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. 2017 Jun 14;9(6):606. doi: 10.3390/nu9060606

Table 1.

Gender, age group, educational level, geographical area, and BMI status by lifestyle pattern.

Characteristics Mixed Diet-Physically Active-Low Sedentary Lifestyle Pattern Not Poor Diet-Low Physical Activity-Low Sedentary Lifestyle Pattern Poor Diet-Low Physical Activity-Sedentary Lifestyle Pattern All χ2 p
n % n % n % n
All 210 13.0 1020 63.3 381 23.6 1611
Gender
 Men 151 71.9 423 41.5 204 53.5 778 70.1 0.000
 Women 59 28.1 597 58.5 177 46.5 833
Age group
 18–30 years 61 29.0 213 20.9 139 36.5 413 60.3 0.000
 31–49 years 110 52.4 487 47.7 183 48.0 780
 50–64 years 39 18.6 320 31.4 59 15.5 418
Educational level 27.8 0.000
 Primary or less 55 26.2 304 29.8 73 19.2 432
 Secondary 95 45.2 507 49.7 189 49.6 791
 Higher 60 28.6 209 20.5 119 31.2 388
Geographical area
 North-northwest 36 17.1 166 16.3 74 19.4 276 4.7 0.577
 Eastern-Mediterranean 70 33.3 350 34.3 127 33.3 547
 Center 48 22.9 233 22.8 96 25.2 377
 South 56 26.7 271 26.6 84 22.0 411
BMI status
 Normal weight 88 41.9 385 37.7 177 46.5 650 17.3 0.002
 Overweight 90 42.9 386 37.8 136 35.7 612
 Obese 32 15.2 249 24.4 68 17.8 349

Pearson’s chi-square tests were used to investigate the differences in cluster distribution by gender, age group, education level, geographical area, and BMI status.