Other hypothesis did not predict significant differences in the results of the two subsamples depending
on sociodemographic characteristics.
Regressions of Adolescent Positive and Negative Outcomes
on Sociodemographic, Family Context, and School and Community Measures
There was no evidence of systematic variation in the findings based
on sociodemographic characteristics.
The inter-view included the PSS, the Center of the Epidemiological Study of Depression Scale (CES - D), the State Trait Anxiety Inventory (STAI), the menopausal symptom checklist, and questions
on sociodemographic characteristics and health behaviors.
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.
There were no significant differences by group
on any sociodemographic variables.
Communities were matched into pairs based
on sociodemographic, cultural and infrastructure characteristics, with one community randomly assigned to the intervention and one serving as a control for comparison.
Not exact matches
The generalised linear model
on costs showed that, even after adjustment for clinical and
sociodemographic confounders, planned birth in settings other than obstetric units remained cost saving compared with the reference category of the obstetric unit: savings averaged # 134, # 130, and # 310 for planned births in alongside midwifery units, free standing midwifery units, and at home, respectively (P < 0.001)(see appendix 3
on bmj.com).
Infant feeding is strongly influenced by
sociodemographic determinants and feeding practices
on the maternity wards.
Results Adjusting for
sociodemographics, maternal intelligence, and home environment in linear regression, longer breastfeeding duration was associated with higher Peabody Picture Vocabulary Test score at age 3 years (0.21; 95 % CI, 0.03 - 0.38 points per month breastfed) and with higher intelligence
on the Kaufman Brief Intelligence Test at age 7 years (0.35; 0.16 - 0.53 verbal points per month breastfed; and 0.29; 0.05 - 0.54 nonverbal points per month breastfed).
Results Intervention and control groups were similar
on all measured
sociodemographic factors.
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.
No differences in anthropometric,
sociodemographic, or perinatal variables were found between the groups who had (n = 345) or who lacked (n = 20) data
on breast feeding.
«
Sociodemographic factors were seen to have caused cessation of breastfeeding in some of the included articles, and a focus should be placed on how to improve related knowledge of health - care professionals as it is clear that sociodemographic factors have an effect on health behavior,» said Dr. Elisabeth Mangrio, lead author of the Scandinavian Journal of Caring
Sociodemographic factors were seen to have caused cessation of breastfeeding in some of the included articles, and a focus should be placed
on how to improve related knowledge of health - care professionals as it is clear that
sociodemographic factors have an effect on health behavior,» said Dr. Elisabeth Mangrio, lead author of the Scandinavian Journal of Caring
sociodemographic factors have an effect
on health behavior,» said Dr. Elisabeth Mangrio, lead author of the Scandinavian Journal of Caring Sciences review.
The study noted: «A variety of
sociodemographic shifts, manifest in census data, could be causing these changes; however, because social change in the U.S. between 1997 and 2007 centered
on the expansion of communication technologies, we hypothesize that the sudden value shift in this period is technology driven.»
Sociodemographic data and information
on respondents» sexual experience and substance abuse was collected.
On entering the study, participants completed a previously validated semi-quantitative food frequency questionnaire to collect information on coffee consumption, lifestyle and sociodemographic characteristics, anthropometric measurements, and previous health condition
On entering the study, participants completed a previously validated semi-quantitative food frequency questionnaire to collect information
on coffee consumption, lifestyle and sociodemographic characteristics, anthropometric measurements, and previous health condition
on coffee consumption, lifestyle and
sociodemographic characteristics, anthropometric measurements, and previous health conditions.
Percentages of adults with screen - positive depression (Patient Health Questionnaire - 2 score of ≥ 3) and adjusted odds ratios (AORs) of the effects of
sociodemographic characteristics
on odds of screen - positive depression; percentages with treatment for screen - positive depression and AORs; percentages with any treatment of depression and AORs stratified by presence of serious psychological distress (Kessler 6 scale score of ≥ 13); and percentages with depression treatment by health care professional group (psychiatrists, other health care professionals, and general medical providers); and type of depression treatment (antidepressants, psychotherapy, and both) all stratified by distress level.
A second model limited to adults with screen - positive depression evaluated the effects of each
sociodemographic characteristic
on odds of receiving any depression treatment.
A logistic regression model was fit to evaluate the effects of each
sociodemographic variable level
on odds of screening positive for depression controlling for each of the other
sociodemographic variables.
The team is currently focusing
on a subset of students where known factors, such as
sociodemographics and test scores, made incorrect predictions with an eye for better understanding these specialized cases.
Ilumexico will conduct continued maintenance and intermediate surveying and evaluations
on equipment use,
sociodemographic data, and customer satisfaction throughout the commitment period.
Secular changes in
sociodemographic factors responsible for increasing rates of CD may also account for the greater magnitude of shared environmental influences
on variation in CD found among more recent cohorts.
Objective To compare immigrant and Canadian - born women
on the physical and psychological consequences of intimate partner violence (IPV), as well as examine important
sociodemographic, health and social support and network factors that may shape their experiences of abuse.
Results presented in tables 3 and 4 show the association between geographic and
sociodemographic characteristics and the probability of being developmentally vulnerable
on each AEDI domain by sex.
The distributions of
sociodemographic characteristics and covariates are shown based
on obesity at age 5 years and IPV exposure categories in Table 1.
Table 1 shows the
sociodemographic data of the students along with scores
on the MDSS, PHQ - 9, BIS - 11, RSES and AUDIT - C.
At 12 weeks, the intervention group adjusted mean score for depressive symptoms
on the BDI - II was significantly lower than the control group by 5.8 points (95 % CI − 11.1 to − 0.5) after adjusting for baseline depression scores, anxiety,
sociodemographics, psychotropic medication use and clustering by practice.
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).
Differences in intervention effects by
sociodemographic and clinical factors
on fatigue outcomes will be explored.
We will describe the
sociodemographic variables in our sample and will compare them with those of other studies
on psychopathology with Moroccan - Dutch participants.
Participants provided
sociodemographic data (age, sex, marital status), work grade (consultant, higher / basic specialist trainee), specialty and work hours and completed well - being questionnaires (the Depression Anxiety Stress Scale, WHO Well - being Index, General Health Questionnaire) and single - item scales
on self - rated health and self - stigma.
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.
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).
Sociodemographic characteristics were included as controls in the models
on the basis of numerous studies that document associations between these markers and behavioral outcomes.15 Multiple indicators of positive (eg, closeness, safety) and negative (eg, aggression, negative influence) dimensions of family, school, and community contexts were included
on the basis of previous research.1, 7,11 — 15
The representativeness of participating schools and children relative to the respective state population was estimated using publicly accessible national school - level data
on enrolment and
sociodemographic indices.
The survey questions are based
on a conceptual model that describes the causal pathways from policies to public health impact.6 This allows assessment of the impact of policies
on behaviour and attitudes along the theorised causal pathway, and the investigation of how these impacts are moderated by other factors, such as
sociodemographic factors, dependence and smoking history.
Associations between the outcome variables and
sociodemographic and smoking variables were assessed using logistic regression to generate odds ratios (ORs) and P values based
on Wald tests.
The following
sociodemographic characteristics will be considered to be potential confounding factors
on the basis of their potential associations with parental stress and child health: household income, children's age and gender, and parental age and gender, education level, occupation, marital status and immigration status.
There was strong evidence of a relationship between
sociodemographic variables and missing data
on depressive symptoms (S2 Table).
Objective: The purpose of this study was to provide nationally representative data
on the prevalence,
sociodemographic correlates, and comorbidity of antisocial syndromes across alcohol and 8 specific drug use disorders, including sedative, tranquilizer, opiate, stimulant, hallucinogen, cannabis, cocaine, and inhalant / solvent abuse and dependence.