| Literature DB >> 35405967 |
Imogen Hall1, Alex Pinto2, Sharon Evans2, Anne Daly2, Catherine Ashmore2, Suzanne Ford3,4, Sharon Buckley5, Anita MacDonald2.
Abstract
Phenylketonuria (PKU) can lead to severe intellectual impairment unless a phenylalanine-restricted diet starts early in life. It requires expert user knowledge about the protein content of foods. The ability of adults or caregivers of children with PKU to calculate protein exchanges from food labels on manufactured foods and any difficulties they encounter in interpreting food labels has not been studied systematically. Individuals with PKU or their caregivers residing in the UK were invited to complete a cross-sectional online survey that collected both qualitative and quantitative data about their experience when calculating protein exchanges from the food labelling on prepackaged foods. Data was available from 246 questionnaire respondents (152 caregivers of patients with PKU aged <18 years, 57 patients with PKU aged ≥18 years or their caregivers (n = 28), and 9 teenagers with PKU). Thirty-one per cent (n = 76/246) found it difficult to interpret food protein exchanges from food labels. The respondents listed that the main issues with protein labelling were the non-specification of whether the protein content was for the cooked or uncooked weight (64%, n = 158/246); labels stating foods contained 0 g protein but then included protein sources in the list of ingredients (56%, n = 137/246); the protein content being given after a product was prepared with regular milk rather than the dry weight of the product (55%, n = 135/246); and the non-clarity of whether the protein content was for the weight of prepared or unprepared food (in addition to non-specification of cooked or uncooked weights on food labelling) (54%, n = 133/246). Over 90% (n = 222/246) of respondents had experienced problems with food labelling in the previous six months. Misleading or confusing protein labelling of manufactured foods was common. The food industry and legislators have a duty to provide accurate and clear protein food labelling to protect populations requiring low protein diets.Entities:
Keywords: food labelling; phenylketonuria; protein
Mesh:
Year: 2022 PMID: 35405967 PMCID: PMC9003307 DOI: 10.3390/nu14071355
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Rating of interpretation of protein exchanges from food labels by respondents (n = 246) for food and drinks.
| Food Item | Impossible | Difficult | Neither Easy/Not Easy | Fairly | Very Easy | Do Not Know | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| % |
| % |
| % |
| % |
| % |
| % |
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| 7 | 16 | 24 | 60 | 18 | 45 | 35 | 87 | 15 | 37 | 0.4 | 1 |
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| 10 | 25 | 27 | 67 | 19 | 46 | 30 | 75 | 13 | 31 | 0.8 | 2 |
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| 5 | 13 | 28 | 70 | 13 | 31 | 21 | 51 | 11 | 27 | 22 | 54 |
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| 3 | 8 | 31 | 76 | 13 | 32 | 26 | 63 | 10 | 25 | 17 | 42 |
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| 3 | 8 | 26 | 63 | 15 | 36 | 16 | 40 | 9 | 21 | 32 | 78 |
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| 5 | 12 | 40 | 98 | 12 | 29 | 15 | 37 | 7 | 16 | 22 | 54 |
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| 4 | 9 | 21 | 51 | 17 | 42 | 29 | 71 | 22 | 53 | 8 | 20 |
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| 2 | 6 | 18 | 44 | 19 | 47 | 33 | 81 | 21 | 52 | 7 | 16 |
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| 5 | 11 | 27 | 67 | 15 | 37 | 18 | 44 | 6 | 15 | 29 | 72 |
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| 5 | 11 | 32 | 78 | 10 | 25 | 22 | 53 | 8 | 19 | 24 | 60 |
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| 0.4 | 1 | 13 | 33 | 13 | 31 | 33 | 82 | 15 | 37 | 25 | 62 |
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| 8 | 20 | 35 | 87 | 13 | 31 | 13 | 32 | 4 | 10 | 27 | 66 |
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| 4 | 10 | 39 | 95 | 10 | 24 | 19 | 46 | 4 | 10 | 25 | 61 |
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| 4 | 9 | 29 | 72 | 11 | 27 | 20 | 49 | 7 | 18 | 29 | 71 |
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| 3 | 7 | 39 | 97 | 11 | 26 | 19 | 46 | 7 | 16 | 22 | 54 |
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| 2 | 4 | 33 | 82 | 11 | 28 | 29 | 71 | 15 | 38 | 9 | 23 |
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| 1 | 2 | 12 | 29 | 14 | 35 | 38 | 94 | 29 | 72 | 6 | 14 |
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| 1 | 3 | 13 | 32 | 15 | 36 | 31 | 76 | 31 | 77 | 9 | 22 |
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| 2 | 4 | 15 | 38 | 18 | 44 | 28 | 69 | 29 | 71 | 8 | 20 |
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| 3 | 7 | 33 | 82 | 11 | 26 | 19 | 46 | 9 | 22 | 26 | 63 |
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| 0 | 0 | 17 | 41 | 15 | 38 | 31 | 76 | 18 | 44 | 19 | 47 |
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| 3 | 8 | 31 | 75 | 10 | 24 | 24 | 60 | 15 | 36 | 18 | 43 |
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| 1 | 3 | 24 | 58 | 15 | 38 | 30 | 74 | 15 | 37 | 15 | 36 |
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| 0.4 | 1 | 19 | 47 | 12 | 30 | 30 | 74 | 13 | 33 | 25 | 61 |
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| 7 | 17 | 36 | 88 | 7 | 16 | 17 | 42 | 5 | 13 | 28 | 70 |
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| 6 | 14 | 30 | 74 | 9 | 23 | 14 | 35 | 5 | 12 | 36 | 88 |
Verbatim comments about ease of calculating protein exchanges from protein content on manufactured food labels.
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Issues associated with food protein labelling identified by respondents (n = 246). NB: respondents could choose more than one answer.
| Problem | Number | % of Responses |
|---|---|---|
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| 158 | 64 |
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| 137 | 56 |
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| 135 | 55 |
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| 133 | 54 |
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| 118 | 48 |
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| 104 | 42 |
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| 102 | 41 |
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| 98 | 40 |
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| 93 | 38 |
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| 93 | 38 |
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| 80 | 33 |
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| 77 | 31 |
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| 57 | 23 |
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| 50 | 20 |
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| 4 | 2 |
Verbatim comments of respondents in 9 thematically analysed categories explaining their practical problems with protein food labelling in the 6 months prior to completion of the questionnaire.
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Suggested changes to protein labelling as requested by questionnaire respondents (respondents could choose more than one response), n = 246.
| Recommendations |
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Foods should be labelled with a warning on the packaging if the recipe has changed (60%, Protein should be given for cooked and uncooked weights (58%, Protein analysis should be given per 100 g as well as per portion size (55%, Protein analysis should be given per 100 g rather than per 100 mL (53%, The ingredients list should be made to be more easily readable (51%, Protein amount should always be identified, even at 0.1 g/100 g ( Protein value should always be given for dried weight (42%, None (1%, |