Objective: Men – more than women - engage in unhealthy lifestyle practices that place them at greater risk of developing non-communicable disease. This paper aims to explore the prevalence, co-occurrence and clustering of four core lifestyle risk factors and examine the socio demographic variation of their distribution, among men living in two central London boroughs. Method: A stratified street survey was undertaken with N=859 men. Prevalence odds ratios calculated risk factor clustering and a multinomial logistic regression model examined the socio-demographic variation. Results: Over 72% of men presented with combinations of lifestyle risk factors. Physical inactivity combined with a lack of fruit and vegetables was the most com...
Objective: To examine clustering among three major lifestyle risk factors for chronic disease (smoki...
Objectives Men in the municipal setting of Leeds, UK were known to be at greater risk of preventable...
OBJECTIVE: To evaluate the contributions of socioeconomic, lifestyle, and body weight factors to pre...
Objective: Men – more than women - engage in unhealthy lifestyle practices that place them at greate...
Background The aim of this study was to examine the clustering of four major lifestyle risk factors...
Background: Understanding the reciprocal role that multiple problematic behaviours play in men's hea...
Background Clustering of lifestyle risk behaviours is very important in predicting premature mortali...
Background: Risk behaviours, such as smoking and physical inactivity account for up to two-thirds of...
Introduction: Research examining the clustering of lifestyle risk factors (LRFS) associated with non...
BACKGROUND: Risk behaviours, such as smoking and physical inactivity account for up to two-thirds of...
AIMS: To examine the effect that within-person variation has on the estimated risk associations betw...
Given that behaviour-related risk factors cluster together in individuals and populations it is impo...
Objective: There is a growing body of literature examining the clustering of health risk behaviours,...
Background: Most chronic diseases are strongly associated with four modifiable behaviours: smoking, ...
AbstractResearch findings indicate that health-related behaviours (HRBs) do not co-occur within indi...
Objective: To examine clustering among three major lifestyle risk factors for chronic disease (smoki...
Objectives Men in the municipal setting of Leeds, UK were known to be at greater risk of preventable...
OBJECTIVE: To evaluate the contributions of socioeconomic, lifestyle, and body weight factors to pre...
Objective: Men – more than women - engage in unhealthy lifestyle practices that place them at greate...
Background The aim of this study was to examine the clustering of four major lifestyle risk factors...
Background: Understanding the reciprocal role that multiple problematic behaviours play in men's hea...
Background Clustering of lifestyle risk behaviours is very important in predicting premature mortali...
Background: Risk behaviours, such as smoking and physical inactivity account for up to two-thirds of...
Introduction: Research examining the clustering of lifestyle risk factors (LRFS) associated with non...
BACKGROUND: Risk behaviours, such as smoking and physical inactivity account for up to two-thirds of...
AIMS: To examine the effect that within-person variation has on the estimated risk associations betw...
Given that behaviour-related risk factors cluster together in individuals and populations it is impo...
Objective: There is a growing body of literature examining the clustering of health risk behaviours,...
Background: Most chronic diseases are strongly associated with four modifiable behaviours: smoking, ...
AbstractResearch findings indicate that health-related behaviours (HRBs) do not co-occur within indi...
Objective: To examine clustering among three major lifestyle risk factors for chronic disease (smoki...
Objectives Men in the municipal setting of Leeds, UK were known to be at greater risk of preventable...
OBJECTIVE: To evaluate the contributions of socioeconomic, lifestyle, and body weight factors to pre...