<|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:"High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India."
Abstract:"BACKGROUND AND AIMS: In this study, a prevalence survey of various atherosclerosis risk factors was carried out on hitherto poorly studied rural-urban migrants settled in urban slums in a large metropolitan city in northern India, with the aim of studying anthropometric and metabolic characteristics of this population in socio-economic transition. DESIGN: A cross-sectional epidemiological descriptive study. SUBJECTS: A total of 532 subjects (170 males and 362 females) were included in the study (response rate approximately 40%). METHODS AND RESULTS: In this study, diabetes mellitus was recorded in 11.2% (95% Cl 6.8-16.9) of males and 9.9% (95% Cl 7.0-13.5) of females, the overall prevalence being 10.3% (95% Cl 7.8-13.2). Based on body mass index (BMI), obesity was more prevalent in females (15.6%; 95% Cl 10.7-22.3) than in males (13.3%; 95% Cl 8.5-19.5),On the other hand, classifying obesity based on percentage body fat (%BF), 10.6% (95% Cl 6.4-16.2) of males and 40.2% (95% Cl 34.9-45.3) of females were obese. High waist-hip ratio (WHR) was observed in 9.4% (95% Cl 5.4-14.8) of males and 51.1% (95% Cl 45.8-56.3) of the females. All individual skinfolds and sum of skinfolds were significantly higher in females (P < 0.001). In both males and females above 30y of age, there was a steep increase in the prevalence of high WHR, and in females, %BF was very high (particularly in %BF quartile > 30%). Furthermore, total cholesterol and low-density lipoprotein cholesterol were high in both males and females. Stepwise multiple linear regression analysis showed that for both males and females BMI, WHR and %BF were positive predictors of biochemical parameters, except for HDL-c, for which these parameters were negatively associated. CONCLUSIONS: Appreciable prevalence of obesity, dyslipidaemia, diabetes mellitus, substantial increase in body fat, generalised and regional obesity in middle age, particularly in females, need immediate attention in terms of prevention and health education in such economically deprived populations.."
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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: 

Q1 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India
BACKGROUND AND AIMS: In this study, a prevalence survey of various atherosclerosis risk factors was carried out on hitherto poorly studied rural-urban migrants settled in urban slums in a large metropolitan city in northern India, with the aim of studying anthropometric and metabolic characteristics of this population in socio-economic transition. DESIGN: A cross-sectional epidemiological descriptive study. SUBJECTS: A total of 532 subjects (170 males and 362 females) were included in the study (response rate approximately 40%). METHODS AND RESULTS: In this study, diabetes mellitus was recorded in 11.2% (95% Cl 6.8-16.9) of males and 9.9% (95% Cl 7.0-13.5) of females, the overall prevalence being 10.3% (95% Cl 7.8-13.2). Based on body mass index (BMI), obesity was more prevalent in females (15.6%; 95% Cl 10.7-22.3) than in males (13.3%; 95% Cl 8.5-19.5),On the other hand, classifying obesity based on percentage body fat (%BF), 10.6% (95% Cl 6.4-16.2) of males and 40.2% (95% Cl 34.9-45.3) of females were obese. High waist-hip ratio (WHR) was observed in 9.4% (95% Cl 5.4-14.8) of males and 51.1% (95% Cl 45.8-56.3) of the females. All individual skinfolds and sum of skinfolds were significantly higher in females (P < 0.001). In both males and females above 30y of age, there was a steep increase in the prevalence of high WHR, and in females, %BF was very high (particularly in %BF quartile > 30%). Furthermore, total cholesterol and low-density lipoprotein cholesterol were high in both males and females. Stepwise multiple linear regression analysis showed that for both males and females BMI, WHR and %BF were positive predictors of biochemical parameters, except for HDL-c, for which these parameters were negatively associated. CONCLUSIONS: Appreciable prevalence of obesity, dyslipidaemia, diabetes mellitus, substantial increase in body fat, generalised and regional obesity in middle age, particularly in females, need immediate attention in terms of prevention and health education in such economically deprived populations.