Objective: To investigate the relationship between a child's weight and a broad range of family and maternal factors. Design, setting and participants: Cross‐sectional data from a population‐based prospective study, collected between January 2004 and December 2005, for 329 children aged 6–13 years (192 healthy weight, 97 overweight and 40 obese) and their mothers (n = 265) recruited from a paediatric hospital endocrinology department and eight randomly selected primary schools in Perth, Western Australia. Main outcome measures: Height, weight and body mass index (BMI) of children and mothers; demographic information; maternal depression, anxiety, stress and self‐esteem; general family functioning; parenting style; and negative life events. Results: In a multilevel model, maternal BMI and family structure (single‐parent v two‐parent families) were the only significant predictors of child BMI z scores. Conclusion: Childhood obesity is not associated with adverse maternal or family characteristics such as maternal depression, negative life events, poor general family functioning or ineffective parenting style. However, having an overweight mother and a single‐parent (single‐mother) family increases the likelihood of a child being overweight or obese.

Empirically based assessment provided a robust method for assessing and comparing adolescents' self-reported problems. Self-reports thus supplemented empirically based assessments of parent-reported problems and offered a cost-effective way of identifying problems for which adolescents from diverse cultural backgrounds may need help.

Measures of the gap in living standards, life expectancy, education, health and employment between Indigenous and non-Indigenous Australians are primarily derived from administrative data sources. However, Indigenous identification in these data sources is affected by administrative practices, missing data, inconsistency, and error. As these factors have changed over time, assessing whether the gap between Indigenous and non-Indigenous Australians has changed over time, based on data unadjusted for these sources of error can potentially lead to misguided conclusions. Combining administrative data on the same individuals collected from different sources provides a method by which a more consistent derived Indigenous status can be applied across all records for an individual within a linked data environment. We used the Western Australian Data Linkage system to produce derived Indigenous statuses for individuals using a range of algorithms. We found that these algorithms reduced the amount of missing data and improved within-individual consistency. Based on these findings, we recommend our Multi-Stage Median algorithm be used as the standard indicator of Indigenous status for any reporting based on administrative datasets when multiple datasets are available for linkage, and that algorithmic approaches also be considered for improving the quality of other demographic variables from administrative data sources.

This state‐wide Aboriginal community child health survey, the first of its kind in Australia, describes physical and mental health and their antecedents in Western Australian Aboriginal children and young people. Aboriginal young people had significantly more physical and mental health problems and were more likely to engage in lifestyle risk factors than non‐Aboriginal young people. Aboriginal young people tend to be caught up in a cycle of disadvantage that includes family and community factors as well as recent history, facilitating their making less optimal life choices, thereby perpetuating the cycle. A coordinated approach will be required to break this cycle, in which appropriately and sympathetically provided medical attention is necessary but not sufficient.