quiz #2 Flashcards

chapter 4 overview

1
Q

preventable death

A

a death that could be avoided through changes in behavior

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2
Q

non-preventable death

A

a death that occurs due to factors beyond one’s control (genetics, accidents)

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3
Q

life expectancy

A

statistical measure indicating the average number of years a person can expect to live based on current mortality rates.
> insight into overall health and well-being of populations

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4
Q

premature death

A

death that occurs earlier than the expected age of mortality, often due to preventable health conditions
ex: cvd, type II, certain cancer, obesity related

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5
Q

behavioral risk factors

A
  1. diet
  2. smoking
  3. alcohol use
  4. physical inactivity
  5. unsafe sex
  6. drug use
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6
Q

strength of evidence

A

-role of chance
p > 0.05 association is non-significant (risk factor and outcome are likely due to chance)
p< 0.05 association is significant ( risk factor and outcome highly unlikely to be due to chance

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7
Q

temporal sequence

A

risk factor comes before outcome
ex: prospective cohort studies

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8
Q

strength of association

A
  • studies report significant (p <0.05) associations
  • meta analyses report risk reductions for all-cause mortality 31% for those who are physically active
  • many studies, if not all, adjusted for important variables that might influence both PA and mortality
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9
Q

consistency of results

A

many studies reported similar findings across different PA measurements and different populations (men and women)

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10
Q

biological plausibility

A

risk factors and causes of mortality that we discussed - PA can influence those
- low PA contributes to top causes of death, such as heart disease & cancer

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11
Q

dose response

A
  • many studies showed graphs with an inverse dose-response relationship ( > PA <mortality)
  • curvilinear meaning the slope is likely steep going from no PA to low/mod PA
  • currently consensus is 2-2.5 mod PA will reduce the risk of ACM
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12
Q

Nurses’ Health Study

A

classification: PA assessment based on Hrs/wk (volume)
Findings: mortality risk reduction tapered after approximately two hours/ week of PA
Indicated diminishing returns beyond this point but still beneficial overall.
- clear negatively accelerating decrease in relative risk of dying associated with increased hours spent in PA

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13
Q

Harvard Alumni Health Study (1986)

A

classifications: PA assessment quantified volume; daily stairs, blocks walked, type of sports etc
- total energy expenditure estimated in kilocalories per week
Findings:
1. Comparison of mortality rates across volume of physical activity
- all cause death rates showed a steady decline across increasing categories of weekly energy expenditure
- more volume of PA = better
2. life expectancy gains
- were observed in active men compared with inactive men
- greater in younger populations

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14
Q

Harvard alumni health study 1995

A

PA assessment: focused on vigorous intensity
- vig > 6mets
- non < 6 mets
Findings: significant inverse dose- response relationship between vigorous activities and all-cause mortality
- non-vigorous activities showed no relationship with all-cause mortality
- possibly due to imprecise reporting of non-vigorous activities

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15
Q

Harvard alumni health study 2000

A

PA assessment: focused on moderate intensity
light < 4met
mod 4-5.9 met
vig > 6met
Findings:
light intensity: no association with all-cause mortality
Moderate: trends were observed towards decreased ACM
Vigorous: a clear inverse association was also observed with ACM

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16
Q

aerobics center longitudinal study (8-year follow up)

A

PA components: cardiorespiratory fitness and changes (f/m) follow ups
Findings:
- greatest risk reductions were seen between the bottom fitness quintile and the next 20% of fitness
> least fit men had MR 3x higher
> least fit women had MR 4.65x higher

17
Q

ACLS ( 5-year follow up)

A

findings: regardless of BMI, unfit group had a significantly greater risk of ACM compared to fit
3 groups based on fitness changes: 1 exam > 2 exam
findings:
lowest MR: observed in men who were fit at both
Highest MR: observed in men who were unfit at both
1. Fit at both vs. unfit at both
- RR = 0.33,
2. Unfit to fit
- RR = 0.52
Dose Response: for every minute increase in treadmill time ( approx 1 MET increase) between examinations, MR was reduced by nearly 8%

18
Q

males vs females

A

females (81) have a higher life expectancy than males (76)

19
Q

USA standings

A

USA is ranked in the 50s globally for life expectancy
males at 53rd
females at 51st

20
Q

metabolic risk factors

A

high systolic blood pressure, high fasting blood glucose, high BMI, high low-density cholesterol, low bone mineral density