Sentence examples for occupation in this study from inspiring English sources

Besides, although many studies have indicated that individuals in occupations that entail exposure to high temperatures outdoors are more likely to develop heat-induced diseases, we were unable to include a measure of occupation in this study.

Occupations in this study were based on the South Korean standard for classifying occupation, derived from the International Standard Classification of Occupation of the International Labor Organization [ 22].

There was no statistically significant association of the disease among the different occupation groups included in this study.

A significant positive association between current asthma and farm-related occupation was found in this study (adjusted OR = 2.09, 95%CI: 1.00 4.39).

Part of this discrepancy might be explained by the higher proportion of unknown occupations (16%) in this study compared with the Santa Clara county study (6%).

Most of the study participants were illiterate (132, 84.5 %), majority (75 %) were rural dwellers and 63.3 % (106/160) were farmer by their occupation (Table  1).> In this study, 43.1 % (69/160) patients were suffering from conjunctivitis followed by blepharitis (29.4 %, 47/160).

There was no significant association with stomach cancer and gastric symptoms (RR=1.2, 95% CI=0.6 2.4), coffee drinking (RR=1.0, 95% CI=0.9 1.1), alcohol consumption (RR=1.0, 95% CI=0.9 1.1), or occupation (RR=1.0, 95% CI=0.9 1.1) in this study population, so these factors were excluded from the final model.

However, a comparatively higher prevalence of bacterial pathogens was found among patients suffering from dacryocystitis (80%%; 8/10) (Table  2).> In this study, occupation, residence, education, frequency of face washing, the occurrence of systemic disease, and cigarette smoking were used as possible risk and predisposing factors for ocular infection.

The International Standard Classification of Occupations (ISCO) was not adopted in this study.

Variations in pet ownership with annual household income level [ 16- 18], [ 20- 23] are possibly comparable to the variations in occupations found on univariable analysis in this study.

For these reasons, the odds ratios not adjusted for education are probably a better estimate of the effect of occupation in our study, but we presented both types of estimates here (43, 44).