Sentence examples for data collection age from inspiring English sources

We included the following covariates from the baseline data collection: age, sex, educational attainment, occupational activity, physical activity level, alcohol consumption, and concentrations of total cholesterol and C-reactive protein.

We used the chi-square test to test the hypothesis of telephone interviews resulting in higher response rates than mailed questionnaires (Hypothesis 1) and logistic regression to assess differential bias between mode of data collection, age and gender; marginal associations between mode of data administration and demographic data were examined using the chi-square test of independence.

Covariates included in this analysis were (year of data collection): age at menarche (1989), height and weight at age 18 (1989; used to calculate body mass index (BMI), kg/m), parity (biennially), age at first birth (biennially), family history of breast cancer (1989 and 1997; mother and/or sister), history of benign breast disease (biennially).

The tested covariates were age at first birth, body mass index, socioeconomic position, alcohol intake 1 year before data collection, age at menarche and menopause, parity, use of menopausal hormone therapy, age at menopause, family history of breast cancer and benign breast disease.

The following clinical variables were identified for investigation regarding AVF FTM outcome prior to data collection: age, gender, renal replacement therapy status at AVF creation, diabetic status, CAD, PVD, anticoagulation use, previous AVF and location of AVF creation (upper-arm versus lower-arm site).

As part of this nationwide, longitudinal, population-based protocol for data collection, age-of-onset information for index cases and their affected family members has been systematically obtained and validated.

Demographic factors were age at data collection (years), sex and an indicator of socio-economic status (SES).

Cohort members remaining in the NSHD at the time of data collection at age 53 years and at age 60-64 years have been determined as generally representative of native-born adults living in England, Scotland, and Wales.

To allow for the different income categories used and difference in levels of income between the two points of data collection at age 13 and age 30 a distributional approach to classifying income was adopted.

Inverse probability weights were estimated for each outcome using logistic regression models predicting successful follow-up and data collection for age 5 questionnaire data, age 7 questionnaire data, and age 7 IgE testing.

Some of the routine data analysed in the current study were taken by health workers who had received training as part of a reliability study 4 (though this could have been up to 3 years prior to data collection at age 24 months).