Finding studies
Finding studies
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Lead
University of Aarhus
With
Only limited insight exists into the natural history of childhood obesity at children already classified as obese. It is necessary to identify possible windows of opportunities to initiate treatment and to prevent further weight gain later in life. High Body Mass Index (BMI) or weight status early in life seems to predict the risk of persisting obesity and indicating BMI as an important predictor for the chance of remission. High birthweight has also been associated with poor chance of normalizing weight, when following children with obesity from kindergarten to the 8th grade, indicating that severe obesity can be detectable from early childhood. Children with severe obesity (iso-BMI ≥ 35) have been observed to gain weight with a faster rate and with a critical period between 12 to 14 years of age, compared to children with less-severe obesity (iso-BMI \< 35). Another report observes, that having obesity at the age of six was associated with obesity after puberty, while no such association was observed for younger children (six years). Hereby suggesting that children at a younger age have chance of achieving remission of obesity, than children classified as having obesity later in life. Other factors such as sex, ethnicity and interpersonal skills have also been observed to influence the chance of normalizing weight, when following children with obesity from 5th to 8th grade. This study aims to identify factors associated with achieving normal weight, when following children age 5-10 yrs. with obesity through childhood and puberty. In addition, to identify factors associated with having persisting obesity, or reaching a higher level of obesity (highest 20% increase in BMI z-score from baseline) The participants: This study includes Danish children 5 to 10 years of age with obesity with minimum three years of follow-up during. Children invited into the local community-based lifestyle intervention will be excluded. The IOTF cut-offs for weight status at the last obtained observation will be used to define the groups. Data sources: 1. Observations containing anthropometrics have been extracted from TM-Sund for each child. TM-Sund is a database used in Aarhus municipality to store data on anthropomet-rics obtained at health checks at the school (read more on https://www.solteq.com/da). 2. Data on family structure, socioeconomic status (SES), immigration status and psychiatric diagnoses (child and parents) will be obtained from Danish registries at Statistics Den-mark. 3. The local registry at Aarhus Municipality will be used to identify and exclude children 1) treated in or 2) declined participation in a lifestyle intervention. Statistics: A logistic regression analysis will be used to identify baseline factors associated with the group of children normalizing weight, persistent obesity and highest increase of BMI z-score (above the 20th centile) at the last observation, respectively. Observations will be weighted by the possible follow-up. Ethics \& permissions: The Danish Data Protection Agency and the local committee on health ethics have approved the overall project and data transfer (rec.no 1-45-70-27-2).
Age
5–10
Sex
ALL
Healthy volunteers
Not accepted
