The present study has explored mother-child relationships in the intake of different food groups and the sex differences in these relationships. A population-based sample of 471 mother-child pairs from Stockholm completed a dietary questionnaire to assess habitual dietary intake. Girls showed overall stronger correlations with their mothers' diet than boys did.
View Article and Find Full Text PDFAim: To examine the relation between adiposity assessment methods (percentage body fat (%BF), BMI, and waist circumference (WC)) and individual metabolic risk factors (f-insulin, HDL cholesterol, triglycerides) and a combined measure of metabolic risk.
Methods: Crosssectional study of 300 males (BMI 20.8 +/- 3.
The aim of the study was to investigate how soft drink and fruit juice consumption in teenagers is associated with life-style, other food choices, eating behaviour and maternal characteristics. A cross-sectional study of 16-year-old girls (n 275) and boys (n 199) and their mothers was undertaken. Questionnaires were used to assess habitual dietary intake, eating behaviour, physical activity, smoking and educational level.
View Article and Find Full Text PDFObjective: To describe the differences in socio-economic characteristics and body measurements between low, adequate and high energy reporting (LER, AER and HER) teenagers; furthermore, to investigate the relationship to misreporting mothers.
Design: Cross-sectional study. Habitual dietary intake was reported in a questionnaire.
Objective: To study associations between reported sugar intake and salivary bacteria (mutans streptococci, MS and lactobacilli, LB), and sugar intake in relation to body mass index (BMI), in women and adolescents.
Design: Cross-sectional study. Habitual dietary intake was reported in a questionnaire and whole saliva samples were collected and cultivated.
Cariogenic bacteria (lactobacilli and mutans streptococci) in saliva are possible biomarkers for sugar intake. We evaluated the strength of the evidence for an association between sugar intake and the two groups of bacteria, and concluded that there is a limited to moderately scientific basis for this association. Because of many confounding factors, bacteria counts can never be used as a precise measurement of sugar intake, but might still be useful on a group level.
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