sex + gender Flashcards

1
Q

define sex

A

BIOLOGICAL categories of Male female. XX, XY - 20ary characteristics

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2
Q

define gender

A

social categories of masculine, feminine. social expectations. SOCIAL. vary across time + culture

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3
Q

3 health measures. define

A

mortality = death
morbidity = living w illness - related: prevalence, incidence
health care utilization: rate of use of HC

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4
Q

Mortality trend btw sex

A

at every age, risk for mortality is higher among males than females

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5
Q

life expectancy -define

A

average # of years to be lived by group of ppl born in same year.

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6
Q

sex + gender diff in high income countries? low income countries? historical success?

A

high income: age gap btw is ~1/2 years. Female consistently higher life expectancy than men
low income: greater age gap: ~10 years.
historically, first time no life expectancy is below 50.

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7
Q

what could contribute to women life expectancy increasing above men?
what now contributes to low life expectancy?

A

AIDS - prevalence decreasing bc treatment therefore ^ ife expect.
women more vulnerable to AIDS. now, what contributes to low life expectancy = war, corruption, poverty.

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8
Q

income of country related life expectancy by gender + age gap.

A

greater income = greater life expectancy in both M+F. w higher income F increase life expect much more. good economy = good for women.

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9
Q

gender gaps across countries

A

largest age/LE gap in central + eastern europe. women more respected? biologically healthier - live longer?

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10
Q

smaller gender gap in LE in less developed countries?

A
  • being female has little to no value. lack legal status; property of man; prohibited from bank, property.
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11
Q

3 reasons why women are of low value in less developed coutnries

A
  1. lack legal status: property of man, prohibited from money/bank. + cant own property.
  2. son preference
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12
Q

3 reasons why women are of low value in less developed coutnries

A
  1. lack legal status: property of man, prohibited from money/bank. + cant own property.
  2. son preference: sons bring in resources, daughter = loss of resource bc she goes to man’s family. son = given more resources when being raised..
  3. lack power in relationships. polygamy; unsafe sex; rape and domestic violence. can’t refuse sex; widows don’t get choice in marrying, don’t get property after husband dies.
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13
Q

cause-specific mortality : lung cancer. M vs W.
general

over time

A

incidence: M develop> W develop
mortality: M die > W die.

over time: W rate of death increased as norm for W to smoke grew. still behind men, but closer.

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14
Q

morbidity in Canada

A

mood disorders; injuries; disability =W not always sicker

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15
Q

morbidity: mood disorders

A

F more susceptible than M. thru age, prevalence increases and peaks at age 45-64, then decreases again.

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16
Q

morbidity: injury

A

thru younger years M risk > F risk. more risky, occuption more likely to lead to injury.
BUT, at 80+ F no longer has protective E = biological risk for injury.

17
Q

morbidity: prevalence of disability by age

A

increase w age. consistently greater in F after age 25.

18
Q

trends in utilization of HC by age

ex: stay overnight by age

A

W = more visits to doc than M. more W have regular medical doc than M.
* W = child-bearers. need check-ups more frequently, ensure pregnancy is going ok.
W consistently higher in # of stays in hospital overnight. CHILD-BEARERS

19
Q

2 risks in gender differences

A
  1. biological

2. acquired

20
Q

biological risk in gender difference?

A

differential vulnerability - hormones (protective, without = no pretection). AIDS (sex act = women have more tissue exposure + simply more likely to get HIV). pregnancy + childbirth (some countries dont have access to food + nutrients to contribute to safe pregnancy. no knowledge on dealing w maternal issues.)

21
Q

acquired risk of gender diff in health?

– alcohol?

A

social norms that regulate behaviour: men = more risky, more violent, more physical = higher risk of injury.
– alcohol: higher alcohol consumption = higher gender gap. men life expect < w life expect. . but changing patterns = more W drinking. gender gap may close. also, biological increase susceptibility to effect of alochol for women = potentially more deaths. + opioid crisis = overall LE decline.