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Article

The Difference in Nutrient Intakes between Chinese and Mediterranean, Japanese and American Diets

by
Ronghua Zhang
1,†,
Zhaopin Wang
2,3,†,
Ying Fei
2,3,
Biao Zhou
1,
Shuangshuang Zheng
2,3,
Lijuan Wang
2,3,
Lichun Huang
1,
Shuying Jiang
2,3,
Zeyu Liu
2,3,
Jingxin Jiang
2,3 and
Yunxian Yu
2,3,*
1
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
2
Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
3
Chronic Disease Research Institute, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2015, 7(6), 4661-4688; https://doi.org/10.3390/nu7064661
Submission received: 11 April 2015 / Revised: 18 May 2015 / Accepted: 27 May 2015 / Published: 9 June 2015
Versions Notes

Abstract

:
Across countries, the predominant diets are clearly different and highly related with human health. Therefore, it is necessary to evaluate dietary nutrients between them. This study aimed to evaluate dietary nutrients in China and compare those between Chinese and Mediterranean (Italian), Japanese and American diets. Dietary intakes of 2659 subjects in south-east China, Zhejiang province, from 2010 to 2012, were estimated by three consecutive 24-h dietary recalls. The contribution of carbohydrate to total energy in Chinese subjects was lower than that in Japanese and American subjects, but higher than that in Italian subjects. However, the energy contribution from fat in Chinese subjects was higher than that in Japanese and American subjects, and similar to that in Italian subjects. Moreover, the Chinese diet had lower daily intakes of fiber, calcium, phosphorus, potassium, selenium, vitamin A, vitamin B1, vitamin B2 and vitamin C, compared with the Japanese, American and Italian diets. Nevertheless, intakes of sodium, iron, copper and vitamin E were higher among Chinese people relative to the people of other three countries. The present study demonstrated that the structure of the Chinese diet has been shifting away from the traditional diet toward high-fat, low-carbohydrate and low-fiber diets, and nutrients intakes in Chinese people have been changing even worse than those in American people.

1. Introduction

Over the past decade, along with rapid economic growth and social changes, Chinese people have experienced remarkable shifts in its traditional diet and disease patterns [1,2]. As the classic eating pattern shifts, grain intake has significantly decreased; fat intake has dramatically increased; daily intake of salt has been much greater than that recommended; but intake of fruit and vegetables is insufficient [3]. These shifts in the composition of diet have been the basis for the change in nutrient intakes. An imbalanced nutrient intake is associated with increased morbidity and mortality from diseases, including diabetes, hypertension, dyslipidemia, cardiovascular diseases, certain cancers, etc. [4,5]. Moreover, assessing intake of nutrient is necessary to monitor nutritional status. It allows us to identify people nutritionally at risk due to inadequate or excessive intake of specific nutrients, to plan and evaluate nutrition intervention projects, and to establish dietary recommendations and food regulations [6,7].
Nowadays, there are predominant types of diets in each country. Some predominant diets are described as healthy diets while others are generally qualified as unhealthy. Both the Mediterranean and Japanese diets are known to be healthy. People in the Mediterranean countries have a low risk of cardiovascular disease, while the Japanese people are famous for their longevity/healthy life expectancy [8]. The Mediterranean diet has long been reported to be the optimal diet for preventing non-communicable diseases and preserving good health [9]. It is characterized by a high intake of cereals, nuts, fruit and vegetables, fish and olive oil, a low intake of dairy products, red meat, processed meats and sweets, and a moderate intake of wine during meals [9,10]. The Japanese diet also covers large amounts of rice, fruit and vegetables, soy-derived proteins and fish, but there is much lower intake of energy and oils/fats [11]. However, the Western diet is characterized by a high consumption of red and processed meats, high-fat dairy products, refined grains, and high-sugar drinks and desserts besides alcoholic beverages, and relatively low intakes of fruit, vegetables, whole-grain foods, fish and poultry [12]. This diet may have negative effects on health, specifically on the risk for obesity, metabolic syndrome, type 2 diabetes, cardiovascular disease as well as cancer [13].
There have been four national nutrition surveys in China, conducted in 1959, 1982, 1992 and 2002. With rapid economic development and urbanization, the pace of nutrition transition has dramatically accelerated in China [2,14]. It is difficult to reflect the nutritional and healthy problems of residents timely for the national nutrition survey carried out once every 10 years. Therefore, the way of national nutrition survey has changed to one cycle every 5 years since 2010 (three years for the first time). Our study was based on the data of the fifth national nutrition survey in south-east China, Zhejiang province, from 2010 to 2012. Although the nutrition survey in Zhejiang province cannot completely reflect the nutritional status all over China, it can indicate the nutritional status in eastern-coast developed provinces and in urbanized provinces. So far, there has been no report which compared the nutrient intakes between Chinese and other types of diets in males and females for different age groups. Therefore, this study aimed to evaluate energy, macro- and micro-nutrients intakes in south-east Chinese diet and compare those between Chinese and Mediterranean (Italian), Japanese and Western (American) diets in males and females for different age groups.

2. Methods

2.1. Study Design and Subjects

All data of Chinese population in this study were derived from part of the fifth national nutrition survey, China National Nutrition and Health Monitoring Survey, from 2010 to 2012. For Zhejiang province, large cities of Jianggan District in Hangzhou and Jiangdong District in Ningbo were selected in 2010; small-medium cities of Jindong District in Jinhua and Tongxiang County in Jiaxing in 2011; Songyang County in Lishui and Anji County in Huzhou in 2012. We randomly selected six communities in each city, district or county using a randomized probability-proportional-to-size sampling scheme. 25 households in each community constituted a cluster by geography of house address. We randomly selected three clusters, totally 75 households, in each community. Dietary data of 30 households, which were constituted from 25 households in the first cluster and the first five households in second cluster, were collected using three consecutive 24-h dietary recalls. The rest 20 households in second cluster and 25 households in the third cluster were investigated, using instant food questionnaire and food frequency questionnaire to obtain dietary data. The survey was conducted from August to October in each calendar year.
In the present study, we only used dietary data from three consecutive 24-h dietary recalls to compare nutrient intakes between Chinese and other types of diets. That was because 24-h dietary recalls obtained extensive and complete data on all foods and beverages consumed, and then it provided a more precise assessment of intake of nutrients than food frequency methods [15,16]. Overall, 8175 subjects (3908 males and 4267 females) were recruited in this nutrition survey. Among them, 2659 individuals (1274 males and 1385 females) aged 2.0–89.2 years, participating in 24-h dietary recalls, were selected in the present study. The protocol of this survey was approved by the Medical Ethical Committee of Zhejiang Provincial Center of Disease Control and Prevention (CDC), and written informed consent was obtained from all participants.

2.2. Dietary Assessment

In this study, dietary intakes at the individual level for all household members aged ≥2 years were collected by well-trained CDC workers, using three consecutive 24-h dietary recalls (two weekdays and one weekend day) [2,17]. For the younger children aged below 12 years, their parents or primary caregivers were asked to recall the child’s food consumption. The investigated information included the type and amount of all food items and consumption place by the aid of food models and pictures. Additionally, home cooking oil and condiment consumption in each household were collected with a household food inventory weighing method on the same 3 days. The percentage of the oil and condiments of each family member was calculated by the ratio of his or her energy intake to the energy intake of all family members [18]. The daily intake of energy and nutrients was averaged over 3 days to assess usual dietary intake. The main nutrients of interest were total energy, carbohydrate, protein, fat, fiber and cholesterol, and intake of vitamins and minerals. Nutrient intakes for each food item consumed were calculated by multiplying the nutrient content listed in the Chinese Food Composition Table (FCT) [19]. Total dietary intake of each nutrient was calculated by adding the intake of that nutrient from each food item consumed.

2.3. Anthropometric and Demographic Variables Assessment

Anthropometric measurement (only for subjects aged ≥6 years) and demographic variables were collected from each individual. Body weight and height were respectively measured to the nearest 0.1 kg and 0.1 cm when the subjects wore light clothing and no shoes. Body mass index (BMI) was calculated as weight (kg)/height squared (m2). Waist circumference was measured to the nearest 0.1 cm at the midpoint between the top of the iliac crest and the lower margin of the last palpable rib in the mid axillary line using a tape measure. A questionnaire was used to collect information on demographic variables, including age, sex, educational level, marital status, occupation, annual family income, smoking and alcohol consumption and history of diseases.

2.4. Data of Mediterranean, Japanese and Western Diets

To compare nutrient intakes between Chinese diet and Mediterranean, Japanese, and Western diets, the data of the third National Food Consumption Survey (INRAN-SCAI 2005–06) in Italy [7], the National Health and Nutrition Survey (2007) in Japan provided by National Institute of Health and Nutrition [20], and the National Health and Nutrition Examination Survey (NHANES 2009–2010) in America from CDC [21] were obtained from corresponding website, respectively.

2.5. Statistical Analysis

The data of energy and nutrient intakes were presented as mean ± SD by sex and age. Due to different age categories across countries, age categories were grouped as 1–6 years, 7–14 years, 15–19 years, 20–29 years, 30–39 years, 40–49 years, 50–59 years, 60–69 years, and 70 years and above in data of Japanese and American diets, while age categorized in children (3–9 years), teenagers (10–17 years), younger adults (18–64 years) and older adults (65 years and above) in data of Italian diets. When nutrient intakes were compared between Chinese and other country population, the age categories in Chinese population were grouped according to corresponding age categorization. Food energy was expressed as kilocalories (kcal). Vitamin A was expressed in retinol equivalents (REs). The distributions of variables between male and female subjects were tested using Student’s t-test for the continuous variables and Pearson’s χ2 test for the categorical variables. Comparison of daily intake of nutrients adjusted for energy by age in Chinese was tested using one-way analysis of variance. Moreover, one-sample t-test was used to compare nutrient intakes between Chinese and Japanese, Italian diets, and two-independent-sample t-test was used to compare nutrient intakes between Chinese and American diets. All statistical tests were two-tailed. We used the false discovery rate (FDR) to control the false rate of multiple testing [22], and p value less than 0.04 was considered statistically significant after FDR adjustment. All analyses were performed using Statistical Analysis System software version 9.2 (SAS Institute Inc., Cary, NC, USA).

3. Results

3.1. Characteristics of the Study Population in Chinese

The anthropometric and socio-demographic characteristics of the Chinese subjects by sex are presented in Table 1. Of 2659 participants, 47.91% were males. Mean ages of males and females were 49.43 and 47.80 years, respectively. Distributions of BMI, annual family income and history of diseases (hypertension, diabetes, dyslipidemia and stroke) were comparable between males and females. However, males were more likely to be married, higher educational level, longer waist circumference, and more tobacco smoking and alcohol drinking than females. In general, intake of energy and nutrients in males were significantly higher than those in females (Supplementary Table S1). Mean energy intakes were 2194.78 kcal and 1766.14 kcal for males and females, respectively. Compared with females, males consumed more cholesterol (323.10 mg versus 289.91 mg), fat (89.06 g versus 72.73 g), protein (73.01 g versus 61.89 g) and carbohydrate (261.47 g versus 219.11 g) except fiber (10.67 g versus 10.21 g). However, the mean energy contributions from fat, protein and carbohydrate in males were 36.46%, 13.62% and 48.06%, respectively, which were mildly lower than those in females (37.03%, 14.27% and 49.44%, respectively) with no significant difference in fat. In addition, males consumed more calcium, phosphorus, potassium, sodium, iron, zinc, copper, selenium, manganese, vitamin A, vitamin B1, vitamin B2 and vitamin E (all p < 0.05) except vitamin C (p > 0.05). Besides, we also presented the details of energy and nutrient intakes in Chinese by age and sex in Table 2, Table 3, Table 4, Table 5 and Table 6.
Table
Table 1. The distributions of socio-demographic characteristics of study subjects by sex in the Chinese group (N = 2659).
Table 1. The distributions of socio-demographic characteristics of study subjects by sex in the Chinese group (N = 2659).
VariablesMales (N = 1274)Females (N = 1385)p value
Mean ± SD
Age, year49.43 ± 18.7747.80 ± 18.210.0229 *
Height, cm165.15 ± 9.37154.93 ± 7.22<0.0001
Weight, kg63.37 ± 12.5955.33 ± 10.17<0.0001
Body mass index, kg/m223.06 ± 3.5422.95 ± 3.550.4271
Waist circumference, cm82.55 ± 11.1178.65 ± 10.50<0.0001
N (%)
Education <0.0001
Primary school or below549 (43.09)714 (51.55)
Junior or senior high school636 (49.92)586 (42.31)
College or above89 (6.99)85 (6.14)
Missing----
Marital status 0.0008
No205 (16.09)293 (21.16)
Yes1069 (83.91)1092 (78.84)
Missing----
Occupation <0.0001
Student98 (7.69)113 (8.16)
Mental worker120 (9.42)79 (5.70)
Manual worker553 (43.41)508 (36.68)
Retiree203 (15.93)265 (19.13)
Other300 (23.55)420 (30.32)
Missing----
Income, yuan/year 0.7306
<10,000252 (21.25)291 (22.45)
10,000–30,000759 (64.00)811 (62.58)
>30,000175 (14.76)194 (14.97)
Missing8889
Tobacco smoking <0.0001
No558 (47.57)1254 (98.51)
Yes615 (52.43)19 (1.49)
Missing101112
Alcohol drinking <0.0001
No529 (45.1)991 (77.79)
Yes644 (54.9)283 (22.21)
Missing101111
Hypertension 0.2011
No899 (78.38)960 (76.19)
Yes248 (21.62)300 (23.81)
Missing127125
Diabetes 0.3341
No591 (88.08)672 (86.38)
Yes80 (11.92)106 (13.62)
Missing603607
Dyslipidemia 0.8895
No492 (85.86)582 (85.59)
Yes81 (14.14)98 (14.41)
Missing701705
Stroke 0.1418
No1153 (98.29)1262 (98.98)
Yes20 (1.71)13 (1.02)
Missing101110
* Bold represents statistical significance.
Table
Table 2. Comparison of daily intake of energy and macronutrients by age and sex in the Chinese, Japanese and American groups.
Table 2. Comparison of daily intake of energy and macronutrients by age and sex in the Chinese, Japanese and American groups.
Energy, Macronutrients and AgeMales (N = 1274)Females (N = 1385)
ChineseJapaneseAmericanChineseJapaneseAmerican
NMean ± SDNMeanNMean ± SDNMean ± SDNMeanNMean ± SD
Total energy, kcal
1–6371287 ± 61024313895521522 ± 463 *331027 ± 3662451270 *5391441 ± 439 *
7–14631777 ± 7023922103 *6221997 ± 617 *751524 ± 4944031871 *5941830 ± 551 *
15–19231951 ± 6872012440 *3602505 ± 923 *291579 ± 5681921873 *3161806 ± 653
20–29612229 ± 77130421833632553 ± 959 *841959 ± 124236116844461877 ± 645
30–391472270 ± 90154022083942672 ± 966 *1851802 ± 58766117254421835 ± 587
40–492672423 ± 8425372153 *4072601 ± 929 *2921898 ± 6105701719 *5081759 ± 573 *
50–592592339 ± 8555872214 *4072387 ± 9143011858 ± 6926811774 *3841715 ± 576 *
60–692552150 ± 84666421953992071 ± 7242631696 ± 76576217594011633 ± 563
≥701621982 ± 76969619824171884 ± 5751231583 ± 58984616134691509 ± 515
Carbohydrate, g
1–637161.2 ± 97.9243195.9 *552207.1 ± 68.4 *33115.1 ± 47.0245174.7 *539195.3 ± 64.1 *
7–1463207.9 ± 89.9392268.1 *622265.9 ± 85.8 *75182.3 ± 79.0403251.6 *594247.3 ± 77.4 *
15–1923250.5 ± 102.2201333.6 *360323.4 ± 125.4 *29184.2 ± 78.9192245.4 *316237.5 ± 90.1 *
20–2961254.0 ± 114.1304300.2 *363319.4 ± 126.4 *84238.2 ± 231.3361223.2446244.6 ± 89.1
30–39147269.0 ± 142.3540299.3 *394322.3 ± 129.7 *185212.0 ± 91.8661235.4 *442232.2 ± 82.0 *
40–49267279.8 ± 111.1537290.4407314.4 ± 120.5 *292233.8 ± 91.2570233.1508226.3 ± 82.8
50–59259275.1 ± 115.3587296.8 *407282.6 ± 114.7301234.4 ± 102.9681248.2 *384217.6 ± 82.8 *
60–69255266.0 ± 129.2664306.7 *399247.9 ± 91.6263215.4 ± 116.5762256.7 *401203.5 ± 74.8
≥70162243.6 ± 102.1696289.1 *417230.5 ± 78.3123211.0 ± 91.0846244.1 *469194.1 ± 70.9
Protein, g
1–63741.8 ± 20.024348.8 *55256.6 ± 19.0 *3336.7 ± 15.924544.7 *53953.9 ± 18.9 *
7–146360.3 ± 26.439275.3 *62273.7 ± 26.6 *7551.9 ± 17.840367.7 *59466.3 ± 22.8 *
15–192369.0 ± 28.920187.5 *36096.2 ± 42.2 *2954.2 ± 20.519268.3 *31664.4 ± 25.3
20–296177.3 ± 27.830476.736399.4 ± 40.4 *8469.9 ± 38.336162.944668.7 ± 24.6 *
30–3914777.1 ± 32.654076.6394104.4 ± 39.1 *18563.2 ± 21.666162.544272.0 ± 25.2 *
40–4926776.7 ± 29.553775.8407102.1 ± 37.9 *29263.4 ± 23.357063.150869.0 ± 23.2
50–5925976.3 ± 28.758780.5 *40795.8 ± 39.0 *30166.1 ± 31.668168.138467.1 ± 24.0
60–6925573.0 ± 33.466480.9 *39984.6 ± 34.1 *26362.4 ± 32.576269.1 *40165.7 ± 24.9 *
≥7016269.0 ± 29.369674.8 *41774.4 ± 25.6 *12353.9 ± 23.484662.5 *46960.0 ± 23.0
Fat, g
1–63753.2 ± 28.224343.855254.0 ± 19.83347.1 ± 21.424542.253951.4 ± 19.2
7–146380.4 ± 45.439269.662273.2 ± 27.97566.9 ± 29.440363.259466.4 ± 25.6
15–192377.1 ± 36.720178.236091.6 ± 40.22971.7 ± 33.119265.431667.7 ± 30.5 *
20–2961102.0 ± 44.530466.3 *36389.0 ± 40.8 *8482.4 ± 41.536155.6 *44667.5 ± 29.7 *
30–3914795.1 ± 44.354065.1 *39496.1 ± 43.418579.3 ± 35.166154.4 *44268.1 ± 29.0 *
40–49267101.5 ± 51.353760.6 *40797.0 ± 45.829280.0 ± 41.257053.9 *50863.7 ± 27.6 *
50–5925994.8 ± 46.758761.1 *40790.2 ± 47.130174.3 ± 36.568152.7 *38463.1 ± 27.7
60–6925582.1 ± 37.066455.3 *39977.3 ± 35.326366.1 ± 33.776247.8 *40161.5 ± 29.4
≥7016273.3 ± 36.769647.8 *41771.3 ± 27.712360.1 ± 34.784640.7 *46955.6 ± 23.1 *
Fiber, g
1–6374.7 ± 3.32438.6 *55211.5 ± 5.3 *335.2 ± 3.22458.1 *53910.8 ± 4.9 *
7–14637.5 ± 5.539213.3 *62214.3 ± 6.0 *757.0 ± 4.940312.4 *59414.1 ± 6.1 *
15–19238.6 ± 5.520113.2 *36016.8 ± 8.1 *297.4 ± 4.019212.1 *31612.4 ± 5.8 *
20–29619.8 ± 7.730412.6 *36317.9 ± 9.6 *8410.0 ± 6.736112.1 *44613.9 ± 6.6 *
30–3914710.3 ± 6.754012.9 *39419.3 ± 9.9 *1859.9 ± 6.166112.5 *44216.2 ± 8.5 *
40–4926710.4 ± 6.353713.2 *40719.9 ± 11.4 *29210.2 ± 9.257012.5 *50815.0 ± 7.7 *
50–5925911.5 ± 8.658714.7 *40719.3 ± 9.5 *30111.9 ± 9.468115.2 *38415.9 ± 7.8 *
60–6925512.2 ± 8.566416.9 *39917.9 ± 9.1 *26310.5 ± 6.676216.6 *40115.6 ± 7.0 *
≥7016211.0 ± 7.969616.5 *41717.1 ± 8.7 *12310.0 ± 7.584615.3 *46915.0 ± 7.2 *
Cholesterol, mg
1–637262 ± 169243244552185.3 ± 118.1 *33297 ± 240245234539178.1 ± 103.1
7–1463308 ± 217392352622229.8 ± 128.0 *75236 ± 160403334 *594212.8 ± 130.2 *
15–1923321 ± 190201467 *360299.1 ± 181.429373 ± 282192382316217.2 ± 130.7 *
20–2961360 ± 212304369363330.8 ± 189.884362 ± 247361317446231.1 ± 142.2 *
30–39147353 ± 230540365394345.5 ± 197.0185309 ± 184661296442240.7 ± 141.3 *
40–49267329 ± 256537351407354.5 ± 206.2292295 ± 239570311508233.4 ± 136.0 *
50–59259344 ± 241587369407343.3 ± 234.1301297 ± 229681309384227.9 ± 136.7 *
60–69253315 ± 256664353 *399304.3 ± 180.5260285 ± 234762297401228.2 ± 143.1
≥70161271 ± 183696317 *417273.4 ± 163.6122206 ± 182846265 *469194.8 ± 111.6 *
% Total energy from
Carbohydrate, %
1–63748.7 ± 13.324358.2 *55254.4 ± 7.2 *3345.6 ± 10.924556.8 *53954.3 ± 7.7 *
7–146347.9 ± 13.139256.1 *62253.5 ± 7.3 *7547.8 ± 12.440355.2 *59454.3 ± 6.9 *
15–192352.0 ± 12.820157.136051.9 ± 8.52946.9 ± 11.919254.5 *31652.8 ± 8.1 *
20–296145.6 ± 11.430458.9 *36350.5 ± 8.9 *8446.7 ± 11.636155.9 *44652.5 ± 8.2 *
30–3914746.6 ± 12.054059.8 *39448.6 ± 10.218546.6 ± 12.366157.4 *44251.0 ± 9.3 *
40–4926747.0 ± 12.753760.6 *40748.8 ± 9.129249.6 ± 12.957057.3 *50851.5 ± 9.2
50–5925947.7 ± 11.958760.9 *40747.9 ± 9.930150.3 ± 11.368158.2 *38450.9 ± 9.9
60–6925549.3 ± 11.966462.5 *39948.5 ± 9.526350.3 ± 12.076260.1 *40150.3 ± 9.3
≥7016250.1 ± 12.869663.4 *41749.3 ± 8.912353.9 ± 14.284662.3 *46951.7 ± 8.5 *
Protein, %
1–63713.2 ± 3.22431455215.0 ± 3.0 *3314.3 ± 3.22451453915.1 ± 3.3
7–146313.7 ± 3.339214.462214.9 ± 3.2 *7513.8 ± 3.240314.659414.6 ± 3.1
15–192314.1 ± 3.220114.536015.6 ± 4.12914.1 ± 5.019214.731614.6 ± 3.7
20–296114.0 ± 2.930414.236315.8 ± 3.9 *8415.0 ± 4.63611544614.9 ± 3.5
30–3914713.9 ± 3.55401439416.1 ± 4.5 *18514.5 ± 3.866114.744215.9 ± 3.7 *
40–4926713.0 ± 3.553714.3 *40716.0 ± 3.7 *29213.7 ± 3.957014.8 *50816.1 ± 4.0 *
50–5925913.4 ± 3.458714.6 *40716.3 ± 3.9 *30114.3 ± 3.868115.4 *38416.0 ± 4.2 *
60–6925513.8 ± 3.566414.9 *39916.6 ± 4.1 *26314.8 ± 4.076215.8 *40116.5 ± 4.6 *
≥7016214.3 ± 3.969615.1 *41716.0 ± 3.8 *12313.7 ± 3.484615.4 *46916.2 ± 4.2 *
Fat, %
1–63738.2 ± 12.724327.8 *55231.8 ± 5.7 *3340.6 ± 9.324529.2 *53931.8 ± 5.8 *
7–146339.4 ± 12.139229.5 *62232.7 ± 5.8 *7539.4 ± 11.340330.2 *59432.2 ± 5.8 *
15–192335.0 ± 11.420128.4 *36032.6 ± 6.62940.3 ± 11.319230.8 *31633.3 ± 6.7 *
20–296141.0 ± 11.030426.9 *36330.9 ± 6.6 *8439.0 ± 10.636129.1 *44631.9 ± 6.7 *
30–3914738.2 ± 10.854026.2 *39432.1 ± 7.7 *18539.7 ± 11.066127.9 *44232.9 ± 7.3 *
40–4926737.2 ± 10.953725.1 *40732.9 ± 7.6 *29237.4 ± 11.757027.9 *50832.1 ± 7.0 *
50–5925936.3 ± 10.958724.5 *40733.1 ± 7.6 *30136.0 ± 10.968126.4 *38432.7 ± 7.8 *
60–6925534.9 ± 11.066422.6 *39933.1 ± 7.6 *26335.5 ± 10.976224.1 *40133.2 ± 7.9 *
≥7016233.2 ± 10.769621.5 *41733.7 ± 6.912333.5 ± 12.784622.3 *46932.8 ± 6.7
* p < 0.04 after FDR adjustment versus Chinese.
Table
Table 3. Comparison of daily intake of minerals by age and sex in the Chinese, Japanese and American groups.
Table 3. Comparison of daily intake of minerals by age and sex in the Chinese, Japanese and American groups.
Minerals and AgeMales (N = 1274)Females (N = 1385)
ChineseJapaneseAmericanChineseJapaneseAmerican
NMean ± SDNMeanNMean ± SDNMean ± SDNMeanNMean ± SD
Calcium, mg
1–637277 ± 148243456 *5521044 ± 425 *33263 ± 128245421 *539988 ± 444 *
7–1463354 ± 193392711 *6221134 ± 503 *75344 ± 164403623 *594980 ± 523 *
15–1923388 ± 212201578 *3601233 ± 572 *29344 ± 163192493 *316873 ± 507 *
20–2961416 ± 188304475 *3631189 ± 641 *84439 ± 285361445446902 ± 441 *
30–39147468 ± 2535404513941189 ± 640 *185406 ± 190661474 *442934 ± 421 *
40–49267453 ± 2265374724071107 ± 568 *292389 ± 213570466 *508865 ± 403 *
50–59259466 ± 248587517 *4071053 ± 565 *301433 ± 264681542 *384868 ± 431 *
60–69255458 ± 241664589 *399940 ± 558 *263430 ± 256762580 *401815 ± 433 *
≥70162473 ± 267696587 *417880 ± 429 *123388 ± 236846553 *469806 ± 412 *
Phosphorus, mg
1–637595 ± 282243744 *5521135 ± 370 *33511 ± 198245683 *5391071 ± 376 *
7–1463812 ± 3283921140 *6221364 ± 484 *75707 ± 2144031033 *5941208 ± 405 *
15–1923925 ± 3642011192 *3601613 ± 627 *29739 ± 269192955 *3161132 ± 475 *
20–29611025 ± 34730410303631640 ± 655 *84940 ± 5323618754461192 ± 436 *
30–391471054 ± 44054010423941740 ± 658 *185862 ± 2746618954421257 ± 441 *
40–492671040 ± 37353710464071683 ± 624 *292864 ± 3005708985081181 ± 403 *
50–592591045 ± 3795871115 *4071567 ± 618 *301915 ± 413681984 *3841157 ± 418 *
60–692551014 ± 4386641158 *3991396 ± 564 *263874 ± 4337621010 *4011128 ± 423 *
≥70162969 ± 4226961078 *4171261 ± 434 *123773 ± 329846925 *4691052 ± 398 *
Potassium, mg
1–637950 ± 4652431571 *5522108 ± 670 *33924 ± 4492451455 *5391995 ± 649 *
7–14631375 ± 7463922356 *6222272 ± 797 *751231 ± 4704032145 *5942134 ± 773 *
15–19231661 ± 8782012329 *3602761 ± 1177 *291389 ± 6391922052 *3161968 ± 782 *
20–29611704 ± 7633042181 *3632860 ± 1195 *841672 ± 9983611913 *4462195 ± 863 *
30–391471808 ± 7855402204 *3943132 ± 1216 *1851577 ± 6146612018 *4422431 ± 890 *
40–492671771 ± 7155372266 *4073180 ± 1343 *2921564 ± 7045702088 *5082392 ± 851 *
50–592591827 ± 8415872518 *4073082 ± 1164 *3011693 ± 8466812425 *3842450 ± 888 *
60–692551800 ± 8506642742 *3992906 ± 1133 *2631603 ± 8347622613 *4012390 ± 891 *
≥701621733 ± 9116962650 *4172731 ± 967 *1231463 ± 7898462401 *4692323 ± 857 *
Sodium, mg
1–6373719 ± 375724325595522242 ± 816 *332749 ± 181324523235392146 ± 788
7–14634374 ± 224239238586223247 ± 1212 *754371 ± 25014033543 *5942953 ± 1004 *
15–19234228 ± 180720146063604135 ± 1689293637 ± 201519237403162932 ± 1195
20–29614711 ± 212530444883634248 ± 1729845112 ± 33263613701 *4463116 ± 1107 *
30–391476081 ± 42515404449 *3944428 ± 1713 *1855112 ± 33936613776 *4423061 ± 1063 *
40–492676664 ± 68825374606 *4074346 ± 1768 *2926121 ± 108105703898 *5082905 ± 1032 *
50–592597344 ± 65075874961 *4073955 ± 1636 *3015703 ± 44136814252 *3842791 ± 1037 *
60–692556061 ± 57316644961 *3993575 ± 1404 *2635307 ± 50117624291 *4012775 ± 1071 *
≥701625540 ± 33856964685 *4173210 ± 1061 *1235148 ± 42288464094 *4692553 ± 968 *
Magnesium, mg
1–637148 ± 72243158552209 ± 69 *33141 ± 61245144539196 ± 65 *
7–1463212 ± 101392238622244 ± 89 *75198 ± 66403216 *594227 ± 81 *
15–1923241 ± 96201248360300 ± 122 *29202 ± 68192216316217 ± 84
20–2961276 ± 110304241 *363326 ± 137 *84261 ± 168361204 *446245 ± 95
30–39147295 ± 131540250 *394358 ± 139 *185248 ± 88661219 *442272 ± 106 *
40–49267299 ± 113537257 *407357 ± 149 *292254 ± 111570224 *508265 ± 100
50–59259299 ± 116587279 *407336 ± 127 *301270 ± 123681256384271 ± 102
60–69255300 ± 127664301399309 ± 125263262 ± 130762274401258 ± 95
≥70162284 ± 127696284417283 ± 125123231 ± 99846248469241 ± 94
Iron, mg
1–63711.3 ± 5.12434.9 *55211.7 ± 5.13311.3 ± 6.72454.5 *53911.1 ± 5.1
7–146317.3 ± 8.93927.3 *62215.5 ± 6.87514.6 ± 5.74036.6 *59414.2 ± 6.1
15–192318.0 ± 7.62018.4 *36018.5 ± 9.62915.0 ± 5.51927.2 *31612.6 ± 6.1
20–296121.5 ± 8.83047.8 *36318.0 ± 9.2 *8418.7 ± 11.13617.1 *44614.0 ± 7.2 *
30–3914722.5 ± 10.55408 *39418.8 ± 9.2 *18518.9 ± 7.06617.5 *44214.0 ± 6.1 *
40–4926723.1 ± 9.75378 *40718.5 ± 8.2 *29219.9 ± 18.85707.1 *50812.7 ± 5.3 *
50–5925923.7 ± 11.85878.7 *40717.0 ± 8.4 *30121.4 ± 17.36818.3 *38412.9 ± 6.1 *
60–6925522.9 ± 12.36649.4 *39915.8 ± 8.1 *26319.9 ± 12.07629 *40112.3 ± 5.8 *
≥7016220.4 ± 9.06969 *41716.0 ± 7.3 *12317.5 ± 12.18468.1 *46912.4 ± 6.0 *
Zinc, mg
1–6376.3 ± 3.02435.85528.7 ± 3.5 *335.5 ± 2.42455.45398.3 ± 3.5 *
7–14639.2 ± 3.63929.362211.5 ± 6.3 *757.8 ± 2.34038.25949.9 ± 4.2 *
15–192310.6 ± 3.92011136013.9 ± 12.5 *298.1 ± 2.71928.23168.9 ± 4.3
20–296111.5 ± 3.83049.4 *36313.7 ± 6.7 *8410.5 ± 7.23617.5 *4469.6 ± 4.6
30–3914712.0 ± 5.05409.4 *39414.6 ± 6.2 *1859.6 ± 3.06617.4 *44210.2 ± 6.4
40–4926712.4 ± 4.45379.1 *40714.3 ± 6.2 *29210.0 ± 3.55707.3 *5089.7 ± 5.0
50–5925912.1 ± 4.35879.2 *40713.6 ± 8.3 *30110.3 ± 4.76817.7 *3849.9 ± 7.2
60–6925511.6 ± 5.26649.3 *39911.9 ± 6.12639.7 ± 5.07627.8 *4019.2 ± 4.5
≥7016210.6 ± 4.06968.6 *41711.7 ± 6.1 *1238.4 ± 3.38467.2 *4699.2 ± 4.9
Selenium, ug
1–63726.9 ± 14.2243–––55274.5 ± 26.9 *3327.4 ± 17.7245–––53971.6 ± 26.3 *
7–146342.8 ± 31.4392–––622101.5 ± 39.2 *7531.8 ± 14.3403–––59492.1 ± 34.8 *
15–192341.8 ± 22.0201–––360130.1 ± 59.6 *2936.4 ± 21.7192–––31687.6 ± 35.2 *
20–296150.8 ± 24.9304–––363138.5 ± 62.1 *8448.7 ± 37.7361–––44695.8 ± 35.8 *
30–3914751.4 ± 28.7540–––394142.7 ± 58.2 *18544.8 ± 23.9661–––44299.6 ± 37.6 *
40–4926750.7 ± 33.3537–––407140.4 ± 54.1 *29239.4 ± 21.8570–––50894.6 ± 36.3 *
50–5925952.1 ± 29.7587–––407129.0 ± 56.4 *30145.8 ± 37.0681–––38491.0 ± 35.3 *
60–6925548.6 ± 32.6664–––399117.2 ± 47.7 *26346.3 ± 34.9762–––40191.1 ± 38.0 *
≥7016246.0 ± 26.7696–––417103.0 ± 37.1 *12335.9 ± 23.9846–––46981.3 ± 34.5 *
Copper, mg
1–6371.2 ± 0.92430.75 *5520.8 ± 0.3 *331.0 ± 0.62450.67 *5390.8 ± 0.4
7–14632.0 ± 1.43921.13 *6221.0 ± 0.5 *751.4 ± 0.54031.03 *5941.0 ± 0.4 *
15–19231.9 ± 1.12011.32 *3601.3 ± 0.9 *291.6 ± 1.01921.03 *3160.9 ± 0.4 *
20–29612.2 ± 1.43041.23 *3631.4 ± 0.7 *842.0 ± 1.53611.00 *4461.1 ± 0.6 *
30–391472.1 ± 1.25401.24 *3941.5 ± 0.7 *1851.8 ± 0.86611.02 *4421.2 ± 0.7 *
40–492672.2 ± 1.05371.25 *4071.5 ± 0.7 *2921.9 ± 1.05701.02 *5081.2 ± 0.9 *
50–592592.2 ± 1.25871.32 *4071.4 ± 0.7 *3012.1 ± 1.66811.16 *3841.2 ± 0.8 *
60–692552.2 ± 1.26641.4 *3991.3 ± 0.6 *2631.8 ± 1.27621.23 *4011.2 ± 1.1 *
≥701622.0 ± 1.26961.33 *4171.3 ± 1.5 *1231.8 ± 1.18461.15 *4691.1 ± 0.7 *
* p < 0.04 after FDR adjustment, versus Chinese.
Table
Table 4. Comparison of daily intake of vitamins by age and sex in the Chinese, Japanese and American groups.
Table 4. Comparison of daily intake of vitamins by age and sex in the Chinese, Japanese and American groups.
Vitamins and AgeMales (N = 1274)Females (N = 1385)
ChineseJapaneseAmericanChineseJapaneseAmerican
NMean ± SDNMeanNMean ± SDNMean ± SDNMeanNMean ± SD
Vitamin A, μg REs &
1–637277 ± 397243419 *552589 ± 263 *33282 ± 236245407 *539570 ± 288 *
7–1463377 ± 395392618 *622641 ± 369 *75270 ± 184403606 *594569 ± 307 *
15–1923364 ± 237201805 *360640 ± 390 *29398 ± 264192561 *316469 ± 338
20–2961482 ± 630304603363617 ± 46984400 ± 335361627 *446550 ± 463 *
30–39147577 ± 1020540592394669 ± 522185415 ± 345661529 *442584 ± 398 *
40–49267444 ± 498537630 *407650 ± 461 *292422 ± 434570519 *508569 ± 569 *
50–59259554 ± 969587601407650 ± 451301467 ± 559681612 *384635 ± 527 *
60–69255453 ± 466664674 *399628 ± 463 *263466 ± 549762695 *401620 ± 634 *
≥70162445 ± 444696750 *417772 ± 949 *123361 ± 332846617 *469651 ± 468 *
Vitamin B1, mg
1–6370.51 ± 0.282430.61 *5521.30 ± 0.52 *330.44 ± 0.172450.58 *5391.22 ± 0.46 *
7–14630.72 ± 0.383921.28 *6221.72 ± 0.68 *750.62 ± 0.244031.19 *5941.54 ± 0.60 *
15–19230.80 ± 0.312011.42 *3601.97 ± 0.90 *290.64 ± 0.261920.95 *3161.33 ± 0.58 *
20–29610.98 ± 0.473041.39 *3631.97 ± 0.97 *840.82 ± 0.493611.05 *4461.48 ± 0.67 *
30–391471.03 ± 0.525401.23 *3942.05 ± 1.06 *1850.74 ± 0.296611.19 *4421.48 ± 0.61 *
40–492671.14 ± 0.645371.25 *4072.01 ± 0.90 *2920.80 ± 0.355701.27 *5081.35 ± 0.54 *
50–592591.08 ± 0.615871.42 *4071.84 ± 0.83 *3010.82 ± 0.426811.48 *3841.36 ± 0.58 *
60–692550.91 ± 0.466641.44 *3991.70 ± 0.81 *2630.74 ± 0.417621.88 *4011.31 ± 0.57 *
≥701620.87 ± 0.486961.71 *4171.65 ± 0.68 *1230.65 ± 0.318462.3 *4691.31 ± 0.57 *
Vitamin B2, mg
1–6370.55 ± 0.292430.91 *5521.91 ± 0.68 *330.48 ± 0.242450.82 *5391.81 ± 0.69 *
7–14630.71 ± 0.333921.38 *6222.14 ± 0.84 *750.59 ± 0.214031.33 *5941.85 ± 0.71 *
15–19230.81 ± 0.392011.75 *3602.32 ± 1.17 *290.66 ± 0.251921.27 *3161.59 ± 0.84 *
20–29610.85 ± 0.363041.43 *3632.33 ± 1.42 *840.81 ± 0.443611.39 *4461.77 ± 1.01 *
30–391470.91 ± 0.505401.34 *3942.54 ± 1.37 *1850.73 ± 0.296611.41 *4421.87 ± 0.80 *
40–492670.90 ± 0.465371.39 *4072.44 ± 1.13 *2920.73 ± 0.355701.28 *5081.79 ± 0.80 *
50–592590.89 ± 0.405871.62 *4072.37 ± 1.23 *3010.78 ± 0.446811.56 *3841.83 ± 0.83 *
60–692550.85 ± 0.466641.57 *3992.16 ± 1.11 *2630.75 ± 0.487621.57 *4011.75 ± 0.84 *
≥701620.78 ± 0.376961.5 *4172.17 ± 0.91 *1230.61 ± 0.318461.76 *4691.74 ± 0.77 *
Niacin, mg
1–6378.2 ± 4.02438.355216.2 ± 6.5 *337.3 ± 3.62457.653915.2 ± 6.2 *
7–146312.9 ± 5.839212.962223.1 ± 8.9 *7510.4 ± 3.640311.5 *59420.7 ± 7.8 *
15–192315.8 ± 7.620116.536030.2 ± 14.7 *2911.6 ± 5.219213.331619.7 ± 8.3 *
20–296117.1 ± 6.030416.936331.9 ± 15.5 *8414.7 ± 9.136113.244622.2 ± 9.5 *
30–3914717.5 ± 8.354017.639433.4 ± 14.0 *18513.5 ± 4.766113.344222.0 ± 8.2 *
40–4926718.3 ± 8.053717.540731.8 ± 13.3 *29213.9 ± 5.657014.150820.8 ± 8.1 *
50–5925918.1 ± 8.058718.940729.0 ± 13.1 *30114.6 ± 7.668115.238420.5 ± 8.3 *
60–6925516.6 ± 7.666418.7 *39925.7 ± 11.1 *26313.9 ± 7.576215.4 *40119.6 ± 8.1 *
≥7016215.0 ± 7.269616.2 *41724.4 ± 10.5 *12311.0 ± 4.584613.5 *46918.5 ± 8.1 *
Vitamin C, mg
1–63724.8 ± 20.524355 *55283 ± 55 *3332.8 ± 22.624555 *53983 ± 56 *
7–146344.7 ± 45.639283 *62277 ± 58 *7543.0 ± 37.140379 *59482 ± 80 *
15–1923109.9 ± 156.0201108360101 ± 922957.2 ± 44.319291 *31679 ± 69 *
20–296162.4 ± 143.23049236392 ± 968458.9 ± 40.3361105 *44684 ± 86 *
30–3914766.7 ± 45.254085 *39491 ± 79 *18562.3 ± 40.966195 *44278 ± 67 *
40–4926662.1 ± 43.253787 *40794 ± 92 *29260.5 ± 40.5570112 *50881 ± 71 *
50–5925961.5 ± 44.0587115 *40793 ± 86 *30167.9 ± 50.7681144 *38485 ± 64 *
60–6925568.5 ± 49.3664135 *39990 ± 88 *26372.9 ± 60.5762159 *40177 ± 60
≥7016271.6 ± 52.1696131 *41789 ± 74 *12359.8 ± 40.7846142 *46982 ± 56 *
Vitamin E, mg
1–63717 ± 112434.9 *5524.8 ± 2.6 *3317 ± 92454.5 *5394.3 ± 2.1 *
7–146323 ± 173926.7 *6226.1 ± 3.1 *7524 ± 154036.3 *5946.2 ± 3.9 *
15–192322 ± 112019.3 *3607.7 ± 4.5 *2926 ± 151926.9 *3165.8 ± 3.0 *
20–296135 ± 203047.9 *3638.1 ± 5.6 *8430 ± 193616.5 *4466.3 ± 3.5 *
30–3914732 ± 185407.4 *3948.7 ± 4.9 *18529 ± 176618.3 *4426.9 ± 5.3 *
40–4926735 ± 245378.1 *4078.7 ± 5.5 *29229 ± 175708.9 *5086.6 ± 4.3 *
50–5925933 ± 225879.5 *4078.1 ± 5.1 *30127 ± 156818.9 *3846.9 ± 4.4 *
60–6925530 ± 176649.1 *3997.4 ± 4.3 *26325 ± 137629.8 *4016.7 ± 4.4 *
≥7016227 ± 166969.9 *4177.7 ± 4.9 *12324 ± 1484611.8 *4696.2 ± 3.7 *
& REs: Retinol equivalents; * p < 0.04 after FDR adjustment, versus Chinese.
Table
Table 5. Comparison of daily intake of energy and nutrients # by age in children ^ and males in the Chinese and Italian groups.
Table 5. Comparison of daily intake of energy and nutrients # by age in children ^ and males in the Chinese and Italian groups.
Energy and NutrientsChildren (3–9 Years)Males (10–17 Years)Males (18–64 Years)Males (65 Years and Above)
Chinese (N = 112)Italian (N = 193)Chinese (N = 53)Italian (N = 108)Chinese (N = 896)Italian (N = 1068)Chinese (N = 263)Italian (N = 202)
Total energy, kcal1322.2 ± 560.91914 ± 488 *1889 ± 6842576 ± 744 *2330 ± 8652390 ± 650 *1981 ± 7402296 ± 556 *
Carbohydrate, g157.4 ± 81.0239.8 ± 69.8 *231.5 ± 92.8326.7 ± 110.2 *274.9 ± 123.8283.1 ± 88.7243.6 ± 101.4274.9 ± 81.4 *
Protein, g44.9 ± 20.274.1 ± 18.5 *63.3 ± 26.199.3 ± 26.2 *76.9 ± 31.092.6 ± 25.3 *67.9 ± 28.188.2 ± 21.4 *
Fat, g57.9 ± 30.379.5 ± 22.8 *81.5 ± 45.5105.4 ± 32.3 *95.9 ± 46.495.4 ± 29.573.9 ± 35.387.0 ± 23.4 *
Fiber, g5.5 ± 3.714.4 ± 5.2 *8.6 ± 5.818.1 ± 5.9 *11.0 ± 7.619.6 ± 7.3 *11.3 ± 8.121.6 ± 8.2 *
Cholesterol, mg275.1 ± 198.4286 ± 118301 ± 217355 ± 153339 ± 247331 ± 157281 ± 202302 ± 137
% Total energy from
Carbohydrate, %47.5 ± 12.346.8 ± 5.850.3 ± 13.647.2 ± 5.647.4 ± 12.044.3 ± 6.2 *49.8 ± 12.844.8 ± 6.3 *
Protein, %13.8 ± 3.315.7 ± 2.3 *13.5 ± 3.015.6 ± 1.9 *13.5 ± 3.415.7 ± 2.2 *14.1 ± 3.815.5 ± 2 *
Fat, %39.2 ± 11.137.4 ± 4.937.6 ± 12.736.9 ± 4.937.0 ± 10.936.0 ± 5.3 *33.8 ± 11.134.3 ± 5.7
Minerals
Calcium, mg292.1 ± 140.0749 ± 252 *381 ± 216892 ± 344 *460 ± 241799 ± 337 *458 ± 246825 ± 331 *
Phosphorus, mg619.1 ± 254.61180 ± 299 *875 ± 3391479 ± 396 *1049 ± 4061386 ± 389 *951 ± 3871331 ± 332 *
Potassium, mg1050.5 ± 473.02441 ± 633 *1552 ± 8833123 ± 879 *1811 ± 8083218 ± 921 *1702 ± 8243300 ± 859 *
Magnesium, mg162.7 ± 70.4230 ± 69 *229 ± 99286 ± 75 *300 ± 122305 ± 93282 ± 119295 ± 81
Zinc, mg6.7 ± 2.79.9 ± 2.9 *9.9 ± 3.813.3 ± 3.9 *12.2 ± 4.712.6 ± 3.9 *10.5 ± 3.812.2 ± 3.2 *
Vitamins
Vitamin A, ug REs &299.7 ± 346.8740 ± 941 *352 ± 316802 ± 767 *507 ± 770890 ± 1004 *429 ± 407888 ± 851 *
Vitamin B1, mg0.5 ± 0.20.92 ± 0.3 *0.78 ± 0.401.23 ± 0.46 *1.06 ± 0.581.11 ± 0.38 *0.85 ± 0.451.01 ± 0.3 *
Vitamin B2, mg0.6 ± 0.31.43 ± 0.41 *0.76 ± 0.381.69 ± 0.53 *0.89 ± 0.451.53 ± 0.5 *0.78 ± 0.351.48 ± 0.41 *
Vitamin C, mg31.5 ± 27.4107 ± 64 *77 ± 114136 ± 93 *64 ± 57126 ± 79 *71 ± 50127 ± 74 *
Vitamin E, mg18.6 ± 10.710.4 ± 3.5 *24.2 ± 17.713.9 ± 5 *33.3 ± 21.113.5 ± 4.6 *26.9 ± 15.613.3 ± 4.5 *
# Mean ± SD; & REs: Retinol equivalents; ^ Two infants (< 3 years) were not included, with males and females grouped in the case of children; * p < 0.04 after FDR adjustment, versus Chinese.
Table
Table 6. Comparison of intake of energy and nutrients # by age in females in the Chinese and Italian groups.
Table 6. Comparison of intake of energy and nutrients # by age in females in the Chinese and Italian groups.
Energy and NutrientsFemales (10–17 Years)Females (18–64 Years)Females (65 Years and above)
Chinese (N = 75)Italian (N = 139)Chinese (N = 1027)Italian (N = 1245)Chinese (N = 231)Italian (N = 316)
Total energy, kcal1549 ± 5162091 ± 532 *1845 ± 7501939 ± 526 *1613 ± 5581834 ± 486 *
Carbohydrate, g181.8 ± 82.5263.1 ± 80.1 *227.8 ± 118.8236.5 ± 75.3 *210.2 ± 89.3233.7 ± 71.7 *
Protein, g53.1 ± 17.981.8 ± 20.1 *64.5 ± 29.676 ± 19.5 *57.8 ± 23.571.4 ± 18.8 *
Fat, g69.2 ± 30.286 ± 23.1 *76.5 ± 38.579.1 ± 23.4 *61.7 ± 31.269.6 ± 22.2 *
Fiber, g6.8 ± 4.616.4 ± 5.8 *10.7 ± 8.317.7 ± 6.3 *10.0 ± 6.718.7 ± 6.7 *
Cholesterol, mg283 ± 205311 ± 144304 ± 230265 ± 125 *239 ± 198243 ± 106
% Total energy from
Carbohydrate, %46.6 ± 12.346.8 ± 5.849.1 ± 12.345.5 ± 6.3 *52.2 ± 13.047.8 ± 7.3
Protein, %14.1 ± 4.015.8 ± 2.2 *14.2 ± 3.915.9 ± 2.3 *14.5 ± 3.915.7 ± 2.4 *
Fat, %40.2 ± 11.537.2 ± 5 *37.3 ± 11.336.8 ± 5.334.2 ± 11.734.1 ± 6.1
Minerals
Calcium, mg339 ± 166770 ± 280 *415 ± 241730 ± 277 *409 ± 236754 ± 290 *
Phosphorus, mg712 ± 2141252 ± 333 *886 ± 3911168 ± 312 *818 ± 3171117 ± 305 *
Potassium, mg1241 ± 4942737 ± 796 *1621 ± 8002861 ± 797 *1515 ± 7332822 ± 794 *
Magnesium, mg199 ± 67251 ± 91259 ± 122257 ± 74245 ± 101243 ± 66
Zinc, mg7.9 ± 2.310.9 ± 3 *10.0 ± 4.610.6 ± 3 *8.9 ± 3.29.9 ± 2.9 *
Vitamins
Vitamin A, ug REs &318 ± 221751 ± 855 *437 ± 471818 ± 885 *418 ± 450773 ± 466 *
Vitamin B1, mg0.64 ± 0.241 ± 0.32 *0.79 ± 0.390.95 ± 0.32 *0.68 ± 0.320.86 ± 0.26 *
Vitamin B2, mg0.61 ± 0.221.42 ± 0.4 *0.76 ± 0.421.38 ± 0.43 *0.66 ± 0.331.31 ± 0.39 *
Vitamin C, mg48 ± 40128 ± 92 *64 ± 47123 ± 74 *67 ± 52127 ± 84 *
Vitamin E, mg25.4 ± 16.211.8 ± 3.5 *27.8 ± 16.311.9 ± 3.8 *23.6 ± 12.710.9 ± 3.7 *
# Mean ± SD; & REs: Retinol equivalents; * p < 0.04 after FDR adjustment, versus Chinese.

3.2. Comparison of Age- and Sex-Specific Intake of Energy and Macronutrients between Chinese and Italian, Japanese and American Subjects

Table 2, Table 5 and Table 6 show the comparison of intake of energy and macronutrients by age and sex. Compared with the subjects of other three countries, Chinese subjects consumed much less fiber in all age groups of both sexes (all p < 0.04). In general, compared with the Japanese subjects, young Chinese subjects consumed lower total energy, while adult Chinese subjects consumed higher total energy; compared with the American subjects, Chinese males and young Chinese females consumed lower total energy, while adult Chinese females consumed higher total energy. Carbohydrate and protein intakes in Chinese subjects were lower than those in Japanese and American subjects. Fat intake in Chinese subjects was higher than that in Japanese adults of both sexes and American females, while similar to that in American males (except 20–29 age group). In addition, Chinese, Japanese, American and Italian subjects consumed similar cholesterol, except American females. Furthermore, total energy and macronutrients in Chinese subjects were lower than those in Italian subjects in both sexes except for a similar intake of cholesterol.
The percent energy from carbohydrate in Chinese subjects ranged from 45.6% to 53.9%. It was lower than that in Japanese and American subjects, while higher than that in adult Italian subjects. However, the energy contribution from fat in Chinese subjects ranged between 33.2% and 41.0%. It was higher than that in Japanese and American subjects in both sexes (except ≥70 age group), while similar to that in Italian subjects. The contribution of protein to energy in Chinese subjects (13.0%–15.0%) was lower than that in Japanese, American and Italian subjects; nevertheless, there were no significant differences for Japanese subjects aged <40 years and American females aged <30 years.

3.3. Comparison of Age- and Sex-Specific Intake of Minerals between Chinese and Italian, Japanese and American Subjects

For macro-minerals, daily intakes of calcium, phosphorus and potassium in Chinese subjects were generally lower than those in Japanese, American and Italian subjects (Table 3, Table 5 and Table 6). Nevertheless, Chinese subjects consumed a higher intake of sodium than Japanese and American subjects (Table 3). In addition, magnesium intake in Chinese subjects was higher than that in younger adult Japanese subjects, but lower than that in American males aged <60 years and females aged 1–14 and 30–39 years, and Italian children and males aged below 18 years.
For micro-minerals, intakes of iron and copper in both male and female age groups in Chinese subjects were higher than those in Japanese and American subjects, but selenium intake was lower than that in American subjects (Table 3). Zinc intake in Chinese subjects was higher than that in adult Japanese subjects, but lower than that in American males and Italian subjects (Table 3, Table 5 and Table 6).

3.4. Comparison of Age- and Sex-Specific Intake of Vitamins between Chinese and Italian, Japanese and American Subjects

For vitamins, intakes of vitamin B1 and vitamin B2 were lower among Chinese subjects in all age groups of both sexes, compared with those in the people of the other three countries; but vitamin E intake was higher (all p < 0.04, Table 4, Table 5 and Table 6). Compared with the people of other three countries, Chinese subjects consumed a lower level of vitamin A and vitamin C in both sexes (Table 4, Table 5 and Table 6), with no significant differences across several age groups in Japanese and American subjects (Table 4). Although niacin intake by age and sex in Chinese subjects was lower than that in American subjects (all p < 0.04), these significant differences were only found in Japanese older adults and females aged 7–14 years (Table 4).

3.5. Comparison of Age- and Sex-Specific Intake of Nutrients Adjusted for Energy between Chinese and Italian Subjects

As presented in Supplementary Tables S2 and S3, intakes of fiber, calcium, phosphorus, potassium, zinc, vitamin A, vitamin B1, vitamin B2 and vitamin C after energy adjusted in Chinese subjects were lower than those in Italian subjects, while intakes of cholesterol, iron, magnesium and vitamin E were higher among Chinese subjects relative to Italian subjects (p < 0.04). These results were quite similar before and after energy adjustment.

4. Discussion

The present study described intakes of energy and nutrients in south-east Chinese people and presented the comparison of those between Chinese and Italian, Japanese and American diets in males and females for different age groups. There were marked differences in nutrients consumption between Chinese subjects and those from the other three countries. Firstly, the contribution of carbohydrate to energy in Chinese subjects was lower than that in Japanese and American subjects, but higher than that in Italian subjects; however, the energy contribution from fat in Chinese subjects was higher than that in Japanese and American subjects, and similar to that in Italian subjects. Secondly, the Chinese diet had lower daily intakes of fiber, calcium, phosphorus, potassium, selenium, vitamin A, vitamin B1, vitamin B2 and vitamin C, compared with the Japanese, American and Italian diets; nevertheless, intakes of sodium, iron, copper and vitamin E were higher among Chinese subjects relative to the people of other three countries.

4.1. Nutrients Intakes in Chinese People Changing Even Worse than Those in American People

Across countries, the predominant diets are clearly different and highly related with human health. Both the Italian and Japanese diets are known to be healthy, while the American diet is generally qualified as unhealthy [11]. The traditional Chinese diet includes rice, wheat and wheat products and vegetables with low animal-source foods [23]. It has been considered as extremely healthy diet, like the Italian and Japanese diets [14]. However, China seems to be rapidly relinquishing its traditional diet with its rapid economic development. China has experienced remarkable shifts in its disease patterns from the decreasing prevalence of malnutrition and nutrition deficiencies to a high prevalence of diet-related non-communicable diseases, such as obesity, diabetes, cardiovascular disease, and cancer [14]. In addition, China is also undergoing a remarkably fast, but undesirable shift towards a stage of nutrition transition dominated by a high intake of edible oils, processed foods and animal foods and a low intake of coarse grains, legumes and other healthy foods [2]. These shifts have been the basis for the change in nutrient intakes. The shifts of nutrient intakes accompanied by major cooking and eating behavior changes are leading to what might be characterized as an unhealthy Western diet. Therefore, we evaluated the dietary nutrients in south-east Chinese subjects and compared those to the healthy Italian, Japanese diets and unhealthy American diet. In the present study, 2659 participants aged 2.0–89.2 years were enrolled to evaluate the dietary nutrients in south-east Chinese subjects. We found that compared with the American subjects, Chinese subjects consumed lower intakes of fiber, carbohydrate and protein. Nevertheless, fat and cholesterol intakes in Chinese subjects were higher than those in American females, and similar to those in American males. Lower contribution of carbohydrate and protein and higher contribution of fat to energy in Chinese subjects than those in American subjects were also found. Therefore, macronutrients intakes of Chinese subjects had been close to those of American subjects, and many macronutrients were even worse than those of American subjects. Furthermore, the Chinese diet had lower daily intakes of calcium, phosphorus, potassium, selenium, vitamin A, vitamin B1, vitamin B2, vitamin C and niacin, and higher intakes of sodium, iron, copper and vitamin E, compared with the American diet. Therefore, these results demonstrated that nutrients intakes in Chinese people have been changing even worse than those in American people. The relative low prices of animal-source foods and oils partially explain these shifts and income increases are a second important cause [24,25]. In addition, another reason is that cooking and eating behaviors are changing rapidly, including the decrease in the percentage of food cooked in healthy ways (steamed, boiled, baked) and the increase in snacking, fried foods and away from-home food consumption [26].

4.2. Nutritional Transition of the Chinese Diet from Traditional to Non-Traditional Diet

Compared with the 2002 China National Nutrition and Health Survey data [27], intakes of total energy, carbohydrate, fiber, phosphorus, potassium, sodium, iron, copper, vitamin A, vitamin B1, vitamin B2, vitamin C and vitamin E decreased, while intakes of fat, calcium and selenium increased, with stable intake of protein. In addition, in the nine provinces in the China Health and Nutrition Survey, there were rapid changes in the percent energy intake from carbohydrate and fat between 1991 and 2011 [2]. The energy contributions from carbohydrate were 66.0%, 59.8% and 54.3% in 1991, 2000 and 2011, respectively; while the proportions of energy derived from fat were 21.8%, 27.8% and 32.0% in 1991, 2000 and 2011, respectively. Moreover, our study found that the percent energy from carbohydrate and fat in Chinese subjects ranged from 45.6% to 53.9% and from 33.2% to 41.0% in different age groups, respectively. Furthermore, Zhou et al. [28] once compared nutrient intakes of middle-aged men and women, aged 40–59 years, in Chinese, Japanese and American subjects in the late 1990s (1997–1999). This study showed higher fiber intake and percent energy from carbohydrate and lower cholesterol intake and percentage of energy from fat in Chinese subjects than those in Japanese and American subjects; these findings were consistent with another study carried out in women aged 40–70 years in Shanghai (China), Japan and America, from 1997 to 2000 [26]. Nevertheless, in our study we found lower fiber intake and percent energy from carbohydrate and higher percentage of energy from fat in Chinese subjects than those in Japanese and American subjects, which were opposite to the results in the late 1990s. In summary, these results demonstrated that fat intake has increased but the intake of complex carbohydrates and fiber has decreased in Chinese people in the past two decades. Therefore, the structure of the Chinese diet has been shifting away from the traditional diet toward high-fat, low-carbohydrate and low-fiber diets. However, it is noted that the older adults tended to retain the traditional diet (Supplementary Table S4).

4.3. Trends of Minerals and Vitamins

The truly healthy trends for Chinese diet were the reduction in intakes of sodium and increases in intakes of calcium. High sodium and low potassium intakes are the key risk factors for hypertension [29,30,31,32]. Although sodium intake decreased, it remained double those recommended by the Institute of Medicine and the WHO; and potassium intake was below the recommended amount [33]. Our findings were consistent with other studies [28,33]. However, it should be noted that dietary method is an inadequate assessment of sodium, and 24-h urine sodium is the only way to estimate sodium intake [34]. Nowadays, the major source of dietary sodium remains added salt, followed by soy sauce, processed foods, and monosodium glutamate [33]. Therefore, replacing sodium with potassium in salt is an option with the potential to control and prevent hypertension and improve the health of the Chinese population [33]. In addition, calcium intake increased in the past decade. Nevertheless, it remained far below the recommended amount [35]. Deficient intake of calcium from cereals, vegetables, legumes and dairy mainly accounted for the low intake of calcium [36]. Iron intake in males was higher than that recommended by the Chinese Nutrition Society [35], while it was comparable for females. However, the main source of iron intake was from plant-based foods among this study population, which has low bioavailability [37]. So iron intake might not meet the needs of the body, especially in females. Besides, vitamin B2 intake was inadequate. Its deficiency has been shown to negatively affect iron absorption and utilization, which is associated with increased risk of anemia [38]. Consequently, a higher intake of fruit, vegetables, cereals, legumes, dairy and certain animal-source foods should be recommended.
Zhou et al. [28] also compared intakes of minerals and vitamins in Chinese, Japanese and American people in the late 1990s. The compared results of calcium, sodium, phosphorus, potassium, selenium, magnesium, vitamin A and vitamin C intakes in this study were consistent with our results. However, this study showed similar intake of iron (between Chinese and American people) and vitamin E (between Chinese and Japanese, American people), while we found higher intakes of iron and vitamin E in Chinese people than those in Japanese and American people. Nevertheless, Chen et al. [26] reported higher intakes of iron and vitamin E in Chinese people than those in Japanese and American people in the late 1990s, which were consistent with our study. Together, these findings demonstrated that excessive, especially inadequate intakes of a range of minerals and vitamins have been persistent in the past decade.

4.4. Strengths and Limitations

To the best of our knowledge, this was the first study to compare of nutrient intakes between Chinese and Italian, Japanese and American diets in males and females for different age groups. However, our research has several limitations. First, as expected, in some age and sex groups, and in particular in children and teenagers, the sample size might be not sufficient. Second, energy and nutrient intakes in present study were estimated by three consecutive 24-h dietary recalls, which is frequently used in dietary assessment. We could not avoid the possibility of recall bias and other unknown confounding factors, which might influence the precise assessment of nutrient intakes. However, the average intake over three days can offer a relatively valid estimate of usual nutrient intakes [39,40]. In addition, the diet data collected between August and October of each year may not reflect seasonal differences in nutrients consumption. Third, it is noted that our present results were without adjustment for sampling weight, which might limit the ability to generalize our findings to the general population. Finally, because of possible differences in sampling frame, dietary assessment methods (24-h dietary recall or dietary record) and data-processing methods, a detailed cross-country comparison of nutritional data would introduce bias. However, Kroes et al. [41] found a similar effect on estimating dietary intake between 24-h dietary recall and dietary record. Moreover, it was clear that the nutrient intakes of the Chinese people in this study were quite different from those found in the people of other three countries, regardless of nutrients adjusted for energy.

5. Conclusions

The present study demonstrated that the structure of the Chinese diet has been shifting away from the traditional diet toward high-fat, low-carbohydrate and low-fiber diets, and nutrients intakes in Chinese people have been changing even worse than those in American people. From a public health perspective, the present findings imply that a healthy diet should be advocated in the Chinese people.

Authors Contributions

Yunxian Yu developed the initial idea and designed the study. Zhaopin Wang, Biao Zhou, Lijuan Wang, Lichun Huang, Shuying Jiang, Zeyu Liu and Jingxin Jiang were responsible for the data and sample collection. Ronghua Zhang and Biao Zhou was responsible for the quality control. Ying Fei and Shuangshuang Zheng conducted the statistical analysis. Ronghua Zhang and Zhaopin Wang wrote the manuscript. All authors contributed to the interpretation of the results and were involved in preparing the final manuscript.

Supplementary Files

Supplementary File 1

Acknowledgments

We are particularly grateful for the supports and contributions of all participants and their families. This study was supported by the National Basic Research Program of China (973 Program) (Grant No.: 2011CB503706, funding open access publication charges), Natural Science Foundation of Zhejiang Province in China (Grant No.: LY14H260003) and Institute of Sports Science of Zhejiang Province in China (Grant No.: J20131484).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Popkin, B.M.; Adair, L.S.; Ng, S.W. Global nutrition transition and the pandemic of obesity in developing countries. Nutr. Rev. 2012, 70, 3–21. [Google Scholar] [CrossRef] [PubMed]
  2. Zhai, F.; Du, S.; Wang, Z.; Zhang, J.; Du, W.; Popkin, B. Dynamics of the chinese diet and the role of urbanicity, 1991–2011. Obes. Rev. 2014, 15, 16–26. [Google Scholar] [CrossRef] [PubMed]
  3. Hu, S.; Kong, L.; Gao, R.; Zhu, M.; Wang, W.; Wang, Y.; Wu, Z.; Chen, W.; Liu, M. Outline of the report on cardiovascular disease in china, 2010. Biomed. Environ. Sci. 2012, 25, 251–256. [Google Scholar] [PubMed]
  4. Branca, F.; Nikogosian, H.; Lobstein, T. The Challenge of Obesity in the Who European Region and the Strategies for Response: Summary; World Health Organization: Gevena, Switzerland, 2007. [Google Scholar]
  5. Popkin, B.M.; Horton, S.; Kim, S. The Nutritional Transition and Diet-related Chronic Diseases in Asia: Implications for Prevention; International Food Policy Research Institute: Washington, DC, USA, 2001; Volume 105. [Google Scholar]
  6. Gibney, M.; Sandström, B. A framework for food-based dietary guidelines in the european union. Public Health Nutr. 2001, 4, 293–305. [Google Scholar] [CrossRef]
  7. Sette, S.; Le Donne, C.; Piccinelli, R.; Arcella, D.; Turrini, A.; Leclercq, C. The third Italian national food consumption survey, Inran-Scai 2005–06-part 1: Nutrient intakes in Italy. Nutr. Metab. Cardiovasc. Dis. 2011, 21, 922–932. [Google Scholar] [CrossRef] [PubMed]
  8. Tokudome, S.; Ichikawa, Y.; Okuyama, H.; Tokudome, Y.; Goto, C.; Imaeda, N.; Kuriki, K.; Suzuki, S.; Shibata, K.; Jiang, J. The Mediterranean vs the Japanese diet. Eur. J.Cin. Nutr. 2004, 58, 1323. [Google Scholar] [CrossRef] [PubMed]
  9. Sofi, F.; Abbate, R.; Gensini, G.F.; Casini, A. Accruing evidence on benefits of adherence to the mediterranean diet on health: An updated systematic review and meta-analysis. Am. J. Clin. Nutr. 2010, 92, 1189–1196. [Google Scholar] [CrossRef] [PubMed]
  10. Estruch, R.; Ros, E.; Salas-Salvadó, J.; Covas, M.I.; Corella, D.; Arós, F.; Gómez-Gracia, E.; Ruiz-Gutiérrez, V.; Fiol, M.; Lapetra, J. Primary prevention of cardiovascular disease with a mediterranean diet. N. Engl. J. Med. 2013, 368, 1279–1290. [Google Scholar] [CrossRef] [PubMed]
  11. Ogce, F.; Ceber, E.; Ekti, R.; Oran, N.T. Comparison of Mediterranean, Western and Japanese diets and some recommendations. Asian Pac. J. Cancer Prev. 2008, 9, 351–356. [Google Scholar] [PubMed]
  12. Barbaresko, J.; Koch, M.; Schulze, M.B.; Nöthlings, U. Dietary pattern analysis and biomarkers of low-grade inflammation: A systematic literature review. Nutr. Rev. 2013, 71, 511–527. [Google Scholar] [CrossRef] [PubMed]
  13. Bentov, Y. “A western diet side story”: The effects of transitioning to a western-type diet on fertility. Endocrinology 2014, 155, 2341–2342. [Google Scholar] [CrossRef] [PubMed]
  14. Zhai, F.; Wang, H.; Du, S.; He, Y.; Wang, Z.; Ge, K.; Popkin, B.M. Prospective study on nutrition transition in China. Nutr. Rev. 2009, 67, S56–S61. [Google Scholar] [CrossRef] [PubMed]
  15. Bingham, S.A.; Gill, C.; Welch, A.; Day, K.; Cassidy, A.; Khaw, K.T.; Sneyd, M.J.; Key, T.J.; Roe, L.; Day, N.E. Comparison of dietary assessment methods in nutritional epidemiology: Weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br. J. Nutr. 1994, 72, 619–643. [Google Scholar] [CrossRef] [PubMed]
  16. Shim, J.S.; Oh, K.; Kim, H.C. Dietary assessment methods in epidemiologic studies. Epidemiol. Health 2014, 36, e2014009. [Google Scholar] [CrossRef] [PubMed]
  17. Wang, L. Report of China Nationwide Nutrition and Health Survey 2002 (1): Summary Report. People’s Medical Publishing House: Beijing, China, 2005; 18–45. [Google Scholar]
  18. Wang, Z.; Zhang, B.; Zhai, F.; Wang, H.; Zhang, J.; Du, W.; Su, C.; Jiang, H.; Popkin, B. Fatty and lean red meat consumption in China: Differential association with chinese abdominal obesity. Nutr. Metab. Cardiovasc. Dis. 2014, 24, 869–876. [Google Scholar] [CrossRef] [PubMed]
  19. Yang, Y.; Wang, G.; Pan, X. China Food Composition Tables 2002; Beijing University Medical Press: Beijing, China, 2002. [Google Scholar]
  20. National Institute of Health and Nutrition. Outline for the Results of the National Health and Nutrition Survey Japan. 2007. Available online: http://www.nih.go.jp/eiken/english/research/pdf/nhns2007.pdf (accessed on 2 August 2010).
  21. Center for Disease Control and Prevention. National Health and Nutrition Examination Survey (Nhanes 2009–2010) in America. 2009. Available online: http://wwwn.cdc.gov/nchs/nhanes/search/nhanes09_10.aspx (accessed on 28 May 2014). [Google Scholar]
  22. Benjamini, Y.; Hochberg, Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. R. Stat. Soc. B 1995, 57, 289–300. [Google Scholar]
  23. Du, S.; Mroz, T.A.; Zhai, F.; Popkin, B.M. Rapid income growth adversely affects diet quality in china—Particularly for the poor! Soc. Sci. Med. 2004, 59, 1505–1515. [Google Scholar] [CrossRef] [PubMed]
  24. Popkin, B.M.; Du, S. Dynamics of the nutrition transition toward the animal foods sector in China and its implications: A worried perspective. J. Nutr. 2003, 133, 3898S–3906S. [Google Scholar] [PubMed]
  25. Ng, S.W.; Zhai, F.; Popkin, B.M. Impacts of China’s edible oil pricing policy on nutrition. Soc. Sci. Med. 2008, 66, 414–426. [Google Scholar] [CrossRef] [PubMed]
  26. Chen, Z.; Shu, X.O.; Yang, G.; Li, H.; Li, Q.; Gao, Y.T.; Zheng, W. Nutrient intake among Chinese women living in Shanghai, China. Br. J. Nutr. 2006, 96, 393–399. [Google Scholar] [CrossRef] [PubMed]
  27. Zhai, F.; He, Y.; Wang, Z.; Yu, W.; Hu, Y.; Yao, X. The status and trends of dietary nutrients intake of Chinese population. Acta Nutr. Sin. 2004, 27, 181–184. [Google Scholar]
  28. Zhou, B.; Stamler, J.; Dennis, B.; Moag-Stahlberg, A.; Okuda, N.; Robertson, C.; Zhao, L.; Chan, Q.; Elliott, P. Nutrient intakes of middle-aged men and women in China, Japan, United Kingdom, and United States in the late 1990s: The intermap study. J. Hum. Hypertens. 2003, 17, 623–630. [Google Scholar] [CrossRef] [PubMed]
  29. Elliott, P.; Walker, L.L.; Little, M.P.; Blair-West, J.R.; Shade, R.E.; Lee, D.R.; Rouquet, P.; Leroy, E.; Jeunemaitre, X.; Ardaillou, R. Change in salt intake affects blood pressure of chimpanzees implications for human populations. Circulation 2007, 116, 1563–1568. [Google Scholar] [CrossRef] [PubMed]
  30. Rodgers, A.; Ezzati, M.; Vander Hoorn, S.; Lopez, A.D.; Lin, R.B.; Murray, C.J. Distribution of major health risks: Findings from the global burden of disease study. PLoS Med. 2004, 1, e27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Ezzati, M.; Lopez, A.D.; Rodgers, A.; Vander Hoorn, S.; Murray, C.J. Selected major risk factors and global and regional burden of disease. Lancet 2002, 360, 1347–1360. [Google Scholar] [CrossRef]
  32. Midgley, J.P.; Matthew, A.G.; Greenwood, C.M.T.; Logan, A.G. Effect of reduced dietary sodium on blood pressure: A meta-analysis of randomized controlled trials. J. Am. Med. Assoc. 1996, 275, 1590–1597. [Google Scholar] [CrossRef]
  33. Du, S.; Neiman, A.; Batis, C.; Wang, H.; Zhang, B.; Zhang, J.; Popkin, B.M. Understanding the patterns and trends of sodium intake, potassium intake, and sodium to potassium ratio and their effect on hypertension in china. Am. J. Clin. Nutr. 2014, 99, 334–343. [Google Scholar] [CrossRef] [PubMed]
  34. World Health Organization. Strategies to Monitor and Evaluate Population Sodium Consumption and Sources of Sodium in the Diet: Report of a Joint Technical Meeting Convened by WHO and the Government of Canada. World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  35. Chinese Nutrition Society. Chinese dietary reference intakes. Acta Nutr. Sin. 2001, 23, 193–196. [Google Scholar]
  36. Liu, A.; Zhang, B.; Wang, H.; Du, W.; Su, C.; Zhai, F. The nutrients intake trend of Chinese population in nine provinces from 1991 to 2009 (vi) calcium intake trend in chinese adults aged 18–49 years. Acta Nutr. Sin. 2012, 1, 10–14. [Google Scholar]
  37. Hurrell, R.; Egli, I. Iron bioavailability and dietary reference values. Am. J. Clin. Nutr. 2010, 91, 1461S–1467S. [Google Scholar] [CrossRef] [PubMed]
  38. Shi, Z.; Zhen, S.; Wittert, G.A.; Yuan, B.; Zuo, H.; Taylor, A.W. Inadequate riboflavin intake and anemia risk in a chinese population: Five-year follow up of the Jiangsu nutrition study. PLoS One 2014, 9, e88862. [Google Scholar] [CrossRef] [PubMed]
  39. Moghaddam, E.; Vogt, J.A.; Wolever, T.M. The effects of fat and protein on glycemic responses in nondiabetic humans vary with waist circumference, fasting plasma insulin, and dietary fiber intake. J. Nutr. 2006, 136, 2506–2511. [Google Scholar] [PubMed]
  40. Paeratakul, S.; Popkin, B.; Kohlmeier, L.; Hertz-Picciotto, I.; Guo, X.; Edwards, L. Measurement error in dietary data: Implications for the epidemiologic study of the diet-disease relationship. Eur. J. Clin. Nutr. 1998, 52, 722–727. [Google Scholar] [CrossRef] [PubMed]
  41. Kroes, R.; Müller, D.; Lambe, J.; Löwik, M.; van Klaveren, J.; Kleiner, J.; Massey, R.; Mayer, S.; Urieta, I.; Verger, P. Assessment of intake from the diet. Food Chem. Toxicol. 2002, 40, 327–385. [Google Scholar] [CrossRef]

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MDPI and ACS Style

Zhang, R.; Wang, Z.; Fei, Y.; Zhou, B.; Zheng, S.; Wang, L.; Huang, L.; Jiang, S.; Liu, Z.; Jiang, J.; et al. The Difference in Nutrient Intakes between Chinese and Mediterranean, Japanese and American Diets. Nutrients 2015, 7, 4661-4688. https://doi.org/10.3390/nu7064661

AMA Style

Zhang R, Wang Z, Fei Y, Zhou B, Zheng S, Wang L, Huang L, Jiang S, Liu Z, Jiang J, et al. The Difference in Nutrient Intakes between Chinese and Mediterranean, Japanese and American Diets. Nutrients. 2015; 7(6):4661-4688. https://doi.org/10.3390/nu7064661

Chicago/Turabian Style

Zhang, Ronghua, Zhaopin Wang, Ying Fei, Biao Zhou, Shuangshuang Zheng, Lijuan Wang, Lichun Huang, Shuying Jiang, Zeyu Liu, Jingxin Jiang, and et al. 2015. "The Difference in Nutrient Intakes between Chinese and Mediterranean, Japanese and American Diets" Nutrients 7, no. 6: 4661-4688. https://doi.org/10.3390/nu7064661

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