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Comparison of Pre-Diagnosis Physical Activity and Its Correlates Between Lung and Other Cancer Patients: Accelerometer Data from the UK Biobank Prospective Cohort

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Publisher MDPI
Date 2023 Jan 21
PMID 36673757
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Abstract

Purpose: Physical activity (PA) plays an important role in health outcomes for people with cancer, and pre-diagnosis PA influences PA behaviors after cancer treatment. Less is known about the PA of lung cancer patients, and the strong history of smoking could influence pre-diagnosis levels of PA and place them at risk for health problems. This study aimed to compare pre-diagnosis PA and its correlates in patients with lung cancer and other types of cancer (female breast, colorectal, and prostate cancer) and examine the relationship between pre-diagnosis PA and all-cause mortality. Methods: This study used data from the UK Biobank, which is a national cohort study with accelerometry data. We included 2662 participants and used adjusted linear regressions and survival analyses. Results: Male and female lung cancer groups spent a mean of 78 and 91 min/day in pre-diagnosis moderate to vigorous PA (MVPA), respectively; this is lower than the 3 other types of cancer (p < 0.001). Younger age and faster walking pace had a strong association with PA in all the four types of cancer (p < 0.01). Smoking status had a strong association with PA in the lung cancer group, while obesity had a strong association with PA in female breast, colorectal, and prostate cancer (p < 0.01). Higher levels of pre-diagnosis MVPA (≥1.5 h/day) were associated with a significantly lower all-cause mortality risk. Conclusions: The present study suggests that lung cancer patients are the most inactive population before diagnosis. The identified difference in correlates of PA suggest that cancer-specific approaches are needed in PA research and practices. This study also highlights the importance of high PA for individuals with high cancer risk.

Citing Articles

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.

Liang Y, Wang C, Hsiao C J Med Internet Res. 2024; 26:e59497.

PMID: 39259962 PMC: 11425027. DOI: 10.2196/59497.

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