<|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:"A cross-national comparative study of smoking prevalence and cessation between English and Dutch South Asian and African origin populations: the role of national context."
Abstract:"Evidence suggests that Dutch people smoke substantially more than their British counterparts. These differences have been suggested to relate, in part, to the health-related policy differences between the two countries. It is unclear whether these differences affect smoking among ethnic minority groups in similar ways. We assessed whether the lower smoking prevalence in the U.K. general population compared with the Netherlands is also observed in ethnic minority groups (i.e., Dutch vs. English South Asians and Dutch- vs. English-Africans). We used similar surveys from the United Kingdom and the Netherlands to explore these questions. The response rate ranges from 60% in the Health Survey for England and the SUNSET study to 67.5% in Newcastle Heart Project (n = 21,429). After adjustment for other factors, compared with White-Dutch, the prevalence ratio (PR) of current smoking was lower in White-English men (PR = 0.58, 95% CI: 0.49-0.67) and women (PR = 0.56, 0.49-0.65). Among African groups, compared with Dutch-African, the prevalence of current smoking was lower in English- African Caribbean men (PR = 0.48, 0.31-0.75) and women (PR = 0.47, 0.39-0.69) and Sub-Saharan African men (PR = 0.53, 0.29-0.99) and women (PR = 0.37, 0.14-0.99). Among South Asian groups, compared with Dutch South Asian, the prevalence of smoking was lower in English-Indian men (PR = 0.67, 0.51-0.89) and women (PR = 0.16, 0.07-0.37), Pakistani men (PR = 0.62, 0.46-0.82) and women (PR = 0.13, 0.05-0.33), and Bangladeshi men (PR = 0.77, 0.59-0.99) and women (PR = 0.11, 0.03-0.45). Ever-smoking rates were lower and smoking cessation rates were higher in the English ethnic groups than in the Dutch ethnic groups except for smoking cessation among the South Asian women. Similar to the White group, the prevalence of smoking was lower in South Asian and African men and women in England than their corresponding Dutch counterparts. These differences suggest that, among other factors, antismoking policies might have a similar influence on both ethnic majority and minority groups and illustrate the potential importance of national context on public health policy on ethnic minority groups' smoking behavior.."
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 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1].
A cross-national comparative study of smoking prevalence and cessation between English and Dutch South Asian and African origin populations: the role of national context
Evidence suggests that Dutch people smoke substantially more than their British counterparts. These differences have been suggested to relate, in part, to the health-related policy differences between the two countries. It is unclear whether these differences affect smoking among ethnic minority groups in similar ways. We assessed whether the lower smoking prevalence in the U.K. general population compared with the Netherlands is also observed in ethnic minority groups (i.e., Dutch vs. English South Asians and Dutch- vs. English-Africans). We used similar surveys from the United Kingdom and the Netherlands to explore these questions. The response rate ranges from 60% in the Health Survey for England and the SUNSET study to 67.5% in Newcastle Heart Project (n = 21,429). After adjustment for other factors, compared with White-Dutch, the prevalence ratio (PR) of current smoking was lower in White-English men (PR = 0.58, 95% CI: 0.49-0.67) and women (PR = 0.56, 0.49-0.65). Among African groups, compared with Dutch-African, the prevalence of current smoking was lower in English- African Caribbean men (PR = 0.48, 0.31-0.75) and women (PR = 0.47, 0.39-0.69) and Sub-Saharan African men (PR = 0.53, 0.29-0.99) and women (PR = 0.37, 0.14-0.99). Among South Asian groups, compared with Dutch South Asian, the prevalence of smoking was lower in English-Indian men (PR = 0.67, 0.51-0.89) and women (PR = 0.16, 0.07-0.37), Pakistani men (PR = 0.62, 0.46-0.82) and women (PR = 0.13, 0.05-0.33), and Bangladeshi men (PR = 0.77, 0.59-0.99) and women (PR = 0.11, 0.03-0.45). Ever-smoking rates were lower and smoking cessation rates were higher in the English ethnic groups than in the Dutch ethnic groups except for smoking cessation among the South Asian women. Similar to the White group, the prevalence of smoking was lower in South Asian and African men and women in England than their corresponding Dutch counterparts. These differences suggest that, among other factors, antismoking policies might have a similar influence on both ethnic majority and minority groups and illustrate the potential importance of national context on public health policy on ethnic minority groups' smoking behavior.