aAdjusted for age (continuous), ethnicity (Malay, Chinese, Indian), TNM stage (stage 1, stage 2), and lymph node involvement (yes, no).
Unadjusted and models adjusted for gender, age (continuous), ethnicity, relationship status, employment status, household income and housing tenure were presented for all logistic regression models.
The final model included age (continuous), ethnicity, constructed variable for fatigue (continuous), use of HRT (never, past, current, and missing), WHR, and physical activity (dichotomous by median value of WHR or MET, and missing).
Models are adjusted for gender, age (continuous), ethnicity, relationship status, employment status, household income and housing tenure *p < 0.05; **p < 0.01; ***p < 0.001 In comparisons to those who reported no limits to social functioning, all poor health indicators were associated with increased risk of reporting limitations to social functioning (Table 8).
These analyses included in the initial full model age (continuous), gender, ethnicity, and sexual exposure.
Geometric mean hormone levels were obtained using standard analysis of covariance techniques, adjusting for age at blood collection (continuous) and ethnicity.
Logistic regression models estimated odds ratios for quartiles of consumption of antioxidant index or each nutrient adjusting for age (continuous), gender, ethnicity (White versus other), socioeconomic status (combined income and education categories), and total calories (continuous).
Demographics—age (continuous), sex, ethnicity (9 categories Caucasian, Indian, Pakistani, Bangladeshi, Other Asian, Black Caribbean, Black African, Chinese, other ethnic group), resident in care home, material deprivation (as measured by the Townsend score).
Associations between lung function parameters and dichotomous p,p´-DDT or lipid-normalized p,p´-DDE concentrations were estimated by the final multiple linear regression analyses, with lung function as the dependent variable, adjusting for age (continuous), sex, ethnicity (Caucasian or other), height (continuous), smoking status (never, former, current), and daily energy expenditure (continuous).
Demographic details collected in the patient questionnaire included: gender; age (treated as a continuous variable); ethnicity (coded as white vs non-white); smoking status; educational status; occupational status; living alone; and postcode, used to derive national quintiles according to the Index of Multiple Deprivation (IMD) (1 'least deprived' to 5 'most deprived').
We also accounted for FSWs' age (measured as a continuous variable), ethnicity, current drug use (any use of cocaine, crack cocaine, crystal methamphetamine), their exposure to 'social' factors (e.g., "having a partner who scores drugs for you"; having a regular partner that supports you financially).
