Table 3.
Expectation and willingness concerning a genotype-based dietary recommendation (n 414)
| Variable | Total | BMI (kg/m2) | Gender | Age (years) | Education (years) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 30 | ≥ 30 | Women | Men | P | 18–35 | 36–65 | > 65 | P | Student/none | 8/9 | 10 | 12/13 | P | ||||
| n/N‡ | % | % | % | P | % | % | % | % | % | % | % | % | % | ||||
| Providing personal data for genotype-based dietary recommendation*,§,‖ | |||||||||||||||||
| Age | 381/413 | 92·3 | 91·0 | 97·2 | 1e–0 | 90·3 | 94·7 | 1e–0 | 93·4 | 92·6 | 89·4 | 1e–0 | 100·0 | 95·9 | 94·5 | 93·4 | 1e–0 |
| Gender | 383/414 | 92·5 | 91·7 | 95·1 | 1e–0 | 92·5 | 92·5 | 1e–0 | 89·4 | 94·4 | 91·5 | 1e–0 | 100·0 | 91·6 | 95·9 | 93·6 | 1e–0 |
| Whereabouts (GPS, geo data) | 204/413 | 49·5 | 47·2 | 57·4 | 1e–0 | 43·3 | 57·3 | 6e–01 | 29·7 | 54·8 | 66·7 | 2e–05 | 100·0 | 55·1 | 57·3 | 43·7 | 1e–0 |
| Height | 384/414 | 92·9 | 91·5 | 97·5 | 1e–0 | 94·0 | 91·4 | 1e–0 | 87·5 | 94·7 | 96·3 | 1e–0 | 100·0 | 94·2 | 94·5 | 93·9 | 1e–0 |
| Body weight | 387/414 | 93·6 | 92·3 | 98·0 | 1e–0 | 94·3 | 92·6 | 1e–0 | 88·5 | 94·9 | 98·4 | 1e–0 | 100·0 | 89·8 | 94·2 | 96·4 | 1e–0 |
| Health status | 374/412 | 90·9 | 90·3 | 92·9 | 1e–0 | 91·1 | 89·8 | 1e–0 | 96·5 | 87·8 | 90·0 | 1e–0 | 100·0 | 90·2 | 88·2 | 94·2 | 1e–0 |
| Eating behaviour | 379/413 | 91·9 | 90·4 | 96·9 | 1e–0 | 89·6 | 93·4 | 1e–0 | 92·9 | 92·1 | 89·7 | 1e–0 | 100·0 | 94·5 | 94·1 | 93·1 | 1e–0 |
| Physical activity | 388/414 | 93·8 | 92·8 | 97·1 | 1e–0 | 93·2 | 94·5 | 1e–0 | 92·2 | 93·7 | 97·1 | 1e–0 | 100·0 | 96·1 | 96·8 | 92·7 | 1e–0 |
| Sleeping period | 367/410 | 89·5 | 89·1 | 90·9 | 1e–0 | 88·9 | 90·3 | 1e–0 | 84·1 | 91·2 | 93·4 | 1e–0 | 100·0 | 92·0 | 90·8 | 85·1 | 1e–0 |
| Blood sample | 317/412 | 76·9 | 74·4 | 85·6 | 1e–0 | 72·9 | 82·0 | 1e–0 | 82·7 | 75·4 | 72·1 | 1e–0 | 100·0 | 77·1 | 74·4 | 80·5 | 1e–0 |
| Genetic make-up/genetic material (e. g. saliva sample) | 299/409 | 73·2 | 70·5 | 82·0 | 1e–0 | 74·5 | 71·3 | 1e–0 | 72·3 | 73·1 | 74·2 | 1e–0 | 100·0 | 80·2 | 71·6 | 75·0 | 1e–0 |
| Institution for genotype-based dietary recommendation†,§,‖ | |||||||||||||||||
| Family doctor/specialist | 373/413 | 90·3 | 90·0 | 91·5 | 1e–0 | 97·9 | 80·1 | 2e–08 | 86·9 | 90·4 | 98·0 | 1e–0 | 100·0 | 97·1 | 89·1 | 93·6 | 1e–0 |
| Professional nutritional consulting | 294/411 | 71·6 | 70·8 | 74·4 | 1e–0 | 74·2 | 68·0 | 1e–0 | 72·6 | 71·2 | 71·0 | 1e–0 | 0·0 | 86·9 | 62·4 | 71·7 | 2e–03 |
| Health insurance | 283/412 | 68·6 | 67·3 | 73·0 | 1e–0 | 73·4 | 61·9 | 1e–0 | 65·0 | 67·2 | 80·6 | 1e–0 | 100·0 | 75·0 | 71·8 | 65·3 | 1e–0 |
| University/science | 302/412 | 73·3 | 75·8 | 64·7 | 1e–0 | 74·3 | 71·6 | 1e–0 | 78·0 | 69·0 | 80·3 | 1e–0 | 100·0 | 67·0 | 66·4 | 83·2 | 2e–01 |
| Companies/industry | 58/411 | 14·2 | 15·7 | 9·0 | 1e–0 | 10·6 | 19·4 | 1e–0 | 10·4 | 16·6 | 12·9 | 1e–0 | 0·0 | 17·0 | 14·5 | 12·7 | 1e–0 |
| Non-profit organisation | 136/407 | 33·4 | 34·1 | 31·2 | 1e–0 | 29·8 | 38·3 | 1e–0 | 37·5 | 29·4 | 40·0 | 1e–0 | 100·0 | 43·4 | 25·7 | 35·3 | 6e–01 |
BMI, body mass index; P, P-value.
Data are statistically weighted by age, gender, education, domicile and BMI.
Which of the following personal data would you provide for a genotype-based dietary recommendation? Possible answers: yes, no, no answer; shown is ‘yes’ as answer.
By which institution would you make use of genotype-based dietary recommendations? Possible answers: yes, no, no answer; shown is ‘yes’ as answer.
Persons with answers ‘no answer’ or ‘do not know’ are not included in statistical analysis. The number of those answers can be calculated by the difference between the participants, who got the question (n 414), and the number of answers given for each variable.
Screening question, which means that only persons who give a certain answer to further item got this question.
After the definition of a genotype-based dietary recommendation was given.