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KMID : 0365819760160020253
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Journal of Pusan Medical College
1976 Volume.16 No. 2 p.253 ~ p.262
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Evaluation of the Analysis of Curriculum in Nursing
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Abstract
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The author used the manifest anxiety scale of Taylor (MAS) as modified by Sugiyama and applied it in the study of 281 nonpregnant women and 487 pregnant women in the large city of Busan, other middle city, and village areas and obtained the following results:
1. The mean score of total anxieties among pregnant women (M=18.86) compared with the mean scorefor nonpregnant women (M=19.97) was somewhat less but there was a little difference (p<0. 10).
2. The degree of measured anxiety according to stage in the pregnancy period showed a mean score of M=20. 18 in the early stage and M=19.31 at the second stage of pregnancy. There was no significant difference (p>0. 10) when compared with nonpregnant women, but the mean score of anxiety degree during the last stage of pregnancy was 17.54 compared with nonpregnant women. This was extremely low and showed a significant difference (p<0.001).
3. The mean score of anxities among primigravidas (M=18.80) and multiparas (M=18.95) showed no significant difference and the living area made no significant difference. There was also no significant difference (p>0. 10) when compared with nonpregnant women.
4. In regard to the relationship between educational level and degree of anxiety, the degree of anxiety was highest among high school graduates in large and middle cities and highest among primary school graduates in the villages. There was no significant difference in pregnant women and nonpregnant women in regard to the influence of education.
5. In regard to the relationship between economic level and degree of-anxiety, the degree of anxiety was highest among those of the middle economic level (24.2%).
6. Labor pain and dystocia were the highest causes of fear during pregnancy (18. 56%) and these were followed in order by fear of a deformed child.
7. The results regarding the ideal number of children is as follows: 20-29 year age group one son and one daughter; 30-34 year age group two sons and one daughter. The number of sons wanted was higher among the older age group and the rural respondents.
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