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Developmental trajectories at a high risk for childhood overweight/obesity.
Yoshinaga, Masao; Takahashi, Hideto; Ito, Yoshiya; Aoki, Machiko; Miyazaki, Ayumi; Kubo, Toshihide; Shinomiya, Masaki; Horigome, Hitoshi; Tokuda, Masakuni; Lin, Lisheng; Ogata, Hiromitsu; Nagashima, Masami.
Afiliação
  • Yoshinaga M; Department of Pediatrics, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan.
  • Takahashi H; Orange Medical and Welfare Center for Severe Motor and Intellectual Disabilities, Kirishima, Japan.
  • Ito Y; National Institute of Public Health, Wako, Japan.
  • Aoki M; Clinical Medicine Area, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan.
  • Miyazaki A; Department of Pediatrics, Aoki Internal Medicine and Cardiovascular and Pediatrics Clinic, Fukuoka, Japan.
  • Kubo T; Department of Pediatrics, Japan Community Health Care Organization Takaoka Fushiki Hospital, Takaoka, Japan.
  • Shinomiya M; Department of Pediatrics, National Hospital Organization Okayama Medical Center, Okayama, Japan.
  • Horigome H; Department of Internal Medicine, Nishifuna Naika, Funabashi, Japan.
  • Tokuda M; Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.
  • Lin L; Tokuda Children's Clinic, Amagasaki, Japan.
  • Ogata H; Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan.
  • Nagashima M; Epidemiology and Biostatistics, Kagawa Nutrition University, Sakado, Japan.
Pediatr Int ; 65(1): e15425, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36416571
ABSTRACT

BACKGROUND:

The associations between developmental patterns (trajectories) in children and maternal factors have been widely investigated, but paternal effects on these trajectories are unclear. This study aimed to determine child and parental factors involved in developmental trajectories at high risk for causing adverse cardiovascular (CV) profiles in children.

METHODS:

We analyzed longitudinal anthropometric data from birth to the present and CV profiles of 1,832 healthy volunteers (51% girls) aged 3-15 years who participated in a nationwide study between July 2012 and January 2014. Six trajectory latent class growth models were developed using body mass index z- scores. Predictors for being in developmental trajectories at high risk for causing adverse CV profiles were determined by multivariate regression analysis.

RESULTS:

The mean±standard deviation number of anthropometric data points was 12±3 for both boys and girls. Among the six trajectories, the infantile onset and continual increase groups had significantly worse levels of many CV profiles than those in the remaining groups. Paternal overweight/obesity was an independent predictor for boys being in the infantile onset group and for girls being in the continual increase group. Additionally, maternal pre-pregnancy overweight/obesity in boys and maternal excessive gestational weight gain in girls were independent predictors for being in the infantile onset group. Having no sibling in boys and an older maternal age were independent predictors for being in the continual increase group.

CONCLUSIONS:

Interventions to prevent childhood obesity should include strategies that focus on fathers and mothers as well as those that focus on children with certain types of familial background.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Obesidade Infantil Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Male / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Obesidade Infantil Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Male / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article