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. 2014 Aug 18;34(3):222–230. doi: 10.1037/hea0000098

Table 2. Summary of Cross-Sectional and Longitudinal Regressions Demonstrating the Relationship Between Absolute Income (BHPS) and Wealth Levels (ELSA) and Health Measures.

Cross-sectional analyses Longitudinal analyses
N/Obs. b SE N/Obs. b SE
Note. All regressions included demographic controls: age, gender, education, marital status, disability status, and labor force status, and average income/wealth of an individual’s reference group. BHPS regressions contain additional dummy variables identifying both region and wave.
a High scores on this variable indicate worse health. b High scores on this variable indicate better health.
* p < .05. ** p < .01.
BHPS outcome variables
 Self-rated healtha 31,644/218,589 −0.05** 0.00 25,505/181,830 −0.04** 0.00
 General healthb 20,112/29,692 2.15** 0.18 9,707 0.95** 0.27
 Physical functioningb 20,301/30,009 1.21** 0.15 9,762 0.69** 0.24
 Limitations because of physical healthb 20,169/29,811 1.86** 0.29 9,677 2.26** 0.48
 Painb 20,180/29,843 1.74** 0.22 9,693 1.55** 0.35
ELSA outcome variables
 Self-rated healtha 8,638 −0.19** 0.02 6,036 −0.08** 0.02
 Long-standing illnessa 8,756 −0.22** 0.03 6,244 −0.16** 0.05
 Long-standing illness is limitinga 4,864 −0.24** 0.05 3,383 −0.18** 0.06
 Paina 8,753 −0.13** 0.01 6,240 −0.04* 0.02
 Allostatic loada 3,487 −0.32** 0.04 2,185 −0.08 0.04
 Obesitya 6,762 −0.26** 0.04 4,463 −0.02 0.08