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Lifestyle behaviours of immigrant and Australian children: Evidence from a nationally representative sample.

ABSTRACT: This study aimed to examine the prevalence of physical activity (PA), screen time (ST), sleep, and fruit and vegetable intake of children with low-and-middle-income countries (LMIC) parents, high-income countries (HIC), and Australian children, and whether these behaviours are associated with their immigrant status. Data for this study were from wave 7 of the Birth cohort (B cohort) of the Longitudinal Study of Australian Children. We used generalized estimating equations (GEE) to examine associations between health behaviours and immigrant status. The models were adjusted for a number of covariates. Children with LMIC parents had lower odds of meeting PA and sleep recommendations and higher odds ratio (OR) of meeting fruit and vegetable intake, and ST recommendations than Australian or HIC children. Children with LMIC parents had one-third the odds of meeting the PA recommendations (OR 0.39 [95%CI 0.22-0.70]) than Australian children. No significant differences were observed in lifestyle behaviours among children with HIC parents and Australian children. Lifestyle behaviours of children with LMIC parents differed from those of HIC and Australian children. However, children with HIC parents and Australian children had comparable lifestyle behaviours. Identified disparities in lifestyle behaviours among immigrant children can inform strategies to bring equity in Australian children's lifestyles. Our study underscores the importance of culturally appropriate targeted interventions to promote PA and sleep of children with LMIC parents.

SUBMITTER: Ahmed S

PROVIDER: S-EPMC9219330 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Previous research shows that environmental and social factors contribute to the development of attention-deficit/hyperactivity disorder (ADHD). OBJECTIVE:To determine the relationship between early-life exposure to common ambient air pollutants (benzene, toluene, ethylbenzene, and xylene, also known as BTEX), household material hardship (a measure of socio-economic status), and ADHD-suggestive behaviours in kindergarten-age children. METHODS:Pollutant exposure estimated from the 2002 National Air Toxics Assessment at each child's residential ZIP code at enrolment was linked to the Early Childhood Longitudinal Study Birth Cohort (n = 4650). Material hardship was assigned as a composite score of access to food, health care, and housing. Kindergarten teachers rated children's behaviours and activity in the classroom using a five-point Likert scale. Children with summary scores in the bottom decile were classified as displaying ADHD-suggestive behaviours. Logistic regression models were constructed to estimate the association between both BTEX exposure and material hardship on ADHD-suggestive behaviours. RESULTS:The odds of displaying ADHD-suggestive behaviours were greater in children with combined high-level exposure to BTEX and in those experiencing material hardship (odds ratio 1.54, 95% confidence interval [CI] 1.12, 2.11, and OR 2.12, 95% CI 1.25, 3.59, respectively), adjusting for covariates. These associations were stronger when restricting the study population to urban areas. There was no evidence of interaction between early life BTEX exposure and material hardship, although the effects of BTEX exposure were slightly greater in magnitude among those with higher material hardship scores. CONCLUSIONS:Children exposed to air toxics, material hardship, or both early in life are more likely to display signs of ADHD-suggestive behaviours as assessed by their kindergarten teachers. The associations between exposures to air pollution and to socio-economic hardship were observed in all children but were particularly strong in those living in urban areas.

Project description:BackgroundResearchers are increasingly acknowledging the importance of understanding patterns of engagement in multiple, as opposed to isolated, health behaviours. Accordingly, several studies, targeting various geographical regions, have begun to identify and characterize unique classes of individuals in terms of their engagement in health behaviours, towards gaining insights that might guide tailored health interventions. Our study extends this stream of research to the Israeli context, as well as examines whether certain sociodemographic characteristics tend to be associated with affiliation to a specific group of individuals, i.e., class membership.MethodsTwo large representative samples were obtained from the 2010 and 2017 National Social Surveys of the Israel Central Bureau of Statistics. Latent Class Analysis was used to identify different classes, based on levels of engagement in five health behaviours: fruit-and-vegetable consumption, physical activity, smoking avoidance, sleep, and influenza vaccination. Multinomial logistic regression was applied to test the associations between sociodemographic characteristics (age, gender, religion, education level) and class membership.ResultsWe identified three distinct classes (denoted "healthy", "unhealthy", and "mixed"). Overall, the "healthy" class was characterized by healthy levels of fruit-and-vegetable consumption and physical activity, a low rate of currently-smoking individuals, and a high proportion of influenza vaccination. The "mixed" class was characterized by healthy levels of fruit-and-vegetable consumption and sleep duration, moderate levels of physical exercise, a high proportion of currently light smokers, and a low rate of vaccination. The "unhealthy" class was marked by relatively low levels of engagement in health behaviours. Generally, older, Jewish, and more-educated individuals were more likely to belong to the "healthy" class, while young, non-Jewish, and less-educated individuals were more likely to belong to the "unhealthy" class. We further identified differences between the 2010 and 2017 samples (e.g., differences in men's likelihood of being in the "unhealthy" class), suggesting that some behavioural patterns might have changed over time.ConclusionThis research identified three classes of engagement in health behaviours across two large and representative samples. Moreover, the classes were associated with unique sociodemographic characteristics. Consequently, our findings can highlight health-behavioural patterns relevant to different sub-populations that should be considered in public health interventions.

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Lifestyle behaviours of immigrant and Australian children: Evidence from a nationally representative sample.

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