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Cross-sectional and prospective associations between sleep duration and fruit/vegetable intakes in middle-aged UK women

Published online by Cambridge University Press:  05 October 2018

E.A. Noorwali
Affiliation:
School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, Saudi Arabia
L.J. Hardie
Affiliation:
LICAMM, School of Medicine, University of Leeds, Leeds, LS2 9JT, UK.
V.J. Burley
Affiliation:
School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK
J.E. Cade
Affiliation:
School of Food Science and Nutrition, University of Leeds, Leeds, LS2 9JT, UK
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2018 

Sleep duration among UK adults has been declining with 70 % of them sleeping <7 hours/day(1) and only 30 % of UK adults consume 5 portions per day of fruit and vegetables (FV)(Reference Bates2) which influence body weight and chronic disease risk(Reference Aune, Giovannucci and Boffetta3). Few studies have investigated the association between sleep duration and FV intakes. We therefore, assessed both cross-sectional and prospective associations between sleep duration and FV intakes in UK women.

Cross–sectional and prospective data were obtained from the UK Women's Cohort Study (UKWCS)(Reference Cade, Burley and Alwan4). Sleep duration was assessed by self-report of average hours slept and diet was assessed by a 4-day food diary at baseline and follow-up. Sleep duration was categorised as short (<7 h/d), reference (7–8 h/d) and long (>8 h/d). Regression analyses adjusting for age, socio-economic status, smoking, ethnicity and total energy intake were used for the analyses. Sleep duration was the exposure and FV intakes and their associated biomarkers (carotenoids, vitamin C and lycopene) were the outcomes. Restricted cubic spline (RCS) models were developed to explore potential non-linear associations.

In adjusted cross-sectional analyses (n = 11,522), there were no significant differences between reference sleepers (RS) and short sleepers (SS). However, long sleepers (LS) had on average 19 g/d (95 % CI −28 to −9, p < 0·001) less total FV compared to RS. In adjusted prospective analyses (n = 447), SS had on average 60 g/d (95 % CI −112 to −7, p = 0·02) less total FV in comparison to RS. No significant differences were shown between RS and LS in prospective analyses. There was no association between sleep duration and plasma biomarkers, although numbers were small (n = 140). RCS modelling showed that the cross-sectional (Figure 1.) (p < 0·001) and prospective (Figure 2.) (p = 0·001) associations between sleep duration and FV intakes were non-linear with women sleeping 7–8 h/d having the highest intakes compared to SS and LS. In conclusion, sleep duration was non-linearly associated with total FV intakes. These findings suggest an important link between sleep duration and FV consumption.

Black lines plot the predicted fruit and vegetable intakes with 95 % confidence interval (grey shaded area)

Fig. 1. Cross-sectional.

Black lines plot the predicted fruit and vegetable intakes with 95 % confidence interval (grey shaded area)

Fig. 2. Prospective.

E.A.N is in receipt of a scholarship from Umm Al-Qura University, Saudi Arabia.

References

1.The Sleep Council (2013) The Great British Bedtime report.Google Scholar
2.Bates, B et al. (2014) Public Health England Food Standards Agency.Google Scholar
3.Aune, D, Giovannucci, E, Boffetta, P et al. (2017) Int J Epidemiol 46, 10291056.Google Scholar
4.Cade, JE, Burley, VJ, Alwan, NA et al. (2015) Int J Epidemiol 46, 111.Google Scholar
Figure 0

Fig. 1. Cross-sectional.

Black lines plot the predicted fruit and vegetable intakes with 95 % confidence interval (grey shaded area)
Figure 1

Fig. 2. Prospective.

Black lines plot the predicted fruit and vegetable intakes with 95 % confidence interval (grey shaded area)