Evidence map›Paper›PMID 35147678›Full record

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

Body Mass Index and Memory Across 18 Years in the Wisconsin Longitudinal Study.

Sara M Moorman, Sara Kobielski

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Sara M MoormanDepartment of Sociology, Boston College, Chestnut Hill, Massachusetts, USA.ORCID 0000-0002-7555-1769
Sara KobielskiDepartment of Sociology, Boston College, Chestnut Hill, Massachusetts, USA.

Funding

Optimizing Cognitive Health in Later Life by Examining Childhood Socioeconomic Status as an Early-Life Risk and Protective Factor SupplementR01AG057491 · NIA · RUTGERS, THE STATE UNIV OF N.J. · PI COHEN, EMILY GREENFIELD, MOORMAN, SARA M · 2017 to 2019
$1.1M
NIA NIH HHS R01 AG057491NIH HHS R01AG057491
6 · The paper itself

Abstract

backgroundBody weight is a modifiable risk factor for dementia, but results have been mixed as to the ages at which normal body weight is markedly preferable to overweight or obesity. This study assessed the association between change in body mass index (BMI) over 2 periods of the life course with change in memory between the ages of 65 and 72 for males and females.

methodsParticipants were 3 637 White high school graduates, born in 1939, from the Wisconsin Longitudinal Study. The statistical analyses were fixed-effects regression models, with moderation terms to test for sex differences. One set of models examined change in BMI between ages 54 and 65, and the other set examined change in BMI between ages 65 and 72. In both cases, cognitive change occurred between ages 65 and 72.

resultsGreater increases in BMI were associated with a greater decline in immediate recall for females only, both contemporaneously and following a lag. Increases in BMI were associated with greater contemporaneous-but not lagged-declines in both delayed recall and digit ordering for both males and females.

conclusionsThe present study adds to the evidence that for White, high school educated Americans, weight gain in midlife and young-old age is a risk factor for memory decline. Results vary according to the timing of the weight gain, the aspect of memory measured, and participant sex.

Indexed as

Weight GainAgedAged, 80 and overBody Mass IndexBody WeightFemaleHumansLongitudinal StudiesMaleWisconsinFixed-effects modelsMidlifeObeseOverweight

Identifiers

PMID35147678
PMCPMC9879747

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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.