Nasser Bagheri

Neighborhood built environment and transport and leisure physical activity: findings using objective exposure and outcome measures in New Zealand.

Background: Evidence of associations between neighborhood built environments and transport-related physical activity (PA) is accumulating, but few studies have investigated associations with leisure-time PA. Objective: We investigated associations of five objectively measured characteristics of the neighborhood built environment—destination access, street connectivity, dwelling density, land-use mix and streetscape quality—with residents’ self-reported PA (transport, leisure, and walking) and accelerometer-derived measures of PA. Methods: Using a multicity stratified cluster sampling design, we conducted a cross-sectional survey of 2,033 adults who lived in 48 New Zealand neighborhoods. Multilevel regression modeling, which was adjusted for individual-level (sociodemographic and neighborhood preference) and neighborhood-level (deprivation) confounders, was used to estimate associations of built environment with PA. Results: We found that 1-SD increases in destination access, street connectivity, and dwelling density were associated with any versus no self-reported transport, leisure, or walking PA, with increased odds ranging from 21% [street connectivity with leisure PA, 95% confidence interval (CI): 0%, 47%] to 44% (destination accessibility with walking, 95% CI: 17%, 79%). Among participants who self-reported some PA, a 1-SD increase in street connectivity was associated with a 13% increase in leisure PA (95% CI: 0, 28%). SD increases in destination access, street connectivity, and dwelling density were each associated with 7% increases in accelerometer counts. Conclusions: Associations of neighborhood destination access, street connectivity, and dwelling density with self-reported and objectively measured PA were moderately strong, indicating the potential to increase PA through changes in neighborhood characteristics.

Does Daily Exposure to Whole-Body Vibration and Mechanical Shock Relate to the Prevalence of Low Back and Neck Pain in a Rural Workforce?

OBJECTIVES To determine whether whole-body vibration (WBV) and mechanical shock exposure from quad bike use are associated with the prevalence of neck and low back pain (LBP) in New Zealand farmers and rural workers. METHODS Full-day WBV and mechanical shock exposures were gathered from 130 farmers and rural workers. Participants were surveyed for a history of neck or LBP in the past 7 days and in the past 12 months. Anthropometric, personal, and workplace data were also gathered. RESULTS Physical exposures (mechanical shocks), employee status, and low levels of workplace satisfaction are all significantly associated with the 12-month prevalence of LBP in this rural workforce that regularly use quad bikes. Both vibration and mechanical shock exposure were strongly associated with 12-month prevalence of neck pain. The 7-day prevalence of neck pain showed a non-significant association with mechanical shock and vibration. CONCLUSIONS Knowledge of these findings will be valuable information for those who teach and advise on safe driving techniques for such vehicles in the rural workplace where reduction of physical exposures and injury rates is of high importance.

Exposure to Whole-Body Vibration and Mechanical Shock: A Field Study of Quad Bike Use in Agriculture

OBJECTIVES The purpose of this study was to determine exposure to whole-body vibration (WBV) and mechanical shock in rural workers who use quad bikes and to explore how personal, physical, and workplace characteristics influence exposure. METHODS A seat pad mounted triaxial accelerometer and data logger recorded full workday vibration and shock data from 130 New Zealand rural workers. Personal, physical, and workplace characteristics were gathered using a modified version of the Whole Body Vibration Health Surveillance Questionnaire. WBVs and mechanical shocks were analysed in accordance with the International Standardization for Organization (ISO 2631-1 and ISO 2631-5) standards and are presented as vibration dose value (VDV) and mechanical shock (S(ed)) exposures. RESULTS VDV(Z) consistently exceeded European Union (Guide to good practice on whole body vibration. Directive 2002/44/EC on minimum health and safety, European Commission Directorate General Employment, Social Affairs and Equal Opportunities. 2006) guideline exposure action thresholds with some workers exceeding exposure limit thresholds. Exposure to mechanical shock was also evident. Increasing age had the strongest (negative) association with vibration and shock exposure with body mass index (BMI) having a similar but weaker effect. Age, daily driving duration, dairy farming, and use of two rear shock absorbers created the strongest multivariate model explaining 33% of variance in VDV(Z). Only age and dairy farming combined to explain 17% of the variance for daily mechanical shock. Twelve-month prevalence for low back pain was highest at 57.7% and lowest for upper back pain (13.8%). CONCLUSIONS Personal (age and BMI), physical (shock absorbers and velocity), and workplace characteristics (driving duration and dairy farming) suggest that a mix of engineered workplace and behavioural interventions is required to reduce this level of exposure to vibration and shock.

Identifying important comorbidity among cancer populations using administrative data: Prevalence and impact on survival.

Our study sought to optimize the identification and investigate the impact of comorbidity in cancer patients using routinely collected hospitalization data.

Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research

Background: General practitioner (GP) practices in Australia are increasingly storing patient information in electronic databases. These practice databases can be accessed by clinical audit software to generate reports that inform clinical or population health decision making and public health surveillance. Many audit software applications also have the capacity to generate de‐identified patient unit record data. However, the de‐identified nature of the extracted data means that these records often lack geographic information. Without spatial references, it is impossible to build maps reflecting the spatial distribution of patients with particular conditions and needs. Links to socioeconomic, demographic, environmental or other geographically based information are also not possible. In some cases, relatively coarse geographies such as postcode are available, but these are of limited use and researchers cannot undertake precision spatial analyses such as calculating travel times.

Community Cardiovascular Disease Risk From Cross-Sectional General Practice Clinical Data: A Spatial Analysis

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year absolute CVD risk score was calculated based on the Framingham risk equation. The individual risk scores were aggregated within each Statistical Area Level One (SA1) to predict the level of CVD risk in that area. Finally, the pattern of CVD risk was visualized to highlight communities with high and low risk of CVD. Results The overall 10-year risk of CVD in our sample population was 14.6% (95% confidence interval [CI], 14.3%–14.9%). Of the 4,740 patients in our study, 26.7% were at high risk, 29.8% were at moderate risk, and 43.5% were at low risk for CVD over 10 years. The proportion of patients at high risk for CVD was significantly higher in the communities of low socioeconomic status. Conclusion This study illustrates methods to further explore prevalence, location, and correlates of CVD to identify communities of high levels of unmet need for cardiovascular care and to enable geographic targeting of effective interventions for enhancing early and timely detection and management of CVD in those communities.

Undiagnosed diabetes from cross-sectional GP practice data: an approach to identify communities with high likelihood of undiagnosed diabetes

Objectives To estimate undiagnosed diabetes prevalence from general practitioner (GP) practice data and identify areas with high levels of undiagnosed and diagnosed diabetes. Design Data from the North-West Adelaide Health Survey (NWAHS) were used to develop a model which predicts total diabetes at a small area. This model was then applied to cross-sectional data from general practices to predict the total level of expected diabetes. The difference between total expected and already diagnosed diabetes was defined as undiagnosed diabetes prevalence and was estimated for each small area. The patterns of diagnosed and undiagnosed diabetes were mapped to highlight the areas of high prevalence. Setting North-West Adelaide, Australia. Participants This study used two population samples—one from the de-identified GP practice data (n=9327 active patients, aged 18 years and over) and another from NWAHS (n=4056, aged 18 years and over). Main outcome measures Total diabetes prevalence, diagnosed and undiagnosed diabetes prevalence at GP practice and Statistical Area Level 1. Results Overall, it was estimated that there was one case of undiagnosed diabetes for every 3–4 diagnosed cases among the 9327 active patients analysed. The highest prevalence of diagnosed diabetes was seen in areas of lower socioeconomic status. However, the prevalence of undiagnosed diabetes was substantially higher in the least disadvantaged areas. Conclusions The method can be used to estimate population prevalence of diabetes from general practices wherever these data are available. This approach both flags the possibility that undiagnosed diabetes may be a problem of less disadvantaged social groups, and provides a tool to identify areas with high levels of unmet need for diabetes care which would enable policy makers to apply geographic targeting of effective interventions.

Time spent by people managing chronic obstructive pulmonary disease indicates biographical disruption

Since Bury’s 1982 proposal that chronic illness creates biographical disruption for those who are living with it, there has been no effort to quantitatively measure such disruption. “Biographical disruption” refers to the substantial and directive influence that chronic illness can have over the course of a person’s life. Qualitative research and time use studies have demonstrated that people with chronic illnesses spend considerable amounts of time managing their health, and that these demands may change over time. This study was designed to measure the time that older people with chronic illnesses spend on selected health practices as one indicator of biographical disruption. We look specifically at the time use of people with chronic obstructive pulmonary disease (COPD). As part of a larger time use survey, a recall questionnaire was mailed to 3,100 members of Lung Foundation Australia in 2011. A total of 681 responses were received (22.0% response rate), 611 of which were from people with COPD. Descriptive analyses were undertaken on the amount of time spent on selected health-related activities including personal care, nonclinical health-related care, and activity relating to health services. Almost all people with COPD report spending some time each day on personal or home-based health-related tasks, with a median time of 15 minutes per day spent on these activities. At the median, people also report spending about 30 minutes per day exercising, 2.2 hours per month (the equivalent of 4.4 minutes per day) on nonclinical health-related activities, and 4.1 hours per month (equivalent to 8.2 minutes per day) on clinical activities. Excluding exercise, the median total time spent on health-related activities was 17.8 hours per month (or 35.6 minutes per day). For people in the top 10% of time use, the total amount of time was more than 64.6 hours per month (or 2.2 hours per day) excluding exercise, and 104 hours per month (or 3.5 hours per day) including exercise. The amount of time spent on health-related activity, such as engaging in personal care tasks, may be regular and predictable. The execution of these tasks generally takes relatively small amounts of time, and might be incorporated into daily life (biography) without causing significant disruption. Other activities may require large blocks of time, and they may be disruptive in a practical way that almost inevitably disrupts biography. The amount of time required does not appear to alter in relation to the time since diagnosis. The scale of time needed to manage one’s health could easily be interpreted as disruptive, and for some people, even overwhelming.

The impact of general practice nursing care on patient satisfaction and enablement in Australia: A mixed methods study

BACKGROUND The numbers of nurses in general practice in Australia tripled between 2004 and 2012. However, evidence on whether nursing care in general practice improves patient outcomes is scarce. Although patient satisfaction and enablement have been examined extensively as outcomes of general practitioner care, there is little research into these outcomes from nursing care in general practice. The aim of this study was to examine the relationships between specific general practice characteristics and nurse consultation characteristics, and patient satisfaction and enablement METHODS: A mixed methods study examined a cross-section of patients from 21 general practices in the Australian Capital Territory. The Patient Enablement and Satisfaction Survey was distributed to 1665 patients who received nursing care between September 2013 and March 2014. Grounded theory methods were used to analyse interviews with staff and patients from these same practices. An integrated analysis of data from both components was conducted using multilevel mixed effect models. RESULTS Data from 678 completed patient surveys (response rate=42%) and 48 interviews with 16 nurses, 23 patients and 9 practice managers were analysed. Patients who had longer nurse consultations were more satisfied (OR=2.50, 95% CI: 1.43-4.35) and more enabled (OR=2.55, 95% CI: 1.45-4.50) than those who had shorter consultations. Patients who had continuity of care with the same general practice nurse were more satisfied (OR=2.31, 95% CI: 1.33-4.00) than those who consulted with a nurse they had never met before. Patients who attended practices where nurses worked with broad scopes of practice and high levels of autonomy were more satisfied (OR=1.76, 95% CI: 1.09-2.82) and more enabled (OR=2.56, 95% CI: 1.40-4.68) than patients who attended practices where nurses worked with narrow scopes of practice and low levels of autonomy. Patients who received nursing care for the management of chronic conditions (OR=2.64, 95% CI: 1.32-5.30) were more enabled than those receiving preventive health care. CONCLUSIONS This study provides the first evidence of the importance of continuity of general practice nurse care, adequate time in general practice nurse consultations, and broad scopes of nursing practice and autonomy for patient satisfaction and enablement. The findings of this study provide evidence of the true value of enhanced nursing roles in general practice. They demonstrate that when the vision for improved coordination and multidisciplinary primary health care, including expanded roles of nurses, is implemented, high quality patient outcomes can be achieved.

Low Back and Neck Pain in Locomotive Engineers Exposed to Whole-Body Vibration

ABSTRACT The objective of this study was to determine the prevalence and excess risk of low back pain and neck pain in locomotive engineers, and to investigate the relationship of both with whole-body vibration exposure. A cross-sectional survey comparing locomotive engineers with other rail worker referents was conducted. Current vibration levels were measured, cumulative exposures calculated for engineers and referents, and low back and neck pain assessed by a self-completed questionnaire. Median vibration exposure in the z- (vertical) axis was 0.62 m/s2. Engineers experienced more frequent low back and neck pain, odds ratios (ORs) of 1.77 (95% confidence interval [CI]: 1.19–2.64) and 1.92 (95% CI: 1.22–3.02), respectively. The authors conclude that vibration close to the “action levels” of published standards contribute to low back and neck pain. Vibration levels need to be assessed conservatively and control measures introduced.