| Literature DB >> 33271947 |
Abstract
(1) Background: The purpose of this meta-analysis was to investigate associations between physical activity (PA) and risks and mortality of liver cancer (LC) to suggest a minimum physical activity threshold to reduce LC risks and morality. (2)Entities:
Keywords: lung cancer; meta-analysis; mortality; physical activity
Year: 2020 PMID: 33271947 PMCID: PMC7730643 DOI: 10.3390/ijerph17238943
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of selected studies: physical activity and liver cancer risks and mortality.
| First Author (Year), Name of | Sample Size Study, Recruitment | Follow-Up | Criteria of the | Exercise Assessment | Relative Ratio (95% CI) | Adjusted for | |
|---|---|---|---|---|---|---|---|
| Arem (2017), the NIH-AARP Diet and Health study cohort, U.S.A. | 566,398 (1995–1997), | Median: | Hepatocellular carcinoma (HCC) with morphology code, and cancer | Physical activity |
| Sex, and age | |
| Low | 1 | ||||||
| High | 0.70 (0.54, 0.90) | ||||||
| Met recommendations | 0.60 (0.41, 1.01) | ||||||
| Baumeister (2019), Multinational cohort study, 10 countries | 467,336 | Mean: 14.9 years | International | Physical activity |
| Education, smoking baseline alcohol | |
| Inactive | 1 | ||||||
| Moderately Inactive | 0.65 (0.48, 0.89) | ||||||
| Moderately active | 0.49 (0.34, 0.71) | ||||||
| Active | 0.55 (0.38, 0.80) | ||||||
|
| |||||||
| None | 1 | ||||||
| ≤2 h/week | 0.50 (0.33, 0.75) | ||||||
| >2 h/week | 0.50 (0.33, 0.76) | ||||||
| Behrens (2013), the NIH-AARPDiet and Health Study, | 4,604,015 (1995–2006), mean age 62(5.4) | Median: 9.1 years | North American Association of Central Cancer | Physical activity questionnaire |
| Age and sex | |
| 0 | 1 | ||||||
| <1 | 0.73 (0.56, 0.95) | ||||||
| 1–2 | 0.70 (0.56, 0.88) | ||||||
| 2–3 | 0.54 (0.43, 0.68) | ||||||
| 5+ | 0.45 (0.35, 0.58) | ||||||
| Inoue (2008), the Japan | 79,771 | 7.5 years | International Classification of Diseases | Physical activity |
| Age, total energy intake, history of diabetes, | |
| Lowest | 1 | ||||||
| Second | 0.69 (0.45, 1.06) | ||||||
| Third | 1.01 (0.69, 1.49) | ||||||
| Highest | 0.62 (0.40, 0.96) | ||||||
|
| |||||||
| Lowest | 1 | ||||||
| Second | 0.96 (0.52, 1.78) | ||||||
| Third | 0.99 (0.53, 1.84) | ||||||
| Highest | 0.54 (0.23, 1.29) | ||||||
| Moore (2016), the Physical | 1,440,000 (1987–2004), the median age 59 years | A median 11 years | The international | Physical activity |
| BMI | |
| Lower | 1 | ||||||
| Higher | 0.73 (0.70, 0.76) | ||||||
| Simon (2019), the Nurses’ Health Study and the Health Professionals Follow-up Study, U.S.A. | 125,264 (1986–1989), aged 30–55 years | 12 years | National Death Index, | Physical activity |
| Age | |
| Lowest | 1 | ||||||
| Second | 0.70 (0.51, 0.96) | ||||||
| Third | 0.59 (0.42, 0.84) | ||||||
| Fourth | 0.52 (0.36, 0.74) | ||||||
| Highest | 0.46 (0.31, 0.78) | ||||||
| Suzuki (2007), the Japan | 69,752 (2005–2011), aged 40–79 years | 12 years | ICD-10 | Physical activity |
| Age, sex, area | |
| <1 h/week | 1 | ||||||
| >3 h/week | 0.81 (0.71, 0.92) | ||||||
|
| |||||||
| >1 h/day | 1 | ||||||
| 0.5–1 h/day | 0.81 (0.71, 0.92) | ||||||
| <0.5 h/day | 1.43 (1.10, 1.86) | ||||||
|
| |||||||
| >1 h/day | 1 | ||||||
| 0.5–1 h/day | 1.03 (0.67, 1.65) | ||||||
| <0.5 h/day | 1.84 (1.27, 2.66) | ||||||
| Ukawa (2014), | 69,752 (1998–1990), aged 40–79 years | 19.4 years | International | Physical activity |
| Age, sex, study area, smoking status, alcohol | |
| ≤0.5 h/day | 1 | ||||||
| >0.5 h/day | 0.77 (0.59, 0.99) | ||||||
|
| |||||||
| ≤0.5 h/day | 1 | ||||||
| >0.5 h/day | 0.81 (0.58, 1.14) | ||||||
|
| |||||||
| ≤0.5 h/day | 1 | ||||||
| >0.5 h/day | 0.70 (0.47, 1.07) | ||||||
| Wen (2010), Health Management Institution of prospective cohort study, Taiwan | 416,175 (1976–2007), aged 20–79 years | 8.5 years | National Death file and the National Cancer | Physical activity |
| Age, sex, education, activity at work, smoking, drinking, fasting blood glucose, systolic blood | |
| Inactive | 1 | ||||||
| Low | 0.97 (0.80, 1.18) | ||||||
| Medium | 0.92 (0.75, 1.12) | ||||||
| High | 0.80 (0.60, 1.07) | ||||||
| Very high | 0.65 (0.49, 0.86) | ||||||
| Total | 0.85 (0.72, 0.99) | ||||||
|
| |||||||
| Inactive | 1 | ||||||
| Low | 0.95 (0.82, 1.10) | ||||||
| Medium | 0.85 (0.73, 1.00) | ||||||
| High | 0.87 (0.70, 1.08) | ||||||
| Very high | 0.70 (0.56, 0.86) | ||||||
| Total | 0.81 (0.71, 0.92) | ||||||
| Yun (2008), National Health | 444,963 (1996–2002) mean age 49 (6.5) | 6 years | Korean Central Cancer Registry | Physical activity |
| Age | |
| Low | 1 | ||||||
| Moderate to high | 0.85 (0.79, 0.92) | ||||||
Figure 1Selection process for the systematic review and meta-analysis.
Figure 2Physical activity and liver cancer risks.
Figure 3Vigorous intensity and moderate amount of physical activity, and liver cancer risks
Figure 4Physical activity, and liver cancer mortality.