| Title |
Body Mass and Physical Activity Uniquely Predict Change in Cognition for Aging Adults
|
|---|---|
| Published in |
Annals of Behavioral Medicine, January 2016
|
| DOI | 10.1007/s12160-015-9768-2 |
| Pubmed ID | |
| Authors |
Molly Memel, Kyle Bourassa, Cindy Woolverton, David A. Sbarra |
| Abstract |
Physical activity and body mass predict cognition in the elderly. However, mixed evidence suggests that obesity is associated with poorer cognition, while also protecting against cognitive decline in older age. We investigated whether body mass independently predicted cognition in older age and whether these associations changed over time. A latent curve structural equation modeling approach was used to analyze data from a sample of aging adults (N = 8442) split into two independent subsamples, collected over 6 years. Lower baseline Body Mass Index (BMI) and higher physical activity independently predicted greater baseline cognition (p < 0.001). Decreases in BMI and physical activity independently predicted greater decline in the slope of cognition (p < 0.001). Our results support the obesity paradox in cognitive aging, with lower baseline body mass predicting better cognition, but less decline over time protecting against cognitive decline. We discuss how weight loss in the elderly may serve as a useful indicator of co-occurring cognitive decline, and we discuss implications for health care professionals. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 37% |
| Saudi Arabia | 2 | 11% |
| United Kingdom | 2 | 11% |
| Netherlands | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 53% |
| Scientists | 8 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 13% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 13 | 12% |
| Student > Doctoral Student | 11 | 10% |
| Student > Ph. D. Student | 9 | 8% |
| Other | 20 | 18% |
| Unknown | 32 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 19% |
| Medicine and Dentistry | 14 | 13% |
| Neuroscience | 9 | 8% |
| Sports and Recreations | 9 | 8% |
| Nursing and Health Professions | 6 | 5% |
| Other | 14 | 13% |
| Unknown | 39 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2019.
All research outputs
#1,520,580
of 25,381,151 outputs
Outputs from Annals of Behavioral Medicine
#182
of 1,482 outputs
Outputs of similar age
#25,626
of 398,797 outputs
Outputs of similar age from Annals of Behavioral Medicine
#3
of 30 outputs
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