Information on demographic and clinical characteristics including age, sex, location of residence, weight, height, waist circumference, and sitting blood pressure were collected.
Patient characteristics including age, sex, referral source, postcode of residence, weight, body mass index (BMI) and the presence of specific comorbidities were recorded.
Demographic information and anthropometric measurements were obtained from the referral letter and case notes, including age, sex, referral source, postcode of residence, weight and body mass index (BMI).
Cases and controls were interviewed face to face on ethnic group, education, occupation, places of residence, weight history, personal and familial history of thyroid disease and cancer, gynaecologic and reproductive history, medical X-ray exposure and diet at the time of the interview and during childhood.
The heightened risk remained even after taking into account factors that could increase the susceptibility to developing deep vein thrombosis, such as age, education, area of residence, and weight.
The data collected was related to basic details of the patient, age (months), sex, location of residence and weight (kg).
Child's and mother's age, number of children under 5 years, place of residence, maternal weight and wealth index were also significantly associated with HAZ.
Effect modifiers considered were age at and place of enrolment, place of residence, birth weight, head circumference, MUAC, and maternal MUAC, age, parity, schooling, and socioeconomic status.
‡Adjusted rate ratios were obtained from a logistic model that included maternal age, parity, marital status, residence, pre-pregnancy weight, smoking status, previous cesarean delivery, previous low birth weight, previous perinatal death and calendar period.
An ecologic study of residence and birth weight in the Mid-Ohio Valley found no association between PFOA exposure and birth weight (Nolan et al. 2009b).
Mothers who were > =150 cm in height accounts for 280 (90.9 %) whereas minority 28 (9.1 %) mothers were <150 cm in height (Table 3).> In the multivariate logistic regression analysis model, controlling potential confounders maternal place of residence, gestational age, weight of mother and presence of chronic medical illnesses were found to be significant predictor of low birth weight.
