scholarly journals Using the risk behaviour diagnosis scale to understand Australian Aboriginal smoking — A cross-sectional validation survey in regional New South Wales

2015 ◽  
Vol 2 ◽  
pp. 4-9 ◽  
Author(s):  
Gillian Sandra Gould ◽  
Kerrianne Watt ◽  
Yvonne Cadet-James ◽  
Alan R. Clough
Keyword(s):  
New South ◽  
New South Wales ◽  
Risk Behaviour ◽  
Cross Sectional ◽  
Australian Aboriginal ◽  
South Wales

Hiv Risk Behaviour of Idus Before, During and After Imprisonment in New South Wales

1996 ◽  
Vol 4 (2) ◽  
pp. 151-160 ◽  
Author(s):  
Kate Dolan ◽  
Alex Wodak ◽  
Wayne Hall ◽  
Matt Gaughwin ◽  
Fiona Rae
Keyword(s):  
Hiv Risk ◽  
New South ◽  
New South Wales ◽  
Risk Behaviour ◽  
South Wales

scholarly journals Screen-time, obesity, ageing and disability: findings from 91 266 participants in the 45 and Up Study

2010 ◽  
Vol 14 (1) ◽  
pp. 34-43 ◽  
Author(s):  
Emily Banks ◽  
Louisa Jorm ◽  
Kris Rogers ◽  
Mark Clements ◽  
Adrian Bauman
Keyword(s):  
Physical Activity ◽  
Screen Time ◽  
Vegetable Consumption ◽  
New South ◽  
New South Wales ◽  
Full Time ◽  
Obesity Prevalence ◽  
Cross Sectional ◽  
South Wales ◽  
The Relationship

AbstractObjectiveTo assess the relationship between obesity and sedentary behaviours, such as watching television or using a computer (‘screen-time’), and describe how this relationship varies between population subgroups.DesignCross-sectional analysis of the relationship between obesity (BMI ≥ 30 kg/m2) and screen-time, adjusted for age, sex, income and education and compared according to a range of personal characteristics.SettingNew South Wales, Australia.SubjectsA total of 91 266 men and women aged 45 years and above from the general population of New South Wales in 2006–2007 and providing self-reported information on height and weight and other factors.ResultsObesity prevalence was 21·4 %. Compared to individuals with <2 h of daily screen-time, the adjusted relative risks (RR) of obesity were 1·35 (95 % CI 1·26, 1·44), 1·70 (95 % CI 1·59, 1·82), 1·94 (95 % CI 1·81, 2·08) and 1·92 (95 % CI 1·80, 2·06) for 2–3, 4–5, 6–7 and ≥8 h, respectively. The increase in obesity with increasing screen-time was similar within categories of overall physical activity, but was attenuated in those in full-time paid work, compared to non-workers (P for interaction < 0·0001). Among non-workers, the overall obesity RR per 2 h increase in daily screen-time was 1·23 (95 % CI 1·21, 1·25) and was significantly elevated in all groups examined, ranging from 1·16 to 1·31 according to sex, level of age, education, income, smoking and fruit consumption. The RR did not differ significantly according to overall physical activity, region of residence and alcohol and vegetable consumption, but was substantially lower in disabled v. not-disabled individuals (P for interaction < 0·0001).ConclusionsObesity increases with increasing screen-time, independent of purposeful physical activity. This was observed in all population groups examined, although it is attenuated in full-time workers and disabled individuals.

scholarly journals A cross-sectional study of correlates of imprisonment in opioid-dependent men and women in New South Wales, Australia

2015 ◽  
Vol 35 (6) ◽  
pp. 686-692 ◽  
Author(s):  
Sarah Larney ◽  
Elena Cama ◽  
Elliot Nelson ◽  
Briony Larance ◽  
Louisa Degenhardt
Keyword(s):  
New South ◽  
New South Wales ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
South Wales

scholarly journals Comparing the Caries Prevalence between Indigenous and Non-Indigenous Children in Remote New South Wales, Australia: A Cross Sectional Study

2018 ◽  
pp. 1-9
Keyword(s):  
New South ◽  
New South Wales ◽  
Cross Sectional Study ◽  
Parental Consent ◽  
Caries Prevalence ◽  
Cross Sectional ◽  
Remote Areas ◽  
South Wales ◽  
Indigenous Children ◽  
Aboriginal Children

Objective: To compare the caries prevalence between Indigenous and non-Indigenous children two to five years of age. Methods: A sample of young Aboriginal and non-Aboriginal children from remote New South Wales Australia was recruited. Children with parental consent participated in dental examinations which were undertaken by one calibrated examiner who recorded the decayed, missing and filled teeth/surfaces. Results: 268 children were examined. The decayed missing and filled teeth scores were significantly higher for Aboriginal children (p =<0.01). Most Aboriginal Children examined had decayed teeth (n= 55, 52.4%) unlike non-Aboriginal participants (n = 27, 16.6%). Conclusion: Aboriginal children in remote areas of New South Wales have a significantly higher prevalence of dental caries when compared with their non-Aboriginal peers.

Comparing health status, disability, and access to care in older and younger inmates in the New South Wales corrections system

2019 ◽  
Vol 15 (2) ◽  
pp. 153-161
Author(s):  
Courtney Field ◽  
Vicki Archer
Keyword(s):  
Access To Care ◽  
New South ◽  
New South Wales ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Content Type ◽  
South Wales ◽  
Aging Prisoners ◽  
Older Inmates ◽  
The Impact

Purpose The purpose of this paper is to compare the rates of chronic illness, disability and access to care between older and younger inmates who took part in a large epidemiological study in New South Wales, Australia. Design/methodology/approach Data are presented from a cross-sectional study based on a sample of inmates from correctional sites in NSW. The inclusion of results here was guided by the literature with regard to their relevance to older people, and older inmates in particular. Findings Results indicate that a higher proportion of older inmates suffer a range of chronic illnesses, with prevalence often many times higher than that of younger inmates. Older inmates are more likely to be classified as disabled and have a disability which impacts their mobility. Older inmates also reported accessing medical services in prison more recently than younger inmates and were more likely to have seen both nurses and general practitioners. Practical implications Older inmates appear to be considerably more resource intensive than younger inmates. The increasing proportion of inmates who are classified as older thus poses a pressing challenge to those working in the carceral space and, in particular, those responsible for providing healthcare to incarcerated people. Originality/value The impact of aging prisoners on resource demand has yet to be effectively measured. This study provides an important first step towards that goal.

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