Revised Healthy Lifestyle-Diet Index and associations with obesity and iron deficiency in schoolchildren: The Healthy Growth Study.

BACKGROUND: The Healthy Lifestyle-Diet Index (HLD-index), previously developed to assess the degree of adherence to dietary and lifestyle guidelines for primary schoolchildren, was revised according to updated recommendations. Τhe association of the revised HLD-index (R-HLD-index) with obesity and iron deficiency (ID) was also examined. METHODS: A representative sample of 2660 primary schoolchildren from Greece (9-13 years old) participating in the 'Healthy Growth Study' was examined. Twelve components related to dietary and lifestyle patterns were used to develop the R-HLD-index. Scores from 0 up to 4 were assigned to each one of these components, giving a total score ranging from 0 to 48. The associations between the R-HLD-index, obesity and ID were examined via logistic regression analysis. RESULTS: The total score of the R-HLD-index calculated for each one of the study participants was found to range between 2 and 32 units, with higher scores being indicative of a healthier lifestyle and better diet quality. After adjusting for potential confounders, logistic regression analysis showed that an increase in the R-HLD-index score by one unit was associated with 6% lower odds for obesity. However, no significant association was observed between the R-HLD-index score and ID. CONCLUSIONS: The R-HLD-index may be a useful tool for public health policy makers and healthcare professionals when assessing diet quality and lifestyle patterns of primary schoolchildren. Identification of children with lower scores in the R-HLD-index and its individual components could guide tailored made interventions targeting specific children and behaviors.

Identification of lifestyle patterns, including sleep deprivation, associated with insulin resistance in children: the Healthy Growth Study.

BACKGROUND/OBJECTIVES: Although diet, physical activity (PA), sedentary behavior and sleep deprivation are factors that have been individually associated with insulin resistance (IR) in childhood, the combined effect of these lifestyle behaviors has not been examined yet. The current study aimed to examine the association of lifestyle patterns with IR, combining all these indices, in children. SUBJECTS/METHODS: Socio-economic, demographic, anthropometric (body weight, height and waist circumference), biochemical (plasma glucose and serum insulin), clinical (pubertal stage) and lifestyle (dietary intake, PA level and sleeping habits) data were collected from a representative sample of 2026 children (50.1% girls) aged 9-13 years in Greece. Homeostasis model assessment (HOMA-IR) was calculated, and principal component analysis was used to identify lifestyle patterns, combining all these lifestyle indices. RESULTS: In multivariable regression analyses, the lifestyle pattern characterized by more screen time, shorter sleep duration and higher consumption of sugared beverages was positively associated with HOMA-IR (ß=0.043; P=0.040), whereas the pattern characterized by more time spent on moderate-to-vigorous PA (MVPA) and more frequent eating occasions was inversely associated with HOMA-IR (ß=-0.061; P=0.003). In logistic regression analyses, children with 72.2 min/day of MVPA and 5.05 eating occasions/day and children with 141.8 min/day of MVPA and 5.22 eating occasions/day were less likely of being insulin resistant based on HOMA-IR, compared with children with 20.0 min/day of MVPA and 4.09 eating occasions/day. CONCLUSIONS: A lifestyle pattern of >72 min of MVPA and 5 eating occasions/day was associated with reduced likelihood of IR in children.

The obesity-asthma link in different ages and the role of body mass index in its investigation: findings from the Genesis and Healthy Growth Studies.

BACKGROUND: To date, an obesity/asthma link is well defined in adults; however, the nature of such a link is obscure in children, partly due to Body Mass Index (BMI) limitations as a surrogate fat mass marker in childhood. We thus opted to investigate the association of adiposity with asthma in children of different ages, using several indices to assess fat mass. METHODS: Wheeze ever/in the last 12 months (current) and physician-diagnosed asthma were retrospectively reported via questionnaire by the parents of 3641 children, participating in two cross-sectional studies: 1626 children aged 2-5 (the Genesis Study) and 2015 children aged 9-13 (the Healthy Growth Study). Perinatal data were recorded from the children's medical records or reported by parents. Anthropometric measurements (i.e., BMI, waist/hip circumference, biceps/triceps/subscapular/suprailiac skinfold thickness) were conducted in both cohorts; bioelectric impedance analysis (BIA) was conducted only in preadolescent children. RESULTS: In children aged 2-5, asthma was positively correlated with conicity index, waist/hip circumference, waist-to-height ratio, skinfold thickness, and skinfold-derived percentage fat mass (P < 0.05) but not BMI or BMI-defined overweight/obesity, after adjusting for several confounders. In children aged 9-13, asthma was positively associated with conicity index, waist circumference, waist-to-height ratio, skinfold thickness, skinfold-derived percentage fat mass, BIA-derived percentage fat mass, BMI, and BMI-defined overweight/obesity, following adjustment (P < 0.05). Current/ever wheeze was not consistently associated with fat mass in either population. CONCLUSIONS: Fat mass is positively linked to asthma in both 2-5 and 9-13 age spans. However, the failure of BMI to correlate with preschool asthma suggests its potential inefficiency in asthma studies at this age range.