Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2019 Oct 4;74(11):1793-1804.
doi: 10.1093/gerona/glz057.

A Multi-study Coordinated Meta-analysis of Pulmonary Function and Cognition in Aging

Affiliations
Meta-Analysis

A Multi-study Coordinated Meta-analysis of Pulmonary Function and Cognition in Aging

Emily C Duggan et al. J Gerontol A Biol Sci Med Sci. .

Abstract

Background: Substantial research is dedicated to understanding the aging-related dynamics among individual differences in level, change, and variation across physical and cognitive abilities. Evaluating replicability and synthesizing these findings has been limited by differences in measurements and samples, and by study design and statistical analyses confounding between-person differences with within-person changes. In this article, we conducted a coordinated analysis and summary meta-analysis of new results on the aging-related dynamics linking pulmonary function and cognitive performance.

Methods: We performed coordinated analysis of bivariate growth models in data from 20,586 participants across eight longitudinal studies to examine individual differences in baseline level, rate of change, and occasion-specific variability in pulmonary and cognitive functioning. Results were summarized using meta-analysis.

Results: We found consistent but weak baseline and longitudinal associations in levels of pulmonary and cognitive functioning, but no associations in occasion-specific variability.

Conclusions: Results provide limited evidence for a consistent link between simultaneous changes in pulmonary and cognitive function in a normal aging population. Further research is required to understand patterns of onset of decline and differences in rates of change within and across physical and cognitive functioning domains, both within-individuals and across countries and birth cohorts. Coordinated analysis provides an efficient and rigorous approach for replicating and comparing results across independent longitudinal studies.

Keywords: Cognition; Cognitive aging; Longitudinal analysis; Normative aging; Pulmonary.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Forest plot of slope (longitudinal) associations between pulmonary functioning and mental status. This figure provides estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. Sex-specific and total aggregate correlations are provided for the domain, as well as 95% bootstrap confidence intervals (CIs) for all estimates. Correlations are organized by pulmonary measure type (PEF or FEV1) and then by study (alphabetically).
Figure 2.
Figure 2.
Forest plot of slope (longitudinal) associations between pulmonary functioning and processing speed. This figure provides estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. Sex-specific and total aggregate correlations are provided for the domain, as well as 95% bootstrap confidence intervals (CIs) for all estimates. Correlations are organized by pulmonary measure type (PEF or FEV1) and then by study (alphabetically).
Figure 3.
Figure 3.
Forest plot of slope (longitudinal) associations between pulmonary functioning and attention and working memory. This figure provides estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. Sex-specific and total aggregate correlations are provided for the domain, as well as 95% bootstrap confidence intervals (CIs) for all estimates. Correlations are organized by pulmonary measure type (PEF or FEV1) and then by study (alphabetically).
Figure 4.
Figure 4.
Forest plot of slope (longitudinal) associations between pulmonary functioning and perceptual reasoning. This figure provides estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. Sex-specific and total aggregate correlations are provided for the domain, as well as 95% bootstrap confidence intervals (CIs) for all estimates. Correlations are organized by pulmonary measure type (PEF or FEV1) and then by study (alphabetically).
Figure 5.
Figure 5.
Forest plot of slope (longitudinal) associations between pulmonary functioning and verbal abilities. This figure provides estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. Sex-specific and total aggregate correlations are provided for the domain, as well as 95% bootstrap confidence intervals (CIs) for all estimates. Correlations are organized by pulmonary measure type (PEF or FEV1) and then by study (alphabetically).
Figure 6.
Figure 6.
Forest plot of slope (longitudinal) associations between pulmonary functioning and learning and memory. This figure provides estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. Sex-specific and total aggregate correlations are provided for the domain, as well as 95% bootstrap confidence intervals (CIs) for all estimates. Correlations are organized by pulmonary measure type (PEF or FEV1) and then by study (alphabetically).
Figure 7.
Figure 7.
Forest plot of slope (longitudinal) associations between pulmonary functioning and all cognitive measures. This figure provides sex-specific and total aggregated estimated mean slope correlations from the eight studies (N = 20,586) for men and women are reported by domain. The 95% bootstrap confidence intervals (CIs) for all estimates are also reported.

References

    1. Clouston SA, Brewster P, Kuh D, et al. . The dynamic relationship between physical function and cognition in longitudinal aging cohorts. Epidemiol Rev. 2013;35:33–50. doi: 10.1093/epirev/mxs004 - DOI - PMC - PubMed
    1. Spiro A III, Brady CB. Integrating health into cognitive aging research and theory: quo vadis? In: Hofer SM, Alwin DF eds. Handbook of Cognitive Aging: Interdisciplinary Perspectives. Thousand Oaks, CA: Sage Publications, Inc.; 2008:260–283. doi:10.4135/9781412976589.n16 - DOI
    1. Lara J, Cooper R, Nissan J, et al. . A proposed panel of biomarkers of healthy ageing. BMC Med. 2015;13:222. doi:10.1186/s12916-015-0470-9 - DOI - PMC - PubMed
    1. Duggan EC, Graham RB, Piccinin AM, Clouston S, Muniz Terrera G, Hofer SM. A systematic review of pulmonary function and cognition in aging. J Ger Psy Sci Series B. 2018; online first, doi:10.1093/geronb/gby128 - DOI - PMC - PubMed
    1. Hofer SM, Flaherty BP, Hoffman L. Cross-sectional analysis of time-dependent data: mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohort samples. Multivariate Behav Res. 2006;41:165–187. doi: 10.1207/s15327906mbr4102_4 - DOI - PubMed

Publication types

MeSH terms