Table 8.
Two logistic regression models for message-opening rates, with no controls and controlling for all available demographic characteristics and chronic conditions.
| Variable | Dependent variable (message opening) |
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Without controls | Full set of controls |
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| Independent variable , coefficient (SE) | |||||
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Constant | –0.596a (0.021) | –0.642a (0.028) |
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SESb | 0.112a (0.003) | 0.112a (0.004) |
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Media channel (email) | 0.516a (0.013) | 0.513a (0.014) |
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Gender (male) | —c | –0.034d (0.014) |
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Age 55-60 years | — | 0.004 (0.02) |
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Age 60-65 years | — | 0.059a (0.019) |
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Age 65-70 years | — | 0.089a (0.021) |
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Age 70-74 years | — | 0.024 (0.023) |
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Cardiovascular disease | — | –0.019 (0.025) |
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Diabetes | — | –0.111a (0.018) |
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Chronic illness | — | 0.037d (0.016) |
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Periphery | — | –0.018 (0.022) |
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Conducted past checkup(s) | — | 0.058a (0.017) |
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| Observations, n | 112,802 | 101,675 |
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| Log likelihood | –74,063 | –66,604 |
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| Akaike information criteria | 148,133 | 133,234 |
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aP<.01.
bSES: 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.
cThese variables were not included in this regression model.
dP<.05.