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. 2017 Jul 10;7:4993. doi: 10.1038/s41598-017-05091-9

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© The Author(s) 2017

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Correlation propensity between keywords, associated with the main risk topics and generic search term ‘diabetes’. Fisher-transformed rs indicate stronger correlation trends for the case of the modeling scenario, comprising self-diagnosis variable (‘With ISB’). Topics consist of the following risk factor components: Poverty (Without ISB): ‘Barriers to housing’, ‘Poor indoors living conditions’; Medical condition (Without ISB): ‘Obesity’, ‘Rheumatism’, ‘Acne’, ‘Eczema’, ‘Anxiety’; Lifestyle (Without ISB): ‘Smoking’; Ethnicity (Without ISB): ‘Pakistani’, ‘Irish’, ‘Celtic’, ‘Black Caribbean’; Poverty (With ISB): ‘Barriers to housing’, ‘Poor indoors living conditions’; Medical condition (With ISB): ‘Insomnia’, ‘Dermatitis’, ‘Acne’, ‘High cholesterol’, ‘Anxiety’; Lifestyle (With ISB): ‘Sometimes/Rarely diet’, ‘Use slimming products’, ‘Trying to lose weight’; Ethnicity (With ISB): ‘Irish’, ‘Somali’, ‘Sikh’, ‘Eastern European’, ‘Black Caribbean’. Data source: Google Trends.