biological rhythms - circadian rhythms Flashcards

1
Q

what are biological rhythms governed by

A
  • endogenous pacemakers (internal biolocgical ‘clocks’)
  • exogenous zeitgebers (external changes in environment)
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2
Q

how long do circadian rhythms last

A

around 24 hours

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3
Q

examples of circadian rhythms

A

eg. sleep/wake cycle, core body temperature

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4
Q

describe the sleep/wake cycle

A
  • effect of day light = important exogenous zeitgeber & can reset the SCN
  • governed by endogenous pacemaker = suprachiasmatic nucleus (SCN)
  • SCN sits just above optic chiasm providing info from eye about light
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5
Q

outline siffre’s cave study

A
  • spent several extended periods of time underground in caves
  • deprived of natural light/sound but access to food/drink
  • resurfaced in mid september (1962) after 2 months in caves in southern alps thinking it was mid-august
  • ‘free-running’ biological rhythm settled to one just beyond 24 hours (roughly 25 hours) though fell asleep & woke up on regular schedule
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6
Q

outline study by aschoff & wever (1976)

A
  • group of participants spent 4 weeks in WW2 bunker deprived of natural light
  • all but 1 participant displayed circadian rhythm between 24-25 hours
  • suggests (alongside siffre) that sleep/wake cycle may be slightly longer than 24 hours but it’s
    entrained by exogenous zeitgebers associated with 24-hour day
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7
Q

research on sleep/wake cycle (circadian rhythm)

A
  • siffre
  • aschoff & wever (1976)
  • folkard et al. (1985)
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8
Q

outline study by folkard et al. (1985)

A
  • studied 12 people who lived in dark cave for 3 weeks, retiring to bed when clock said 11.45pm & woke when it said 7.45am
  • researchers slowly sped up clock so a believed 24 hour day became 22 hours
  • only 1 participant could comfortably adjust
  • suggests existence of strong free-running circadian rhythm which cannot be easily overridden by exogenous zeitgebers
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9
Q

AO3 +) research providing understanding of adverse consequence when circadian rhythms are disrupted (desynchronisation)
-) studies investigating effects of shift work often use correlational methods

A

E:
- boivin et al. (1996) found night workers who engaged in shift work experienced a period of reduced concentration around 6am (circadian trough) meaning mistakes/accidents were more likely
- research also showed relationship between shift work/poor health - shift workers 3x more likely to develop heart disease than those with typical work patterns (knutsson 2003)

T: shows research into sleep/wake cycle may have real-world economic implications to best manage worker
productivity

HOWEVER: studies investigating effects of shift work often use correlational methods
- difficult to establish whether desynchronisation of sleep/wake cycle is cause of negative effects
- solomon (1993) concluded high divorce rates in shift workers may be due to strain of deprived sleep & other influences (eg. missing out on family events)
T: suggests it may not be biological factors which create adverse consequences associated with shift work

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10
Q

AO3 +) research into circadian rhythms has been used to improve medical treatments

A
  • circadian rhythms coordinate many basic bodily processes (eg. heart rate, digestion) which rise & fall during course of day
  • this led to field of chronotherapeutics
  • eg. aspirin (treat heart attacks) is most effective when taking last thing at night as reduces blood platelet activity which reduces risk of heart attack & heart attacks most likely to happen in the morning
  • supported by bonten et al. (2015)

T: shows circadian rhythm research can help increase effectiveness of drug treatment

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11
Q

AO3 -) generalisations are difficult to make from research

A
  • studies use small samples of participant & sleep/wake cycles may vary between people
  • czeisler et al. (1999) found individual differences in sleep/wake cycles varying 13-65 hours
  • duffy et al. (2001) revealed some people have natural preference for sleeping early/rising early (‘larks’) & vice
    versa (‘owls’)

T: means it is difficult to use research data to discuss anything more than averages due to individual
differences

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