Ethnic and socioeconomic inequalities in air pollution exposure: a cross-sectional analysis of nationwide individual-level data from the Netherlands.

BACKGROUND: Air pollution contributes to a large disease burden and some populations are disproportionately exposed. We aimed to evaluate ethnic and socioeconomic differences in exposure to air pollution in the Netherlands. METHODS: We did a nationwide, cross-sectional analysis of all residents of the Netherlands on Jan 1, 2019. Sociodemographic information was centralised by Statistics Netherlands and mainly originated from the National Population Register, the tax register, and education registers. Concentrations of NO2, PM2·5, PM10, and elemental carbon, modelled by the National Institute for Public Health and the Environment, were linked to the individual-level demographic data. We assessed differences in air pollution exposures across the 40 largest minority ethnic groups. Evaluation of how ethnicity intersected with socioeconomic position in relation to exposures was done for the ten largest ethnic groups, plus Chinese and Indian groups, in both urban and rural areas using multivariable linear regression analyses. FINDINGS: The total study population consisted of 17 251 511 individuals. Minority ethnic groups were consistently exposed to higher levels of air pollution than the ethnic Dutch population. The magnitude of inequalities varied between the minority ethnic groups, with 3-44% higher exposures to NO2 and 1-9% higher exposures to PM2·5 compared with the ethnic Dutch group. Average exposures were highest for the lowest socioeconomic group. Ethnic inequalities in exposure remained after adjustment for socioeconomic position and were of similar magnitude in urban and rural areas. INTERPRETATION: The variability in air pollution exposure across ethnic and socioeconomic subgroups in the Netherlands indicates environmental injustice at the intersection of social characteristics. The health consequences of the observed inequalities and the underlying processes driving them warrant further investigation. FUNDING: The Gravitation programme of the Dutch Ministry of Education, Culture, and Science, the Netherlands Organization for Scientific Research, the Netherlands Organisation for Health Research and Development, and Amsterdam University Medical Center.

Towards Better Culturally Tailored Cardiometabolic Prevention Among the South-Asian Surinamese in the Netherlands.

Objectives: To gain insight in the motives and determinants for the uptake of healthy lifestyles by South-Asian Surinamese people to identify needs and engagement strategies for healthy lifestyle support. Methods: We used a mixed-method design: first, focus groups with South-Asian Surinamese women; second, a questionnaire directed at their social network, and third, interviews with health professionals. Qualitative content analysis, basic statistical analyses and triangulation of data were applied. Results: Sixty people participated (n = 30 women, n = 20 social network, n = 10 professionals). Respondent groups reported similar motives and determinants for healthy lifestyles. In general, cardiometabolic prevention was in line with the perspectives and needs of South-Asian Surinamese. However, there seems to be a mismatch too: South-Asian Surinamese people missed a culturally sensitive approach, whereas professionals experienced difficulty with patient adherence. Incremental changes to current lifestyles; including the social network, and an encouraging approach seem to be key points for improvement of professional cardiometabolic prevention. Conclusion: Some key points for better culturally tailoring of preventive interventions would meet the needs and preferences of the South-Asian Surinamese living in the Netherlands.

Predicting Anxiety in Hospitalized Cancer Patients.

CONTEXT: Anxiety in patients with cancer is highly prevalent; yet it remains underestimated and inadequately assessed. Little is known about predictors for anxiety in hospitalized patients with cancer. Insight in predictors should improve recognition and enable a targeted approach. OBJECTIVES: To determine the prevalence of anxiety and predictors for anxiety in hospitalized patients with cancer at different stages of disease. METHODS: A cross-sectional analysis of patients with cancer admitted to the Utrecht University Medical Center in 2015-2018 was conducted. The Utrecht Symptom Diary, an adapted Dutch version of the Edmonton Symptom Assessment System, was used to assess symptom burden on a numeric rating scale (0 = no symptom and 10 = worst possible symptom). Scores ≥4 were considered clinically relevant. All patients completed the Utrecht Symptom Diary as part of routine care. The first questionnaire after admission was selected. Using multivariable linear regression, the predictive value of potential predictors on anxiety was analyzed. RESULTS: In total, 2144 patients were included, of which 22% reported clinically relevant anxiety. The prevalence of anxiety was highest (36%) in patients receiving symptom-directed palliation only. In the total group, female gender, younger age, depressed mood, sleeping problems, dyspnea, and cancer of the head and neck were predictive of anxiety. Throughout all stages of disease, depressed mood was consistently the strongest predictor. CONCLUSION: We found a high prevalence of anxiety in hospitalized patients with cancer. It is recommended to explore anxiety in hospitalized patients with cancer, in particular when they experience depressed mood. Structural use of a symptom diary during hospitalization facilitates the recognition of anxiety and concurrent symptoms.