Reducing the impact of physical inactivity: evidence to support the case for targeting people with chronic mental and physical conditions

EVERSON-HOCK, Emma S., GREEN, Mark A., GOYDER, Elizabeth C., COPELAND, Robert J., TILL, Simon H., HELLER, Ben and HART, Ollie (2015). Reducing the impact of physical inactivity: evidence to support the case for targeting people with chronic mental and physical conditions. Journal of Public Health, 37 (2), 1-9.

[img]
Preview
PDF
Copeland_-_Reducing_the_impact_of_physical_inactivity_-_article_-_JPH_revised_paper_26_Jan_2015_(2).pdf - Accepted Version
All rights reserved.

Download (464kB) | Preview
[img]
Preview
PDF (Figure 1)
Copeland_-_Reducing_the_impact_of_physical_inactivity_-_fig_1_-_NCSEM_CLAHRC_data_paper_resubmitted_27-1-15_figure_1.pdf - Supplemental Material
All rights reserved.

Download (88kB) | Preview
[img]
Preview
PDF (Figure 2)
Copeland_-_Reducing_the_impact_of_physical_inactivity_-_fig_2_-_NCSEM_CLAHRC_data_paper_resubmitted_27-1-15_figure_2.pdf - Supplemental Material
All rights reserved.

Download (89kB) | Preview
[img]
Preview
PDF (Table 1)
Copeland_-_Reducing_the_impact_of_physical_inactivity_-_tab_1_-_NCSEM_CLAHRC_data_paper_resubmitted_27_1_15_table_1.pdf - Supplemental Material
All rights reserved.

Download (305kB) | Preview
[img]
Preview
PDF (Table 2)
Copeland_-_Reducing_the_impact_of_physical_inactivity_-tab_2_-_NCSEM_CLAHRC_data_paper_resubmitted_27_1_15_table_2.pdf - Supplemental Material
All rights reserved.

Download (212kB) | Preview
[img]
Preview
PDF (Table 3)
Copeland_-_Reducing_the_impact_of_physical_inactivity_-_tab_3_-_NCSEM_CLAHRC_data_paper_resubmitted_27_1_15_table_3.pdf - Supplemental Material
All rights reserved.

Download (201kB) | Preview
Link to published version:: https://doi.org/10.1093/pubmed/fdv036
Related URLs:

    Abstract

    Background : 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.

    Methods : 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.

    Results : 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.

    Conclusions : Targeting people with chronic mental and physical conditions has the potential to reduce the impact of physical inactivity.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Centre for Sports Engineering Research
    Identification Number: https://doi.org/10.1093/pubmed/fdv036
    Page Range: 1-9
    Depositing User: Carole Harris
    Date Deposited: 09 Jun 2015 11:53
    Last Modified: 08 Jul 2019 15:00
    URI: http://shura.shu.ac.uk/id/eprint/10163

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics