Do differences in religious affiliation explain high levels of excess mortality in the UK?
Recent News
Recent Outputs
Upcoming Events
Sorry, there are currently no upcoming Events.
Ralston, K., Walsh, D., Feng, Z., Dibben, C., McCartney, G. & O'Reilly, D. (2017) Journal of Epidemiology & Community Health 71(5), 7 March 2017. [SLS][ONS LS]
Other information:
SLS project pageONS LS project page
Abstract:
Background High levels of mortality not explained by differences in socioeconomic status (SES) have been observed for Scotland and its largest city, Glasgow, compared with elsewhere in the UK. Previous cross-sectional research highlighted potentially relevant differences in social capital, including religious social capital (the benefits of social participation in organised religion). The aim of this study was to use longitudinal data to assess whether religious affiliation (as measured in UK censuses) attenuated the high levels of Scottish excess mortality.
Methods The study used the Scottish Longitudinal Study (SLS) and the ONS Longitudinal Study of England and Wales. Risk of all-cause mortality (2001–2010) was compared between residents aged 35 and 74 years of Scotland and England and Wales, and between Glasgow and Liverpool/Manchester, using Poisson regression. Models adjusted for age, gender, SES and religious affiliation. Similar country-based analyses were undertaken for suicide.
Results After adjustment for age, gender and SES, all-cause mortality was 9% higher in Scotland than in England and Wales, and 27% higher in Glasgow than in Liverpool or Manchester. Religious affiliation was notably lower across Scotland; but, its inclusion in the models did not attenuate the level of Scottish excess all-cause mortality, and only marginally lowered the differences in risk of suicide.
Conclusions Differences in religious affiliation do not explain the higher mortality rates in Scotland compared with the rest of the UK. However, it is possible that other aspects of religion such as religiosity or religious participation which were not assessed here may still be important.
Available online: Journal of Epidemiology & Community Health
Output from project: 2013_002 (SLS), 0301598 (ONS LS)
© 2026 CALLS Hub - Mtc - SMA Login Contact - Output Login
| Cookie | Duration | Description |
|---|---|---|
| cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
| cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
| cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
| cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
| cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
| viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
| Cookie | Duration | Description |
|---|---|---|
| __utma | 2 years | Used to distinguish users and sessions. The cookie is created when the javascript library executes and no existing __utma cookies exists. The cookie is updated every time data is sent to Google Analytics. |
| __utmb | 30 minutes | Used to determine new sessions/visits. The cookie is created when the javascript library executes and no existing __utmb cookies exists. The cookie is updated every time data is sent to Google Analytics. |
| __utmc | Not used in ga.js. Set for interoperability with urchin.js. Historically, this cookie operated in conjunction with the __utmb cookie to determine whether the user was in a new session/visit. | |
| __utmt | 10 minutes | Used to throttle request rate. |
| __utmz | 6 months | Stores the traffic source or campaign that explains how the user reached your site. The cookie is created when the javascript library executes and is updated every time data is sent to Google Analytics. |
| _ga | 2 years | Used to distinguish users. |
| _gat | 1 minute | Used to throttle request rate. |
| _gid | 24 hours | Used to distinguish users. |