Sentences with phrase «between sociodemographic»

Association between sociodemographic factors, high social deprivation, poverty and increased risk of externalizing and internalizing disorders is also observed and the strongest association is that between moderately deprived neighborhoods and ADHD [23].
Structural equation models and regression analyses accounting for age and sex contributions revealed that emotion dysregulation mediated associations between sociodemographic risk and internalizing symptoms, externalizing problem behavior, and drug use severity, and moderated links between psychosocial risk and internalizing symptoms and externalizing problem behavior.
There was strong evidence of a relationship between sociodemographic variables and missing data on depressive symptoms (S2 Table).
There was strong evidence of a relationship between sociodemographic variables and trajectories of conduct problems (S1 Table).
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].
Next, we investigated the relationship between sociodemographic characteristics and maltreatment.
To assess potential confounding, we examined group differences between sociodemographic variables and basic needs at baseline.
Finally, we examined the association between sociodemographic variables (child age, sex, race / ethnicity, maternal obesity, maternal education, poverty) and prevalence of having a chronic condition during any part of the 6 - year study period in multivariate logistic regression models that included all participants.

Not exact matches

To identify the energy contributions of NOVA food groups in the Mexican diet and the associations between individual sociodemographic characteristics and the energy contribution of ultra-processed foods (UPF).
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.
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.»
In addition, the researchers observed that sociodemographic factors played a role, with an association between areas of greater social deprivation and higher rates of opioid prescriptions.
Separate logistic models were used to calculate P values for the interaction between levels of each sociodemographic variable and seriousness of psychological distress to assess whether these AORs differed across strata.
OBJECTIVE To examine the association between quality of life and health self - perception of children with poor school performance, considering sociodemographic factors.
Hierarchical generalised linear mixed models with a logit link were used to analyse the relationship between poor attendance and maternal alcohol use, and sociodemographic and school characteristics, with models nested at the child and family level.
There were no differences between the intervention and control groups in sociodemographic background.
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.
There were no statistically significant sociodemographic differences between the 2 groups.
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.
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.
Multiple logistic regression analyses were used to determine the association between panic attacks during adolescence in 1983 and the risk of personality disorders during young adulthood in 1993, adjusting for differences in sociodemographic characteristics, adolescent personality disorders, and co-morbid depressive and substance use disorders.
Associations Between Children's Consumption of Food Groups and Presence of Television at Meals, Controlling for Covariates and Sociodemographic Factors †
Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: evidence from a nationally representative cross-sectional study
The study aim was to examine the association between coping strategies and self - efficacy in DM2 management in a group of 126 Mexican adults over 54 years old (= 68.57, SD = 7.19), which answered an interview about sociodemographics data, self - efficacy in diabetes and coping strategies.
A significant association was found between insecure attachment style and frequent attendance, even after adjustment for sociodemographic characteristics, presence of chronic physical illness and baseline physical function [odds ratio (OR) 1.96 (95 % CI 1.05 — 3.67)-RSB-.
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 association between critical life events, sociodemographic data and physical activity in the development of myocardial infarction in smokers and ex-smokers
Associations between group status and parent - reported outcomes were assessed via regression analyses controlling for sociodemographic and health status variables.
Statistical analyses revealed a single self - regulation factor for this high neonatal risk sample, and this self - regulation factor mediated associations between early sociodemographic risk and mothers» ratings of academic competence and externalizing problems.
Even less is known of the mechanisms engendering the differential vulnerability of individuals in unions with varying degrees of sociodemographic similarities between spouses.
We examined associations between variables in our main community sample using either simple logistic regression or multiple logistic regression (adjusted for sociodemographic and other variables) to generate odds ratios and Wald tests.
There were inconsistent differences in some sociodemographic factors between our sample and the NATSISS: our sample had higher proportions of unemployed people, but also higher proportions who had completed Year 12 and who lived in more advantaged areas.
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.
Lifetime prevalences of antisocial syndromes were estimated and logistic regression analyses were used to examine associations between antisocial syndromes and sociodemographic characteristics and substance use disorders.
There are relatively few studies examining associations between staff characteristics and EE and no consistent evidence of associations with burnout, experience, training, or sociodemographic factors.
However, these findings are not robust, as other studies have found no associations between EE status and experience or training, 12,21,27,28 or associations between age and other sociodemographic variables.12, 21,28
A series of bivariate chi - square and F tests were conducted to examine whether significant relationships existed between CJS involvement during the first 12 months of the trial and baseline measures of sociodemographic characteristics, psychiatric status, substance abuse, and other patient characteristics.
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