| Study | Breslin et al. (2013): study GB 2009 |
| Title | Socio-Demographic and Behavioural Differences ans Associations with Happiness for Those Who Are in Good and Poor Health. |
| Source | International Journal of Happiness and Development, 2013, Vol. 1, 142 - 154 |
| URL | https://doi.org/10.1504/IJHD.2013.055641 |
| Public | 16+ aged general public Northern Ireland, 2009 |
| Sample | Probability multi-stage random |
| Non-Response | 45,4% |
| Respondents N = | 4663 |
| Correlate | |
| Author's label | Five portions of fruits and vegetables or more per day |
| Page in Source | 148-149 |
| Our classification | What one eats |
| Operationalization | Self report of daily portions of fruits and vegetables during the last year 1 yes 0 no |
| Observed Relation with Happiness | ||
| Happiness Measure | Statistics | Elaboration/Remarks |
| O-HL-u-sq-n-10-h | OR=1.25 p < .05 | All repondents: CI95[1.10-1.43] |
| O-HL-u-sq-n-10-h | OR=1.33 p < .05 | Respondents in good health only. CI95[1.11-1.59] |
| O-HL-u-sq-n-10-h | OR= ns | Respondents in poor health OR's controled for: - age - social class Happiness dichotomized: <7 vs 7 or more |
| Code | Full Text |
| O-HL-u-sq-n-10-h | Self report on single question: In general, how happy would you say you are? 10 9 8 7 6 5 4 3 2 1 Labels of scale ends not reported 1. Least happy score 2 3 - - 10. Most happy score |
| Symbol | Explanation |
| OR | OR: Odds ratio in binary logistic regression. Happiness is a binary or dichotomous variable with Happy =1 and Unhappy=0. OR < 1 indicates that the odds of being happy-to-being unhappy decreases by a factor OR when 1) the corresponding metric correlate increases by one unit 2) the corresponding category of a categorical correlate is compared to the reference category. OR > 1 indicates an increase by a factor OR for both the above cases. |