Evidence map›Paper›PMID 37462970›Full record

ArticleJAMA network open2023

Association of Unhealthy Lifestyle and Genetic Risk Factors With Mild Cognitive Impairment in Chinese Older Adults.

Huilian Duan, Dezheng Zhou, Ning Xu, Tong Yang, Qi Wu, Zehao Wang, Yue Sun, Zhenshu Li, Wen Li, Fei Ma and 7 more

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Observational
  4. Association between unhealthy lifestyles and young-onset dementia: a nationwide cohort study.European archives of psychiatry and clinical neuroscience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Huilian DuanDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Dezheng ZhouDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Ning XuDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Tong YangDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Qi WuDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Zehao WangDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Yue SunDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Zhenshu LiDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Wen LiDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Fei MaDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yongjie ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yue DuDepartment of Social Medicine and Health Management, School of Public Health, Tianjin Medical University, Tianjin, China.
Meilin ZhangDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Jing YanDepartment of Social Medicine and Health Management, School of Public Health, Tianjin Medical University, Tianjin, China.
Changqing SunNeurosurgical Department of Baodi Clinical College of Tianjin Medical University, Tianjin, China.
Guangshun WangDepartment of Tumor, Baodi Clinical College of Tianjin Medical University, Tianjin, China.
Guowei HuangDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Apolipoprotein E polymorphism ε4 (APOE ε4) and methylenetetrahydrofolate reductase (MTHFR) TT genotype are genetic risk factors of mild cognitive impairment (MCI), but whether this risk can be changed by modifiable lifestyle factors is unknown. Objective: To explore whether unhealthy lifestyle (unhealthy dietary intake, current smoking, nonlimited alcohol consumption, and irregular physical activities) is associated with a higher risk of age-related MCI considering genetic risk. Design, Setting, and Participants: This population-based cohort study used data from Tianjin Elderly Nutrition and Cognition (TENC) study participants, recruited from March 1, 2018, through June 30, 2021, and followed up until November 30, 2022. Participants were Chinese adults aged 60 years or older who completed the neuropsychological assessments, general physical examinations, and a personal interview. Exposures: Healthy lifestyle was defined according to the Chinese Dietary Guidelines 2022, including healthy diet, regular physical activity, limited alcohol consumption, and no current smoking, categorized into healthy and unhealthy lifestyles according to weighted standardized lifestyle score. Genetic risk was defined by MTHFR TT genotype and APOE ε4, categorized into low and high genetic risk according to weighted standardized genetic risk score. Main Outcomes and Measures: The main outcome was newly diagnosed MCI as identified using a modified version of Petersen criteria. Hazard ratios (HRs) and 95% CIs were estimated using Cox proportional hazard regression models. Results: A total of 4665 participants were included (mean [SD] age, 67.9 [4.9] years; 2546 female [54.6%] and 2119 male [45.4%]); 653 participants with new-onset MCI (mean [SD] age, 68.4 [5.4] years; 267 female [40.9%] and 386 male [59.1%]) were identified after a median follow-up of 3.11 years (range, 0.82-4.61 years). Individuals with a low genetic risk and an unhealthy lifestyle (HR, 3.01; 95% CI, 2.38-3.79), a high genetic risk and a healthy lifestyle (HR, 2.65; 95% CI, 2.03-3.44), and a high genetic risk and an unhealthy lifestyle (HR, 3.58; 95% CI, 2.73-4.69) had a higher risk of MCI compared with participants with a low genetic risk and a healthy lifestyle. There was a synergistic interaction between lifestyle categories and genetic risk (β = 3.58; 95% CI, 2.73-4.69). Conclusions and Relevance: In this cohort study of TENC participants, the findings show that unhealthy lifestyle and high genetic risk were significantly associated with a higher risk of MCI among Chinese older adults. Unhealthy lifestyle factors were associated with a higher risk of MCI regardless of genetic risk, and lifestyle and genetic risk had synergistic interactions. These findings could contribute to the development of dietary guidelines and the prevention of early-stage dementia.

Indexed as

Apolipoprotein E4Cognitive DysfunctionMethylenetetrahydrofolate Reductase (NADPH2)AgedApolipoproteins ECohort StudiesEast Asian PeopleFemaleHumansLife StyleMaleMiddle AgedRisk FactorsApoE protein, humanApolipoprotein E4Apolipoproteins EMethylenetetrahydrofolate Reductase (NADPH2)MTHFR protein, human

Identifiers

PMID37462970
PMCPMC10354670

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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.