Table 5. Changes in risk factors from baseline to follow-up in the intervention and UC groups (categorical variables).
Variable | Change in number of individuals (%) | P value | |
---|---|---|---|
Intervention | UC | ||
Overall | n = 637 | n = 1,097 | |
Change in adding extra salt to food | −69 (−11.0)† | −73 (−6.9)‖ | 0.003 |
Change in current smoking | −18 (−2.9)† | −6 (−0.6)† | <0.001 |
Change alcohol use in last 30 days | −7 (−1.1)† | 3 (0.2)† | <0.001 |
Women | n = 373 | n = 633 | |
Change in adding extra salt to food | −37 (10.1)† | −45 (7.3)§ | 0.13 |
Change in current smoking | −6 (−1.7)† | 1 (0.2)† | 0.001 |
Change alcohol use in last 30 days | −1 (−0.1)† | 3 (0.5)* | 0.19 |
Men | n = 263 | n = 460 | |
Change in adding extra salt to food | −32 (−12.3)* | −29 (−6.5)‡ | 0.009 |
Change in current smoking | −12 (−4.7)* | −7 (−1.6)* | 0.014 |
Change alcohol use in last 30 days | −6 (−2.4)* | −1 (−0.1)* | 0.006 |
Negative number demonstrates improvement. Data for salt use at follow-up were imputed for 254 observations (using salt use at baseline); data for smoking at follow-up were imputed for 258 observations (using smoking at baseline and sex); data for alcohol consumption at follow-up were imputed for 258 observations (using alcohol consumption at baseline and sex). Change in adding salt to food was obtained by subtracting the number of people reporting adding salt to food at baseline from the number adding salt to food at follow-up. This same approach was applied for the other variables in the table.
*Two to four missing observations.
†Five to eight missing observations.
‡Sixteen missing observations.
§Eighteen missing observations.
‖Thirty-four missing observations.
UC, usual care.