4. Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in this study? Is this t ratio significant? Provide a rationale for your answer.
4. Examine the t ratios in table VI. Which t ratio indicates the largest difference between male and females post MI in this study? Is this t ratio significant? Provide a rationale for your answer.
Both values are normal because they are between the normal ranges: for males between 42-52% and for females between 42-47%. 2. Describe the difference between the hematocrits for the male and female living in Boston. Why does this difference between the sexes exist? The difference in the hematocrits level is perfectly normal because males usually have higher hematocrit levels than females.
Additionally, these figures may be this high, due to women being more likely to go to the doctor when there is something wrong with their health, whereas men will put off going to the doctors. The graph below, taken from The Daily Mail, shows ‘The Percentage of Population Using Mental Health Medication’ in America, which supports the argument that women are more likely to develop a mental health disorder compared to men. P3 P3 P3 P3 Those who are in a higher social status or social class, tend to live longer than those who are in the working class, or lower class. According to Equality Human Rights (2014), chapter 6 states that ‘Men in the highest socio-economic class can expect to live around 7 years longer than men in the lower groups. For women, the gap is the same.’ An argument for this set of statistics may be that those in a high social class can afford private healthcare, therefore having access to top medical
The differences between males and females seems to be due to gender or social factors. The difference would be greater if women did not have a high incidence of cancers of the breast, cervix and uterus (Scambler, 1997). Main changes. Child bearing patterns have changed so that women have fewer children further apart and the medical care for pregnant women has improved. In the UK and USA the number of live births has decreased from 5 per woman in the 1880’s to 2 in the 2000’s.
For example, De Longis studied stress in 75 married couples. They gave participants a life events questionnaire and a hassle and uplifts scale. They found no relationship between life events and health, but did find a positive correlation of +.59 between daily hassles and next-day health problems such as flu, sore throats, headaches and backaches. This therefore suggests that life events are not necessarily a good predictor of health related behaviour and daily hassles may provide a more adequate account. Most of the studies on life events and illness have produced correlation data.
It is significant to ethnicities because they tend to be working class and in lower income families. For example, Pakistanis and Bangladeshis are over three times more likely than whites to be in the poorest fifth of the population. Also, unemployment is three times higher. These explain why Bangladeshi and Pakistani pupils tend to underachieve compared to white and Indian pupils as they face higher levels of poverty. This is supported by the Swann Report which suggests that social class accounts for at least 50% of achievement differences.
QUESTIONS Choose the single best answer for each question. 1. Which of the following statements regarding the epidemiology of essential (primary) hypertension in the United States is correct? A) Mexican American women have a higher prevalence of essential hypertension than do Mexican American men B) More women than men have essential hypertension C) Non-Hispanic black adults have a lower prevalence of essential hypertension than do Mexican American adults D) Non-Hispanic white men have the lowest prevalence of essential hypertension E) The overall prevalence of essential hypertension in Americans is approximately 20% 2. Which of the following statements about the causes of secondary hypertension is NOT true?
Suicide rates are higher in the divorced and widowed than in single people, who in turn have higher suicide rates than married people. This protective effect of marriage on suicide is stronger for men than for women, although it is found for both men and women (Gove 1972). The strong association of divorce with suicide is found at the societal level as well as at the individual level. For example, nations with higher divorce rates have higher suicide rates, U.S. states with higher divorce rates have higher suicide rates and, within nations, years with higher divorce rates have higher suicide rates. This association is probably the most robust association found in suicidology.
This may represent an ageist bias within psychology and psychiatry. It has been hypothesized that the large number of women seeking psychological support may be a consequence of increased social stress on the older woman. Larson (1978) indicates that subjective well-being is most influenced by environmental factors. The factors having the greatest influence on well-being are hypothesized to be health and socioeconomic status. In 1990, 50 percent of White women had incomes below 646 per month, African-American women had incomes below 419 per month, and Hispanic women had incomes below 426 per month.