that children of fathers with obesity have higher odds of being in the rapid BMI growth trajectory with stronger estimates when the mother is also with overweight or obesity.

methodsWe analyzed data from the Canadian CHILD Cohort Study, a pregnancy cohort in which both parents were enrolled in early pregnancy when BMI was assessed. The child's BMI was repeatedly collected from birth to age five. We used group-based trajectory modeling to identify offspring BMI z-score (BMIz) trajectory groups (age-and-sex standardized) and weighted multinomial logistic regression analysis to determine the associations between prenatal paternal BMI and offspring growth trajectories, stratified by maternal weight categories.

resultsAmong 2 238 participants, the mean prenatal paternal BMI was 27.44 (SD = 4.77), and 22.83% of fathers were with obesity. The four identified offspring BMIz trajectories were: low stable (n = 220, 9.83%), normative (n = 1 356, 60.59%), high stable (n = 572, 25.56%), and rapid BMIz growth trajectory (n = 90, 4.02%). Children of normal-weight mothers and fathers with obesity had 1.86 higher odds (OR: 1.86; 95%CI: 1.22-2.84) of being classified in the rapid growth BMIz trajectory, compared to children of normal-weight fathers. The odds of being in the rapid growth BMIz trajectory were higher when both mothers and fathers were with obesity (OR: 4.35; 95%CI: 2.65-7.14).

conclusionsChildren of fathers with obesity had higher odds of being in the rapid BMI growth trajectory, particularly when also the mother was with overweight or obesity. These results support the need for preconception advice and interventions for couples to optimize their offspring's health.

Indexed as

Body Mass IndexFathersPediatric ObesityAdultCanadaChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMaleMothersPregnancy

Identifiers

PMID40355590

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.