Sleep and Health Flashcards
Sleep as a pillar of health:
1- a trend of?
2- what has been found for those sleeping less than 8 hours?
3- short and long sleepers finding?
1- A trend of sleeping fewer hours than the recommended
2- Prospective studies have reported a higher risk for cardiovascular events, metabolic disease and obesity in those sleeping less than 8 and those sleeping more than 9 hours (Ayas et a, 2003)
3- Prospective study in the UK found increased risk for cardiovascular problems in short and long sleepers even if they took into consideration existing problems (Ferrie et al 2007)
Systematic Review and Meta-analysis by Gallicchio and Kalesan (2009) finding
Analysed 23 prospective studies that examined the association between sleep duration and all-cause and/or specific mortality
- In both men and women , there was an increased risk in short and long sleepers for all-cause mortality compared to those who slept 7-8h
- Specific risk for cardiovascular disease and cancer
Sleep, Morbidity and Mortality(Kallicchio and Kalesan, 2009)
There is a moderate increased risk for short and long sleepers compared to those who are sleeping 7-8 hours
U shaped relationship between time we spend asleep and the risk factor associated with it
Sleep and Obesity:
- what is a risk factor for obesity in children and adults?
- UCLA Energetics Study (2014)
- Using self-reports in 223 adults between 21-69y
- Asked questions about their sleep and measured calories indirectly (using double-labelled water which measures CO2 expenditure)
- Only 12 responses of less then 5 hours of sleep and only 4 responses for more than 10 so these were combined with 6 and 9 respectively, in a cross-sectional study
- Objective measures for calories but subjective measures for sleep
The Association between sleep duration with BMI, Sleep, Energy Intake and Physical Activity
Patterson et al, 2014
Higher BMI is found in those that are sleeping fewer hours than those 7-8 hours
Same for energy intake- people sleeping less were taking in more calories
Physical activity was not significant
Those who are under-sleeping or oversleeping can suffer from morbidity, increased risk of dying. People who sleep less are more likely to consume more food
1- what is poor sleep associated with?
2- what are behaviours which contribute to obesity?
3- implication of those who sleep sufficiently?
4- Eve Van Cauter (U Chicago) suggested?
5- what do studies provide strong evidence in support of?
1- Poor sleep is associated with greater morbidity and mortality
2- Behaviours that contribute to obesity are modifiable: sedentary lifestyle, overeating or poor diet, and delayed meal patterns
3- Those who sleep sufficiently, tend to be physically more active and have better diet
4- Eve Van Cauter (U Chicago) suggested that the current obesity epidemic may be due to sleep deprivation as well as the increased consumption of sugar, as 40% of American adults are considered obese
5- Studies provide strong evidence in support of the role of sleep in body-weight regulation
What are the mechanisms that can account for sleep and obesity findings?
Mostly focused on leptin and ghrelin although not always consistent findings
— Leptin – an anorexigenic signal released from adipocytes. Hormone produced by adipose tissue. Making us not eat. Reduced when we don’t sleep well.
— Ghrelin- an orexigenic signal released from the stomach. Tells us we should eat. Increases when sleeping.
- Short sleepers (5h/night) secrete lower leptin and higher ghrelin than normal sleepers (8h/night) (also correlated with reports of hunger and appetite)
- Neuroimaging studies also find greater activation of regions involved in reward such as the nucleus accumbens, insula etc
Meal Timing:
1- Does it matter when we eat?
2- when is sleep most efficient?
3- who are most susceptible to weight gain and obesity?
4- example
1- Timing of sleep can affect our risk for obesity
2- Most efficient sleep when conducted in sync with the circadian rhythm
3- Adolescents and adults with a delayed rhythm are more susceptible to weight gain and obesity.
4- Freshmen college students who were evening types gained sig more weight over an 8-week period compared to morning types.
- Severely obese adults undergoing bariatric surgery, evening types weighed more before surgery, lost less weight after surgery and regained more weight at follow-up
1- what have delayed meal times also been linked to?
2- what may impact when we eat- findings of when this has been impacted
1- Delayed meal-times have also been linked to increases in BW– even when the total calories are the same, it makes a difference if consumed early in the day vs later in the day
2- Sleep duration may impact when we eat – when bedtime was delayed in a sleep-restriction study (4h total time in bed x 5 nights), participants took 500+ calories during the late-night hours when they were kept awake instead of going to bed (10pm-4am) and fewer calories (~100) the next morning (8am-3pm).
- This led to a shift in the timing of caloric intake depending on sleep. Those in the non-restricted sleep group ate mostly before 3pm and those in the sleep-restricted group ate mostly after 3pm
- The food consumed late at night (10pm-4am) was correlated with the weight gained and was higher in fat (may have greater impact on body weight) (Spaeth et al, 2015)
Fonken et al. (2010) study on circadian disruption and body weight
Findings
Both bright light (LL) / dim light (DM) increased body mass and reduced glucose tolerance despite equivalent caloric intake and activity levels.
Animals in DM conditions consumed most of their food during the light phase instead of the dark phase (55% for DM vs 35% for LD)
This was prevented if feeding was restricted only duringthe active phase of the DM
Sleep and diabetes:
1- what is secreted, why, function
2- restricted sleep and diabetes
- findings
1- Insulin is secreted when glucose levels rise, in order for the liver, muscle and fat cells to absorb the excess glucose from the blood and convert it to glycogen or fat, for longer term use
2- When sleep is restricted, to only 4 hours of sleep for 5 nights, healthy college students began to look pre-diabetic (Spiegel, Leproult and Van Cauter, (1999) The Lancet)
- The rate in which their bodies cleared glucose from their blood dropped by 40% compared to controls (getting 8h of sleep a night)
- After an acute administration of insulin their bodies’ response was similar to that seen with aging or in pregnancy-related diabetes
Mimicking shift-work in animals (Salgado-Delgado et al 2008)
how / findings
- Motivating animals to be active during their rest phase by slowly rotating drums to force activity (‘forced work’) for 5 days/week
- Revealed internal desynchronization at the metabolic and behavioural level:
– Ate less during their active phase
– Less active during their active phase
– Gained more weight under these conditions by the 4th week
Salgado-Delgado et al. (2008)
Activity results
1) had a few days of baseline (which showed a big difference between their activity levels during the light phase and during the dark phase)
2) time off work showed - they tend to be active more equally during the day time and night time. SO their circadian rhythms have been disrupted.
Salgado-Delgado et al. (2008)
Mean food intake in control animals, work during the sleep phase (W-SP) and work during the active phase (W-AP)
- In control conditions they are eating more during the night (dark bars are significantly higher)
- When they are working during their sleep phase it is kind of reversed. Their food intake decreases when they go to work. This changed their glucose levels.
The Effects of Feeding during the Light or Dark Phase:
What did Arble et al. (2009) and Adamovich et al. (2014) find?
Arble et al 2009: Mice fed with a high-fat diet only during the 12-h light phase gained significantly more weight than mice fed only during the 12-h dark phase.
Adamovich et al 2014: Night-restricted feeding leads to reductions in triglyceride levels in mice
At baseline started off with the same body weight but animals who slept during rest phase gained more weight even though the food was the same
factors considered for eating patterns in humans?
- Assumption that we generally eat 3 meals per day
- Focus on calories in and calories out monitoring to control body weight and associated health issues
Gill & Panda (2015)
study and findings
- Asked people to take a picture of what they’re eating/ drinking and send it
- They did a baseline eating pattern to get this information for 3 weeks
- findings: people do not really consume three meals per day as we thought. They found erratic daily eating patterns spread over day and night. Weekend eating patterns delayed from weekdays. There is a lot of variation and it is not consistent.
- Then they took a number of overweight individuals and decided to restrict the time they would eat (10-12h every day). They gave feedback through Feedograms. No recommendation on nutrition or calories.
- findings: weight loss; improved sleep
Gill & Panda (2015)
- baseline (3 wks) - 8 subjects with >14h eating duration and BMI >25 - intervention (16 wks) - no monitoring (36 wks)
- eating behaviour (caloric containing eating duration). For the 16 week intervention the bars are shorter so they’re eating food in a smaller period throughout the day.
- overall there was a decrease in body weight after 16 weeks and then after a year of follow up
- decrease in body weight after the intervention
- subjective score of how energetic they feel (in morning, overall, ect…) They felt more energetic in the morning when they were on this restrictive feeding pattern. They had more energy overall, hunger at bed time dropped and sleep satisfaction was higher.
sum- improved eating patterns reduced body weight in healthy overweight individuals
The Effects of Time-Restricted Feeding
Zarrinpar, Chaix & Panda, 2016
Time-restricted feeding is beneficial for our health and body weight
Animals are becoming obese and they are disrupting all bacteria in their gut and it leads to many diseases.
Eating in active phase is associated with many benefits
Sleep and cardiovascular health:
Hoevenaar-Blom et al. (2011) study and findings
Sleep Duration: Those who slept ≤6 hours had a 15% higher risk of CV disease (CVD) incidence and a 23% higher risk of Coronary Heart Disease (CHD) incidence compared to people who slept 7-8 hours.
Sleep quality: Those with short sleep duration and poor subjective sleep had a 63% higher risk of CVD and 79% higher risk of CHD than those with normal sleep duration and good sleep quality
*FYI: Whitehall II study in London followed people for ~years