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Objectives This paper aims to examine ethnic differences in financial barriers to access to prescriptionmedication in New Zealand. Methods Data from SoFIE-Health (wave 3), which is an add-on to the Statistics New Zealand-led longitudinal Survey of Family, Income and Employment (SoFIE) (N¼18 320), were analysed using logistic regression, adjusting for demographic, socioeconomic, health behaviour and health variables. Financial barriers to access to prescription items were measured by the following question: 'In the past 12 months, have there been any times when a doctor gave you a prescription, but you didn't collect one or more of these items because you could not afford the cost?'. Results The odds of deferring buying a prescription at least once during the preceding 12 months because they could not afford the cost of the prescription were greater for Maori and Pacific people than for NZ Europeans (OR 2.98, 95% CI 2.56 to 3.47 vs OR 3.52, 95% CI 2.85 to 4.35). Adjusting for potential confounders attenuated the ORs to 1.31 (95% CI 1.08 to 1.58) for Maori people and to 2.17 (95% CI 1.68 to 2.81) for Pacific people. Deferring buying medications because of cost was also associated with increased odds of poor self-reported health status, high/very high psychological stress and the presence of two or more comorbid conditions. Conclusion Ethnicity plays a critical role in facilitating or impeding access to primary health care. This suggests that policy measures to further reduce financial barriers to buying medication may improve access to care for everyone including Maori and Pacific people and may have positive health implications. [ABSTRACT FROM AUTHOR]

Background There is increased interest in the effectiveness and cobenefits of measures to promote walking and cycling, including health gains from increased physical activity and reductions in fossil fuel use and vehicle emissions. This paper analyses the changes in walking and cycling in two New Zealand cities that accompanied public investment in infrastructure married with programmes to encourage active travel. Method Using a quasi-experimental two-group pre-post study design, we estimated changes in travel behaviour from baseline in 2011 to mid-programme in 2012, and postprogramme in 2013. The intervention and control cities were matched in terms of sociodemographic variables and baseline levels of walking and cycling. A face-to-face survey obtained information on walking and cycling. We also drew from the New Zealand Travel Survey, a national ongoing survey of travel behaviour, which was conducted in the study areas. Estimates from the two surveys were combined using meta-analysis techniques. Results The trips and physical activity were evaluated. Relative to the control cities, the odds of trips being by active modes (walking or cycling) increased by 37% (95% CI 8% to 73%) in the intervention cities between baseline and postintervention. The net proportion of trips made by active modes increased by about 30%. In terms of physical activity levels, there was little evidence of an overall change. Discussion Comparing the intervention cities with the matched controls, we found substantial changes in walking and cycling, and conclude that the improvements in infrastructure and associated programmes appear to have successfully arrested the general decline in active mode use evident in recent years. [ABSTRACT FROM AUTHOR]

Background In-work tax credit (IWTC) for families, a welfare-to-work policy intervention, may impact health status by improving income and employment. Most studies estimate that IWTCs in the USA and the UK have no effect on self-rated health (SRH) and several other health outcomes, but these estimates may be biased by confounding. The current study estimates the impact of one such IWTC intervention (called In-Work Tax Credit) on SRH in adults in New Zealand, controlling more fully for confounding. Methods We used data from seven waves (2002-2009) of the Survey of Family, Income and Employment, restricted to a balanced panel of adults in families. The exposures, eligibility for IWTC and the amount of IWTC a family was eligible for, were derived for each wave by applying government eligibility and entitlement criteria. The outcome, SRH, was collected annually. We used fixed effects regression analyses to eliminate time-invariant confounding and adjusted for measured time-varying confounders. Results Becoming eligible for IWTC was associated with no detectable change in SRH over the past year (β=0.001, 95% CI .0.022 to 0.023). A $1000 increase in the IWTC amount a family was eligible for increased SRH by 0.003 units (95% CI .0.005 to 0.011). Conclusions This study found that becoming eligible for IWTC or a substantial increase in the IWTC amount was not associated with any detectable difference in SRH over the short term. Future research should investigate the impact of IWTC on health over the longer term. [ABSTRACT FROM AUTHOR]

Background In New Zealand, the burden of childhood obesity is greatest in M_aori and Pacific children. Methods In 687 infants from an internet-based birth cohort in New Zealand, we investigated ethnic differences in early life risk factors for later obesity, the degree to which these were explained by sociodemographic factors, and the extent to which ethnic differences in weight at age 3 months were explained by measured risk factors. Results The risk of having an obese mother was double in M_aori and Pacific infants compared with NZ European infants (prevalence 24% and 14%, respectively; OR 2.23, 95% CI 1.23 to 4.04). M_aori and Pacific infants had higher weights in the first week of life and at 3 months (mean difference 0.19 kg, 95% CI 0.01 to 0.38), and their mothers had higher scores on a ‘snacks' dietary pattern and lower scores on ‘healthy' and ‘sweet' dietary patterns. These inequalities were not explained by maternal education, maternal age or areabased deprivation. No ethnic differences were observed for maternal pre-pregnancy physical activity, hypertension or diabetes in pregnancy, exclusive breastfeeding or early introduction of solid foods. Ethnic inequalities in infant weight at 3 months were not explained by sociodemographic variables, maternal pre-pregnancy body mass index or dietary pattern scores or by other measured risk factors. Conclusions This study shows excess prevalence of early life risk factors for obesity in M_aori and Pacific infants in New Zealand and suggests an urgent need for early interventions for these groups. [ABSTRACT FROM AUTHOR]

Background Longitudinal studies specifically looking at the transition into parenthood and changes in mental health in the general population are scarce. This study aimed to investigate the impact of transition into parenthood on mental health and psychological distress using longitudinal survey data.Methods The analysis used three waves from the longitudinal Survey of Family, Income and Employment.Parenthood was classified as first time parent (first and only child <12 months at interview date), subsequent parent (child <12 months and other children in the family), existing parent (no children <12 months but other existing children in the family) and not a parent.We used fixed effects generalised linear modelling,controlling for all time-invariant and time-varying sources of confounding in a sample of 6670 adults within families.Results After adjusting for confounding from time-varying partner status, area deprivation, labour force status and household income, those who became first time parents reported an increase in mental health (β1.22, 95% CI −0.06 to 2.50; mean=83.8, SD=14.1)and a decrease in psychological distress (β −0.70 95%CI −1.10 to −0.29; mean=13.4, SD=5.0). Subsequent parents reported a decrease in psychological distress (β−0.60 95% CI −0.95 to −0.24).Conclusions Our findings suggest that a transition into parenthood for the first time leads to changes in mental health and psychological distress. Understanding the relationship between becoming a parent and mental health outcomes is important given that parental mental health is integral to effective parenting. [ABSTRACT FROM AUTHOR]

Background Evidence for a cross-sectional relationship between income and health is strong but is probably biased by substantial confounding. Longitudinal data with repeated income and health measures on the same individuals can be analysed to control completely for time-invariant confounding, giving a more accurate estimate of the impact of short-term changes in income on health. Methods 4 years of annual data (2002--2005) from the New Zealand longitudinal Survey of Family, Income and Employment were used to investigate the relationship between annual household income and self-rated health (SRH) using a fixed-effects ordinal logistic regression model. Possible effect modification of the income--SRH relationship by poverty and baseline health was tested with interactions. Results An increase in income of $10 000 over the past year increased the odds of reporting better SRH by 1% (OR 1.01, 95% CI 1.00 to 1.02). Poor baseline health significantly modified the association between income and SRH. A $10 000 increase in income increased the odds of better SRH by 10% for those with two or more chronic conditions. Poverty or deprivation did not modify the income--health association. Conclusions The overall small, positive, but statistically non-significant, income--health effect size is consistent with similar analyses from other longitudinal studies. Despite the overwhelming consensus that income matters for health over the medium and long-term, evidence free of time-invariant confounding for the short-run association remains elusive. However, measurement error in income and health has probably biased estimates towards the null. [ABSTRACT FROM AUTHOR]

Background Few cohort studies of the health effects of urban air pollution have been published. There is evidence, most consistently in studies with individual measurement of social factors, that more deprived populations are particularly sensitive to air pollution effects. Methods Records from the 1996 New Zealand census were anonymously and probabilistically linked to mortality data, creating a cohort study of the New Zealand population followed up for 3 years. There were 1.06 million adults living in urban areas for which data were available on all covariates. Estimates of exposure to air pollution (measured as particulate matter with an aerodynamic diameter less than 10 &mgr;m, PM10) were available for census area units from a previous land use regression study. Logistic regression analyses were conducted to investigate associations between causespecific mortality rates and average exposure to PM10 in urban areas, with control for confounding by age, sex, ethnicity, social deprivation, income, education, smoking history and ambient temperature. Results The odds of all-cause mortality in adults (aged 30e74 years at census) increased by 7% per 10 μg/m3 increase in average PM10 exposure (95% CI 3% to 10%) and 20% per 10 μg/m3 among Maori, but with wide CI (7% to 33%). Associations were stronger for respiratory and lung cancer deaths Conclusions An association of PM10 with mortality is reported in a country with relatively low levels of air pollution. The major limitation of the study is the probable misclassification of PM10 exposure. On balance, this means the strength of association was probably underestimated. The apparently greater association among Maori might be due to different levels of co-morbidity. INSETS: What is already known on this subject;What this study adds. [ABSTRACT FROM AUTHOR]

Background: New Zealand is a temperate country with substantial excess winter mortality. We investigated whether this excess winter mortality varies with social factors.Methods: Records from New Zealand censuses in 1981,1986, 1991, 1996 and 2001 were each anonymously and probabilistically linked to 3 years of subsequent mortality data creating five cohort studies of the New Zealand adult population (age 30-74 years at census) each with3 years' follow-up. Logistic regression analysis was used to model the risk of dying in winter compared to summer with winter deaths classified '1' and summer deaths '0'.There were 75 138 eligible mortality records with complete data on social variables recorded for 58 683(78%).Results: Adjusting for age, sex, census year, ethnicity and tenure, those in the lowest tertile of income were at increased risk of winter death compared to those in the highest tertile: OR 1.13 (95% CI 1.08 to 1.19). Compared to home owners, people living in rented accomadation were at greater risk of winter death: OR 1.05 (95% CI1.01 to 1.10). Urban dwellers were also at significantlyincreased risk. The strongest associations were seen for infectious diseases.Conclusions: There was an increased risk of dying in winter for most New Zealanders, but more so among low-income people, those living in rented accommodation and those living in cities. Exact casual mechanisms are not known but possibly include correlated poorer health status, low indoor temperatures and household crowding. [ABSTRACT FROM AUTHOR]

Background: Reducing health inequalities requires interventions that work as well, if not better, among disadvantaged populations. The aim of this study was to determine if the effects of price discounts and tailored nutrition education on supermarket food purchases (percentage energy from saturated fat and healthy foods purchased) vary by ethnicity, household income and education. Method: A 2×2 factorial trial of 1104 New Zealand shoppers randomised to receive a 12.5% discount on healthier foods and/or tailored nutrition education (or no intervention) for 6 months. Results: There was no overall association of price discounts or nutrition education with percentage energy from saturated fat, or nutrition education with healthy food purchasing. There was an association of price discounts with healthy food purchasing (0.79 kg/week increase; 95% CI 0.43 to 1.16) that varied by ethnicity (p=0.04): European/other 1.02 kg/week (n=755; 95% CI 0.60 to 1.43); Pacific 1.20 kg/week (n=101; 95% CI 0.06 to 2.34); Maori --0.15 kg/week (n=248; 95% CI --1.10 to 0.80). This association of price discounts with healthy food purchasing did not vary by household income or education. Conclusions: While a statistically significant variation by ethnicity in the effect of price discounts on food purchasing was found, the authors caution against a causal interpretation due to likely biases (eg, attrition) that differentially affected Maori and Pacific people. The study highlights the challenges in generating valid evidence by social groups for public health interventions. The null findings for tailored nutritional education across all social groups suggest that structural interventions (such as price) may be more effective. [ABSTRACT FROM AUTHOR]

Background This study investigated the impact of the Healthy Housing Programme in reducing acute hospitalisations in South Auckland, New Zealand. The programme involved house modifications to reduce overcrowding, insulation and ventilation improvements, and health and social service assessments, referrals and linkages. Methods An intervention evaluation was used. Participants in the programme were considered cases following their house's intervention and counterfactuals/ controls prior to the intervention. Rigorous age-censoring was used to construct a case-counterfactual comparison. 9736 residents of 3410 homes were involved in the programme from September 2001 to December 2007. All lived in areas of relative deprivation (NZDep01=decile 10) and almost all self-identified as Pacific ethnic group. The main outcome measure was acute hospitalisation rates before, during and after a health and housing intervention. Hospital data were gathered from July 1999 to January 2009. Results In the post-intervention group, people aged 5-34 years had a HR of 0.77 (95% CI 0.70 to 0.85) for acute hospitalisations compared to the counterfactual (pre-intervention). For children aged 0-4 years the HR was 0.89 (95% CI 0.79 to 0.99); a non-significant increase occurred in adults aged 35 years plus. When the causes of hospitalisation were restricted to those related to housing, further falls in the HRs were seen: 0.88 (95% CI 0.74 to 1.05) for 0e4 year olds and 0.73 (95% CI 0.58 to 0.91) for 5-34 year olds. Conclusion A package of care that addresses housing conditions that impact on health and improves access to health and social services is associated with a reduced acute hospitalisation rate for 0-34 year olds. [ABSTRACT FROM AUTHOR]