Mortality, ethnicity, and country of birth on a national scale, 2001-2013: A retrospective cohort (Scottish Health and Ethnicity Linkage Study).

BACKGROUND: Migrant and ethnic minority groups are often assumed to have poor health relative to the majority population. Few countries have the capacity to study a key indicator, mortality, by ethnicity and country of birth. We hypothesized at least 10% differences in mortality by ethnic group in Scotland that would not be wholly attenuated by adjustment for socio-economic factors or country of birth. METHODS AND FINDINGS: We linked the Scottish 2001 Census to mortality data (2001-2013) in 4.62 million people (91% of estimated population), calculating age-adjusted mortality rate ratios (RRs; multiplied by 100 as percentages) with 95% confidence intervals (CIs) for 13 ethnic groups, with the White Scottish group as reference (ethnic group classification follows the Scottish 2001 Census). The Scottish Index of Multiple Deprivation, education status, and household tenure were socio-economic status (SES) confounding variables and born in the UK or Republic of Ireland (UK/RoI) an interacting and confounding variable. Smoking and diabetes data were from a primary care sub-sample (about 53,000 people). Males and females in most minority groups had lower age-adjusted mortality RRs than the White Scottish group. The 95% CIs provided good evidence that the RR was more than 10% lower in the following ethnic groups: Other White British (72.3 [95% CI 64.2, 81.3] in males and 75.2 [68.0, 83.2] in females); Other White (80.8 [72.8, 89.8] in males and 76.2 [68.6, 84.7] in females); Indian (62.6 [51.6, 76.0] in males and 60.7 [50.4, 73.1] in females); Pakistani (66.1 [57.4, 76.2] in males and 73.8 [63.7, 85.5] in females); Bangladeshi males (50.7 [32.5, 79.1]); Caribbean females (57.5 [38.5, 85.9]); and Chinese (52.2 [43.7, 62.5] in males and 65.8 [55.3, 78.2] in females). The differences were diminished but not eliminated after adjusting for UK/RoI birth and SES variables. A mortality advantage was evident in all 12 minority groups for those born abroad, but in only 6/12 male groups and 5/12 female groups of those born in the UK/RoI. In the primary care sub-sample, after adjustment for age, UK/RoI born, SES, smoking, and diabetes, the RR was not lower in Indian males (114.7 [95% CI 78.3, 167.9]) and Pakistani females (103.9 [73.9, 145.9]) than in White Scottish males and females, respectively. The main limitations were the inability to include deaths abroad and the small number of deaths in some ethnic minority groups, especially for people born in the UK/RoI. CONCLUSIONS: There was relatively low mortality for many ethnic minority groups compared to the White Scottish majority. The mortality advantage was less clear in UK/RoI-born minority group offspring than in immigrants. These differences need explaining, and health-related behaviours seem important. Similar analyses are required internationally to fulfil agreed goals for monitoring, understanding, and improving health in ethnically diverse societies and to apply to health policy, especially on health inequalities and inequities.

Risk of respiratory hospitalization and death, readmission and subsequent mortality: scottish health and ethnicity linkage study.

BACKGROUND: Limited and dated evidence shows ethnic inequalities in health status and health care in respiratory diseases. METHODS: This retrospective, cohort study linked Scotland's hospitalization/death records on respiratory disorders to 4.65 million people in the 2001 census (providing ethnic group). For all-respiratory diseases and chronic obstructive pulmonary disease (COPD) from April 2001 to 2010 we calculated age, country of birth and Scottish Index of Multiple Deprivation (SIMD) adjusted risk ratios (RRs), by sex. We calculated hazard ratios (HRs) for death following hospitalization and for readmission. We multiplied ratios and confidence intervals (CIs) by 100, so the reference Scottish White population's RR/HR = 100. RESULTS: RRs were comparatively low for all-respiratory diseases in Other White British (84.0, 95% CI 79.6, 88.6) and Chinese (67.4, 95% CI 55.2, 82.3) men and high in Pakistani men (138.1, 95% CI 125.5, 151.9) and women (132.7, 95% CI 108.8, 161.8). For COPD, White Irish men (142.5, 95% CI 125.3, 162.1) and women (141.9, CI 124.8, 161.3) and any Mixed Background men (161, CI 127.1, 203.9) and women (215.4, CI 158.2, 293.3) had high RRs, while Indian men (54.5, CI 41.9, 70.9) and Chinese women (50.5, CI 31.4, 81.1) had low RRs. In most non-White groups, mortality following hospitalization and readmission was similar or lower than the reference. CONCLUSIONS: The pattern of ethnic variations in these respiratory disorders was complex and did not merely reflect smoking patterns. Readmission and death after hospitalization data did not signal inequity in services for ethnic minority groups.

Disparate patterns of hospitalisation reflect unmet needs and persistent ethnic inequalities in mental health care: the Scottish health and ethnicity linkage study.

OBJECTIVES: The presence and extent of mental health inequalities in Scotland is unclear. We investigated ethnic variations in psychiatric hospitalisations and compulsory treatment in relation to socioeconomic indicators. DESIGN: In a retrospective cohort study design, using data linkage methods, we examined ethnic variations in psychiatric [any psychiatric, mood (affective), and psychotic disorders) hospitalisations and use of the Mental Health (Care and Treatment) (Scotland) Act 2003 (Emergency Detentions (ED), Short-Term Detentions (STD) and Compulsory Treatment Orders (CTO)] using age (and sex for compulsory treatment), car ownership, and housing tenure adjusted risk ratios (RR). 95% CIs for the data below exclude the reference White Scottish group value (100). RESULTS: Compared to the White Scottish population, Other White British men and women had lower hospitalisation from any psychiatric disorder (RR = 77.8, 95% CI: 71.0-85.2 and 85.8, 95% CI: 79.3-92.9), mood disorder (91.2, 95% CI: 86.9-95.8 and 83.6, 95% CI: 75.1-93.1), psychotic disorder (67.1, 95% CI: 59.9-75.2 and 78.5, 95% CI: 67.6-91.1), CTO (84.6, 95% CI: 72.4-98.9) and STD (88.2, 95% CI: 78.6-99.0). Any Mixed Background women had higher hospitalisation from any psychiatric disorder (137.2, 95% CI: 110.9-169.6) and men and women had a higher risk of psychotic disorder (200.6, 95% CI: 105.7-380.7 and 175.5, 95% CI: 102.3-301.2), CTO (263.0, 95% CI: 105.4-656.3), ED (245.6, 95% CI: 141.6-426.1) and STD (311.7, 95% CI: 190.2-510.7). Indian women had lower risk of any psychiatric disorder (43.2, 95% CI: 28.0-66.7). Pakistani men had lower risk of any psychiatric disorder (78.7, 95% CI: 69.3-89.3), and higher risk of mood disorders (117.5, 95% CI: 100.2-137.9). Pakistani women had similar risk of any psychiatric and mood disorder however, a twofold excess risk of psychotic disorder (227.3, 95% CI: 195.8-263.8). Risk of STD was higher in South Asians (136.9, 95% CI: 109.0-171.9). Chinese men and women had the lowest risk of hospitalisation for any psychiatric disorder (35.3, 95% CI: 23.2-53.7 and 44.5, 95% CI: 30.3-65.5) and mood disorder (51.5, 95% CI: 31.0-85.4 and 47.5, 95% CI: 23.2-97.4) but not psychotic disorders and higher risk for CTO (181.4, 95% CI: 121.0-271.0). African women had higher risk of any psychiatric disorder (139.4, 95% CI: 119.0-163.2). African men and women had the highest risk for psychotic disorders (230.8, 95% CI: 177.8-299.5 and 240.7, 95% CI: 163.8-353.9) and were also overrepresented in STD (214.3, 95% CI: 122.4-375.0) and CTO (486.6, 95% CI: 231.9-1021.1). Differences in hospitalisations were not fully attenuated when adjusted for car ownership and housing tenure and the effect of these adjustments varied by ethnic group. CONCLUSION: Our data show disparate patterns of psychiatric hospitalisations by ethnic group in Scotland providing new observations concerning the mental health care experience of Chinese, Mixed background and White subgroups not fully explained by socioeconomic indicators. For South Asian and Chinese groups in particular, our data indicate under and late utilisation of mental health services. These data call for monitoring and review of services.

International guidelines for the in vivo assessment of skin properties in non-clinical settings: part 1. pH.

BACKGROUND: Skin surface pH is known to influence the dissolution and partitioning of chemicals and may influence exposures that lead to skin diseases. Non-clinical environments (e.g., workplaces) are highly variable, thereby presenting unique measurement challenges that are not typically encountered in clinical settings. Hence, guidelines are needed for consistent measurement of skin surface pH in environments that are difficult to control. METHODS: An expert workshop was convened at the 5th International Conference on Occupational and Environmental Exposure of Skin to Chemicals to review available data on factors that could influence the determination of skin surface pH in non-clinical settings with emphasis on the workplace as a worst case scenario. RESULTS: The key elements of the guidelines are: (i) minimize, to the extent feasible, the influences of relevant endogenous (anatomical position, skin health, time of day), exogenous (hand washing, barrier creams, soaps and detergents, occlusion), environmental (seasonality), and measurement (atmospheric conditions) factors; (ii) report pH measurements results as a difference or percent change (not absolute values) using a measure of central tendency and variability; and (iii) report notable deviations from these guidelines and other relevant factors that may influence measurements. CONCLUSION: Guidelines on the measurement and reporting of skin surface pH in non-clinical settings should promote consistency in data reporting, facilitate inter-comparison of study results, and aid in understanding and preventing occupational skin diseases.