<|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:"Under-treatment of migrants with diabetes in a universalistic health care system: The ARNO Observatory."
Abstract:"Aims: To assess whereas prevalence, treatment and direct costs of drug-treated diabetes were similar in migrants and in people of Italian citizenship under the universalistic Italian health care system. Methods and results: Drug-treated diabetic individuals were identified in the population-based multiregional ARNO Observatory on the basis of 2010 prescriptions. Migrants were identified by the country-of-birth code on the fiscal identification code. Diabetes prevalence was calculated for Italians (n = 7,328,383) and migrants (n = 527,965). To assess the odds of migrants of having diabetes compared to Italians, we individually matched all migrants to Italians for major confounders (age, sex and place of residence). Finally, all migrants with diabetes were individually matched for confounders to Italians with diabetes to compare prescriptions, hospitalization rates, services use and direct costs for the National Health System. We identified 368,797 subjects with diabetes among Italians and 10,336 among migrants, giving prevalence of 5.03% and 1.96%, respectively. Migrants with diabetes were younger than Italians (52 +/- 13 years vs. 68 +/- 14 years, P < 0.001); after matching, their risk of disease was higher (odds ratio, 1.55, 95% confidence interval, 1.50-1.60). The total cost was 27% lower in migrants, due to lower cost of drugs (-29%), hospital admission (-27%) and health services (-22%). The number of packages/treated person-year of all glucose-lowering drugs was also lower in migrants (-15%) (P < 0.001). Conclusions: Compared to subjects of Italian ancestry, migrants to Italy show a higher risk of diabetes but less intense treatment. Inequalities in health care use are likely and are maintained also in a universalistic system. (C) 2013 Elsevier B. V. All rights reserved.."
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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: 

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Under-treatment of migrants with diabetes in a universalistic health care system: The ARNO Observatory
Aims: To assess whereas prevalence, treatment and direct costs of drug-treated diabetes were similar in migrants and in people of Italian citizenship under the universalistic Italian health care system. Methods and results: Drug-treated diabetic individuals were identified in the population-based multiregional ARNO Observatory on the basis of 2010 prescriptions. Migrants were identified by the country-of-birth code on the fiscal identification code. Diabetes prevalence was calculated for Italians (n = 7,328,383) and migrants (n = 527,965). To assess the odds of migrants of having diabetes compared to Italians, we individually matched all migrants to Italians for major confounders (age, sex and place of residence). Finally, all migrants with diabetes were individually matched for confounders to Italians with diabetes to compare prescriptions, hospitalization rates, services use and direct costs for the National Health System. We identified 368,797 subjects with diabetes among Italians and 10,336 among migrants, giving prevalence of 5.03% and 1.96%, respectively. Migrants with diabetes were younger than Italians (52 +/- 13 years vs. 68 +/- 14 years, P < 0.001); after matching, their risk of disease was higher (odds ratio, 1.55, 95% confidence interval, 1.50-1.60). The total cost was 27% lower in migrants, due to lower cost of drugs (-29%), hospital admission (-27%) and health services (-22%). The number of packages/treated person-year of all glucose-lowering drugs was also lower in migrants (-15%) (P < 0.001). Conclusions: Compared to subjects of Italian ancestry, migrants to Italy show a higher risk of diabetes but less intense treatment. Inequalities in health care use are likely and are maintained also in a universalistic system. (C) 2013 Elsevier B. V. All rights reserved.