Sentence examples for marital condition from inspiring English sources

Any marital condition different from being married with a (present) spouse strongly increases the probability of being childless, with the singleton condition being the worst.

It is noteworthy that 23.6% of near miss patients were adolescents (14 19 years of age), 33.2% were not in a stable marital condition and 46.3% came from suburban areas.> One third of near miss cases (33.7%) had no antenatal control in the index pregnancy; among women who had gone through antenatal care, 85.7% had their 1st antenatal visit after the first trimester (Table  3).

This could be explained by differences in social and marital conditions between older men and older women [ 63, 64] as well as by the fact that older women experience more disabilities compared with men [ 57].

Socio-demographic variables include age, gender, migrant status, marital status, living conditions, household size, education, former occupation, income and wealth.

Socio-demographic variables were related to the situation at the time of the study, such as for the level of education, employment, houselhold and living conditions, marital status.

Six factors associated with LTBI were identified in multivariate analysis: origin, travel conditions, marital status, cough, age and prior TB exposure.

The following demographic variables are measured at baseline: age, gender, nationality and ethnicity, marital status, living conditions, education and work status.

Information was collected on participants' socio-demographic characteristics (education, income, occupation, marital status), health conditions and behaviours including smoking, alcohol intake and physical activity, and everyday life including respondents' perceptions of neighbourhood conditions.

The participants also completed a questionnaire, which in addition to diet intake, covered socioeconomic and psychosocial conditions, marital status, level of education, self-rated health, personal health history, family history, and quality of life [ 25].

Together, the questionnaires provided detailed information on physician-diagnosed depression, pesticide use, and covariates, including race, ethnicity, education, marital status, medical conditions, alcohol use, and smoking habits (Alavanja et al. 1996).

To study factors associated with depression, logistic regression analysis was conducted to study the independent effects of age, number of chronic medical conditions, marital status, education levels, maximum incomes and self perceived SES on clinically relevant depressive symptoms.