To examine the association of adolescents' snack and soft drink consumption with friendship group snack and soft drink consumption, availability of snacks and soft drinks at school, and personal characteristics, snack and soft drink consumption was assessed in 749 adolescents (398 girls, 351 boys, age 12.4 - 17.6 years), and their friends, and snack and soft drink availability at schools was measured. In regression analysis, consumption by friends, snack and soft drink availability within school, and personal characteristics (age, gender, education level, body mass index) were examined as determinants of snack and drink consumption. Snack and soft drink consumption was higher in boys, soft drink consumption was higher in lower educated adolescents, and snack consumption was higher in adolescents with a lower body weight. Peer group snack and soft drink consumption were associated with individual intake, particularly when availability in the canteen and vending machines was high. The association between individual and peer snack consumption was strong in boys, adolescents with a lower education level, and adolescents with lower body weights. Our study shows that individual snack and soft drink consumption is associated with specific combinations of consumption by peers, availability at school, and personal characteristics.
Unhealthy gestational weight gain (GWG) contributes to long-term obesity in women and their offspring. The aim of this study is to quantify midwives’ behavior in promoting healthy GWG and to identify the most important determinants related to this behavior.
Background: Multiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related symptoms, levels of PB of fatigued patients at the start of interventions might vary substantially. Better understanding of the variability by identification of PB subtypes in fatigued patients may help to develop more effective personalized rehabilitation programs in the future. This study aimed to identify PB subtypes in fatigued patients with multiple sclerosis based on multidimensional PB outcome measures. Methods: Baseline accelerometer (Actigraph) data, demographics and clinical characteristics of the TREFAMS-ACE participants (n = 212) were used for secondary analysis. All patients were ambulatory and diagnosed with severe fatigue based on a score of ≥35 on the fatigue subscale of the Checklist Individual Strength (CIS20r). Fifteen PB measures were used derived from 7 day measurements with an accelerometer. Principal component analysis was performed to define key outcome measures for PB and two-step cluster analysis was used to identify PB types. Results: Analysis revealed five key outcome measures: percentage sedentary behavior, total time in prolonged moderate-to-vigorous physical activity, number of sedentary bouts, and two types of change scores between day parts (morning, afternoon and evening). Based on these outcomes three valid PB clusters were derived. Conclusions: Patients with severe MS-related fatigue show three distinct and homogeneous PB subtypes. These PB subtypes, based on a unique set of PB outcome measures, may offer an opportunity to design more individually-tailored interventions in rehabilitation.
MULTIFILE
