Evidence map›Paper›PMID 36754372›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023

Association Between Weight Status and Rate of Cognitive Decline: China Health and Nutrition Survey 1997-2018.

David H Lynch, Annie Green Howard, Hsiao-Chuan Tien, Shufa Du, Bing Zhang, Huijun Wang, Penny Gordon-Larsen, John A Batsis

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. The Association Between Urbanization and Frailty Status in China.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
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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

8 authors.

David H LynchDivision of Geriatric Medicine and Center for Aging and Health, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-2512-9367
Annie Green HowardDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0003-0837-8166
Hsiao-Chuan TienCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA.
Shufa DuCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA.
Bing ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Huijun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Penny Gordon-LarsenCarolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA.
John A BatsisDivision of Geriatric Medicine and Center for Aging and Health, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-0845-4416

Funding

MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Monitoring Social Change: Dynamics Of Aging And Cognitive FunctionR01AG065357 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 2020 to 2024
$3.6M
Emergence of Cardiometabolic Risk Across the Lifecycle in ChinaR01HL108427 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2012 to 2015
$2.7M
Transition to a Western diet and cardiometabolic risk: biomarkers derived from the microbiomeR01DK104371 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2015 to 2018
$2.5M
SCH: INT: Collaborative Research: Exploiting Voice Assistant Systems for Early Detection of Cognitive DeclineR01AG067416 · NIA · UNIVERSITY OF MASSACHUSETTS BOSTON · PI LIANG, XIAOHUI · 2019 to 2022
$1.2M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
Mobile Health Obesity Wellness Intervention in Rural Older Adults_Res1K23AG051681 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BATSIS, JOHN A. · 2016 to 2022
$1.1M
FIC NIH HHS D43 TW009077NHLBI NIH HHS R01 HL108427NIA NIH HHS K23 AG051681NIA NIH HHS R01 AG065357NIA NIH HHS R01AG065357NIA NIH HHS R01 AG067416NICHD NIH HHS R01 HD030880NIDDK NIH HHS R01 DK104371NIDDK NIH HHS R01DK104371
6 · The paper itself

Abstract

backgroundThere is a close relationship between weight status and cognitive impairment in older adults. This study examined the association between weight status and the trajectory of cognitive decline over time in a population-based cohort of older adults in China.

methodsWe used data from adults aged ≥55 years participating in the China health and nutrition survey (1997-2018). Underweight (body mass index [BMI] ≤ 18.5 kg/m2), normal weight (18.5-23 kg/m2), overweight (23-27.5 kg/m2), and obesity (BMI ≥ 27.5 kg/m2) were defined using the World Health Organization Asian cutpoints. Global cognition was estimated every 2-4 years through a face-to-face interview using a modified telephone interview for cognitive status (scores 0-27). The association between BMI and the rate of global cognitive decline, using a restricted cubic spline for age and age category, was examined with linear mixed-effects models accounting for correlation within communities and individuals.

resultsWe included 5 992 adults (53% female participants, mean age of 62 at baseline). We found differences in the adjusted rate of global cognitive decline by weight status (p = .01 in the cubic spline model). Models were adjusted for sex, marital status, current employment status, income, region, urbanization, education status, birth cohort, leisure activity, smoking status, and self-reported diagnosis of hypertension, diabetes, or Myocardial Infarction (MI)/stroke. In addition, significant declines by age in global cognitive function were found for all weight status categories except individuals with obesity.

conclusionsIn a cohort of adults in China, cognitive decline trajectory differed by weight status. A slower rate of change was observed in participants classified as having obesity.

Indexed as

Cognitive DysfunctionObesityAgedBody Mass IndexChinaFemaleHumansMaleNutrition SurveysOverweightBody mass indexCognitive impairmentEpidemiologyLongitudinalObesity

Identifiers

PMID36754372
PMCPMC10235196

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.