Skip to main content
AAN.com

Abstract

Objective

To test the hypothesis that life course patterns of employment, marriage, and childrearing influence later-life rate of memory decline among women, we examined the relationship of work-family experiences between ages 16 and 50 years and memory decline after age 55 years among US women.

Methods

Participants were women ages ≥55 years in the Health and Retirement Study. Participants reported employment, marital, and parenthood statuses between ages 16 and 50 years. Sequence analysis was used to group women with similar work-family life histories; we identified 5 profiles characterized by similar timing and transitions of combined work, marital, and parenthood statuses. Memory performance was assessed biennially from 1995 to 2016. We estimated associations between work-family profiles and later-life memory decline with linear mixed-effects models adjusted for practice effects, baseline age, race/ethnicity, birth region, childhood socioeconomic status, and educational attainment.

Results

There were 6,189 study participants (n = 488 working nonmothers, n = 4,326 working married mothers, n = 530 working single mothers, n = 319 nonworking single mothers, n = 526 nonworking married mothers). Mean baseline age was 57.2 years; average follow-up was 12.3 years. Between ages 55 and 60, memory scores were similar across work-family profiles. After age 60, average rate of memory decline was more than 50% greater among women whose work-family profiles did not include working for pay after childbearing, compared with those who were working mothers.

Conclusions

Women who worked for pay in early adulthood and midlife experienced slower rates of later-life memory decline, regardless of marital and parenthood status, suggesting participation in the paid labor force may protect against later-life memory decline.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Hebert LE, Weuve J, Scherr PA, Evans DA. Alzheimer disease in the United States (2010-2050) estimated using the 2010 census. Neurology 2013;80:1778–1783.
2.
Alzheimer's Association. 2019 Alzheimer's disease facts and figures. Alzheimers Dement 2019;15:3.
3.
Andrew MK, Tierney MC. The puzzle of sex, gender and Alzheimer's disease: why are women more often affected than men? Womens Health 2018;14:174550651881799.
4.
Mayeda ER. Invited commentary: examining sex/gender differences in risk of Alzheimer disease and related dementias: challenges and future directions. Am J Epidemiol 2019;188:1224–1227.
5.
Goldin C. The quiet revolution that transformed women's employment, education, and family. Am Econ Rev 2006;96:1–21.
6.
Kröger E, Andel R, Lindsay J, Benounissa Z, Verreault R, Laurin D. Is complexity of work associated with risk of dementia? Am J Epidemiol 2008;167:820–830.
7.
Vemuri P, Lesnick TG, Przybelski SA, et al. Association of lifetime intellectual enrichment with cognitive decline in the older population. JAMA Neurol 2014;71:1017–1024.
8.
Pool LR, Weuve J, Wilson RS, Bültmann U, Evans DA, Mendes de Leon CF. Occupational cognitive requirements and late-life cognitive aging. Neurology 2016;86:1386–1392.
9.
Kobayashi LC, Feldman JM. Employment trajectories in midlife and cognitive performance in later life: longitudinal study of older American men and women. J Epidemiol Community Health 2019;73:232–238.
10.
Sommerlad A, Sabia S, Singh-Manoux A, Lewis G, Livingston G. Association of social contact with dementia and cognition: 28-year follow-up of the Whitehall II cohort study. PLoS Med 2019;16:e1002862.
11.
Kuiper JS, Zuidersma M, Zuidema SU, et al. Social relationships and cognitive decline: a systematic review and meta-analysis of longitudinal cohort studies. Int J Epidemiol 2016;45:1169–1206.
12.
Mani A, Mullainathan S, Shafir E, Zhao J. Poverty impedes cognitive function. Science 2013;341:976–980.
13.
Berkman LF, Zheng Y, Glymour MM. Mothering alone: cross-national comparisons of later-life disability and health among women who were single mothers. J Epidemiol Community Heal 2015;69:865–872.
14.
Berkman PL. Spouseless motherhood, psychological stress, and physical morbidity. J Health Soc Behav 1969;10:323–334.
15.
Young LE, Cunningham SL, Buist DSM. Lone mothers are at higher risk for cardiovascular disease compared with partnered mothers. Data from the National Health and Nutrition Examination Survey III (NHANES III). Health Care Women Int 2005;26:604–621.
16.
McKetta S, Prins SJ, Platt J, Bates LM, Keyes K. Social sequencing to determine patterns in health and work–family trajectories for U.S. women, 1968–2013. SSM Popul Heal 2018;6:301–308.
17.
Sabbath EL, Guevara IM, Glymour MM, Berkman LF. Use of life course work–family profiles to predict mortality risk among US women. Am J Public Health 2015;105:e96–e102.
18.
Van Hedel K, Mejía-Guevara I, Avendaño M, et al. Work-family trajectories and the higher cardiovascular risk of American women relative to women in 13 European countries. Public Health 2016;106:1449–1456.
19.
Weuve J, Proust-Lima C, Power MC, et al. Guidelines for reporting methodological challenges and evaluating potential bias in dementia research. Alzheimers Dement 2015;11:1098–1109.
20.
Sonnega A, Faul JD, Ofstedal MB, Langa KM, Phillips JW, Weir DR. Cohort profile: the Health and Retirement Study (HRS). Int J Epidemiol 2014;43:576–585.
21.
Abbott A. Sequence analysis: new methods for old ideas. Annu Rev Sociol 1995;21:93–113.
22.
Aisenbrey S, Fasang AE. New life for old ideas: the “second wave” of sequence analysis bringing the “course” back into the life course. Sociol Methods Res 2009;38:420–462.
23.
Wu LL. Some comments on “sequence analysis and optimal matching methods in sociology: review and prospect. Sociol Methods Res 2000;29:41–64.
24.
Wu Q, Tchetgen Tchetgen EJ, Osypuk TL, White K, Mujahid M, Maria Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord 2013;27:207–212.
25.
Jorm AF. A short form of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): development and cross-validation. Psychol Med 1994;24:145–153.
26.
Jorm AF, Christensen H, Korten AE, Jacomb PA, Henderson AS. Informant ratings of cognitive decline in old age: validation against change on cognitive tests over 7 to 8 years. Psychol Med 2000;30:981–985.
27.
Health and Retirement Study. Health and Retirement Study 2016 Tracker Early, Version 3.0 Data Description and Usage [online]. 2019. Available at: hrs.isr.umich.edu/news/hrs-tracker-2016-early-version-30. Accessed November 27, 2019.
28.
Vivot A, Power MC, Glymour MM, et al. Jump, hop, or skip: modeling practice effects in studies of determinants of cognitive change in older adults. Am J Epidemiol 2016;183:302–314.
29.
Glymour MM, Kosheleva A, Boden-Albala B. Birth and adult residence in the Stroke Belt independently predict stroke mortality. Neurology 2009;73:1858–1865.
30.
Howard VJ, McClure LA, Maria Glymour M, et al. Effect of duration and age at exposure to the stroke belt on incident stroke in adulthood. Neurology 2013;80:1655–1661.
31.
Glymour MM, Kosheleva A, Wadley VG, Weiss C, Manly JJ. Geographic distribution of dementia mortality. Alzheimer Dis Assoc Disord 2011;25:196–202.
32.
Liu SY, Glymour MM, Zahodne LB, Weiss C, Manly JJ. Role of place in explaining racial heterogeneity in cognitive outcomes among older adults. J Int Neuropsychol Soc 2015;21:677–687.
33.
Gilsanz P, Mayeda ER, Glymour MM, Quesenberry CP, Whitmer RA. Association between birth in a high stroke mortality state, race, and risk of dementia. JAMA Neurol 2017;74:1056–1062.
34.
Vable AM, Gilsanz P, Nguyen TT, Kawachi I, Glymour MM. Validation of a theoretically motivated approach to measuring childhood socioeconomic circumstances in the Health and Retirement Study. PLoS One 2017;12:e0185898.
35.
Bugliari D, Campbell N, Chan C, et al. RAND HRS Longitudinal File 2016 (V1) Documentation; 2019.
36.
Weiss RE. Modeling Longitudinal Data. New York: Springer Science & Business Media; 2005.
37.
Petersen RC, Lopez O, Armstrong MJ, et al. Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation. Neurology 2018;90:126–135.
38.
Zhang D, Chen MH, Ibrahim JG, Boye ME, Shen W. JMFit: a SAS macro for joint models of longitudinal and survival data. J Stat Softw 2016;71:1–24.
39.
Ice E, Ang S, Greenberg K, Burgard S. Women's work-family histories and cognitive performance in later life. Am J Epidemiol 2020;189:922–930.
40.
Dufouil C, Pereira E, Ve Chêne G, et al. Older age at retirement is associated with decreased risk of dementia. Eur J Epidemiol 2014;29:353–361.
41.
Xue B, Cadar D, Fleischmann M, et al. Effect of retirement on cognitive function: the Whitehall II cohort study. Eur J Epidemiol 2018;33:989–1001.

Information & Authors

Information

Published In

Neurology®
Volume 95Number 23December 8, 2020
Pages: e3072-e3080
PubMed: 33148811

Publication History

Received: February 4, 2020
Accepted: August 3, 2020
Published online: November 4, 2020
Published in print: December 8, 2020

Permissions

Request permissions for this article.

Disclosure

The authors report no disclosures relevant to the manuscript. Go to Neurology.org/N for full disclosures.

Study Funding

This work was supported by National Institute on Aging grant numbers R00AG053410 and R01AG040248 and the Karen Toffler Charitable Trust.

Authors

Affiliations & Disclosures

Elizabeth Rose Mayeda, PhD, MPH
From the Departments of Epidemiology (E.R.M., T.M.M.) and Biostatistics (R.E.W.), University of California, Los Angeles Fielding School of Public Health; Department of Epidemiology and Biostatistics (E.R.M., A.R.M.), University of California, San Francisco; Departments of Epidemiology (A.R.M., L.F.B.) and Social and Behavioral Sciences (L.F.B.), Harvard T.H. Chan School of Public Health, Boston; and School of Social Work (E.L.S.), Boston College, Chestnut Hill, MA.
Disclosure
Scientific Advisory Boards:
1.
NONE
Gifts:
1.
NONE
Funding for Travel or Speaker Honoraria:
1.
NONE
Editorial Boards:
1.
NONE
Patents:
1.
NONE
Publishing Royalties:
1.
NONE
Employment, Commercial Entity:
1.
NONE
Consultancies:
1.
NONE
Speakers' Bureaus:
1.
NONE
Other Activities:
1.
NONE
Clinical Procedures or Imaging Studies:
1.
NONE
Research Support, Commercial Entities:
1.
NONE
Research Support, Government Entities:
1.
(1) National Institute on Aging, grant number R00AG053410, role: PI, 9/2016-3/2021 (2) National Institute on Aging, grant number R01AG059872, role: Co-I, 8/2018-4/2022 (3) National Institute on Aging, grant number R01AG057869, role: Co-I, 9/2018-4/2023 (4) National Institute on Aging, grant number R01AG063969, role: PI, 9/2019-4/2023 (5) National Institute on Aging, grant number R01AG066132, role: Co-I, 9/2019-5/2024 (6) California Department of Public Health, no grant number; grant in response to Request for Application # 19-10538, role: Co-I, 4/2020-6/2022
Research Support, Academic Entities:
1.
NONE
Research Support, Foundations and Societies:
1.
Karen Toffler Charitable Trust
Stock/stock Options/board of Directors Compensation:
1.
NONE
License Fee Payments, Technology or Inventions:
1.
NONE
Royalty Payments, Technology or Inventions:
1.
NONE
Stock/stock Options, Research Sponsor:
1.
NONE
Stock/stock Options, Medical Equipment & Materials:
1.
NONE
Legal Proceedings:
1.
NONE
Taylor M. Mobley, MPH
From the Departments of Epidemiology (E.R.M., T.M.M.) and Biostatistics (R.E.W.), University of California, Los Angeles Fielding School of Public Health; Department of Epidemiology and Biostatistics (E.R.M., A.R.M.), University of California, San Francisco; Departments of Epidemiology (A.R.M., L.F.B.) and Social and Behavioral Sciences (L.F.B.), Harvard T.H. Chan School of Public Health, Boston; and School of Social Work (E.L.S.), Boston College, Chestnut Hill, MA.
Disclosure
Scientific Advisory Boards:
1.
NONE
Gifts:
1.
NONE
Funding for Travel or Speaker Honoraria:
1.
NONE
Editorial Boards:
1.
NONE
Patents:
1.
NONE
Publishing Royalties:
1.
NONE
Employment, Commercial Entity:
1.
NONE
Consultancies:
1.
NONE
Speakers' Bureaus:
1.
NONE
Other Activities:
1.
NONE
Clinical Procedures or Imaging Studies:
1.
NONE
Research Support, Commercial Entities:
1.
NONE
Research Support, Government Entities:
1.
NONE
Research Support, Academic Entities:
1.
NONE
Research Support, Foundations and Societies:
1.
NONE
Stock/stock Options/board of Directors Compensation:
1.
NONE
License Fee Payments, Technology or Inventions:
1.
NONE
Royalty Payments, Technology or Inventions:
1.
NONE
Stock/stock Options, Research Sponsor:
1.
NONE
Stock/stock Options, Medical Equipment & Materials:
1.
NONE
Legal Proceedings:
1.
NONE
Robert E. Weiss, PhD
From the Departments of Epidemiology (E.R.M., T.M.M.) and Biostatistics (R.E.W.), University of California, Los Angeles Fielding School of Public Health; Department of Epidemiology and Biostatistics (E.R.M., A.R.M.), University of California, San Francisco; Departments of Epidemiology (A.R.M., L.F.B.) and Social and Behavioral Sciences (L.F.B.), Harvard T.H. Chan School of Public Health, Boston; and School of Social Work (E.L.S.), Boston College, Chestnut Hill, MA.
Disclosure
Scientific Advisory Boards:
1.
NONE
Gifts:
1.
NONE
Funding for Travel or Speaker Honoraria:
1.
NONE
Editorial Boards:
1.
Biometrics, Associate Editor, 2010-present
Patents:
1.
NONE
Publishing Royalties:
1.
(1) Modeling Longitudinal Data, Springer, 2005
Employment, Commercial Entity:
1.
NONE
Consultancies:
1.
(1) Amgen
Speakers' Bureaus:
1.
NONE
Other Activities:
1.
NONE
Clinical Procedures or Imaging Studies:
1.
NONE
Research Support, Commercial Entities:
1.
NONE
Research Support, Government Entities:
1.
(1) NIMH, P 30 MH 58107, biostatistician, 9/30/97 – 1/31/22 (2) CHRP, OS17-LA-003, 04/01/18 – 03/31/22, Biostatistician (3) NIMHD, 1 R01 MD011773-01 NIMHD, 8/10/17 – 06/30/22, Biostatistician (4) NIH, EY029792, 04/01/20 – 03/31/2024, Biostatistician (5) NIMH, 1R01MH103076, 09/01/14 – 08/31/19, Biostatistician (6) NIH/NIDA, 1R01DA038675, 04/15/15 – 03/31/20, Biostatistician
Research Support, Academic Entities:
1.
NONE
Research Support, Foundations and Societies:
1.
NONE
Stock/stock Options/board of Directors Compensation:
1.
NONE
License Fee Payments, Technology or Inventions:
1.
NONE
Royalty Payments, Technology or Inventions:
1.
NONE
Stock/stock Options, Research Sponsor:
1.
NONE
Stock/stock Options, Medical Equipment & Materials:
1.
NONE
Legal Proceedings:
1.
(1) Law firm, expert witness, 2018-2019
Audrey R. Murchland, MPH
From the Departments of Epidemiology (E.R.M., T.M.M.) and Biostatistics (R.E.W.), University of California, Los Angeles Fielding School of Public Health; Department of Epidemiology and Biostatistics (E.R.M., A.R.M.), University of California, San Francisco; Departments of Epidemiology (A.R.M., L.F.B.) and Social and Behavioral Sciences (L.F.B.), Harvard T.H. Chan School of Public Health, Boston; and School of Social Work (E.L.S.), Boston College, Chestnut Hill, MA.
Disclosure
Scientific Advisory Boards:
1.
NONE
Gifts:
1.
NONE
Funding for Travel or Speaker Honoraria:
1.
NONE
Editorial Boards:
1.
NONE
Patents:
1.
NONE
Publishing Royalties:
1.
NONE
Employment, Commercial Entity:
1.
NONE
Consultancies:
1.
NONE
Speakers' Bureaus:
1.
NONE
Other Activities:
1.
NONE
Clinical Procedures or Imaging Studies:
1.
NONE
Research Support, Commercial Entities:
1.
NONE
Research Support, Government Entities:
1.
NIA grant R00AG053410 (PI: Mayeda)
Research Support, Academic Entities:
1.
NONE
Research Support, Foundations and Societies:
1.
NONE
Stock/stock Options/board of Directors Compensation:
1.
NONE
License Fee Payments, Technology or Inventions:
1.
NONE
Royalty Payments, Technology or Inventions:
1.
NONE
Stock/stock Options, Research Sponsor:
1.
NONE
Stock/stock Options, Medical Equipment & Materials:
1.
NONE
Legal Proceedings:
1.
NONE
Lisa F. Berkman, PhD
From the Departments of Epidemiology (E.R.M., T.M.M.) and Biostatistics (R.E.W.), University of California, Los Angeles Fielding School of Public Health; Department of Epidemiology and Biostatistics (E.R.M., A.R.M.), University of California, San Francisco; Departments of Epidemiology (A.R.M., L.F.B.) and Social and Behavioral Sciences (L.F.B.), Harvard T.H. Chan School of Public Health, Boston; and School of Social Work (E.L.S.), Boston College, Chestnut Hill, MA.
Disclosure
Scientific Advisory Boards:
1.
NONE
Gifts:
1.
NONE
Funding for Travel or Speaker Honoraria:
1.
NONE
Editorial Boards:
1.
NONE
Patents:
1.
NONE
Publishing Royalties:
1.
NONE
Employment, Commercial Entity:
1.
NONE
Consultancies:
1.
NONE
Speakers' Bureaus:
1.
NONE
Other Activities:
1.
NONE
Clinical Procedures or Imaging Studies:
1.
NONE
Research Support, Commercial Entities:
1.
NONE
Research Support, Government Entities:
1.
1) NICHD/NIA U01 5186989-01 [PI] 2) NIA P30 AG024409-04 [co-I] 3) NIA 1R21AG032572-01 [co-I] 4) NCI R25 CA057713-05 [co-I]
Research Support, Academic Entities:
1.
NONE
Research Support, Foundations and Societies:
1.
1) Robert Wood Johnson Foundation 2) Macarthur Foundation
Stock/stock Options/board of Directors Compensation:
1.
NONE
License Fee Payments, Technology or Inventions:
1.
NONE
Royalty Payments, Technology or Inventions:
1.
NONE
Stock/stock Options, Research Sponsor:
1.
NONE
Stock/stock Options, Medical Equipment & Materials:
1.
NONE
Legal Proceedings:
1.
NONE
Erika L. Sabbath, ScD
From the Departments of Epidemiology (E.R.M., T.M.M.) and Biostatistics (R.E.W.), University of California, Los Angeles Fielding School of Public Health; Department of Epidemiology and Biostatistics (E.R.M., A.R.M.), University of California, San Francisco; Departments of Epidemiology (A.R.M., L.F.B.) and Social and Behavioral Sciences (L.F.B.), Harvard T.H. Chan School of Public Health, Boston; and School of Social Work (E.L.S.), Boston College, Chestnut Hill, MA.
Disclosure
Scientific Advisory Boards:
1.
NONE
Gifts:
1.
NONE
Funding for Travel or Speaker Honoraria:
1.
NONE
Editorial Boards:
1.
NONE
Patents:
1.
NONE
Publishing Royalties:
1.
NONE
Employment, Commercial Entity:
1.
NONE
Consultancies:
1.
NONE
Speakers' Bureaus:
1.
NONE
Other Activities:
1.
NONE
Clinical Procedures or Imaging Studies:
1.
NONE
Research Support, Commercial Entities:
1.
NONE
Research Support, Government Entities:
1.
National Institute for Occupational Safety and Health, 2U19 OH008861-10, Co-investigator, 2016-2021 National Institute for Occupational Safety and Health, K01 OH010673-02, Principal investigator, 2014-2018
Research Support, Academic Entities:
1.
NONE
Research Support, Foundations and Societies:
1.
NONE
Stock/stock Options/board of Directors Compensation:
1.
NONE
License Fee Payments, Technology or Inventions:
1.
NONE
Royalty Payments, Technology or Inventions:
1.
NONE
Stock/stock Options, Research Sponsor:
1.
NONE
Stock/stock Options, Medical Equipment & Materials:
1.
NONE
Legal Proceedings:
1.
NONE

Notes

Correspondence Dr. Mayeda [email protected]
Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

Metrics & Citations

Metrics

Citation information is sourced from Crossref Cited-by service.

Citations

Download Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Select your manager software from the list below and click Download.

Cited By
  1. Mid-life employment trajectories and subsequent memory function and rate of decline in rural South Africa, 2000–22, International Journal of Epidemiology, 53, 2, (2024).https://doi.org/10.1093/ije/dyae022
    Crossref
  2. Impact of work type and APOE-e4 status on cognitive functioning in older women, Journal of Women & Aging, 36, 5, (427-433), (2024).https://doi.org/10.1080/08952841.2024.2361203
    Crossref
  3. Determinants of cognitive skills in adulthood: Age cohort patterns, International Journal of Lifelong Education, (1-22), (2024).https://doi.org/10.1080/02601370.2024.2390070
    Crossref
  4. Alzheimer’s disease as a women’s health challenge: a call for action on integrative precision medicine approaches, npj Women's Health, 2, 1, (2024).https://doi.org/10.1038/s44294-024-00021-3
    Crossref
  5. Life course financial mobility and later-life memory function and decline by gender, and race and ethnicity: an intersectional analysis of the US KHANDLE and STAR cohort studies, The Lancet Healthy Longevity, 5, 9, (100613), (2024).https://doi.org/10.1016/S2666-7568(24)00129-6
    Crossref
  6. Loneliness, depression, and cognitive function among Iranian older adults: is gender important?, Current Psychology, 43, 21, (19091-19099), (2024).https://doi.org/10.1007/s12144-024-05740-z
    Crossref
  7. Promoting diverse perspectives: Addressing health disparities related to Alzheimer's and all dementias, Alzheimer's & Dementia, 20, 4, (3099-3107), (2024).https://doi.org/10.1002/alz.13752
    Crossref
  8. Care sequences leading to the diagnosis of Alzheimer's disease and related dementias: An analysis of electronic health records, Alzheimer's & Dementia, 20, 3, (2155-2164), (2024).https://doi.org/10.1002/alz.13669
    Crossref
  9. Bridging the Divide: Tackling Tensions Between Life-Course Epidemiology and Causal Inference, Annual Review of Developmental Psychology, 5, 1, (355-374), (2023).https://doi.org/10.1146/annurev-devpsych-120221-033623
    Crossref
  10. Number of children and cognitive function among Chinese menopausal women: The mediating role of depressive symptoms and social participation, Journal of Affective Disorders, 340, (758-765), (2023).https://doi.org/10.1016/j.jad.2023.08.084
    Crossref
  11. See more
Loading...

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Personal login Institutional Login
Purchase Options

The neurology.org payment platform is currently offline. Our technical team is working as quickly as possible to restore service.

If you need immediate support or to place an order, please call or email customer service:

  • 1-800-638-3030 for U.S. customers - 8:30 - 7 pm ET (M-F)
  • 1-301-223-2300 for customers outside the U.S. - 8:30 - 7 pm ET (M-F)
  • [email protected]

We appreciate your patience during this time and apologize for any inconvenience.

View options

PDF and All Supplements

Download PDF and Supplementary Material

Short Form

View Short Form

Full Text

View Full Text

Full Text HTML

View Full Text HTML

Media

Figures

Other

Tables

Share

Share

Share article link

Share