Evidence map›Paper›PMID 37770350›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2024

Association of Childhood Adversity With Frailty and the Mediating Role of Unhealthy Lifestyle: A Lifespan Analysis.

Gan Yang, Xingqi Cao, Jie Yu, Xueqin Li, Liming Zhang, Jingyun Zhang, Chao Ma, Ning Zhang, Qingyun Lu, Chenkai Wu and 4 more

Abstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Gan YangSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xingqi CaoSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jie YuSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xueqin LiSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Liming ZhangSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jingyun ZhangSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Chao MaSchool of Economics and Management (CM), Southeast University, Nanjing, Jiangsu, China.
Ning ZhangDepartment of Social Medicine School of Public Health and Center for Clinical Big Data and Analytics Second Affiliated Hospital (NZ), Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Qingyun LuSchool of Public Health (QL), Nantong University, Nantong, JiangSu, China.
Chenkai WuGlobal Health Research Center (CW), Duke Kunshan University, Kunshan, Jiangsu, China.
Xi ChenDepartment of Health Policy and Management (XC), Yale School of Public Health, New Haven, CT, USA; Department of Economics (XC), Yale University, New Haven, CT, USA.
Emiel O HoogendijkDepartment of Epidemiology & Data Science (EOH), Amsterdam Public Health research institute, Amsterdam UMC-Location VU University Medical Center, Amsterdam, The Netherlands.
Thomas M GillDepartment of Internal Medicine (TMG), Yale School of Medicine, New Haven, CT, USA.
Zuyun LiuSecond Affiliated Hospital, and School of Public Health (GY, XC, JY, XL, LZ, JZ, ZL), The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Electronic address: Zuyun.liu@outlook.com.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
A Life Course Approach to Understanding Racial and Ethnic Disparities in Alzheimer's Disease and Related Dementias and Health CareR01AG077529 · NIA · YALE UNIVERSITY · PI Xi Chen · 2022 to 2026
$3.6M
Social Pension, Health, and Healthy AgingK01AG053408 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2018 to 2021
$514k
NCATS NIH HHS UL1 TR001863NIA NIH HHS K01 AG053408NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG077529
6 · The paper itself

Abstract

objectivesChildhood adversity and lifestyle have been associated with frailty in later life, but not much is known about factors that may explain these associations. Therefore, this study aims to investigate the association of childhood adversity with frailty, and the mediating role of unhealthy lifestyle in the association.

methodsThis lifespan analysis included 152,914 adults aged 40-69 years old from the UK Biobank. We measured childhood adversity with five items: physical neglect, emotional neglect, sexual abuse, physical abuse, and emotional abuse through online mental health survey. Frailty was measured by the frailty index; an unhealthy lifestyle score (range: 0-5) was calculated based on unhealthy body mass index, smoking, alcohol consumption, physical inactivity, and unhealthy diet at the baseline survey. Multiple logistic regression and mediation analysis were performed.

resultsA total of 10,078 participants (6.6%) were defined as having frailty. Participants with any childhood adversity had higher odds of frailty. For example, in the fully adjusted model, with a one-point increase in cumulative score of childhood adversity, the odds of frailty increased by 38% (odds ratio: 1.38; 95% Confidence Interval: 1.36, 1.40). Unhealthy lifestyle partially mediated the associations of childhood adversity with frailty (mediation proportion: 4.4%-7.0%). The mediation proportions were largest for physical (8.2%) and sexual (8.1%) abuse.

conclusionsChildhood adversity was positively associated with frailty, and unhealthy lifestyle partially mediated the association. This newly identified pathway highlights the potential of lifestyle intervention strategies among those who experienced childhood adversity (in particular, physical, and sexual abuse) to promote healthy aging.

Indexed as

Adverse Childhood ExperiencesChild AbuseFrailtyAgedChildHumansLife StyleLongevityAgingchildhood adversityfrailtylifestylemediation analysis

Identifiers

PMID37770350
PMCPMC11078585

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.