A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

[Analysis of differentiated regional dietary patterns of adults aged 18-64 years in 15 provinces( autonomous regions, municipalities) in 2018]. | LitMetric

[Analysis of differentiated regional dietary patterns of adults aged 18-64 years in 15 provinces( autonomous regions, municipalities) in 2018].

Wei Sheng Yan Jiu

National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China Key Laboratory of Trace Elements and Nutrition, National Health Commission, Beijing 100050, China.

Published: January 2023

Objective: To analyze the dietary patterns of Chinese adults in 15 provinces and cities in China.

Methods: A total of 9208 adults aged 18-64 from the "China Health and Nutrition Survey" in 2018 were selected as subjects. Food consumption data were collected through 3 d-24 h dietary recalls and weighing household cooking oil and condiments, and the average daily dietary nutrient intake was calculated by the food composition table. Clustering analysis was used to analyze dietary patterns in different regions, and data from the 2009 China Health and Nutrition Survey were used for comparison.

Results: Three dietary patterns were obtained in this study, including northern pattern, coastal pattern and southern pattern. The analysis of demographic characteristics showed that the intake of cereals, vegetables and livestock were statistically different among different age groups, and livestock and poultry intake was higher in the 18-49 years; Fruit and milk were higher in women and other foods were higher in men; The intakes of cereals, tubers, legumes and vegetables were higher in rural areas, people with low income and low education levels, and other foods were higher in urban areas, people with high income and high education levels, especially milk. Compared with the dietary guidelines, it was found that the proportion of insufficient intake of dark vegetables, fruits and nuts in three patterns and milk, eggs in the southern pattern and aquatic products in the northern pattern was up to 80%, the other food intake was in 50%-80%; The proportion of excessive intake of livestock and poultry meat in the southern mode was significantly higher, reaching 78%. Nutrient analysis showed that the intake of carbohydrate, dietary fiber and carbohydrate energy ratio, vitamin E, magnesium and manganese were higher in the northern pattern; The intakes of protein, protein energy ratio, riboflavin, potassium, sodium, calcium, phosphorus, copper and selenium were higher in the coastal pattern; The southernpattern had a higher intake of energy, fat, fat energy ratio, niacin, retinol, zinc and vitamin C. In addition, the comparison between 2009 and 2018 showed that the intake of most foods except milk has decreased to varying degrees in the past decade, while the intake of some foods has increased.

Conclusion: The 15 provinces in China were divided into three dietary patterns. Unbalanced intake of food and nutrients was common among them, and the intake was influenced by different demographic characteristics. In addition, most food intake has declined over the past decade.

Download full-text PDF

Source
http://dx.doi.org/10.19813/j.cnki.weishengyanjiu.2023.01.003DOI Listing

Publication Analysis

Top Keywords

dietary patterns
20
intake
13
northern pattern
12
energy ratio
12
dietary
9
higher
9
adults aged
8
aged 18-64
8
analyze dietary
8
health nutrition
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!