Age, period and cohort (APC) analyses, using representative, population-based descriptive data, provide additional understanding behind increased prevalence rates
The aim of this paper is to examine the association of physical inactivity with incidence of obesity...
Background: Overweight and obesity impose a significant health burden in Australia, predominantly th...
<p>RR: relative risk. CI: Confidence Interval.</p>a<p>Adjusted for age and sex.</p>b<p>Adjusted by a...
Age, period and cohort (APC) analyses, using representative, population-based descriptive data, prov...
Age, period and cohort (APC) analyses, using representative, population-based descriptive data, prov...
Background Age, period and cohort (APC) analyses, using representative, population-based descriptive...
Background: To determine the contribution of overweight and obesity to five chronic conditions using...
Background: Understanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, h...
Trends in chronic diseases provide insights into strategies required to improve population health. T...
Objective: To highlight the value of continuous risk factor surveillance systems in providing eviden...
Background: It has been reported that current smoking, overweight/obesity and physical inactivity ar...
The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) addresses the urgent need for data on...
Use of generalized linear models with continuous, non-linear functions for age, period and cohort ma...
The aim of this paper is to examine the association of physical inactivity with incidence of obesity...
The WHO Global report on diabetes (2016) highlights the scale of diabetes as an important public hea...
The aim of this paper is to examine the association of physical inactivity with incidence of obesity...
Background: Overweight and obesity impose a significant health burden in Australia, predominantly th...
<p>RR: relative risk. CI: Confidence Interval.</p>a<p>Adjusted for age and sex.</p>b<p>Adjusted by a...
Age, period and cohort (APC) analyses, using representative, population-based descriptive data, prov...
Age, period and cohort (APC) analyses, using representative, population-based descriptive data, prov...
Background Age, period and cohort (APC) analyses, using representative, population-based descriptive...
Background: To determine the contribution of overweight and obesity to five chronic conditions using...
Background: Understanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, h...
Trends in chronic diseases provide insights into strategies required to improve population health. T...
Objective: To highlight the value of continuous risk factor surveillance systems in providing eviden...
Background: It has been reported that current smoking, overweight/obesity and physical inactivity ar...
The Australian Diabetes, Obesity and Lifestyle Study (AusDiab) addresses the urgent need for data on...
Use of generalized linear models with continuous, non-linear functions for age, period and cohort ma...
The aim of this paper is to examine the association of physical inactivity with incidence of obesity...
The WHO Global report on diabetes (2016) highlights the scale of diabetes as an important public hea...
The aim of this paper is to examine the association of physical inactivity with incidence of obesity...
Background: Overweight and obesity impose a significant health burden in Australia, predominantly th...
<p>RR: relative risk. CI: Confidence Interval.</p>a<p>Adjusted for age and sex.</p>b<p>Adjusted by a...
DOI