Correlational findings | World Database of Happiness

Study Kye & Park (2014): study KR 2009

Public: 30-69 aged, general population, South Korea 2009
Survey name: Unnamed study
Sample
Respondents: N = 1530
Non Response
Assessment: Interview: face-to-face

Correlate

Authors's Label

Income

Our Classification

Distribution

1: 21%. 2:, 69.4%, 3: 9.6%

Operationalization

Annual family income in US $
1. <24.000 (reference)
2. 24.000- 59.999
3. ≥ 60.000

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

O-HL-g-sq-v-4-m

D% = + p < .001

Income
                  % happy %unhappy  %difference
- <24.000            47.5   52.5    -5
- 24.000- 59.999     61.3   38.7    +22.6
- ≥ 60.000           73.8   26.2    +47.6

O-HL-g-sq-v-4-m

OR = 1.19 p < .05

24.000-59.999 (vs <24.000) CI95[0,85-1,66]

O-HL-g-sq-v-4-m

OR = 2.13 p < .05

>60.000 (vs <24.000) CI95[1,24-3,65]

OR's cntroled for:
- socio-demographic factors
  - age
  - marital status
  - education
- stress
- healthy behavior
  - smoking
  - healthy eating
  - regular excercise
- exercise environment
  - parks
  - fitness clubs
  - mountain trails