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KMID : 0371019830160010059
Journal of Preventive Medicine and Public Health
1983 Volume.16 No. 1 p.59 ~ p.65
Study of Factors Affecting to Discrepancy between Self-Reported and Body Weight and Height

Abstract
Screening data from preplacement and periodic examination in !.Gu Mi Industrial Estate from May, 1983 to June, 1983 provide an opportunity to evaluate the accuracy of self-reported height and weight.


The data for men and women were analyzed separated for effects of age, marrital status, educational level, employment status, measured height, measured weight and relative weight (percent of ideal body weight).


The mean percent discrepancy from self-reported and measured height was analyzed by cross-tubulation, P.value for analysis of variance and multiple correlation analysis in mea and womea.


It is clear from the data that self-reported height and weigt differ from the quantities in systemic ways. But the magnitude of misreporting is very small on average except for -a-e-L ght is women.


Whereas height tend to be over-reported, weight is under-reported in women but over-reported in me-i.


Aveight was accuracte for age group 2029 years in men and age group over 40 year in women and over-reporting of weight increased with age in men and under-reporting of iveight decreased with age in women.


Weight was accurate in 6064kg group in mea and under 5G1g group in women and u_.-der-stating of weight increased with weight in men and women.


Weight was the most accurate in 100109 percent relative weight group in men and in 9099 percent relative weight group in women and under-stating of weight increased with relative weight and over-stating decreased with relative weight and over-stating decreased with relative weight in men and women.


Height was the most accurate for group of primary school and except group of primary school, accuracy of height increased with educational level in men nd women.


In height, the highest measured height groups (over than 175cm ieasured height in men and over than 165cm measured height in women) were the most ace rate and over-reporting of height decreased with measured height.


Single variable regression analysis and ANOVAs showed age(P<00C3), measured weight


(P<0.0001) relative weight(P<0.0001),educational level ¢¥P <0. 0005) and employment status (P<0. 0007) to be significantly-related to AWT in women ar,d measluredheight! P<0, 0001j, educational level (P<0. 03) and marrital status (P<0.03) to be significantly related to AHT in men.


The women were mere sensitive about her body weight than height.
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