Article(id=1325521045364551813, tenantId=1146029695717560320, journalId=1256213402557890569, issueId=1325521023759691810, articleNumber=null, orderNo=null, doi=10.16835/j.cnki.1000-9817.2025194, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744214400000, receivedDateStr=2025-04-10, revisedDate=1748448000000, revisedDateStr=2025-05-29, acceptedDate=null, acceptedDateStr=null, onlineDate=1793958444205, onlineDateStr=2026-11-06, pubDate=1753372800000, pubDateStr=2025-07-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793958444205, onlineIssueDateStr=2026-11-06, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793958444205, creator=13701087609, updateTime=1793958444205, updator=13701087609, issue=Issue{id=1325521023759691810, tenantId=1146029695717560320, journalId=1256213402557890569, year='2025', volume='46', issue='7', pageStart='913', pageEnd='1064', issueExtLink='null', onlineDate='null', pubDate='1753372800000', pubDateStr='2025-07-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793958439054, creator='13701087609', updateTime=1793958439054, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=950, endPage=955, ext={EN=ArticleExt(id=1325521045653958790, articleId=1325521045364551813, tenantId=1146029695717560320, journalId=1256213402557890569, language=EN, title=Assoication between 24-hour activity time allocation and active health levels among college students in Yinchuan City, columnId=1259565859148804482, journalTitle=Chinese Journal of School Health, columnName=Health Education and Promotion, runingTitle=null, highlight=null, articleAbstract=
Objective

To explore the potential classification of 24-hour activity time allocation among college students in Yinchuan and its association with active health levels, so as to provide references for optimizing activity time allocation to enhance active health levels.

Methods

From November 18 to December 6, 2024, a stratified cluster random sampling method was used to select 2 422 first- and second-year college students from full-time undergraduate institutions in Yinchuan. The Chinese College Students' 24-hour Movement Behaviors Questionnaire (24 h MBQ) and Active Health Behavior Scale were used to assess 24-hour activity time allocation and evaluate active health levels. Latent profile analysis (LPA) was employed to categorize activity types, and a binary Logistic regression analysis was conducted to analyze the relationship between active health levels and activity types.

Results

A total of 1 087 students (44.9%) were found of meeting active health standards, and significant statistical differences were found in active health levels across different genders, grades, academic qualities, sources of origin and academic categories (χ2=22.03, 7.65, 25.50, 10.12, 43.44, all P < 0.01). Moreover, significant statistical differences could also be found among college students' 24-hour activity time across different genders, ages, grades, sources of origin, academic qualities, and academic categories (t/Z/H/F=-5.70-111.39, P < 0.05).The 24-hour activity time allocation was classified into four types: academic high (6.9%), low activity rest (8.8%), light activity (67.8%), and high activity dynamic (16.4%). Significant statistical differences were observed in activity time allocation categories across different ages, academic qualities and academic categories (χ2=15.52-108.46, all P < 0.05). Using the high activity dynamic type as a reference, the light activity type (OR=0.39, 95%CI=0.31-0.50), low activity rest type (OR=0.10, 95%CI=0.06-0.15), and academic high type (OR=0.03, 95%CI=0.02-0.07) had lower active health levels among college students (all P < 0.01).

Conclusion

There is a significant difference in 24-hour activity time allocation among college students in Yinchuan, and different activity types are associated with active health levels.

, authors=Miao CHEN1, Suo ZHAI1, Wenqing DING*, 1, Ding YIN*, 2, authorsList=Miao CHEN, Suo ZHAI, Wenqing DING, Ding YIN, authorCompany=null, correspAuthors=Wenqing DING, Ding YIN, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2025 Chinese Journal of School Health. All rights reserved., 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=1325521046396350601, articleId=1325521045364551813, tenantId=1146029695717560320, journalId=1256213402557890569, language=CN, title=银川市大学生24 h活动时间分配与主动健康水平的关联, columnId=1259565859903779205, journalTitle=中国学校卫生, columnName=健康教育与健康促进, runingTitle=null, highlight=null, articleAbstract=
目的

探讨银川市大学生24 h活动时间分配的潜在分类及其与主动健康水平的关系,为优化活动时间分配,提升主动健康水平提供参考。

方法

于2024年11月18日—12月6日,采用分层整群随机抽样方法抽取银川市全日制本科院校的2 422名大一至大二年级学生为研究对象,采用中国大学生24 h活动行为问卷(24 h MBQ)和主动健康行为量表调查大学生24 h活动时间分配现状、评估主动健康水平,通过潜在剖面分析(LPA)判别活动类别,通过二元Logistic回归分析其与大学生主动健康水平的关联性。

结果

有1 087名(44.9%)大学生具备主动健康水平,不同年龄、年级、办学性质、生源地、学科类别大学生主动健康具备率差异均有统计学意义(χ2值分别为22.03,7.65,25.50,10.12,43.44,P值均<0.01);不同性别、年龄、年级、生源地、办学性质、学科类别大学生24 h活动时间分布差异均有统计学意义(t/Z/H/F=-5.70~111.39,P值均<0.05)。24 h活动时间分配模式可分为学屏双高型(6.9%)、低耗休眠型(8.8%)、轻度活跃型(67.8%)和高能动态型(16.4%)4种。不同年龄、办学性质和学科类别下大学生活动时间分配类别分布差异均有统计学意义(χ2=15.52~108.46,P值均<0.05)。以高能动态型为参照组,轻度活跃型(OR=0.39,95%CI=0.31~0.50)、低耗休眠型(OR=0.10,95%CI=0.06~0.15)和学屏双高型(OR=0.03,95%CI=0.02~0.07)大学生具备较低的主动健康水平(P值均<0.01)。

结论

银川市大学生24 h活动时间分配类别存在明显异质性,不同活动类别均与主动健康水平存在关联。

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陈妙(2001-),女,贵州毕节人,在读硕士,主要研究方向为儿童青少年体质与健康

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丁文清,E-mail:
殷鼎,E-mail:
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Appl Physiol Nutr Metabolism, 2020, 45(Suppl 2): S57-S102., articleTitle=null, refAbstract=null)], funds=[Fund(id=1325521053954486456, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, awardId=null, language=CN, fundingSource=宁夏医科大学校级重点项目(XZ201908), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1325521046664786058, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, xref=1, ext=[AuthorCompanyExt(id=1325521046673174667, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, companyId=1325521046664786058, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1School of Public Health, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China), AuthorCompanyExt(id=1325521046681563276, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, companyId=1325521046664786058, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1宁夏医科大学公共卫生学院, 银川 750004)]), AuthorCompany(id=1325521048237650061, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, xref=2, ext=[AuthorCompanyExt(id=1325521048476725390, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, companyId=1325521048237650061, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2天津体育学院武术与民族传统体育学院)])], figs=[ArticleFig(id=1325521050724872363, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=EN, label=Fig.1, caption=24-hour activity behavior duration of four time allocation categories among college students, figureFileSmall=faGuy7psGjlCPG29NYafWQ==, figureFileBig=BQHX+kUetOwSm/fbKfAJmg==, tableContent=null), ArticleFig(id=1325521050800369836, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=CN, label=图1, caption=大学生4种时间分配类别下的24 h活动行为时长, figureFileSmall=faGuy7psGjlCPG29NYafWQ==, figureFileBig=BQHX+kUetOwSm/fbKfAJmg==, tableContent=null), ArticleFig(id=1325521052855578798, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=EN, label=Tab.1, caption=

Comparison of proactive health literacy rates among different groups of college students

, figureFileSmall=null, figureFileBig=null, tableContent=
组别选项人数具备主动健康χ2值P值
性别男1 130510(45.1)0.060.82
女1 292577(44.7)
年龄/岁<189420(21.3)22.03<0.01
≥182 3281 067(45.8)
年级大一1 214511(42.1)7.65<0.01
大二1 208576(47.7)
办学性质公办1 217608(50.0)25.50<0.01
民办1 205479(39.8)
生源地城镇936458(48.9)10.12<0.01
农村1 486629(42.3)
BMI偏瘦500211(42.2)2.320.51
正常1 516689(45.4)
超重346157(45.4)
肥胖6030(50.0)
学科类别文史类321113(35.2)43.44<0.01
理工类1 163495(42.6)
医学类455260(57.1)
体育类11356(49.6)
其他370163(44.1)
父母最高初中及以下1 178512(43.5)5.300.07
学历中专/高中628274(43.6)
大专及以上616301(48.9)
), ArticleFig(id=1325521052922687663, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=CN, label=表1, caption=

不同组别大学生主动健康具备率比较

, figureFileSmall=null, figureFileBig=null, tableContent=
组别选项人数具备主动健康χ2值P值
性别男1 130510(45.1)0.060.82
女1 292577(44.7)
年龄/岁<189420(21.3)22.03<0.01
≥182 3281 067(45.8)
年级大一1 214511(42.1)7.65<0.01
大二1 208576(47.7)
办学性质公办1 217608(50.0)25.50<0.01
民办1 205479(39.8)
生源地城镇936458(48.9)10.12<0.01
农村1 486629(42.3)
BMI偏瘦500211(42.2)2.320.51
正常1 516689(45.4)
超重346157(45.4)
肥胖6030(50.0)
学科类别文史类321113(35.2)43.44<0.01
理工类1 163495(42.6)
医学类455260(57.1)
体育类11356(49.6)
其他370163(44.1)
父母最高初中及以下1 178512(43.5)5.300.07
学历中专/高中628274(43.6)
大专及以上616301(48.9)
), ArticleFig(id=1325521053098848432, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=EN, label=Tab.2, caption=

Comparison of the 24-hour activity duration among college students with different demographic characteristics[M(P25, P75), min]

, figureFileSmall=null, figureFileBig=null, tableContent=
人口学指标选项人数统计值睡眠b学习网络媒体
性别男1 130565.50±65.25218.57(192.86, 242.04)195.00(158.57, 226.32)
女1 292570.06±59.29220.64(195.71, 246.43)195.86(161.61, 224.39)
t/Z值-1.80-2.45-0.45
P值0.070.010.66
年龄/岁<1894532.32±73.06229.07(187.68, 257.21)215.00(189.11, 360.00)
≥182 328569.37±61.27219.36(193.64, 244.71)195.36(159.29, 223.43)
t/Z值-5.70-1.26-4.52
P值<0.010.21<0.01
年级大一1 214570.80±63.15220.00(194.50, 245.71)195.71(164.29, 223.75)
大二1 208565.05±61.05219.29(192.25, 244.29)195.36(157.54, 225.82)
t/Z值2.28-1.07-0.46
P值0.020.290.65
办学性质公办1 217562.73±60.67220.71(194.21, 247.71)195.00(161.43, 220.93)
民办1 205573.19±63.24218.57(193.57, 242.79)195.71(159.36, 228.57)
t/Z值4.16-1.61-1.33
P值<0.010.110.18
生源地城镇936564.95±60.03219.29(190.71, 243.36)195.86(160.11, 227.14)
农村1 486569.81±63.43220.00(195.71, 246.86)195.29(160.64, 224.07)
t/Z值-1.88-2.08-0.75
P值0.060.040.45
BMI偏瘦500571.65±62.83217.21(194.29, 242.64)195.71(154.54, 222.86)
正常1 516567.60±61.20220.86(194.29, 245.11)195.36(160.86, 224.43)
超重346566.00±65.95217.93(192.86, 248.54)195.93(159.54, 231.79)
肥胖60556.53±57.59214.71(193.04, 252.86)201.50(173.21, 230.46)
F/H值1.401.131.03
P值0.240.770.79
学科类别文史类321574.69±58.73221.14(197.29, 247.50)200.71(170.29, 233.57)
理工类1 163567.60±66.04218.57(193.57, 242.00)195.71(158.57, 228.57)
医学类455562.12±52.51222.86(192.86, 256.43)193.71(163.57, 218.57)
体育类113560.19±73.49209.43(184.64, 232.29)189.57(114.79, 213.29)
其他370572.65±58.98220.79(197.86, 245.04)195.00(161.43, 222.86)
Fa/H值3.3519.1317.85
P值0.01<0.01<0.01
父母最高学历初中及以下1 178568.26±62.53218.57(194.29, 246.00)195.00(160.71, 224.57)
中专/高中628569.60±60.47220.29(194.18, 241.64)195.93(160.79, 222.86)
大专及以上616565.61±63.22219.71(192.86, 247.07)195.71(158.75, 229.86)
F/H值0.670.140.13
P值0.510.930.94
人口学指标选项人数统计值其他久坐行为高强度身体活动中强度身体活动低强度身体活动
性别男1 130105.21(75.14, 136.32)54.29(27.14, 86.04)40.00(22.86, 75.18)219.00(120.79, 304.71)
女1 292105.71(77.14, 131.14)40.00(22.43, 70.64)34.29(17.14, 60.00)234.79(149.14, 314.29)
t/Z值-0.44-7.19-5.57-2.91
P值0.66<0.01<0.01<0.01
年龄/岁<1894114.79(77.14, 162.00)30.00(12.86, 61.46)21.43(5.54, 42.86)211.71(82.29, 314.29)
≥182 328105.21(77.14, 133.39)47.14(25.71, 79.64)35.71(21.43, 68.57)227.00(136.61, 309.86)
t/Z值-1.52-3.93-5.11-1.44
P值0.13<0.01<0.010.15
年级大一1 214104.93(77.14, 132.32)48.57(25.71, 77.14)35.71(20.00, 65.71)224.29(133.61, 308.71)
大二1 208106.14(77.14, 135.11)45.71(25.71, 77.14)34.29(20.71, 68.57)229.79(137.71, 310.29)
t/Z值-0.81-0.06-0.10-0.50
P值0.420.950.920.62
办学性质公办1 217102.86(68.57, 130.36)47.14(25.71, 81.43)38.57(21.43, 68.57)236.00(144.29, 311.50)
民办1 205110.00(77.14, 135.71)47.14(25.71, 77.14)34.29(18.57, 64.29)214.43(128.57, 309.29)
t/Z值-3.15-0.82-3.03-2.54
P值<0.010.41<0.010.01
生源地城镇936102.86(77.14, 134.14)42.86(22.86, 77.14)34.29(18.57, 64.29)237.07(144.21, 316.18)
农村1 486107.57(77.14, 133.75)48.57(25.71, 81.43)37.14(21.43, 68.57)220.29(129.14, 306.64)
t/Z值-1.18-2.06-1.88-2.46
P值0.240.040.060.01
BMI偏瘦500110.21(77.14, 135.71)45.79(25.71, 75.54)34.29(18.57, 68.57)219.14(124.79, 316.64)
正常1 516104.29(77.14, 132.25)47.14(25.71, 81.43)35.71(20.00, 68.57)229.07(138.00, 308.21)
超重346102.86(68.21, 133.54)51.43(25.71, 81.61)34.29(21.43, 64.29)229.36(132.29, 311.96)
肥胖60119.50(68.57, 152.32)38.57(21.79, 67.14)34.29(22.86, 60.00)222.64(134.50, 305.50)
F/H值6.443.990.270.51
P值0.090.260.970.92
学科类别文史类321116.43(77.14, 140.21)45.71(25.71, 73.64)31.43(17.14, 51.43)201.71(117.50, 282.57)
理工类1 163108.57(76.57, 135.00)51.43(25.71, 81.43)35.71(21.43, 67.14)219.00(133.86, 310.14)
医学类455101.43(70.00, 125.57)34.29(20.00, 62.86)34.29(18.57, 60.00)260.57(177.00, 328.57)
体育类113103.57(60.00, 133.29)90.71(60.00, 122.14)77.14(40.00, 115.36)203.71(91.71, 278.64)
其他370106.29(77.14, 133.21)47.14(25.71, 80.36)34.43(19.82, 67.29)231.93(123.14, 321.57)
Fa/H值14.83111.3967.7543.91
P值<0.01<0.01<0.01<0.01
父母最高学历初中及以下1 178106.86(77.14, 134.14)47.14(25.71, 77.14)37.14(21.43, 68.57)219.36(124.18, 315.79)
中专/高中628106.07(76.93, 132.82)42.86(25.71, 77.14)34.29(20.00, 64.29)233.93(159.54, 306.07)
大专及以上616102.86(77.14, 134.14)45.71(23.00, 81.43)34.29(18.57, 64.29)235.21(137.50, 308.50)
F/H值0.780.321.442.94
P值0.680.850.490.23
), ArticleFig(id=1325521053182734513, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=CN, label=表2, caption=

不同人口学特征大学生24 h活动类型时长比较[M(P25,P75),min]

, figureFileSmall=null, figureFileBig=null, tableContent=
人口学指标选项人数统计值睡眠b学习网络媒体
性别男1 130565.50±65.25218.57(192.86, 242.04)195.00(158.57, 226.32)
女1 292570.06±59.29220.64(195.71, 246.43)195.86(161.61, 224.39)
t/Z值-1.80-2.45-0.45
P值0.070.010.66
年龄/岁<1894532.32±73.06229.07(187.68, 257.21)215.00(189.11, 360.00)
≥182 328569.37±61.27219.36(193.64, 244.71)195.36(159.29, 223.43)
t/Z值-5.70-1.26-4.52
P值<0.010.21<0.01
年级大一1 214570.80±63.15220.00(194.50, 245.71)195.71(164.29, 223.75)
大二1 208565.05±61.05219.29(192.25, 244.29)195.36(157.54, 225.82)
t/Z值2.28-1.07-0.46
P值0.020.290.65
办学性质公办1 217562.73±60.67220.71(194.21, 247.71)195.00(161.43, 220.93)
民办1 205573.19±63.24218.57(193.57, 242.79)195.71(159.36, 228.57)
t/Z值4.16-1.61-1.33
P值<0.010.110.18
生源地城镇936564.95±60.03219.29(190.71, 243.36)195.86(160.11, 227.14)
农村1 486569.81±63.43220.00(195.71, 246.86)195.29(160.64, 224.07)
t/Z值-1.88-2.08-0.75
P值0.060.040.45
BMI偏瘦500571.65±62.83217.21(194.29, 242.64)195.71(154.54, 222.86)
正常1 516567.60±61.20220.86(194.29, 245.11)195.36(160.86, 224.43)
超重346566.00±65.95217.93(192.86, 248.54)195.93(159.54, 231.79)
肥胖60556.53±57.59214.71(193.04, 252.86)201.50(173.21, 230.46)
F/H值1.401.131.03
P值0.240.770.79
学科类别文史类321574.69±58.73221.14(197.29, 247.50)200.71(170.29, 233.57)
理工类1 163567.60±66.04218.57(193.57, 242.00)195.71(158.57, 228.57)
医学类455562.12±52.51222.86(192.86, 256.43)193.71(163.57, 218.57)
体育类113560.19±73.49209.43(184.64, 232.29)189.57(114.79, 213.29)
其他370572.65±58.98220.79(197.86, 245.04)195.00(161.43, 222.86)
Fa/H值3.3519.1317.85
P值0.01<0.01<0.01
父母最高学历初中及以下1 178568.26±62.53218.57(194.29, 246.00)195.00(160.71, 224.57)
中专/高中628569.60±60.47220.29(194.18, 241.64)195.93(160.79, 222.86)
大专及以上616565.61±63.22219.71(192.86, 247.07)195.71(158.75, 229.86)
F/H值0.670.140.13
P值0.510.930.94
人口学指标选项人数统计值其他久坐行为高强度身体活动中强度身体活动低强度身体活动
性别男1 130105.21(75.14, 136.32)54.29(27.14, 86.04)40.00(22.86, 75.18)219.00(120.79, 304.71)
女1 292105.71(77.14, 131.14)40.00(22.43, 70.64)34.29(17.14, 60.00)234.79(149.14, 314.29)
t/Z值-0.44-7.19-5.57-2.91
P值0.66<0.01<0.01<0.01
年龄/岁<1894114.79(77.14, 162.00)30.00(12.86, 61.46)21.43(5.54, 42.86)211.71(82.29, 314.29)
≥182 328105.21(77.14, 133.39)47.14(25.71, 79.64)35.71(21.43, 68.57)227.00(136.61, 309.86)
t/Z值-1.52-3.93-5.11-1.44
P值0.13<0.01<0.010.15
年级大一1 214104.93(77.14, 132.32)48.57(25.71, 77.14)35.71(20.00, 65.71)224.29(133.61, 308.71)
大二1 208106.14(77.14, 135.11)45.71(25.71, 77.14)34.29(20.71, 68.57)229.79(137.71, 310.29)
t/Z值-0.81-0.06-0.10-0.50
P值0.420.950.920.62
办学性质公办1 217102.86(68.57, 130.36)47.14(25.71, 81.43)38.57(21.43, 68.57)236.00(144.29, 311.50)
民办1 205110.00(77.14, 135.71)47.14(25.71, 77.14)34.29(18.57, 64.29)214.43(128.57, 309.29)
t/Z值-3.15-0.82-3.03-2.54
P值<0.010.41<0.010.01
生源地城镇936102.86(77.14, 134.14)42.86(22.86, 77.14)34.29(18.57, 64.29)237.07(144.21, 316.18)
农村1 486107.57(77.14, 133.75)48.57(25.71, 81.43)37.14(21.43, 68.57)220.29(129.14, 306.64)
t/Z值-1.18-2.06-1.88-2.46
P值0.240.040.060.01
BMI偏瘦500110.21(77.14, 135.71)45.79(25.71, 75.54)34.29(18.57, 68.57)219.14(124.79, 316.64)
正常1 516104.29(77.14, 132.25)47.14(25.71, 81.43)35.71(20.00, 68.57)229.07(138.00, 308.21)
超重346102.86(68.21, 133.54)51.43(25.71, 81.61)34.29(21.43, 64.29)229.36(132.29, 311.96)
肥胖60119.50(68.57, 152.32)38.57(21.79, 67.14)34.29(22.86, 60.00)222.64(134.50, 305.50)
F/H值6.443.990.270.51
P值0.090.260.970.92
学科类别文史类321116.43(77.14, 140.21)45.71(25.71, 73.64)31.43(17.14, 51.43)201.71(117.50, 282.57)
理工类1 163108.57(76.57, 135.00)51.43(25.71, 81.43)35.71(21.43, 67.14)219.00(133.86, 310.14)
医学类455101.43(70.00, 125.57)34.29(20.00, 62.86)34.29(18.57, 60.00)260.57(177.00, 328.57)
体育类113103.57(60.00, 133.29)90.71(60.00, 122.14)77.14(40.00, 115.36)203.71(91.71, 278.64)
其他370106.29(77.14, 133.21)47.14(25.71, 80.36)34.43(19.82, 67.29)231.93(123.14, 321.57)
Fa/H值14.83111.3967.7543.91
P值<0.01<0.01<0.01<0.01
父母最高学历初中及以下1 178106.86(77.14, 134.14)47.14(25.71, 77.14)37.14(21.43, 68.57)219.36(124.18, 315.79)
中专/高中628106.07(76.93, 132.82)42.86(25.71, 77.14)34.29(20.00, 64.29)233.93(159.54, 306.07)
大专及以上616102.86(77.14, 134.14)45.71(23.00, 81.43)34.29(18.57, 64.29)235.21(137.50, 308.50)
F/H值0.780.321.442.94
P值0.680.850.490.23
), ArticleFig(id=1325521053283397810, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=EN, label=Tab.3, caption=

Fit indices of the latent class model for 24-hour activity time allocation among college students(n=2 422)

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类别AIC值BIC值aBIC值Entropy值PLMR值PBLRT值条件概率
1187 825.59187 906.68187 862.20———1.00
2186 348.71186 476.14186 406.240.87<0.01<0.010.84/0.16
3185 157.30185 331.07185 235.760.90<0.01<0.010.75/0.09/0.15
4184 069.70184 289.81184 169.080.91<0.01<0.010.07/0.09/0.68/0.16
5183 250.49183 516.94183 370.790.82<0.01<0.010.36/0.38/0.09/0.11/0.07
6182 793.95183 106.74182 935.170.820.12<0.010.34/0.09/ 0.17/0.07/0.03/0.31
), ArticleFig(id=1325521053354700979, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=CN, label=表3, caption=

大学生24 h活动时间分配潜在类别模型拟合指数(n=2 422)

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类别AIC值BIC值aBIC值Entropy值PLMR值PBLRT值条件概率
1187 825.59187 906.68187 862.20———1.00
2186 348.71186 476.14186 406.240.87<0.01<0.010.84/0.16
3185 157.30185 331.07185 235.760.90<0.01<0.010.75/0.09/0.15
4184 069.70184 289.81184 169.080.91<0.01<0.010.07/0.09/0.68/0.16
5183 250.49183 516.94183 370.790.82<0.01<0.010.36/0.38/0.09/0.11/0.07
6182 793.95183 106.74182 935.170.820.12<0.010.34/0.09/ 0.17/0.07/0.03/0.31
), ArticleFig(id=1325521053518278836, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=EN, label=Tab.4, caption=

Comparison of the distribution of 24-hour activity time allocation categories among college students from different groups

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组别选项人数学屏双高型低耗休眠型轻度活跃型高能动态型χ2值P值
年龄/岁<189424(25.5)15(16.0)47(50.0)8(8.5)62.66<0.01
≥182 328144(6.2)199(8.5)1 596(68.6)389(16.7)
年级大一1 21488(7.2)97(8.0)837(68.9)192(15.8)3.250.36
大二1 20880(6.6)117(9.7)806(66.7)205(17.0)
办学性质公办1 21766(5.4)95(7.8)836(68.7)220(18.1)15.52<0.01
民办1 205102(8.5)119(9.9)807(67.0)177(14.7)
生源地城镇93667(7.2)76(8.1)645(68.9)148(15.8)1.570.67
农村1 486101(6.8)138(9.3)998(67.2)249(16.8)
学科类别文史类32135(10.9)41(12.8)206(64.2)39(12.1)108.46<0.01
理工类1 16384(7.2)105(9.0)781(67.2)193(16.6)
医学类45520(4.4)22(4.8)357(78.5)56(12.3)
体育类1135(4.4)11(9.7)47(41.6)50(44.2)
其他37024(6.5)35(9.5)252(68.1)59(15.9)
), ArticleFig(id=1325521053606359221, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=CN, label=表4, caption=

不同组别大学生24 h活动时间分配类别分布比较

, figureFileSmall=null, figureFileBig=null, tableContent=
组别选项人数学屏双高型低耗休眠型轻度活跃型高能动态型χ2值P值
年龄/岁<189424(25.5)15(16.0)47(50.0)8(8.5)62.66<0.01
≥182 328144(6.2)199(8.5)1 596(68.6)389(16.7)
年级大一1 21488(7.2)97(8.0)837(68.9)192(15.8)3.250.36
大二1 20880(6.6)117(9.7)806(66.7)205(17.0)
办学性质公办1 21766(5.4)95(7.8)836(68.7)220(18.1)15.52<0.01
民办1 205102(8.5)119(9.9)807(67.0)177(14.7)
生源地城镇93667(7.2)76(8.1)645(68.9)148(15.8)1.570.67
农村1 486101(6.8)138(9.3)998(67.2)249(16.8)
学科类别文史类32135(10.9)41(12.8)206(64.2)39(12.1)108.46<0.01
理工类1 16384(7.2)105(9.0)781(67.2)193(16.6)
医学类45520(4.4)22(4.8)357(78.5)56(12.3)
体育类1135(4.4)11(9.7)47(41.6)50(44.2)
其他37024(6.5)35(9.5)252(68.1)59(15.9)
), ArticleFig(id=1325521053702828214, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=EN, label=Tab.5, caption=

Logistic regression analysis of 24-hour activity time allocation categories and active health levels among college students(n=2 422)

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自变量模型1模型2
β值OR值(95%CI)P值β值OR值(95%CI)P值
高能动态型1.001.00
轻度活跃型-0.890.41(0.32~0.52)<0.01-0.940.39(0.31~0.50)<0.01
低耗休眠型-2.360.09(0.06~0.14)<0.01-2.340.10(0.06~0.15)<0.01
学屏双高型-3.420.03(0.02~0.06)<0.01-3.370.03(0.02~0.07)<0.01
), ArticleFig(id=1325521053769937079, tenantId=1146029695717560320, journalId=1256213402557890569, articleId=1325521045364551813, language=CN, label=表5, caption=

大学生24 h活动时间分配类别与主动健康水平的Logistic回归分析(n=2 422)

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自变量模型1模型2
β值OR值(95%CI)P值β值OR值(95%CI)P值
高能动态型1.001.00
轻度活跃型-0.890.41(0.32~0.52)<0.01-0.940.39(0.31~0.50)<0.01
低耗休眠型-2.360.09(0.06~0.14)<0.01-2.340.10(0.06~0.15)<0.01
学屏双高型-3.420.03(0.02~0.06)<0.01-3.370.03(0.02~0.07)<0.01
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银川市大学生24 h活动时间分配与主动健康水平的关联
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陈妙 1 , 翟锁 1 , 丁文清 *, 1 , 殷鼎 *, 2
中国学校卫生 | 健康教育与健康促进 2025,46(7): 950-955
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中国学校卫生 |健康教育与健康促进 2025 , 46 (7) : 950 -955
银川市大学生24 h活动时间分配与主动健康水平的关联
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陈妙1, 翟锁1, 丁文清*, 1 , 殷鼎*, 2
作者信息
  • 1宁夏医科大学公共卫生学院, 银川 750004
  • 2天津体育学院武术与民族传统体育学院
通讯作者:
丁文清,E-mail:
殷鼎,E-mail:
作者简介:

陈妙(2001-),女,贵州毕节人,在读硕士,主要研究方向为儿童青少年体质与健康

Assoication between 24-hour activity time allocation and active health levels among college students in Yinchuan City
Miao CHEN1, Suo ZHAI1, Wenqing DING*, 1 , Ding YIN*, 2
Affiliations
  • 1School of Public Health, Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
出版时间: 2025-07-25 doi: 10.16835/j.cnki.1000-9817.2025194
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目的

探讨银川市大学生24 h活动时间分配的潜在分类及其与主动健康水平的关系,为优化活动时间分配,提升主动健康水平提供参考。

方法

于2024年11月18日—12月6日,采用分层整群随机抽样方法抽取银川市全日制本科院校的2 422名大一至大二年级学生为研究对象,采用中国大学生24 h活动行为问卷(24 h MBQ)和主动健康行为量表调查大学生24 h活动时间分配现状、评估主动健康水平,通过潜在剖面分析(LPA)判别活动类别,通过二元Logistic回归分析其与大学生主动健康水平的关联性。

结果

有1 087名(44.9%)大学生具备主动健康水平,不同年龄、年级、办学性质、生源地、学科类别大学生主动健康具备率差异均有统计学意义(χ2值分别为22.03,7.65,25.50,10.12,43.44,P值均<0.01);不同性别、年龄、年级、生源地、办学性质、学科类别大学生24 h活动时间分布差异均有统计学意义(t/Z/H/F=-5.70~111.39,P值均<0.05)。24 h活动时间分配模式可分为学屏双高型(6.9%)、低耗休眠型(8.8%)、轻度活跃型(67.8%)和高能动态型(16.4%)4种。不同年龄、办学性质和学科类别下大学生活动时间分配类别分布差异均有统计学意义(χ2=15.52~108.46,P值均<0.05)。以高能动态型为参照组,轻度活跃型(OR=0.39,95%CI=0.31~0.50)、低耗休眠型(OR=0.10,95%CI=0.06~0.15)和学屏双高型(OR=0.03,95%CI=0.02~0.07)大学生具备较低的主动健康水平(P值均<0.01)。

结论

银川市大学生24 h活动时间分配类别存在明显异质性,不同活动类别均与主动健康水平存在关联。

运动活动  /  时间  /  回归分析  /  学生
Objective

To explore the potential classification of 24-hour activity time allocation among college students in Yinchuan and its association with active health levels, so as to provide references for optimizing activity time allocation to enhance active health levels.

Methods

From November 18 to December 6, 2024, a stratified cluster random sampling method was used to select 2 422 first- and second-year college students from full-time undergraduate institutions in Yinchuan. The Chinese College Students' 24-hour Movement Behaviors Questionnaire (24 h MBQ) and Active Health Behavior Scale were used to assess 24-hour activity time allocation and evaluate active health levels. Latent profile analysis (LPA) was employed to categorize activity types, and a binary Logistic regression analysis was conducted to analyze the relationship between active health levels and activity types.

Results

A total of 1 087 students (44.9%) were found of meeting active health standards, and significant statistical differences were found in active health levels across different genders, grades, academic qualities, sources of origin and academic categories (χ2=22.03, 7.65, 25.50, 10.12, 43.44, all P < 0.01). Moreover, significant statistical differences could also be found among college students' 24-hour activity time across different genders, ages, grades, sources of origin, academic qualities, and academic categories (t/Z/H/F=-5.70-111.39, P < 0.05).The 24-hour activity time allocation was classified into four types: academic high (6.9%), low activity rest (8.8%), light activity (67.8%), and high activity dynamic (16.4%). Significant statistical differences were observed in activity time allocation categories across different ages, academic qualities and academic categories (χ2=15.52-108.46, all P < 0.05). Using the high activity dynamic type as a reference, the light activity type (OR=0.39, 95%CI=0.31-0.50), low activity rest type (OR=0.10, 95%CI=0.06-0.15), and academic high type (OR=0.03, 95%CI=0.02-0.07) had lower active health levels among college students (all P < 0.01).

Conclusion

There is a significant difference in 24-hour activity time allocation among college students in Yinchuan, and different activity types are associated with active health levels.

Motor activity  /  Time  /  Regression analysis  /  Students
陈妙, 翟锁, 丁文清, 殷鼎. 银川市大学生24 h活动时间分配与主动健康水平的关联. 中国学校卫生, 2025 , 46 (7) : 950 -955 . DOI: 10.16835/j.cnki.1000-9817.2025194
Miao CHEN, Suo ZHAI, Wenqing DING, Ding YIN. Assoication between 24-hour activity time allocation and active health levels among college students in Yinchuan City[J]. Chinese Journal of School Health, 2025 , 46 (7) : 950 -955 . DOI: 10.16835/j.cnki.1000-9817.2025194
随着《“十三五”卫生与健康科技创新专项规划》[1]和“健康中国”战略[2]的深入推进,主动健康已被视为一种以预防为主导的新型健康促进模式,其本质上是通过提升健康素养和培养行为技能来增强个体健康自主管理能力[3-4]。时间流行病学揭示了24 h活动行为与主动健康风险的复杂关联[5],通过潜在剖面分析(latent profile analysis,LPA)能精准识别异质性活动模式[6],进一步探索不同活动时间分配产生的健康效应[7]。本研究基于时间流行病学理论,通过LPA探讨银川市大学生24 h活动特征,分析不同活动模式对主动健康的效应,为优化大学生健康行为的时间管理策略,提升主动健康水平提供循证依据。
于2024年11月18日—12月6日,采用分层整群随机抽样方法,按办学性质将银川市全日制本科院校分为公办和民办2层,各抽取3所院校,每所院校采用抽签法在大一、大二年级中各抽取4~6个班级,共纳入60个班级的全部学生。发放问卷2 632份,回收有效问卷2 422份,有效率92.0%。其中男生1 130名,女生1 292名;公办院校学生1 217名,民办院校1 205名。本研究已获宁夏医科大学伦理委员会批准(批准号:2024-G017),所有参与者均签署知情同意书。
采用自编问卷收集人口学资料,包括性别、年龄、年级、办学性质、生源地、体质量指数(body mass index, BMI)、学科类别、父母最高学历等。
采用24 h活动行为问卷(24-hour Movement Behaviors Questionnaire,24 h MBQ)[8]评估大学生24 h活动行为,该问卷在中国大学生中具有较好的信效度和接受度[9]。问卷分为睡眠、久坐行为和身体活动3个部分,共有26道题目。第一部分主要调查学生最近一周的睡眠时间;第二部分调查最近一周内久坐行为时间(活动项目包括学习、网络媒体和其他久坐行为);第三部分调查最近一周的身体活动情况(活动项目包括高中低3种不同强度的身体活动)。学生24 h各项活动的时间=(工作日某项活动时间×5)/7+(周末某项活动时间×2)/7。本研究中该问卷不同活动时间的重测信度为0.84~0.94。
参考樊可馨等[10]编制的青少年主动健康问卷和李文翠等[11]编制的居民主动健康行为量表,并参考专家意见编制本研究问卷,后经预调查并调整,该量表包含主动健康知识、信念、行为和基本技能素养4个维度,共34道题目。采用Likert 5点计分,“1=完全不同意”~“5=完全同意”,总分34~170分,参照中国健康素养标准[12],将总分的80%以上判定为具备主动健康。该量表重测信度为0.90,Cronbach α系数为0.94。
正式调查前对工作人员进行标准化培训,并通过预调查验证问卷信效度。在数据收集阶段,对回收问卷进行完整性检查和逻辑校验,剔除无效问卷,采用双录入方式录入数据,确保问卷数据的准确性。
采用EpiData 3.1软件进行双录入校验,使用SPSS 24.0软件进行统计分析,计数资料以n(%)描述,组间比较用χ2检验;计量资料数据符合正态分布采用(x±s)进行描述,组间比较用t检验、ANOVA或使用Welch校正的ANOVA,不符合正态分布则采用M(P25,P75)进行描述,组间比较用Mann-Whitney U或Kruskal-Wallis H检验。采用Mplus 8.3软件进行LPA[13],模型拟合指标中赤池信息准则(akaike information criterion,AIC)、贝叶斯信息准则(Bayesian information criterion,BIC)、样本量调整BIC(sample size-adjusted BIC,aBIC)值越低,模型拟合度越好;熵(entropy)值越接近1,模型分类准确性越高;洛-门德尔-鲁宾调整似然比检验(Lo-Mendell-Kubin, LMR)和Bootstrap似然比检验(bootstrap likelihood ratio test, BLRT)值检验的P<0.05,k类别模型显著优于k-1类别模型。采用二元Logistic回归分析不同活动类别与主动健康的关联,并调整混杂因素年龄、办学性质、学科类别、年级、生源地、性别。检验水准α=0.05。
见表1,2。
有1 087名大学生具备主动健康,主动健康具备率为44.9%。≥18岁大学生比<18岁大学生高;大二学生(47.7%)高于大一学生(42.1%);公办本科学生(50.0%)高于民办本科(39.8%);城镇(48.9%)高于农村(42.3%);医学生最高(57.1%),组间差异均有统计学意义(P值均<0.05)。24 h活动时间分布中睡眠时长为(567.93±62.17)min,学习时长为219.86(193.57, 245.04)min,网络媒体时长为195.71(160.43, 225.00)min,其他久坐行为时长为105.71(77.14, 133.86)min,高强度身体活动时长为47.14(25.71, 77.14)min,中强度身体活动时长为35.71(20.00, 67.93)min,低强度身体活动时长为226.36(135.36, 309.93)min。不同性别、年龄、年级、生源地、办学性质、学科类别学生24 h活动行为时长差异均有统计学意义(P值均<0.05)。
基于7个活动项目维度指标,对时间分配模式的潜在类别进行分析,分别抽取类别模型1~6,并对模型拟合度进行评价。AIC、BIC和aBIC值均随类别数增加单调递减;类别模型4的Entropy值最高;LMR和BLRT检验显示类别模型2~5均达统计学水平(P值均<0.05)。基于模型拟合指标和实际解释性的综合评估,最终确定4类模型为最优模型。验证分析显示,各潜在类别的平均归属概率达0.89~0.96,而类别间误分率仅为0.01~0.02,表明分类结果具有较高信效度。见表3。
由图1可见,基于24 h活动时间分配的条件均值特征,系统识别并命名了大学生群体的4种典型时间分配模式:类别模型1占总体的6.9%(168名),主要特点为学习和网络媒体时间过高,命名为学屏双高型;类别模型2占总体的8.8%(214名),主要特点为久坐和睡眠时间过高,命名为低耗休眠型;类别模型3占总体的67.8%(1 643名),主要特点为低强度身体活动时间过高,命名为轻度活跃型;类别模型4占总体的16.4%(397名),主要特点为中高等强度身体活动时间最突出,其他各项活动时间分配差异不大,命名高能动态型。
不同年龄、办学性质、学科类别的大学生的24 h活动时间分配类别分布差异均有统计学意义(P值均<0.05),见表4。
以是否具备主动健康为因变量(否=0,是=1),以24 h活动时间分配类别(高能动态型=1,轻度活跃型=2,低耗休眠型=3,学屏双高型=4)作为自变量,在校正年龄、办学性质和学科类别等混杂因素后进行多因素Logistic回归分析,结果显示,轻度活跃型、低耗休眠型、学屏双高型3种活动类别与大学生主动健康具备率呈负相关(P值均<0.01)。见表5。
提升全民主动健康水平需构建“知识-理念-行为”体系,健康素养是其核心[14]。本研究得出银川市大学生主动健康具备率为44.90%,虽略高于我国最新健康素养报告率(31.87%)[15],但仍有提升空间。本研究整合24 h活动行为变量数据,推导出学屏双高型(6.9%)、低耗休眠型(8.8%)、轻度活跃型(67.8%)、高能动态型(16.4%)4种潜在活动类别,反映时间分配的不均衡和潜在健康风险,体现出24 h活动指南中“个体导向”的研究范式,并揭示活动行为的交互作用和群体差异[16-17],表明大学生应主动采取精准活动措施。
本研究发现学屏双高型和低耗休眠型的学生普遍存在过度投入学习或依赖电子设备、久坐、睡眠不佳等情况。研究证实,该情况易出现焦虑、抑郁等情绪症状及视力、头痛等健康问题[18]。有研究深入揭示活动失衡是心脑血管疾病的重要诱因[19]。鉴于慢性病风险在这类人群中不断攀升,提升其健康素养尤为迫切,如黎婉钰等[20]所述,提升慢性病患者的健康素养,不仅是实现主动健康的关键路径,更是医疗服务体系的核心目标。
本研究进一步揭示了大学生时间分配模式与主动健康水平之间的紧密联系,发现轻度活跃型时间分配仍然会增加大学生不良主动健康水平的风险,而高能动态型大学生具备高质量的中高等体力活动(moderate to vigorous physical activity,MVPA),其主动健康水平优于其他组别。在多项等时替代模型研究中也发现,24 h活动行为的组合效应显著优于单一行为干预[21]。当MVPA和睡眠不变时,低强度体力活动替代久坐行为后自我感知健康能力会下降[22],且对个体控制力与技能效果提升有限[23]。相反,通过MVPA替代睡眠或久坐可显著优化个体健康体适能[24],个体心理愉悦感也有所上升[25],其认知灵活性和执行功能也会发生积极变化[26]。
综上所述,银川市大学生主动健康水平亟待提高,睡眠不佳、久坐和身体活动不足是主要相关因素。可通过学校-家庭-社会-个人协同[27]促进学生24 h活动时间合理分配,建议学校开展课间10 min高强度间歇训练[28]、增设站立式课桌等;家庭提供运动支持和情感陪伴;社会完善政策保障和资源整合;个人遵守24 h活动指南[29],每日保证7~9 h睡眠时间;将每日久坐时间控制在8 h以内,其中娱乐性屏幕时间不超过3 h,可选择站立自习区学习及设置屏幕使用时间;每次运动30~60 min,每周至少3~5次,保证每周MVPA不低于150 min,使用时间管理工具记录和调整时间分配。
本研究存在一定的局限性:(1)调查仅在银川市取样,未来应扩大研究范围,提高样本代表性;(2)24 h活动时间数据通过问卷调查获取,未来应采用多模态数据采集方法,如结合加速度计、智能手环等客观测量工具与实时报告法,提高数据准确性;(3)研究属于横断面研究,未来可采用交叉滞后模型、随机对照试验进行因果推断。
  • 宁夏医科大学校级重点项目(XZ201908)
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doi: 10.16835/j.cnki.1000-9817.2025194
  • 接收时间:2025-04-10
  • 首发时间:2026-11-06
  • 出版时间:2025-07-25
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  • 收稿日期:2025-04-10
  • 修回日期:2025-05-29
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宁夏医科大学校级重点项目(XZ201908)
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    1宁夏医科大学公共卫生学院, 银川 750004
    2天津体育学院武术与民族传统体育学院

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