<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Psychoses, ethnicity and socio-economic status."
Abstract:"Background Consistent observation of raised rates of psychoses among Black and minority ethnic (BME) groups may possibly be explained by their lower socio-economic status. Aims To test whether risk for psychoses remained elevated in BME populations compared with the white British, after adjustment for age, gender and current socio-economic status. Method Population-based study of first-episode DSM-IV psychotic disorders, in individuals aged 18-64 years, in East London over 2 years. Results All BME groups had elevated rates of a psychotic disorder after adjustment for age, gender and socio-economic status. For schizophrenia, risk was elevated for people of Black Caribbean (incidence rate ratios (IRR)=3.1, 95% CI 2.1-4.5) and Black African (IRR=2.6, 95% CI 1.8-3.8) origin, and for Pakistani (IRR=3.1, 95% CI 1.2-8.1) and Bangladeshi (IRR=2.3, 95% CI 1.1-4.7) women. Mixed White and Black Caribbean (IRR=7.7, 95% CI 3.2-18.8) and White Other (IRR=2.1, 95% CI 1.2-3.8) groups had elevated rates of affective psychoses (and other non-affective psychoses). Conclusions Elevated rates of psychoses in BME groups could not be explained by socio-economic status, even though current socio-economic status may have overestimated the effect of this confounder given potential misclassification as a result of downward social drift in the prodromal phase of psychosis. our findings extended to all BME groups and psychotic disorders, though heterogeneity remains. Declaration of interest None. Funding detailed in Acknowledgements.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [1];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Psychoses, ethnicity and socio-economic status
Background Consistent observation of raised rates of psychoses among Black and minority ethnic (BME) groups may possibly be explained by their lower socio-economic status. Aims To test whether risk for psychoses remained elevated in BME populations compared with the white British, after adjustment for age, gender and current socio-economic status. Method Population-based study of first-episode DSM-IV psychotic disorders, in individuals aged 18-64 years, in East London over 2 years. Results All BME groups had elevated rates of a psychotic disorder after adjustment for age, gender and socio-economic status. For schizophrenia, risk was elevated for people of Black Caribbean (incidence rate ratios (IRR)=3.1, 95% CI 2.1-4.5) and Black African (IRR=2.6, 95% CI 1.8-3.8) origin, and for Pakistani (IRR=3.1, 95% CI 1.2-8.1) and Bangladeshi (IRR=2.3, 95% CI 1.1-4.7) women. Mixed White and Black Caribbean (IRR=7.7, 95% CI 3.2-18.8) and White Other (IRR=2.1, 95% CI 1.2-3.8) groups had elevated rates of affective psychoses (and other non-affective psychoses). Conclusions Elevated rates of psychoses in BME groups could not be explained by socio-economic status, even though current socio-economic status may have overestimated the effect of this confounder given potential misclassification as a result of downward social drift in the prodromal phase of psychosis. our findings extended to all BME groups and psychotic disorders, though heterogeneity remains. Declaration of interest None. Funding detailed in Acknowledgements.