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. 2022 Mar 9;1(1):pgac011. doi: 10.1093/pnasnexus/pgac011

Table 1.

Definition of variables.

Type Concept Measure Level of measurement
Outcome Poor physical health Self-reported days of poor physical health per month Discrete (0–30)
Poor mental health Self-reported days of poor mental health per month
Independent variables Mass political polarization Perceived difference between self vs. average state voter Continuous (0–10) (0 = lowest, 10 = greatest)
Perceived difference between self. vs. average US voter
Covariates Partisanship Party identification Ordinal (1–7) (1 = Strong Dem; 7 = Strong Rep.)
Strength of partisanship Ordinal (0–3) (0 = nonpartisan; 1 = weak partisan; 2 = moderate partisan; 3 = strong partisan)
Health conditions BMI 1 Continuous
At risk from smoking 2 Binary (yes/no)
Health insurance % uninsured Binary (yes/no)
Basic demographics Age Continuous
Gender Binary (woman/other)
Income 3 Ordinal ranking from 1 to 11 (lowest to highest)
Race/ethnicity Categorical (Black, White, Asian, Hispanic, and other race)
(%) Some college or more Binary (yes/no)
Extended demographics Employment status Categorical (employed, unemployed, not in labor force)
Marital status 4 Binary (never married: yes/no, where no = married, separated, widowed, or divorced)
Religion Categorical (Protestant, Catholic, other Christian, Jewish, Muslim, other religion, and no religion)
Fixed effects State State 50 US states
1

BMI was calculated after surveying respondents’ self-reported height and weight.

2

Risk from smoking: we adhere to the BRFSS definition for risk from smoking, defined as a person (1) having smoked at least 100 cigarettes in their lifetime and (2) currently smoking every day or some days.

3

Income was simplified into an 11-point scale, where 1 = less than $10,00, 2 = $10,000–$19,999, 3 = $20,000–$29,999, 4 = $30,000–$49,999, 5 = $50,000–$69,999, 6 = $70,000–$99,999, 7 = $100,000–$124,999, 8 = $125,000–$149,999, 9 = $150,000–$199,999, 10 = $200,000–$249,999, and 11 = $250,000 or more.

4

Marital status was simplified into 2 categories: “never married” (36.9% in our sample vs. 32.3% in the population), and “other” (63.1% in our sample, vs. 67.7% in the population). Raked weighting required us to simplify categories due to the very small percentages of widowed (9∼11%), divorced (∼5%), or separated individuals (∼2%), relative to other categories.