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Lifestyle-based subtypes of childhood obesity and their association with cardiometabolic factors: A cluster analysis.
Huang, Jia-Shuan; Ramakrishnan, Rema; Liu, Quan-Zhen; Wang, Cheng-Rui; Shen, Song-Ying; Huang, Ming-Xi; Wei, Xue-Ling; Qiu, Xiu; He, Jian-Rong.
Afiliação
  • Huang JS; Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • Ramakrishnan R; The First Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, China.
  • Liu QZ; National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Wang CR; Nanshan College, Guangzhou Medical University, Guangzhou, China.
  • Shen SY; Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • Huang MX; Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • Wei XL; Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • Qiu X; Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • He JR; Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Pediatr Obes ; 19(7): e13127, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38747282
ABSTRACT

BACKGROUND:

Lifestyle factors play an important role in the development and management of childhood obesity and its related cardiometabolic complications. OBJECTIVE/

METHODS:

We aimed to explore childhood obesity subtypes based on lifestyle factors and examine their association with cardiometabolic health. We included 1550 children with obesity from the National Health and Nutrition Examination Survey. Cluster analysis identified obesity subtypes based on four lifestyle factors (physical activity, diet quality, sedentary time and smoking). Multiple linear regression assessed their association with cardiometabolic factors.

RESULTS:

Five subtypes of childhood obesity were identified unhealthy subtype (n = 571; 36.8%), physically active subtype (n = 185; 21.1%), healthy diet subtype (n = 404; 26.1%), smoking subtype (n = 125; 8.1%) and non-sedentary subtype (n = 265; 17.1%). Compared with the unhealthy subtype, the physically active subtype had lower insulin and HOMA-IR levels, and smoking subtype was associated with lower HDL levels. When compared with children with normal weight, all obesity subtypes had worse cardiometabolic profile, except the physically active subtype who had similar DBP, HbA1c and TC levels; smoking subtype who had similar TC levels; and healthy diet and non-sedentary subtypes who had similar DBP levels.

CONCLUSION:

Children of different lifestyle-based obesity subtypes might have different cardiometabolic risks. Our new classification system might help personalize assessment of childhood obesity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exercício Físico / Obesidade Infantil / Estilo de Vida Limite: Adolescent / Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Exercício Físico / Obesidade Infantil / Estilo de Vida Limite: Adolescent / Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article