Skip to main content
. 2022 Mar 21;5:21. [Version 1] doi: 10.12688/hrbopenres.13525.1

Table 2. Overview of transition models.

Outcome Outcome variable Model type Predictors
Risk factors
BMI Continuous OLS Age, sex, education, BMI
Stop smoking Binary; reversible Probit Age, sex, education
Diagnoses incidence
Diabetes Binary; absorbing state Probit Age, sex, education, BMI
Cancer Binary; absorbing state Probit Age, sex, education, current smoker, past smoker
Lung disease Binary; absorbing state Probit Age, sex, education, current smoker, past smoker
Hypertension Binary; absorbing state Probit Age, sex, education, diabetes
Heart disease Binary; absorbing state Probit Age, sex, education, diabetes, hypertension, BMI
Stroke Binary; absorbing state Probit Age, sex, education, diabetes, hypertension, cancer, heart disease
Functional limitations
ADLs Ordered Ordered probit Age, sex, education, diabetes, hypertension, cancer, heart disease,
lung disease, stroke, ADLs, IADLs
IADLs Ordered Ordered probit
Mortality incidence
Mortality Binary; absorbing state Probit Age, sex, education, diabetes, hypertension, cancer, heart disease,
lung disease, stroke, ADLs, IADLs
Health care utilisation
ED visits Count 2-part; Poisson Age, sex, education, diabetes, hypertension, cancer, heart disease,
lung disease, stroke, ADLs, IADLs, prior use of the outcome variable
Inpatient admissions Count 2-part; Poisson
Outpatient visits Count 2-part; Poisson

Legend: (I)ADLs: (Instrumental) Activities of Daily Living. BMI: Body mass index. GP: general practitioner. ED: emergency department. OLS: Ordinary least squares. For details of how outcomes are calculated and ordered, see Table 1. Predictors are taken from the wave prior to outcome.