Article(id=1324078152749818498, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078037817504735, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202509021, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1756742400000, receivedDateStr=2025-09-02, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793614431797, onlineDateStr=2026-11-02, pubDate=1770652800000, pubDateStr=2026-02-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793614431797, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793614431797, creator=13701087609, updateTime=1793614431797, updator=13701087609, issue=Issue{id=1324078037817504735, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='3', pageStart='385', pageEnd='576', issueExtLink='null', onlineDate='null', pubDate='1770652800000', pubDateStr='2026-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793614404396, creator='13701087609', updateTime=1793614474144, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324078330420527919, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078037817504735, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324078330420527920, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078037817504735, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=447, endPage=452, ext={EN=ArticleExt(id=1324078154419151491, articleId=1324078152749818498, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association between dietary diversity and nutritional status among community-dwelling older adults in Shanghai, columnId=1228016572783063333, journalTitle=Modern Preventive Medicine, columnName=Nutrition and Food Hygiene, runingTitle=null, highlight=null, articleAbstract=
Objective To investigate the correlation between daily dietary diversity and nutritional status among community-dwelling older adults.
Methods Data were collected from April to October 2024 from 4 578 elderly individuals (aged≥60 years)in the four towns of Jiading District, Shanghai, employing a multistage cluster random sampling approach. A Dietary Diversity Score (DDS) was constructed based on nine food groups: cereals, vegetables, fruits, livestock meat, fish/shrimp, eggs, milk/dairy products, legumes/legume products, and oils/fats. Nutritional status was assessed using the Mini Nutritional Assessment (MNA).Ordinal logistic regression analysis was employed to examine the relationship between DDS and nutritional status, as well as the impact of specific food group intake on nutritional status.
Results The malnourished group exhibited characteristics including older age (63.46%), primary school education or less (69.23%), non-married status (51.92%), and underweight status (25.00%).DDS was a protective factor for nutritional status in older adults (OR=1.986, 95% CI:1.649-2.392, P<0.001). The well-nourished group reported significantly higher intake frequencies than the malnourished group for fruits (χ2=50.507, P<0.001),vegetables (χ2=17.496, P<0.001), legumes (χ2=20.340, P<0.001), milk/dairy products (χ2=50.472, P<0.001), eggs (χ2=81.994,P<0.001), fish/seafood (χ2=9.825, P=0.007), and meat (χ2=52.414, P<0.001). Intake of fruits, legumes, milk/dairy products,eggs, and meat significantly increased the probability of improved nutritional status (P<0.05). The effect sizes were most pronounced for meat (OR=1.170, 95% CI: 1.470-2.718) and eggs (OR=1.123, 95% CI:1.499-2.358).
Conclusion Promoting dietary diversity among community-dwelling older adults may help mitigate the risk of deteriorating nutritional status.
, authors=Bo-rui YANG
1, Chu SHEN
2, Hong-fei ZHU
1, Yi-shan XU
1, Li-feng ZHOU
3, Ying WANG
1, authorsList=Bo-rui YANG, Chu SHEN, Hong-fei ZHU, Yi-shan XU, Li-feng ZHOU, Ying WANG, authorCompany=null, correspAuthors=Li-feng ZHOU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324078155329315462, articleId=1324078152749818498, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=上海市社区老年人食物多样性与营养状况的相关性研究, columnId=1228016573034721597, journalTitle=现代预防医学, columnName=营养与食品卫生, runingTitle=null, highlight=null, articleAbstract=
目的 探究社区老年人日常食物摄入多样化与营养状况的相关性。
方法 2024年4—10月于上海市嘉定区四街镇采用多阶段整群随机抽样法调查≥60岁老年人4 578例。食物多样化评分（dietary diversity score，DDS）以谷类、蔬菜类、水果类、畜肉类、鱼虾类、蛋类、奶类及奶制品、豆类及豆制品、油脂类等九个食物种类构建。使用微型营养评估量表（mini nutritional assessment，MNA）评估社区老年人的营养状况。采用有序logistic回归探讨DDS与老年人营养状况的关系以及各类食物摄入对老年人营养状况的影响。
结果 营养不良组呈高龄（63.46%）、小学及以下文化程度（69.23%）、非在婚状态（51.92%）和低体重状态（25.00%）特征。DDS是老年人营养状况的保护因素（OR=1.986，95% CI：1.649～2.392，P<0.001）。营养良好组水果（χ2=50.507，P<0.001）、蔬菜（χ2=17.496，P<0.001）、豆类（χ2=20.340，P<0.001）、牛奶或奶制品（χ2=50.472，P<0.001）、蛋类（χ2=81.994，P<0.001）、鱼或海鲜（χ2=9.825，P=0.007）和肉类（χ2=52.414，P<0.001）摄入频率均高于营养不良组。水果、豆类、牛奶或奶制品、蛋类和肉类摄入均显著提升老年人营养状况改善概率（P<0.05），效应强度以肉类（OR=1.170，95% CI：1.470～2.718）和蛋类（OR=1.123，95% CI：1.499～2.358）最为突出。
结论 提示在社区老年人中关注并改善其食物多样性，可能有助于降低营养状况恶化的风险。
, authors=杨博瑞
1, 沈初
2, 朱鸿飞
1, 徐艺珊
1, 周黎峰
3, 王颖
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杨博瑞（2001—），女，硕士在读，研究方向：社会医学健康老龄化
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本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点，除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=UHYvgHRAz3LggFqHG1vV5Q==, magXml=PM4gGXJuGZ1aHGn4pb+6Ug==, pdfUrl=null, pdf=W0xaC0wL/t7Hh7m3nY3GvA==, pdfFileSize=683198, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=p90Oxxwx2qfo8Rooxo/NzA==, mapNumber=null, fund=null)}, authors=[Author(id=1324078155887157903, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1324078155983626897, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, authorId=1324078155887157903, language=EN, stringName=Bo-rui YANG, firstName=Bo-rui, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.复旦大学公共卫生学院/公共卫生安全教育部重点实验室/国家卫生健康委员会卫生技术评估重点实验室，上海 200032, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1324078155580973703, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, xref=1., ext=[AuthorCompanyExt(id=1324078155593556616, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, companyId=1324078155580973703, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China), AuthorCompanyExt(id=1324078155606139529, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, companyId=1324078155580973703, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.复旦大学公共卫生学院/公共卫生安全教育部重点实验室/国家卫生健康委员会卫生技术评估重点实验室，上海 200032)])])], keywords=[Keyword(id=1324078159125160620, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, orderNo=1, keyword=Nutritional status), Keyword(id=1324078159209046701, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, orderNo=2, keyword=Older adults), Keyword(id=1324078159284544174, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, orderNo=3, keyword=Dietary Diversity Sscore), Keyword(id=1324078159368430255, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, orderNo=4, keyword=Mini Nutritional Assessment), Keyword(id=1324078159435539120, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, orderNo=1, keyword=营养状况), Keyword(id=1324078159552979633, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, orderNo=2, keyword=老年人), Keyword(id=1324078159607505586, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, orderNo=3, keyword=食物多样化), Keyword(id=1324078159687197363, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, orderNo=4, keyword=微型营养评定量表)], refs=[Reference(id=1324078160601555645, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[1], rfOrder=0, authorNames=上海市人民政府, journalName=null, refType=null, unstructuredReference=上海市人民政府.上海发布最新数据：上海户籍60岁以上老人577万，占37.6%[EB/OL].[2025-11-29].
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https://www.shanghai.gov.cn/nw4411/20250521/9cd16db60e124efeaab01936311e8f05.html. (In Chinese), articleTitle="Megacity elderly care": How Shanghai is enhancing senior satisfaction through comprehensive service upgrades, refAbstract=null)], funds=[Fund(id=1324078160488309436, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, awardId=GWGZLXK-2023-02, language=CN, fundingSource=复旦-嘉定公共卫生高质量发展重点学科项目(GWGZLXK-2023-02), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324078155580973703, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, xref=1., ext=[AuthorCompanyExt(id=1324078155593556616, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, companyId=1324078155580973703, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China), AuthorCompanyExt(id=1324078155606139529, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, companyId=1324078155580973703, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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Nutritional status and DDS of older adults by characteristic ［n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 总体 | 不同营养状态人群分布 | DDS |
|---|
营养不良
(n=52) | 营养不良风险
(n=1008) | 营养良好
(n=3 518) | χ2值 | P值 | 不足
(n=22) | 适中
(n=624) | 充足
(n=3 932) | χ2值 | P值 |
|---|
| 性别 | | | | | 47.192 | <0.001 | | | | 2.513 | 0.285 |
| 男 | 2 158(47.14) | 16(30.77) | 387(38.39) | 1 755(49.89) | | | 7(31.82) | 287(45.99) | 1 864(47.41) | | |
| 女 | 2 420(52.86) | 36(69.23) | 621(61.61) | 1 763(50.11) | | | 15(68.18) | 337(54.01) | 2 068(52.59) | | |
| 年龄（岁） | | | | | 338.929 | <0.001 | | | | 34.957 | <0.001 |
| 60~69 | 2 153(47.03) | 6(11.54) | 344(34.13) | 1 803(51.25) | | | 5(22.73) | 259(41.51) | 1 889(48.04) | | |
| 70~79 | 1 706(37.27) | 13(25.00) | 388(38.49) | 1 305(37.09) | | | 11(50.00) | 224(35.90) | 1 471(37.41) | | |
| 80~89 | 609(13.30) | 20(38.46) | 221(21.92) | 368(10.46) | | | 6(27.27) | 119(19.07) | 484(12.31) | | |
| ≥90 | 110(2.40) | 13(25.00) | 55(5.46) | 42(1.19) | | | 0(0.00) | 22(3.53) | 88(2.24) | | |
| 民族 | | | | | 10.489 | 0.005 | | | | 0.095 | 0.954 |
| 汉族 | 4 569(99.80) | 52(100.00) | 1 002(99.40) | 3 515(99.91) | | | 22(100.00) | 623(99.84) | 3 924(99.80) | | |
| 其他 | 9(0.20) | 0(0.00) | 6(0.60) | 3(0.09) | | | 0(0.00) | 1(0.16) | 8(0.20) | | |
| 文化程度 | | | | | 102.889 | <0.001 | | | | 22.311 | <0.001 |
| 小学及以下 | 1 925(42.05) | 36(69.23) | 545(54.07) | 1 344(38.20) | | | 11(50.00) | 315(50.48) | 1 599(40.67) | | |
| 初中 | 1 939(42.35) | 10(19.23) | 361(35.81) | 1 568(44.57) | | | 7(31.82) | 227(36.38) | 1 705(43.36) | | |
| 高中及以上 | 714(15.60) | 6(11.54) | 102(10.12) | 606(17.23) | | | 4(18.18) | 82(13.14) | 628(15.97) | | |
| 婚姻状况 | | | | | 103.634 | <0.001 | | | | 15.303 | <0.001 |
| 在婚 | 3 885(84.86) | 25(48.08) | 790(78.37) | 3 070(87.27) | | | 19(86.36) | 497(79.65) | 3 369(85.68) | | |
| 其他 | 693(15.14) | 27(51.92) | 218(21.63) | 448(12.73) | | | 3(13.64) | 127(20.35) | 563(14.32) | | |
| 居住情况 | | | | | 2.185 | 0.335 | | | | 5.237 | 0.073 |
| 同住 | 4 162(90.91) | 45(86.54) | 909(90.18) | 3 208(91.19) | | | 19(86.36) | 553(88.62) | 3 590(91.30) | | |
| 独居 | 416(9.09) | 7(13.46) | 99(9.82) | 310(8.81) | | | 3(13.64) | 71(11.38) | 342(8.70) | | |
| 吸烟情况 | | | | | 39.74 | <0.001 | | | | 4.606 | 0.330 |
| 从不吸烟 | 3 243(70.84) | 47(90.38) | 776(76.98) | 2 420(68.79) | | | 18(81.82) | 442(70.83) | 2 783(70.78) | | |
| 已戒烟 | 368(8.04) | 2(3.85) | 78(7.74) | 288(8.19) | | | 1(4.55) | 40(6.41) | 327(8.32) | | |
| 吸烟 | 967(21.12) | 3(5.77) | 154(15.28) | 810(23.02) | | | 3(13.64) | 142(22.76) | 822(20.91) | | |
| 饮酒情况 | | | | | 39.85 | <0.001 | | | | 5.614 | 0.230 |
| 从不饮酒 | 3 650(79.73) | 49(94.23) | 843(83.63) | 2 758(78.40) | | | 21(95.45) | 505(80.93) | 3 124(79.45) | | |
| 已戒酒 | 154(3.36) | 1(1.92) | 48(4.76) | 105(2.98) | | | 1(4.55) | 22(3.53) | 131(3.33) | | |
| 饮酒 | 774(16.91) | 2(3.85) | 117(11.61) | 655(18.62) | | | 0(0.00) | 97(15.54) | 677(17.22) | | |
| BMI | | | | | 633.553 | <0.001 | | | | 6.022 | 0.421 |
| 偏瘦 | 115(2.51) | 13(25.00) | 98(9.72) | 4(0.11) | | | 1(4.55) | 21(3.37) | 93(2.37) | | |
| 正常 | 1 846(40.32) | 19(36.54) | 579(57.44) | 1 248(35.47) | | | 9(40.91) | 231(37.02) | 1 606(40.84) | | |
| 过重 | 1 947(42.53) | 19(36.54) | 261(25.89) | 1 667(47.38) | | | 9(40.91) | 270(43.27) | 1 668(42.42) | | |
| 肥胖 | 670(14.64) | 1(1.92) | 70(6.94) | 599(17.03) | | | 3(13.64) | 102(16.35) | 565(14.37) | | |
), ArticleFig(id=1324078159938855605, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, label=表1, caption=
不同特征的老年人营养状态和DDS［n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 总体 | 不同营养状态人群分布 | DDS |
|---|
营养不良
(n=52) | 营养不良风险
(n=1008) | 营养良好
(n=3 518) | χ2值 | P值 | 不足
(n=22) | 适中
(n=624) | 充足
(n=3 932) | χ2值 | P值 |
|---|
| 性别 | | | | | 47.192 | <0.001 | | | | 2.513 | 0.285 |
| 男 | 2 158(47.14) | 16(30.77) | 387(38.39) | 1 755(49.89) | | | 7(31.82) | 287(45.99) | 1 864(47.41) | | |
| 女 | 2 420(52.86) | 36(69.23) | 621(61.61) | 1 763(50.11) | | | 15(68.18) | 337(54.01) | 2 068(52.59) | | |
| 年龄（岁） | | | | | 338.929 | <0.001 | | | | 34.957 | <0.001 |
| 60~69 | 2 153(47.03) | 6(11.54) | 344(34.13) | 1 803(51.25) | | | 5(22.73) | 259(41.51) | 1 889(48.04) | | |
| 70~79 | 1 706(37.27) | 13(25.00) | 388(38.49) | 1 305(37.09) | | | 11(50.00) | 224(35.90) | 1 471(37.41) | | |
| 80~89 | 609(13.30) | 20(38.46) | 221(21.92) | 368(10.46) | | | 6(27.27) | 119(19.07) | 484(12.31) | | |
| ≥90 | 110(2.40) | 13(25.00) | 55(5.46) | 42(1.19) | | | 0(0.00) | 22(3.53) | 88(2.24) | | |
| 民族 | | | | | 10.489 | 0.005 | | | | 0.095 | 0.954 |
| 汉族 | 4 569(99.80) | 52(100.00) | 1 002(99.40) | 3 515(99.91) | | | 22(100.00) | 623(99.84) | 3 924(99.80) | | |
| 其他 | 9(0.20) | 0(0.00) | 6(0.60) | 3(0.09) | | | 0(0.00) | 1(0.16) | 8(0.20) | | |
| 文化程度 | | | | | 102.889 | <0.001 | | | | 22.311 | <0.001 |
| 小学及以下 | 1 925(42.05) | 36(69.23) | 545(54.07) | 1 344(38.20) | | | 11(50.00) | 315(50.48) | 1 599(40.67) | | |
| 初中 | 1 939(42.35) | 10(19.23) | 361(35.81) | 1 568(44.57) | | | 7(31.82) | 227(36.38) | 1 705(43.36) | | |
| 高中及以上 | 714(15.60) | 6(11.54) | 102(10.12) | 606(17.23) | | | 4(18.18) | 82(13.14) | 628(15.97) | | |
| 婚姻状况 | | | | | 103.634 | <0.001 | | | | 15.303 | <0.001 |
| 在婚 | 3 885(84.86) | 25(48.08) | 790(78.37) | 3 070(87.27) | | | 19(86.36) | 497(79.65) | 3 369(85.68) | | |
| 其他 | 693(15.14) | 27(51.92) | 218(21.63) | 448(12.73) | | | 3(13.64) | 127(20.35) | 563(14.32) | | |
| 居住情况 | | | | | 2.185 | 0.335 | | | | 5.237 | 0.073 |
| 同住 | 4 162(90.91) | 45(86.54) | 909(90.18) | 3 208(91.19) | | | 19(86.36) | 553(88.62) | 3 590(91.30) | | |
| 独居 | 416(9.09) | 7(13.46) | 99(9.82) | 310(8.81) | | | 3(13.64) | 71(11.38) | 342(8.70) | | |
| 吸烟情况 | | | | | 39.74 | <0.001 | | | | 4.606 | 0.330 |
| 从不吸烟 | 3 243(70.84) | 47(90.38) | 776(76.98) | 2 420(68.79) | | | 18(81.82) | 442(70.83) | 2 783(70.78) | | |
| 已戒烟 | 368(8.04) | 2(3.85) | 78(7.74) | 288(8.19) | | | 1(4.55) | 40(6.41) | 327(8.32) | | |
| 吸烟 | 967(21.12) | 3(5.77) | 154(15.28) | 810(23.02) | | | 3(13.64) | 142(22.76) | 822(20.91) | | |
| 饮酒情况 | | | | | 39.85 | <0.001 | | | | 5.614 | 0.230 |
| 从不饮酒 | 3 650(79.73) | 49(94.23) | 843(83.63) | 2 758(78.40) | | | 21(95.45) | 505(80.93) | 3 124(79.45) | | |
| 已戒酒 | 154(3.36) | 1(1.92) | 48(4.76) | 105(2.98) | | | 1(4.55) | 22(3.53) | 131(3.33) | | |
| 饮酒 | 774(16.91) | 2(3.85) | 117(11.61) | 655(18.62) | | | 0(0.00) | 97(15.54) | 677(17.22) | | |
| BMI | | | | | 633.553 | <0.001 | | | | 6.022 | 0.421 |
| 偏瘦 | 115(2.51) | 13(25.00) | 98(9.72) | 4(0.11) | | | 1(4.55) | 21(3.37) | 93(2.37) | | |
| 正常 | 1 846(40.32) | 19(36.54) | 579(57.44) | 1 248(35.47) | | | 9(40.91) | 231(37.02) | 1 606(40.84) | | |
| 过重 | 1 947(42.53) | 19(36.54) | 261(25.89) | 1 667(47.38) | | | 9(40.91) | 270(43.27) | 1 668(42.42) | | |
| 肥胖 | 670(14.64) | 1(1.92) | 70(6.94) | 599(17.03) | | | 3(13.64) | 102(16.35) | 565(14.37) | | |
), ArticleFig(id=1324078160014353078, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, label=Table 2, caption=
Comparison of food intake by nutritional status group ［n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组别 | 例数 | 谷类 | 水果 | 蔬菜 | 豆类 | 油脂类 | 牛奶或奶制品 | 蛋类 | 鱼或海鲜 | 肉类 |
|---|
| 营养不良 | 52 | 49(94.23) | 41(78.85) | 50(96.15) | 32(61.54) | 51(98.08) | 28(53.85) | 42(80.77) | 40(76.92) | 44(84.62) |
| 有营养不良风险 | 1 008 | 942(93.45) | 843(83.63) | 998(99.01) | 723(71.73) | 989(98.12) | 530(52.58) | 837(83.04) | 788(78.17) | 926(91.87) |
| 营养良好 | 3 518 | 3 293(93.60) | 3 202(91.02) | 3 506(99.66) | 2 726(77.49) | 3 563(98.44) | 2 277(64.72) | 3 249(92.35) | 2 898(82.38) | 3 396(96.53) |
| χ2值 | | 0.067 | 50.507 | 17.496 | 20.340 | 0.529 | 50.472 | 81.994 | 9.825 | 52.414 |
| P值 | | 0.967 | <0.001 | <0.001 | <0.001 | 0.768 | <0.001 | <0.001 | 0.007 | <0.001 |
), ArticleFig(id=1324078160081461943, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, label=表2, caption=
不同营养状况组食物摄入情况比较［n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组别 | 例数 | 谷类 | 水果 | 蔬菜 | 豆类 | 油脂类 | 牛奶或奶制品 | 蛋类 | 鱼或海鲜 | 肉类 |
|---|
| 营养不良 | 52 | 49(94.23) | 41(78.85) | 50(96.15) | 32(61.54) | 51(98.08) | 28(53.85) | 42(80.77) | 40(76.92) | 44(84.62) |
| 有营养不良风险 | 1 008 | 942(93.45) | 843(83.63) | 998(99.01) | 723(71.73) | 989(98.12) | 530(52.58) | 837(83.04) | 788(78.17) | 926(91.87) |
| 营养良好 | 3 518 | 3 293(93.60) | 3 202(91.02) | 3 506(99.66) | 2 726(77.49) | 3 563(98.44) | 2 277(64.72) | 3 249(92.35) | 2 898(82.38) | 3 396(96.53) |
| χ2值 | | 0.067 | 50.507 | 17.496 | 20.340 | 0.529 | 50.472 | 81.994 | 9.825 | 52.414 |
| P值 | | 0.967 | <0.001 | <0.001 | <0.001 | 0.768 | <0.001 | <0.001 | 0.007 | <0.001 |
), ArticleFig(id=1324078160156959416, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, label=Table 3, caption=
Ordinal logistic regression analysis of the association between dietary diversity level and nutritional status in older adults
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | β | 标准误 | Wald | P值 | OR值（95%CI） |
|---|
| 模型1 | 0.670 | 0.086 | 60.921 | <0.001 | 1.954(1.652~2.312) |
| 模型2 | 0.588 | 0.089 | 43.696 | <0.001 | 1.800(1.511~2.143) |
| 模型3 | 0.575 | 0.089 | 41.49 | <0.001 | 1.777(1.492~2.115) |
| 模型4 | 0.686 | 0.095 | 51.133 | <0.001 | 1.986(1.649~2.392) |
), ArticleFig(id=1324078160236651193, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, label=表3, caption=
食物多样化水平与老年人营养状况的有序logistic回归分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | β | 标准误 | Wald | P值 | OR值（95%CI） |
|---|
| 模型1 | 0.670 | 0.086 | 60.921 | <0.001 | 1.954(1.652~2.312) |
| 模型2 | 0.588 | 0.089 | 43.696 | <0.001 | 1.800(1.511~2.143) |
| 模型3 | 0.575 | 0.089 | 41.49 | <0.001 | 1.777(1.492~2.115) |
| 模型4 | 0.686 | 0.095 | 51.133 | <0.001 | 1.986(1.649~2.392) |
), ArticleFig(id=1324078160316342970, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=EN, label=Table 4, caption=
Results of the ordinal logistic regression analysis on the relationship between nutritional status and food variety intake in older adults
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | β | 标准误 | Wald | P值 | OR值（95%CI） |
|---|
| 谷类 | -0.180 | 0.147 | 1.486 | 0.223 | 1.158(0.626~1.115) |
| 水果 | 0.506 | 0.106 | 22.618 | <0.001 | 1.112(1.347~2.044) |
| 蔬菜 | 0.441 | 0.427 | 1.069 | 0.301 | 1.533(0.674~3.589) |
| 豆类 | 0.187 | 0.083 | 5.134 | 0.023 | 1.087(1.025~1.418) |
| 油脂类 | -0.060 | 0.276 | 0.048 | 0.827 | 1.318(0.548~1.618) |
| 牛奶或奶制品 | 0.299 | 0.076 | 15.302 | <0.001 | 1.079(1.161~1.565) |
| 蛋类 | 0.632 | 0.116 | 29.92 | <0.001 | 1.123(1.499~2.358) |
| 鱼或海鲜 | -0.157 | 0.100 | 2.473 | 0.116 | 1.105(0.702~1.040) |
| 肉类 | 0.692 | 0.157 | 19.456 | <0.001 | 1.170(1.470~2.718) |
), ArticleFig(id=1324078160396034747, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078152749818498, language=CN, label=表4, caption=
老年人营养状况和摄入食物种类关系的有序logistic回归结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | β | 标准误 | Wald | P值 | OR值（95%CI） |
|---|
| 谷类 | -0.180 | 0.147 | 1.486 | 0.223 | 1.158(0.626~1.115) |
| 水果 | 0.506 | 0.106 | 22.618 | <0.001 | 1.112(1.347~2.044) |
| 蔬菜 | 0.441 | 0.427 | 1.069 | 0.301 | 1.533(0.674~3.589) |
| 豆类 | 0.187 | 0.083 | 5.134 | 0.023 | 1.087(1.025~1.418) |
| 油脂类 | -0.060 | 0.276 | 0.048 | 0.827 | 1.318(0.548~1.618) |
| 牛奶或奶制品 | 0.299 | 0.076 | 15.302 | <0.001 | 1.079(1.161~1.565) |
| 蛋类 | 0.632 | 0.116 | 29.92 | <0.001 | 1.123(1.499~2.358) |
| 鱼或海鲜 | -0.157 | 0.100 | 2.473 | 0.116 | 1.105(0.702~1.040) |
| 肉类 | 0.692 | 0.157 | 19.456 | <0.001 | 1.170(1.470~2.718) |
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