Article(id=1324050924288738174, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050669933572771, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202512083, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1765123200000, receivedDateStr=2025-12-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793607940026, onlineDateStr=2026-11-02, pubDate=1778342400000, pubDateStr=2026-05-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793607940026, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793607940026, creator=13701087609, updateTime=1793607940026, updator=13701087609, issue=Issue{id=1324050669933572771, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='9', pageStart='1537', pageEnd='1728', issueExtLink='null', onlineDate='null', pubDate='1778342400000', pubDateStr='2026-05-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793607879384, creator='13701087609', updateTime=1793670100562, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324311644528050975, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050669933572771, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324311644528050976, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324050669933572771, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1597, endPage=1604, ext={EN=ArticleExt(id=1324050924561367935, articleId=1324050924288738174, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Changes in energy and macronutrient intake among adults aged 35 years and older in Guizhou Province, 1991—2023, columnId=1228016572783063333, journalTitle=Modern Preventive Medicine, columnName=Nutrition and Food Hygiene, runingTitle=null, highlight=null, articleAbstract=
Objective To analyze trends in energy and macronutrient intake among adults aged 35 years and older in Guizhou Province from 1991 to 2023, and examine their associations with demographic characteristics such as gender, urban/rural residence, and age groups, so as to provide scientific evidence for formulating targeted nutrition improvement measures.
Methods This study utilized cross-sectional data from the China Health and Nutrition Survey (CHNS) spanning 1991—2023, focusing on adult residents aged 35 years and older in Guizhou Province. Dietary data were collected using a three-day 24-hour recall method combined with household weighing techniques. Energy and nutrient intakes were calculated based on the Chinese Food Composition Table. To control for changes in age-sex structure over time, data were weighted using direct standardization (with the 2023 age-sex distribution as the standard population). Macronutrient energy contributions were adjusted using the energy residual method. Linear regression models analyzed long-term trends in major food groups and macronutrient energy contribution ratios, estimating annual change values (β) and their 95% confidence intervals (95% CI). Interaction terms were introduced to test for trend differences across urban/rural areas, gender, and age groups. The models were adjusted for education level, smoking history, and drinking history.
Results A total of 8 596 adult residents aged 35 years and older in Guizhou Province were surveyed. Between 1991 and 2023, residents’ intake of vegetable oils and animal-based foods increased, while intake of animal fats and cereals/tubers decreased (P<0.001). The carbohydrate energy contribution decreased from 66.3% to 43.7% (β=-0.644, 95% CI: -0.681~-0.608), while the energy contribution from fats increased from 22.8% to 46.6% (β=0.669, 95% CI: 0.630~0.707). The energy contribution from proteins remained relatively stable (β=-0.024, 95% CI: -0.032~-0.017). Interaction analysis revealed that the rate of increase in fat energy contribution was significantly faster among rural residents than among urban residents (β=0.613, 95% CI: 0.545-0.682). Additionally, rural residents exhibited faster growth in plant oil and animal-based food intake, along with a more pronounced decline in cereal and tuber consumption (all P<0.001). Compared with adults aged 60 years and older, the 35-44 and 45-59 age cohorts exhibited more pronounced trends of increasing fat intake and decreasing carbohydrate intake (P<0.01).
Conclusion From 1991 to 2023, the dietary patterns of adults aged 35 and older in Guizhou Province underwent a rapid shift from a traditional high-carbohydrate model to a high-fat model, with the fat energy contribution ratio far exceeding the upper limit recommended by dietary guidelines. The pace of this transformation exhibited significant population heterogeneity, with rural residents and middle-aged and young adults experiencing more rapid changes. This suggests that future nutrition intervention measures require greater targeting.
, authors=Yan SUN, Hua GUO, Hong-bo LI, Yi-yan-wen HUANG, Sheng-nan WU, Shu ZHU, Yi-ya LIU, authorsList=Yan SUN, Hua GUO, Hong-bo LI, Yi-yan-wen HUANG, Sheng-nan WU, Shu ZHU, Yi-ya LIU, authorCompany=null, correspAuthors=Yi-ya LIU, 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=1324050925630915463, articleId=1324050924288738174, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=1991—2023年贵州省35岁及以上成年人能量和宏量营养素摄入的变迁, columnId=1228016573034721597, journalTitle=现代预防医学, columnName=营养与食品卫生, runingTitle=null, highlight=null, articleAbstract=
目的 分析1991—2023年贵州省35岁及以上成年人能量和宏量营养素摄入的变化趋势,并探讨其与性别、城乡、年龄组等人口学特征的关联,为提出有针对性的营养改善措施提供科学依据。
方法 本研究基于“中国健康与营养调查”1991—2023年横断面数据,选取贵州省35岁及以上成年居民为研究对象。膳食数据采用连续3 d 24 h回顾法结合家庭称重法收集,依据《中国食物成分表》计算能量及营养素摄入量。为控制年龄-性别结构随时间变化的影响,采用直接标准化法(以2023年年龄-性别分布为标准人口)进行加权,采用能量残差法对宏量营养素供能比进行校正。使用线性回归模型分析主要食物类和宏量营养素供能比长期变化趋势,估计年度变化值(β)及其95%置信区间,并通过引入交互项检验城乡、性别、年龄组间的趋势差异,模型调整了教育水平、吸烟史和饮酒史。
结果 共调查8 596名贵州省35岁及以上成年居民,1991—2023年居民植物油与动物性食物摄入量上升,动物油与谷薯类摄入量下降(P<0.001)。碳水化合物供能比从66.3%降至43.7%(β=-0.644,95%CI:-0.681~-0.608),脂肪供能比从22.8%升至46.6%(β= 0.669,95%CI:0.630~0.707),蛋白质供能比相对稳定(β=-0.024,95%CI:-0.032~-0.017)。交互作用分析显示,农村居民脂肪供能比上升速度显著快于城市居民(β=0.613,95%CI:0.545~ 0.682),其植物油、动物性食物摄入量增长更快,谷薯类摄入量下降更明显(P均<0.001);与60岁及以上年龄组相比,35~44岁和45~59岁组的脂肪上升及碳水化合物下降趋势更为显著(P<0.01)。
结论 1991—2023年,贵州省35岁及以上成年居民膳食结构呈现从传统高碳水化合物模式向高脂肪模式的快速转型,且脂肪供能比已远超膳食指南推荐上限。转型速度存在明显人群异质性,农村居民与中青年人群变化更为迅速,提示未来的营养干预措施需更具针对性。
, authors=孙燕, 郭华, 李洪波, 黄伊彦文, 吴胜男, 朱姝, 刘怡娅, authorsList=孙燕, 郭华, 李洪波, 黄伊彦文, 吴胜男, 朱姝, 刘怡娅, authorCompany=null, correspAuthors=刘怡娅, authorNote=
孙燕(1997—),女,硕士,主管医师,研究方向:人群营养与健康
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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=Mbr5DHsKMlvkbT4M1clrDA==, magXml=KJ+CW9lBzGJUkFU7hxUvgQ==, pdfUrl=null, pdf=y7BS6V2CPnGCVeoBGXrICw==, pdfFileSize=948979, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=Lu/QwqYIyjp5LqdZjvUfrg==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=K23WjQXKkAftOzq4xxpFwg==, mapNumber=null, fund=null)}, authors=[Author(id=1324050926025180044, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, 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=1324050927723873166, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, authorId=1324050926025180044, language=EN, stringName=Yan SUN, firstName=Yan, middleName=null, lastName=SUN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou 550004, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1324050927828730767, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, authorId=1324050926025180044, language=CN, stringName=孙燕, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=贵州省疾病预防控制中心,贵州 贵阳 550004, bio={"content":"
孙燕(1997—),女,硕士,主管医师,研究方向:人群营养与健康
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孙燕(1997—),女,硕士,主管医师,研究方向:人群营养与健康
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121(9): 1741-1749.e1., articleTitle=Association between frequency of eating Away-From-Home meals and risk of All-Cause and Cause-Specific mortality, refAbstract=null)], funds=[Fund(id=1324050934204072894, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, awardId=R01- HD30880; DK056350; R01-HD38700, language=CN, fundingSource=中国健康与营养调查项目(R01- HD30880; DK056350; R01-HD38700), fundOrder=null, country=null), Fund(id=1324050934292153279, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, awardId=null, language=CN, fundingSource=贵州省卫生健康委省级重点建设学科项目, fundOrder=null, country=null), Fund(id=1324050934363456448, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, awardId=null, language=CN, fundingSource=西南地区重点优势学科项目, fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324050925886768008, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, xref=null, ext=[AuthorCompanyExt(id=1324050925895156617, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, companyId=1324050925886768008, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou 550004, China), AuthorCompanyExt(id=1324050925907739530, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, companyId=1324050925886768008, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=贵州省疾病预防控制中心,贵州 贵阳 550004)])], figs=[ArticleFig(id=1324050932408910774, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=EN, label=Figure 1, caption=
Trends in energy supply ratios of the three major macronutrients over time for residents aged 35 years and above in Guizhou Province, 1991—2023, figureFileSmall=zrk/7XNqVo9xjvSGgjt8bg==, figureFileBig=Lu/QwqYIyjp5LqdZjvUfrg==, tableContent=null), ArticleFig(id=1324050932748649399, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=CN, label=图1, caption=
1991—2023年贵州省35岁及以上居民三大宏量营养素供能比随时间的变化趋势, figureFileSmall=zrk/7XNqVo9xjvSGgjt8bg==, figureFileBig=Lu/QwqYIyjp5LqdZjvUfrg==, tableContent=null), ArticleFig(id=1324050933587510200, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=EN, label=Table 1, caption=
Annual change rates in intake of major food categories among adult residents in Guizhou Province, 1991—2023 [M(P25,P75), g/d]
, figureFileSmall=null, figureFileBig=null, tableContent=
| 食物类别 | 1991年 | 1993年 | 1997年 | 2000年 | 2004年 | 2006年 | 2009年 | 2011年 | 2015年 | 2018年 | 2023年 | β(95%CI) | P趋势值 |
|---|
| 谷薯类 | 100.0 (25.0,211.5) | 100.0 (50.0,216.7) | 125.0 (66.7,200.0) | 115.4 (62.5,200.0) | 133.3 (83.3,208.3) | 128.3 (80.0,200.0) | 106.7 (66.7,180.0) | 116.7 (66.7,170.0) | 120.0 (66.7,181.9) | 120.4 (73.3,190.0) | 116.7 (70.0,176.7) | -1.975 (-2.406~-1.543) | <0.001 |
| 豆类 | 18.7 (0.0,38.8) | 17.4 (0.0,46.2) | 24.0 (5.8,53.7) | 13.9 (0.0,30.8) | 19.2 (0.0,44.4) | 13.9 (0.0,30.8) | 16.9 (6.8,37.5) | 15.4 (6.2,33.3) | 16.9 (4.2,33.7) | 13.1 (2.1,31.5) | 6.2 (0.0,16.5) | -0.485 (-0.558~-0.411) | <0.001 |
| 动物性食物 | 62.5 (0.0,116.7) | 52.7 (0.0,125.0) | 58.3 (0.0,116.4) | 66.8 (0.0,145.8) | 63.3 (0.0,133.3) | 83.3 (26.7,150.0) | 90.0 (40.0,160.0) | 94.2 (40.0,150.0) | 106.7 (59.3,175.0) | 113.3 (56.7,175.2) | 113.6 (66.7,186.7) | 2.226 (2.013~2.439) | <0.001 |
| 蔬果类 | 316.7 (225.0,437.5) | 350.0 (250.0,500.0) | 316.7 (210.8,416.7) | 341.7 (250.0,510.4) | 350.0 (243.3,504.2) | 360.0 (250.0,466.7) | 351.9 (250.0,466.7) | 350.0 (240.8,490.8) | 275.0 (180.0,393.3) | 253.3 (174.2,371.2) | 210.0 (119.4,313.3) | -3.176 (-3.609~-2.743) | <0.001 |
| 植物油 | 0.0 (0.0,16.9) | 0.0 (0.0,25.4) | 4.1 (0.0,24.0) | 3.7 (0.0,26.6) | 18.3 (0.0,33.7) | 11.6 (0.0,32.5) | 8.5 (0.0,25.1) | 19.8 (3.6,36.5) | 18.2 (5.0,31.5) | 15.3 (2.6,30.0) | 17.8 (4.7,38.7) | 0.558 (0.484~0.631) | <0.001 |
| 动物油 | 20.5 (9.8,32.0) | 11.1 (0.0,25.7) | 19.1 (7.4,31.3) | 20.3 (8.9,36.0) | 18.9 (4.8,30.0) | 22.1 (11.2,33.4) | 19.6 (7.3,30.0) | 13.4 (0.6,26.0) | 8.9 (0.0,20.5) | 6.9 (0.0,20.6) | 8.9 (0.0,22.0) | -0.213 (-0.271~-0.154) | <0.001 |
), ArticleFig(id=1324050933675590585, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=CN, label=表1, caption=
1991—2023年贵州省成年居民主要食物类别摄入量年度变化率[M(P25,P75), g/d]
, figureFileSmall=null, figureFileBig=null, tableContent=
| 食物类别 | 1991年 | 1993年 | 1997年 | 2000年 | 2004年 | 2006年 | 2009年 | 2011年 | 2015年 | 2018年 | 2023年 | β(95%CI) | P趋势值 |
|---|
| 谷薯类 | 100.0 (25.0,211.5) | 100.0 (50.0,216.7) | 125.0 (66.7,200.0) | 115.4 (62.5,200.0) | 133.3 (83.3,208.3) | 128.3 (80.0,200.0) | 106.7 (66.7,180.0) | 116.7 (66.7,170.0) | 120.0 (66.7,181.9) | 120.4 (73.3,190.0) | 116.7 (70.0,176.7) | -1.975 (-2.406~-1.543) | <0.001 |
| 豆类 | 18.7 (0.0,38.8) | 17.4 (0.0,46.2) | 24.0 (5.8,53.7) | 13.9 (0.0,30.8) | 19.2 (0.0,44.4) | 13.9 (0.0,30.8) | 16.9 (6.8,37.5) | 15.4 (6.2,33.3) | 16.9 (4.2,33.7) | 13.1 (2.1,31.5) | 6.2 (0.0,16.5) | -0.485 (-0.558~-0.411) | <0.001 |
| 动物性食物 | 62.5 (0.0,116.7) | 52.7 (0.0,125.0) | 58.3 (0.0,116.4) | 66.8 (0.0,145.8) | 63.3 (0.0,133.3) | 83.3 (26.7,150.0) | 90.0 (40.0,160.0) | 94.2 (40.0,150.0) | 106.7 (59.3,175.0) | 113.3 (56.7,175.2) | 113.6 (66.7,186.7) | 2.226 (2.013~2.439) | <0.001 |
| 蔬果类 | 316.7 (225.0,437.5) | 350.0 (250.0,500.0) | 316.7 (210.8,416.7) | 341.7 (250.0,510.4) | 350.0 (243.3,504.2) | 360.0 (250.0,466.7) | 351.9 (250.0,466.7) | 350.0 (240.8,490.8) | 275.0 (180.0,393.3) | 253.3 (174.2,371.2) | 210.0 (119.4,313.3) | -3.176 (-3.609~-2.743) | <0.001 |
| 植物油 | 0.0 (0.0,16.9) | 0.0 (0.0,25.4) | 4.1 (0.0,24.0) | 3.7 (0.0,26.6) | 18.3 (0.0,33.7) | 11.6 (0.0,32.5) | 8.5 (0.0,25.1) | 19.8 (3.6,36.5) | 18.2 (5.0,31.5) | 15.3 (2.6,30.0) | 17.8 (4.7,38.7) | 0.558 (0.484~0.631) | <0.001 |
| 动物油 | 20.5 (9.8,32.0) | 11.1 (0.0,25.7) | 19.1 (7.4,31.3) | 20.3 (8.9,36.0) | 18.9 (4.8,30.0) | 22.1 (11.2,33.4) | 19.6 (7.3,30.0) | 13.4 (0.6,26.0) | 8.9 (0.0,20.5) | 6.9 (0.0,20.6) | 8.9 (0.0,22.0) | -0.213 (-0.271~-0.154) | <0.001 |
), ArticleFig(id=1324050933788836794, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=EN, label=Table 2, caption=
Macronutrient energy contribution ratios among adult residents in Guizhou Province, 1991—2023(
)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 类别 | 1991年 | 1993年 | 1997年 | 2000年 | 2004年 | 2006年 | 2009年 | 2011年 | 2015年 | 2018年 | 2023年 | β(95%CI) | P趋势值 |
|---|
| 蛋白质供能比(%) | | | | | | | | | | | | | |
| 性别 | | | | | | | | | | | | | |
| 男 | 11.0±2.7 | 10.9±2.3 | 10.2±2.7 | 9.9±2.7 | 9.9±3.3 | 9.4±2.6 | 10.6±2.6 | 9.9±2.5 | 10.7±3.1 | 10.5±2.8 | 9.9±3.7 | -0.018(-0.029~-0.008) | <0.001 |
| 女 | 10.7±2.6 | 10.8±2.5 | 9.8±2.6 | 9.5±3.2 | 9.5±3.2 | 9.2±2.4 | 10.2±2.8 | 9.6±2.7 | 10.2±3.1 | 10.2±2.9 | 9.5±3.5 | -0.030(-0.040~-0.020) | <0.001 |
| 城乡 | | | | | | | | | | | | | |
| 城市 | 10.9±2.3 | 10.9±2.2 | 10.4±2.6 | 10.6±2.8 | 10.6±3.3 | 9.8±2.4 | 11.1±2.5 | 9.8±2.9 | 10.9±2.9 | 10.9±2.2 | 10.4±3.9 | -0.019(-0.032~-0.006) | 0.005 |
| 农村 | 10.8±2.9 | 10.8±2.5 | 9.7±2.7 | 9.2±3.0 | 9.2±3.1 | 9.0±2.5 | 10.1±2.8 | 9.7±2.5 | 10.2±3.1 | 10.0±3.1 | 9.4±3.4 | -0.018(-0.027~-0.009) | <0.001 |
| 年龄组(岁) | | | | | | | | | | | | | |
| 35~44 | 10.9±3.1 | 11.2±2.4 | 10.3±3.1 | 10.2±3.6 | 9.7±3.2 | 9.5±2.8 | 10.7±3.0 | 9.9±2.4 | 10.8±3.3 | 10.3±3.2 | 9.5±3.7 | -0.036(-0.053~-0.018) | <0.001 |
| 45~59 | 10.9±2.5 | 10.8±2.4 | 9.7±2.4 | 9.7±3.0 | 9.7±3.5 | 9.3±2.6 | 10.8±2.8 | 10.0±3.0 | 10.7±3.2 | 10.7±2.8 | 9.8±3.6 | -0.014(-0.025~-0.002) | 0.021 |
| ≥60 | 10.6±2.2 | 10.5±2.3 | 10.1±2.6 | 9.5±2.6 | 9.6±3.0 | 9.0±2.2 | 9.9±2.5 | 9.3±2.4 | 10.1±2.8 | 10.1±2.8 | 9.5±3.5 | -0.028(-0.040~-0.017) | <0.001 |
| 合计 | 10.8±2.7 | 10.8±2.4 | 10.0±2.7 | 9.7±3.0 | 9.7±3.3 | 9.3±2.5 | 10.4±2.7 | 9.7±2.7 | 10.4±3.1 | 10.3±2.9 | 9.7±3.6 | -0.024(-0.032~-0.017) | <0.001 |
| 脂肪供能比(%) | | | | | | | | | | | | | |
| 性别 | | | | | | | | | | | | | |
| 男 | 23.6±14.6 | 25.0±15.9 | 25.3±15.7 | 31.0±15.0 | 30.0±15.5 | 32.9±17.2 | 34.3±10.5 | 39.0±12.2 | 40.7±11.6 | 41.8±14.8 | 46.2±15.4 | 0.649(0.595~0.703) | <0.001 |
| 女 | 22.1±14.2 | 22.4±15.6 | 25.2±15.5 | 31.6±15.7 | 31.1±16.2 | 33.9±17.8 | 35.4±12.0 | 39.8±12.9 | 41.5±11.9 | 41.9±15.4 | 46.9±17.2 | 0.691(0.637~0.744) | <0.001 |
| 城乡 | | | | | | | | | | | | | |
| 城市 | 32.9±10.5 | 36.2±12.3 | 36.2±10.9 | 40.7±11.8 | 37.4±13.2 | 41.2±15.9 | 40.0±10.3 | 43.5±12.5 | 43.1±12.2 | 41.9±11.0 | 46.3±13.5 | 0.303(0.248~0.358) | <0.001 |
| 农村 | 17.6±13.3 | 17.9±13.7 | 20.1±14.8 | 26.6±14.8 | 27.5±16.0 | 29.7±17.1 | 32.5±10.9 | 37.4±12.1 | 40.2±11.5 | 41.8±16.7 | 46.7±17.4 | 0.948(0.902~0.995) | <0.001 |
| 年龄组(岁) | | | | | | | | | | | | | |
| 35~44 | 21.8±14.4 | 21.6±15.8 | 22.6±17.2 | 32.3±18.8 | 29.1±15.3 | 31.6±17.1 | 34.5±12.2 | 40.1±13.5 | 40.8±12.6 | 42.4±16.3 | 46.8±17.7 | 0.729(0.642~0.815) | <0.001 |
| 45~59 | 21.6±15.2 | 22.3±15.4 | 24.8±16.3 | 30.4±15.3 | 31.1±16.9 | 33.5±19.0 | 34.8±11.5 | 39.0±12.4 | 42.3±12.2 | 42.3±13.8 | 47.5±16.9 | 0.715(0.653~0.777) | <0.001 |
| ≥60 | 26.3±12.4 | 27.3±15.6 | 28.4±12.2 | 32.0±13.4 | 31.0±14.8 | 34.5±16.3 | 35.0±10.8 | 39.3±12.2 | 40.6±11.1 | 41.4±15.5 | 45.5±15.3 | 0.568(0.510~0.626) | <0.001 |
| 合计 | 22.8±14.4 | 23.6±15.8 | 25.3±15.6 | 31.3±15.4 | 30.6±15.8 | 33.5±17.5 | 34.9±11.3 | 39.4±12.6 | 41.1±11.8 | 41.8±15.1 | 46.6±16.4 | 0.669(0.630~0.707) | <0.001 |
| 碳水化合物供能比(%) | | | | | | | | | | | | | |
| 性别 | | | | | | | | | | | | | |
| 男 | 65.4±14.7 | 64.2±15.4 | 64.5±15.9 | 59.1±15.4 | 60.1±15.4 | 57.7±16.8 | 55.1±10.6 | 51.1±11.6 | 48.7±11.4 | 47.8±13.9 | 43.9±14.1 | -0.631(-0.683~-0.578) | <0.001 |
| 女 | 67.2±14.3 | 66.8±15.2 | 65.0±15.4 | 58.9±15.6 | 59.4±15.9 | 56.9±17.5 | 54.4±11.8 | 50.6±11.9 | 48.3±11.3 | 47.9±14.2 | 43.6±15.6 | -0.661(-0.712~-0.610) | <0.001 |
| 城乡 | | | | | | | | | | | | | |
| 城市 | 56.1±10.3 | 52.9±11.9 | 53.4±10.9 | 48.7±11.3 | 51.9±13.0 | 49.0±15.0 | 48.9±10.4 | 46.7±11.2 | 46.1±11.8 | 47.2±10.6 | 43.3±12.5 | -0.284(-0.336~-0.231) | <0.001 |
| 农村 | 71.6±13.5 | 71.3±13.0 | 70.2±14.5 | 64.1±14.7 | 63.3±15.5 | 61.2±16.8 | 57.5±10.6 | 52.9±11.5 | 49.5±11.0 | 48.1±15.4 | 43.9±15.8 | -0.930(-0.974~-0.886) | <0.001 |
| 年龄组(岁) | | | | | | | | | | | | | |
| 35~44 | 67.3±14.4 | 67.2±15.5 | 67.1±17.3 | 57.6±18.2 | 61.2±14.5 | 58.9±16.5 | 54.7±11.9 | 49.9±12.8 | 48.5±11.8 | 47.3±14.7 | 43.7±15.7 | -0.693(-0.774~-0.613) | <0.001 |
| 45~59 | 67.5±15.5 | 66.9±15.0 | 65.6±16.2 | 59.9±15.6 | 59.2±17.1 | 57.2±18.6 | 54.4±11.6 | 50.9±11.4 | 47.0±12.0 | 47.0±13.2 | 42.7±15.6 | -0.701(-0.761~-0.641) | <0.001 |
| ≥60 | 63.1±12.4 | 62.2±15.0 | 61.4±12.1 | 58.6±13.7 | 59.5±14.6 | 56.4±16.1 | 55.0±10.8 | 51.4±11.4 | 49.4±10.7 | 48.6±14.4 | 44.9±13.8 | -0.539(-0.595~-0.484) | <0.001 |
| 合计 | 66.3±14.5 | 65.6±15.3 | 64.8±15.6 | 59.0±15.5 | 59.7±15.7 | 57.3±17.2 | 54.8±11.2 | 50.9±11.8 | 48.5±11.4 | 47.8±14.1 | 43.7±15.0 | -0.644(-0.681~-0.608) | <0.001 |
), ArticleFig(id=1324050933927248827, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=CN, label=表2, caption=
1991—2023年贵州省成年居民宏量营养素供能比状况(
)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 类别 | 1991年 | 1993年 | 1997年 | 2000年 | 2004年 | 2006年 | 2009年 | 2011年 | 2015年 | 2018年 | 2023年 | β(95%CI) | P趋势值 |
|---|
| 蛋白质供能比(%) | | | | | | | | | | | | | |
| 性别 | | | | | | | | | | | | | |
| 男 | 11.0±2.7 | 10.9±2.3 | 10.2±2.7 | 9.9±2.7 | 9.9±3.3 | 9.4±2.6 | 10.6±2.6 | 9.9±2.5 | 10.7±3.1 | 10.5±2.8 | 9.9±3.7 | -0.018(-0.029~-0.008) | <0.001 |
| 女 | 10.7±2.6 | 10.8±2.5 | 9.8±2.6 | 9.5±3.2 | 9.5±3.2 | 9.2±2.4 | 10.2±2.8 | 9.6±2.7 | 10.2±3.1 | 10.2±2.9 | 9.5±3.5 | -0.030(-0.040~-0.020) | <0.001 |
| 城乡 | | | | | | | | | | | | | |
| 城市 | 10.9±2.3 | 10.9±2.2 | 10.4±2.6 | 10.6±2.8 | 10.6±3.3 | 9.8±2.4 | 11.1±2.5 | 9.8±2.9 | 10.9±2.9 | 10.9±2.2 | 10.4±3.9 | -0.019(-0.032~-0.006) | 0.005 |
| 农村 | 10.8±2.9 | 10.8±2.5 | 9.7±2.7 | 9.2±3.0 | 9.2±3.1 | 9.0±2.5 | 10.1±2.8 | 9.7±2.5 | 10.2±3.1 | 10.0±3.1 | 9.4±3.4 | -0.018(-0.027~-0.009) | <0.001 |
| 年龄组(岁) | | | | | | | | | | | | | |
| 35~44 | 10.9±3.1 | 11.2±2.4 | 10.3±3.1 | 10.2±3.6 | 9.7±3.2 | 9.5±2.8 | 10.7±3.0 | 9.9±2.4 | 10.8±3.3 | 10.3±3.2 | 9.5±3.7 | -0.036(-0.053~-0.018) | <0.001 |
| 45~59 | 10.9±2.5 | 10.8±2.4 | 9.7±2.4 | 9.7±3.0 | 9.7±3.5 | 9.3±2.6 | 10.8±2.8 | 10.0±3.0 | 10.7±3.2 | 10.7±2.8 | 9.8±3.6 | -0.014(-0.025~-0.002) | 0.021 |
| ≥60 | 10.6±2.2 | 10.5±2.3 | 10.1±2.6 | 9.5±2.6 | 9.6±3.0 | 9.0±2.2 | 9.9±2.5 | 9.3±2.4 | 10.1±2.8 | 10.1±2.8 | 9.5±3.5 | -0.028(-0.040~-0.017) | <0.001 |
| 合计 | 10.8±2.7 | 10.8±2.4 | 10.0±2.7 | 9.7±3.0 | 9.7±3.3 | 9.3±2.5 | 10.4±2.7 | 9.7±2.7 | 10.4±3.1 | 10.3±2.9 | 9.7±3.6 | -0.024(-0.032~-0.017) | <0.001 |
| 脂肪供能比(%) | | | | | | | | | | | | | |
| 性别 | | | | | | | | | | | | | |
| 男 | 23.6±14.6 | 25.0±15.9 | 25.3±15.7 | 31.0±15.0 | 30.0±15.5 | 32.9±17.2 | 34.3±10.5 | 39.0±12.2 | 40.7±11.6 | 41.8±14.8 | 46.2±15.4 | 0.649(0.595~0.703) | <0.001 |
| 女 | 22.1±14.2 | 22.4±15.6 | 25.2±15.5 | 31.6±15.7 | 31.1±16.2 | 33.9±17.8 | 35.4±12.0 | 39.8±12.9 | 41.5±11.9 | 41.9±15.4 | 46.9±17.2 | 0.691(0.637~0.744) | <0.001 |
| 城乡 | | | | | | | | | | | | | |
| 城市 | 32.9±10.5 | 36.2±12.3 | 36.2±10.9 | 40.7±11.8 | 37.4±13.2 | 41.2±15.9 | 40.0±10.3 | 43.5±12.5 | 43.1±12.2 | 41.9±11.0 | 46.3±13.5 | 0.303(0.248~0.358) | <0.001 |
| 农村 | 17.6±13.3 | 17.9±13.7 | 20.1±14.8 | 26.6±14.8 | 27.5±16.0 | 29.7±17.1 | 32.5±10.9 | 37.4±12.1 | 40.2±11.5 | 41.8±16.7 | 46.7±17.4 | 0.948(0.902~0.995) | <0.001 |
| 年龄组(岁) | | | | | | | | | | | | | |
| 35~44 | 21.8±14.4 | 21.6±15.8 | 22.6±17.2 | 32.3±18.8 | 29.1±15.3 | 31.6±17.1 | 34.5±12.2 | 40.1±13.5 | 40.8±12.6 | 42.4±16.3 | 46.8±17.7 | 0.729(0.642~0.815) | <0.001 |
| 45~59 | 21.6±15.2 | 22.3±15.4 | 24.8±16.3 | 30.4±15.3 | 31.1±16.9 | 33.5±19.0 | 34.8±11.5 | 39.0±12.4 | 42.3±12.2 | 42.3±13.8 | 47.5±16.9 | 0.715(0.653~0.777) | <0.001 |
| ≥60 | 26.3±12.4 | 27.3±15.6 | 28.4±12.2 | 32.0±13.4 | 31.0±14.8 | 34.5±16.3 | 35.0±10.8 | 39.3±12.2 | 40.6±11.1 | 41.4±15.5 | 45.5±15.3 | 0.568(0.510~0.626) | <0.001 |
| 合计 | 22.8±14.4 | 23.6±15.8 | 25.3±15.6 | 31.3±15.4 | 30.6±15.8 | 33.5±17.5 | 34.9±11.3 | 39.4±12.6 | 41.1±11.8 | 41.8±15.1 | 46.6±16.4 | 0.669(0.630~0.707) | <0.001 |
| 碳水化合物供能比(%) | | | | | | | | | | | | | |
| 性别 | | | | | | | | | | | | | |
| 男 | 65.4±14.7 | 64.2±15.4 | 64.5±15.9 | 59.1±15.4 | 60.1±15.4 | 57.7±16.8 | 55.1±10.6 | 51.1±11.6 | 48.7±11.4 | 47.8±13.9 | 43.9±14.1 | -0.631(-0.683~-0.578) | <0.001 |
| 女 | 67.2±14.3 | 66.8±15.2 | 65.0±15.4 | 58.9±15.6 | 59.4±15.9 | 56.9±17.5 | 54.4±11.8 | 50.6±11.9 | 48.3±11.3 | 47.9±14.2 | 43.6±15.6 | -0.661(-0.712~-0.610) | <0.001 |
| 城乡 | | | | | | | | | | | | | |
| 城市 | 56.1±10.3 | 52.9±11.9 | 53.4±10.9 | 48.7±11.3 | 51.9±13.0 | 49.0±15.0 | 48.9±10.4 | 46.7±11.2 | 46.1±11.8 | 47.2±10.6 | 43.3±12.5 | -0.284(-0.336~-0.231) | <0.001 |
| 农村 | 71.6±13.5 | 71.3±13.0 | 70.2±14.5 | 64.1±14.7 | 63.3±15.5 | 61.2±16.8 | 57.5±10.6 | 52.9±11.5 | 49.5±11.0 | 48.1±15.4 | 43.9±15.8 | -0.930(-0.974~-0.886) | <0.001 |
| 年龄组(岁) | | | | | | | | | | | | | |
| 35~44 | 67.3±14.4 | 67.2±15.5 | 67.1±17.3 | 57.6±18.2 | 61.2±14.5 | 58.9±16.5 | 54.7±11.9 | 49.9±12.8 | 48.5±11.8 | 47.3±14.7 | 43.7±15.7 | -0.693(-0.774~-0.613) | <0.001 |
| 45~59 | 67.5±15.5 | 66.9±15.0 | 65.6±16.2 | 59.9±15.6 | 59.2±17.1 | 57.2±18.6 | 54.4±11.6 | 50.9±11.4 | 47.0±12.0 | 47.0±13.2 | 42.7±15.6 | -0.701(-0.761~-0.641) | <0.001 |
| ≥60 | 63.1±12.4 | 62.2±15.0 | 61.4±12.1 | 58.6±13.7 | 59.5±14.6 | 56.4±16.1 | 55.0±10.8 | 51.4±11.4 | 49.4±10.7 | 48.6±14.4 | 44.9±13.8 | -0.539(-0.595~-0.484) | <0.001 |
| 合计 | 66.3±14.5 | 65.6±15.3 | 64.8±15.6 | 59.0±15.5 | 59.7±15.7 | 57.3±17.2 | 54.8±11.2 | 50.9±11.8 | 48.5±11.4 | 47.8±14.1 | 43.7±15.0 | -0.644(-0.681~-0.608) | <0.001 |
), ArticleFig(id=1324050934019523516, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=EN, label=Table 3, caption=
Analysis of macronutrient energy contribution ratios and food group interactions among adults aged 35 years and older in Guizhou Province, 1991—2023
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 蛋白质供能比 | 脂肪供能比 | 碳水化合物供能比 | 植物油摄入量 | 动物油摄入量 | 谷薯类摄入量 | 动物性食物摄入量 |
|---|
| β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 |
|---|
| 农村(ref:城市)×年份 | -0.008 (-0.023~0.006) | 0.237 | 0.613 (0.545~0.682) | <0.001 | -0.605 (-0.671~-0.539) | <0.001 | 0.434 (0.289~0.578) | <0.001 | 0.295 (0.182~0.409) | <0.001 | -3.868 (-4.622~-3.114) | <0.001 | 2.223 (1.789~2.657) | <0.001 |
| 男性(ref:女性)×年份 | 0.008 (-0.005~0.021) | 0.248 | -0.049 (-0.113~0.014) | 0.123 | 0.042 (-0.019~0.103) | 0.175 | 0.052 (-0.082~0.187) | 0.438 | -0.052 (-0.158~0.054) | 0.329 | -0.256 (-0.956~0.445) | 0.469 | 0.614 (0.211~1.018) | 0.003 |
| 年龄组(ref:≥60岁)×年份 | | | | | | | | | | | | | | |
| 35~44岁 | -0.018 (-0.035~-0.001) | 0.038 | 0.145 (0.061~0.228) | <0.001 | -0.127 (-0.206~-0.047) | 0.002 | 0.245 (0.069~0.421) | 0.006 | -0.141 (-0.279~-0.003) | 0.043 | -1.222 (-2.139~-0.305) | 0.008 | -0.062 (-0.590~0.467) | 0.817 |
| 45~59岁 | 0.004 (-0.012~0.019) | 0.635 | 0.110 (0.036~0.184) | 0.003 | -0.114 (-0.185~-0.043) | 0.001 | 0.047 (-0.109~0.203) | 0.552 | -0.036 (-0.159~0.087) | 0.561 | -0.852 (-1.666~-0.038) | 0.038 | 0.448 (-0.020~0.917) | 0.058 |
), ArticleFig(id=1324050934099215293, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324050924288738174, language=CN, label=表3, caption=
1991—2023年贵州省35岁及以上成年居民宏量营养素供能比和主要食物类交互作用分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 蛋白质供能比 | 脂肪供能比 | 碳水化合物供能比 | 植物油摄入量 | 动物油摄入量 | 谷薯类摄入量 | 动物性食物摄入量 |
|---|
| β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 | β(95%CI) | P值 |
|---|
| 农村(ref:城市)×年份 | -0.008 (-0.023~0.006) | 0.237 | 0.613 (0.545~0.682) | <0.001 | -0.605 (-0.671~-0.539) | <0.001 | 0.434 (0.289~0.578) | <0.001 | 0.295 (0.182~0.409) | <0.001 | -3.868 (-4.622~-3.114) | <0.001 | 2.223 (1.789~2.657) | <0.001 |
| 男性(ref:女性)×年份 | 0.008 (-0.005~0.021) | 0.248 | -0.049 (-0.113~0.014) | 0.123 | 0.042 (-0.019~0.103) | 0.175 | 0.052 (-0.082~0.187) | 0.438 | -0.052 (-0.158~0.054) | 0.329 | -0.256 (-0.956~0.445) | 0.469 | 0.614 (0.211~1.018) | 0.003 |
| 年龄组(ref:≥60岁)×年份 | | | | | | | | | | | | | | |
| 35~44岁 | -0.018 (-0.035~-0.001) | 0.038 | 0.145 (0.061~0.228) | <0.001 | -0.127 (-0.206~-0.047) | 0.002 | 0.245 (0.069~0.421) | 0.006 | -0.141 (-0.279~-0.003) | 0.043 | -1.222 (-2.139~-0.305) | 0.008 | -0.062 (-0.590~0.467) | 0.817 |
| 45~59岁 | 0.004 (-0.012~0.019) | 0.635 | 0.110 (0.036~0.184) | 0.003 | -0.114 (-0.185~-0.043) | 0.001 | 0.047 (-0.109~0.203) | 0.552 | -0.036 (-0.159~0.087) | 0.561 | -0.852 (-1.666~-0.038) | 0.038 | 0.448 (-0.020~0.917) | 0.058 |
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