Richard Rahe, J L Mahan & R J Arthur 1970
AIMS: During the 1950s many studies indicated a relationship between stress and poor
health. One of the most important of these was the 1958 study by Ray Rosenman & Meyer
Friedman which found a link between the kind of stress experienced by ‘Type A’ personalities
and coronary heart disease -
Rahe, Mahan & Arthur were more interested in environmental factors which caused stress to the point of illness, rather than temperament.
The idea of ‘life events’ causing stress to the point of illness had begun in 1919
with the ‘life chart’ work of Adolph Meyer. His work became the foundation for the
Schedule of Recent Events (SRE) developed by David Hawkins, R Davies & Thomas Holmes
(1957); this looked at the cumulative effect of life events in causing stress. In
1967 Holmes & Rahe added the idea of the magnitude of different life events -
Most studies into the relationship between stress and illness in the 1950s and 1960s
-
Rahe, Mahan & Arthur wanted to conduct a prospective study -
Thus, the researchers’ aim was to test whether participants who scored highly on
the SRRS would become ill -
PROCEDURE (METHOD): 2,684 American naval men of varying ranks were asked to complete
an SRRS specially customised for navy personnel The questionnaire was used to assess
the stressful life events each man had experienced over 4 consecutive 6-
The sample represented 90-
The ships were on 6 months active duty and 2 of them were on military missions off the coast of Vietnam.
On board any illness, no matter how trivial, had to be recorded by the ship’s medical
facility. When the data on health was analysed, any sickness believed to be motivated
by a desire to avoid work was discarded -
Neither the participants themselves nor the ship’s medical facilities knew their health records were going to be used in this way.
FINDINGS (RESULTS): The only significant correlation found -
Overall totals were calculated by putting participants in order of highest to lowest LCU and dividing the list into 10 bands (each 1/10 of the ship’s crew). When divided up in this way, 2 of the ships showed large differences but one was not so great. So the data for all 3 vessels were combined which obscured the variations between the third ship and the others. The only big differences then were at each end of the scale. To overcome this, the grouping was changed, combining some of the 10 bands to make 4 bigger groups.
The final stage of analysis was to re-
|
Event |
|
Points |
|
1 |
Death of spouse |
100 |
|
2 |
Divorce |
73 |
|
3 |
Marital separation |
65 |
|
4 |
Prison term |
63 |
|
5 |
Death of close family member |
63 |
|
6 |
Personal injury or illness |
53 |
|
7 |
Marriage |
50 |
|
8 |
Fired at work |
47 |
|
9 |
Martial reconciliation |
45 |
|
10 |
Retirement |
45 |
|
11 |
Change in health of family member |
44 |
|
12 |
Pregnancy |
40 |
|
13 |
Sex difficulties |
39 |
|
14 |
Gain of new family member |
39 |
|
15 |
Business readjustment |
39 |
|
16 |
Change in financial state |
38 |
|
17 |
Death of close friend |
37 |
|
18 |
Change to different line of work |
36 |
|
19 |
Change in number of arguments with spouse |
35 |
|
20 |
A large mortgage or loan |
30 |
|
21 |
Foreclosure of mortgage or loan |
30 |
|
22 |
Change in responsibilites at work |
29 |
|
23 |
Son or daughter leaving home |
29 |
|
24 |
Trouble with in- |
29 |
|
25 |
Outstanding personal achievement |
28 |
|
26 |
Spouse begins or stops work |
26 |
|
27 |
Begin or end school or college |
26 |
|
28 |
Change in living conditions |
25 |
|
29 |
Change in personal habits |
24 |
|
30 |
Trouble with the boss |
23 |
|
31 |
Change in work hours or conditions |
20 |
|
32 |
Change in residence |
20 |
|
33 |
Change in school or college |
20 |
|
34 |
Change in recreation |
19 |
|
35 |
Change in church activities |
19 |
|
36 |
Change in social activities |
18 |
|
37 |
A moderate mortgage or loan |
17 |
|
38 |
Change in sleeping habits |
16 |
|
39 |
Change in number of family get- |
15 |
|
40 |
Change in eating habits |
15 |
|
41 |
Holiday |
13 |
|
42 |
Christmas |
12 |
|
43 |
Mionor violations of the law |
11 |
The standard Social Readjustment Rating Scale
|
LCU band |
Mean illness rate |
|
1 |
1.434 |
|
2 |
1.377 |
|
3 |
1.583 |
|
4 |
1.543 |
|
5 |
1.498 |
|
6 |
1.685 |
|
7 |
1.651 |
|
8 |
1.693 |
|
9 |
2.083 |
|
10 |
2.049 |
|
LCU bands grouped |
Mean illness rate |
|
1 & 2 |
1.405 |
|
3, 4 & 5 |
1.541 |
|
6, 7 & 8 |
1.676 |
|
9 & 10 |
2.066 |
relationship between exposure to life events and ill health.
The 2 ships judged to have the easiest missions showed the strongest relationships
between LCU totals and mean illness rates. It was considered possible that the current
stress levels on the third ship may have nullified the effects of pre-
CONCLUSIONS: Rahe et al concluded that there was a link between the higher LCUs from
the 6 months prior to departure and higher illness rates on board ship. When the
pre-
Additionally, the link was stronger for older men (over 21s) and married men.
CRITICISMS (EVALUATION): The study had a number of strengths:-
However, the study also has a number of weaknesses:-
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