Work

Physical Activity Change in an RCT: Comparison of Measurement Methods

Year: 2019

Type: article

Abstract: Intervention researchers are facing the issue of self-report measures introducing bias and accelerometer cut-points being insensi- tive. Machine learning approaches may bridge this gap.

Source: American Journal of Health Behavior

DOI: 10.5993/ajhb.43.3.9

Authors: Sandahl H. Nelson, Loki Natarajan, Ruth E. Patterson, Sheri J. Hartman, Caroline A. Thompson, Suneeta V. Godbole, Eileen Johnson, Catherine R. Marinac, Jacqueline Kerr

Language: English

Topic: Physical Activity and Health

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

Awards: G3051291632, Energetics & Breast Cancer: Obesity, Inflammation, Insulin Resistance & Risk, G7908021508

OpenAlex ID: W2942946051

FWCI: 0.285

Cites: 32

Cited by: 6

Related to: 10