A multiple regression analysis of hemoglobin values and iron status in Japanese farmers.

Abstract

SummaryThe authors performed multiple regression analysis of hemoglobin values and the parameters related to iron dynamics. The subjects consisted of 37 farmers whose Hb, Ht, GB, SI, %-St, SFR and FEP was examined once a month for one year. 19.2% of the female farmers had anemia of which 73.8% was iron-deficiency anemia, 13.7 being latent iron deficiency. Hb, GB and FEP in males and SI, %-St, SFR, FEP in females revealed clear seasonal variations. Multiple correlation coefficient between Hb and SI, %-St, SFR, FEP as independent variables was significant in females but not in males, and the ratio of contribution (38.7%) was not very high, however, the multiple correlation coefficient was significantly high (0.622). Standard regression coefficients between Hb and SFR, FEP were significantly high (p<0.01). When Ht and GB were added to these 4 variables, multiple correlation coefficients (male, 0.906; female, 0.957) were remarkably high, which means serum-related variables such as Ht and GB have an undeniably important role as explanatory variables of hemoglobin levels. These standard regression coefficients showed seasonal changes.

Effects of Salt Fortified with Iron and Iodine on the Haemoglobin Levels and Productivity of Tea Pickers

“…It is well known that anaemia affects the productivity of workers [1][2][3][4][5] and that productivity improves when anaemia is reduced. In fact, anaemia is associated with reduced production of women workers even in less physically strenuous tasks, as seen in jute factory workers [6].…”