Teresa Arora BSc (Hons) MSc PhD CPsychol AFBPsS Zayed University Abu Dhabi Email: Teresa.Arora@zu.ac.ae
behaviour Teresa Arora BSc (Hons) MSc PhD CPsychol AFBPsS Zayed - - PowerPoint PPT Presentation
behaviour Teresa Arora BSc (Hons) MSc PhD CPsychol AFBPsS Zayed - - PowerPoint PPT Presentation
The association between sleep and feeding behaviour Teresa Arora BSc (Hons) MSc PhD CPsychol AFBPsS Zayed University Abu Dhabi Email: Teresa.Arora@zu.ac.ae Global prevalence of obesity Consequences & causes of obesity Introduction to
Overview
Global prevalence of obesity Consequences & causes of obesity Introduction to sleep Scientific evidence linking sleep and obesity Mechanisms Scientific evidence surrounding sleep and feeding Summary
https://ourworldindata.org/obesity
Consequences of obesity
- Individual & family
- Psychological
- Physiological
- Societal
- Employers
- Healthcare systems
- What are the causes?
Energy Balance Equation
Energy Intake
“It’s Easy”
Medications and Surgery - consequences Energy Expenditure Causes
Energy Balance Equation
Energy Intake
“It’s Easy”
Medications and Surgery
WHERE DOES SLEEP FIT IN TO THIS?
Energy Expenditure
Energy Balance Equation
Energy Intake
“It’s Easy”
Medications and Surgery
WHERE DOES SLEEP FIT IN TO THIS?
Energy Expenditure
SLEEP
Is sleep really important?
➢One third (adulthood); half (childhood) ➢Behaviour - all species/organisms ➢Cannot resist urge to sleep ➢Complex physiological process ➢Why do we need it?
The 90-minute Sleep Cycle
1: wake-sleep, rolling eyes (alpha waves) 2: light sleep, easily woken 3: deep sleep (SWS), muscles relax, breathing slows, confused if woken (delta waves) REM: brain activity, dreaming, paralysis, faster breathing, higher BP
Stage1
(5-10 mins)
Stage 2
(15 mins)
Stage 3
(45 mins)
REM
(20-25 mins)
1995
Obesity Trends Among U.S. Adults
2005 1990
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Is Is it ju just a coincidence?
Consequences of sleep deprivation
Where’s the evidence?
- 1992 first study to link sleep-obesity
- More than 500 published articles in 2011
- Currently >800 published studies
- Cross-sectional evidence
- Longitudinal evidence
- Experimental evidence
- Systematic reviews and meta-analyses
- Objective and subjective measures
Early longitudinal evidence (children)
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 <10.5 10.5-10.9 11-11.9 >12 Odds ratio Sleep duration (hours)
p<0.01
*
re ref
*
Reilly JJ, Armstrong J, Dorosty AR et al. Early life risk factors for obesity in childhood: cohort study. BMJ 2005;330:1357.
Sleep-obesity
- Midlands Adolescent Schools Sleep Education Study (MASSES)
- Aged 11-18 years, n=624
- Weekday sleep duration (hours) was negatively associated with
body mass index
Sleep, BMI and mortality
Kripke et al (2002)
Meta-analysis of sleep-obesity (adults)
Cappuccio et al. (2008)
Meta-analysis of sleep-obesity (children)
Cappuccio et al. (2008)
Sle leep duratio ion is is a predic ictor of f in incid ident dia iabetes
- Meta analysis – Shan et al (2015)
- Prospective studies only
- Pubmed & EMBASE
- 10 articles included
- 482,502 participants
- 18,443 incident cases (3.8%)
- Follow up period 2.5 – 16 years (median 7.5y)
The relationship between sleep duration and risk of type 2 diabetes
Zhilei Shan et al. Diabetes Care 2015;38:529-537
Pooled RR= 1.09 (1.04-1.15) for each 1-h <7h Pooled RR=1.14 (1.03-1.26) for each 1h >7h If you sleep too much or not enough then you increase your risk of developing diabetes
What are the mechanisms?
- Evidence for sleep-obesity link
- Prospective studies show consistent sleep impairment causes weight
gain
- How does this happen?
Ghrelin Ghrelin Ghrelin
Food Intake & Energy Metabolism
Stomach Adipose Tissue Leptin Hypothalamus Pituitary
Leptin is positively correlated with adipose tissue and signals satiety Obese patients are leptin resistant - eat more Ghrelin indicates hunger
Appetite regulating hormones
To maintain energy balance, leptin should be high and ghrelin should be low
All employees (aged 30-60 years)
- f four state agencies in south central
Wisconsin sent mailed survey Overnight sleep study protocol (n= 1,488, 51% response rate) Morning fasted blood sample added to protocol in 1995 (n= 1,024) Sleep diary added to protocol in 1995 (n=721)
Polysomnography:
- 1. Total sleep time (TST)
- 2. Sleep efficiency
- 3. Wake after sleep onset
(WASO) Questionnaire: Usual sleep Serum: Hormones and metabolites Sleep Diary:
- 1. Average nightly sleep
- 2. Average nightly sleep
plus naps Stratified random sample (n= 2,917)
Sample Data Collected
Taheri S, Lin L, Austin D, Young T, Mignot E. Short Sleep Duration Is Associated with Reduced Leptin, Elevated Ghrelin, and Increased Body Mass Index. PLoS Med. 2004;1(3):e62.
Results from Wisconsin Sleep Cohort Study
Spiegel, K. et. al. Ann Intern Med 2004;141:846-850
Pil ilot data on chronic sle leep reduction/extension
- Randomised to 30/60 minute condition (n=5)
- 4 weeks baseline
- 4 weeks sleep restriction
- 4 weeks ‘wash out’
- 4 weeks sleep extension
- Food intake measured
Cake consumption
20 40 60 80 100 120 140 1001 1004 1006 1002 1005 Grams Volunteer
Difference in cake consumption across 3 time-points
Visit 3 Visit 4 Visit 6
Experimental evidence – sle leep and feeding
- Randomised study
- Habitual sleep duration (8 nights) vs 2/3 habitual sleep duration (8 nights)
- SR group consumed +566 kcal/day (p=0.011)
- Sleep restriction not compensated with increased energy expenditure,
p=0.62
- How much weight could be gained with +566 kcal/day accountable for
sleeping less?
Calvin et al Effects of Experimental Sleep Restriction on Caloric Intake and Activity Energy Expenditure. Chest (2013)
100 kcals is:
100 kcals is: 1 chocolate biscuit ½ cup of milk 25g cheddar cheese 1 scoop of ice cream
100 kcals more than your body requires each day will result in:
100 kcals is: 1 chocolate biscuit ½ cup of milk 25g cheddar cheese 1 scoop of ice cream
100 kcals more than your body requires each day will result in: 5kg (11.5lbs) weight gain per year 25kg (4 stone) weight gain over 5 years
100kcals is: 1 chocolate biscuit ½ cup of milk 25g cheddar cheese 1 scoop of ice cream
Tiredness Reduced Activity Sleep Loss Low Leptin High Ghrelin Opportunity to Eat
- Hunger
- Food
Selection
- Energy
Expenditure OBESITY Increased Energy Dense Food Intake Other Hormones
Epworth Sleepiness Scale
- Use the following scale to choose the most appropriate number for
each situation:
- 0 = no chance of dozing; 1 = slight chance of dozing; 2 = moderate
chance of dozing; 3 = high chance of dozing
- SITUATION - CHANCE OF DOZING
- 1. Sitting and reading
- 2. Watching TV
- 3. Sitting inactive in a public place (e.g. a theatre, or a meeting)
- 4. As a passenger in a car for an hour without a break
- 5. Lying down to rest in the afternoon when circumstances permit
- 6. Sitting and talking to someone
- 7. Sitting quietly after a lunch
- 8. In a car, while stopped for a few minutes in traffic
Sleep hygiene education
- Avoid eating large or spicy meals late at night
- Avoid intense exercise 2-3 h before bed
- Avoid caffeine after midday
- Bath vs shower
- Limit bed for sleeping only
- Bedroom temperature
- No electronics in bedroom
- Consistent bedtime routine
- Consistent sleep-wake timings
- Lighting in bedroom (dark room)
- Lavender scent
- Avoid conflict, alcohol & smoking before bedtime
- Keep notepad next to bed
- Keep a sleep diary
- Daytime light exposure
Summary ry
- Global obesity is becoming more prevalent
- Old view focuses on energy balance equation
- Sleep is a third factor which needs to be assessed and addressed
- Sleep is unequivocally linked to obesity and type 2 diabetes
- Sleep impacts feeding behaviour resulting in excessive energy intake
- Sleep also alters appetite regulating hormones
- Patients should be asked about their sleep
- Telling someone to sleep more is easier for them vs dieting and exercise
- Sleep hygiene education can be given as a minimum to help
- Sleep is your super power
References
- Arora, T., Hosseini-Araghi, M., Bishop, J., Yao, G. L., Thomas, G. N., & Taheri, S. (2013). The
complexity of obesity in UK adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Pediatric Obesity, 8 (5), 358-366.
- Calvin et al. (2013). Effects of Experimental Sleep Restriction on Caloric Intake and Activity
Energy Expenditure. Chest, 144 (1), 79-86.
- Cappuccio, F. P., Taggart, F. M., Kandala, N. B., Currie, A., Peile, E., Stranges, S., & Miller, M. A.
(2008). Meta-analysis of short sleep duration and obesity in children and adults. Sleep, 31 (5), 619- 626.
- Chen, G. C., Liu, M. M., Chen, L. H., Xu, J. Y., Hidayat, K., Li, F. R., & Qin, L. Q. (2018).
Daytime napping and risk of type 2 diabetes: a meta-analysis of prospective studies. Sleep Breath, 22(3), 815-824.
- Kripke, D. F., Garfinkel, L., Wingard, D. L., Klauber, M. R., & Marler, M. R. (2002). Mortality
associated with sleep duration and insomnia. Arch Gen Psychiatry, 59 (2), 131-136.
- Reilly JJ, Armstrong J, Dorosty AR et al. (2005). Early life risk factors for obesity in childhood:
cohort study. BMJ; 330:1357.
- Shan, Z., Ma, H., Xie, M., Yan, P., Guo, Y., Bao, W., … Liu, L. (2015). Sleep duration and risk of
type 2 diabetes: a meta-analysis of prospective studies. Diabetes Care, 38(3), 529-537.
- Taheri S, Lin L, Austin D, Young T, Mignot E. Short Sleep Duration Is Associated with Reduced
Leptin, Elevated Ghrelin, and Increased Body Mass Index. PLoS Med. 2004;1(3):e62