Sentence examples for partners types of from inspiring English sources

Questionnaire-based interviews provided information including demographics (age, marital status, ethnicity, residency, education), sexual and drug use behaviors (sex behavior with regular and commercial partners, condom use with clients or regular sex partners, types of drug use and injection history), HIV knowledge, HIV testing, and HIV-related prevention services.

The independent variables were socio-demographic characteristics including age, sex, ethnicity, education, religion, marital status, occupation and income status; relationship factors including the number of sexual partners, types of sexual partner and any discussion about condom use, partner's HIV sero-status and their disclosure status.

These questions were correctly answered as "yes", but wrongly answered or unknown as "no"; 3. risk behaviors (number of partners, type of partner, and frequency of condom use); and 4. information resources (television, radio, press, book, medical staff, publicity material, internet, school and sexual partner).

Logistic regression analysis was performed with age, ASA-classification, known dementia, having a partner, type of fracture, institutional residence and psychotropic drug use as possible confounders.

Furthermore, in separate analyses we will assess whether different types of predictors explain the outcomes: (1) client characteristics (age, gender, having a partner, type of housing, diagnosis), (2) symptom severity (BSI), (3) health and day care utilization.

Even greater differences were seen between the exposed and unexposed MSM in CCU with specific partner types for each of these binary measures.

The combination of these findings leads the way to more realistic strategies that store partner types instead of single actions and distinguish in memory accuracy between defectors and cooperators depending on the environment.

Among MSMW, 93 % reported having female regular partners, 14 % had female paid partners, and all types of male partners (regular 55%%; casual 77.1 %; paying 47 %; paid 19%%).

All factors except number of sexual partners and type of current partner (which were highly correlated) were simultaneously entered into multiple logistic regressions.

Data collected included partner sex, partner type, frequency of sexual activity, HIV and pregnancy prevention, alcohol use related to sexual activity, including if the partner was initially met at a drinking venue.

To test the hypotheses, we varied the proportion of partner types in the interaction group.