A qualitative exploration of multi-stakeholder perspectives of before-school physical activity.

BACKGROUND: Engagement in before-school physical activity can potentially enhance health and learning-related outcomes for children and adolescents. However, influencing factors and stakeholder perceptions of before-school physical activity remain under-researched. This qualitative study aimed to examine stakeholder perceptions of: a) the suitability of the before-school segment for physical activity, b) barriers and facilitators associated with before-school physical activity, and c) strategies for schools to support before-school physical activity. METHODS: Twelve focus groups and one interview were conducted with 38 participants from a range of school stakeholder groups-students, parents, teachers, school leaders, external physical activity providers, and school health and physical activity experts. Focus groups were analysed using template analysis, guided by a social-ecological model. RESULTS: Stakeholders perceived before-school physical activity as valuable, for reasons including perceptions of meaningful contributions to students' cognitive functioning, classroom behaviours, and wellbeing. Factors influencing before-school physical activity were identified across multiple social-ecological levels, including the critical role of school leadership support, availability of facilities, and provision of qualified supervision. Proposed strategies highlighted the need for sustainable design, contextual relevance, and community engagement in before-school initiatives. Additionally, communication of the manifold benefits identified by stakeholders was suggested as a means to drive support and engagement in before-school physical activity. CONCLUSIONS: This study provides insight for schools seeking to enhance opportunities for physical activity in the before-school hours and may inform future intervention research on the subject, taking into account its multi-faceted influences and the need for context-specific strategies.

Multimorbidity and health-related quality of life amongst Indigenous Australians: A longitudinal analysis.

BACKGROUND: The burden of multimorbidity has been observed worldwide and it has significant consequences on health outcomes. In Australia, health-related quality of life (HRQoL) is comparatively low amongst Aboriginal and/or Torres Strait Islanders, yet no studies have examined the effect of multimorbidity on HRQoL within this at-risk population. This study seeks to fill that gap by employing a longitudinal research design. METHODS: Longitudinal data were derived from three waves (9, 13, and 17) of the household, income and labour dynamics in Australia (HILDA) Survey. A total of 1007 person-year observations from 592 Aboriginal and/or Torres Strait Islander individuals aged 15 years and above were included. HRQoL was captured using the 36-item Short-Form Health Survey (SF-36), and multimorbidity was defined using self-reports of having been diagnosed with two or more chronic health conditions. Symmetric fixed-effects linear regression models were used to assess how intraindividual changes in multimorbidity were associated with intraindividual changes in HRQoL. RESULTS: Approximately 21% of Indigenous Australians were classified as experiencing multimorbidity. Respondents had statistically significantly lower HRQoL on the SF-36 sub-scales, summary measures, and health-utility index in those observations in which they experienced multimorbidity. Among others, multimorbidity was associated with lower scores on the SF-36 physical-component scale (ß = - 6.527; Standard Error [SE] = 1.579), mental-component scale (ß = - 3.765; SE = 1.590) and short-form six-dimension utility index (ß = - 0.075; SE = 0.017). CONCLUSION: This study demonstrates that having multiple chronic conditions is statistically significantly associated with lower HRQoL amongst Indigenous Australians. These findings suggest that comprehensive and culturally sensitive health strategies addressing the complex needs of individuals with multimorbidity should be implemented to improve the HRQoL of Indigenous Australians.

Before-school physical activity levels and sociodemographic correlates among Australian adolescents: A cross-sectional study.

Understanding adolescents' physical activity levels and underpinning contextual factors is crucial for health promotion. This cross-sectional study, using 24-hour time use diaries and sociodemographic variables from the Longitudinal Study of Australian Children, addressed gaps in understanding of physical activity in the before-school segment (the time between waking up and commencing classes). The study examined a) adolescents' time spent in before-school physical activity, focusing on location and shared presence, and b) sociodemographic correlates of before-school physical activity. Completed diaries by 12-13 year-olds (n = 3,201) revealed that adolescents reported an average of 10.8 minutes of daily before-school physical activity (average segment length: 114 min), mostly classified as active transport (5.7 min). Most before-school physical activity occurred in a location other than home or school (6.1 min) and with peers (6.1 min). Notably, 51% of boys and 60% of girls did not report any before-school physical activity. Through two-part regression, we found that boys, adolescents from single-parent households, and those with longer before-school segments are more likely to report before-school physical activity compared to their counterparts. Before-school initiatives should promote active transport and diverse opportunities in other settings. Research into barriers and facilitators may inform more inclusive and effective promotion strategies, including school-based initiatives.

Depressive symptoms and social support among Australian men: A 7-year longitudinal study.

BACKGROUND: Mental health disorders are ranked globally as the single largest contributor to non-fatal ill-health. Social support can be a means of reducing and managing depression. However, depression can also impact on a person's level of social support. OBJECTIVE: As men typically have fewer sources of social support than females, this study investigated the bi-directional associations between depressive symptoms and perceived levels of social support among Australian males, aged 18-63. METHODS: Three waves of panel data from Ten to Men: The Australian Longitudinal Study on Male Health collected over 7 years (2013-2020) were used. A random intercept cross-lagged panel analysis with 5112 participants was undertaken. Mediating effects and indirect and total effects for lagged and cross-lagged pathways were also examined. RESULTS: Over time, greater social support was found to be associated with lower depression levels, and simultaneously greater levels of depression was found to be associated with lower levels of social support. Standardised cross-lagged effects between waves were mostly similar (ß = 0.10). However, mediation analyses identified that only the total effect size of the association for depression at wave 1 predicting social support at wave 3 (ß = -0.29) was significant. Mediated effects of social support at wave 1 predicting depression at wave 3 were not significant. LIMITATIONS: These include the number of years between each wave, and data were collected during the COVID pandemic. CONCLUSION: The study provides robust longitudinal evidence supporting the notion that social support and depression are both a cause and consequence of the other. However, the long-term effects of depression reducing social support were longer lasting than the effects of social support reducing depression.

Exposure to Inclusive Language and Well-Being at Work Among Transgender Employees in Australia, 2020.

Objectives. To provide empirical evidence of the positive effects of exposure to inclusive language on trans employees' well-being. Methods. We leveraged unique data from a large Australian national survey of workplace diversity and inclusion (2020 Australian Workplace Equality Index Employee Survey), focusing on a subset of trans respondents (n = 453). We derived self-reported and aggregate-level measures of exposure to trans-inclusive language and created a multidimensional index of employee well-being. We examined their relationships using fully adjusted random-intercept multilevel regression models. Results. We found strong, positive, and statistically significant associations between different indicators of exposure to inclusive language at work and trans employees' well-being. These relationships were large in magnitude and emerged in the presence of an encompassing set of sociodemographic and workplace controls, including other markers of workplace diversity and inclusion (e.g., victimization experiences and identity disclosure). Conclusions. Our results provide robust evidence indicating that efforts to foster inclusive language at work can yield substantial, positive effects on trans people's feelings of belonging and inclusion, thereby contributing to their overall socioeconomic integration. (Am J Public Health. 2022;112(3):482-490. https://doi.org/10.2105/AJPH.2021.306602).

Improving the wellbeing of LGBTQ+ employees: Do workplace diversity training and ally networks make a difference?

Despite growing recognition that lesbian, gay, bisexual, trans, queer, and other minority (LGBTQ+) employees have lower levels of workplace wellbeing than cis-gender heterosexual employees, few studies have examined how different workplace interventions may mitigate these disparities. This study provides first-time evidence of associations between LGBTQ+ employee wellbeing and two types of initiatives that have received substantial public attention and employer uptake: workplace gender and sexuality diversity training and ally (or employee) networks. To accomplish this, the analyses leverage Australian data from a unique, national employer-employee survey of workplace inclusion (2020 Australian Workplace Equality Index Employee Survey; n = 31,277). These data were used to derive individual- as well as organizational-level measures of diversity training and ally behaviors, and to estimate their associations with a multidimensional index of LGBTQ+ employee wellbeing using fully adjusted random-intercept multilevel regression models. The results indicated that all individual- and organizational-level measures of workplace diversity training and ally behaviors exhibited positive, large, and statistically significant associations with the LGBTQ+ employee wellbeing index, controlling for an extensive set of confounds and organization-specific random effects. These findings have significant implications for health policy and practice. Specifically, they indicate that diversity training and ally networks may improve wellbeing amongst LGBTQ+ employees. This suggests that employer investments in diversity training and ally networks are effective interventions to enhance workplace culture, employee productivity and intergroup relations.

Estimating the effects of physical violence and serious injury on health-related quality of life: Evidence from 19 waves of the Household, Income and Labour Dynamics in Australia Survey.

OBJECTIVE: This study aims to investigate the effect of physical violence and serious injury on health-related quality of life in the Australian adult population. METHODS: This study utilised panel data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. HRQoL was measured through the physical component summary (PCS), mental component summary (MCS), and short-form six-dimension utility index (SF-6D) of the 36-item Short-Form Health Survey (SF-36). Longitudinal fixed-effect regression models were fitted using 19 waves of the HILDA Survey spanning from 2002 to 2020. RESULTS: This study found a negative effect of physical violence and serious injury on health-related quality of life. More specifically, Australian adults exposed to physical violence and serious injury exhibited lower levels of health-related quality of life. Who experienced physical violence only had lower MCS (ß = -2.786, 95% CI: -3.091, -2.481) and SF-6D (ß = -0.0214, 95% CI: -0.0248, -0.0181) scores if switches from not experiencing physical violence and serious injury. Exposed to serious injury had lower PCS (ß = -5.103, 95% CI: -5.203, -5.004), MCS (ß = -2.363, 95% CI: -2.480, -2.247), and SF-6D (ß = -0.0585, 95% CI: -0.0598, -0.0572) score if the adults not experiencing physical violence and serious injury. Further, individuals exposed to both violence and injury had substantially lower PCS (ß = -3.60, 95% CI: -4.086, -3.114), MCS (ß = -6.027, 95% CI: -6.596, -5.459), and SF-6D (ß = -0.0716, 95% CI: -0.0779, -0.0652) scores relative to when the individuals exposed to none. CONCLUSION: Our findings indicate that interventions to improve Australian adults' quality of life should pay particular attention to those who have experienced physical violence and serious injury. Our findings suggest unmet mental health needs for victims of physical violence and serious injuries, which calls for proactive policy interventions that provide psychological and emotional therapy.

Traditionalism vs egalitarianism: Is there an association between gender attitudes and mental health?

OBJECTIVE: This study sought to assess the extent to which gender attitudes are associated with mental health among Australian men and women. METHODS: This study used a sample of 26,188 individuals drawn from five waves of the Household, Income and Labour Dynamics in Australia Survey. Gender attitudes were classified into three groups (traditional, moderate-egalitarian and egalitarian), and were constructed from six items. Mental health was measured using the Mental Health Inventory (MHI-5). We calculated the magnitude of associations between gender attitudes and mental health, stratified by gender, and adjusted for potential confounding. RESULTS: Compared to men with egalitarian attitudes, poorer mental health was observed among men with moderate-egalitarian (-1.16, 95% confidence interval = [-1.84, -0.49]) and traditional gender attitudes (-2.57, 95% confidence interval = [-3.33, -1.81]). Among women, poorer mental health was observed among those with moderate-egalitarian (-0.78, 95% confidence interval = [-1.34, -0.22]) and traditional attitudes (-1.91, 95% confidence interval = [-2.55, -1.26]) compared to those with egalitarian attitudes. CONCLUSIONS: For both men and women, egalitarian gender attitudes were associated with better mental health.

Continuity or change? How the onset of COVID-19 affected internal migration in Australia.

Despite anecdotal evidence of a COVID-19 induced decline in the intensity of interstate migration in Australia, population-level evidence is limited. The recent release of the 2020 wave of the Household, Income and Labour Dynamics in Australia (HILDA) Survey provides a unique opportunity to robustly assess the effect of the COVID-19 pandemic on the level, direction, determinants, and reasons for migration in Australia. By applying a series of regression models to individual-level longitudinal microdata, and measuring migration at a range of spatial scales, this paper shows that COVID-19 has somewhat accelerated the long-term decline in the intensity of internal migration-particularly for residential mobility, short-distance migration, and migration due to employment and involuntary reasons. The socio-demographic determinants of migration have remained broadly stable, despite a slight increase in the deterring effect of duration of residence and a reduction in the impact of education. Finally, we show that the increase in net migration gains in regional areas is underpinned by a decrease in outflows. Juxtaposing these results with aggregate-level migration statistics from the Australian Bureau of Statistics from 2021, we conclude that the effect of COVID-19 on internal migration to date has been minimal and is likely to be short-lived. However, it may still be too soon to make a definitive judgement, as shifts in work patterns stemming from the pandemic may further transform the level, direction, and composition of internal migration.

Prevalence and Sociodemographic Correlates of Identifying as Mainly Heterosexual: Stability and Change across Three Cohorts of Australian Women.

In recent decades, the ways in which sexual minorities identify have changed dramatically. In response, social and health surveys have begun offering a greater range of response options within sexual orientation questions-for example, intermediate categories for "mainly heterosexual" and "mainly lesbian/gay" alongside the more common response options of "heterosexual," "bisexual," and "lesbian/gay." Recent studies indicate that women who identify as "mainly heterosexual" report poorer health, greater health-risk behaviors, and higher rates of victimization than women identifying as "exclusively heterosexual." However, we know very little about the demographic profile of women who choose the "mainly heterosexual" identity label compared to the adjacent "exclusively heterosexual" or "bisexual" labels or about changes over time in the prevalence and correlates of "mainly heterosexual" identification. This study addressed these knowledge gaps by modeling unique, high-quality survey data from three national cohorts of Australian women (Australian Longitudinal Study on Women's Health, 2000-2017, n = 76,930 observations). Consistent with the facilitative environments model, we document stark cross-cohort increases in the percentage of Australian women identifying as "mainly heterosexual"-from ∼1% of those born in 1946-1951 to ∼26% of those born in 1989-1995, coinciding with comparable declines in the percentage of women identifying as "exclusively heterosexual." We also found evidence of cohort differences in the associations between key sociodemographic factors-such as age, education, and socioeconomic status-and the likelihood of women identifying as "mainly heterosexual." Finally, our results indicate that same-sex sexual attractions were more strongly associated with "mainly heterosexual" identification than was same-sex sexual behavior.

Academic Achievement of Children in Same- and Different-Sex-Parented Families: A Population-Level Analysis of Linked Administrative Data From the Netherlands.

Although numerous studies have examined how children raised in same-sex-parented families fare relative to children in different-sex-parented families, this body of work suffers from major methodological shortcomings. By leveraging linked administrative data from several population registers from the Netherlands covering the 2006-2018 period (n = 1,454,577), we overcome most methodological limitations affecting earlier research. The unique features of the data include complete population coverage, reliable identification of same-sex-parented families, a large number of children in same-sex-parented families (n = 3,006), multiple objective and verifiable educational outcomes, and detailed measures of family dynamics over children's entire life courses. The results indicate that children in same-sex-parented families outperform children in different-sex-parented families on multiple indicators of academic performance, including standardized tests scores, high school graduation rates, and college enrollment. Such advantages extend to both male and female children, and are more pronounced among children in female than male same-sex-parented families. These findings challenge deficit models of same-sex parenting.

Approximate Bayesian inference for multivariate point pattern analysis in disease mapping.

We present a novel approach for analysing multivariate case-control georeferenced data in a Bayesian disease mapping context using stochastic partial differential equations (SPDEs) and the integrated nested Laplace approximation (INLA) for model fitting. In particular, we propose smooth terms based on SPDE models to estimate the underlying spatial variation as well as risk associated to pollution sources. Log-Gaussian Cox processes are used to estimate the intensity of the cases and controls, to account for risk factors and include a term to measure spatial residual variation. Each intensity is modelled on a baseline spatial effect (estimated from both controls and cases), a disease-specific spatial term and the effects of some covariates. By fitting these models, the residual spatial terms can be easily compared to detect high-risk areas not explained by the covariates. Three different types of effects to model exposure to pollution sources are considered on the distance to the source: a fixed effect, a smooth term to model non-linear effects by means of a discrete random walk of order one and a Gaussian process in one dimension with a Matérn covariance function. Spatial terms are modelled using a Gaussian process in two dimensions with a Matérn covariance function and are approximated using an approach based on solving an SPDE through INLA. Finally, this new framework is applied to a dataset of three different types of cancer and a set of controls from Alcalá de Henares (Madrid, Spain). Covariates available include the distance to several polluting industries and socioeconomic indicators. Our findings point to a possible risk increase due to the proximity to some of these industries.

Mothers, fathers and the intergenerational transmission of gender ideology.

Traditional gender beliefs play an important role in (re-)producing gender inequalities, and trends towards gender egalitarianism have stalled. As such, identifying factors that contribute to individuals upholding traditional versus egalitarian gender attitudes is an important scholarly endeavour. While previous studies have identified critical predictors-such as religion, education and parenthood-intergenerational influences have received comparatively little empirical attention. Drawing upon gender-socialization theory, we derive hypotheses about how parental attitudes towards gender are transmitted to their children, considering differences between mothers' and fathers' influences, parental (dis)agreement in attitudes, and moderation by child's gender. We test these hypotheses using high-quality data from a national sample of Australian 14/15-year-old adolescents (Longitudinal Study of Australian Children, n = 1806). We find substantial intergenerational associations in gender ideology. Paternal and maternal attitudes exert a similar degree of influence on their children's attitudes, and have complementary rather than cumulative effects. While fathers' attitudes influence sons' and daughters' attitudes equally, mothers' attitudes influence daughters' attitudes more than sons'.

Sexual Minority Women in Longitudinal Survey Research: Is Attrition a Problem?

As more longitudinal surveys collect information on sexual orientation, evaluating the quality of these data and understanding how sexual minorities engage with the survey process are increasingly important endeavors. This study constitutes the first systematic analysis of sexual orientation as a predictor of attrition from longitudinal surveys. Drawing upon the minority stress model, we developed testable hypotheses about how sexual identity and sexual identity change relate to panel attrition. These hypotheses were subsequently tested using data from two national cohorts of Australian women from the Australian Longitudinal Study on Women's Health (one born 1973-1978, n = 11,262, and one born 1989-1995, n = 16,689). In the older cohort, sexual minority women were more likely to attrit from the survey than exclusively heterosexual women-largely due to noncontact rather than noncooperation. The associations faded once sociodemographic and health-related covariates were included in the models. Further, higher rates of noncontact were observed among women who changed their sexual identity in a more same-sex-oriented direction, compared to women with a stable sexual identity. None of these associations were apparent in the younger cohort. Taken together, our results suggest that sexual minority status may be a risk factor for panel attrition among older but not younger cohorts of women and that improved efforts to locate and contact participants who are generally vulnerable could increase the retention of sexual minorities in longitudinal studies. Effect sizes were nevertheless small, suggesting that existing research on sexual orientation using longitudinal surveys is unlikely to be biased by non-random attrition of non-heterosexual individuals.

Sexual Orientation and Adolescent Time Use: How Sexual Minority Youth Spend Their Time.

This study combines minority stress and ecological perspectives to theorize the associations between adolescents' sexual orientation and time use. Hypotheses are tested using data from a national sample of Australian adolescents aged 14-15 years (Longitudinal Study of Australian Children; n = 3,060). Compared to heterosexual adolescents, sexual minority adolescents spent less time with their siblings and fathers, more time alone, less time in active leisure- and school-based activities, and more time in nonactive leisure. There were no differences between sexual minority and heterosexual adolescents in time spent with mothers, peers, and in screen-based leisure. Some associations were gendered. Collectively, the results suggest that sexual minority adolescents may withdraw or be excluded from critical developmental activities and the company of key social partners.

Mental-health disparities between heterosexual and sexual-minority adolescents: Examining the role of informant discrepancies.

INTRODUCTION: An emerging literature documents substantial mental-health disparities by sexual orientation amongst adolescents, with sexual-minority youth exhibiting poorer mental health than heterosexual youth. This brief report provides the first empirical account of how the association between sexual-minority status and adolescent mental health differs depending on who assesses adolescents' mental health (child/mother/father/teacher), and how informant discrepancies in assessments of adolescent mental health differ by adolescents' sexual orientation. METHODS: Data come from an Australian national sample of 14-/15-year-old adolescents (Longitudinal Study of Australian Children; n~3,000). Adolescent mental health is measured using multiple measures from the Strengths and Difficulties Questionnaire, and modelled using multivariable linear regression models. RESULTS: Mental-health disparities between sexual-minority and heterosexual adolescents emerged irrespective of who assessed the child's mental health. However, their magnitude varied substantially by informant, being largest when mental-health was reported by adolescents (~0.7 standard deviations) and smallest when reported by teachers (~0.2 standard deviations). Discrepancies between mental-health scores collected from the child and other informants were largest for internalising than externalising behaviours, and in child-father than child-mother comparisons. CONCLUSIONS: Understanding informant discrepancies and their meaning is pivotal to designing surveys that generate robust insights into the health of sexual-minority adolescents, as well as appropriate policy interventions.

Using a Social Robot to Evaluate Facial Expressions in the Wild.

In this work an affective computing approach is used to study the human-robot interaction using a social robot to validate facial expressions in the wild. Our global goal is to evaluate that a social robot can be used to interact in a convincing manner with human users to recognize their potential emotions through facial expressions, contextual cues and bio-signals. In particular, this work is focused on analyzing facial expression. A social robot is used to validate a pre-trained convolutional neural network (CNN) which recognizes facial expressions. Facial expression recognition plays an important role in recognizing and understanding human emotion by robots. Robots equipped with expression recognition capabilities can also be a useful tool to get feedback from the users. The designed experiment allows evaluating a trained neural network in facial expressions using a social robot in a real environment. In this paper a comparison between the CNN accuracy and human experts is performed, in addition to analyze the interaction, attention and difficulty to perform a particular expression by 29 non-expert users. In the experiment, the robot leads the users to perform different facial expressions in motivating and entertaining way. At the end of the experiment, the users are quizzed about their experience with the robot. Finally, a set of experts and the CNN classify the expressions. The obtained results allow affirming that the use of social robot is an adequate interaction paradigm for the evaluation on facial expression.

Prediction of Human Activities Based on a New Structure of Skeleton Features and Deep Learning Model.

The recognition of human activities is usually considered to be a simple procedure. Problems occur in complex scenes involving high speeds. Activity prediction using Artificial Intelligence (AI) by numerical analysis has attracted the attention of several researchers. Human activities are an important challenge in various fields. There are many great applications in this area, including smart homes, assistive robotics, human-computer interactions, and improvements in protection in several areas such as security, transport, education, and medicine through the control of falling or aiding in medication consumption for elderly people. The advanced enhancement and success of deep learning techniques in various computer vision applications encourage the use of these methods in video processing. The human presentation is an important challenge in the analysis of human behavior through activity. A person in a video sequence can be described by their motion, skeleton, and/or spatial characteristics. In this paper, we present a novel approach to human activity recognition from videos using the Recurrent Neural Network (RNN) for activity classification and the Convolutional Neural Network (CNN) with a new structure of the human skeleton to carry out feature presentation. The aims of this work are to improve the human presentation through the collection of different features and the exploitation of the new RNN structure for activities. The performance of the proposed approach is evaluated by the RGB-D sensor dataset CAD-60. The experimental results show the performance of the proposed approach through the average error rate obtained (4.5%).

"Making it work: Migration, motherhood and employment in Australia".

The transition into motherhood is often associated with a reduction in women's labor force participation, reinforcing gender employment hierarchies. Our study compares women's employment status and paid work time prior to and following birth among immigrants and native-borns in Australia. We also consider how these outcomes differ by generation status and racial and ethnic background. Australia provides a valuable context to understand these outcomes given its skilled migration policy, racial and ethnic diversity, limited childcare and family leave policies, and high rates of part-time work among mothers. We examine longitudinal data from the Household Income and Labour Dynamics in Australia (HILDA) for women from 2001 to 2016. We find that migrant women show lower employment levels and commensurate work hours than native-borns prior to childbirth. After childbirth, migrant mothers maintain lower employment levels, but higher work hours than native-born mothers. Overall, we find that relative to native-borns, migrant women typically experience a smaller reduction in employment and work hours following childbirth, but some of this is likely due to their lower starting position prior to childbirth. Our findings have implications for skilled immigration policies and highlights the unique work-family pressures facing immigrant and native-born women.

Joint physical-activity/screen-time trajectories during early childhood: socio-demographic predictors and consequences on health-related quality-of-life and socio-emotional outcomes.

BACKGROUND: Understanding the early roots of physical activity and sedentary behaviors is critical to developing intervention programs that promote healthy lifestyle habits in infants and children. There is, however, no evidence on how these behaviors cluster and develop together during early childhood. The aim of this study was to identify single and joint longitudinal trajectories in physical activity and screen time amongst children aged 0 to 9 years, their social-demographic predictors and their prospective health-related quality-of-life and socio-emotional outcomes. METHODS: Three waves of data from The Longitudinal Study of Australian Children, a national study tracking two cohorts every 2 years (B-cohort, 0-5 years, n = 4,164; K-cohort, 4-9 years, n = 3,974) were analysed. Growth mixture modelling was applied to longitudinal time-use diary data to identify joint trajectories in children's physical activity and screen time over Waves 1-3. Key socio-demographic variables measured at Wave 1 were used to predict membership in different trajectories. The prospective consequences (at Wave 3) of time-use trajectories on health-related quality-of-life and socio-emotional outcomes were assessed. RESULTS: Three physical-activity/screen-time trajectories were identified for both cohorts: Cluster-A-children who maintained low levels of physical activity and screen time (∽50% of the sample), Cluster-B-children who progressively increased physical activity and maintained low screen-time levels (∽25%), and Cluster-C-children who maintained low physical-activity levels and increased screen time (∽25%). Children in Cluster-B experienced the best health-related quality-of-life and socio-emotional outcomes, while those in Cluster-C experienced the worst. Children who were female, Indigenous, from non-English-speaking backgrounds, not living with two biological parents, in more affluent households and neighbourhoods, without siblings and with parents with poor mental health were at greater risk of falling into Cluster-A or Cluster-C. CONCLUSION: Our findings identified which children are most at-risk of falling into time-use trajectories that lead to poor health-related quality-of-life and socio-emotional outcomes later in life, increasing our ability to monitor, detect and prevent these suboptimal behaviours prior to their onset.