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Table 2 List of confounders and covariates used in propensity score processing

From: The impact of racism on the future health of adults: protocol for a prospective cohort study

Variable

Groups/levels

Comments

VARIABLES INCLUDED IN FINAL PROPENSITY SCORE MODEL

Prioritised ethnicity

Māori

Pacific

Asian

Other (Middle Eastern, Latin American, African, and Other)

European/NZ European

Variable used to stratify groups prior to calculation of propensity scores

Nativity

Born in New Zealand

Born outside New Zealand

 

Age group

Ten-year age bands (15–24, 25–34, 35–44, 45–54, 55–64, 65–74, 75+)

Treated as categorical variable

Gender

Female

Male

 

NZDep2013 Quintile [54]

Quintiles 1–5

Treated as categorical variable

Highest educational qualification

Less than upper secondary

Upper secondary

Tertiary

Other

“Other” category included qualification responses that could not be coded to an existing response category.

Employment status

Currently working

Looking for work

Not in labour force

Not in labour force (aged 65+)

Other

“Not in labour force” group split into those below and above retirement age (65+).

“Other” category included responses that could not be coded to an existing response category.

VARIABLES CONSIDERED BUT NOT INCLUDED IN FINAL PROPENSITY SCORE MODEL

Baseline self-rated health

Excellent/Very good/Good

Fair/Poor

Health measure: not included as analysis adjusts for baseline

Baseline mental distress (K10 scale)

Continuous variable (score 0–40)

Health measure: not included as analysis adjusts for baseline

Smoking status

Current smoker (at least monthly)

Not current smoker

Health measure: not included (also substantial missing data)

Index of Multiple Deprivation [55] (IMD)

Decile for total IMD score

Overlap with NZDep quintile; did not improve balance

IMD [55] Employment Subscale

Decile for employment measures in local area

Overlap with NZDep quintile (individual level employment also already included)