Attitudes about status, occupational competition, and concerns regarding autonomy stand in the way.
Variation in health status, occupational composition, and demographical characteristics across different states would naturally give rise to differences in allowance rates.
The sociodemographic form was developed by the investigators to evaluate sociodemographic characteristics such as age, sex, education status, marital status, occupational status and clinical characteristics.
Multivariate logistic and linear regression modeling were used to assess whether differences in clinical characteristics remained significantly different upon controlling for demographic factors, including gender, education, marital status, occupational status, and clinical factors, including bipolar subtype and onset age.
bAdjusted for age, gender, marital status, occupational status and education.
cAdjusted for age, gender, marital status, occupational status, education, and physical work environment.
aAdjusted for age, marital status, occupational status, education and physical work environment.
*Adjusted for baseline values, age, sex, marital status, occupational status and number of chronic conditions.
The socio-demographic factors which significantly influenced patient satisfaction include age, education status, occupational status and number of visit.
Financial status, occupational risk related to contact with children, and transfusions were not related to the prevalence of IgG antibodies.
Information on demographic characteristics, smoking and drinking status, occupational exposures, and medical history was collected at baseline [ 11– 13].
