Inadequate sleep, occupation may contribute to increased CHD risk
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Inadequate sleep played a role in the association between adult occupational position and CHD more so in men than women, according to a study published in Cardiovascular Research.
Dusan Petrovic , graduate biologist and PhD candidate in epidemiology at the Institute of Social and Preventive Medicine at Centre Universitaire de Médecine Générale et Santé Publique in Lausanne, Switzerland, and colleagues analyzed data from 111,205 participants from eight European cohorts. A clinical examination and questionnaire were completed to collect data on health, demographic characteristics, medication, work, education, lifestyle and sleep characteristics.
Measures of socioeconomic status were determined by the father’s occupational position and last known adult occupational position. The CVD outcomes assessed in this study were CHD and stroke. CHD was defined as angina pectoris, ischemic artery disease or MI, and stroke was defined as hemorrhagic or ischemic stroke. Participants self-reported sleep duration as an average number of hours per night.
There was an inverse association between father’s occupational position and CHD in men (OR = 1.19; 95% CI, 1.04-1.37) and women (OR = 1.25; 95% CI, 1.02-1.55). This marginally decreased after adjusting for adult occupational position in men (OR = 1.17; 95% CI, 1.02-1.35) and women (OR = 1.22; 95% CI, 0.99-1.51). Short sleep duration did not mediate the effect on father’s occupational position and stroke.
A strong inverse association was also seen between adult occupational position and CHD in men (OR = 1.45; 95% CI, 1.13-1.86) and women (OR = 1.52; 95% CI, 1.07-2.11). Short sleep duration mediated 13.4% of this association in men. Both sexes did not exhibit a similar association for stroke in both sexes.
“Additional longitudinal analyses shall be conducted to further investigate the causal relationship between [socioeconomic status], sleep duration and CVD,” Petrovic and colleagues wrote. “Finally, the role of other sleep features, in particular sleep quality, shall further be investigated as potential confounders of the associations between [socioeconomic status], sleep duration and CVD.” – by Darlene Dobkowski
Disclosures: The authors report no relevant financial disclosures.
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