Sentences with phrase «for sociodemographic characteristics»

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-.

Not exact matches

Researchers presenting the study abstract, «National Trends in Prevalence and Co-morbid Chronic Conditions among Children with Asthma, Autism Spectrum Disorder, and Attention Deficit Hyperactivity Disorder,» looked at data from the National Survey of Children's Health data for 2003, 2007, 2011 and 2012 to spot trends surrounding these conditions by sociodemographic characteristics in the United States.

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.

Baseline never smokers with (N = 2530) vs without (n = 28) follow - up data did not differ by baseline e-cigarette use or any sociodemographic characteristic except for age in which participants without data were older (P =.006).

After additional adjustment for sociodemographic, behavioral, and clinical characteristics, HRs were 1.00 (reference), 1.07 (1.02 - 1.12), 1.18 (1.06 - 1.31), 1.38 (1.11 - 1.70), and 2.03 (1.26 - 3.27; P =.004), respectively.

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.

Also, we used objective approaches to quantify neighbourhood attributes that allowed us to partially control for potential reverse causality due to depressed individuals tending to exhibit negative cognitive bias resulting in negative thoughts and perceptions.65 Residential self - selection bias is likely to be a trivial source of reverse causality in this study because Hong Kong's high levels of population density (6760 people / km2) and low percentage of developed land (less than 25 %) 66 limit most residents» choice of accommodation and 37 % of Hong Kong older adults live in public rental housing.67 Given the satisfactory response rate and the level of similarity in depressive symptoms and sociodemographic characteristics of participants recruited from two types of recruitment centres, the findings from this study are likely to be generalisable to the population of Chinese Hong Kong older adults matching the study eligibility criteria and other populations of older adults living in similar ultra-dense metropolises of Southeast Asia.

Distribution of Sociodemographic Characteristics and Potential Risk Factors for Childhood Obesity by Severity of Maternal Intimate Partner Violence

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.

Sociodemographic characteristics of the study sample are summarized in Table 1 along with corresponding measures for the full 5 - year follow - up sample.

After controlling for sociodemographics, friend / sibling / parent smoking, school performance, personality characteristics, and parenting style, the adjusted odds ratio for having tried smoking were 1.7 (95 % confidence interval [CI]: 1.1, 2.7) for Q2, 1.8 (95 % CI: 1.2, 2.9) for Q3, and 2.6 (95 % CI: 1.7, 4.1) for Q4 compared with adolescents in Q1.