Cited by 440Dementia and Cognitive Impairment ResearchMenopause: Health Impacts and TreatmentsCognitive Abilities and Testing

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index; 23 of the 45 sources its claims cite were checked for support.

Sex differences in cognitive decline among US adults

Open access

Abstract

Importance: Sex differences in dementia risk are unclear, but some studies have found greater risk for women. Objective: To determine associations between sex and cognitive decline in order to better understand sex differences in dementia risk. Design, Setting, and Participants: This cohort study used pooled analysis of individual participant data from 5 cohort studies for years 1971 to 2017: Atherosclerosis Risk in Communities Study, Coronary Artery Risk Development in Young Adults Study, Cardiovascular Health Study, Framingham Offspring Study, and Northern Manhattan Study. Linear mixed-effects models were used to estimate changes in each continuous cognitive outcome over time by sex. Data analysis was completed from March 2019 to October 2020. Exposure: Sex. Main Outcomes and Measures: The primary outcome was change in global cognition. Secondary outcomes were change in memory and executive function. Outcomes were standardized as t scores (mean [SD], 50 [10]); a 1-point difference represents a 0.1-SD difference in cognition. Results: Among 34 349 participants, 26 088 who self-reported Black or White race, were free of stroke and dementia, and had covariate data at or before the first cognitive assessment were included for analysis. Median (interquartile range) follow-up was 7.9 (5.3-20.5) years. There were 11 775 (44.7%) men (median [interquartile range] age, 58 [51-66] years at first cognitive assessment; 2229 [18.9%] Black) and 14 313 women (median [interquartile range] age, 58 [51-67] years at first cognitive assessment; 3636 [25.4%] Black). Women had significantly higher baseline performance than men in global cognition (2.20 points higher; 95% CI, 2.04 to 2.35 points; P < .001), executive function (2.13 points higher; 95% CI, 1.98 to 2.29 points; P < .001), and memory (1.89 points higher; 95% CI, 1.72 to 2.06 points; P < .001). Compared with men, women had significantly faster declines in global cognition (-0.07 points/y faster; 95% CI, -0.08 to -0.05 points/y; P < .001) and executive function (-0.06 points/y faster; 95% CI, -0.07 to -0.05 points/y; P < .001). Men and women had similar declines in memory (-0.004 points/y faster; 95% CI, -0.023 to 0.014; P = .61). Conclusions and Relevance: The results of this cohort study suggest that women may have greater cognitive reserve but faster cognitive decline than men, which could contribute to sex differences in late-life dementia.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a pooled analysis of 26,088 US adults from 5 cohorts, women had higher baseline global cognition, executive function, and memory than men but faster declines in global cognition and executive function, not memory. The authors conclude women may have greater cognitive reserve but faster later-life cognitive decline.

Key findings

  • Among 26,088 participants (14,313 women, 11,775 men), women had higher baseline scores than men: global cognition +2.20 points (95% CI, 2.04-2.35), executive function +2.13 points (95% CI, 1.98-2.29), and memory +1.89 points (95% CI, 1.72-2.06); all P < .001.
  • Women had faster adjusted declines than men in global cognition (difference in slope −0.07 points/y; 95% CI, −0.08 to −0.05; P < .001) and executive function (−0.06 points/y; 95% CI, −0.07 to −0.05; P < .001), but not memory (−0.004 points/y; 95% CI, −0.023 to 0.014; P = .61).
  • The authors estimate that if causal, these differences correspond to 5 to 6 years of cognitive aging; women reached a 0.5-SD decline threshold 4.72 years faster for global cognition, 1.97 years faster for executive function, and 0.24 years faster for memory.
  • Sensitivity analyses including post-stroke observations, kidney function and myocardial infarction, APOE ε4, and within-cohort analyses showed similar results, with little heterogeneity across cohorts.

Methods

  • Pooled individual participant data from 5 prospective US cohorts (ARIC, CARDIA, CHS, FOS, NOMAS; 1971-2017); included adults without dementia or stroke at baseline and with at least 1 cognitive assessment and 1 blood pressure measurement, yielding 26,088 participants.
  • Cognitive tests were co-calibrated using item response theory into global cognition, memory, and executive function factor scores on a t-score metric (mean 50, SD 10) at first assessment; primary outcome was change in global cognition, with memory and executive function as secondary outcomes.
  • Linear mixed-effects models estimated sex differences in baseline and slope, including sex × follow-up time and covariates such as age, race, education, cohort, vascular risk factors, time-dependent cumulative mean systolic blood pressure, and hypertension treatment, with random intercepts and slopes; complete-case analysis excluded 693 of 26,781 participants (2.59%) with missing covariates.

Limitations

  • Stated: the study could not adjust for educational quality, literacy, other socioeconomic factors, or depressive symptoms; selective attrition could bias decline estimates; clinical impact was inferred by equating slopes with aging rather than directly measured; it did not study incident dementia, adjust for baseline cognition, or identify a specific age interval of greatest risk; secondary outcomes had smaller samples and fewer assessments; data were lacking on instrumental activities of daily living, family history of dementia, and hormone replacement therapy; possible immortal cohort bias and regression to the mean were noted; fixed cohort effects may produce conservative estimates.
  • Evident from the text: the observational cohort design cannot establish causality, and exclusion of participants reporting race other than Black or White and exclusion of Hispanic ethnicity from NOMAS limit generalizability; residual confounding by unmeasured factors remains possible.

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Integrity signals

Registry

Crossref · 10.1001/jamanetworkopen.2021.0169

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1. Derivation of Participant Cohort BP indicates blood pressure. aCategories for missing data on covariates are not mutually exclusive. Missing data for covariates included glucose (261 participants), alcohol use (18 participants), body mass index (33 participants), waist circumference (109 participants), smoking (3 participants), physical activity (30 participants), low-density lipoprotein cholesterol (264 participants), antihypertensive medication use (25 participants), and education (179 participants). No participants were missing history of atrial fibrillation.
Figure 1. Derivation of Participant Cohort BP indicates blood pressure. aCategories for missing data on covariates are not mutually exclusive. Missing data for covariates included glucose (261 participants), alcohol use (18 participants), body mass index (33 participants), waist circumference (109 participants), smoking (3 participants), physical activity (30 participants), low-density lipoprotein cholesterol (264 participants), antihypertensive medication use (25 participants), and education (179 participants). No participants were missing history of atrial fibrillation.CC BY · PubMed Central
Figure 2. Projected Mean Changes in Global Cognition, Executive Function, and Memory Over Time by Sex Participant-specific (conditional) projected values of cognition were calculated for a 70-year-old Black participant (woman vs man) with the following values of all covariates at or before first cognitive assessment: Northern Manhattan Study cohort, eighth grade or lower education, 0 alcoholic drinks per week, nonsmoking, body mass index of 27.1 (calculated as weight in kilograms divided by height in meters squared), waist circumference (96.0 cm), low-density lipoprotein cholesterol (123.8 mg/dL [to convert to millimoles per liter, multiply by 0.0259]) and glucose (97.3 mg/dL [to convert to millimoles per liter, multiply by 0.0555]), no history of atrial fibrillation, no hypertension treatment, and a baseline systolic blood pressure (BP) of 150 mm Hg that increases by 1 mm each year. Random effects for this projection were set to zero. Linear mixed-effects models included time since first cognitive assessment and baseline values (measured before or at time of first cognitive assessment) of sex, age, race, cohort study, years of school, alcohol use, cigarette smoking, body mass index, waist circumference, physical activity, cumulative mean systolic BP, hypertension treatment, fasting glucose, low-density lipoprotein cholesterol, history of atrial fibrillation, age × follow-up time, sex × follow-up time, race × follow-up time, cumulative mean systolic BP × follow-up time, and hypertension treatment × follow-up time.
Figure 2. Projected Mean Changes in Global Cognition, Executive Function, and Memory Over Time by Sex Participant-specific (conditional) projected values of cognition were calculated for a 70-year-old Black participant (woman vs man) with the following values of all covariates at or before first cognitive assessment: Northern Manhattan Study cohort, eighth grade or lower education, 0 alcoholic drinks per week, nonsmoking, body mass index of 27.1 (calculated as weight in kilograms divided by height in meters squared), waist circumference (96.0 cm), low-density lipoprotein cholesterol (123.8 mg/dL [to convert to millimoles per liter, multiply by 0.0259]) and glucose (97.3 mg/dL [to convert to millimoles per liter, multiply by 0.0555]), no history of atrial fibrillation, no hypertension treatment, and a baseline systolic blood pressure (BP) of 150 mm Hg that increases by 1 mm each year. Random effects for this projection were set to zero. Linear mixed-effects models included time since first cognitive assessment and baseline values (measured before or at time of first cognitive assessment) of sex, age, race, cohort study, years of school, alcohol use, cigarette smoking, body mass index, waist circumference, physical activity, cumulative mean systolic BP, hypertension treatment, fasting glucose, low-density lipoprotein cholesterol, history of atrial fibrillation, age × follow-up time, sex × follow-up time, race × follow-up time, cumulative mean systolic BP × follow-up time, and hypertension treatment × follow-up time.CC BY · PubMed Central

Verification

Claims the paper makes

15 Own method · 15 Own result · 13 Own interpretation · 6 Supported · 6 Partly supported · 5 No full text of the sources · 4 Supported so far · 4 Sources not found · 1 Mixed support · 1 Not checked yet · accuracy not yet measured

Show all 33 claims

  • Probably not a substantial claim. 25
  • It may state two separate claims as one. 16
  • The quote only partly states this claim. 1
37 of 37
  • The paper relies on this without support.

    Missing covariate data are missing completely at random, so complete case analysis does not bias the results.

    “We performed a complete case analysis, excluding a small number of participants (693 of 26 781 [2.59%]) from the analytical data set that had missing values in covariates.”
  • The authors state this as an assumption.

    Participants' postmortem cognitive data are missing at random.

    “the assumption that participants’ postmortem cognitive data are missing at random”
2 of 2

Claims other papers make about this one

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Citations

Cites

Show all 65 references

Research works printed but not linked: 2

  1. Ferraro, 2002, Minority and Cross-Cultural Aspects of Neuropsychological Assessment (Studies on Neuropsychology, Neurology and Cognition).
  2. Muthen, 2017, Mplus User’s Guide

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Metadata

Authors
Levine, D. A., Gross, A. L., Briceño, E. M., Tilton, N., Giordani, B. J., Sussman, J. B., Hayward, R. A., Burke, J. F., Hingtgen, S., Elkind, M. S. V., Manly, J. J., Gottesman, R. F., Gaskin, D. J., Sidney, S., Sacco, R. L., Tom, S. E., Wright, C. B., Yaffe, K., & Galecki, A. T.
Affiliations
  • University of Michigan (US)
  • Johns Hopkins University (US)
  • Columbia University (US)
  • Kaiser Permanente (US)
  • University of Miami (US)
  • National Institute of Neurological Disorders and Stroke (US)
  • University of California, San Francisco (US)
  • Cognitive Health Services Research Program, Department of Internal Medicine, University of Michigan, Ann Arbor
Corresponding author
Levine, Deborah A.
Venue
JAMA Network Open
Published
2021-02-25
Volume
4
Issue
2
Pages
e210169
ISSN
2574-3805 (ISSN-L)
OpenAlex
W3130349791
Cited by
440
References
65
Citations by year
2026: 69 · 2025: 125 · 2024: 85 · 2023: 83 · 2022: 58 · 2021: 20
FWCI
38.83
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JAMA Network Open (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
Funders
  • National Institutes of Health (5k01ag050699-05, 2p30ag024824-21)
  • National Institute on Aging (P30AG053760, K01-AG050699, K01AG050723, P30-AG024824, R01AG063887, RF1 AG054443, R01AG051827, P30AG066507)
  • National Institute of Neurological Disorders and Stroke (R01 NS029993, R01 NS102715, R37NS029993)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Keywords
sex differences, cognitive decline, dementia risk, women, memory, executive function, global cognition, aging, Black women, racial disparities, cognitive aging, cohort studies, individual patient data meta-analysis, Framingham Offspring Study, Coronary Artery Risk Development in Young Adults Study, Cardiovascular Health Study, Northern Manhattan Study, Atherosclerosis Risk in Communities Study, middle-aged and older adults
MeSH terms
Aged, Female, Humans, Male, Memory, Middle Aged, Risk, Sex Factors, Time Factors, United States, Cohort Studies, Executive Function, Cognitive Reserve, Cognitive Dysfunction

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