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      Association of Adverse Childhood Experiences and Social Isolation With Later-Life Cognitive Function Among Adults in China

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      , MS 1 , , PhD 2 , , , PhD 1 , , PhD 3 , , PhD 4 , , PhD 1 ,
      JAMA Network Open
      American Medical Association

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          Key Points

          Question

          Are threat-related and deprivation-related adverse childhood experiences (ACEs) independently associated with later-life cognitive decline, and does social isolation modify such associations?

          Findings

          In this cohort study of 6466 middle-aged and older adults, individuals with experience of childhood deprivations, but not threats, were susceptible to faster declines in later-life cognitive function over time. The association of deprivation-related ACEs with global cognition and executive function was modified by the level of baseline social isolation.

          Meaning

          These findings suggest that prioritizing preventive strategies for individuals who are exposed to childhood deprivation along with promotion of social integration may help to minimize the risk of cognitive decline.

          Abstract

          This cohort study explores the associations of threat-related and deprivation-related adverse childhood experiences with cognitive decline among middle-aged and older Chinese adults using data from the China Health and Retirement Longitudinal Study.

          Abstract

          Importance

          Studies investigating the association of threat-related and deprivation-related adverse childhood experiences (ACEs) with later-life cognitive decline are lacking.

          Objectives

          To evaluate the independent association of threat-related and deprivation-related ACEs with cognitive decline over time among middle-aged and older Chinese adults and to examine the modifying role of social isolation in such associations.

          Design, Setting, and Participants

          This prospective cohort study used cognitive data from the China Health and Retirement Longitudinal Study (CHARLS) baseline survey that was administered between June 1, 2011, and March 31, 2012, and the CHARLS follow-up survey administered between July 1 and September 30, 2015. The life history survey with information of ACEs was additionally administered between June 1 and December 31, 2014. Statistical analysis was performed from March 1 to July 31, 2022. The study population consisted of middle-aged and older adults (age range, 45-97 years) with complete data on ACEs and 2 cognitive assessments and without cognitive impairment at baseline.

          Exposures

          Five threat-related ACEs (ie, physical abuse, household substance abuse, domestic violence, unsafe neighborhood, and bullying) and 5 deprivation-related ACEs (ie, emotional neglect, household mental illness, incarcerated household member, parental separation or divorce, and parental death) before 17 years of age were queried by questionnaires. The cumulative scores of the 2 ACE dimensions were calculated and grouped into 3 categories as 0, 1, and 2 or more in main analyses.

          Main Outcomes and Measures

          Cognitive function was measured by episodic memory and executive function. Global cognition was further calculated as the total score of these 2 dimensions. The raw scores of each cognitive test were standardized to z scores using baseline means and SDs. Linear mixed-effects models were constructed to examine the association between 2 dimensions of ACEs and the rate of annual cognitive decline. The modifying role of baseline social isolation in such associations was assessed with 3-way interaction tests.

          Results

          Of the 6466 participants included in main analyses, 3301 (51.1%) were men and the mean (SD) age was 57.2 (8.3) years. Compared with no exposures, experience of 1 deprivation-related ACE was associated with faster cognitive decline in global cognition (β = −0.012 [95% CI, −0.022 to −0.002] SD/y) and executive function (β = −0.010 [95% CI, −0.020 to −0.00002] SD/y), whereas individuals with at least 2 childhood deprivations had faster cognitive declines in all cognitive tests (β = −0.035 [95% CI, −0.050 to −0.019] SD/y for global cognition; β = −0.047 [95% CI, −0.068 to −0.025] SD/y for episodic memory; β = −0.019 [95% CI, −0.034 to −0.004] SD/y for executive function). However, such an association was not observed for threat-related ACEs. In addition, baseline social isolation was a significant modifier in the associations between deprivation-related ACEs and cognitive declines in global cognition (β  = −0.033 [95% CI, −0.061 to −0.005] SD/y; P = .02 for 3-way interaction) and executive function (β = −0.032 [95% CI, −0.059 to −0.005] SD/y; P = .02 for 3-way interaction).

          Conclusions and Relevance

          Deprivation-related ACEs, but not threat-related ACEs, were associated with faster decline in later-life cognitive function, whereas social isolation could modify such detrimental impact. These findings highlight the potential benefits of promoting social integration in maintaining later-life cognitive function among individuals who have experienced childhood deprivation.

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          Most cited references50

          • Record: found
          • Abstract: found
          • Article: found

          Multiple imputation using chained equations: Issues and guidance for practice

          Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. The Adverse Childhood Experiences (ACE) Study.

            The relationship of health risk behavior and disease in adulthood to the breadth of exposure to childhood emotional, physical, or sexual abuse, and household dysfunction during childhood has not previously been described. A questionnaire about adverse childhood experiences was mailed to 13,494 adults who had completed a standardized medical evaluation at a large HMO; 9,508 (70.5%) responded. Seven categories of adverse childhood experiences were studied: psychological, physical, or sexual abuse; violence against mother; or living with household members who were substance abusers, mentally ill or suicidal, or ever imprisoned. The number of categories of these adverse childhood experiences was then compared to measures of adult risk behavior, health status, and disease. Logistic regression was used to adjust for effects of demographic factors on the association between the cumulative number of categories of childhood exposures (range: 0-7) and risk factors for the leading causes of death in adult life. More than half of respondents reported at least one, and one-fourth reported > or = 2 categories of childhood exposures. We found a graded relationship between the number of categories of childhood exposure and each of the adult health risk behaviors and diseases that were studied (P or = 50 sexual intercourse partners, and sexually transmitted disease; and 1.4- to 1.6-fold increase in physical inactivity and severe obesity. The number of categories of adverse childhood exposures showed a graded relationship to the presence of adult diseases including ischemic heart disease, cancer, chronic lung disease, skeletal fractures, and liver disease. The seven categories of adverse childhood experiences were strongly interrelated and persons with multiple categories of childhood exposure were likely to have multiple health risk factors later in life. We found a strong graded relationship between the breadth of exposure to abuse or household dysfunction during childhood and multiple risk factors for several of the leading causes of death in adults.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Stress, social support, and the buffering hypothesis.

                Bookmark

                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                11 November 2022
                November 2022
                11 November 2022
                : 5
                : 11
                : e2241714
                Affiliations
                [1 ]Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
                [2 ]Department of Neurosurgery, Wu Tsai Neuroscience Institute, Stanford University School of Medicine, Stanford, California
                [3 ]Department of Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
                [4 ]Department of Child Healthcare, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
                Author notes
                Article Information
                Accepted for Publication: September 28, 2022.
                Published: November 11, 2022. doi:10.1001/jamanetworkopen.2022.41714
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Lin L et al. JAMA Network Open.
                Corresponding Authors: Bing Cao, PhD, Department of Neurosurgery, Wu Tsai Neuroscience Institute, Stanford University School of Medicine, Stanford, CA ( bingcao@ 123456stanford.edu ); Vivian Yawei Guo, PhD, Department of Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan Second Rd, Guangzhou, Guangdong 510080, China ( guoyw23@ 123456mail.sysu.edu.cn ).
                Author Contributions: Drs Cao and Guo had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Lin, Cao, Chen, Li, Guo.
                Acquisition, analysis, or interpretation of data: Lin, Cao, Guo.
                Drafting of the manuscript: Lin, Guo.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Lin, Li.
                Administrative, technical, or material support: Cao, Chen, Li, Zhang, Guo.
                Supervision: Cao, Guo.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: This study was supported by grant 82204069 from the National Natural Science Foundation of China (Dr Guo), grant 51000-18841211 from the start-up fund from Sun Yat-sen University (Dr Guo), and grant 22qntd4201 from the Fundamental Research Funds for the Central Universities (Dr Guo).
                Role of the Funder/Sponsor: The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: Jing Liao, PhD, Department of Biostatistics, School of Public Health, Sun Yat-sen University, provided suggestions on the statistical analysis, for which she was not compensated. We thank the CHARLS team for sharing the data sets.
                Article
                zoi221176
                10.1001/jamanetworkopen.2022.41714
                9652754
                36367722
                431817b9-3d0f-4678-962e-c6e338aa0e0a
                Copyright 2022 Lin L et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 28 April 2022
                : 28 September 2022
                Categories
                Research
                Original Investigation
                Online Only
                Geriatrics

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