Regressive logistic and proportional hazards disease models for within-family analyses of measured genotypes, with application to a CYP17 polymorphism and breast cancer

Various statistical methods have been proposed to evaluate associations between measured genetic variants and disease, including some using family designs. For breast cancer and rare variants, we applied a modified segregation analysis method that uses the population cancer incidence and population-based case families in which a mutation is known to be segregating. Here we extend the method to a common polymorphism, and use a regressive logistic approach to model familial aggregation by conditioning each individual on their mother's breast cancer history. We considered three models: 1) class A regressive logistic model; 2) age-of-onset regressive logistic model; and 3) proportional hazards familial model. Maximum likelihood estimates were calculated using the software MENDEL. We applied these methods to data from the Australian Breast Cancer Family Study on the CYP17 5UTR TC MspA1 polymorphism measured for 1,447 case probands, 787 controls, and 213 relatives of case probands found to have the CC genotype. Breast cancer data for first- and second-degree relatives of case probands were used. The three methods gave consistent estimates. The best-fitting model involved a recessive inheritance, with homozygotes being at an increased risk of 47% (95% CI, 28-68%). The cumulative risk of the disease up to age 70 years was estimated to be 10% or 22% for a CYP17 homozygote whose mother was unaffected or affected, respectively. This analytical approach is well-suited to the data that arise from population-based case-control-family studies, in which cases, controls and relatives are studied, and genotype is measured for some but not all subjects.

Can we skill and activate children through primary school physical education lessons? "Move it Groove it" - a collaborative health promotion intervention

Background: Physical education (PE) lessons are an ideal setting to improve child fundamental movement skills (FMSs) and increase physical activity (PA) for optimal health. Despite this, few studies have assessed the potential to do both simultaneously. The “Move It Groove It” primary school intervention in New South Wales, Australia, had this opportunity.

Methods: A whole school approach to implementation included establishment of school project teams, a teacher “buddy” system, project Web site, teacher training workshops, and small grants for equipment. The quasi-experimental evaluation involved 1,045 year 3 and 4 children (aged 7 to 10 years) in nine intervention and nine control rural primary schools (53% boys/47% girls). It utilised pre- and postobservational surveys of (1) mastery or near mastery levels for each of eight FMSs, (2) proportion of PE lesson time spent in moderate to vigorous PA (MVPA) and vigorous PA (VPA), and (3) teacher- and lesson-related contextual covariates. Data were analysed by hierarchical logistic multiple regression.

Results: For FMSs, overall mastery or near mastery level at baseline was 47% ranging from 22.7% for the overarm throw among girls to 75.4% for the static balance among boys. The intervention delivered substantial improvements in every FMS for both genders ranging from 7.2% to 25.7% (13 of 16 comparisons were significant). For PA level, mean MVPA at baseline was 34.7%. Baseline MVPA for boys was 38.7% and for girls was 33.2%. The intervention was associated with a nonsignificant 4.5% increase in MVPA and a significant 3.0% increase in VPA. This translates to a gain of <1 minute of MVPA per average 21-minute lesson.

Conclusions: This is the first study to show that by modifying existing PE lessons, significant improvements in FMS mastery can be gained without adversely affecting children’s MVPA and VPA. To increase PA levels, we recommend increasing the number of PE lessons per week.

Active school playgrounds - myth or reality? Results of the "Move It Groove It" project

Background: School playgrounds during break times provide potential opportunities for children to be active during the school day. However, there is limited research on how active children really are during these breaks.

Methods: The CAST (Children's Activity Scanning Tool) instrument was developed, validated, and used to assess the percentages of children engaged in moderate to vigorous physical activity (MVPA) and vigorous physical activity (VPA—a subset of MVPA) in 18 primary schools (children ages 5–12) in rural Australia. Related environmental factors were also measured.

Results: For a school of median size (200 students), 51.4% of boys and 41.6% of girls were engaged in MVPA while 14.7% of boys and 9.4% of girls were engaged in VPA. Levels of engagement in MVPA and VPA were significantly higher during lunch periods than during recess. MVPA and VPA engagement in smaller schools was significantly higher than in larger schools.

Conclusions: With growing concern about children's physical activity (PA), school playgrounds offer an opportunity to increase children's MVPA engagement especially among girls. Consideration may be given to the lengthening of recess periods in order to increase PA levels. More research is needed to investigate factors affecting PA levels in larger schools.

Physical inactivity and other health risks among Australian males in less-skilled occupations

Male workers in less-skilled occupations have higher rates of cardiovascular disease, compared with higher-skilled workers. A representative population sample of Australian male workers was used to compare physical activity levels and selected cardiovascular disease risk factors in less-skilled versus professional and skilled workers. Workers in the less-skilled occupational categories reported significantly more vigorous work and home-based activity than did those in the professional and skilled categories. In multivariate comparisons, cigarette smoking was the only factor that discriminated between the less-skilled versus the professional and skilled employees. Although worksites can potentially provide health-promoting physical activity options for higher-risk groups, our findings suggest that smoking and possibly overweight are risk factors that are more strongly present in less-skilled occupations.

Perceived fairness of pay among people with and without disabilities: a propensity score matched analysis of working Australians

OBJECTIVES: Equity and fairness at work are associated with a range of organizational and health outcomes. Past research suggests that workers with disabilities experience inequity in the workplace. It is difficult to conclude whether the presence of disability is the reason for perceived unfair treatment due to the possible confounding of effect estimates by other demographic or socioeconomic factors. METHODS: The data source was the Household, Income, and Labor Dynamics in Australia (HILDA) survey (2001-2012). Propensity for disability was calculated from logistic models including gender, age, education, country of birth, and father's occupational skill level as predictors. We then used nearest neighbor (on propensity score) matched analysis to match workers with disabilities to workers without disability. RESULTS: Results suggest that disability is independently associated with lower fairness of pay after controlling for confounding factors in the propensity score matched analysis; although results do suggest less than half a standard deviation difference, indicating small effects. Similar results were apparent in standard multivariable regression models and alternative propensity score analyses (stratification, covariate adjustment using the propensity score, and inverse probability of treatment weighting). CONCLUSIONS: Whilst neither multivariable regression nor propensity scores adjust for unmeasured confounding, and there remains the potential for other biases, similar results for the two methodological approaches to confounder adjustment provide some confidence of an independent association of disability with perceived unfairness of pay. Based on this, we suggest that the disparity in the perceived fairness of pay between people with and without disabilities may be explained by worse treatment of people with disabilities in the workplace.

Spirituality, religion, social support and health among older Australian adults

AIM: To examine the impact of perceived importance of spirituality or religion (ISR) and religious service attendance (RSA) on health and well-being in older Australians. METHODS: A cross-sectional survey of 752 community-dwelling men and women aged 55-85 years from the Hunter Region, New South Wales. RESULTS: Overall, 51% of participants felt spirituality or religion was important in their lives and 24% attended religious services at least 2-3 times a month. In univariate regression analyses, ISR and RSA were associated with increased levels of social support (P < 0.001). However, ISR was also associated with more comorbidities (incidence-rate ratio= 1.2, 95% confidence interval 1.08-1.33). There were no statistically significant associations between ISR or RSA and other measures such as mental and physical health. CONCLUSION: Spirituality and religious involvement have a beneficial impact on older Australians' perceptions of social support, and may enable individuals to better cope with the presence of multiple comorbidities later in life.

Individual, occupational, and workplace correlates of occupational health and safety vulnerability in a sample of Canadian workers

Objective: To describe OH&S vulnerability across a diverse sample of Canadian workers.
Methods: A survey was administered to 1,835 workers employed more than 15 hrs/week in workplaces with at least five employees. Adjusted logistic models were fitted for three specific and one overall measure of workplace vulnerability developed based on hazard exposure and access to protective OH&S policies and procedures, awareness of employment rights and responsibilities, and workplace empowerment.
Results: More than one third of the sample experienced some OH&S vulnerability. The type and magnitude of vulnerability varied by labor market sub-group. Younger workers and those in smaller workplaces experienced signficantly higher odds of multiple types of vulnerability. Temporary workers reported elevated odds of overall, awareness- and empowerment-related vulnerability, while respondents born outside of Canada had significantly higher odds of awareness vulnerability.
Conclusion: Knowing how labor market sub-groups experience different types of vulnerability can inform better-tailored primary prevention interventions.

Life satisfaction and morbidity among postmenopausal women

OBJECTIVE: To investigate associations between morbidity and global life satisfaction in postmenopausal women taking into account type and number of diseases.

MATERIALS AND METHODS: A total of 11,084 women (age range 57-66 years) from a population-based cohort of Finnish women (OSTPRE Study) responded to a postal enquiry in 1999. Life satisfaction was measured with a 4-item scale. Self-reported diseases diagnosed by a physician and categorized according to ICD-10 main classes were used as a measure of morbidity. Enquiry data on health and lifestyle were used as covariates in the multivariate logistic models.

RESULTS: Morbidity was strongly associated with life dissatisfaction. Every additional disease increased the risk of life dissatisfaction by 21.1% (p < .001). The risk of dissatisfaction was strongest among women with mental disorders (OR = 5.26; 95%CI 3.84-7.20) and neurological disorders (OR = 3.62; 95%CI 2.60-5.02) compared to the healthy (each p < .001). Smoking, physical inactivity and marital status were also associated with life dissatisfaction (each p < .001) but their introduction to the multivariate model did not attenuate the pattern of associations.

CONCLUSIONS: Morbidity and life dissatisfaction have a disease-specific and dose-dependent relationship. Even if women with mental and neurological disorders have the highest risk for life dissatisfaction, monitoring life satisfaction among aging women regardless of disorders should be undertaken in order to intervene the joint adverse effects of poor health and poor well-being.

Is change in global self-rated health associated with change in affiliation with a primary care provider? Findings from a longitudinal study from New Zealand

To investigate the association of self-rated health and affiliation with a primary care provider (PCP) in New Zealand.
Methods

We used data from a New Zealand panel study of 22,000 adults. The main exposure was self-rated health, and the main outcome measure was affiliation with a PCP. Fixed effects conditional logistic models were used to control for observed time-varying and unobserved time-invariant confounding.
Results

In any given wave, the odds of being affiliated with a PCP were higher for those in good and fair/poor health relative to those in excellent health. While affiliation for Europeans increased as reported health declined, the odds of being affiliated were lower for Māori respondents reporting very good or good health relative to those in excellent health. No significant differences in the association by age or gender were observed.
Conclusions

Our data support the hypothesis that those in poorer health are more likely to be affiliated with a PCP. Variations in affiliation for Māori could arise for several reasons, including differences in care-seeking behaviour and perceived need of care. It may also mean that the message about the benefits of primary health care is not getting through equally to all population groups.

The prevalence and characteristics associated with excessive daytime sleepiness among Australian workers

OBJECTIVE: To estimate the prevalence of excessive daytime sleepiness (EDS) and its associated factors in a mixed population of employed Australian workers. METHODS: Study participants (n = 707) were volunteers from various Melbourne workplaces, participating in a workplace physical activity program in 2008. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS), with EDS defined as ESS scores >10. RESULTS: In this population of adult employees (40.0% male; mean age 40.2 ± 10.4 years), prevalence of EDS was 16.0%. Characteristics associated with EDS and higher ESS scores were age, higher body mass index, markers of poorer diet, and markers of poorer mental health. CONCLUSIONS: Excessive daytime sleepiness is potentially an important contributor to lower productivity and poorer mental health in the workplace. Our finding suggests that workplace health programs aimed at improving diet and body weight may also help alleviate EDS.

Estimating the effect of long-term physical activity on cardiovascular disease and mortality: evidence from the Framingham Heart Study

OBJECTIVE: In the majority of studies, the effect of physical activity (PA) on cardiovascular disease (CVD) and mortality is estimated at a single time point. The impact of long-term PA is likely to differ. Our study objective was to estimate the effect of long-term adult-life PA compared with long-term inactivity on the risk of incident CVD, all-cause mortality and CVD-attributable mortality. DESIGN: Observational cohort study. SETTING: Framingham, MA, USA. PATIENTS: 4729 Framingham Heart Study participants who were alive and CVD-free in 1956. EXPOSURES: PA was measured at three visits over 30 years along with a variety of risk factors for CVD. Cumulative PA was defined as long-term active versus long-term inactive. MAIN OUTCOME MEASURES: Incident CVD, all-cause mortality and CVD-attributable mortality. RESULTS: During 40 years of follow-up there were 2594 cases of incident CVD, 1313 CVD-attributable deaths and 3521 deaths. Compared with long-term physical inactivity, the rate ratio of long-term PA was 0.95 (95% CI 0.84 to 1.07) for CVD, 0.81 (0.71 to 0.93) for all-cause mortality and 0.83 (0.72 to 0.97) for CVD-attributable mortality. Assessment of effect modification by sex suggests greater protective effect of long-term PA on CVD incidence (p value for interaction=0.004) in men (0.79 (0.66 to 0.93)) than in women (1.15 (0.97 to 1.37)). CONCLUSIONS: Cumulative long-term PA has a protective effect on incidence of all-cause and CVD-attributable mortality compared with long-term physical inactivity. In men, but not women, long-term PA also appears to have a protective effect on incidence of CVD.

Risk of cardiovascular disease and diabetes in a working population with sedentary occupations

OBJECTIVE: To assess the prevalence of risk factors and risk for cardiovascular disease and Type 2 diabetes in employees with sedentary occupations enrolled in a workplace health-promotion program. METHODS: Participants (n = 762) were recruited from ten Melbourne workplaces, participating in a physical activity program. Demographic, behavioral, biomedical, and physical measurements were collected. RESULTS: The majority of employees were not meeting recommended guidelines for physical activity (62%), fruit intake (70%), vegetable intake (86%), body mass index (58%), or waist circumference (53%). Most had intermediate (53%) or high (7%) risk of developing Type 2 diabetes. CONCLUSIONS: The majority of Australian adults in sedentary occupations were not meeting guidelines for a number of chronic disease risk factors and a substantial proportion were unaware of their increased risk. This study supports the potential of chronic disease risk factor detection and intervention programs in the workplace.

Gender differences in presentation, coronary intervention, and outcomes of 28,985 acute coronary syndrome patients in Victoria, Australia

BACKGROUND: Differences in demographics, presenting characteristics, and treatment of heart disease in women may contribute to adverse outcomes. The purpose of this paper was to describe gender differences in the epidemiology, treatment, and outcomes of all admissions for acute coronary syndrome (ACS) in Victoria that occurred between June 2007 and July 2009. METHODS: We undertook a retrospective cohort study of all patients admitted to Victorian hospitals with a first time diagnosis of ACS. Use of angiograms, percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG), and adverse outcomes (death and/or unplanned readmission) were compared by gender and hierarchical logistic regression models were used to account for confounding variables. RESULTS: Of a total of 28,985 ACS patients, 10,455 (36%) were women. Compared with men, women were older (aged ≥75 years: 54% vs 31%; p < .001), more likely to present with multiple comorbidities (>1 comorbidity: 53% vs 46%; p < .001), and more likely to be diagnosed with non-ST-segment elevation ACS (86% vs 80%; p < .001). Women were less likely to receive coronary interventions (angiogram: adjusted odds ratio [aOR], 0.71; 95% CI, 0.66-0.75; PCI: aOR, 0.73; 95% CI, 0.66-0.80; CABG: aOR, 0.58; 95% CI, 0.53-0.64). Adverse outcomes were similar in women and men after accounting for confounding variables. CONCLUSIONS: Our results show that women in Victoria were less likely to receive coronary interventions after an admission for ACS. Clinicians should be wary of inherent gender bias in decisions to refer patients for angiography.

Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey

BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from surveys, such as the triennial National Health Survey. However, international evidence suggests that self-reported data may substantially underestimate actual risk factor prevalence. This study sought to characterise the extent of misreporting in a large, nationally-representative health survey that included objective measures of clinical risk factors for CVD.

METHODS: This study employed a cross-sectional analysis of 7269 adults aged 18 years and over who provided fasting blood samples as part of the 2011-12 Australian Health Survey. Self-reported prevalence of high blood pressure, high cholesterol and diabetes was compared to measured prevalence, and univariate and multivariate logistic regression analyses identified socio-demographic characteristics associated with underreporting for each risk factor.

RESULTS: Approximately 16 % of the total sample underreported high blood pressure (measured to be at high risk but didn't report a diagnosis), 33 % underreported high cholesterol, and 1.3 % underreported diabetes. Among those measured to be at high risk, 68 % did not report a diagnosis for high blood pressure, nor did 89 % of people with high cholesterol and 29 % of people with high fasting plasma glucose. Younger age was associated with underreporting high blood pressure and high cholesterol, while lower area-level disadvantage and higher income were associated with underreporting diabetes.

CONCLUSIONS: Underreporting has important implications for CVD risk factor surveillance, policy planning and decisions, and clinical best-practice guidelines. This analysis highlights concerns about the reach of primary prevention efforts in certain groups and implications for patients who may be unaware of their disease risk status.

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models

In this paper, two real-world medical classification problems using electrocardiogram (ECG) and auscultatory blood pressure (Korotkoff) signals are examined. A total of nine machine learning models are applied to perform classification of the medical data sets. A number of useful performance metrics which include accuracy, sensitivity, specificity, as well as the area under the receiver operating characteristic curve are computed. In addition to the original data sets, noisy data sets are generated to evaluate the robustness of the classifiers against noise. The 10-fold cross validation method is used to compute the performance statistics, in order to ensure statistically reliable results pertaining to classification of the ECG and Korotkoff signals are produced. The outcomes indicate that while logistic regression models perform the best with the original data set, ensemble machine learning models achieve good accuracy rates with noisy data sets.