<|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:"The association between chronic pain and pre-and-post migration experiences in resettled humanitarian refugee women residing in Australia."
Abstract:"Background: Refugee women are potentially at increased risk for chronic pain due to circumstances both in the pre-migration and post-settlement setting. However, this relationship between refugee-related challenges introduced along their migration trajectories and chronic pain remains unclear. This study will therefore examine the association between pre- and post-migration factors and chronic pain in refugee women five years into resettlement in Australia. Methods: The first five waves of data from the 'Building a New Life in Australia' longitudinal study of humanitarian refugees living in Australia was analysed using logistic regression models to investigate the association between predictor variables and chronic pain. The study outcome was chronic pain and predictors were migration process and resettlement factors in both the pre-and post-settlement setting. Results: Chronic pain was reported in 45% (n = 139) of women, and among these a further 66% (n = 120) also reported having a long-term disability or health condition that had lasted 12 months. Pre- migration factors such as increasing age (OR 1.08; 95% CI 1.05, 1.11) and women who migrated under the Women at Risk Visa category (OR 2.40; 95% CI 1.26, 4.56) had greater odds of experiencing chronic pain. Interestingly, post migration factors such as women with better general health (OR 0.04; 95% CI 0.01, 0.11) or those who settled within metropolitan cities (OR 0.29; 95% CI 0.13, 0.68) had lower odds of experiencing chronic pain, and those who experience discrimination (OR 11.23; 95% CI 1.76, 71.51) had greater odds of experiencing chronic pain. Conclusion: Our results show that there is a high prevalence of chronic pain in refugee women across the initial years of resettlement in Australia. This may be in part due to pre-migration factors such as age and migration pathway, but more significantly the post migration context that these women settle into such as rurality of settlement, poorer general health and perceived discriminatory experiences. These findings suggest that there may be many unmet health needs which are compounded by the challenges of resettlement in a new society, highlighting the need for increased clinical awareness to help inform refugee health care and settlement service providers managing chronic pain.."
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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 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
The association between chronic pain and pre-and-post migration experiences in resettled humanitarian refugee women residing in Australia
Background: Refugee women are potentially at increased risk for chronic pain due to circumstances both in the pre-migration and post-settlement setting. However, this relationship between refugee-related challenges introduced along their migration trajectories and chronic pain remains unclear. This study will therefore examine the association between pre- and post-migration factors and chronic pain in refugee women five years into resettlement in Australia. Methods: The first five waves of data from the 'Building a New Life in Australia' longitudinal study of humanitarian refugees living in Australia was analysed using logistic regression models to investigate the association between predictor variables and chronic pain. The study outcome was chronic pain and predictors were migration process and resettlement factors in both the pre-and post-settlement setting. Results: Chronic pain was reported in 45% (n = 139) of women, and among these a further 66% (n = 120) also reported having a long-term disability or health condition that had lasted 12 months. Pre- migration factors such as increasing age (OR 1.08; 95% CI 1.05, 1.11) and women who migrated under the Women at Risk Visa category (OR 2.40; 95% CI 1.26, 4.56) had greater odds of experiencing chronic pain. Interestingly, post migration factors such as women with better general health (OR 0.04; 95% CI 0.01, 0.11) or those who settled within metropolitan cities (OR 0.29; 95% CI 0.13, 0.68) had lower odds of experiencing chronic pain, and those who experience discrimination (OR 11.23; 95% CI 1.76, 71.51) had greater odds of experiencing chronic pain. Conclusion: Our results show that there is a high prevalence of chronic pain in refugee women across the initial years of resettlement in Australia. This may be in part due to pre-migration factors such as age and migration pathway, but more significantly the post migration context that these women settle into such as rurality of settlement, poorer general health and perceived discriminatory experiences. These findings suggest that there may be many unmet health needs which are compounded by the challenges of resettlement in a new society, highlighting the need for increased clinical awareness to help inform refugee health care and settlement service providers managing chronic pain.