<|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:"School mobility during childhood predicts psychotic symptoms in late adolescence."
Abstract:"Background: Recently, school mobility was identified as a risk factor for psychotic symptoms in early adolescence. The extent to which this risk continues into late adolescence and the trajectories via which this risk manifests remain unexplored. Methods: Psychotic symptoms in 4,720 adolescents aged 18 were ascertained by trained psychologists using the Psychosis-Like Symptoms Interview. Mothers reported on sociodemographic factors (i.e., family adversity, ethnicity and urbanicity) from pregnancy to 4 years; child's involvement in bullying at age 6-7 years; residential mobility at 11 years and school mobility at 11-12 years. Young people reported on their friendships at 8 years, and antisocial behaviour and cannabis use at 15 years. Results: School mobility across childhood significantly predicted psychotic symptoms at 18 years (adjusted odds ratio = 2.15; 95% confidence intervals = 1.06, 4.40). Within path analysis, school mobility (beta = .183, p = .035), involvement in bullying (beta = .133, p = .013), antisocial behaviour (beta = .052, p = .004), cannabis use (beta = .254, p = .020) and female sex (beta = .420, p < .001) significantly predicted psychotic symptoms. Residential mobility (beta = .375, p < .001), involvement in bullying (beta = .120, p = .022) and poor friendships (beta = .038, p = .014) significantly predicted school mobility. Residential mobility indirectly increased the risk of psychotic symptoms via school mobility (beta = .069, p = .041). Conclusions: Children who move schools often are more likely to have experienced peer problems. School mobility, in turn, appears to be a robust marker for psychotic symptoms in late adolescence. Clinicians and teachers should consider school mobility as an important risk indicator for both peer problems and psychopathology.."
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:
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School mobility during childhood predicts psychotic symptoms in late adolescence
Background: Recently, school mobility was identified as a risk factor for psychotic symptoms in early adolescence. The extent to which this risk continues into late adolescence and the trajectories via which this risk manifests remain unexplored. Methods: Psychotic symptoms in 4,720 adolescents aged 18 were ascertained by trained psychologists using the Psychosis-Like Symptoms Interview. Mothers reported on sociodemographic factors (i.e., family adversity, ethnicity and urbanicity) from pregnancy to 4 years; child's involvement in bullying at age 6-7 years; residential mobility at 11 years and school mobility at 11-12 years. Young people reported on their friendships at 8 years, and antisocial behaviour and cannabis use at 15 years. Results: School mobility across childhood significantly predicted psychotic symptoms at 18 years (adjusted odds ratio = 2.15; 95% confidence intervals = 1.06, 4.40). Within path analysis, school mobility (beta = .183, p = .035), involvement in bullying (beta = .133, p = .013), antisocial behaviour (beta = .052, p = .004), cannabis use (beta = .254, p = .020) and female sex (beta = .420, p < .001) significantly predicted psychotic symptoms. Residential mobility (beta = .375, p < .001), involvement in bullying (beta = .120, p = .022) and poor friendships (beta = .038, p = .014) significantly predicted school mobility. Residential mobility indirectly increased the risk of psychotic symptoms via school mobility (beta = .069, p = .041). Conclusions: Children who move schools often are more likely to have experienced peer problems. School mobility, in turn, appears to be a robust marker for psychotic symptoms in late adolescence. Clinicians and teachers should consider school mobility as an important risk indicator for both peer problems and psychopathology.