Dataset Information

Identifying patterns of lifestyle behaviours among children of 3 years old.

ABSTRACT: Background: To identify the patterns of lifestyle behaviours in children aged 3?years, to investigate the parental and child characteristics associated with the lifestyle patterns, and to examine whether the identified lifestyle patterns are associated with child BMI and weight status.

Methods: Cross-sectional data of 2090 children 3 years old participating in the Dutch BeeBOFT study were used. Child dietary intakes, screen times and physical activity were assessed by parental questionnaire, and child weight and height were measured by trained professionals according to a standardized protocol. Latent class analysis was applied to identify patterns of lifestyle behaviours among children.

Results: Three subgroups of children with distinct patterns of lifestyle behaviours were identified: the 'unhealthy lifestyle' pattern (36%), the 'low snacking and low screen time' pattern (48%) and the 'active, high fruit and vegetable, high snacking and high screen time' pattern (16%). Children with low maternal educational level, those raised with permissive parenting style (compared those with authoritative parents), and boys were more likely be allocated to the 'unhealthy lifestyle' pattern and the 'active, high fruit and vegetable, high snacking and high screen time' pattern (P?
Conclusions: Three different lifestyle patterns were observed among children aged 3?years. Low maternal educational level, permissive parenting style and male gender of the child were associated with having unhealthy lifestyle patterns for the child.

SUBMITTER: Wang L

PROVIDER: S-EPMC7733046 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Identifying patterns of lifestyle behaviours among children of 3 years old.

Wang Lu L Jansen Wilma W van Grieken Amy A Vlasblom Eline E Boere-Boonekamp Magda M MM L'Hoir Monique P MP Raat Hein H

European journal of public health 20201201 6

<h4>Background</h4>To identify the patterns of lifestyle behaviours in children aged 3 years, to investigate the parental and child characteristics associated with the lifestyle patterns, and to examine whether the identified lifestyle patterns are associated with child BMI and weight status.<h4>Methods</h4>Cross-sectional data of 2090 children 3 years old participating in the Dutch BeeBOFT study were used. Child dietary intakes, screen times and physical activity were assessed by parental quest ...[more]

PMID: 32653911

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Project description:The aim of this study was to examine the associations of dietary-lifestyle patterns (DLPs) with adiposity and metabolic abnormalities in adult Polish men that were under 40. The cross-sectional study included 358 men that were 19-40-year-old. Dietary and lifestyle data were collected with multicomponent food frequency questionnaire (KomPAN®). DPLs were derived with Principal Component Analysis (PCA) using 25 dietary and six lifestyle as the input variables. Adiposity was determined with the use of: overweight (body mass index 25-29.9 kg/m2), central obesity (waist-to-height ratio ? 0.5), general obesity (body fat ? 25%), excessive visceral fat tissue (? median), and increased skeletal muscle mass (? median). The metabolic abnormalities were characterised by elevated: fasting blood glucose (FBG ? 100 mg/dL), triglycerides (TG ? 150 mg/dL), total cholesterol (TC ? 200 mg/dL), or systolic or diastolic blood pressure (? 130 or ? 85 mmHg, respectively). Four PCA-driven DLPs were derived and labelled accordingly to the most characteristic dietary or lifestyle behaviours that were correlated with each pattern. Multivariate logistic regression revealed that higher adherence (upper vs. bottom tertile as referent) to "Protein food, fried-food, and recreational physical activity" pattern was associated with higher odds of overweight and increased skeletal muscle mass, and lower odds of: general obesity, excessive visceral fat tissue, and elevated TC. Higher adherence to "Healthy diet, active, past smokers" pattern was associated with higher odds of overweight and lower odds of: general obesity, excessive visceral fat tissue, and elevated FBG. Higher adherence to "Sandwiches and convenient diet" pattern was associated with higher odds of: central obesity, general obesity, excessive visceral fat tissue, elevated TC, elevated TG, occurrence at least two metabolic abnormalities, and lower odds of increased skeletal muscle mass. A higher adherence to "Fast foods and stimulants" pattern was associated with higher odds of central obesity, general obesity, excessive visceral fat tissue, and lower odds of increased skeletal muscle mass. The interrelations between diet and lifestyle behaviours were reflected in three out of four patterns. Healthy diet attempts combined with active lifestyle was associated with reduced risk of adiposity and metabolic abnormalities despite some unhealthy components, like former smoking or fried-food consumption. In contrary, patterns that were composed of undesirable dietary behaviours solely, as well as poor diet combined with stimulant use, were associated with higher adiposity and worse metabolic health, despite the relatively young age of the study participants. Accurate mapping of dietary-lifestyle behaviours can serve as a tool for formulating evidence-based recommendations.

Project description:BackgroundLower inhibitory control has been associated with obesity. One prediction is that lower inhibitory control underlies eating behaviours that promote increased energy intakes. This study examined the relationships between children's inhibitory control measured using the Stop Signal Task (SST), body composition and eating behaviours, which included self-served portion size, number of servings, eating rate, and energy intake at lunch and in an eating in the absence of hunger (EAH) task.MethodsThe sample included 255 6-year-old children from an Asian cohort. Stop-signal reaction time (SSRT) was used as an index of inhibitory control. Children participated in a recorded self-served lunchtime meal, followed by the EAH task where they were exposed to energy-dense snacks. Behavioural coding of oral processing was used to estimate eating rates (g/min). BMI, waist circumference and skinfolds were used as indices of adiposity.ResultsChildren with lower inhibitory control tended to self-serve larger food portions (p = 0.054), had multiple food servings (p = 0.006) and significantly faster eating rates (p = 0.041). Inhibitory control did not predict energy intake at lunch (p = 0.17) or during the EAH task (p = 0.45), and was unrelated to measures of adiposity (p > 0.32). Twenty percent of the children in the sample had problems focusing on the SST and were described as 'restless'. Post-hoc analysis revealed that these children had lower inhibitory control (p < 0.001) and consumed more energy during the EAH task (p = 0.01), but did not differ in any other key outcomes from the rest of the sample (p > 0.1).ConclusionsChildren with lower inhibitory control showed a trend to select larger food portions, had multiple food servings and faster eating rates, but were equally as responsive to snacks served in the absence of hunger as children with better inhibitory control. Inhibitory control may impact a number of eating behaviours, not limited to energy-dense snacks.

Dataset Information

Identifying patterns of lifestyle behaviours among children of 3 years old.

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Identifying patterns of lifestyle behaviours among children of 3 years old.

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