Table 3 Logistic regression with possible factors that help to find the people with dementia
From: How can we better use Twitter to find a person who got lost due to dementia?
Odds ratio (95% CI) | p-value | |
|---|---|---|
Univariate analyses with logistic regression | ||
Age, (below 70 as reference) | ||
70–79 | 6.76 (1.31–35.0) | 0.023 |
80 or above | 0.15 (0.04–0.60) | 0.007 |
Gender, male | 2.22 (0.58–8.49) | 0.243 |
Average no. of tweet-writers | 1.09 (0.91–1.30) | 0.340 |
Average no. of retweeters | 1.01 (0.98–1.04) | 0.440 |
Average no. of followers (in logarithmic scale) | 1.34 (1.03–1.74) | 0.031 |
Original tweet posted by police departments (Yes/No) | 7.80 (0.92–65.8) | 0.103 |
Original tweet posted by media organisations (Yes/No) | 5.33 (1.44–19.8) | 0.112 |
Original tweet with photo (Yes/No) | 6.75 (1.54–29.6) | 0.011 |
Original tweet with webpage links (Yes/No) | 5.67 (1.45–22.1) | 0.012 |
Original tweet with hashtags (Yes/No) | 1.33 (0.39–4.55) | 0.646 |
Original tweet that mentioned 'Alzheimer' (Yes/No) | 6.26 (0.74–53.1) | 0.093 |
Original tweet that mentioned 'dementia' (Yes/No) | 0.16 (0.02–1.36) | 0.093 |
Original tweet that mentioned 'police' (Yes/No) | 3.32 (0.80–13.7) | 0.098 |
No. of retweet / each original tweet | 1.01 (0.97–1.05) | 0.504 |
Multivariate logistic regression model (Stepwise a ) | ||
Age, over 80 | 0.08 (0.01–0.53) | 0.008 |
Original tweets posted by police departments | 25.1 (1.14–554) | 0.041 |
Original tweets with photo | 34.3 (2.55–462) | 0.008 |
