The links between parental smoking and childhood obesity: data of the longitudinal study of Australian children.

Childhood obesity is one of the most concerning public health issues globally and its implications in mortality and morbidity in adulthood are increasingly important. This study uses a unique dataset of Australian children aged 4-16 to examine the impact of parental smoking on childhood obesity. It confirms a significant link between parental smoking (stronger for mothers) and higher obesity risk in children, regardless of income, age, family size, or birth order. Importantly, we explore whether heightened preference for unhealthy foods can mediate the effect of parental smoking. Our findings suggest that increased consumption of unhealthy foods among children can be associated with parental smoking.

Do refugees with better mental health better integrate? Evidence from the Building a New Life in Australia longitudinal survey.

Hardly any evidence exists on the effects of mental distress on refugee labor outcomes. We offer the first study on this topic in the context of Australia, one of the host countries with the largest number of refugees per capita in the world. Analyzing the Building a New Life in Australia longitudinal survey, we exploit the variations in traumatic experiences of refugees interacted with post-resettlement time periods to causally identify the impacts of refugee mental health. We find that worse mental health, as measured by a one-standard-deviation increase in the Kessler mental health score, reduces the probability of employment by 11.9% and labor income by 22.8%. These effects appear more pronounced for refugees that newly arrive or are without social networks, but they may be ameliorated with government support. These findings have significant implications for the development of health and labor policies, particularly regarding the integration of refugees within host countries.

The impact of lockdowns during the COVID-19 pandemic on fertility intentions.

Lockdown edicts during the COVID-19 pandemic have led to concerns about consequences for childbirth plans and decisions. Robust empirical research to either refute or confirm these concerns, however, is lacking. To evaluate the causal impact of lockdowns on fertility, we exploited a large sample of Australians (aged 18-45) from a nationally representative household panel survey and leveraged variation from a unique natural experiment that occurred in Australia in 2020: a lockdown imposed in the state of Victoria, but not elsewhere in Australia. Difference-in-differences models were estimated comparing changes in fertility intentions of persons who resided in Victoria during lockdown, or within four weeks of the lockdown being lifted, and those living elsewhere in Australia. Results revealed a significantly larger decline in reported intentions of having another child among women who lived through the protracted lockdown. The average effect was small, with fertility intentions estimated to fall by between 2.8% and 4.3% of the pre-pandemic mean. This negative effect was, however, more pronounced among those aged over 35 years, the less educated, and those employed on fixed-term contracts. Impacts on men's fertility intentions were generally negligible, but with a notable exception being Indigenous Australians.

Effect of lockdown on mental health in Australia: evidence from a natural experiment analysing a longitudinal probability sample survey.

BACKGROUND: Many studies have examined population mental health during the COVID-19 pandemic but have been unable to isolate the direct effect of lockdowns. The aim of this study was to examine changes in the mental health of Australians aged 15 years and older during the COVID-19 pandemic using a quasi-experimental design to disentangle the lockdown effect. METHODS: We analysed data from ten annual waves (2011-20) of the longitudinal Household, Income and Labour Dynamics in Australia (HILDA) Survey to identify changes in the mental health of respondents from the pre-COVID-19 period (2011-19) to the COVID-19 period (2020). Difference-in-differences models were used to compare these changes between respondents in the state of Victoria who were exposed to lockdown at the time of the 2020 interviews (treatment group) and respondents living elsewhere in Australia (who were living relatively free of restrictions; control group). The models included state, year (survey wave), and person-specific fixed effects. Mental health was assessed using the five-item Mental Health Inventory (MHI-5), which was included in the self-complete questionnaire administered during the survey. FINDINGS: The analysis sample comprised 151 583 observations obtained from 20 839 individuals from 2011 to 2020. The treatment group included 3568 individuals with a total of 37 578 observations (34 010 in the pre-COVID-19 and 3568 in the COVID-19 period), and the control group included 17 271 individuals with 114 005 observations (102 867 in the pre-COVID-19 and 11 138 in the COVID-19 period). Mean MHI-5 scores did not differ between the treatment group (72·9 points [95% CI 72·8-73·2]) and control group (73·2 points [73·1-73·3]) in the pre-COVID-19 period. In the COVID-19 period, decreased mean scores were seen in both the treatment group (69·6 points [69·0-70·2]) and control group (70·8 points [70·5-71·2]). Difference-in-differences estimation showed a small but statistically significant effect of lockdown on MHI-5 scores, with greater decline for residents of Victoria in 2020 than for those in the rest of Australia (difference -1·4 points [95% CI -1·7 to -1·2]). Stratified analyses showed that this lockdown effect was larger for females (-2·2 points [-2·6 to -1·7]) than for males (-0·6 [-0·8 to -0·5]), and even larger for women in couples with children younger than 15 years (-4·4 points [-5·0 to -3·8]), and for females who lived in flats or apartments (-4·1 points [-5·4 to -2·8]) or semi-detached houses, terraced houses, or townhouses (-4·8 points [-6·4 to -3·2]). INTERPRETATION: The imposition of lockdowns was associated with a modest negative change in overall population mental health. The results suggest that the mental health effects of lockdowns differ by population subgroups and for some might have exaggerated existing inequalities in mental health. Although lockdowns have been an important public health tool in suppressing community transmission of COVID-19, more research is needed into the potential psychosocial impacts of such interventions to inform their future use. FUNDING: US National Institutes of Health.

The effect of parental smoking on children's cognitive and non-cognitive skills.

Economic research emphasises the importance of cognitive and non-cognitive skills in children for long-term labour market, health and social outcomes. In contrast to previous studies that focus on the effects of maternal smoking during pregnancy, we contribute to the literature by examining whether parental current smoking impacts on children's cognitive and non-cognitive development. We exploit data from the Longitudinal Study of Australian Children and address potential endogeneity and self-selectivity bias using robust estimation methods. Overall, we find evidence that parental smoking results in worse development outcomes in children. Specifically, our fixed-effects estimates indicate that children living with parents who are smokers exhibit lower cognitive outcomes ranging between 0.09 and 0.17 standard deviation, while the impacts on non-cognitive outcomes range between 0.06 and 0.80 standard deviation. We also provide insights on some of the mechanisms of transmission. Our findings suggest that campaigns, programs and policies that reduce tobacco consumption may have positive externalities in terms of improving children's cognitive and non-cognitive development, and long-term labour market outcomes.

Does the COVID-19 lockdown improve global air quality? New cross-national evidence on its unintended consequences.

Despite a growing literature on the impacts of the COVID-19 pandemic, scant evidence currently exists on its impacts on air quality. We offer an early assessment with cross-national evidence on the causal impacts of COVID-19 on air pollution. We assemble a rich database consisting of daily, sub-national level data of air quality for 164 countries before and after the COVID-19 lockdowns and we analyze it using a Regression Discontinuity Design approach. We find the global concentration of NO2 and PM2.5 to decrease by 5 percent and 4 percent, respectively, using data-driven optimal bandwidth selection. These results are consistent across measures of air quality and data sources and robust to various model specifications and placebo tests. We also find that mobility restrictions following the lockdowns are a possible explanation for improved air quality.