scholarly journals Rural and urban variation in psychological distress among adults: results of the 2014–2015 Eastern Townships Population Health Survey (ETPHS)

Author(s):  
Sadaf Matiullah ◽  
Mélissa Généreux ◽  
Geneviève Petit
2008 ◽  
Vol 15 (3) ◽  
pp. 146-152 ◽  
Author(s):  
S Ghosh ◽  
P Pahwa ◽  
D Rennie ◽  
HH McDuffie

BACKGROUND: The prevalence of asthma is on the rise worldwide, with large variations in prevalence existing between and within countries. Little is known regarding the variation in asthma prevalence in adults living in rural and urban settings.OBJECTIVES: Using questionnaire data from the Canadian National Population Health Survey, the prevalence of asthma at four time periods (1994/1995 [cycle 1], 1996/1997 [cycle 2], 1998/1999 [cycle 3] and 2000/2001 [cycle 4]) was compared between rural and urban populations stratified by sex, smoking status and age group. Asthma was defined as a positive response to the question: “Do you have asthma diagnosed by a health professional?”METHODS: To account for the complexity of the survey design, the bootstrap method was used to calculate prevalences and 95% CIs.RESULTS: Overall, the prevalence of asthma increased from 7.3% (cycle 1) to 7.5% (cycle 4). After stratifying by sex, the asthma prevalence decreased among men, but in women, there was a steady increase. Asthma prevalence increased for both the rural population and the urban population. After stratifying each cycle by sex and location (rural or urban), both rural and urban men showed a decrease in asthma prevalence. On dividing according to age groups (0 to 14 years, 15 to 34 years, 35 to 64 years, and 65 years and older), the prevalence of asthma was greatest in the 15- to 34-year age group of urban and rural women.CONCLUSIONS: Asthma prevalence increased among rural and urban women. The prevalence of asthma was highest among female smokers and male nonsmokers when stratified by smoking status. Based on these findings, the rate of increase in asthma prevalence is different for men and women.


2020 ◽  
pp. 000486742097686
Author(s):  
Anthony F Jorm ◽  
Betty A Kitchener

Background: Mental disorders often have their first onset during youth, which justifies targeting treatment services at this age group. Australia has had a substantial increase in youth mental health services since the introduction of the Medicare Better Access scheme and headspace services in 2006–2007. This paper examines trends in the mental health of Australian youth before and after this time using available national and state datasets. Methods: The following data were examined for age groups available in the age range of 12–25 years: use of mental health services per 100,000 population provided under Medicare by GPs, psychiatrists, clinical psychologists, other psychologists and allied health professionals; per capita accessing of headspace services; and prevalence of high and very high psychological distress (using the K10) in youth age groups in the National Health Survey, the Victorian Population Health Survey and the New South Wales Population Health Survey between 2001 and 2018. Results: There has been a large increase in use of mental health services since the introduction of Better Access and headspace. No significant improvement in youth mental health was evident following the introduction of these schemes. Rather, there appeared to be a worsening of youth mental health from around 2015 onwards. Conclusion: Despite a large increase in the provision of mental health services to Australian youth, there has not been a detectable reduction in the prevalence of psychological distress. There may be other factors that have worsened youth mental health in recent years.


2006 ◽  
Vol 30 (4) ◽  
pp. 485 ◽  
Author(s):  
Elizabeth J Comino ◽  
Oshana Hermiz ◽  
Jeff Flack ◽  
Elizabeth Harris ◽  
Gawaine Powell Davies ◽  
...  

Objective: Currently, primary health care (PHC) is under-represented in health statistics due to the lack of a comprehensive PHC data collection. This research explores the utility of population health surveys to address questions relating to access to and use of PHC, using diabetes as an example. Methods: Drawing on published material relating to diabetes management, we developed a conceptual framework of access to and use of quality PHC. Using this framework we examined three recent population-based health surveys ? the 2001 National Health Survey, 2002?03 NSW Health Survey, and AusDiab ? to identify relevant information collection. Results: We identified seven domains comprising aspects of quality PHC for people with diabetes. For each domain we proposed associated indicators. In critiquing the three population health surveys in relation to these indicators, we identified strengths and weaknesses of the data collections. Conclusion: This approach could inform the development of questions and extension of population health surveys to provide a better understanding of access to and use of quality PHC in Australia. The additional information would complement other data collections with a communitybased perspective and contribute to the develop- ment of PHC policy.


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.


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