» Articles » PMID: 24347682

Gender Differences in Cognition Among Older Adults in China

Overview
Journal J Hum Resour
Specialty Public Health
Date 2013 Dec 19
PMID 24347682
Citations 98
Authors
Affiliations
Soon will be listed here.
Abstract

In this paper, we model gender differences in cognitive ability in China using a new sample of middle-aged and older Chinese respondents. Modeled after the American Health and Retirement Study (HRS), the CHARLS Pilot survey respondents are 45 years and older in two quite distinct provinces-Zhejiang, a high-growth industrialized province on the East Coast, and Gansu, a largely agricultural and poor province in the West-in a sense new and old China. Our cognition measures proxy for two different dimensions of adult cognition-episodic memory and intact mental status. On both measures, Chinese women score much lower than do Chinese men, a gender difference that grows among older Chinese cohorts. We relate both these cognition scores to schooling, urban residence, family and community levels of economic resources, and height. We find that cognition is more closely related to mean community resources than to family resources, especially for women, suggesting that in traditional poor Chinese communities there are strong economic incentives to favor boys at the expense of girls. We also find that these gender differences in cognitive ability have been steadily decreasing across birth cohorts as the economy of China grew rapidly. Among cohorts of young adults in China, there is no longer any gender disparity in cognitive ability. This parallels the situation in the United States where cognition scores of adult women actually exceed those of adult men.

Citing Articles

Association between TyG-BMI and BPH in a national prospective cohort study.

Li B, Zhang Z, Sun C, Sun Y, Li J, Liu X Sci Rep. 2025; 15(1):8743.

PMID: 40082448 PMC: 11906792. DOI: 10.1038/s41598-024-81629-y.


Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability.

Ma K, Zhang J, Huang X, Wang M BMC Public Health. 2025; 25(1):504.

PMID: 39920671 PMC: 11804031. DOI: 10.1186/s12889-025-21762-z.


Association between social engagement decline and cognitive function changes: mediating effect of depressive symptoms.

Ni P, Chen H, Hu X Aging Clin Exp Res. 2024; 37(1):7.

PMID: 39725854 PMC: 11671422. DOI: 10.1007/s40520-024-02897-2.


Study on the age-period-cohort effects of cognitive abilities among older Chinese adults based on the cognitive reserve hypothesis.

Yang Q, Yu T BMC Geriatr. 2024; 24(1):992.

PMID: 39633278 PMC: 11616311. DOI: 10.1186/s12877-024-05576-z.


Associations between modifiable risk factors and cognitive function in middle-aged and older Chinese adults: joint modelling of longitudinal and survival data.

Ran Q, Yang F, Su Q, Li P, Hu Y Front Public Health. 2024; 12:1485556.

PMID: 39624409 PMC: 11609063. DOI: 10.3389/fpubh.2024.1485556.


References
1.
Strauss J, Lei X, Park A, Shen Y, Smith J, Yang Z . Health Outcomes and Socio-Economic Status Among the Elderly in Gansu and Zhejiang Provinces, China: Evidence from the CHARLS Pilot. J Popul Ageing. 2013; 3(3-4):111-142. PMC: 3608278. DOI: 10.1007/s12062-011-9033-9. View

2.
Beaman L, Duflo E, Pande R, Topalova P . Female leadership raises aspirations and educational attainment for girls: a policy experiment in India. Science. 2012; 335(6068):582-6. PMC: 3394179. DOI: 10.1126/science.1212382. View

3.
Case A, Paxson C . Stature and status: Height, ability, and labor market outcomes. J Polit Econ. 2011; 116(3):499-532. PMC: 2709415. DOI: 10.1086/589524. View

4.
Levy R . Aging-associated cognitive decline. Working Party of the International Psychogeriatric Association in collaboration with the World Health Organization. Int Psychogeriatr. 1994; 6(1):63-8. View

5.
McArdle J, Fisher G, Kadlec K . Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004. Psychol Aging. 2007; 22(3):525-545. DOI: 10.1037/0882-7974.22.3.525. View