posted on 2018-01-26, 17:49authored byThomas Yates, Kishan Bakrania, Francesco Zaccardi, Nafeesa N. Dhalwani, Mark Hamer, Melanie J. Davies, Kamlesh Khunti
Intelligence has previously been associated with mortality, although it is unclear whether the inverse association is independent of other related cognitive factors, such as information processing, or of measures related to physical health, such as cardiorespiratory fitness. We investigate whether fluid intelligence, reaction time and cardiorespiratory fitness are independently associated with mortality within the general population. UK Biobank recruited adults across England, Scotland and Wales, between March 2006 and July 2010: 54,019 participants (women 52%) with complete data were included in the analysis. Those who died in the first year of follow-up (n = 58) were excluded. Fluid intelligence was measured as the number of correct answers during a two minute logic/reasoning-test, reaction time was measured as average time taken to respond to matching symbols on a computer screen and cardiorespiratory fitness was measured through a sub-maximal exercise test. Associations with mortality were assessed by Cox-proportional hazard models adjusted for age, sex, ethnicity, social deprivation, cancer and non-cancer illnesses, medications, employment, education, smoking, BMI, diet, sleep, and physical activity. Over 5.8 years of follow-up, there were 779 deaths. Higher intelligence (hazard ratio [HR] per SD = 0.91; 95% CI 0.84, 0.99), faster reaction time (HR per SD = 0.92; 0.85, 0.98) and higher fitness (HR per SD = 0.85; 0.78, 0.93) were associated with a lower risk of mortality after adjustment for each other and other covariates. No interaction was observed between fluid intelligence and reaction time (p = 0.147) or between fluid intelligence and cardiorespiratory fitness (p = 0.238). In conclusion, fluid intelligence, reaction time and cardiorespiratory fitness were independently associated with mortality.
Funding
This work was supported by the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, Leicester, UK (TY, MH and MD) and the NIHR Collaboration for Leadership in Applied Health Research and Care – East Midlands (KK). FZ is a Clinical Research Fellow funded with an unrestricted Educational Grant to the University of Leicester from Sanofi-Aventis; the funding source had no role in study design, data collection, data analysis, data interpretation or writing of the report. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
History
Citation
Intelligence, 2018, 66, pp. 79-83 (5)
Author affiliation
/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Diabetes Research Centre
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