Table 2. The effect of socio-demographic characteristics and health-related features on the number of days in the last two weeks when the patients did not adhere to their diet (N = 42) – Bursa, Turkey, 2018.
| Variable | Mean ± SS | Significance | Variable | Mean ± SS | Significance | ||
|---|---|---|---|---|---|---|---|
| Age | r = 0,098 | Regular exercise status | Yes | 2,94 ± 4,00 | t = –0,821 | ||
| p = 0,537 | No | 4,20 ± 5,37 | p = 0,416 | ||||
| Sex | Female | 3,65 ± 4,94 | t = –0,051 | Blood pressure (systolic) | r = 0,055 | ||
| Male | 3,72 ± 4,89 | p = 0,960 | p = 0,727 | ||||
| The place where the patient’s spent most of the life | City Center | 3,92 ± 4,64 | F = 0,075 | Blood pressure (diastolic) | t = –0, 044 | ||
| County | 3,25 ± 5,20 | p = 0,928 | p = 0, 780 | ||||
| Village | 3,60 ± 6,06 | ||||||
| Marital status | Married | 3,07 ± 4,37 | t = –1,107 | Blood pressure | hypotensive | 2,90 ± 4,78 | F = 0,201 |
| Single | 4,80 ± 5,60 | p = 0,275 | normal | 3,83 ± 5,14 | p = 0,819 | ||
| hypertensive | 4,15 ± 4,81 | ||||||
| Educational status | Illiterate | 1,83 ± 3,25 | F = –1,954 | Degree of obesity | Weak | 4,00 ± 5,65 | F = 0,674 |
| Literate | 1,00 ± 1,41 | p = 0,099 | Normal | 1,80 ± 2,67 | p = 0,305 | ||
| Primary School | 3,61 ± 4,89 | Overweight | 4,58 ± 5,72 | ||||
| Secondary School | 1,25 ± 2,05 | Obese | 5,25 ± 5,65 | ||||
| High School | 7,55 ± 5,57 | ||||||
| University | 5,66 ± 7,23 | ||||||
| Profession | Retired | 4,06 ± 5,27 | F = –0,275 | Body Mass Index | |||
| Worker | 7,50 ± 9,19 | p = 0,785 | 3,32 ± 4,66 | t = –1,010 | |||
| Housewife | 3,28 ± 4,85 | 5,25 ± 5,65 | p = 0,319 | ||||
| Other | 3,00 ± 3,89 | ||||||
| Working status | No | 3,50 ± 4,78 | t = –0,731 | Presence of obesity | Yes | r = 0,296 | |
| Yes | 5,66 ± 7,23 | p = 0,469 | No | p = 0,057 | |||
| Economic Condition of the family | Income < Expenses | 5,33 ± 5,59 | F = 0,995 | The presence of an individual with chronic kidney failure in the family | Yes | 3,18 ± 4,77 | t = –0,708 |
| Income = Expenses | 3,41 ± 4,72 | p = 0,379 | No | 4,25 ± 5,00 | p = 0,483 | ||
| Income > Expenses | 0,50 ± 0,70 | ||||||
| Smoking Status | Smoker | 1,66 ± 2,88 | F = 0,636 | History of any an surgical operation | No | 4,25 ± 6,65 | t = 0,239 |
| Quit | 4,90 ± 6,00 | p = 0,535 | Yes | 3,63 ± 4,74 | p = 0,812 | ||
| Non-Smoker | 3,42 ± 4,54 | ||||||
| Alcohol use | Drinker | 5,00 ± 0,00 | F = 0,510 | Another chronic disease | No | 3,47 ± 4,83 | t = –0,239 |
| Quit | 1,00 ± 1,00 | p = 0,605 | Yes | 3,84 ± 4,96 | p = 0,812 | ||
| Non-Drinker | 3,86 ± 5,04 |
*p < 0.05 F = One-way Anova test, t = t test, r = Pearson correlation test.