Job status and medical expenditure in the elderly: Cross-sectional and panel data analysis.

Job status and medical expenditure in the elderly: Cross-sectional and panel data analysis.</p

Result of the covariates.

Result of the covariates.</p

Descriptive statistics of medical expenditure and unmet need in the elderly.

<p>Descriptive statistics of medical expenditure and unmet need in the elderly.</p

Descriptive statistics of medical expenditure and unmet need in the pre-elderly.

<p>Descriptive statistics of medical expenditure and unmet need in the pre-elderly.</p

Job status and unmet need in the elderly and the pre-elderly: Pooled logistic, FE.

<p>Job status and unmet need in the elderly and the pre-elderly: Pooled logistic, FE.</p

Job status and medical expenditure in the pre-elderly: Cross-sectional and panel data analysis.

<p>Job status and medical expenditure in the pre-elderly: Cross-sectional and panel data analysis.</p

Bivariate and fully- adjusted association between independent variables and standardized suicide rate based on merged dataset 2014~2016.

Bivariate and fully- adjusted association between independent variables and standardized suicide rate based on merged dataset 2014~2016.</p

Bivariate and fully- adjusted regression when adjusted for the number of hospital-level medical institutions.

(DOCX)</p

Hierarchical structure of area units and standardized suicide rate by Gu and year (per 100,000 persons).

Hierarchical structure of area units and standardized suicide rate by Gu and year (per 100,000 persons).</p

Year-stratified bivariate and fully- adjusted association between independent variables and standardized suicide rate.

(DOCX)</p