Correction: Causal knowledge promotes behavioral self-regulation: An example using climate change dynamics.

[This corrects the article DOI: 10.1371/journal.pone.

A needs-based workforce model to deliver tertiary-level community mental health care for distressed infants, children, and adolescents in South Australia: a mixed-methods study.

Background: High-quality mental health services for infants, children, adolescents, and their families can improve outcomes for children exposed to early trauma. We sought to estimate the workforce needed to deliver tertiary-level community mental health care to all infants, children, adolescents, and their families in need using a generalisable model, applied to South Australia (SA).

Methods: Workforce estimates were determined using a workforce planning model.

Causal knowledge promotes behavioral self-regulation: An example using climate change dynamics.

Adopting successful climate change mitigation policies requires the public to choose how to balance the sometimes competing goals of managing CO2 emissions and achieving economic growth. It follows that collective action on climate change depends on members of the public to be knowledgeable of the causes and economic ramifications of climate change. The existing literature, however, shows that people often struggle to correctly reason about the fundamental accumulation dynamics that drive climate change.

What is the current level of mental health service delivery and expenditure on infants, children, adolescents, and young people in Australia?

Objectives: The study aim was to estimate the current level of ambulatory mental health service delivery to young people aged 0-24 years in Australia and associated government expenditure. Recognising the importance of the early years for the development of mental illness and socioeconomic outcomes, we were particularly interested in service access by infants and young children.

Methods: We extracted information from government administrative datasets on the number of people who received mental health services, number of services and expenditure through the health sector for 2014-2015.

Developing a broad categorisation scheme to describe risk factors for mental illness, for use in prevention policy and planning.

Objectives: The prevention of mental illness involves identifying and modifying those characteristics and exposures of an individual that threaten their mental health - commonly referred to as risk factors. Existing categorisations of risk factors for mental illness are either limited in their scope or oversimplified in their description. As part of a large mental health workforce and service planning project, we set out to develop a more detailed and comprehensive categorisation scheme to describe risk factors for mental illness.

How many children in Australia are at risk of adult mental illness?

Objective: To estimate the prevalence of children in the Australian population with risk factors for adult mental illness.

Method: Key risk factors and risk domains were identified from a 2013 review of longitudinal studies on child and adolescent determinants of adult mental illness. Data items were identified from the Longitudinal Study of Australian Children that map onto the risk domains and were used to estimate the prevalence of these key individual risk factors and the magnitude of multiple risk in children aged 3 months to 13 years.

Is there a relationship between overweight and obesity and mental health problems in 4- to 5-year-old Australian children?

Objective: To investigate the relationship between overweight and obesity, and mental health problems in Australian 4- to 5-year-old children.

Methods: The study used data from wave 1 (2004) of the Longitudinal Study of Australian Children (LSAC). The participants were 4983 4- to 5-year-old children (2537 boys and 2446 girls) with a mean age of 56.