Significant differences were seen in the profile characteristics of HR-MSM between Round 1 and Round 2, including in age, literacy, occupation, residency in the district, age at first sex, occupation, and self-identity (see Table 2).
The key profile variables associated with outcomes — self-identity, age, literacy, occupation, residency, age at first sex for HR-MSM; and self-identification as aqua (non-castrated) or nirvana (castrated) aravani, district, age, literacy, occupation, age at first sex and residency for TGs — were controlled for confounding in logistic regression models.
^Multivariate models were controlled for the following variables for HR-MSM analysis: self-identity, age, literacy, occupation, residency, age at first sex ; and the following variables for TG: self-identification as aqua or nirvana aravani, district, age, literacy, occupation, age at first sex, and residency.
Participation in the study was random and voluntary, with the sample size required obtained in each locality with no preference for sex, age, occupation, or residency.
Taking health care use as the dependent variable, it is defined in the following linear model: (2) h i =δ+ ∑ k γ k x ik + ∑ p γ p z ip +ϵ i where two types of explanatory variables are identified: need variables (x k ), such as age, gender, self-assessed health and disease history, and non-need variables (z p ) including insurance status, education, occupation and residency location.
In both models, we control child and family characteristics, including child's sex, birth year, sibship size, mother's years of schooling, father's occupation, and urban residency.
After further controlling for potential confounding factors such as smoking, occupation, region of residency, season and social-economic status, the association of over-all actinic skin damage and its components with all-cause mortality persisted, and the results remained similar when we used cancer and cardiovascular disease as the outcome.
Data on residency, occupation, drinking-water sources and consumption, smoking, use of alcohol, drugs, or medication, and medical history were gathered at the time of enrollment using a questionnaire.
Using surveillance data, this study aimed to estimate the incidence of SSAs, defined as suicide attempts resulting in either death or hospitalisation, and to examine if fatality among these attempters differs by the victim's background characteristics (sex, age, education, occupation and urban/rural residency), season of attempt and method used.
A yearlong occupation there won 126 residency permits, renewable annually — a typically modest success, organizers conceded, but a success nonetheless.
She said people can be declined cover for a range of reasons including health, travel, residency and occupation; essentially if the insurer believes the chances of claiming on the policy are too high.
