Institutional factors associated with hospital partnerships for population health

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Katy Ellis Hilts ◽  
P. Joseph Gibson ◽  
Justin Blackburn ◽  
Valerie A. Yeager ◽  
Paul K. Halverson ◽  
...  
2020 ◽  
Vol 23 (11) ◽  
pp. 1857-1867
Author(s):  
Paraskevi Drakoulidou ◽  
Bradley Drayton ◽  
Leah Shepherd ◽  
Seema Mihrshahi

AbstractObjective:To determine the prevalence and sociodemographic factors associated with food insecurity in the state of New South Wales (NSW), Australia.Design:Cross-sectional analysis of food insecurity data collected by the NSW Population Health Survey between 2003 and 2014. Multiple logistic regression was used to examine associations with key sociodemographic variables.Setting:NSW, Australia.Participants:212 608 survey participants responded to the food insecurity survey question between 2003 and 2014. 150 767 of them were aged ≥16 years. The survey sample was randomly selected and weighted to be representative of the NSW population.Results:On average 6 % of adults aged ≥16 years experienced food insecurity in NSW. The odds of food insecurity appeared to increase from one survey year to the next by a factor of 1·05. Food insecurity was found to be independently associated with age, sex, marital status, household size, education, employment status, household income, smoking status, alcohol intake and self-rated health. The association with income, smoking status and self-rated health appeared to be the strongest among all covariates and showed a gradient effect. Food insecurity appeared to increase significantly between the age of 16 and 19 years.Conclusions:The prevalence of food insecurity appears to be rising over time. Given the negative health consequences of food insecurity, more rigorous measurement and monitoring of food insecurity in NSW and nationally is strongly recommended. The findings provide support for interventions targeting low-income and younger population groups.


2019 ◽  
Vol 11 (8) ◽  
pp. 767-773
Author(s):  
David R. Steeb ◽  
Benjamin Y. Urick ◽  
Betsy L. Sleath ◽  
Pamela U. Joyner

2006 ◽  
Vol 83 (2) ◽  
pp. 96-101 ◽  
Author(s):  
ANDREAS M??LLER ◽  
ECOSSE LAMOUREUX ◽  
CHRIS BULLEN ◽  
JILL ELIZABETH KEEFFE

2017 ◽  
Vol 23 (3) ◽  
pp. 249 ◽  
Author(s):  
Sue Kleve ◽  
Zoe E. Davidson ◽  
Emma Gearon ◽  
Sue Booth ◽  
Claire Palermo

Food insecurity affects health and wellbeing. Little is known about the relationship between food insecurity across income levels. This study aims to investigate the prevalence and frequency of food insecurity in low-to-middle-income Victorian households over time and identify factors associated with food insecurity in these households. Prevalence and frequency of food insecurity was analysed across household income levels using data from the cross-sectional 2006–09 Victorian Population Health Surveys (VPHS). Respondents were categorised as food insecure, if in the last 12 months they had run out of food and were unable to afford to buy more. Multivariable logistic regression was used to describe factors associated with food insecurity in low-to-middle-income households (A$40000–$80000 in 2008). Between 4.9 and 5.5% for total survey populations and 3.9–4.8% in low-to-middle-income respondents were food insecure. Food insecurity was associated with limited help from friends, home ownership status, inability to raise money in an emergency and cost of some foods. Food insecurity exists in households beyond those on a very low income. Understanding the extent and implications of household food insecurity across all income groups in Australia will inform effective and appropriate public health responses.


2019 ◽  
Vol 32 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Naomi N. Duke ◽  
Amy Gross ◽  
Antoinette Moran ◽  
Jill Hodsdon ◽  
Nadir Demirel ◽  
...  

Crisis ◽  
2015 ◽  
Vol 36 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Heidi Hales ◽  
Amanda Edmondson ◽  
Sophie Davison ◽  
Barbara Maughan ◽  
Pamela J. Taylor

Background: Prison suicide rates are high, and suicide-related behaviors (SRBs) higher, but effects of contact with such behaviors in prison have not previously been examined. Aims: To compare the mental state of young men witnessing a peer’s suicide-related behavior in prison with that of men without such experience, and to test for factors associated with morbidity. Method: Forty-six male prisoners (age 16–21 years) reporting contact with another’s suicide-related behavior in prison were interviewed 6 months after the incident, with validated questionnaires, as were 44 without such contact at least 6 months into their imprisonment. Results: Significantly higher levels of psychiatric morbidity and own suicide-related behaviors were found in the witness group, even after controlling for their higher levels of family mental illness and pre-exposure experience of in-prison bullying. Some personal factors were associated with higher morbidity; incident and institutional factors were not. Conclusions: Findings of heightened vulnerabilities among young men exposed to suicide-related behaviors in prison suggest a need for longitudinal study to clarify temporal relationships and inform strategies to prevent or limit development of morbidity and further harm.


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