Article(id=1311350241312473231, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1311350193946194882, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202603128, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1773072000000, receivedDateStr=2026-03-10, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790579861237, onlineDateStr=2026-09-28, pubDate=1786291200000, pubDateStr=2026-08-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790579861237, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790579861237, creator=13701087609, updateTime=1790579861237, updator=13701087609, issue=Issue{id=1311350193946194882, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='15', pageStart='2689', pageEnd='2880', issueExtLink='null', onlineDate='null', pubDate='1786291200000', pubDateStr='2026-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790579849945, creator='13701087609', updateTime=1790588319569, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311385718195315029, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1311350193946194882, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311385718195315030, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1311350193946194882, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=2739, endPage=2745, ext={EN=ArticleExt(id=1311350243778723984, articleId=1311350241312473231, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association of the Chinese Healthy Eating Index with musculoskeletal age acceleration in middle-aged and older adults, columnId=1228016572783063333, journalTitle=Modern Preventive Medicine, columnName=Nutrition and Food Hygiene, runingTitle=null, highlight=null, articleAbstract=
Objective This study aims to investigate the impact of dietary quality on musculoskeletal age acceleration(MuscAgeAccel) in middle-aged and older adults, providing a scientific basis for dietary interventions to slow musculoskeletal aging.
Methods A cross-sectional study was conducted involving 3 765 adults aged 45 years and above from the West China Health and Aging Cohort Study and the West China Bone Health Cohort. Diet quality was assessed by calculating the Chinese Healthy Eating Index (CHEI), using a simplified food frequency questionnaire (FFQ-25). MuscAgeAccel was calculated as the difference between musculoskeletal biological age predicted from clinical indicators and chronological age. Multiple linear regression models were used to examine the association between the CHEI and MuscAgeAccel, while adjusting for demographic characteristics, lifestyle factors, and chronic diseases. Subgroup analyses were then conducted.
Results The CHEI score was negatively associated with MuscAgeAccel (rs=-0.09). Compared with participants in the lowest CHEI score group, those in the highest score group exhibited a 0.31-year reduction in MuscAgeAccel (β=-0.31, 95% CI:-0.51~-0.10). Subgroup analyses revealed that the beneficial effect of higher dietary quality on slowing musculoskeletal aging was more pronounced in males, those with body mass index (BMI) > 24 kg/m2, and non-smokers (all P for interaction <0.05).
Conclusion Adherence to the healthy dietary pattern recommended by the Chinese Dietary Guidelines may attenuate musculoskeletal age acceleration and reduce the risk of diseases related to musculoskeletal aging.
, authors=Zi-lan CHEN
1, Mao-yao XIA
1, Yang-dan ZHONG
1, Yu-qi PANG
1, Wen HU
2, Tao ZHANG
1, Lu LONG
1, Meng-yu FAN
1, Jia-yuan LI
1, Xia JIANG
1, authorsList=Zi-lan CHEN, Mao-yao XIA, Yang-dan ZHONG, Yu-qi PANG, Wen HU, Tao ZHANG, Lu LONG, Meng-yu FAN, Jia-yuan LI, Xia JIANG, authorCompany=null, correspAuthors=Xia JIANG, 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=1311350245569691795, articleId=1311350241312473231, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=中国健康饮食指数与中老年人群肌骨生物年龄加速的关联, columnId=1228016573034721597, journalTitle=现代预防医学, columnName=营养与食品卫生, runingTitle=null, highlight=null, articleAbstract=
目的 本研究旨在探讨中老年人群饮食质量对肌骨生物年龄加速的影响，为通过膳食营养策略干预肌骨衰老提供科学依据。
方法 对纳入华西健康增龄队列及华西骨健康队列基线调查数据3 765名45岁及以上中老年人开展横断面研究，采用简化食物频率问卷计算中国健康饮食指数（the Chinese Healthy Eating Index,CHEI）以评估饮食质量。以通过临床指标预测的肌骨生物年龄与实际年龄差值表征肌骨生物年龄加速，控制人口学特征、生活方式、慢性病等潜在混杂因素，采用多元线性回归分析CHEI与肌骨生物年龄加速的关联，并进行亚组分析。
结果 CHEI总分与肌骨生物年龄加速呈负相关（rs=-0.09），与CHEI得分最低组相比，得分最高组肌骨生物年龄加速值降低0.31岁（β=-0.31，95%CI：-0.51 ~ -0.10）。亚组分析显示，在男性、身体质量指数（body mass index,BMI）>24 kg/m2及不吸烟者中，提高膳食质量能更有效延缓肌骨衰老（P交互作用均<0.05）。
结论 遵循中国居民膳食指南的健康饮食模式可减缓肌骨生物年龄加速，降低肌骨衰老相关疾病风险。
, authors=陈子岚
1, 夏茂瑶
1, 钟扬丹
1, 庞玉琦
1, 胡雯
2, 张韬
1, 龙璐
1, 樊萌语
1, 李佳圆
1, 姜侠
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陈子岚（2003—），女，硕士在读，研究方向：营养与食品卫生学
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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=wk7b+EREPCIYvETuIErSlw==, magXml=LrluBZmg9IvHHkTEXOy8zg==, pdfUrl=null, pdf=VIu/DVUGSfhfAYCUUbEM+g==, pdfFileSize=852119, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=7E/6l80D0JkfiapV1uJOWA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=gZWRlIwXTBpujPuADo29Dw==, mapNumber=null, fund=null)}, authors=[Author(id=1311350250464444570, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, 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=1311350251802427548, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, authorId=1311350250464444570, language=EN, stringName=Zi-lan CHEN, firstName=Zi-lan, middleName=null, lastName=CHEN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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29(Suppl 2): s102-s109., articleTitle=Systemic biomarkers of inflammation, oxidative stress and tissue injury and repair among waterpipe, cigarette and dual tobacco smokers, refAbstract=null)], funds=[Fund(id=1311350272258048221, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, awardId=2023YFC3606300, language=CN, fundingSource=国家重点研发计划(2023YFC3606300), fundOrder=null, country=null), Fund(id=1311350272320962782, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, awardId=2024NSFTD0030, language=CN, fundingSource=四川省科技厅自然科学基金创新研究群体(2024NSFTD0030), fundOrder=null, country=null), Fund(id=1311350272388071647, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, awardId=2023SY-03, language=CN, fundingSource=四川大学华西公共卫生学院（华西第四医院）实验学科振兴计划(2023SY-03), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1311350248790917268, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, xref=1., ext=[AuthorCompanyExt(id=1311350248837054613, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, companyId=1311350248790917268, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China), AuthorCompanyExt(id=1311350248874803350, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, companyId=1311350248790917268, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.四川大学华西公共卫生学院/华西第四医院，四川 成都 610041)]), AuthorCompany(id=1311350249667526807, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, xref=2., ext=[AuthorCompanyExt(id=1311350250015654040, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, companyId=1311350249667526807, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
2.四川大学华西医院临床营养科)])], figs=[ArticleFig(id=1311350267652702417, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=EN, label=Figure 1, caption=
The flowchart of participants selection, figureFileSmall=ShHJqUMrCEQNStpGtOw5cA==, figureFileBig=7E/6l80D0JkfiapV1uJOWA==, tableContent=null), ArticleFig(id=1311350267719811282, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=CN, label=图1, caption=
研究对象筛选流程图, figureFileSmall=ShHJqUMrCEQNStpGtOw5cA==, figureFileBig=7E/6l80D0JkfiapV1uJOWA==, tableContent=null), ArticleFig(id=1311350269758243027, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=EN, label=Table 1, caption=
CHEI scoring criteria
, figureFileSmall=null, figureFileBig=null, tableContent=
| 食物组 | 最高分 | 最高分标准 | 最低分标准 |
|---|
| 谷物 | 5 | ≥2.5标准份/1 000 kcal | 无摄入 |
| 全谷物 | 5 | ≥0.6标准份/1 000 kcal | |
| 薯类 | 5 | ≥0.3标准份/1 000 kcal | |
| 蔬菜 | 5 | ≥1.9标准份/1 000 kcal | |
| 深色蔬菜 | 5 | ≥0.9标准份/1 000 kcal | |
| 水果 | 10 | ≥1.1标准份/1 000 kcal | |
| 奶类 | 5 | ≥0.5标准份/1 000 kcal | |
| 豆类 | 5 | ≥0.4标准份/1 000 kcal | |
| 水产类 | 5 | ≥0.6标准份/1 000 kcal | |
| 禽类 | 5 | ≥0.3标准份/1 000 kcal | |
| 蛋类 | 5 | ≥0.5标准份/1 000 kcal | |
| 坚果类 | 5 | ≥0.4标准份/1 000 kcal | |
| 红肉类 | 5 | ≤0.4标准份/1 000 kcal | ≥3.5标准份/1 000 kcal |
| 酒精 | 5 | ≤25 g（男）/15 g（女） | ≥60 g（男）/40 g（女） |
), ArticleFig(id=1311350269816963284, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=CN, label=表1, caption=
CHEI评分标准
, figureFileSmall=null, figureFileBig=null, tableContent=
| 食物组 | 最高分 | 最高分标准 | 最低分标准 |
|---|
| 谷物 | 5 | ≥2.5标准份/1 000 kcal | 无摄入 |
| 全谷物 | 5 | ≥0.6标准份/1 000 kcal | |
| 薯类 | 5 | ≥0.3标准份/1 000 kcal | |
| 蔬菜 | 5 | ≥1.9标准份/1 000 kcal | |
| 深色蔬菜 | 5 | ≥0.9标准份/1 000 kcal | |
| 水果 | 10 | ≥1.1标准份/1 000 kcal | |
| 奶类 | 5 | ≥0.5标准份/1 000 kcal | |
| 豆类 | 5 | ≥0.4标准份/1 000 kcal | |
| 水产类 | 5 | ≥0.6标准份/1 000 kcal | |
| 禽类 | 5 | ≥0.3标准份/1 000 kcal | |
| 蛋类 | 5 | ≥0.5标准份/1 000 kcal | |
| 坚果类 | 5 | ≥0.4标准份/1 000 kcal | |
| 红肉类 | 5 | ≤0.4标准份/1 000 kcal | ≥3.5标准份/1 000 kcal |
| 酒精 | 5 | ≤25 g（男）/15 g（女） | ≥60 g（男）/40 g（女） |
), ArticleFig(id=1311350270160896213, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=EN, label=Table 2, caption=
Baseline characteristics of study participants［ M（ P 25， P75）， n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总人群(n=3 765) | 肌骨生物年龄非加速(n=1 819) | 肌骨生物年龄加速
(n=1 946) | H/χ2值 | P值 |
|---|
| 年龄（岁） | 66.0 (61.0, 70.0) | 67.0 (62.0, 70.0) | 65.0 (60.0, 69.0) | 38.032 | <0.001 |
| 性别 | | | | 64.370 | <0.001 |
| 女性 | 2 538 (67.4) | 1 342 (73.8) | 1 196 (61.5) | | |
| 男性 | 1 227 (32.6) | 477 (26.2) | 750 (38.5) | | |
| 民族 | | | | 0.000 | 1.000 |
| 汉族 | 3 728 (99.0) | 1 801 (99.0) | 1 927 (99.0) | | |
| 其他 | 37 (1.0) | 18 (1.0) | 19 (1.0) | | |
| 最高教育学历 | | | | 12.912 | 0.012 |
| 未正规上学 | 730 (19.4) | 316 (17.4) | 414 (21.3) | | |
| 小学 | 578 (15.4) | 278 (15.3) | 300 (15.4) | | |
| 初中 | 885 (23.5) | 427 (23.5) | 458 (23.5) | | |
| 高中及以上 | 1 562 (41.5) | 795 (43.7) | 767 (39.4) | | |
| 不清楚 | 10 (0.3) | 3 (0.2) | 7 (0.4) | | |
| 婚姻状况 | | | | 9.122 | 0.010 |
| 已婚 | 3 145 (83.5) | 1 488 (81.8) | 1 657 (85.1) | | |
| 其他 | 611 (16.2) | 328 (18.0) | 283 (14.5) | | |
| 不清楚 | 9 (0.2) | 3 (0.2) | 6 (0.3) | | |
| 个人可支配收入 | | | | 3.317 | 0.345 |
| 低收入 | 1 104 (29.3) | 508 (27.9) | 596 (30.6) | | |
| 中等收入 | 1 445 (38.4) | 713 (39.2) | 732 (37.6) | | |
| 高收入 | 1 128 (30.0) | 555 (30.5) | 573 (29.4) | | |
| 不清楚 | 88 (2.3) | 43 (2.4) | 45 (2.3) | | |
| 骨质疏松家族史 | | | | 0.853 | 0.653. |
| 是 | 407 (10.8) | 189 (10.4) | 218 (11.2) | | |
| 否 | 3 199 (85.0) | 1 550 (85.2) | 1 649 (84.7) | | |
| 不清楚 | 159 (4.2) | 80 (4.4) | 79 (4.1) | | |
| 数据来源 | | | | 19.784 | <0.001 |
| 华西骨健康队列 | 1 457 (38.7) | 637 (35.0) | 820 (42.1) | | |
| 华西健康增龄队列 | 2 308 (61.3) | 1 182 (65.0) | 1 126 (57.9) | | |
| 吸烟史 | | | | 44.298 | <0.001 |
| 从不吸烟 | 3 029 (80.5) | 1 542 (84.8) | 1 487 (76.4) | | |
| 曾经吸烟 | 418 (11.1) | 168 (9.2) | 250 (12.8) | | |
| 现在吸烟 | 318 (8.4) | 109 (6.0) | 209 (10.7) | | |
| BMI（kg/m2） | 23.9 (22.1, 26.0) | 23.9 (22.2, 26.1) | 23.9 (22.0, 25.9) | 3.642 | 0.056 |
| 体力活动 | | | | 28.035 | <0.001 |
| 低强度 | 883 (23.5) | 363 (20.0) | 520 (26.7) | | |
| 中等强度 | 1 349 (35.8) | 656 (36.1) | 693 (35.6) | | |
| 高强度 | 1 480 (39.3) | 770 (42.3) | 710 (36.5) | | |
| 不清楚 | 53 (1.4) | 30 (1.6) | 23 (1.2) | | |
| 复合维生素补充剂 | | | | 0.357 | 0.550 |
| 是 | 481 (12.8) | 239 (13.1) | 242 (12.4) | | |
| 否 | 3 284 (87.2) | 1 580 (86.9) | 1 704 (87.6) | | |
| 维生素D补充剂 | | | | 1.793 | 0.181 |
| 是 | 500 (13.3) | 256 (14.1) | 244 (12.5) | | |
| 否 | 3 265 (86.7) | 1 563 (85.9) | 1 702 (87.5) | | |
| 钙补充剂 | | | | 0.344 | 0.853 |
| 是 | 1 469 (39.0) | 713 (39.2) | 756 (38.8) | | |
| 否 | 2 296 (61.0) | 1 106 (60.8) | 1 190 (61.2) | | |
| 糖尿病 | | | | 0.943 | 0.624 |
| 有 | 498 (13.2) | 237 (13.0) | 261 (13.4) | | |
| 无 | 3 258 (86.5) | 1 579 (86.8) | 1 679 (86.3) | | |
| 不清楚 | 9 (0.2) | 3 (0.2) | 6 (0.3) | | |
| 高血压 | | | | 1.669 | 0.434 |
| 有 | 1 241 (33.0) | 592 (32.5) | 649 (33.4) | | |
| 无 | 2 514 (66.8) | 1 224 (67.3) | 1 290 (66.3) | | |
| 不清楚 | 10 (0.3) | 3 (0.2) | 7 (0.4) | | |
), ArticleFig(id=1311350270253170902, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=CN, label=表2, caption=
研究对象的基本特征［M（P25，P75），n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总人群(n=3 765) | 肌骨生物年龄非加速(n=1 819) | 肌骨生物年龄加速
(n=1 946) | H/χ2值 | P值 |
|---|
| 年龄（岁） | 66.0 (61.0, 70.0) | 67.0 (62.0, 70.0) | 65.0 (60.0, 69.0) | 38.032 | <0.001 |
| 性别 | | | | 64.370 | <0.001 |
| 女性 | 2 538 (67.4) | 1 342 (73.8) | 1 196 (61.5) | | |
| 男性 | 1 227 (32.6) | 477 (26.2) | 750 (38.5) | | |
| 民族 | | | | 0.000 | 1.000 |
| 汉族 | 3 728 (99.0) | 1 801 (99.0) | 1 927 (99.0) | | |
| 其他 | 37 (1.0) | 18 (1.0) | 19 (1.0) | | |
| 最高教育学历 | | | | 12.912 | 0.012 |
| 未正规上学 | 730 (19.4) | 316 (17.4) | 414 (21.3) | | |
| 小学 | 578 (15.4) | 278 (15.3) | 300 (15.4) | | |
| 初中 | 885 (23.5) | 427 (23.5) | 458 (23.5) | | |
| 高中及以上 | 1 562 (41.5) | 795 (43.7) | 767 (39.4) | | |
| 不清楚 | 10 (0.3) | 3 (0.2) | 7 (0.4) | | |
| 婚姻状况 | | | | 9.122 | 0.010 |
| 已婚 | 3 145 (83.5) | 1 488 (81.8) | 1 657 (85.1) | | |
| 其他 | 611 (16.2) | 328 (18.0) | 283 (14.5) | | |
| 不清楚 | 9 (0.2) | 3 (0.2) | 6 (0.3) | | |
| 个人可支配收入 | | | | 3.317 | 0.345 |
| 低收入 | 1 104 (29.3) | 508 (27.9) | 596 (30.6) | | |
| 中等收入 | 1 445 (38.4) | 713 (39.2) | 732 (37.6) | | |
| 高收入 | 1 128 (30.0) | 555 (30.5) | 573 (29.4) | | |
| 不清楚 | 88 (2.3) | 43 (2.4) | 45 (2.3) | | |
| 骨质疏松家族史 | | | | 0.853 | 0.653. |
| 是 | 407 (10.8) | 189 (10.4) | 218 (11.2) | | |
| 否 | 3 199 (85.0) | 1 550 (85.2) | 1 649 (84.7) | | |
| 不清楚 | 159 (4.2) | 80 (4.4) | 79 (4.1) | | |
| 数据来源 | | | | 19.784 | <0.001 |
| 华西骨健康队列 | 1 457 (38.7) | 637 (35.0) | 820 (42.1) | | |
| 华西健康增龄队列 | 2 308 (61.3) | 1 182 (65.0) | 1 126 (57.9) | | |
| 吸烟史 | | | | 44.298 | <0.001 |
| 从不吸烟 | 3 029 (80.5) | 1 542 (84.8) | 1 487 (76.4) | | |
| 曾经吸烟 | 418 (11.1) | 168 (9.2) | 250 (12.8) | | |
| 现在吸烟 | 318 (8.4) | 109 (6.0) | 209 (10.7) | | |
| BMI（kg/m2） | 23.9 (22.1, 26.0) | 23.9 (22.2, 26.1) | 23.9 (22.0, 25.9) | 3.642 | 0.056 |
| 体力活动 | | | | 28.035 | <0.001 |
| 低强度 | 883 (23.5) | 363 (20.0) | 520 (26.7) | | |
| 中等强度 | 1 349 (35.8) | 656 (36.1) | 693 (35.6) | | |
| 高强度 | 1 480 (39.3) | 770 (42.3) | 710 (36.5) | | |
| 不清楚 | 53 (1.4) | 30 (1.6) | 23 (1.2) | | |
| 复合维生素补充剂 | | | | 0.357 | 0.550 |
| 是 | 481 (12.8) | 239 (13.1) | 242 (12.4) | | |
| 否 | 3 284 (87.2) | 1 580 (86.9) | 1 704 (87.6) | | |
| 维生素D补充剂 | | | | 1.793 | 0.181 |
| 是 | 500 (13.3) | 256 (14.1) | 244 (12.5) | | |
| 否 | 3 265 (86.7) | 1 563 (85.9) | 1 702 (87.5) | | |
| 钙补充剂 | | | | 0.344 | 0.853 |
| 是 | 1 469 (39.0) | 713 (39.2) | 756 (38.8) | | |
| 否 | 2 296 (61.0) | 1 106 (60.8) | 1 190 (61.2) | | |
| 糖尿病 | | | | 0.943 | 0.624 |
| 有 | 498 (13.2) | 237 (13.0) | 261 (13.4) | | |
| 无 | 3 258 (86.5) | 1 579 (86.8) | 1 679 (86.3) | | |
| 不清楚 | 9 (0.2) | 3 (0.2) | 6 (0.3) | | |
| 高血压 | | | | 1.669 | 0.434 |
| 有 | 1 241 (33.0) | 592 (32.5) | 649 (33.4) | | |
| 无 | 2 514 (66.8) | 1 224 (67.3) | 1 290 (66.3) | | |
| 不清楚 | 10 (0.3) | 3 (0.2) | 7 (0.4) | | |
), ArticleFig(id=1311350270613881047, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=EN, label=Table 3, caption=
Results of correlation analysis of CHEI and different food groups with musculoskeletal age acceleration （rs）
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 肌骨生物年龄加速 |
|---|
| CHEI | -0.09*** |
| 谷物 | 0.05** |
| 全谷物 | -0.04* |
| 薯类 | -0.02 |
| 蔬菜 | -0.05** |
| 深色蔬菜 | -0.07*** |
| 水果 | -0.08*** |
| 奶类 | 0.00 |
| 豆类 | -0.02 |
| 水产类 | -0.07*** |
| 禽类 | 0.02 |
| 蛋类 | 0.00 |
| 坚果类 | -0.07*** |
| 红肉类 | -0.02 |
| 酒精 | -0.02 |
), ArticleFig(id=1311350271008145624, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=CN, label=表3, caption=
CHEI及不同食物组与肌骨生物年龄加速的关联性分析结果（rs）
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 肌骨生物年龄加速 |
|---|
| CHEI | -0.09*** |
| 谷物 | 0.05** |
| 全谷物 | -0.04* |
| 薯类 | -0.02 |
| 蔬菜 | -0.05** |
| 深色蔬菜 | -0.07*** |
| 水果 | -0.08*** |
| 奶类 | 0.00 |
| 豆类 | -0.02 |
| 水产类 | -0.07*** |
| 禽类 | 0.02 |
| 蛋类 | 0.00 |
| 坚果类 | -0.07*** |
| 红肉类 | -0.02 |
| 酒精 | -0.02 |
), ArticleFig(id=1311350271440158937, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=EN, label=Table 4, caption=
Multiple linear regression analysis of CHEI and MuscAgeAccel
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 模型1a | 模型2b | 模型3c |
|---|
| β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 |
|---|
| CHEI总分 | -0.13 (-0.20 ~ -0.06) | 0.001 | -0.10 (-0.17 ~ -0.03) | 0.008 | -0.10 (-0.17 ~ -0.03) | 0.008 |
| Q1 (<42.92) | 参照组 | | 参照组 | | 参照组 | |
| Q2 (42.92-47.50) | -0.21 (-0.40 ~ -0.02) | 0.033 | -0.18 (-0.38 ~ 0.01) | 0.060 | -0.19 (-0.38 ~ 0.00) | 0.052 |
| Q3 (47.50-51.76) | -0.29 (-0.49 ~ -0.10) | 0.003 | -0.25 (-0.44 ~ -0.05) | 0.013 | -0.24 (-0.44 ~ -0.05) | 0.014 |
| Q4 (>51.76) | -0.37 (-0.58 ~ -0.17) | <0.001 | -0.31 (-0.51 ~ -0.10) | 0.003 | -0.31 (-0.51 ~ -0.10) | 0.003 |
| P趋势值 | | <0.001 | | 0.002 | | 0.003 |
), ArticleFig(id=1311350271528239322, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=CN, label=表4, caption=
CHEI与肌骨生物年龄加速的多元线性回归分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 模型1a | 模型2b | 模型3c |
|---|
| β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 |
|---|
| CHEI总分 | -0.13 (-0.20 ~ -0.06) | 0.001 | -0.10 (-0.17 ~ -0.03) | 0.008 | -0.10 (-0.17 ~ -0.03) | 0.008 |
| Q1 (<42.92) | 参照组 | | 参照组 | | 参照组 | |
| Q2 (42.92-47.50) | -0.21 (-0.40 ~ -0.02) | 0.033 | -0.18 (-0.38 ~ 0.01) | 0.060 | -0.19 (-0.38 ~ 0.00) | 0.052 |
| Q3 (47.50-51.76) | -0.29 (-0.49 ~ -0.10) | 0.003 | -0.25 (-0.44 ~ -0.05) | 0.013 | -0.24 (-0.44 ~ -0.05) | 0.014 |
| Q4 (>51.76) | -0.37 (-0.58 ~ -0.17) | <0.001 | -0.31 (-0.51 ~ -0.10) | 0.003 | -0.31 (-0.51 ~ -0.10) | 0.003 |
| P趋势值 | | <0.001 | | 0.002 | | 0.003 |
), ArticleFig(id=1311350271838617819, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=EN, label=Table 5, caption=
Results of subgroup analysis of CHEI and MuscAgeAccel
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 样本量 | β(95%CI) | P值 | P交互作用 |
|---|
| 年龄(岁) | | | | |
| 45 ~ 60 | 656 | -0.12 (-0.28 ~ 0.04) | 0.133 | 0.883 |
| >60 | 3 109 | -0.09 (-0.18 ~ -0.01) | 0.022 | |
| 性别 | | | | |
| 女性 | 2 538 | -0.06 (-0.15 ~ 0.02) | 0.164 | 0.002 |
| 男性 | 1 227 | -0.13 (-0.23 ~ -0.02) | 0.021 | |
| BMI (kg/m2) | | | | |
| ≤ 24 | 1 819 | -0.06 (-0.16 ~ 0.05) | 0.298 | 0.009 |
| >24 | 1 741 | -0.10 (-0.20 ~ 0.01) | 0.070 | |
| 吸烟史 | | | | |
| 从不吸烟 | 3 029 | -0.10 (-0.18 ~ -0.02) | 0.015 | 0.003 |
| 曾经或现在吸烟 | 736 | -0.05 (-0.19 ~ 0.08) | 0.414 | |
| 体力活动 | | | | |
| 低强度 | 883 | -0.07 (-0.22 ~ 0.08) | 0.351 | 0.163 |
| 中高强度 | 2 829 | -0.10 (-0.19 ~ -0.02) | 0.017 | |
| 糖尿病 | | | | |
| 无 | 3 258 | -0.09 (-0.17 ~ -0.01) | 0.025 | 0.800 |
| 有 | 498 | -0.15 (-0.37 ~ 0.07) | 0.177 | |
| 高血压 | | | | |
| 无 | 2 514 | -0.09 (-0.18 ~ -0.01) | 0.040 | 0.711 |
| 有 | 1 241 | -0.11 (-0.25 ~ 0.02) | 0.096 | |
), ArticleFig(id=1311350271922503900, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1311350241312473231, language=CN, label=表5, caption=
CHEI与肌骨生物年龄加速的亚组分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 样本量 | β(95%CI) | P值 | P交互作用 |
|---|
| 年龄(岁) | | | | |
| 45 ~ 60 | 656 | -0.12 (-0.28 ~ 0.04) | 0.133 | 0.883 |
| >60 | 3 109 | -0.09 (-0.18 ~ -0.01) | 0.022 | |
| 性别 | | | | |
| 女性 | 2 538 | -0.06 (-0.15 ~ 0.02) | 0.164 | 0.002 |
| 男性 | 1 227 | -0.13 (-0.23 ~ -0.02) | 0.021 | |
| BMI (kg/m2) | | | | |
| ≤ 24 | 1 819 | -0.06 (-0.16 ~ 0.05) | 0.298 | 0.009 |
| >24 | 1 741 | -0.10 (-0.20 ~ 0.01) | 0.070 | |
| 吸烟史 | | | | |
| 从不吸烟 | 3 029 | -0.10 (-0.18 ~ -0.02) | 0.015 | 0.003 |
| 曾经或现在吸烟 | 736 | -0.05 (-0.19 ~ 0.08) | 0.414 | |
| 体力活动 | | | | |
| 低强度 | 883 | -0.07 (-0.22 ~ 0.08) | 0.351 | 0.163 |
| 中高强度 | 2 829 | -0.10 (-0.19 ~ -0.02) | 0.017 | |
| 糖尿病 | | | | |
| 无 | 3 258 | -0.09 (-0.17 ~ -0.01) | 0.025 | 0.800 |
| 有 | 498 | -0.15 (-0.37 ~ 0.07) | 0.177 | |
| 高血压 | | | | |
| 无 | 2 514 | -0.09 (-0.18 ~ -0.01) | 0.040 | 0.711 |
| 有 | 1 241 | -0.11 (-0.25 ~ 0.02) | 0.096 | |
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