Sentences with phrase «analyses by ethnicity»

Due to the different definitions used in census reports we did not separate our analyses by ethnicity.

Not exact matches

To further explore the apparent relation between sleep position and ear infections at 6 months, the age at which this outcome was most common, we performed analyses stratified independently by maternal ethnicity, breastfeeding, and season.

Area and individual maternal characteristics included country of residence, ward type, socioeconomic status, ethnicity (defined by Office for National Statistics guidelines and classified for this analysis as British / Irish white3 or of other ethnic origin), maternal age in years at cohort child's birth, level of education (attainment of qualification at GCSE grade G or above), parity (whether cohort child is first live birth), and lone parent status.

On 17 October 2012, additional national - level tables are being added containing a further breakdown of analyses for primary type of special educational need by pupil characteristics (e.g. free school meal eligibility, age, gender, ethnicity).

Differences in perinatal outcomes by race or ethnicity and socio - economic status, and patient satisfaction outcomes were not evaluated in the Cochrane Review (22) or reported as a main outcome in the meta - analysis (23).

African American service members had higher incidence rates of hypertension compared to service members of other races and ethnicities despite equitable access to health care within the military health system, according to a new analysis by the Armed Forces Health Surveillance Center (AFHSC).

Dr. Fyffe is a co-author of a related article, «Longitudinal analysis of hospitalization after spinal cord injury: Variation based on race and ethnicity,» published online on August 2 by Archives of Physical Medicine & Rehabilitation (DOI: 10.1016 / j.apmr.2014.07.399).

Incidence of bladder cancer varies considerably between ethnicities, and as the risk factors reported here were discovered by analysing DNA from groups of European descent, it is our hope that the publication of these findings will contribute to the swift analysis of the impact of these variants in cohorts of other continental ancestries.

We also determined the results of stratified analysis by age group (< 60 years vs ≥ 60 years), sex, race / ethnicity, educational attainment (< 12 vs ≥ 12 years), physical activity (≥ 5 times / wk of moderate - intensity vs vigorous activities vs others), HEI score (top 50 % [score ≥ 63.5] vs other), and BMI (normal vs overweight / obese).

Analyses by the National Center for Health Statistics, for example, indicate that marriages between spouses of the same race or ethnicity have a lower divorce rate after 10 years than interracial or interethnic couples (31 percent versus 41 percent).

Data analysis should include nuanced disaggregating of data by student race, ethnicity, English language proficiency, national origins, disability, gender, race by English language proficiency, race by national origins, race by disability, race by gender, etc..

In our analyses of Florida data, 37 percent of the variation in students» middle school course tracks can be explained by a combination of their prior test scores, race / ethnicity, and family income.

Multivariate analyses indicate that, when controlling for race / ethnicity, gender, advanced science and math course taking, and GPA, the odds of enrolling in higher education for a student who scored at the advanced level on an occupation - specific exam are greater by a factor of 1.39, and on a workplace readiness exam by a factor of 2.22 than the odds for a student with a score at the below basic level.

Since we found baseline differences in race / ethnicity and clinic site by treatment group, we also conducted multivariate analyses to control for these variables on outcomes including EC use, unprotected intercourse, contraceptive method change, frequency of condom use, and condom use at last intercourse.

Spearman's Rank Order Tests (rho) explored correlations between depressive symptoms (HADS - D as a continuous variable) and deprivation.44 We report analysis by age, gender, deprivation, tumour site, place of birth and ethnicity.

Overall, the heterogeneity of racial and SES classification within and across the studies was such that it precluded analysis by race and ethnicity or SES.

We further performed stratification of regression analyses by family SES (lower 3 vs higher 2 SES quintiles), household language, and child race / ethnicity.

A covariate was included in the multivariate analyses if theoretical or empirical evidence supported its role as a risk factor for obesity, if it was a significant predictor of obesity in univariate regression models, or if including it in the full multivariate model led to a 5 % or greater change in the OR.48 Model 1 includes maternal IPV exposure, race / ethnicity (black, white, Hispanic, other / unknown), child sex (male, female), maternal age (20 - 25, 26 - 28, 29 - 33, 34 - 50 years), maternal education (less than high school, high school graduation, beyond high school), maternal nativity (US born, yes or no), child age in months, relationship with father (yes or no), maternal smoking during pregnancy (yes or no), maternal depression (as measured by a CIDI - SF cutoff score ≥ 0.5), maternal BMI (normal / underweight, overweight, obese), low birth weight (< 2500 g, ≥ 2500 g), whether the child takes a bottle to bed at age 3 years (yes or no), and average hours of child television viewing per day at age 3 years (< 2 h / d, ≥ 2 h / d).

Logistic regression analyses were conducted to estimate the effect of maternal IPV on asthma diagnosed by age 36 months while adjusting for potential confounders (child's sex, age, race / ethnicity, low birth weight, maternal education, economic hardship, and tobacco exposure).

This analysis includes England information on primary type of need by age, gender, ethnicity, free school meal eligibility, national curriculum year group, first language and also information on secondary type of need.

For this modeling, the measures of CU (ICU - total raw score) and ODD (binary diagnosis present / absent) were considered as the independent variables and the analyses were adjusted by the covariates family SES, children's sex and ethnicity, presence of comorbidities other than ODD and the number of DSM - IV CD symptoms.