Mental-somatic multimorbidity in trajectories of cognitive function for middle-aged and older adults

被引:2
|
作者
Chen, Siting [1 ]
Nagel, Corey L. [2 ]
Liu, Ruotong [3 ]
Botoseneanu, Anda [4 ,5 ]
Allore, Heather G. [6 ,7 ]
Newsom, Jason T. [8 ]
Thielke, Stephen [9 ]
Kaye, Jeffrey [10 ]
Quinones, Ana R. [1 ,3 ]
机构
[1] OHSU PSU Sch Publ Hlth, Portland, OR 97239 USA
[2] Univ Arkansas Med Sci, Coll Nursing, Little Rock, AR USA
[3] Oregon Hlth & Sci Univ, Dept Family Med, Portland, OR 97239 USA
[4] Univ Michigan, Dept HHS, Dearborn, MI USA
[5] Univ Michigan, Inst Gerontol, Ann Arbor, MI USA
[6] Yale Univ, Dept Internal Med, New Haven, CT USA
[7] Yale Univ, Dept Biostat, New Haven, CT USA
[8] Portland State Univ, Dept Psychol, Portland, OR USA
[9] Univ Washington, Dept Psychiat & Behav Sci, Seattle, WA USA
[10] Oregon Hlth & Sci Univ, Dept Neurol, Portland, OR USA
来源
PLOS ONE | 2024年 / 19卷 / 05期
基金
美国国家卫生研究院;
关键词
LATE-LIFE; DEPRESSION; DISABILITY; PREDICTORS; COMBINATIONS; DISPARITIES; IMPAIRMENT; DEMENTIA; DECLINE; DISEASE;
D O I
10.1371/journal.pone.0303599
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction Multimorbidity may confer higher risk for cognitive decline than any single constituent disease. This study aims to identify distinct trajectories of cognitive impairment probability among middle-aged and older adults, and to assess the effect of changes in mental-somatic multimorbidity on these distinct trajectories.Methods Data from the Health and Retirement Study (1998-2016) were employed to estimate group-based trajectory models identifying distinct trajectories of cognitive impairment probability. Four time-varying mental-somatic multimorbidity combinations (somatic, stroke, depressive, stroke and depressive) were examined for their association with observed trajectories of cognitive impairment probability with age. Multinomial logistic regression analysis was conducted to quantify the association of sociodemographic and health-related factors with trajectory group membership.Results Respondents (N = 20,070) had a mean age of 61.0 years (SD = 8.7) at baseline. Three distinct cognitive trajectories were identified using group-based trajectory modelling: (1) Low risk with late-life increase (62.6%), (2) Low initial risk with rapid increase (25.7%), and (3) High risk (11.7%). For adults following along Low risk with late-life increase, the odds of cognitive impairment for stroke and depressive multimorbidity (OR:3.92, 95%CI:2.91,5.28) were nearly two times higher than either stroke multimorbidity (OR:2.06, 95%CI:1.75,2.43) or depressive multimorbidity (OR:2.03, 95%CI:1.71,2.41). The odds of cognitive impairment for stroke and depressive multimorbidity in Low initial risk with rapid increase or High risk (OR:4.31, 95%CI:3.50,5.31; OR:3.43, 95%CI:2.07,5.66, respectively) were moderately higher than stroke multimorbidity (OR:2.71, 95%CI:2.35, 3.13; OR: 3.23, 95%CI:2.16, 4.81, respectively). In the multinomial logistic regression model, non-Hispanic Black and Hispanic respondents had higher odds of being in Low initial risk with rapid increase and High risk relative to non-Hispanic White adults.Conclusions These findings show that depressive and stroke multimorbidity combinations have the greatest association with rapid cognitive declines and their prevention may postpone these declines, especially in socially disadvantaged and minoritized groups.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] MENTAL-SOMATIC MULTIMORBIDITY IN GROUPBASED TRAJECTORIES OF COGNITIVE FUNCTION FOR MIDDLE-AGED AND OLDER ADULTS
    Chen, Siting
    Nagel, Corey
    Botoseneanu, Anda
    Allore, Heather
    Newsom, Jason
    Thielke, Stephen
    Kaye, Jeffrey
    Quinones, Ana
    INNOVATION IN AGING, 2022, 6 : 610 - 610
  • [2] Trajectories of cognitive function development and predictive factors in disabled middle-aged and older adults
    Pang, Jiaxue
    Xu, Yang
    Liu, Qiankun
    Huang, Juju
    Li, Pengyao
    Ma, Li
    Zeng, Chunlu
    Ma, Xiaoqing
    Xie, Hui
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [3] Accelerated retinal ageing and multimorbidity in middle-aged and older adults
    Chen, Ruiye
    Zeng, Xiaomin
    Hu, Wenyi
    Jeyarajan, Deepak
    Yu, Zhen
    Wang, Wei
    Ge, Zongyuan
    Shang, Xianwen
    He, Mingguang
    Zhu, Zhuoting
    GEROSCIENCE, 2025,
  • [4] Longitudinal Changes in Auditory and Cognitive Function in Middle-Aged and Older Adults
    Humes, Larry E.
    JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2021, 64 (01): : 230 - 249
  • [5] The effect of multimorbidity patterns on physical and cognitive function in diabetes patients: a longitudinal cohort of middle-aged and older adults in China
    Zhou, Xieting
    Qin, Juan-Juan
    Li, Hang
    Chen, Jiyu
    Zhang, Qing
    Ye, Xujun
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16
  • [6] Spousal Caregiving Types and Cognitive Trajectories Among Middle-Aged and Older Adults in China
    Guo, Yu
    Zhang, Zhenmei
    Jiang, Quanbao
    RESEARCH ON AGING, 2025,
  • [7] Spousal Caregiving Types and Cognitive Trajectories Among Middle-Aged and Older Adults in China
    Guo, Yu
    Zhang, Zhenmei
    Jiang, Quanbao
    RESEARCH ON AGING, 2025, 47 (5-6) : 308 - 320
  • [8] DISCRIMINATION TRAJECTORIES, RESILIENCE CHARACTERISTICS, AND MULTIMORBIDITY AMONG MIDDLE-AGED AND OLDER BLACKS
    White, Kellee
    Robinson-Ector, Kaitlynn
    Wei, Melissa
    Ma, Tianzhou
    Bell, Bethany
    Quinones, Ana
    INNOVATION IN AGING, 2022, 6 : 107 - 108
  • [9] Correlates of cognitive function in middle-aged adults
    Cerhan, JR
    Folsom, AR
    Mortimer, JA
    Shahar, E
    Knopman, DS
    McGovern, PG
    Hays, MA
    Crum, LD
    Heiss, G
    GERONTOLOGY, 1998, 44 (02) : 95 - 105
  • [10] PREDICTING SYMPTOM SEVERITIES IN MIDDLE-AGED AND OLDER ADULTS WITH ARTHRITIS AND MULTIMORBIDITY
    Zhang, Wenhui
    INNOVATION IN AGING, 2021, 5 : 185 - 185