000			01635cam a2200193 4500500
005			20251012014548.0
041			_afre
042			_adc
100	1	0	_aSeydou Ba, Amady _eauthor
700	1	0	_a Gallic, Ewen _eauthor
700	1	0	_a Michel, Pierre _eauthor
700	1	0	_a Paraponaris, Alain _eauthor
245	0	0	_aThe Imaginary Healthy Patient
260			_c2025.
500			_a93
520			_aAnxiety and depression may have serious disabling consequences for health, social, and occupational outcomes for people who are unaware of their actual health status and/or whose mental health symptoms remain undiagnosed by physicians. This article provides a big picture of unrecognised anxiety and depressive troubles revealed by a low score on the Mental Health Inventory-5 (MHI-5) with the help of machine learning methods using the 2012 French National Representative Health and Social Protection Survey (Enquete Sante et Protection Sociale, ESPS) matched with yearly healthcare consumption data from the French Sickness Fund. Compared to people with no latent symptoms who did not declare any depression over the last 12 months, those with unrecognised anxiety or depression were found to be older, more deprived, more socially disengaged, at a higher probability of adverse working conditions, and with higher healthcare expenditures backed, to some extent, by chronic conditions other than anxiety or mood disorder.
786	0		_nRevue d'économie politique | 134 | 6 | 2025-03-17 | p. 805-858 | 0373-2630
856	4	1	_uhttps://shs.cairn.info/journal-revue-deconomie-politique-2024-6-page-805?lang=en&redirect-ssocas=7080
999			_c1531362 _d1531362