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Table 1 Sample Characteristics for Individuals included in fixed effects regressions (with GP visits as outcome variable, waves 3–4, pooled)

From: Which factors affect health care use among older Germans? Results of the German ageing survey

Time-constant variables (not included as independent variables in FE regressions)

Female: N (%)

1372 (52.2)

 

Low education: N (%)

173 (7.9)

Medium education: N (%)

1112 (50.8)

High education: N (%)

906 (41.3)

Place of birth: Germany: N (%)

1902 (86.9)

Predisposing factors

Age (in years): Mean (SD)

64.3 (11.2)

Married, living together with spouse: N (%)

1952 (74.2)

Working: N (%)

860 (32.7)

Retired: N (%)

1498 (57.0)

Other: not employed: N (%)

272 (10.3)

Enabling resources

Equivalence income: Mean (SD)

1794.8 (1782.4)

Self-rated accessibility of doctors = Yes (accessible): N (%)

2112 (80.3)

Need factors

Self-rated health (from “very good” to “very bad”): Mean (SD)

2.4 (0.8)

Number of chronic diseases: Mean (SD)

2.4 (1.8)

Underweight: N (%)

20 (0.8)

Normal weight: N (%)

1029 (39.1)

Overweight: N (%)

1069 (40.6)

Obesity: N (%)

512 (19.5)

Currently smoking: N (%)

366 (13.9%)

Physical activities (in hours per week): Mean (SD)

2.9 (3.6)

Observations

2630

  1. The number in the variables education and place of birth do not sum up to 2630 due to missing values