Sentences with phrase «sociodemographic variables»
"Sociodemographic variables" refers to characteristics of a group of people that can help us understand their social and economic backgrounds. These variables include things like age, gender, education level, income, and occupation. By studying these variables, we can gain insights into how different groups of people experience certain aspects of life, such as healthcare, education, or employment. Full definition
After controlling for the role of sociodemographic variables, poorer self - reported vision was independently associated with more functional limitations, feelings of social isolation, and depressive symptomatology and poorer visual acuity predicted more functional limitations.
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At the end of the maternal questionnaire, there were self - report items for sociodemographic variables such as maternal age, level of education, marital status, pregnancy status, and smoking status.
To assess potential confounding, we examined group differences between sociodemographic variables and basic needs at baseline.
Single parent status remained a significant predictor of interest in attending a group after adjustment for other sociodemographic variables.
Mental disorders and sociodemographic variables in pop - ulation assisted by the Family Health Program in Brazil
The adjusted model 1 including sociodemographic variables and personality traits (RSES and BIS - 11) showed that similar risk factors were associated with both DSH and SA.
Coyne discusses the limits of self reported distress among college students as an analogue for clinical depression.5 Secondly, participants in analogue studies differ from clinical populations in important sociodemographic variables such as age, social class, and educational level.
It also has to be noticed that the parameters, sex or gender, are not straight forward binary categories and that a multiple of femininities or masculinities converge with other important sociodemographic variables (4).
After determining that the 2 groups were similar on all measured sociodemographic variables using χ2 tests, data obtained at the 12 - week follow - up observation point were analyzed.
Several studies underline the importance of taking into account sociodemographic variables such as victims» sex to better understand the phenomenon.
We will investigate the association between social factors (independent variables) and psychopathology (dependent variable) and we correct for relevant sociodemographic variables (confounding variables).
The study analyzed sociodemographic variables and a range of risk factors to determine their association with depression.
Weighted bivariate and multivariate logistic analyses were used to assess the relationship between maternal depressive symptoms (trichotomized to depression at both time points, at 1 time point, and at neither time point) and parental prevention practices, while controlling for a wide variety of sociodemographic variables.
Similarly, the size of between - group differences in depressive symptoms may vary between studies that used groups matched on sociodemographic variables and studies that did not control for these between - group differences, because the lack of control for demographic variables may cause unsystematic bias rather than a general overestimation or underestimation of between - group differences in depressive symptoms.
The results were adjusted for sociodemographic variables.
Sociodemographic variables included sex, race / ethnicity, grade level, and participation in competitive sport within the past 12 months.
The study included 17,897 respondents from the National Health Interview Survey (NHIS), administered by the U.S. government since 1957 to examine a nationally representative sample of U.S. households about health and sociodemographic variables.
Results: After adjusting for sociodemographic variables, those who perceived their neighbourhood as highly green had 1.37 and 1.60 times higher odds of better physical and mental health, respectively, compared with those who perceived the lowest greenness.
Five self - report questionnaires will be used at baseline and, except for the sociodemographic variables, after the intervention is completed (12, 18 and 24 months later) to evaluate the short - term and long - term effects of the intervention on primary (health) and secondary (social participation, life satisfaction and healthcare services utilisation) outcomes and to describe the participants (table 1).
Sociodemographic variables, such as sex, age, educational level, number of children, marital status, and smoking status.
We will describe the sociodemographic variables in our sample and will compare them with those of other studies on psychopathology with Moroccan - Dutch participants.
Symptoms of distress, depression, anxiety and stress were significantly higher and levels of well - being were significantly lower in trainees compared with consultants, and this was not accounted for by differences in sociodemographic variables.
Sociodemographic variables will include gender, education, marital status, place of birth and annual family income.
Sociodemographic variables were measured in the NSHAP using standard self - report items.
The results for Step 1 (examining the role of sociodemographic variables) and Step 2 (examining the direct role of the vision and marital quality variables) were identical across the models focusing on self - reported vision and visual acuity; the results for Step 3 (the test of moderation) varied across these models.
A series of follow - up regressions examined the moderating effects of adolescent age, gender, race, ethnicity, and household status by creating a series of interaction terms for each of the family and school / community variables that involved, separately, each of these sociodemographic variables.
Although there was a lower response among families of minority groups (70 %) than among white families (84 %), (p <.01), t - tests and chi - square analyses indicated that minority - group respondents did not differ from minority - group nonrespondents on any birth status or sociodemographic variable (p >.05).
Physical Punishment, Childhood Abuse and Psychiatric Disorders Afifi, Brownridge, Cox, & Sareen Child Abuse & Neglect: The International Journal, 30 (10), 2006 View Abstract Compares the childhood experience of physical punishment or physical abuse and whether it was associated with adult psychopathology, after adjusting for sociodemographic variables and parent - child attachment type.
Black children also continue to demonstrate a higher likelihood of disability due to asthma than white children after adjustment for the potentially confounding effects of these other sociodemographic variables.
Latino immigrant children's health: Effects of sociodemographic variables and of a preventive intervention program.
Descriptive statistics were employed to investigate the distribution of sociodemographic variables.
Descriptive statistics document the mean reported number of trauma experiences and posttraumatic stress subscale scores by participants» sociodemographic variables.
Responders and non-responders did not differ with respect to the prevalence rates of psychopathology and associations between sociodemographic variables and mental health outcomes [11].
There was strong evidence of a relationship between sociodemographic variables and trajectories of conduct problems (S1 Table).
There was strong evidence of a relationship between sociodemographic variables and missing data on depressive symptoms (S2 Table).
However, academic difficulties in children of depressed mothers were not mediated by parental IQ, sociodemographic variables or the mother's mental health after the postpartum depressive episode.
The main aims of the present study were test psychometric properties and dimensionality of the RS - 11, to test for differences related to sociodemographic variables and to provide normative data for the RS - 11, a shorter version of the original resilience scale [14], for a population sample of different age groups and for both men and women.