Article(id=1240722575152697803, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240722566957027366, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202505446, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748188800000, receivedDateStr=2025-05-26, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773740913427, onlineDateStr=2026-03-17, pubDate=1760025600000, pubDateStr=2025-10-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773740913427, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773740913427, creator=13701087609, updateTime=1773740913427, updator=13701087609, issue=Issue{id=1240722566957027366, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='19', pageStart='3457', pageEnd='3648', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=0, createTime=1773740911472, creator=13701087609, updateTime=1773740981732, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240722861736906836, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240722566957027366, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240722861736906837, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1240722566957027366, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3559, endPage=3567, ext={EN=ArticleExt(id=1240722575676985838, articleId=1240722575152697803, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Comparative analysis of multimorbidity progression trajectories between middle-aged and elderly agricultural and non-agricultural workers, columnId=1228016572892119056, journalTitle=Modern Preventive Medicine, columnName=Primary Health Services, runingTitle=null, highlight=null, articleAbstract=

Objective To analyze the differences in chronic disease multimorbidity trajectories and influencing factors between middle-aged and elderly agricultural and non-agricultural production operators. Methods Data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020 were used. Group-based trajectory modeling (GBTM) was applied to fit multimorbidity trajectories for both groups, and multivariable logistic regression analysis was conducted to identify factors influencing the trajectory groups. Results A total of 9 937 participants were included, with 5 010 in the agricultural group and 4 927 in the non-agricultural group. In the agricultural group, the multimorbidity trajectories were classified into three patterns: no-multimorbidity (19.22%, 963 cases), new-onset multimorbidity (56.45%,2 828 cases), and progressive multimorbidity (24.33%, 1 219 cases). In the non-agricultural group, four patterns were identified: no-multimorbidity (18.06%, 890 cases), new-onset multimorbidity (41.10%, 2 025 cases), progressive multimorbidity (33.65%, 1 658 cases), and high-growth multimorbidity (7.18%, 354 cases). Increasing age, obesity, sleep duration ≤6 hours, and poor psychological status significantly increased the risk of multimorbidity in both groups (P<0.05). Among agricultural group, overweight (OR=1.37, 95% CI: 1.14-1.65; OR=2.49, 95% CI: 2.01-3.08) and obesity(OR=2.21, 95%CI: 1.59-3.06; OR=5.58, 95% CI: 3.93-7.92) significantly increased the risks of multimorbidity. In the non-agricultural group, higher education levels reduced the risk of new-onset multimorbidity(OR=0.75, 95% CI: 0.60-0.95), and moderate physical activity decreased the risk of high-growth multimorbidity(OR=0.68, 95% CI: 0.52-0.90). Smoking cessation was significantly associated with increased risks of multimorbidity (OR=1.55, 95% CI: 1.04-2.32; OR=2.37, 95% CI: 1.57-3.57; OR=4.02, 95%CI: 2.31-7.00). Conclusion In agricultural populations, the new-onset multimorbidity type is dominant, driven by obesity and insufficient sleep. In non-agricultural populations, the high-growth multimorbidity type is associated with poor psychological status and health deterioration after smoking cessation. It is necessary to strengthen weight and sleep management for agricultural populations and focus on mental health as well as post-cessation monitoring for non-agricultural populations to reduce the risk of multimorbidity.

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目的 分析中老年农业与非农业生产经营人员慢性病共病轨迹差异及影响因素。方法 基于中国健康与养老追踪调查(China Health and Retirement Longitudinal Survey,CHARLS)2011—2020年五波数据,采用组基轨迹模型拟合两类人群共病发展轨迹,logistic回归分析不同轨迹组的影响因素。结果 纳入研究对象9 937例,农业生产经营人员5 010例,非农业生产经营人员4 927例。农业人员无共病型963例(19.22%)、新增共病型2 828例(56.45%)、共病进展型1 219例(24.33%);非农业人员无共病型890例(18.06%)、新增共病型2 025例(41.10%)、共病进展型1 658例(33.65%)、高共病增长型354例(7.18%)。年龄增长、肥胖、晚间睡眠≤6 h、心理状态差显著增高两类人群共病风险(P<0.05)。农业生产经营人员超重(OR=1.37,95%CI:1.14~1.65;OR=2.49,95%CI:2.01~3.08)、肥胖(OR=2.21,95%CI:1.59~3.06;OR=5.58,95%CI:3.93~7.92)显著增加共病风险。非农业人员高教育程度降低新增共病风险(OR=0.75,95%CI:0.60~0.95),中等体力活动降低高共病增长风险(OR=0.68,95%CI:0.52~0.90),已戒烟增加共病增长风险(OR= 1.55,95%CI:1.04~2.32;OR=2.37,95%CI:1.57~3.57;OR=4.02,95%CI:2.31~7.00)。结论 农业人群以新增共病型为主,受肥胖和睡眠不足驱动;非农人群高共病增长型与心理状态差及戒烟后健康恶化相关。需针对农业人群加强体重和睡眠管理,非农人群侧重心理健康及戒烟后监测,以降低共病风险。

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李小明,E-mail:
, copyrightStatement=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=qY2rk/ruhDXwn6uqmDj6Kw==, magXml=+bpkweQAXgFa4NguIBfA8A==, pdfUrl=null, pdf=HQRj9a/1/SBCGQ4Nd+ObdQ==, pdfFileSize=822179, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=W/RqzL3PHVTGxfeQ/34DeA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=RljptQ0wvHlIQifiAQFvqA==, mapNumber=null, authorCompany=null, fund=null, authors=

刘明月(1999—),女,硕士在读,研究方向:流行病与卫生统计学

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刘明月(1999—),女,硕士在读,研究方向:流行病与卫生统计学

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刘明月(1999—),女,硕士在读,研究方向:流行病与卫生统计学

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Comparison of different multimorbidity trajectory groups among agricultural production operators($\bar{x}±s$), n(%), MP25P75)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量例数农业生产经营人员共病发展轨迹分组统计量P
无共病型(n=963)新增共病型(n=2 828)共病进展型(n=1 219)
年龄(岁)56.92±7.6155.74±7.7756.90±7.5957.90±7.3921.935a<0.001
性别
2 503499(19.94)1 436(57.37)568(22.69)7.6050.022
2 507464(18.51)1 392(55.52)651(25.97)
教育程度
小学及以下3 690659(17.86)2 082(56.42)949(25.72)25.844<0.001
初中984220(22.36)563(57.22)201(20.43)
高中及以上33684(25.00)183(54.46)69(20.54)
婚姻状况
未婚378(21.62)18(48.65)11(29.73)5.7830.448
已婚4 640904(19.48)2 613(56.31)1 123(24.20)
分居或离异303(10.00)17(56.67)10(33.33)
丧偶30348(15.84)180(59.41)75(24.75)
家庭年收入(元)1 311(0,12 130)2 400(0,15 267)2 570(0,13 380)2.212b0.110
吸烟
从不吸烟2 903554(19.08)1 615(55.63)734(25.28)41.280<0.001
已戒烟37051(13.78)189(51.08)130(35.14)
正在吸烟1 737358(20.61)1 024(58.95)355(20.44)
饮酒
喝酒,每月超过1次1 436303(21.10)828(57.66)305(21.24)12.4380.014
喝酒,每月不超1次40974(18.09)234(57.21)101(24.69)
从不饮酒3 165586(18.52)1 766(55.80)813(25.69)
饮食频率
每天4顿9117(18.68)58(63.74)16(17.58)2.7250.605
每天3顿4 252817(19.21)2 398(56.40)1 037(24.39)
每天2顿及以下667129(19.34)372(55.77)166(24.89)
剧烈活动
不超10 min2 533475(18.75)1 403(55.39)655(25.86)6.5150.038
超过10 min2 477488(19.70)1 425(57.53)564(22.77)
中体力活动
不超10 min1 957398(20.34)1 068(54.57)491(25.09)4.8360.089
超过10 min3 053565(18.51)1 760(57.65)728(23.85)
低体力活动
不超10 min884189(21.38)496(56.11)199(22.51)4.0850.130
超过10 min4 126774(18.76)2 332(56.52)1 020(24.72)
体质指数
体重过低38167(17.59)220(57.74)94(24.67)129.44<0.001
正常体重2 877640(22.25)1 679(58.36)558(19.40)
超重1 279207(16.18)685(53.56)387(30.26)
肥胖47349(10.36)244(51.59)180(38.05)
晚睡时长(h)
6~82 013448(22.26)1 145(56.88)420(20.86)65.297<0.001
≤62 578413(16.02)1 437(55.74)728(28.24)
>8419102(24.34)246(58.71)71(16.95)
午睡时长(min)
30~601 011196(19.39)561(55.49)254(25.12)1.1070.893
≤303 306640(19.36)1 874(56.68)792(23.96)
>60693127(18.33)393(56.71)173(24.96)
社会活动
不参与3 019567(18.78)1 729(57.27)723(23.95)2.1380.343
参与1 991396(19.89)1 099(55.20)496(24.91)
心理状态
28553(18.60)178(62.46)54(18.95)185.37<0.001
一般2 780658(23.67)1 597(57.45)525(18.88)
较差1 785242(13.56)976(54.68)567(31.76)
16010(6.25)77(48.13)73(45.63)
), ArticleFig(id=1240933509741736759, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=CN, label=表1, caption=

农业生产经营人员不同共病发展轨迹分组比较($\bar{x}±s$),n(%),MP25P75)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量例数农业生产经营人员共病发展轨迹分组统计量P
无共病型(n=963)新增共病型(n=2 828)共病进展型(n=1 219)
年龄(岁)56.92±7.6155.74±7.7756.90±7.5957.90±7.3921.935a<0.001
性别
2 503499(19.94)1 436(57.37)568(22.69)7.6050.022
2 507464(18.51)1 392(55.52)651(25.97)
教育程度
小学及以下3 690659(17.86)2 082(56.42)949(25.72)25.844<0.001
初中984220(22.36)563(57.22)201(20.43)
高中及以上33684(25.00)183(54.46)69(20.54)
婚姻状况
未婚378(21.62)18(48.65)11(29.73)5.7830.448
已婚4 640904(19.48)2 613(56.31)1 123(24.20)
分居或离异303(10.00)17(56.67)10(33.33)
丧偶30348(15.84)180(59.41)75(24.75)
家庭年收入(元)1 311(0,12 130)2 400(0,15 267)2 570(0,13 380)2.212b0.110
吸烟
从不吸烟2 903554(19.08)1 615(55.63)734(25.28)41.280<0.001
已戒烟37051(13.78)189(51.08)130(35.14)
正在吸烟1 737358(20.61)1 024(58.95)355(20.44)
饮酒
喝酒,每月超过1次1 436303(21.10)828(57.66)305(21.24)12.4380.014
喝酒,每月不超1次40974(18.09)234(57.21)101(24.69)
从不饮酒3 165586(18.52)1 766(55.80)813(25.69)
饮食频率
每天4顿9117(18.68)58(63.74)16(17.58)2.7250.605
每天3顿4 252817(19.21)2 398(56.40)1 037(24.39)
每天2顿及以下667129(19.34)372(55.77)166(24.89)
剧烈活动
不超10 min2 533475(18.75)1 403(55.39)655(25.86)6.5150.038
超过10 min2 477488(19.70)1 425(57.53)564(22.77)
中体力活动
不超10 min1 957398(20.34)1 068(54.57)491(25.09)4.8360.089
超过10 min3 053565(18.51)1 760(57.65)728(23.85)
低体力活动
不超10 min884189(21.38)496(56.11)199(22.51)4.0850.130
超过10 min4 126774(18.76)2 332(56.52)1 020(24.72)
体质指数
体重过低38167(17.59)220(57.74)94(24.67)129.44<0.001
正常体重2 877640(22.25)1 679(58.36)558(19.40)
超重1 279207(16.18)685(53.56)387(30.26)
肥胖47349(10.36)244(51.59)180(38.05)
晚睡时长(h)
6~82 013448(22.26)1 145(56.88)420(20.86)65.297<0.001
≤62 578413(16.02)1 437(55.74)728(28.24)
>8419102(24.34)246(58.71)71(16.95)
午睡时长(min)
30~601 011196(19.39)561(55.49)254(25.12)1.1070.893
≤303 306640(19.36)1 874(56.68)792(23.96)
>60693127(18.33)393(56.71)173(24.96)
社会活动
不参与3 019567(18.78)1 729(57.27)723(23.95)2.1380.343
参与1 991396(19.89)1 099(55.20)496(24.91)
心理状态
28553(18.60)178(62.46)54(18.95)185.37<0.001
一般2 780658(23.67)1 597(57.45)525(18.88)
较差1 785242(13.56)976(54.68)567(31.76)
16010(6.25)77(48.13)73(45.63)
), ArticleFig(id=1240933509859177275, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=EN, label=Table 2, caption=

Comparison of different multimorbidity trajectory groups among non-agricultural production operators[($\bar{x}±s$), n(%), MP25P75)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量例数非农业生产经营人员共病发展轨迹分组统计量P
无共病型
(n=890)
新增共病型
(n=2 025)
共病进展型
(n=1 658)
高共病增长型
(n=354)
年龄(岁)58.62±9.2356.24±9.0758.25±9.4059.97±8.9560.38±8.5037.698a<0.001
性别
2 133456(21.38)909(42.62)642(30.10)126(5.91)47.636<0.001
2 794434(15.53)1 116(39.94)1 016(36.36)228(8.16)
教育程度
小学及以下3 028468(15.46)1 249(41.25)1 080(35.67)231(7.63)43.434<0.001
初中1 127246(21.83)475(42.15)332(29.46)74(6.57)
高中及以上772176(22.80)301(38.99)246(31.87)49(6.35)
婚姻状况
未婚277(25.93)8(29.63)9(33.33)3(11.11)25.2540.003
已婚4 324789(18.25)1 812(41.91)1 422(32.89)301(6.96)
分居或离异6218(29.03)19(30.65)22(35.48)3(4.84)
丧偶51476(14.79)186(36.19)205(39.88)47(9.14)
家庭年收入(元)0(0,14 847)82(0,19 140)1 200(0,24 660)2 985(0,24 450)1.493b0.214
吸烟
从不吸烟3 204542(16.92)1 315(41.04)1 119(34.93)228(7.12)55.484<0.001
已戒烟36039(10.83)134(37.22)149(41.39)38(10.56)
正在吸烟1 363309(22.67)576(42.26)390(28.61)88(6.46)
饮酒
喝酒,每月超过1次1 079248(22.98)474(43.93)303(28.08)54(5.00)65.804<0.001
喝酒,每月不超1次36880(21.74)170(46.20)102(27.72)16(4.35)
从不饮酒3 480562(16.15)1 381(39.68)1 253(36.01)284(8.16)
饮食
每天4顿609(15.00)20(33.33)23(38.33)8(13.33)6.1000.412
每天3顿4 271779(18.24)1 765(41.33)1 423(33.32)304(7.12)
每天2顿及以下596102(17.11)240(40.27)212(35.57)42(7.05)
剧烈活动(min)
不超103 892648(16.65)1 588(40.80)1 359(34.92)297(7.63)34.878<0.001
超过101 035242(23.38)437(42.22)299(28.89)57(5.51)
中体力活动(min)
不超102 569435(16.93)1 028(40.02)882(34.33)224(8.72)23.669<0.001
超过102 358455(19.30)997(42.28)776(32.91)130(5.51)
低体力活动(min)
不超101 022177(17.32)424(41.49)347(33.95)74(7.24)0.4830.923
超过103 905713(18.26)1 601(41.00)1 311(33.57)280(7.17)
体重指数
体重过低40974(18.09)190(46.45)121(29.58)24(5.87)178.43<0.001
正常体重2 202473(21.48)965(43.82)670(30.43)94(4.27)
超重1 621274(16.90)648(39.98)567(34.98)132(8.14)
肥胖69569(9.93)222(31.94)300(43.17)104(14.96)
晚睡时长(h)
6~81 901391(20.57)819(43.08)587(30.88)104(5.47)53.004<0.001
≤62 665426(15.98)1 045(39.21)957(35.91)237(8.89)
>836173(20.22)161(44.60)114(31.58)13(3.60)
午睡时长(min)
30~601 014154(15.19)425(41.91)350(34.52)85(8.38)10.3200.112
≤303 306632(19.12)1 344(40.65)1 103(33.36)227(6.87)
>60607104(17.13)256(42.17)205(33.77)42(6.92)
社会活动
不参与2 588478(18.47)1 036(40.03)873(33.73)201(7.77)4.5920.204
参与2 339412(17.61)989(42.28)785(33.56)153(6.54)
心理状态
45086(19.11)209(46.44)126(28.00)29(6.44)244.92<0.001
一般2 753612(22.23)1 214(44.10)803(29.17)124(4.50)
较差1 600183(11.44)562(35.13)678(42.38)177(11.06)
1249(7.26)40(32.26)51(41.13)24(19.35)
), ArticleFig(id=1240933509985006400, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=CN, label=表2, caption=

非农业生产经营人员不同共病发展轨迹分组比较[($\bar{x}±s$),n(%),MP25P75)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量例数非农业生产经营人员共病发展轨迹分组统计量P
无共病型
(n=890)
新增共病型
(n=2 025)
共病进展型
(n=1 658)
高共病增长型
(n=354)
年龄(岁)58.62±9.2356.24±9.0758.25±9.4059.97±8.9560.38±8.5037.698a<0.001
性别
2 133456(21.38)909(42.62)642(30.10)126(5.91)47.636<0.001
2 794434(15.53)1 116(39.94)1 016(36.36)228(8.16)
教育程度
小学及以下3 028468(15.46)1 249(41.25)1 080(35.67)231(7.63)43.434<0.001
初中1 127246(21.83)475(42.15)332(29.46)74(6.57)
高中及以上772176(22.80)301(38.99)246(31.87)49(6.35)
婚姻状况
未婚277(25.93)8(29.63)9(33.33)3(11.11)25.2540.003
已婚4 324789(18.25)1 812(41.91)1 422(32.89)301(6.96)
分居或离异6218(29.03)19(30.65)22(35.48)3(4.84)
丧偶51476(14.79)186(36.19)205(39.88)47(9.14)
家庭年收入(元)0(0,14 847)82(0,19 140)1 200(0,24 660)2 985(0,24 450)1.493b0.214
吸烟
从不吸烟3 204542(16.92)1 315(41.04)1 119(34.93)228(7.12)55.484<0.001
已戒烟36039(10.83)134(37.22)149(41.39)38(10.56)
正在吸烟1 363309(22.67)576(42.26)390(28.61)88(6.46)
饮酒
喝酒,每月超过1次1 079248(22.98)474(43.93)303(28.08)54(5.00)65.804<0.001
喝酒,每月不超1次36880(21.74)170(46.20)102(27.72)16(4.35)
从不饮酒3 480562(16.15)1 381(39.68)1 253(36.01)284(8.16)
饮食
每天4顿609(15.00)20(33.33)23(38.33)8(13.33)6.1000.412
每天3顿4 271779(18.24)1 765(41.33)1 423(33.32)304(7.12)
每天2顿及以下596102(17.11)240(40.27)212(35.57)42(7.05)
剧烈活动(min)
不超103 892648(16.65)1 588(40.80)1 359(34.92)297(7.63)34.878<0.001
超过101 035242(23.38)437(42.22)299(28.89)57(5.51)
中体力活动(min)
不超102 569435(16.93)1 028(40.02)882(34.33)224(8.72)23.669<0.001
超过102 358455(19.30)997(42.28)776(32.91)130(5.51)
低体力活动(min)
不超101 022177(17.32)424(41.49)347(33.95)74(7.24)0.4830.923
超过103 905713(18.26)1 601(41.00)1 311(33.57)280(7.17)
体重指数
体重过低40974(18.09)190(46.45)121(29.58)24(5.87)178.43<0.001
正常体重2 202473(21.48)965(43.82)670(30.43)94(4.27)
超重1 621274(16.90)648(39.98)567(34.98)132(8.14)
肥胖69569(9.93)222(31.94)300(43.17)104(14.96)
晚睡时长(h)
6~81 901391(20.57)819(43.08)587(30.88)104(5.47)53.004<0.001
≤62 665426(15.98)1 045(39.21)957(35.91)237(8.89)
>836173(20.22)161(44.60)114(31.58)13(3.60)
午睡时长(min)
30~601 014154(15.19)425(41.91)350(34.52)85(8.38)10.3200.112
≤303 306632(19.12)1 344(40.65)1 103(33.36)227(6.87)
>60607104(17.13)256(42.17)205(33.77)42(6.92)
社会活动
不参与2 588478(18.47)1 036(40.03)873(33.73)201(7.77)4.5920.204
参与2 339412(17.61)989(42.28)785(33.56)153(6.54)
心理状态
45086(19.11)209(46.44)126(28.00)29(6.44)244.92<0.001
一般2 753612(22.23)1 214(44.10)803(29.17)124(4.50)
较差1 600183(11.44)562(35.13)678(42.38)177(11.06)
1249(7.26)40(32.26)51(41.13)24(19.35)
), ArticleFig(id=1240933510094058311, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=EN, label=Table 3, caption=

Applicability of the optimal trajectory model

, figureFileSmall=null, figureFileBig=null, tableContent=
轨迹组轨迹形状Aveep%组内例数PjπjOCC Ej
农业生产经营人员
无共病型1阶93.2596319.2218.8859.40.817
新增共病型3阶91.122 82856.4554.668.5
共病进展型3阶92.071 21924.3326.4632.3
非农业生产经营人员
无共病型3阶92.0289018.0616.9656.40.785
新增共病型3阶89.662 02541.1042.0312.0
共病进展型3阶83.311 65833.6533.0710.1
高共病增长型3阶84.393547.187.9462.7
), ArticleFig(id=1240933510215693131, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=CN, label=表3, caption=

最佳轨迹模型适用性

, figureFileSmall=null, figureFileBig=null, tableContent=
轨迹组轨迹形状Aveep%组内例数PjπjOCC Ej
农业生产经营人员
无共病型1阶93.2596319.2218.8859.40.817
新增共病型3阶91.122 82856.4554.668.5
共病进展型3阶92.071 21924.3326.4632.3
非农业生产经营人员
无共病型3阶92.0289018.0616.9656.40.785
新增共病型3阶89.662 02541.1042.0312.0
共病进展型3阶83.311 65833.6533.0710.1
高共病增长型3阶84.393547.187.9462.7
), ArticleFig(id=1240933510345716565, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=EN, label=Table 4, caption=

Logistic regression analysis variable assignment

, figureFileSmall=null, figureFileBig=null, tableContent=
变量赋值
性别男=1,女=1
教育程度小学及以下=1,初中=2,高中及以上=3
婚姻状况未婚=1,已婚=2,分居或离异=3,丧偶=4
吸烟从不吸烟=0,已戒烟=1,正在吸烟=2
饮酒喝酒,每月超过1次=1,喝酒,每月不超1次=2,从不饮酒=3
饮食频率每天4顿=1,每天3顿=2,每天2顿及以下=3
剧烈活动不超过10 min=0,超过10 min=1
中体力活动不超过10 min=0,超过10 min=1
低体力活动不超过10 min=0,超过10 min=1
体质指数体重过低=1,正常体重=2,超重=3,肥胖=4
晚睡时长(h)6~8=1,≤6=2,>8=3
午睡时长(min)30~60=1,≤30=2,>6 0=3
社会活动不参与=0,参与=1
心理状态好=1,一般=2,较差=3,差=4
共病发展轨迹无共病型=1,新增共病型=2,共病进展型=3,高共病增长型=4
), ArticleFig(id=1240933510429602651, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=CN, label=表4, caption=

Logistic回归分析变量赋值

, figureFileSmall=null, figureFileBig=null, tableContent=
变量赋值
性别男=1,女=1
教育程度小学及以下=1,初中=2,高中及以上=3
婚姻状况未婚=1,已婚=2,分居或离异=3,丧偶=4
吸烟从不吸烟=0,已戒烟=1,正在吸烟=2
饮酒喝酒,每月超过1次=1,喝酒,每月不超1次=2,从不饮酒=3
饮食频率每天4顿=1,每天3顿=2,每天2顿及以下=3
剧烈活动不超过10 min=0,超过10 min=1
中体力活动不超过10 min=0,超过10 min=1
低体力活动不超过10 min=0,超过10 min=1
体质指数体重过低=1,正常体重=2,超重=3,肥胖=4
晚睡时长(h)6~8=1,≤6=2,>8=3
午睡时长(min)30~60=1,≤30=2,>6 0=3
社会活动不参与=0,参与=1
心理状态好=1,一般=2,较差=3,差=4
共病发展轨迹无共病型=1,新增共病型=2,共病进展型=3,高共病增长型=4
), ArticleFig(id=1240933510530265950, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=EN, label=Table 5, caption=

Logistic regression analysis of different multimorbidity trajectory groups among agricultural and non-agricultural production operators

, figureFileSmall=null, figureFileBig=null, tableContent=
变量农业生产经营人员非农业生产经营人员
新增共病型vs.无共病型共病进展型vs.无共病型新增共病型vs.无共病型共病进展型vs.无共病型高共病增长型vs.无共病型
OR(95%CI)POR(95%CI)POR(95%CI)POR(95%CI)POR(95%CI)P
年龄1.021(1.010~1.033)<0.0011.042(1.029~1.056)<0.0011.024(1.014~1.035)<0.0011.046(1.035~1.058)<0.0011.054(1.037~1.072)<0.001
性别(ref:男)
0.948(0.753~1.193)0.6460.860(0.655~1.129)0.2781.083(0.855~1.372)0.5061.195(0.929~1.537)0.1661.473(0.996~2.178)0.052
教育程度(ref:小学及以下)
初中0.900(0.741~1.093)0.2860.804(0.632~1.023)0.0760.841(0.687~1.028)0.0910.803(0.645~0.998)0.0480.915(0.652~1.284)0.608
高中及以上0.783(0.588~1.044)0.0960.748(0.521~1.074)0.1160.750(0.595~0.945)0.0150.901(0.704~1.154)0.4101.016(0.684~1.510)0.936
婚姻状况
(ref:已婚)
未婚0.446(0.158~1.259)0.1270.656(0.230~1.875)0.4320.991(0.228~4.318)0.991
分居或离异0.494(0.256~0.955)0.0360.772(0.396~1.503)0.4460.520(0.143~1.882)0.319
丧偶0.730(0.539~0.990)0.0430.783(0.575~1.067)0.1220.761(0.492~1.179)0.221
吸烟(ref:从不吸烟)
已戒烟1.289(0.899~1.849)0.1671.931(1.295~2.879)0.0011.549(1.037~2.315)0.0332.367(1.571~3.566)<0.0014.024(2.314~6.998)<0.001
正在吸烟1.070(0.858~1.333)0.5500.960(0.736~1.252)0.7640.892(0.709~1.123)0.3330.952(0.742~1.221)0.6991.518(1.030~2.236)0.035
饮酒(ref:从不饮酒)
喝酒,每月超过1次0.892(0.738~1.079)0.2390.765(0.608~0.962)0.0220.962(0.774~1.197)0.7310.762(0.601~0.966)0.0250.590(0.400~0.870)0.008
喝酒,每月不超1次1.062(0.796~1.418)0.6821.055(0.750~1.483)0.7580.961(0.715~1.292)0.7920.685(0.493~0.952)0.0240.504(0.281~0.904)0.021
剧烈活动(ref:不超10 min)
超过10 min1.031(0.887~1.198)0.6910.935(0.781~1.119)0.4620.803(0.661~0.974)0.0260.733(0.593~0.906)0.0040.769(0.541~1.094)0.144
中体力活动(ref:不超10 min)
超过10 min1.029(0.871~1.215)0.7381.015(0.850~1.211)0.8730.683(0.518~0.900)0.007
体重指数(ref:正常体重)
体重过低1.161(0.867~1.555)0.3171.408(0.996~1.991)0.0531.109(0.823~1.494)0.4980.911(0.656~1.265)0.5771.120(0.657~1.910)0.677
超重1.368(1.138~1.646)<0.0012.487(2.008~3.081)<0.0011.192(0.993~1.432)0.0601.601(1.317~1.946)<0.0012.895(2.106~3.980)<0.001
肥胖2.205(1.591~3.055)<0.0015.577(3.928~7.919)<0.0011.626(1.209~2.188)0.0013.440(2.553~4.635)<0.0019.509(6.388~14.154)<0.001
晚睡时长(ref:6~8h)
≤6 h1.234(1.052~1.447)0.0101.582(1.307~1.914)<0.0011.044(0.877~1.243)0.6271.255(1.042~1.512)0.0161.651(1.235~2.207)<0.001
>8 h0.899(0.694~1.165)0.4230.684(0.485~0.964)0.0300.958(0.705~1.303)0.7860.914(0.654~1.277)0.5970.604(0.316~1.153)0.126
心理状态(ref:好)
一般0.752(0.542~1.044)0.0890.814(0.540~1.229)0.3280.754(0.566~1.005)0.0540.755(0.550~1.035)0.0810.510(0.311~0.836)0.008
较差1.236(0.877~1.741)0.2272.379(1.561~3.624)<0.0011.152(0.842~1.576)0.3762.106(1.505~2.946)<0.0012.436(1.485~3.995)<0.001
2.284(1.098~4.749)0.0276.870(3.156~14.955)<0.0011.586(0.732~3.435)0.2423.044(1.405~6.591)0.0056.396(2.595~15.764)<0.001
), ArticleFig(id=1240933510626734948, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1240722575152697803, language=CN, label=表5, caption=

农业经营人员和非农业生产经营人员不同共病发展轨迹的logistic回归

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变量农业生产经营人员非农业生产经营人员
新增共病型vs.无共病型共病进展型vs.无共病型新增共病型vs.无共病型共病进展型vs.无共病型高共病增长型vs.无共病型
OR(95%CI)POR(95%CI)POR(95%CI)POR(95%CI)POR(95%CI)P
年龄1.021(1.010~1.033)<0.0011.042(1.029~1.056)<0.0011.024(1.014~1.035)<0.0011.046(1.035~1.058)<0.0011.054(1.037~1.072)<0.001
性别(ref:男)
0.948(0.753~1.193)0.6460.860(0.655~1.129)0.2781.083(0.855~1.372)0.5061.195(0.929~1.537)0.1661.473(0.996~2.178)0.052
教育程度(ref:小学及以下)
初中0.900(0.741~1.093)0.2860.804(0.632~1.023)0.0760.841(0.687~1.028)0.0910.803(0.645~0.998)0.0480.915(0.652~1.284)0.608
高中及以上0.783(0.588~1.044)0.0960.748(0.521~1.074)0.1160.750(0.595~0.945)0.0150.901(0.704~1.154)0.4101.016(0.684~1.510)0.936
婚姻状况
(ref:已婚)
未婚0.446(0.158~1.259)0.1270.656(0.230~1.875)0.4320.991(0.228~4.318)0.991
分居或离异0.494(0.256~0.955)0.0360.772(0.396~1.503)0.4460.520(0.143~1.882)0.319
丧偶0.730(0.539~0.990)0.0430.783(0.575~1.067)0.1220.761(0.492~1.179)0.221
吸烟(ref:从不吸烟)
已戒烟1.289(0.899~1.849)0.1671.931(1.295~2.879)0.0011.549(1.037~2.315)0.0332.367(1.571~3.566)<0.0014.024(2.314~6.998)<0.001
正在吸烟1.070(0.858~1.333)0.5500.960(0.736~1.252)0.7640.892(0.709~1.123)0.3330.952(0.742~1.221)0.6991.518(1.030~2.236)0.035
饮酒(ref:从不饮酒)
喝酒,每月超过1次0.892(0.738~1.079)0.2390.765(0.608~0.962)0.0220.962(0.774~1.197)0.7310.762(0.601~0.966)0.0250.590(0.400~0.870)0.008
喝酒,每月不超1次1.062(0.796~1.418)0.6821.055(0.750~1.483)0.7580.961(0.715~1.292)0.7920.685(0.493~0.952)0.0240.504(0.281~0.904)0.021
剧烈活动(ref:不超10 min)
超过10 min1.031(0.887~1.198)0.6910.935(0.781~1.119)0.4620.803(0.661~0.974)0.0260.733(0.593~0.906)0.0040.769(0.541~1.094)0.144
中体力活动(ref:不超10 min)
超过10 min1.029(0.871~1.215)0.7381.015(0.850~1.211)0.8730.683(0.518~0.900)0.007
体重指数(ref:正常体重)
体重过低1.161(0.867~1.555)0.3171.408(0.996~1.991)0.0531.109(0.823~1.494)0.4980.911(0.656~1.265)0.5771.120(0.657~1.910)0.677
超重1.368(1.138~1.646)<0.0012.487(2.008~3.081)<0.0011.192(0.993~1.432)0.0601.601(1.317~1.946)<0.0012.895(2.106~3.980)<0.001
肥胖2.205(1.591~3.055)<0.0015.577(3.928~7.919)<0.0011.626(1.209~2.188)0.0013.440(2.553~4.635)<0.0019.509(6.388~14.154)<0.001
晚睡时长(ref:6~8h)
≤6 h1.234(1.052~1.447)0.0101.582(1.307~1.914)<0.0011.044(0.877~1.243)0.6271.255(1.042~1.512)0.0161.651(1.235~2.207)<0.001
>8 h0.899(0.694~1.165)0.4230.684(0.485~0.964)0.0300.958(0.705~1.303)0.7860.914(0.654~1.277)0.5970.604(0.316~1.153)0.126
心理状态(ref:好)
一般0.752(0.542~1.044)0.0890.814(0.540~1.229)0.3280.754(0.566~1.005)0.0540.755(0.550~1.035)0.0810.510(0.311~0.836)0.008
较差1.236(0.877~1.741)0.2272.379(1.561~3.624)<0.0011.152(0.842~1.576)0.3762.106(1.505~2.946)<0.0012.436(1.485~3.995)<0.001
2.284(1.098~4.749)0.0276.870(3.156~14.955)<0.0011.586(0.732~3.435)0.2423.044(1.405~6.591)0.0056.396(2.595~15.764)<0.001
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中老年农业生产经营人员与非农业生产经营人员共病发展轨迹比较分析
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刘明月 1, 2 , 陈新洋 1, 2 , 马雪 1, 2 , 张梦 1, 2 , 许向辉 3 , 耿博雯 1 , 张芮溪 1 , 李小明 1, 2
现代预防医学 | 基层卫生服务 2025,52(19): 3559-3567
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现代预防医学 | 基层卫生服务 2025, 52(19): 3559-3567
中老年农业生产经营人员与非农业生产经营人员共病发展轨迹比较分析
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刘明月1, 2, 陈新洋1, 2, 马雪1, 2, 张梦1, 2, 许向辉3, 耿博雯1, 张芮溪1, 李小明1, 2
作者信息
  • 1.华北理工大学公共卫生学院,河北 唐山 063210
  • 2.河北省煤矿卫生与安全重点实验室,河北 唐山 063000
  • 3.华北理工大学医院
  • 刘明月(1999—),女,硕士在读,研究方向:流行病与卫生统计学

通讯作者:

李小明,E-mail:
Comparative analysis of multimorbidity progression trajectories between middle-aged and elderly agricultural and non-agricultural workers
Ming-yue LIU1, 2, Xin-yang CHEN1, 2, Xue MA1, 2, Meng ZHANG1, 2, Xiang-hui XU3, Bo-wen GENG1, Rui-xi ZHANG1, Xiao-ming LI1, 2
Affiliations
  • School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China
出版时间: 2025-10-10 doi: 10.20043/j.cnki.MPM.202505446
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目的 分析中老年农业与非农业生产经营人员慢性病共病轨迹差异及影响因素。方法 基于中国健康与养老追踪调查(China Health and Retirement Longitudinal Survey,CHARLS)2011—2020年五波数据,采用组基轨迹模型拟合两类人群共病发展轨迹,logistic回归分析不同轨迹组的影响因素。结果 纳入研究对象9 937例,农业生产经营人员5 010例,非农业生产经营人员4 927例。农业人员无共病型963例(19.22%)、新增共病型2 828例(56.45%)、共病进展型1 219例(24.33%);非农业人员无共病型890例(18.06%)、新增共病型2 025例(41.10%)、共病进展型1 658例(33.65%)、高共病增长型354例(7.18%)。年龄增长、肥胖、晚间睡眠≤6 h、心理状态差显著增高两类人群共病风险(P<0.05)。农业生产经营人员超重(OR=1.37,95%CI:1.14~1.65;OR=2.49,95%CI:2.01~3.08)、肥胖(OR=2.21,95%CI:1.59~3.06;OR=5.58,95%CI:3.93~7.92)显著增加共病风险。非农业人员高教育程度降低新增共病风险(OR=0.75,95%CI:0.60~0.95),中等体力活动降低高共病增长风险(OR=0.68,95%CI:0.52~0.90),已戒烟增加共病增长风险(OR= 1.55,95%CI:1.04~2.32;OR=2.37,95%CI:1.57~3.57;OR=4.02,95%CI:2.31~7.00)。结论 农业人群以新增共病型为主,受肥胖和睡眠不足驱动;非农人群高共病增长型与心理状态差及戒烟后健康恶化相关。需针对农业人群加强体重和睡眠管理,非农人群侧重心理健康及戒烟后监测,以降低共病风险。

农业生产经营人员  /  非农业生产经营人员  /  共病  /  组基轨迹模型

Objective To analyze the differences in chronic disease multimorbidity trajectories and influencing factors between middle-aged and elderly agricultural and non-agricultural production operators. Methods Data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020 were used. Group-based trajectory modeling (GBTM) was applied to fit multimorbidity trajectories for both groups, and multivariable logistic regression analysis was conducted to identify factors influencing the trajectory groups. Results A total of 9 937 participants were included, with 5 010 in the agricultural group and 4 927 in the non-agricultural group. In the agricultural group, the multimorbidity trajectories were classified into three patterns: no-multimorbidity (19.22%, 963 cases), new-onset multimorbidity (56.45%,2 828 cases), and progressive multimorbidity (24.33%, 1 219 cases). In the non-agricultural group, four patterns were identified: no-multimorbidity (18.06%, 890 cases), new-onset multimorbidity (41.10%, 2 025 cases), progressive multimorbidity (33.65%, 1 658 cases), and high-growth multimorbidity (7.18%, 354 cases). Increasing age, obesity, sleep duration ≤6 hours, and poor psychological status significantly increased the risk of multimorbidity in both groups (P<0.05). Among agricultural group, overweight (OR=1.37, 95% CI: 1.14-1.65; OR=2.49, 95% CI: 2.01-3.08) and obesity(OR=2.21, 95%CI: 1.59-3.06; OR=5.58, 95% CI: 3.93-7.92) significantly increased the risks of multimorbidity. In the non-agricultural group, higher education levels reduced the risk of new-onset multimorbidity(OR=0.75, 95% CI: 0.60-0.95), and moderate physical activity decreased the risk of high-growth multimorbidity(OR=0.68, 95% CI: 0.52-0.90). Smoking cessation was significantly associated with increased risks of multimorbidity (OR=1.55, 95% CI: 1.04-2.32; OR=2.37, 95% CI: 1.57-3.57; OR=4.02, 95%CI: 2.31-7.00). Conclusion In agricultural populations, the new-onset multimorbidity type is dominant, driven by obesity and insufficient sleep. In non-agricultural populations, the high-growth multimorbidity type is associated with poor psychological status and health deterioration after smoking cessation. It is necessary to strengthen weight and sleep management for agricultural populations and focus on mental health as well as post-cessation monitoring for non-agricultural populations to reduce the risk of multimorbidity.

Agricultural production operators  /  Non-agricultural production operators  /  Multimorbidity  /  Group-based trajectory modeling
刘明月, 陈新洋, 马雪, 张梦, 许向辉, 耿博雯, 张芮溪, 李小明. 中老年农业生产经营人员与非农业生产经营人员共病发展轨迹比较分析. 现代预防医学, 2025 , 52 (19) : 3559 -3567 . DOI: 10.20043/j.cnki.MPM.202505446
Ming-yue LIU, Xin-yang CHEN, Xue MA, Meng ZHANG, Xiang-hui XU, Bo-wen GENG, Rui-xi ZHANG, Xiao-ming LI. Comparative analysis of multimorbidity progression trajectories between middle-aged and elderly agricultural and non-agricultural workers[J]. Modern Preventive Medicine, 2025 , 52 (19) : 3559 -3567 . DOI: 10.20043/j.cnki.MPM.202505446
随着我国人口老龄化进程加快,中老年人慢性病共病问题突出。我国60岁及以上老年人中,超75%至少患有一种慢性病,共病患病率高达43.6%[1]。共病显著增加中老年人致残率和死亡率[2],给个人、家庭及社会带来沉重负担[3]。我国农业生产经营人员3.14亿人,占总人口的22.5%[4],其健康备受关注。非农业生产经营人员与农业生产经营人员因职业属性差异,其共病发生风险可能存在明显差异。农业人员长期暴露于农药等复杂自然环境,从事高强度体力劳动,且医疗资源可及性低[5-7],这使得农村老年人群共病患病率较城市高7.9%[8]。非农业生产经营人员主要面临工作压力和不健康生活方式等风险[9],其共病发展可能呈现不同特征。既往研究多聚焦于单一人群,缺乏对农业与非农业生产经营人员两类人群共病发展轨迹[10]的动态变化对比分析。鉴于其在职业环境、生活方式及医疗资源可及性方面的显著差异,共病发展轨迹可能呈现出不同特点,本研究采用组基轨迹模型识别两类人群共病发展轨迹及差异,分析不同轨迹的影响因素,为针对中老年人共病预防策略提供科学依据,助力健康老龄化战略实施,对精准防控意义重大。
数据选自中国健康与养老追踪调查(China Health and Retirement Longitudinal Survey,CHARLS),本研究选取参与CHARLS基线调查和四波随访调查(2011—2020年)的中老年人为研究对象。纳入标准:(1)年龄≥45岁;(2)完整参与2011—2020年五波慢性病患病问卷调查;(3)基线时参与农业生产经营活动相关问卷调查。排除标准:个人基本信息变量及健康状况缺失者。CHARLS各轮调查均获得了北京大学生物医学伦理委员会的批准(批准号:IRB00001052-11015),研究对象均签署知情同意书。
调取研究对象的基本信息、行为生活方式、健康状态和体格检查相关指标。
根据国家统计局第三次全国农业普查主要数据公报(第一号)[11]并结合CHARLS农业生产经营活动相关问卷,将人群分为农业生产经营人员和非农业生产经营人员。
本研究采用世界卫生组织对共病的定义,即同时患二种及以上慢性疾病为患有共病;不患或仅患一种慢性疾病为非共病[12]。截至2020年第五波调查,CHARLS数据库共记录了15种慢性病,包括高血压、血脂异常、糖尿病、癌症、慢性肺部疾患、肝脏疾病、心脏病、中风、肾脏疾病、胃部疾病或消化系统疾病、情感及精神方面问题、与记忆相关的疾病、帕金森、关节炎或风湿病、哮喘。
除身体质量指数(body mass index,BMI)和心理状态外,其余变量均采用CHARLS数据库中2011年问卷定义的变量。根据现行《成年人体重判定》(WS/T 428—2013)行业标准对BMI分类,将BMI计算结果划分为体重过低(<18.5 kg/m2)、正常体重(18.5~23.9 kg/m2)、超重(24.0~27.9 kg/m2)和肥胖(≥28.0 kg/m2)。心理状态通过研究对象回答“感觉及行为”问题的选项进行定义,很少或者根本没有(<1 d)为1分,不太多(1~2 d)为2分,有时或有一般的时间(3~4 d)为3分,大多数的时间(5~7)d为4分。关于感觉及行为的问题共10题,总分为10~40分。本研究将10分定义为心理状态好,11~20分定义为心理状态一般,21~30分为心理状态较差,31~40分为心理状态差。
(1)将慢性病患病数量定义为组基轨迹模型中的因变量,采用零膨胀泊松模型拟合发展轨迹。(2)确定最优轨迹组数。设定轨迹组多项式函数的阶次为3,分别拟合1~5组,以贝叶斯信息准则(Bayesian information criterion,BIC)评价模型拟合效果,BIC绝对值最小的组数为最优组数。(3)确定各轨迹组的曲线形态。设定最优组数为中老年人轨迹分析组数,以每组的多项式函数阶数为3作为基准绘制轨迹曲线,结合图像进一步调整各个轨迹组阶数的组合形式。(4)模型评价即检验拟合准确性。平均后验概率(average posterior probability,AvePP)>0.7表示模型拟合良好;估计组成员数应大于总样本量的5%;正确分类优势(odds of correct classification,OCC)>5表示模型的分类效果较好,显著优于随机分配。
使用Stata 17.0和Sas 9.4软件进行数据筛选和分析。符合正态分布的连续变量采用()进行统计描述,组间比较采用基于F分布的右侧单尾检验,不符合正态分布的计量资料采用[MP25P75)]描述,组间比较采用非参数检验。分类变量采用率或构成比描述,组间比较采用χ2检验。采用组基轨迹模型拟合农业组和非农业组中老年人2011—2020年共病发展轨迹,采用无序多分类logistic回归进行多因素分析。检验水准α=0.05。
最终纳入研究对象9 937例,农业生产经营人员5 010例,非农业生产经营人员4 927例。农业生产经营人员年龄为(56.92±7.61)岁,男性2 503例(49.96%),女性2 507例(50.04%)。无共病型研究对象963例,占19.22%,新增共病型2 828例,占56.45%,共病进展型1 219例,占24.33%。见表1。非农业生产经营人员年龄为(58.62±9.23)岁,男性2 133例(43.29%),女性2 794例(56.71%)。无共病型890例,占18.06%,新增共病型2 025例,占41.10%,共病进展型1 658例,占33.65%,高共病增长型354例,占7.18%。见表2
农业生产经营人员的最优轨迹为三组,多项式阶数分别为(1,3,3),非农业生产经营人员的最优轨迹为四组,多项式阶数分别为(3,3,3,3)。根据轨迹形态和专业知识将各组进行命名,分别是无共病型、新发展型、持续发展型和高共病增长型。无共病型指患病数基本稳定在0或1左右,即随访期间未出现共病。新增共病型指患病数从约1个缓慢上升至约2个,即随访期间逐渐新增共病。共病进展型指患病数从约2个上升至约4个,即共病数量在随访期间逐渐增加,共病程度有所加重。高共病增长型指患病数从约4个迅速上升至约6个,即共病数量在随访期间快速增长,共病负担急剧加重。最佳轨迹模型适用性结果见表3,轨迹图见图12
农业生产经营者与非农业生产经营者不同共病轨迹分组在不同年龄、性别、教育程度、吸烟、饮酒、BMI、体力活动、睡眠时长、心理状态方面均存在显著差异(P<0.05)。见表12
纳入单因素分析中差异有统计学意义的变量为自变量进行无序多分类logistic回归,赋值见表4。农业生产经营人员中,年龄增长(OR=1.021,95%CI:1.010~1.033)、超重(OR=1.368,95%CI:1.138~1.646)、肥胖(OR=2.205,95%CI:1.591~3.055)、晚间睡眠时长≤6 h(OR=1.234,95%CI:1.052~1.447)、心理状态差(OR=2.284,95%CI:1.098~4.749)是新增共病型的显著危险因素;而共病进展型除上述因素外,已戒烟者的风险显著升高(OR=1.931,95%CI:1.295~2.879)。非农业生产经营人员中,高中及以上学历(OR=0.750,95%CI:0.595~0.945)、剧烈活动超过10 min(OR=0.733,95%CI:0.593~0.906)为无共病型的保护因素,而年龄增长(OR=1.054,95%CI:1.037~1.072)、已戒烟状态(OR=4.024,95%CI:2.314~6.998)、肥胖(OR=9.509,95%CI:6.388~14.154)、晚间睡眠时长≤6 h(OR= 1.651,95%CI:1.235~2.207)及心理状态差(OR= 6.396,95%CI:2.595~15.764)则显著增加各类共病风险,其中高共病增长型风险最高。适量饮酒(OR= 0.504,95%CI:0.281~0.904)和中度体力活动(OR= 0.683,95%CI:0.518~0.900)对非农人群无共病型具有保护作用。见表5
本研究基于CHARLS数据库2011—2020年纵向数据,采用组基轨迹模型系统分析中老年农业与非农业生产经营人员的共病发展轨迹的异质性。本研究结果与既往研究一致,职业属性差异对共病发展轨迹有重要影响[13-14]。值得注意的是,两类人群“无共病型”比例均少于20%,凸显我国的中老年慢性病防控形势严峻[15]。7.18%的非农业生产经营人员患慢性病的个数逐渐从4个升至6个,可能与其特有的工作压力与不健康生活方式等相关[16],提示在公共卫生干预中应当针对高风险人群实施重点防控,特别是对已出现多种共病的个体进行早期干预,以阻断疾病的快速进展
多因素分析显示,年龄是影响两类人群共病发展轨迹的共同危险因素,随着年龄的增长,身体机能下降、免疫系统衰退[17],提示要加强全生命周期健康管理。戒烟史在两类人群中均显著提升共病风险,这一“戒烟悖论”现象可能与中老年人群戒烟时的健康状态选择性有关[18]。体质指数显著影响两类人群的共病发展轨迹,在农业人群中,肥胖者共病进展型的风险最高;非农人群肥胖者高共病增长型的风险为突出,与Guo等[19]关于BMI与慢性病累积的研究结论一致。晚间睡眠不足6 h作为可干预的危险因素,在两类人群中均效应显著。睡眠不足会扰乱免疫及代谢功能[20],SANG等[21]发现睡眠剥夺可激活外周炎症反应,导致全身性“细胞因子风暴”,增加患病风险。体力劳动、环境因素、工作压力和不规律作息均会导致睡眠问题[22]。改善中老年人睡眠时长和质量,对预防共病意义重大。心理状态会显著影响慢性病患病以及共病的发生发展,创伤等心理状态可通过激活HPA轴诱导慢性炎症及促进血小板聚集等机制增加心血管疾病风险,并与代谢性、呼吸系统等疾病形成共病网络[23],心理应激通过多系统交互导致共病发展。
农业与非农业人员共病发展轨迹的影响因素存在差异。农业人员教育程度[24]、体力活动强度[25]等对共病发展轨迹的影响更为显著。一方面,较低的教育水平限制了健康素养和医疗资源获取能力;另一方面,长期高强度农业劳作可能导致累积性身体损伤,影响共病发展轨迹。相比之下,非农人员更易受到工作压力、心理状态及生活方式等因素的影响。工作压力和不健康的生活方式,导致其心理状态差和代谢紊乱[26],免疫功能失调,进而增加共病风险。这些发现提示,在制定共病防控策略时,既要针对共同危险因素采取基础干预,也需要根据职业特点实施精准防控。
本研究存在一些局限性。首先,研究数据来源于CHARLS数据库,可能存在信息偏倚和混杂偏倚。其次,组基轨迹模型的分析结果可能受到模型假设和参数设置的影响,需进一步验证。最后,本研究未深入探讨共病发展轨迹的生物学机制,后续研究可结合生物学标志物进行深入分析。
本研究为深入理解中老年农业生产经营人员与非农业生产经营人员共病发展轨迹的差异及其影响因素提供了新的视角,这些发现对于实施分类指导、精准防控的公共卫生实践具有直接指导价值,将有效助力“健康中国2030”战略框架下的健康老龄化目标实现。
  • 国家科技部重点研发项目(2016YFC0900605)
  • 河北省高等学校科学技术研究项目(QNA2019190)
  • 唐山市市级科技计划项目(22130234H)
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2025年第52卷第19期
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doi: 10.20043/j.cnki.MPM.202505446
  • 接收时间:2025-05-26
  • 首发时间:2026-03-17
  • 出版时间:2025-10-10
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  • 收稿日期:2025-05-26
基金
国家科技部重点研发项目(2016YFC0900605)
河北省高等学校科学技术研究项目(QNA2019190)
唐山市市级科技计划项目(22130234H)
作者信息
    1.华北理工大学公共卫生学院,河北 唐山 063210
    2.河北省煤矿卫生与安全重点实验室,河北 唐山 063000
    3.华北理工大学医院

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李小明,E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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