Prevalence of Childhood Obesity by Country, Family Socio-Demographics, and Parental Obesity in Europe: The Feel4Diabetes Study.
George MoschonisGeorge SiopisCostas A AnastasiouVioleta IotovaTanya StefanovaRoumyana DimovaImre RurikAnette Si RadóGreet CardonMarieke De CraemerJaana LindströmLuis Alberto Moreno AznarFernando CiveiraKonstantinos MakrilakisStavros LiatisYannis Maniosnull On Behalf Of The Feel Diabetes-Study GroupPublished in: Nutrients (2022)
The Feel4Diabetes study recruited 12,193 children (age: 8.20 ±1.01 years) and their parents from six European countries as part of the broader attempt to prevent type 2 diabetes. The current work collected data pre-intervention to identify the prevalence of childhood obesity by country and describe its association with socio-demographic characteristics and parental obesity status. One in four children were overweight or obese, and one in four families had at least one obese parent. Multivariate logistic regression examined the associations between childhood obesity, family socio-demographics, and parental obesity status. Children had a higher chance of being overweight or obese if they were living in "low income" countries (OR: 2.11, 95% CI: 1.62, 2.74) and countries "under economic crisis" (OR: 2.48, 95% CI: 1.89, 3.24) compared to "high-income" countries; if their fathers completed fewer than nine years of education (OR: 2.16, 95% CI: 1.54, 3.05) compared to children whose fathers had a higher level (>14 years) of education; and if one (OR: 2.46, 95% CI: 0.32, 0.62) or both of their parents (OR: 6.83, 95% CI: 5.15, 9.05) were obese. Future childhood obesity prevention-programs should target the whole family while taking into consideration the socioeconomic and weight status of parents. Future research should examine these associations in more countries and in socio-demographically diverse populations in order to facilitate the generalisability of the present study's findings.
Keyphrases
- type diabetes
- weight loss
- metabolic syndrome
- weight gain
- insulin resistance
- glycemic control
- bariatric surgery
- adipose tissue
- young adults
- physical activity
- healthcare
- randomized controlled trial
- risk factors
- public health
- body mass index
- obese patients
- mental health
- machine learning
- deep learning
- current status
- data analysis
- big data