| Literature DB >> 29389550 |
Wen-Harn Pan1, Nai-Hua Yeh1, Ray-Yu Yang2, Wei-Hsuan Lin1,3, Wan-Chen Wu2, Wen-Ting Yeh1, Mi-Kyung Sung4, Haeng-Shin Lee5, Sue-Joan Chang6, Ching-Jang Huang7, Bi-Fong Lin7, Meng-Tsan Chiang3.
Abstract
Phytonutrients may play important roles in human health and yet only recently a few studies have described phytonutrient consumption patterns, using data obtained from daily consumption methods. We aimed to estimate the phytonutrient content in Taiwanese diets and analyzed main food sources of 10 major phytonutrients. In this study, food items and dietary data gathered with the 24-hour dietary recall from 2908 participants in the 2005-2008 Nutrition and Health Survey in Taiwan were used to create a food phytonutrient database with 933 plant-based foods through integrating database, literature search, and chemical analysis and to appraise phytonutrient consumption status of participants. SUDAAN (Survey Data Analysis) was used for generating weighted phytonutrient intake estimates and for statistical testing. In Taiwanese adults, ∼20% met the recommended number of servings for fruits and 30% met that for vegetables from the Taiwan Food-Guide recommendations. However, only 7.4% consumed the recommended numbers for both fruits and vegetables. Those meeting the recommendations tended to be older and with more females compared with those who did not. Phytonutrient intake levels were higher in meeters than nonmeeters. More than 60% of α-carotene, lycopene, hesperetin, epigallocatechin 3-gallate, and isoflavones came from a single phytonutrient-specific food source. In addition, sweet potato leaf, spinach, and water spinach were among the top three sources of multiple phytonutrients. Cross-comparison between this study and two previous studies with similar methodology showed higher mean levels of lycopene and quercetin in the United States, anthocyanidins in Korea, and lutein and zeaxanthin in Taiwan. The Taiwanese phytonutrient pattern is different from that of the Korean and American. It would be interesting to relate phytonutrient patterns to health profiles in the future.Entities:
Keywords: 24-hour recall; Taiwan; database; pattern; phytonutrient
Mesh:
Substances:
Year: 2017 PMID: 29389550 PMCID: PMC9332634 DOI: 10.1016/j.jfda.2016.12.015
Source DB: PubMed Journal: J Food Drug Anal Impact factor: 6.157
Age and sex-specific percentages of participants with intakes of fruits and vegetables at or above recommended levels, NAHSIT, 2005–2008, = 2908.
| Sex | Age group (y) | Weighted proportion of those meeting recommended no. of servings (%) | |||
|---|---|---|---|---|---|
|
| |||||
| For fruits | For vegetables | For fruits & for vegetables | For fruits & vegetables combined | ||
| Men | 19–44 | 13.5 | 23.5 | 5.0 | 14.7 |
| 45–64 | 21.8 | 32.1 | 6.5 | 25.1 | |
| 65+ | 23.5 | 36.4 | 10.9 | 33.5 | |
| All ages | 17.4 | 27.8 | 6.2 | 20.4 | |
| Women | 19–44 | 17.8 | 26.9 | 4.2 | 23.1 |
| 45–64 | 30.0 | 43.5 | 15.6 | 40.3 | |
| 65+ | 17.1 | 39.2 | 9.9 | 28.8 | |
| All ages | 21.6 | 33.8 | 8.6 | 29.3 | |
| All | 19–44 | 15.6 | 25.2 | 4.6 | 18.9 |
| 45–64 | 25.9 | 37.8 | 11.1 | 32.8 | |
| 65+ | 20.2 | 37.8 | 10.4 | 31.1 | |
| All ages | 19.5 | 30.8 | 7.4 | 24.8 | |
NAHSIT = Nutrition and Health Survey in Taiwan.
Proportion of people whose fruit consumption meeting the recommendation of his/her energy intake level.
Proportion of people whose vegetable consumption meeting the recommendation of his/her energy intake level.
Proportion of people whose vegetable consumption meeting the recommendation and fruit consumption also meeting the recommendation of his/her energy intake level.
Proportion of people whose consumption exchange number for vegetable and that for fruit combined is equal or beyond the sum of vegetable and fruit recommended numbers at his/her energy intake level.
Comparison of sex, age, and BMI between those meeting and those not meeting recommended numbers of servings for fruit and vegetables.
| Meeters ( | Nonmeeters ( |
| |
|---|---|---|---|
| Sex (%) | |||
| Male | 42.2 | 50.9 | 0.004 |
| Female | 57.8 | 49.1 | |
| Age (y) | |||
| Men | 49.8 ± 2.0 | 43.1 ± 0.4 | <0.001 |
| Women | 51.2 ± 1.2 | 43.3 ± 0.4 | <0.001 |
| Total | 50.6 ± 1.2 | 43.2 ± 0.2 | <0.001 |
| BMI | |||
| Men | 24.8 ± 0.7 | 24.2 ± 0.2 | NS |
| Women | 23.5 ± 0.5 | 23.3 ± 0.2 | NS |
| Total | 24.1 ± 0.5 | 23.7 ± 0.1 | NS |
Data are presented as % or mean ± standard error.
BMI = body mass index.
Sample size was 175 meeters and 1477 nonmeeters for BMI, because some participants did not attend physical examination.
Chi-square test.
t test.
NS (Not statistically significantly different) for both BMI and log-transformed BMI.
Mean phytonutrient densitya levels per 2000 kcal in those meeting and those not meeting fruit and vegetable recommendations.
| Nutrients (Mean ± SE) | Male | Female | ||||
|---|---|---|---|---|---|---|
|
|
| |||||
| Meeters ( | Nonmeeters ( |
| Meeters ( | Nonmeeters ( |
| |
| ➝ | ➝ | |||||
| Energy (kcal) | 2508 ± 233 | 2262 ± 40 | 1758 ± 61 | 1670 ± 42 | ||
| Adjusted | Adjusted | |||||
| Carotenoids (μg) | ||||||
| α-Carotene | 1238 ± 329 (381) | 450 ± 69 (48) | <0.001 | 932 ± 158 (372) | 520 ± 41 (88) | <0.001 |
| β-Carotene | 9678 ± 1027 (7079) | 3459 ± 172 (1548) | <0.001 | 10829 ± 1148 (7658) | 4870 ± 247 (2565) | <0.001 |
| β-Cryptoxanthin | 351 ± 70 (107) | 108 ± 14 (5) | <0.001 | 403 ± 89 (188) | 154 ± 17 (15) | <0.001 |
| Lutein/zeaxanthin | 18517 ± 2461 (8914) | 6309 ± 386 (1175) | <0.001 | 22416 ± 2645 (12621) | 9546 ± 682 (1720) | <0.001 |
| Lycopene | 2299 ± 823 (1356 | 1466 ± 181 (0 | <0.001 | 2957 ± 709 (3365 | 1777 ± 262 (0 | <0.001 |
| Flavonoids (mg) | ||||||
| Anthocyanidins | 13 ± 2 (4) | 5 ± 1 (0) | <0.001 | 19 ± 4 (9) | 6 ± 1 (0) | <0.001 |
| Hesperetin | 18 ± 4 (12 | 5 ± 1 (0 | <0.001 | 20 ± 7 (14 | 7 ± 2 (0 | <0.001 |
| Quercetin | 18 ± 2 (13) | 15 ± 3 (7) | <0.001 | 17 ± 2 (10) | 11 ± 1 (5) | <0.001 |
| EGCG | 198 ± 57 (0.1) | 294 ± 86 (0.5) | <0.001 | 68 ± 15 (0.1) | 127 ± 13 (0) | <0.001 |
| Isoflavones (mg) | 16 ± 3 (1) | 14 ± 1 (1) | <0.001 | 19 ± 3 (3) | 15 ± 1 (0.2) | <0.001 |
Data are presented as mean ± standard error or mean ± standard error (median).
EGCG = epigallocatechin 3-gallate.
Phytonutrient/caloric intake × 2000 kilocalories.
Wilcoxon rank-sum test was used to compare phytonutrient intakes between those meeting and not meeting recommended fruit and vegetable intakes.
75 percentile value is shown because the median for both meeters and nonmeeters is zero.
Percentage contribution of top five food sources for each phytonutrient.
| α-carotene | β-carotene | β-cryptoxanthin | Lutein/zeaxanthin | Lycopene | |||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
| |||||
| Food | Contribution (%) | Food | Contribution (%) | Food | Contribution (%) | Food | Contribution (%) | Food | Contribution (%) |
| Carrot and related products | 62.9 | Sweet potato leaf | 19.8 | Mandarin oranges & related products | 39.1 | Sweet potato leaf | 36.1 | Tomato & related products | 63.1 |
| Pumpkin | 11.9 | Carrot & related products | 14.3 | Papaya & related products | 18.7 | Spinach | 16.9 | Watermelon & related products | 31.0 |
| Seaweed | 7.5 | Spinach | 11.0 | Oranges & related products | 12.0 | Water spinach | 13.7 | Papaya & related products | 4.8 |
| Sweet potato leaf | 4.1 | Tomato & related products | 9.3 | Sweet potato leaf | 8.0 | Seaweed | 4.8 | Grapefruit & related products | 1.0 |
| Leek | 2.0 | Water spinach | 4.2 | Watermelon & related products | 6.4 | Kale | 2.6 | Plums | 0.05 |
|
| |||||||||
| Cumulative contribution | 88.4 | Cumulative contribution | 58.7 | Cumulative contribution | 84.1 | Cumulative contribution | 74.1 | Cumulative contribution | 100.0 |
|
| |||||||||
| Anthocyanidins | Hesperetin | Quercetin | EGCG | Isoflavones | |||||
|
| |||||||||
| Food | Contribution (%) | Food | Contribution (%) | Food | Contribution (%) | Food | Contribution (%) | Food | Contribution (%) |
|
| |||||||||
| Radishes | 40.7 | Oranges & related products | 73.7 | Tea | 54.5 | Tea | 99.97 | Soybean & related products | 92.4 |
| Bananas | 17.9 | Mandarin oranges & related products | 16.8 | Sweet potato leaf | 9.7 | Peaches | 0.009 | Vegetarian meat products | 6.9 |
| Grapes and related products | 12.2 | Lemons & related products | 8.9 | Spinach | 5.5 | Apples | 0.008 | Bean sprouts | 0.6 |
| Strawberries | 10.8 | Mixed juice | 0.5 | Water spinach | 3.9 | Onion | 0.003 | Brown rice | 0.01 |
| Eggplant | 7.9 | Grapefruit & related products | 0.1 | Nashi pears | 3.8 | Strawberries | 0.002 | Alfalfa sprouts | 0.01 |
|
| |||||||||
| Cumulative contribution | 89.5 | Cumulative contribution | 99.9 | Cumulative contribution | 77.4 | Cumulative contribution | 100.0 | Cumulative contribution | 99.9 |
EGCG = epigallocatechin 3-gallate.
Figure 1Comparison of phytonutrient intake a patterns between Taiwan, the United States (US), and Korea.