<|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:"Regional variations and determinants of direct psychiatric costs in Sweden."
Abstract:"Aim: The aim of the present study was to investigate socioeconomic and demographic determinants of direct costs for psychiatric disorders in Sweden. The cost categories were inpatient and outpatient costs, and costs for psychopharmacological drugs. Two consecutive years, 2001 and 2002, were chosen as the study period. Methods: The study included all costs for admissions, visits and prescribed drugs for adults aged >= 18 years in 2001 and 2002 in Sweden. These costs were aggregated and analysed at the county level. A multiple linear regression analysis was fitted to the data, and independent variables (i.e. predictors) were chosen on the basis of previous studies. All cost types (e.g. total, inpatient, outpatient and drug costs) were analysed separately in different models. Results: Large variations in total direct psychiatric costs were found between county councils (for example, the total costs varied between (sic) 112 and (sic) 195 per capita in 2001). The results indicate that psychiatric outpatient care is less utilized in rural than in urban areas, and drugs are more often prescribed in rural areas than in urban areas. Areas with a high proportion of women and people aged 65 years and over are strong predictors of mental healthcare costs, i.e. variables showing that the higher the proportion, the lower the direct costs. Conclusions: Factors such as urbanization, gender, age and number of immigrants are reasons for differences in psychiatric direct costs. On the basis of these findings, it seems plausible to conclude that women, older patients and immigrants may benefit from specialized psychiatry, but that such healthcare does not seem to be provided in all regions.."
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: 

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Regional variations and determinants of direct psychiatric costs in Sweden
Aim: The aim of the present study was to investigate socioeconomic and demographic determinants of direct costs for psychiatric disorders in Sweden. The cost categories were inpatient and outpatient costs, and costs for psychopharmacological drugs. Two consecutive years, 2001 and 2002, were chosen as the study period. Methods: The study included all costs for admissions, visits and prescribed drugs for adults aged >= 18 years in 2001 and 2002 in Sweden. These costs were aggregated and analysed at the county level. A multiple linear regression analysis was fitted to the data, and independent variables (i.e. predictors) were chosen on the basis of previous studies. All cost types (e.g. total, inpatient, outpatient and drug costs) were analysed separately in different models. Results: Large variations in total direct psychiatric costs were found between county councils (for example, the total costs varied between (sic) 112 and (sic) 195 per capita in 2001). The results indicate that psychiatric outpatient care is less utilized in rural than in urban areas, and drugs are more often prescribed in rural areas than in urban areas. Areas with a high proportion of women and people aged 65 years and over are strong predictors of mental healthcare costs, i.e. variables showing that the higher the proportion, the lower the direct costs. Conclusions: Factors such as urbanization, gender, age and number of immigrants are reasons for differences in psychiatric direct costs. On the basis of these findings, it seems plausible to conclude that women, older patients and immigrants may benefit from specialized psychiatry, but that such healthcare does not seem to be provided in all regions.