A Study of Women Farmers' Obesity
10.2185/jjrm.32.144
- VernacularTitle:婦人農業従事者の肥満に関する研究
- Author:
Fumiyoshi Yanagisawa
;
Hiroko Kurihara
- Publication Type:Journal Article
- From:Journal of the Japanese Association of Rural Medicine
1983;32(2):144-151
- CountryJapan
- Language:Japanese
-
Abstract:
We have taken measurements of skinfold thickness in the 10 regions of the body of the adult farmers. The regions were cheek, submandibular region, upper arm, scapular region, abdomen, side, femoral region, waist and calf. Included in this study were 148 men and 150 women.
A summary of the results is as follows:
1. The average skinfold thickness in each of the 10 regions was larger in women than in men. Subcutaneous fat was the thickest in the abdomen, followed by the scapular region and the cheek, irrespective of sex.
2. The average reading by age and sex in each of the regions also indicated that there is little variation in the case of men. Only in the abdomen and the waist, measurements slightly decreased with aging. However, in the case of women aged 70, the thickness readings went up with aging. Women in their 70s showed a decreasing tendency.
3. When those examined are broken down into the persons of the pyknic type and the persons of the leptosome type, the average thickness value in each of the 10 regions reveals that the leptosome-type persons, regardless of sex, have subcutaneous fat deposited evenly throughout the body. By contrast, men of the pyknic type have subcutaneous fat accumulated mainly in the abdominal region and women of the pyknic type in the scapular region, abdomen and upper arms.
4, Correlation between total skin thickness and region-wise skinfold thickness was higher in the sum of values for two regions than in values for any single region. In men, the scapular region+ abdominal region values have higher correlation than the upper arm+the scapular region values.
5. From the above, it can be said, the scapular region + the abdominal region, rather than the upper arm + the scapular region, should be selected for the diagnosis of obesity.
