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. 2024 Mar 6;10:e45379. doi: 10.2196/45379

Table 3.

Two logistic regression models (for scheduling screenings and performing lab tests). For brevity, the following, statistically insignificant variables were omitted from the table (but were included in the model): gender, cardiovascular disease history, and diabetes history.

Variable Dependent variable (success)

Screenings Lab tests
Independent variables, coefficient (SE)

Constant –2.325a (0.099) –1.434a (0.058)

Gains 0.005 (0.063) –0.011 (0.037)

Losses –0.078 (0.07) –0.055 (0.041)

Recommendation –0.073 (0.062) 0.027 (0.036)

Implementation intentions 0.019 (0.061) –0.003 (0.037)

Empowerment 0.024 (0.069) –0.034 (0.041)

Conducted past checkup(s) 0.433a (0.057) 0.262a (0.028)

Media channel (text message) 0.145a (0.042) 0.159a (0.025)

Age 55-60 years –0.128b (0.058) 0.168a (0.034)

Age 60-65 years –0.326a (0.059) 0.153a (0.033)

Age 65-70 years –0.324a (0.065) 0.221a (0.036)

Age 70-74 years –0.252a (0.062) 0.44a (0.039)

SESc 0.026b (0.011) –0.032a (0.006)

Periphery 0.082 (0.072) 0.14a (0.038)

Chronic illness 0.105b (0.048) 0.156a (0.027)
Observations, n 22,992 44,052
Log likelihood –9162 –23,937
Akaike information criteria 18,361 47,911

aP<.01.

bP<.05.

cSES: socioeconomic status. This is an index defined by the Central Bureau of Statistics (CBS), ranging from 1 to 10, where 1 reflects the weakest status and 10 the highest.