Other covariates, such as height, intake of vitamin D, intake of calcium, and total energy intake, were not included, as they were not consistently associated with pancreatic cancer risk across the cohorts.
Statistical adjustment for important potential confounders such as age, sex, place of residence, levels of education, marital status, BMI, height, intake of fruit and vegetables, a composite wealth score, alcohol consumption, and cigarette smoking status had little effect on the risk estimates.
Both treatment and observation groups were similar in terms of baseline characteristics such as sex, age, weight, height, standard drinks consumed, intake of other drugs, and blood alcohol content (Table 1).
The adjusted model included age, physical activity level, smoking status, height, BMI, energy intake, intake of alcohol, retinol and vitamin D, supplemental calcium, supplemental calcium plus vitamin D, oestrogen replacement therapy, cortisone use, bisphosphonate use, a previous fracture of any type before baseline, nulliparity, educational level, and Charlson's comorbidity index.
It is important to obtain relevant information from the patient, like gender, age, weight, height, lifestyle, general health, intake of coffee, smoking habits, use of drugs, treatments, and last visit to the dentist (anesthetic use, tooth extraction, etc). in order to determine possible causes other than a pathology for the presence of elevated MN or NA.
In the final model, covariates not included due to limited evidence of confounding were family history of MI, hypercholesterolemia, height, protein intake, polyunsaturated fat intake, multivitamin use, glycemic index, site of MI, ST elevation, and initial creatinine level.
There were no statistically significant differences between cases and controls regarding family income, hormone replacement therapy, adult height, physical activity, and usual intake of energy.
Measures of maternal nutrition (i.e., prepregnancy weight-for-height, gestational weight gain, and intake of nutrients) were not available to assess the potential effects of these factors on the associations observed in this study.
In the current study we tested the effects of water trough height and size on preference and water intake of cows on pasture.
Approximate tertiles of weight, height, body mass index (BMI, weight kg/height, m), and intake of foods or food groups were computed based on the combined distribution of cases and controls.
In the present study we used information on age, gestational length, height and weight (for calculation of BMI), smoking habits, and intake of seafood.
