You have just completed your registration at OpenAire.
Any new content you create is not guaranteed to be present to the final version of the site upon release.
Thank you for your patience,
OpenAire Dev Team.
Background : \ud Recent evidence suggests that small increases in the physical activity of those considered least active can have a bigger health impact than raising levels of those already achieving or close to achieving recommendations. Profiling the characteristics of those who are least active allows for appropriate targeting of interventions. This study therefore examined the characteristics of people in the lowest physical activity bracket.\ud \ud
Methods :\ud Data were taken from the Collaboration for Leadership in Applied Health Research and Care (CLAHRC) funded ‘South Yorkshire Cohort’, a longitudinal observational dataset of residents of South Yorkshire, England. Five separate outcomes based on a shortened version of the GPPAQ were used to represent the lowest levels of physical activity. Potential predictors examined were age, sex, body mass index, ethnicity, chronic conditions, current employment and deprivation. Descriptive statistics and logistic regression were conducted.\ud \ud
Results : \ud Individuals with chronic mental and physical conditions (fatigue, insomnia, anxiety, depression, diabetes, breathing problems, high blood pressure, heart disease, stroke and cancer) were more likely to report the lowest levels of physical activity across all five outcomes. Demographic variations were also observed.\ud \ud
Conclusions : \ud Targeting people with chronic mental and physical conditions has the potential to reduce the impact of physical inactivity.
The results below are discovered through our pilot algorithms. Let us know how we are doing!