Cohort Profile: The North West Adelaide Health Study (NWAHS)

Grant, Janet; Taylor, Anne; Ruffin, Richard E.; Wilson, David H.; Phillips, Patrick J.; Adams, Robert; Price, Kay

doi:10.1093/ije/dyn262

Cited by 106 publications

(108 citation statements)

References 6 publications

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“…Baseline data were collected in 2000-03 (n=4056), with two additional waves of data collection over 10 years. 19 This cross-sectional study used the data collected at Wave 2 (n=3563, 2004-07). Geographical data current at 2006 were used to represent objective features of environments.…”

Section: Study Samplementioning

confidence: 99%

Do Relationships Between Environmental Attributes and Recreational Walking Vary According to Area-Level Socioeconomic Status?

et al. 2015

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Residents of areas with lower socioeconomic status (SES) are known to be less physically active during leisure time. Neighborhood walkability has been shown to be related to recreational walking equally in low and high SES areas. This crosssectional study tested whether associations of specific environmental attributes, measured objectively and subjectively, with walking for recreation were moderated by area-level SES. The data of the North West Adelaide Health Study collected in 2007 (n=1500, mean age 57) were used. Self-reported walking frequency was the outcome of the study. Environmental exposure measures included objectively measured walkability components (residential density, intersection density, land use mix, and net retail area ratio) and perceived attributes (access to destinations, neighborhood esthetics, walking infrastructure, traffic/barriers, and crime safety). Participants' suburbs were categorized into low and high SES areas using an indicator of socioeconomic disadvantage. Low SES areas had lower scores in residential density, neighborhood esthetics, walking infrastructure, traffic/barriers, and crime safety. Recreational walking was associated with residential density, access to destinations, esthetics, traffic/barriers, and crime safety. Effect modification was observed for two attributes (out of nine): residential density was associated with walking only in low SES areas, while walking infrastructure was associated with walking only in high SES areas. The associations of neighborhood environmental attributes with recreational walking were largely consistent across SES groups. However, low SES areas were disadvantaged in most perceived environmental attributes related to recreational walking. Improving such attributes in low SES neighborhoods may help close socioeconomic disparities in leisure time physical activity.

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Section: Study Samplementioning

confidence: 99%

Do Relationships Between Environmental Attributes and Recreational Walking Vary According to Area-Level Socioeconomic Status?

et al. 2015

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“…The study was a prospective comparison between two existing cohorts of study subjects, i.e., a cohort of South Australian male metropolitan firefighters 15) and a reference cohort of South Australian males randomly selected from the general population 16) . Data collection for the ongoing South Australian Metropolitan Fire Service (SAMFS) study commenced in August 2007 and was completed in April 2011.…”

Section: Design and Study Populationsmentioning

confidence: 99%

“…Males from the North West Adelaide Health Study (NWAHS) 17) 16,17) . Figure 1 shows the recruitment and follow-up for the NWAHS study and the selection for the comparison with the firefighters.…”

Section: Design and Study Populationsmentioning

confidence: 99%

Change in Lung Function over Time in Male Metropolitan Firefighters and General Population Controls: A 3‐year Follow‐up Study

Schermer

Malbon

Adams

et al. 2013

Journal of Occupational Health

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Change in Lung Function over Time in Male Metropolitan Firefighters and General Population Controls: A 3‐year Follow‐up Study: Tjard R. SCHERMER, et al. Discipline of General Practice, School of Population Health, The University of Adelaide, Australia Objective Previous studies in firefighters have been contradictory regarding their course of lung function over time. The aim of this ongoing study is to investigate how changes in lung function over time in male metropolitan firefighters compare with those in population controls, and to explore associations between firefightersï¿½ use of personal respiratory protection devices during occupational exposures and their risk of accelerated lung function decline. Methods A prospective comparison of FEV1 (forced expiratory volume in 1 second) and FVC (forced vital capacity) was performed between 281 firefighters and 933 population controls. Logistic regression models were used to compare changes from baseline of FEV1 and FVC after 3 years and risk of accelerated decline between the cohorts. Within the firefighter cohort, risk of accelerated decline was compared between subgroups based on use of respiratory protection devices. Results Controls showed similar mean annual declines for FEV1 and FVC across age categories, whereas firefighters aged <45 years showed increasing values over time (p=0.040). Firefighters had a lower odds of accelerated FEV1 decline compared with controls (OR=0.60, 95%CI 0.44; 0.83), but firefighters who never or rarely used respiratory protection during fire knockdown had a higher odds of accelerated FEV1 decline compared with those who used it often or frequently (OR=2.20, 95%CI 1.02; 4.74). Conclusions: Younger generations of firefighters showed an increase in lung function relative to older colleagues, while population controls consistently showed decline of lung function across all ages. Firefighters who reported to be incompliant in using respiratory protection showed an increased risk of accelerated FEV1 decline.

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“…The study focuses on priority health conditions and risk factors that have been identified due to the significant burden that is placed on the community in terms of social, health, quality of life and economic factors. By identifying and describing specific population groups at risk of chronic conditions, the effectiveness of strategies for the prevention, early detection, and management of chronic conditions may be maximised (Grant et al, 2006;Grant et al, 2009). Participants were recruited to Stage 1 of the study between 2000 and 2003, and undertook a second assessment between 2004 and 2006.…”

Section: North West Adelaide Health Studymentioning

confidence: 99%

“…The initial objective of the study was to establish both baseline self-reported and biomedically measured information on chronic diseases and risk factors, in terms of those who may be at risk of these conditions, those who already had these conditions but had not been diagnosed, and those who had previously been diagnosed with the conditions. Identifying those categories of disease along a chronic disease continuum provides a view of disease burden and presents opportunities for effective interventions, improved health service use and development of health policy (Grant et al, 2006;Grant et al, 2009). When specifically considering osteoporosis, the chronic disease continuum can be described as presented in Figure 1.…”

Section: North West Adelaide Health Studymentioning

confidence: 99%