Dietary Patterns in Adolescent Obesity as Predictors of Long-Term Success Following an Intensive Inpatient Lifestyle Programme.
Jana BrauchmannAnne-Madeleine BauGert Bernardus Maria MensinkAlmut RichterAndrea ErnertTheresa KellerSusanna WiegandPublished in: International journal of environmental research and public health (2022)
(1) Background: Lifestyle interventions for adolescents with obesity show minor long-term effects on anthropometric parameters. The persistence of dietary changes after obesity inpatient rehabilitation has not been sufficiently investigated. (2) Objectives: To analyse dietary patterns in German adolescents with obesity as predictors of long-term success following an intensive inpatient lifestyle programme regarding food choices as well as body weight and comorbidities. (3) Methods: Food consumption data of 137 German adolescents with obesity aged 10-17 years were collected by a nutrition interview. Cluster analysis was used to group the participants according to their food consumption. Dietary patterns, changes in body weight and insulin resistance were compared over a 2-year-period. (4) Results: Three dietary patterns were identified. Big Eaters (n = 32) consume high amounts of total sugar and meat, Moderate Eaters (n = 66) have a diet comparable to the national average, and Snackers (n = 39) have a particularly high consumption of total sugar. Big Eaters and Snackers significantly reduced the consumption of total sugar. Among Moderate Eaters, no persistent changes were observed. (5) Conclusion: Weight reduction interventions can induce long-lasting changes in the diet of adolescents with obesity. Therefore, the success of a weight reduction intervention should not be determined by weight reduction only.
Keyphrases
- weight loss
- physical activity
- insulin resistance
- metabolic syndrome
- body weight
- weight gain
- young adults
- high fat diet induced
- type diabetes
- mental health
- body mass index
- high fat diet
- adipose tissue
- polycystic ovary syndrome
- cardiovascular disease
- palliative care
- big data
- randomized controlled trial
- glycemic control
- quality improvement
- risk assessment
- electronic health record
- mass spectrometry
- human health
- acute care
- deep learning