Evidence map›Paper›PMID 36795235›Full record

ArticleAging clinical and experimental research2023

Body mass index and death by cognitive impairment.

Zhiqiang Li, Xinran Gong, Xin Cui, Wuping Zhang, Yanding Wang, Di Wu, Meitao Yang, Xinjing Jia, Chunyuan Duan, Lisha Liu and 7 more

Abstract read
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In one paragraph

Article in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Zhiqiang Li *School of Public Health, China Medical University, Shenyang, China.ORCID http://orcid.org/0000-0003-1492-4995
Xinran Gong *School of Public Health, China Medical University, Shenyang, China.
Xin Cui *Second Medical Center of Chinese People's Liberation Army General Hospital, Haidian District, Beijing, China.
Wuping ZhangForeign Language Department, Graduate School of Chinese People's Liberation Army General Hospital, Beijing, China.
Yanding WangSchool of Public Health, China Medical University, Shenyang, China.
Di WuSchool of Public Health, China Medical University, Shenyang, China.
Meitao YangSchool of Public Health, China Medical University, Shenyang, China.
Xinjing JiaSchool of Public Health, China Medical University, Shenyang, China.
Chunyuan DuanSchool of Public Health, China Medical University, Shenyang, China.
Lisha LiuChinese People's Liberation Army Center for Disease Control and Prevention, Dongda Street No.20 in Fengtai District, Beijing, 100071, China.
Jinpeng GuoChinese People's Liberation Army Center for Disease Control and Prevention, Dongda Street No.20 in Fengtai District, Beijing, 100071, China.
Ruizhong JiaChinese People's Liberation Army Center for Disease Control and Prevention, Dongda Street No.20 in Fengtai District, Beijing, 100071, China.
Xiushan ZhangChinese People's Liberation Army Center for Disease Control and Prevention, Dongda Street No.20 in Fengtai District, Beijing, 100071, China.
Yong ChenChinese People's Liberation Army Center for Disease Control and Prevention, Dongda Street No.20 in Fengtai District, Beijing, 100071, China.
Yue TangChinese People's Liberation Army Center for Disease Control and Prevention, Dongda Street No.20 in Fengtai District, Beijing, 100071, China.
Miao LiuDepartment of Epidemiology and Statistics, Graduate School of Chinese PLA General Hospital, Beijing, China. liumiaolmbxb@163.com.
Yong WangSchool of Public Health, China Medical University, Shenyang, China. ywang7508@sina.com.
Chinese Center For Disease Control and Prevention · CNChinese PLA General Hospital · CNHainan 301 Hospital · CNPeople's Liberation Army No. 150 Hospital · CN

Funding

Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases 2018ZX10713003National Natural Science Foundation of China 82173589
6 · The paper itself

Abstract

backgroundEpidemiological studies have reported that among participants with impaired cognitive, overweight and mild obesity are associated with substantially improved survival, this finding has been termed the "obesity paradox" and has led to uncertainty about secondary prevention.

aimsTo explore whether the association of BMI with mortality differed in different MMSE score, and whether the obesity paradox in patient with cognitive impairment (CI) is real.

methodsThe study used data from CLHLS, a representative prospective population-based cohort study in China, which included 8348 participants aged ≥ 60 years between 2011 and 2018. The independent association between BMI and mortality in differed MMSE score by calculating hazard ratios (HRs) in multivariate Cox regression analysis.

resultsDuring a median (IQR) follow-up of 41.18 months, a total of 4216 participants died. In the total population, underweight increased the risk of all-cause mortality (HRs, 1.33; 95% CI 1.23-1.44), compared with normal weight, and overweight was associated with a decreased risk of all-cause mortality (HR 0.83; 95% CI 0.74-0.93). However,  compared to normal weight, only underweight was associated with increased mortality risk among participants with MMSE scores of 0-23, 24-26, 27-29, and 30, and the fully-adjusted HRs (95% CIs) for mortality were 1.30 (1.18, 1.43), 1.31 (1.07, 1.59), 1.55 (1.34, 1.80) and 1.66 (1.26, 2.20), respectively. The obesity paradox was not found in individuals with CI. Sensitivity analyses carried out had hardly any impact on this result.

conclusionWe found no evidence of an obesity paradox in patients with CI, compared with patients of normal weight. But underweight individuals may have increased mortality risk whether in the population with CI or not. And overweight/obese people with CI should continue to aim for normal weight.

Indexed as

Cognitive DysfunctionOverweightBody Mass IndexCohort StudiesHumansObesityProspective StudiesRisk FactorsThinnessAll-cause mortalityBMIChineseCognitive impairmentObesity paradoxOlder adultsReverse causality

Identifiers

PMID36795235
OpenAlexW4321004334

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.