| Literature DB >> 25905062 |
Nooshin Zarei1, Aliyar Ahmadi1.
Abstract
BACKGROUND: There is a shift worldwide towards a diet that is high in processed foods and low in fiber, leading to a corresponding increase in degenerative diseases. These diseases are interrelated with lifestyles and especially with diets. The aim of this study was to investigate the eating habit differences between two generations of mothers and daughters and their tendency towards modern foods.Entities:
Keywords: Dietary habits; Iran; Nutrition transition
Year: 2015 PMID: 25905062 PMCID: PMC4401886
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.429
Types of dietary habits in both generations
| Very traditional | 157 | 52.9 | 47 | 15.5 | 204 | 34 |
| Traditional | 87 | 29.3 | 104 | 34.3 | 191 | 31.83 |
| Both Traditional and modern | 43 | 14.5 | 110 | 36.3 | 153 | 25.5 |
| Relatively modern | 7 | 2.4 | 33 | 10.9 | 40 | 6.67 |
| Modern | 3 | 1 | 9 | 3 | 12 | 2 |
| Total | 297 | 100 | 303 | 100 | 600 | 100 |
Association between dietary habits and demographic and lifestyle factors
| Age | −0.252 | 0.000 | −0.221 | 0.000 |
| Number of children | −0.255 | 0.000 | ||
| Marital status | −0.141 | 0.013 | ||
| expences | 0.141 | 0.036 | 0.204 | 0.002 |
| Use of mass media | 0.233 | 0.001 | 0.234 | 0.000 |
| Level of education | 0.289 | 0.000 | −0.136 | 0.018 |
| Disease history | −0.062 | 0.287 | −0.023 | 0.695 |
| Physical Activity | −0.342 | 0.000 | −0.297 | 0.000 |
| BMI | 0.011 | 0.669 | −0.086 | 0.137 |
One-way ANOVA test of differences in dietary habits
| Ethnicity | 0.197 | 0.459 | 0.639 | 0.301 |
| Social status | 10.021 | 0.000 | 6.355 | 0.000 |
| Occupation status | 2.65 | 0.049 | ||
| Body image | 0.256 | 0.918 | 1.074 | 0.369 |
| Weight changes control | 4.354 | 0.002 | 2.446 | 0.047 |
The linear multiple regression for dietary habits as dependent variable
| Individual costs | −0.013 | −0.155 | 0.877 | 0.375 | 3.79 | 0.000 |
| Social status | 0.329 | 3.81 | 0.000 | 0.231 | 2.75 | 0.007 |
| Use of mass media | 0.189 | 2.422 | 0.017 | 0.214 | 2.774 | 0.006 |
| Physical Activity | −0.369 | −4.679 | 0.000 | −0.172 | −2.203 | 0.03 |
| Age | −0.079 | −0.807 | 0.421 | −0.22 | −1.602 | 0.112 |
| Body image | −0.005 | −0.066 | 0.947 | 0.119 | 1.547 | 0.125 |
| Weight control | 0.012 | 0.155 | 0.877 | 0.11 | 1.409 | 0.162 |
| BMI | −0.018 | −0.234 | 0.815 | 0.12 | 1.397 | 0.166 |
| Disease history | −0.049 | −0.651 | 0.516 | 0.088 | 1.094 | 0.276 |
| Ethnicity | −0.056 | −0.72 | 0.473 | 0.074 | 0.984 | 0.327 |
| Married | −0.045 | −0.498 | 0.62 | |||
| Level of education | 0.074 | 0.779 | 0.437 | −0.05 | −0.36 | 0.719 |
| Employed | −0.017 | −0.209 | 0.835 | −0.008 | −0.074 | 0.941 |
| No. of children | −0.115 | −1.056 | 0.293 | |||
| R = 0.648 − R2 = 0.420 | R = 0.648 − R2 = 0.420 | |||||