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Published research shows people of Asian origin to be less healthy than the white population. Most of the studies have not taken account of differences in employment between populations of white and Asian origin. Also, little research has been carried out on the patients' perceived health. This study, based on 215 patients from an inner-city general practice in Bradford, looks at the influence of ethnicity and unemployment on the perceived health of the sample. The Nottingham Health Profile was used as the measure of perceived health. In the study population, twice as many Asians as white people were unemployed, and significant differences in perceived health were observed between the employed and the unemployed. After controlling for employment, Asian males had significantly better perceived health than white males in the 16-34 age group. Perceived health of Asian and white females was similar on most morbidity dimensions.

About 2.5 per cent of United Kingdom residents are of Asian (or Indian subcontinent) origin though the term 'Asian' hides their internal diversities of languages, religions and national origins. The research on the health of these populations is heavily concentrated in areas of rickets and osteomalacia, tuberculosis, maternal and child health, and mental health, and is mainly dependent on analysis of routinely available morbidity and mortality data. Little has been published on the use of primary care services, racism in health service delivery, quality of care and doctor-patient communication. Also, few of the studies have attempted to interpret their findings against the disadvantaged background of Asian communities. It is implied that differences in health status are due to linguistic and cultural factors alone. The research literature on the health of Asian populations is critically reviewed.

To guide targeted cessation and prevention programming, this study assessed smoking prevalence and described sociodemographic, health, and healthcare use characteristics of adult smokers in public housing. Self-reported data were analyzed from a random sample of 1664 residents aged 35 and older in ten New York City public housing developments in East/Central Harlem. Smoking prevalence was 20.8%. Weighted log-binomial models identified to be having Medicaid, not having a personal doctor, and using health clinics for routine care were positively associated with smoking. Smokers without a personal doctor were less likely to receive provider quit advice. While most smokers in these public housing developments had health insurance, a personal doctor, and received provider cessation advice in the last year (72.4%), persistently high smoking rates suggest that such cessation advice may be insufficient. Efforts to eliminate differences in tobacco use should consider place-based smoking cessation interventions that extend cessation support beyond clinical settings. [ABSTRACT FROM AUTHOR]