title: Multidimensional poverty and health: evidence from a nationwide survey in Japan.
abstract: BACKGROUND
  It is well known that lower income is associated with poorer health, but poverty has several dimensions other than income. In the current study, we investigated the associations between multidimensional poverty and health variables.
  
  
  METHODS
  Using micro data obtained from a nationwide population survey in Japan (N = 24,905), we focused on four dimensions of poverty (income, education, social protection, and housing conditions) and three health variables (self-rated health (SRH), psychological distress, and current smoking). We examined how health variables were associated with multidimensional poverty measures, based on descriptive and multivariable logistic regression analyses.
  
  
  RESULTS
  Unions as composite measures of multiple poverty dimensions were more useful for identifying individuals in poor SRH or psychological distress than a single dimension such as income. In comparison, intersections of poverty dimensions reduced the coverage of individuals considered to be in poverty and tend to be difficult to justify without any explicit policy objective. Meanwhile, education as a unidimensional poverty indicator could be useful for predicting current smoking.
  
  
  CONCLUSIONS
  Results obtained from the current study confirmed the practical relevance of multidimensional poverty for health.
authors.affiliation: Institute of Economic Research, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo, 186-8603, Japan. oshio@ier.hit-u.ac.jp.
authors.forename: Takashi
authors.initials: T
authors.lastname: Oshio
authors.affiliation: School of Economics, University of Hyogo, 8-2-1 Gakuen-Nishi-Machi, Nishiku, Kobe, Hyogo, 651-2197, Japan. mkan@econ.u-hyogo.ac.jp.
authors.forename: Mari
authors.initials: M
authors.lastname: Kan
mesh_terms: D000328:Adult; D005260:Female; D006304:Health Status; D054624:Health Status Disparities; D006306:Health Surveys; D006801:Humans; D007564:Japan / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011203:Poverty / Q000706:statistics & numerical data*; D012907:Smoking / Q000453:epidemiology; D012959:Socioeconomic Factors; D013315:Stress, Psychological / Q000453:epidemiology; D055815:Young Adult