• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

宏量营养素摄入量与社会经济地位:日本生命营养与健康调查 2010 年报告

Macronutrient Intake and Socioeconomic Status: NIPPON DATA2010.

机构信息

Department of Social and Environmental Medicine, Kanazawa Medical University.

Medical Research Institute, Kanazawa Medical University.

出版信息

J Epidemiol. 2018;28 Suppl 3(Suppl 3):S17-S22. doi: 10.2188/jea.JE20170250.

DOI:10.2188/jea.JE20170250
PMID:29503380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5825686/
Abstract

BACKGROUND

This study examined the relationships among household income, other SES indicators, and macronutrient intake in a cross-sectional study of a representative Japanese population.

METHODS

In 2010, we established a cohort of participants in the National Health and Nutrition Survey (NHNS) from 300 randomly selected areas throughout Japan. A total of 2,637 participants (1,145 men and 1,492 women) were included in the study. Data from NHNS2010 and the Comprehensive Survey of Living Conditions 2010 (CSCL2010) were merged, and relationships among macronutrient intake and SES were evaluated. Additionally, socioeconomic factors associated with a risk of a higher carbohydrate/lower fat intake beyond dietary recommendations were evaluated.

RESULTS

Household income was positively associated with fat intake (P = 0.001 for men and <0.001 for women) and inversely associated with carbohydrate intake (P = 0.003 for men and <0.001 for women) after adjustments for age and other SES variables. Similar relationships were observed between equivalent household expenditure (EHE) and macronutrient intake; however, these relationships were weaker than those of household income. Older age was the factor most strongly associated with a high carbohydrate/low fat intake, followed by household income, EHE, education levels, and occupation type.

CONCLUSIONS

Older age was the factor most strongly associated with a high carbohydrate/low fat intake, and some aspects of SES, such as household income, EHE, education levels, and occupation type, were independently associated with an imbalanced macronutrient intake. SES may affect the health status of individuals through the intake of macronutrients.

摘要

背景

本研究通过对日本代表性人群的横断面研究,考察了家庭收入、其他社会经济地位(SES)指标与宏量营养素摄入之间的关系。

方法

2010 年,我们从日本各地 300 个随机选定的地区建立了国民健康和营养调查(NHNS)参与者队列。共有 2637 名参与者(1145 名男性和 1492 名女性)纳入本研究。将 NHNS2010 数据与 2010 年综合生活状况调查(CSCL2010)的数据合并,评估了宏量营养素摄入与 SES 之间的关系。此外,还评估了与超出饮食建议的高碳水化合物/低脂肪摄入风险相关的社会经济因素。

结果

调整年龄和其他 SES 变量后,家庭收入与男性脂肪摄入呈正相关(P = 0.001),与女性碳水化合物摄入呈负相关(P = 0.003)。家庭等效支出(EHE)与宏量营养素摄入之间也存在类似的关系,但这些关系比家庭收入的关系弱。年龄较大是与高碳水化合物/低脂肪摄入最相关的因素,其次是家庭收入、EHE、教育程度和职业类型。

结论

年龄较大是与高碳水化合物/低脂肪摄入最相关的因素,而 SES 的某些方面,如家庭收入、EHE、教育程度和职业类型,与不平衡的宏量营养素摄入独立相关。SES 可能通过宏量营养素的摄入影响个体的健康状况。

相似文献

1
Macronutrient Intake and Socioeconomic Status: NIPPON DATA2010.宏量营养素摄入量与社会经济地位:日本生命营养与健康调查 2010 年报告
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S17-S22. doi: 10.2188/jea.JE20170250.
2
Relationships among Food Group Intakes, Household Expenditure, and Education Attainment in a General Japanese Population: NIPPON DATA2010.一般日本人群中食物种类摄入、家庭支出与教育程度之间的关系:NIPPON DATA2010。
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S23-S28. doi: 10.2188/jea.JE20170248.
3
Socioeconomic Status Associated With Urinary Sodium and Potassium Excretion in Japan: NIPPON DATA2010.日本 2010 年国民健康营养调查显示社会经济地位与尿钠和尿钾排泄的关系
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S29-S34. doi: 10.2188/jea.JE20170253.
4
Relationships among Socioeconomic Factors and Self-rated Health in Japanese Adults: NIPPON DATA2010.日本成年人社会经济因素与自评健康的关系:NIPPON DATA2010。
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S66-S72. doi: 10.2188/jea.JE20170246.
5
Relationship Between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010.日本一般人群中社会经济地位与体重不足、超重或肥胖患病率的关系:NIPPON DATA2010。
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S10-S16. doi: 10.2188/jea.JE20170249.
6
Association between socioeconomic status and prolonged television viewing time in a general Japanese population: NIPPON DATA2010.日本一般人群中社会经济地位与长时间看电视之间的关联:NIPPON DATA2010。
Environ Health Prev Med. 2021 May 7;26(1):57. doi: 10.1186/s12199-021-00978-6.
7
Evaluation of older Chinese people's macronutrient intake status: results from the China Health and Nutrition Survey.中国老年人常量营养素摄入状况评估:来自中国健康与营养调查的结果
Br J Nutr. 2015 Jan 14;113(1):159-71. doi: 10.1017/S0007114514003444. Epub 2014 Nov 13.
8
Total energy intake and intake of three major nutrients by body mass index in Japan: NIPPON DATA80 and NIPPON DATA90.日本按体质指数划分的总能量摄入和三大营养素摄入量:NIPPON DATA80 和 NIPPON DATA90。
J Epidemiol. 2010;20 Suppl 3(Suppl 3):S515-23. doi: 10.2188/jea.je20090219.
9
Socioeconomic Status and Knowledge of Cardiovascular Risk Factors: NIPPON DATA2010.社会经济地位与心血管危险因素知识:NIPPON DATA2010
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S46-S52. doi: 10.2188/jea.JE20170255.
10
The National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged 2010 (NIPPON DATA2010): Objectives, Design, and Population Characteristics.国家 2010 年老龄化人群非传染性疾病前瞻性观察及趋势综合研究(NIPPON DATA2010):目的、设计及人口特征。
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S2-S9. doi: 10.2188/jea.JE20170240.

引用本文的文献

1
Dietary patterns derived by reduced rank regression, macronutrients as response variables, and variation by economic status: NHANES 1999-2018.基于降秩回归、宏量营养素为因变量和经济状况差异的膳食模式:NHANES 1999-2018。
Eur J Nutr. 2024 Dec;63(8):3207-3221. doi: 10.1007/s00394-024-03501-z. Epub 2024 Sep 17.
2
Effects of Interaction between and Carbohydrate Intake on the Incidence of Metabolic Syndrome in Korean Middle-Aged Adults.和碳水化合物摄入的相互作用对韩国中年成年人代谢综合征发病率的影响。
Nutrients. 2023 Jan 16;15(2):469. doi: 10.3390/nu15020469.
3
Association between Seafood Intake and Cardiovascular Disease in South Korean Adults: A Community-Based Prospective Cohort Study.韩国成年人的海鲜摄入量与心血管疾病的关系:一项基于社区的前瞻性队列研究。
Nutrients. 2022 Nov 17;14(22):4864. doi: 10.3390/nu14224864.
4
The Direct and Structure Effect of Income on Nutrition Demand of Chinese Rural Residents.收入对中国农村居民营养需求的直接和结构效应。
Int J Environ Res Public Health. 2022 Oct 17;19(20):13388. doi: 10.3390/ijerph192013388.
5
Household Income Is Related to Dietary Fiber Intake and Dietary Acid Load in People with Type 2 Diabetes: A Cross-Sectional Study.家庭收入与 2 型糖尿病患者膳食纤维摄入量和饮食酸负荷有关:一项横断面研究。
Nutrients. 2022 Aug 7;14(15):3229. doi: 10.3390/nu14153229.
6
Analysis of the Relationship between Socioeconomic Status and Incidence of Hysterectomy Using Data of the Korean Genome and Epidemiology Study (KoGES).利用韩国基因组与流行病学研究(KoGES)的数据分析社会经济地位与子宫切除术发病率之间的关系。
Healthcare (Basel). 2022 May 27;10(6):997. doi: 10.3390/healthcare10060997.
7
Association between Carbohydrate Intake and the Prevalence of Metabolic Syndrome in Korean Women.碳水化合物摄入与韩国女性代谢综合征患病率的关系。
Nutrients. 2021 Sep 3;13(9):3098. doi: 10.3390/nu13093098.
8
Iron Fortification and Supplementation: Fighting Anemia of Chronic Diseases or Fueling Obesity?铁强化与补充:对抗慢性病贫血还是助长肥胖?
Curr Dev Nutr. 2021 Apr 7;5(4):nzab032. doi: 10.1093/cdn/nzab032. eCollection 2021 Apr.
9
Inverse Association between Iron Deficiency and Glycated Hemoglobin Levels in Ghanaian Adults-the RODAM Study.加纳成年人缺铁与糖化血红蛋白水平呈负相关-RODAM 研究。
J Nutr. 2020 Jul 1;150(7):1899-1908. doi: 10.1093/jn/nxaa109.
10
Different Associations of Socioeconomic Status on Protein Intake in the Korean Elderly Population: A Cross-Sectional Analysis of the Korea National Health and Nutrition Examination Survey.不同社会经济地位对韩国老年人群蛋白质摄入量的影响:韩国国家健康和营养检查调查的横断面分析。
Nutrients. 2019 Dec 19;12(1):10. doi: 10.3390/nu12010010.

本文引用的文献

1
The National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged 2010 (NIPPON DATA2010): Objectives, Design, and Population Characteristics.国家 2010 年老龄化人群非传染性疾病前瞻性观察及趋势综合研究(NIPPON DATA2010):目的、设计及人口特征。
J Epidemiol. 2018;28 Suppl 3(Suppl 3):S2-S9. doi: 10.2188/jea.JE20170240.
2
Characteristics of food group intake by household income in the National Health and Nutrition Survey, Japan.日本国民健康与营养调查中按家庭收入划分的食物组摄入量特征
Asia Pac J Clin Nutr. 2017 Jan;26(1):156-159. doi: 10.6133/apjcn.102015.15.
3
Dietary protein intake is associated with better physical function and muscle strength among elderly women.老年女性的膳食蛋白质摄入量与更好的身体机能和肌肉力量相关。
Br J Nutr. 2016 Apr 14;115(7):1281-91. doi: 10.1017/S000711451600012X. Epub 2016 Feb 9.
4
Data Resource Profile: The Japan National Health and Nutrition Survey (NHNS).数据资源简介:日本国民健康与营养调查(NHNS)
Int J Epidemiol. 2015 Dec;44(6):1842-9. doi: 10.1093/ije/dyv152. Epub 2015 Aug 3.
5
Higher Protein Intake Is Associated with Higher Lean Mass and Quadriceps Muscle Strength in Adult Men and Women.在成年男性和女性中,较高的蛋白质摄入量与较高的瘦体重和股四头肌力量相关。
J Nutr. 2015 Jul;145(7):1569-75. doi: 10.3945/jn.114.204925. Epub 2015 May 27.
6
Dietary carbohydrate restriction as the first approach in diabetes management: critical review and evidence base.将饮食中的碳水化合物限制作为糖尿病管理的首要方法:批判性综述与证据基础
Nutrition. 2015 Jan;31(1):1-13. doi: 10.1016/j.nut.2014.06.011. Epub 2014 Jul 16.
7
Low-carbohydrate diets and cardiovascular and total mortality in Japanese: a 29-year follow-up of NIPPON DATA80.低碳水化合物饮食与日本人的心血管疾病及全因死亡率:对日本国家健康与营养调查(NIPPON DATA80)的29年随访
Br J Nutr. 2014 Sep 28;112(6):916-24. doi: 10.1017/S0007114514001627.
8
Improving population health measurement in national household surveys: a simulation study of the sample design of the comprehensive survey of living conditions of the people on health and welfare in Japan.提高国家住户调查中的人口健康测量水平:以日本国民健康与福利深度调查的抽样设计为例的模拟研究。
J Epidemiol. 2011;21(5):385-90. doi: 10.2188/jea.JE20100102. Epub 2011 Aug 13.
9
Carbohydrate restriction has a more favorable impact on the metabolic syndrome than a low fat diet.与低脂饮食相比,限制碳水化合物对代谢综合征有更有利的影响。
Lipids. 2009 Apr;44(4):297-309. doi: 10.1007/s11745-008-3274-2. Epub 2008 Dec 12.
10
Does social class predict diet quality?社会阶层能预测饮食质量吗?
Am J Clin Nutr. 2008 May;87(5):1107-17. doi: 10.1093/ajcn/87.5.1107.