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Table 3 Determinants of life satisfaction. Findings of multiple ordered probit regressions

From: Are transgender people satisfied with their lives?

Independent variables

Level of life satisfaction

Age (in years)

0.03*

 

(0.01)

Family situation:—Living together: Married or in partnership (Reference category: Other including [living separately: married or in partnership; divorced; single; widowed])

0.23

 

(0.24)

School education:—General or subject-specific university entrance qualification (e.g. “Abitur”) (Reference: Lower school education including [Completion of polytechnic secondary school; Currently in school education; Secondary school diploma; Intermediate school leaving certificate (e.g. “Realschulabschluss”); Without general school leaving certificate])

1.19***

 

(0.25)

Employment situation:—Full-time employed (Reference category: Unemployed)

0.29

 

(0.30)

- Other including [Part-time employed; Marginally employed (450-euro job or mini-job); Retired/early retirement; Other; In retraining; In vocational training/apprenticeship

0.54 + 

 

(0.30)

Migration background: Yes (Reference category: No)

-0.07

 

(0.36)

Religious affiliation: Having a religious affiliation including [Buddhism;

Christianity; Islam; Other] (Reference category: Non-denominational)

-0.17

 

(0.23)

Already having a gender affirming surgery:—Yes (Reference category: No)

-0.24

 

(0.23)

Frequency of sports activities:—Less than one hour a week (Reference category: No sports activity)

-0.49 + 

 

(0.28)

- Regularly, 1–2 h a week

-0.18

 

(0.33)

- Regularly, 3–4 h a week

0.34

 

(0.35)

- Regularly, more than 4 h a week

0.13

 

(0.35)

Self-rated health (from 1 = very bad to 5 = very good)

0.52**

 

(0.16)

Having at least one chronic disease: Yes (Reference category: No)

-0.38

 

(0.28)

Pseudo R2

0.14

Observations

86

  1. Notes: *** p < 0.001, ** p < 0.01, * p < 0.05, + p < 0.10; Coefficients were reported (larger values correspond to “higher” outcomes); standard errors in parentheses; Listwise deletion was used to handle missing values