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Tavares VDDO, Cuthbert C, Teychenne M, Schuch FB, Cabral D, Menezes de Sousa G, Prado CM, Patten S, Galvão-Coelho NL, Hallgren M. The effects of exercise on anxiety and depression in adults with cancer: A meta-review of meta-analyses. J Psychosoc Oncol 2024:1-24. [PMID: 39704272 DOI: 10.1080/07347332.2024.2441693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2024]
Abstract
BACKGROUND This meta-review aimed to synthesize the evidence of the effects of exercise on anxiety and depression symptoms amongst adults with cancer, and cancer-survivors, comparing effects sizes between meta-analysis. METHODS Major databases were searched up to February 9, 2024 for meta-analyses evaluating the effects of exercise, using anxiety and/or depression scales. Effect size (ES) values were calculated as standardized differences in the means and expressed as the Standardized Mean Difference (SMD) with the 95% confidence interval (95%CI). A total of eight unique meta-analyses were included. RESULTS Among meta-analyses examining both anxiety and depression symptoms overall, a small beneficial effect of exercise was shown [SMD = 0.41 (0.25-0.57); p < 0.0001]. Subgroup analyses revealed that exercise has a small effect on decreasing anxiety [SMD = 0.42 (0.04-0.79); p = 0.027], and depressive symptoms [SMD = 0.38 (0.21-0.56); p < 0.0001]. In addition, aerobic exercise has a moderate effect on reducing depressive symptoms [SMD = 0.54 (0.16-0.93); p = 0.005], whereas resistance exercise has no effect. Subgroup analyses by type of cancer observed a moderate effect on decreasing depressive symptoms in patients with breast cancer [SMD = 0.51 (0.27-0.74); p < 0.0001]. CONCLUSIONS Exercise (specifically aerobic) should be considered by healthcare professionals as a strategy to treat/manage symptoms of anxiety and depression amongst adults with cancer and cancer-survivors.
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Affiliation(s)
- Vagner Deuel de O Tavares
- Laboratory of Hormone Measurement, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
- Graduate Program in Psychobiology, Center for Biosciences, Federal University of Rio Grande do Norte, Natal, Brazil
- Faculty of Nursing, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Colleen Cuthbert
- Faculty of Nursing, University of Calgary, Calgary, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Megan Teychenne
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Felipe B Schuch
- Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
- Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia, Chile
| | - Daniel Cabral
- Fralin Biomedical Research Institute, Virginia Tech Carilion, Roanoke, VA, USA
| | - Geovan Menezes de Sousa
- Laboratory of Hormone Measurement, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
- Graduate Program in Psychobiology, Center for Biosciences, Federal University of Rio Grande do Norte, Natal, Brazil
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Carla M Prado
- Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada
| | - Scott Patten
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia, Chile
| | - Nicole Leite Galvão-Coelho
- Laboratory of Hormone Measurement, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
- Graduate Program in Psychobiology, Center for Biosciences, Federal University of Rio Grande do Norte, Natal, Brazil
- NICM Health Research Institute, Western Sydney University, Westmead, Australia
| | - Mats Hallgren
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
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Atoui S, Bernard P, Carli F, Liberman AS. Association Between Physical Activity, Sedentary Behaviors, and Sleep-Related Outcomes Among Cancer Survivors: a Cross-Sectional Study. Int J Behav Med 2024; 31:741-752. [PMID: 37656309 DOI: 10.1007/s12529-023-10216-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Limited research has examined the association between moderate to vigorous physical activity (MVPA), sedentary behavior (SB), and sleep-related outcomes in cancer survivors. Therefore, this study aimed to examine these associations using a nationally representative sample of US adults. METHODS Data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. A total of 3229 adults with cancer histories were included. Physical activity was measured through accelerometry, and questions on daily activities, sedentary time, and sleep were collected during the household interview. Weighted multivariable analyses were conducted after accounting for the complex sampling design of the NHANES dataset. RESULTS After adjustments, physical activity and SB outcomes were associated with several self-reported sleep-related parameters. Increases in minutes of self-reported MVPA and SB were associated with a decreased likelihood of reporting ≥ 8 h of sleep (OR = 0.92, 95% CI = 0.86, 0.99 and OR = 0.88, 95% CI = 0.82, 0.95). Converse associations were found between device-measured MVPA and SB with the likelihood of reporting often/always feeling overly sleepy during the day (OR = 0.86, 95% CI = 0.75 and OR = 1.13, 95% CI = 1.05, respectively). However, an increased likelihood of waking up too early in the morning (OR = 1.22, 95% CI = 1.04) was observed with increases in minutes of device-measured MVPA. CONCLUSIONS A sensible strategy to decrease the frequency of sedentary breaks and increase minutes of physical activity throughout the day may reduce sleep complaints reported in cancer survivors.
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Affiliation(s)
- Sarah Atoui
- Division of Experimental Surgery, Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, Room L10.106, Montreal, QC, H3G 1A4, Canada
| | - Paquito Bernard
- Department of Physical Activity Sciences, Université du Québec à Montréal, 141, Avenue du Président Kennedy, Montreal, QC, H2X 1Y4, Canada
- Research Centre, University Institute of Mental Health in Montreal, Montreal, QC, Canada
| | - Francesco Carli
- Department of Anesthesia, McGill University Health Centre, 1650 Cedar Ave, Room E10.160, Montreal, QC, H3G 1A4, Canada
| | - A Sender Liberman
- Division of Experimental Surgery, Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, Room L10.106, Montreal, QC, H3G 1A4, Canada.
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Albers FEM, Lou MWC, Dashti SG, Swain CTV, Rinaldi S, Viallon V, Karahalios A, Brown KA, Gunter MJ, Milne RL, English DR, Lynch BM. Sex-steroid hormones and risk of postmenopausal estrogen receptor-positive breast cancer: a case-cohort analysis. Cancer Causes Control 2024; 35:921-933. [PMID: 38363402 PMCID: PMC11130059 DOI: 10.1007/s10552-024-01856-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024]
Abstract
PURPOSE Sex-steroid hormones are associated with postmenopausal breast cancer but potential confounding from other biological pathways is rarely considered. We estimated risk ratios for sex-steroid hormone biomarkers in relation to postmenopausal estrogen receptor (ER)-positive breast cancer, while accounting for biomarkers from insulin/insulin-like growth factor-signaling and inflammatory pathways. METHODS This analysis included 1208 women from a case-cohort study of postmenopausal breast cancer within the Melbourne Collaborative Cohort Study. Weighted Poisson regression with a robust variance estimator was used to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of postmenopausal ER-positive breast cancer, per doubling plasma concentration of progesterone, estrogens, androgens, and sex-hormone binding globulin (SHBG). Analyses included sociodemographic and lifestyle confounders, and other biomarkers identified as potential confounders. RESULTS Increased risks of postmenopausal ER-positive breast cancer were observed per doubling plasma concentration of progesterone (RR: 1.22, 95% CI 1.03 to 1.44), androstenedione (RR 1.20, 95% CI 0.99 to 1.45), dehydroepiandrosterone (RR: 1.15, 95% CI 1.00 to 1.34), total testosterone (RR: 1.11, 95% CI 0.96 to 1.29), free testosterone (RR: 1.12, 95% CI 0.98 to 1.28), estrone (RR 1.21, 95% CI 0.99 to 1.48), total estradiol (RR 1.19, 95% CI 1.02 to 1.39) and free estradiol (RR 1.22, 95% CI 1.05 to 1.41). A possible decreased risk was observed for SHBG (RR 0.83, 95% CI 0.66 to 1.05). CONCLUSION Progesterone, estrogens and androgens likely increase postmenopausal ER-positive breast cancer risk, whereas SHBG may decrease risk. These findings strengthen the causal evidence surrounding the sex-hormone-driven nature of postmenopausal breast cancer.
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Affiliation(s)
- Frances E M Albers
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Melbourne, VIC, 3002, Australia
| | - Makayla W C Lou
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Melbourne, VIC, 3002, Australia
| | - S Ghazaleh Dashti
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Australia
| | - Christopher T V Swain
- Cancer Epidemiology Division, Cancer Council Victoria, Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Melbourne, VIC, 3002, Australia
- Department of Physiotherapy, Melbourne School of Health Sciences, University of Melbourne, Melbourne, Australia
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Amalia Karahalios
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Kristy A Brown
- Department of Cell Biology and Physiology, University of Kansas Medical Center, Kansas City, USA
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Cancer Epidemiology and Prevention Research Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Melbourne, VIC, 3002, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Melbourne, VIC, 3002, Australia
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
- Cancer Epidemiology Division, Cancer Council Victoria, Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Melbourne, VIC, 3002, Australia.
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
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Wang Z, Albers FE, Wang SE, English DR, Lynch BM. Biased effects of pre-diagnostic physical activity on breast cancer survival: Systematic review and meta-analysis. Cancer Epidemiol 2024; 89:102544. [PMID: 38359727 DOI: 10.1016/j.canep.2024.102544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 02/01/2024] [Accepted: 02/05/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Pre-diagnostic physical activity is reported to improve survival for women with breast cancer. However, studies of pre-diagnostic exposures and cancer survival are susceptible to bias, made clear when applying a target trial framework. We investigated the impact of selection bias, immortal time bias, confounding and bias due to inappropriate adjustment for post-exposure variables in a systematic review and meta-analysis of pre-diagnostic physical activity and survival after breast cancer. METHODS Medline, Embase and Emcare were searched from inception to November 2021 for studies examining pre-diagnostic physical activity and overall or breast cancer-specific survival for women with breast cancer. Random-effects meta-analysis was used to estimate pooled hazard ratios (HRs) and 95% confidence intervals (CIs) comparing highest versus lowest pre-diagnostic physical activity. Subgroup meta-analyses were used to compare HRs of studies with and without different biases. ROBINS-E was used to assess risk of bias. RESULTS We included 22 studies. Women with highest versus lowest pre-diagnostic physical activity had higher overall and breast cancer-specific survival across most analyses. The overall risk of bias was high. We observed marked differences in estimated HRs between studies that did and did not adjust for post-exposure variables or have immortal time bias. All studies were at risk of selection bias due to participants becoming eligible for study when they have survived to post-exposure events (e.g., breast cancer diagnosis). Insufficient studies were available to investigate confounding. CONCLUSION Biases can substantially change effect estimates. Due to misalignment of treatment assignment (before diagnosis), eligibility (survival to post-exposure events) and start of follow-up, bias is difficult to avoid. It is difficult to lend a causal interpretation to effect estimates from studies of pre-diagnostic physical activity and survival after cancer. Biased effect estimates that are difficult to interpret may be less useful for clinical or public health policy applications.
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Affiliation(s)
- Ziyu Wang
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | - Frances Em Albers
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | - Sabrina E Wang
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
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Côté A, Miquelon P, Trudel-Fitzgerald C. Physical Activity, Sedentary Time, and Psychosocial Functioning among Adults with Cancer: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:225. [PMID: 38397714 PMCID: PMC10888167 DOI: 10.3390/ijerph21020225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/07/2024] [Accepted: 02/11/2024] [Indexed: 02/25/2024]
Abstract
The post-treatment period (after the completion of primary cancer treatment) is a phase during which adults with cancer are particularly vulnerable to the physical and psychological side effects of treatment. Adopting healthy lifestyle habits during this time is essential to mitigate these effects. This scoping review investigated the associations of physical activity (PA) and sedentary time (ST) with two post-treatment psychosocial indicators among adults with cancer: psychological functioning and quality of life (QoL). An exhaustive search was performed in January 2023 across five databases, namely APA PsycInfo, MedLine, SPORTDiscuss, SCOPUS, and CINAHL, adhering to PRISMA guidelines for scoping reviews. Twenty articles met the inclusion criteria; 16 used a cross-sectional design, while 4 used a longitudinal one. PA and ST were assessed mainly with accelerometers (n = 17), and psychosocial indicators with self-reported questionnaires (n = 20). Most studies linked higher PA levels to reduced anxiety (n = 3) and depression (n = 4) symptoms, and elevated ST to higher psychological symptoms (n = 3). Opposite associations were observed for QoL (n = 5). Altogether, PA appeared to be more strongly related to psychological functioning and QoL than ST. This scoping review highlights associations of PA and ST with psychological functioning and QoL among adults with cancer in the post-treatment period. However, future studies must prioritize longitudinal designs to establish directionality.
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Affiliation(s)
- Arianne Côté
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada; (P.M.); (C.T.-F.)
- Research Center of Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3V2, Canada
| | - Paule Miquelon
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada; (P.M.); (C.T.-F.)
| | - Claudia Trudel-Fitzgerald
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada; (P.M.); (C.T.-F.)
- Research Center of Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3V2, Canada
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Ahmedah HT, Basheer HA, Almazari I, Amawi KF. Introduction to Nutrition and Cancer. Cancer Treat Res 2024; 191:1-32. [PMID: 39133402 DOI: 10.1007/978-3-031-55622-7_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
By the beginning of the year 2021, the estimated number of new cancer cases worldwide was about 19.3 million and there were 10.0 million cancer-related deaths. Cancer is one of the deadliest diseases worldwide that can be attributed to genetic and environmental factors, including nutrition. The good nutrition concept focuses on the dietary requirements to sustain life. There is a substantial amount of evidence suggesting that a healthy diet can modulate cancer risk, particularly the risk of colorectal and breast cancers. Many studies have evaluated the correlation between our diet and the risk of cancer development, prevention, and treatment. The effect of diet on cancer development is likely to happen through intertwining mechanisms including inflammation and immune responses. For instance, a greater intake of red and processed meat along with low consumption of fruits and vegetables has been associated with increased levels of inflammatory biomarkers that are implicated in cancer development. On the other hand, the consumption of phytosterols, vitamins, and minerals, which exert antioxidant and anti-inflammatory roles have been linked to lower cancer risk, or even its occurrence prevention. In this book, we aim to summarize the current knowledge on the role of nutrition in cancer to provide the best scientific advice in this regard.
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Affiliation(s)
- Hanadi Talal Ahmedah
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Rabigh, 25732, Saudi Arabia.
| | | | - Inas Almazari
- Department of Clinical Pharmacy, Faculty of Pharmacy, Zarqa University, Zarqa, Jordan
| | - Kawther Faisal Amawi
- Department of Medical Laboratory Science, Faculty of Allied Medical Science, Zarqa University, PO Box 132222, Zarqa, 13132, Jordan
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7
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Albers FE, Lou MW, Dashti SG, Swain CT, Rinaldi S, Viallon V, Karahalios A, Brown KA, Gunter MJ, Milne RL, English DR, Lynch BM. Sex-steroid hormones and risk of postmenopausal estrogen receptor-positive breast cancer: a case-cohort analysis. RESEARCH SQUARE 2023:rs.3.rs-3406466. [PMID: 37886482 PMCID: PMC10602098 DOI: 10.21203/rs.3.rs-3406466/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Purpose Sex-steroid hormones are associated with postmenopausal breast cancer but potential confounding from other biological pathways is rarely considered. We estimated risk ratios for sex-steroid hormone biomarkers in relation to postmenopausal estrogen receptor (ER)-positive breast cancer, while accounting for biomarkers from insulin/insulin-like growth factor-signaling and inflammatory pathways. Methods This analysis included 1,208 women from a case-cohort study of postmenopausal breast cancer within the Melbourne Collaborative Cohort Study. Weighted Poisson regression with a robust variance estimator was used to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of postmenopausal ER-positive breast cancer, per doubling plasma concentration of progesterone, estrogens, androgens, and sex hormone binding globulin (SHBG). Analyses included sociodemographic and lifestyle confounders, and other biomarkers identified as potential confounders. Results Increased risks of postmenopausal ER-positive breast cancer were observed per doubling plasma concentration of progesterone (RR: 1.22, 95% CI: 1.03 to 1.44), androstenedione (RR: 1.20, 95% CI: 0.99 to 1.45), dehydroepiandrosterone (RR: 1.15, 95% CI: 1.00 to 1.34), total testosterone (RR: 1.11, 95% CI: 0.96 to 1.29), free testosterone (RR: 1.12, 95% CI: 0.98 to 1.28), estrone (RR: 1.21, 95% CI: 0.99 to 1.48), total estradiol (RR: 1.19, 95% CI: 1.02 to 1.39) and free estradiol (RR: 1.22, 95% CI: 1.05 to 1.41). A possible decreased risk was observed for SHBG (RR: 0.83, 95% CI: 0.66 to 1.05). Conclusion Progesterone, estrogens and androgens likely increase postmenopausal ER-positive breast cancer risk, whereas SHBG may decrease risk. These findings strengthen the causal evidence surrounding the sex hormone-driven nature of postmenopausal breast cancer.
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Barati Jozan MM, Ghorbani BD, Khalid MS, Lotfata A, Tabesh H. Impact assessment of e-trainings in occupational safety and health: a literature review. BMC Public Health 2023; 23:1187. [PMID: 37340453 DOI: 10.1186/s12889-023-16114-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/13/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Implementing workplace preventive interventions reduces occupational accidents and injuries, as well as the negative consequences of those accidents and injuries. Online occupational safety and health training is one of the most effective preventive interventions. This study aims to present current knowledge on e-training interventions, make recommendations on the flexibility, accessibility, and cost-effectiveness of online training, and identify research gaps and obstacles. METHOD All studies that addressed occupational safety and health e-training interventions designed to address worker injuries, accidents, and diseases were chosen from PubMed and Scopus until 2021. Two independent reviewers conducted the screening process for titles, abstracts, and full texts, and disagreements on the inclusion or exclusion of an article were resolved by consensus and, if necessary, by a third reviewer. The included articles were analyzed and synthesized using the constant comparative analysis method. RESULT The search identified 7,497 articles and 7,325 unique records. Following the title, abstract, and full-text screening, 25 studies met the review criteria. Of the 25 studies, 23 were conducted in developed and two in developing countries. The interventions were carried out on either the mobile platform, the website platform, or both. The study designs and the number of outcomes of the interventions varied significantly (multi-outcomes vs. single-outcome). Obesity, hypertension, neck/shoulder pain, office ergonomics issues, sedentary behaviors, heart disease, physical inactivity, dairy farm injuries, nutrition, respiratory problems, and diabetes were all addressed in the articles. CONCLUSION According to the findings of this literature study, e-trainings can significantly improve occupational safety and health. E-training is adaptable, affordable, and can increase workers' knowledge and abilities, resulting in fewer workplace injuries and accidents. Furthermore, e-training platforms can assist businesses in tracking employee development and ensuring that training needs are completed. Overall, this analysis reveals that e-training has enormous promise in the field of occupational safety and health for both businesses and employees.
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Affiliation(s)
- Mohammad Mahdi Barati Jozan
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Md Saifuddin Khalid
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Aynaz Lotfata
- School Of Veterinary Medicine, Department Of Veterinary Pathology, University of California, Davis, USA
| | - Hamed Tabesh
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Arigo D, Gray RC, Dallal DH, Villareale J, Zhu J. Selection of and Response to Physical Activity-Based Social Comparisons in a Digital Environment: Series of Daily Assessment Studies. JMIR Hum Factors 2023; 10:e41239. [PMID: 36848204 PMCID: PMC10012003 DOI: 10.2196/41239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/27/2022] [Accepted: 01/01/2023] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Innovative approaches are needed to understand barriers to and facilitators of physical activity among insufficiently active adults. Although social comparison processes (ie, self-evaluations relative to others) are often used to motivate physical activity in digital environments, user preferences and responses to comparison information are poorly understood. OBJECTIVE We used an iterative approach to better understand users' selection of comparison targets, how they interacted with their selected targets, and how they responded to these targets. METHODS Across 3 studies, different samples of insufficiently active college students used the Fitbit system (Fitbit LLC) to track their steps per day as well as a separate, adaptive web platform each day for 7 to 9 days (N=112). The adaptive platform was designed with different layouts for each study; each allowed participants to select their preferred comparison target from various sets of options, view the desired amount of information about their selected target, and rate their physical activity motivation before and after viewing information about their selected target. Targets were presented as achieving physical activity at various levels below and above their own, which were accessed via the Fitbit system each day. We examined the types of comparison target selections, time spent viewing and number of elements viewed for each type of target, and day-level associations between comparison selections and physical activity outcomes (motivation and behavior). RESULTS Study 1 (n=5) demonstrated that the new web platform could be used as intended and that participants' interactions with the platform (ie, the type of target selected, the time spent viewing the selected target's profile, and the number of profile elements viewed) varied across the days. Studies 2 (n=53) and 3 (n=54) replicated these findings; in both studies, age was positively associated with time spent viewing the selected target's profile and the number of profile elements viewed. Across all studies, upward targets (who had more steps per day than the participant) were selected more often than downward targets (who had fewer steps per day than the participant), although only a subset of either type of target selection was associated with benefits for physical activity motivation or behavior. CONCLUSIONS Capturing physical activity-based social comparison preferences is feasible in an adaptive digital environment, and day-to-day differences in preferences for social comparison targets are associated with day-to-day changes in physical activity motivation and behavior. Findings show that participants only sometimes focus on the comparison opportunities that support their physical activity motivation or behavior, which helps explain previous, equivocal findings regarding the benefits of physical activity-based comparisons. Additional investigation of day-level determinants of comparison selections and responses is needed to fully understand how best to harness comparison processes in digital tools to promote physical activity.
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Affiliation(s)
- Danielle Arigo
- Department of Psychology, Rowan University, Glassboro, NJ, United States
- Department of Family Medicine, Rowan-Virtua School of Osteopathic Medicine, Stratford, NJ, United States
| | - Robert C Gray
- Department of Digital Media, Drexel University, Philadelphia, PA, United States
| | - Diane H Dallal
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
- Weight, Eating, and Lifestyle Science Center, Drexel University, Philadelphia, PA, United States
| | - Jennifer Villareale
- Department of Digital Media, Drexel University, Philadelphia, PA, United States
| | - Jichen Zhu
- Department of Digital Design, IT University of Copenhagen, Copenhagen, Denmark
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Dixon-Suen SC, Lewis SJ, Martin RM, English DR, Boyle T, Giles GG, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Investigators A, Ahearn TU, Ambrosone CB, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Augustinsson A, Auvinen P, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Brenner H, Brüning T, Buys SS, Camp NJ, Campa D, Canzian F, Castelao JE, Cessna MH, Chang-Claude J, Chanock SJ, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Goldberg MS, Guénel P, Gündert M, Hahnen E, Haiman CA, Häberle L, Håkansson N, Hall P, Hamann U, Hart SN, Harvie M, Hillemanns P, Hollestelle A, Hooning MJ, Hoppe R, Hopper J, Howell A, Hunter DJ, Jakubowska A, Janni W, John EM, Jung A, Kaaks R, Keeman R, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Lacey JV, Lambrechts D, Le Marchand L, Lindblom A, Loibl S, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Menon U, Mulligan AM, Murphy RA, Collaborators N, Nevanlinna H, Nevelsteen I, Newman WG, Offit K, Olshan AF, Olsson H, Orr N, Patel A, Peto J, Plaseska-Karanfilska D, Presneau N, Rack B, Radice P, Rees-Punia E, Rennert G, Rennert HS, Romero A, Saloustros E, Sandler DP, Schmidt MK, Schmutzler RK, Schwentner L, Scott C, Shah M, Shu XO, Simard J, Southey MC, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Tollenaar RAEM, Troester MA, Truong T, Untch M, Vachon CM, Joseph V, Wappenschmidt B, Weinberg CR, Wolk A, Yannoukakos D, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Milne RL, Lynch BM. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study. Br J Sports Med 2022; 56:1157-1170. [PMID: 36328784 PMCID: PMC9876601 DOI: 10.1136/bjsports-2021-105132] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. METHODS We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity. RESULTS Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). CONCLUSION Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women.
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Affiliation(s)
- Suzanne C Dixon-Suen
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Sarah J Lewis
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Richard M Martin
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Terry Boyle
- Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Abctb Investigators
- Australian Breast Cancer Tissue Bank, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Hoda Anton-Culver
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, California, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Päivi Auvinen
- Department of Oncology, Cancer Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, FSBSI Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russian Federation
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, Örebro University Hospital, Örebro, Sweden
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, European Institute of Oncology IRCCS, Milan, Italy
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance (IPA), Institute of the Ruhr University Bochum, Bochum, Germany
| | - Saundra S Buys
- Department of Internal Medicine and Huntsman Cancer Institute, The University of Utah, Salt Lake City, Utah, USA
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, The University of Utah, Salt Lake City, Utah, USA
| | - Daniele Campa
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Melissa H Cessna
- Department of Pathology, Intermountain Medical Center, Intermountain Healthcare, Salt Lake City, Utah, USA
- Intermountain Biorepository, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Christine L Clarke
- Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, The University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Miriam Dwek
- School of Life Sciences, University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California Los Angeles, Los Angeles, California, USA
| | - Olivia Fletcher
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Lin Fritschi
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro de Investigación Biomédica en Red de Cáncer, Madrid, Spain
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, Québec, Canada
| | - Pascal Guénel
- Team 'Exposome and Heredity', Center for Research in Epidemiology and Population Health (CESP), Gustave Roussy, INSERM, University Paris-Saclay, Villejuif, France
| | - Melanie Gündert
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Lothar Häberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle Harvie
- Prevent Breast Cancer Research Unit, Manchester University Hospital Foundation NHS Trust, Manchester, UK
| | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | | | - Maartje J Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Reiner Hoppe
- Dr Margarete Fischer Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - John Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Anthony Howell
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Wolfgang Janni
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renske Keeman
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Vessela N Kristensen
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Katerina Kubelka-Sabit
- Department of Histopathology and Cytology, Clinical Hospital Acibadem Sistina, Skopje, Macedonia (the former Yugoslav Republic of)
| | - Allison W Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - James V Lacey
- Department of Computational and Quantitative Medicine, City of Hope, Duarte, California, USA
- City of Hope Comprehensive Cancer Center, City of Hope, Duarte, California, USA
| | - Diether Lambrechts
- VIB Center for Cancer Biology, VIB, Gent, Oost-Vlaanderen, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | | | - Jan Lubiński
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Maria Elena Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Rachel A Murphy
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Nbcs Collaborators
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Ines Nevelsteen
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - William G Newman
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
| | - Alpa Patel
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', MASA, Skopje, Macedonia (the former Yugoslav Republic of)
| | - Nadege Presneau
- School of Life Sciences, University of Westminster, London, UK
| | - Brigitte Rack
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Erika Rees-Punia
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Gad Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lukas Schwentner
- Department of Gynaecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, Québec, Canada
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Genetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Harald Surowy
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, USA
| | | | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Thérèse Truong
- Team 'Exposome and Heredity', Center for Research in Epidemiology and Population Health (CESP), Gustave Roussy, INSERM, University Paris-Saclay, Villejuif, France
| | - Michael Untch
- Department of Gynecology and Obstetrics, Helios Clinics Berlin-Buch, Berlin, Germany
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Vijai Joseph
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York City, New York, USA
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research-Demokritos, Athens, Greece
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Argyrios Ziogas
- Department of Medicine, Genetic Epidemiology Research Institute, University of California Irvine, Irvine, California, USA
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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11
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Sánchez-Alcaraz BJ, Courel-Ibáñez J. The Role of Padel in Improving Physical Fitness and Health Promotion: Progress, Limitations, and Future Perspectives—A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116582. [PMID: 35682167 PMCID: PMC9180804 DOI: 10.3390/ijerph19116582] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/01/2022] [Accepted: 05/24/2022] [Indexed: 11/16/2022]
Abstract
Benefits of regular exercise for health are beyond any doubt. However, adherence to regular physical activity is an ongoing challenge. Among the options for exercise engagement, racket sports, and particularly padel, stand as emerging practices for children and adults to have fun, improve physical fitness, and potentially develop motor and cognitive skills. In the last decade, the literature on padel is increasing exponentially. However, there is a need for further experimental research. To design safe and effective sport-base physical activity promotion interventions, it is essential to have a deep understanding of the physical requirements, technical complexity, injury risks, and strength and conditioning programs. To assist researchers to conduct effective padel-based interventions for health, this review summarizes the state-of-the-art evidence about padel, identifies key topics to be addressed in the future, and discusses the potential role of padel as a physical fitness and health promotion strategy. A narrative review is presented, summarizing the results of padel articles from three different databases: Web of Science, Scopus, and Google Scholar. Studies written in Spanish and English were the inclusion criteria. The studies had to be published from 2000 onwards and be original, as well as peer-reviewed.
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Affiliation(s)
- Bernardino J. Sánchez-Alcaraz
- Department of Physical Activity and Sport, Faculty of Sport Sciences, University of Murcia, San Javier, 30720 Murcia, Spain;
| | - Javier Courel-Ibáñez
- Department of Physical Education and Sport, Faculty of Education and Sport Sciences (Melilla Campus), University of Granada, 52005 Melilla, Spain
- Correspondence:
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12
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Basiri Z, Yang Y, Bruinsma FJ, Nowak AK, McDonald KL, Drummond KJ, Rosenthal MA, Koh ES, Harrup R, Hovey E, Joseph D, Benke G, Leonard R, MacInnis RJ, Milne RL, Giles GG, Vajdic CM, Lynch BM. Physical activity and glioma: a case-control study with follow-up for survival. Cancer Causes Control 2022; 33:749-757. [PMID: 35184245 PMCID: PMC9010385 DOI: 10.1007/s10552-022-01559-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 02/01/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE High-grade disease accounts for ~ 70% of all glioma, and has a high mortality rate. Few modifiable exposures are known to be related to glioma risk or mortality. METHODS We examined associations between lifetime physical activity and physical activity at different ages (15-18 years, 19-29 years, 30-39 years, last 10 years) with the risk of glioma diagnosis, using data from a hospital-based family case-control study (495 cases; 371 controls). We followed up cases over a median of 25 months to examine whether physical activity was associated with all-cause mortality. Physical activity and potential confounders were assessed by self-administered questionnaire. We examined associations between physical activity (metabolic equivalent [MET]-h/wk) and glioma risk using unconditional logistic regression and with all-cause mortality in cases using Cox regression. RESULTS We noted a reduced risk of glioma for the highest (≥ 47 MET-h/wk) versus lowest (< 24 METh/wk) category of physical activity for lifetime activity (OR = 0.58, 95% CI: 0.38-0.89) and at 15-18 years (OR = 0.57, 95% CI: 0.39-0.83). We did not observe any association between physical activity and all-cause mortality (HR for lifetime physical activity = 0.91, 95% CI: 0.64-1.29). CONCLUSION Our findings are consistent with previous research that suggested physical activity during adolescence might be protective against glioma. Engaging in physical activity during adolescence has many health benefits; this health behavior may also offer protection against glioma.
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Affiliation(s)
- Zohreh Basiri
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia
| | - Yi Yang
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Fiona J Bruinsma
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Anna K Nowak
- Medical School, QEII Medical Centre Unit, University of Western Australia, Nedlands, WA, Australia.,Department of Medical Oncology, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Kerrie L McDonald
- Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia
| | | | | | - Eng-Siew Koh
- South Western Sydney Clinical School, University of New South Wales, Liverpool, NSW, Australia.,Ingham Institute for Applied Medical Research, Sydney, NSW, Australia
| | - Rosemary Harrup
- Royal Hobart Hospital, University of Tasmania, Hobart, TAS, Australia
| | - Elizabeth Hovey
- Department Medical Oncology Nelune Comprehensive Cancer Centre, Prince of Wales Hospital, University of New South Wales, Sydney, NSW, Australia.,Department Medicine, University of New South Wales, Sydney, NSW, Australia
| | - David Joseph
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Geza Benke
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Robyn Leonard
- Brain Cancer Biobanking Australia, University of Sydney, Sydney, NSW, Australia
| | - Robert J MacInnis
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Roger L Milne
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Graham G Giles
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of NSW, Sydney, NSW, Australia
| | - Brigid M Lynch
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia. .,Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia. .,Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
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13
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Lynch BM, Milne RL, English DR, Brown KA, Drummond AE, Swain CTV, van Roekel EH, Moore MM, Gaunt TR, Martin RM, Lewis SJ. Linking Physical Activity to Breast Cancer: Text Mining Results and a Protocol for Systematically Reviewing Three Potential Mechanistic Pathways. Cancer Epidemiol Biomarkers Prev 2022; 31:11-15. [PMID: 34670802 PMCID: PMC8755571 DOI: 10.1158/1055-9965.epi-21-0435] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/04/2021] [Accepted: 10/05/2021] [Indexed: 12/24/2022] Open
Abstract
Epidemiologic research suggests that physical activity is associated with a reduced risk of breast cancer, but the causal nature of this link is not clear. Investigating mechanistic pathways can provide evidence of biological plausibility and improve causal inference. This project will examine three putative pathways (sex steroid hormones, insulin signaling, and inflammation) in a series of two-stage systematic reviews. Stage 1 used Text Mining for Mechanism Prioritisation (TeMMPo) to identify and prioritize relevant biological intermediates. Stage 2 will systematically review the findings from studies of (i) physical activity and intermediates and (ii) intermediates and breast cancer. Ovid MEDLINE, EMBASE, and SPORTDiscus will be searched using a combination of subject headings and free-text terms. Human intervention and prospective, observational studies will be eligible for inclusion. Meta-analysis will be performed where possible. Risk of bias will be assessed using the Cochrane Collaboration tool, or the ROBINS-I or ROBINS-E tool, depending on study type. Strength of evidence will be assessed using the GRADE system. In addition to synthesizing the mechanistic evidence that links physical activity with breast cancer risk, this project may also identify priority areas for future research and help inform the design and implementation of physical activity interventions.See related reviews by Swain et al., p. 16 and Drummond et al., p. 28.
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Affiliation(s)
- Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kristy A Brown
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - Ann E Drummond
- Cancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia
| | | | - Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Melissa M Moore
- Medical Oncology, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Tom R Gaunt
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Richard M Martin
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Sarah J Lewis
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
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14
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Yaribeygi H, Maleki M, Sathyapalan T, Jamialahmadi T, Sahebkar A. Pathophysiology of Physical Inactivity-Dependent Insulin Resistance: A Theoretical Mechanistic Review Emphasizing Clinical Evidence. J Diabetes Res 2021; 2021:7796727. [PMID: 34660812 PMCID: PMC8516544 DOI: 10.1155/2021/7796727] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 12/17/2022] Open
Abstract
The modern lifestyle has a negative impact on health. It is usually accompanied by increased stress levels and lower physical activity, which interferes with body homeostasis. Diabetes mellitus is a relatively common metabolic disorder with increasing prevalence globally, associated with various risk factors, including lower physical activity and a sedentary lifestyle. It has been shown that sedentary behavior increases the risk of insulin resistance, but the intermediate molecular mechanisms are not fully understood. In this mechanistic review, we explore the possible interactions between physical inactivity and insulin resistance to help better understand the pathophysiology of physical inactivity-dependent insulin resistance and finding novel interventions against these deleterious pathways.
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Affiliation(s)
- Habib Yaribeygi
- Research Center of Physiology, Semnan University of Medical Sciences, Semnan, Iran
| | - Mina Maleki
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Thozhukat Sathyapalan
- Academic Diabetes, Endocrinology and Metabolism, Hull York Medical School, University of Hull, UK
| | - Tannaz Jamialahmadi
- Department of Food Science and Technology, Quchan Branch, Islamic Azad University, Quchan, Iran
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
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15
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Yang Y, Dixon-Suen SC, Dugué PA, Hodge AM, Lynch BM, English DR. Physical activity and sedentary behaviour over adulthood in relation to all-cause and cause-specific mortality: a systematic review of analytic strategies and study findings. Int J Epidemiol 2021; 51:641-667. [PMID: 34480556 DOI: 10.1093/ije/dyab181] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Questions remain about the effect on mortality of physical activity and sedentary behaviour over time. We summarized the evidence from studies that assessed exposure from multiple time points and critiqued the analytic approaches used. METHODS A search was performed on MEDLINE, Embase, Emcare, Scopus and Web of Science up to January 2021 for studies of repeatedly assessed physical activity or sedentary behaviour in relation to all-cause or cause-specific mortality. Relative risks from individual studies were extracted. Each study was assessed for risk of bias from multiple domains. RESULTS We identified 64 eligible studies (57 on physical activity, 6 on sedentary behaviour, 1 on both). Cox regression with a time-fixed exposure history (n = 45) or time-varying covariates (n = 13) were the most frequently used methods. Only four studies used g-methods, which are designed to adjust for time-varying confounding. Risk of bias arose primarily from inadequate adjustment for time-varying confounders, participant selection, exposure classification and changes from measured exposure. Despite heterogeneity in methods, most studies found that being consistently or increasingly active over adulthood was associated with lower all-cause and cardiovascular-disease mortality compared with being always inactive. Few studies examined physical-activity changes and cancer mortality or effects of sedentary-behaviour changes on mortality outcomes. CONCLUSIONS Accumulating more evidence using longitudinal data while addressing the methodological challenges would provide greater insight into the health effects of initiating or maintaining a more active and less sedentary lifestyle.
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Affiliation(s)
- Yi Yang
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
| | - Suzanne C Dixon-Suen
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
| | - Pierre-Antoine Dugué
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia.,Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
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16
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Yang YI, Hodge AM, Dugué PA, Williamson EJ, Gardiner PA, Barr ELM, Owen N, Dunstan DW, Lynch BM, English DR. Mortality Effects of Hypothetical Interventions on Physical Activity and TV Viewing. Med Sci Sports Exerc 2021; 53:316-323. [PMID: 32870614 DOI: 10.1249/mss.0000000000002479] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Long-term effects of physical activity and television (TV) viewing on mortality have been inferred from observational studies. The associations observed do not allow for inferences about the effects of population interventions and could be subject to bias due to time-varying confounding. METHODS Using data from the Australian Diabetes, Obesity and Lifestyle Study, collected in 1999-2000 (T0), 2004-2005 (T1), and 2011-2012 (T2), we applied the parametric g-formula to estimate cumulative risks of death under hypothetical interventions on physical activity and/or TV viewing determined from self-report while adjusting for time-varying confounding. RESULTS In the 6377 participants followed up for 13 yr from 2004 to 2005 to death or censoring in 2017, 781 participants died. The observed cumulative risk of death was 12.2%. The most effective hypothetical intervention was to increase weekly physical activity to >300 min (risk ratio (RR), 0.66 (0.46-0.86) compared with a "worst-case" scenario; RR, 0.83 (0.73-0.94) compared with no intervention). Reducing daily TV viewing to <2 h in addition to physical activity interventions did not show added survival benefits. Reducing TV viewing alone was least effective in reducing mortality (RR, 0.85 (0.60-1.10) compared with the worst-case scenario; RR, 1.06 (0.93-1.20) compared with no intervention). CONCLUSIONS Our findings suggested that sustained interventions to increase physical activity could lower all-cause mortality over a 13-yr period, and there might be limited gain from intervening to reduce TV viewing time in a relatively healthy population.
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Affiliation(s)
| | | | | | | | | | | | - Neville Owen
- Behavioral Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, AUSTRALIA
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17
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Tabaczynski A, Whitehorn A, McAuley E, Trinh L. A comparison of total and domain-specific sedentary time in breast cancer survivors and age-matched healthy controls. J Behav Med 2020; 44:277-283. [PMID: 33185782 DOI: 10.1007/s10865-020-00195-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 11/03/2020] [Indexed: 12/30/2022]
Abstract
Breast cancer survivors (BCS) engage in more sedentary behavior (SED) than those without cancer. However, the context in which SED is accrued is unknown. The purpose of this study is to examine differences in total and domain-specific SED of BCS and healthy controls. 20 BCS and 20 age-matched, healthy controls wore ActiGraph GT3X + accelerometers to measure SED and activity. Participants self-reported SED for transportation, occupational, screen time and leisure purposes. Multiple linear regressions were used to estimate differences in SED between BCS and controls. BCS spent significantly more time watching TV (152.4 vs. 60.3; p < 0.01) and less time in total SED (490.8 vs. 587.4; p = 0.046) and other leisure activities (57.6 vs. 106.9; p < 0.01) than healthy controls. BCS engage in more TV watching and less time in other leisure activities than controls, thus interventions should focus on reducing TV time. Understanding facilitators of TV viewing is needed to determine specific intervention targets.
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Affiliation(s)
- Allyson Tabaczynski
- Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Toronto, ON, M5S 2W6, Canada
| | - Alexis Whitehorn
- Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Toronto, ON, M5S 2W6, Canada
| | - Edward McAuley
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Linda Trinh
- Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Toronto, ON, M5S 2W6, Canada.
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18
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Mahmood S, MacInnis RJ, Karahalios A, English DR, Lynch BM. Leisure-Time Physical Activity Versus Sedentary Behaviour in Relation to Colorectal Adenoma and Cancer: Are these Two Distinct Risk Factors? CURRENT COLORECTAL CANCER REPORTS 2020. [DOI: 10.1007/s11888-020-00454-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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19
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Tabaczynski A, Courneya KS, Trinh L. Replacing sedentary time with physical activity and sleep: associations with quality of life in kidney cancer survivors. Cancer Causes Control 2020; 31:669-681. [DOI: 10.1007/s10552-020-01308-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 04/29/2020] [Indexed: 01/08/2023]
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20
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Fahey PP, Page A, Stone G, Astell-Burt T. Using estimated probability of pre-diagnosis behavior as a predictor of cancer survival time: an example in esophageal cancer. BMC Med Res Methodol 2020; 20:74. [PMID: 32245417 PMCID: PMC7118984 DOI: 10.1186/s12874-020-00957-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 03/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background Information on the associations between pre-diagnosis health behavior and post-diagnosis survival time in esophageal cancer could assist in planning health services but can be difficult to obtain using established study designs. We postulated that, with a large data set, using estimated probability for a behavior as a predictor of survival times could provide useful insight as to the impact of actual behavior. Methods Data from a national health survey and logistic regression were used to calculate the probability of selected health behaviors from participant’s demographic characteristics for each esophageal cancer case within a large cancer registry data base. The associations between survival time and the probability of the health behaviors were investigated using Cox regression. Results Observed associations include: a 0.1 increase in the probability of smoking 1 year prior to diagnosis was detrimental to survival (Hazard Ratio (HR) 1.21, 95% CI 1.19,1.23); a 0.1 increase in the probability of hazardous alcohol consumption 10 years prior to diagnosis was associated with decreased survival in squamous cell cancer (HR 1.29, 95% CI 1.07, 1.56) but not adenocarcinoma (HR 1.08, 95% CI 0.94,1.25); a 0.1 increase in the probability of physical activity outside the workplace is protective (HR 0.83, 95% CI 0.81,0.84). Conclusions We conclude that probability for health behavior estimated from demographic characteristics can provide an initial assessment of the association between pre-diagnosis health behavior and post-diagnosis health outcomes, allowing some sharing of information across otherwise unrelated data collections.
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Affiliation(s)
- Paul P Fahey
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia. .,Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Andrew Page
- Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Glenn Stone
- School of Computer, Data and Mathematical Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
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21
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Guo W, Fensom GK, Reeves GK, Key TJ. Physical activity and breast cancer risk: results from the UK Biobank prospective cohort. Br J Cancer 2020; 122:726-732. [PMID: 31919405 PMCID: PMC7054300 DOI: 10.1038/s41416-019-0700-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 11/21/2019] [Accepted: 12/11/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Previous studies suggest a protective role of physical activity in breast cancer risk, largely based on self-reported activity. We aimed to clarify this association by examining breast cancer risk in relation to self-reported physical activity, informed by accelerometer-based measures in a large subset of participants. METHODS We analysed data from 47,456 premenopausal and 126,704 postmenopausal women in UK Biobank followed from 2006 to 2014. Physical activity was self-reported at baseline, and at resurvey in a subsample of 6443 participants. Accelerometer data, measured from 2013 to 2015, were available in 20,785 women. Relative risks (RRs) and 95% confidence intervals (CIs) were calculated by using multivariable-adjusted Cox regression. RESULTS A total of 3189 cases were diagnosed during follow-up (mean = 5.7 years). Women in the top compared with the bottom quartile of self-reported physical activity had a reduced risk of both premenopausal (RR 0.75; 95% CI 0.60-0.93) and postmenopausal breast cancer (RR 0.87; 95% CI 0.78-0.98), after adjusting for adiposity. In analyses utilising physical activity values assigned from accelerometer measurements, an increase of 5 milli-gravity was associated with a 21% (RR 0.79; 95% CI 0.66-0.95) reduction in premenopausal and a 16% (RR 0.84; 95% CI 0.73-0.96) reduction in postmenopausal breast cancer risk. CONCLUSIONS Greater physical activity is associated with a reduction in breast cancer risk, which appears to be independent of any association it may have on risk through its effects on adiposity.
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Affiliation(s)
- Wenji Guo
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Georgina K Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gillian K Reeves
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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22
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Vallance JK, Nguyen NH, Moore MM, Reeves MM, Rosenberg DE, Boyle T, Milton S, Friedenreich CM, English DR, Lynch BM. Effects of the ACTIVity And TEchnology (ACTIVATE) intervention on health-related quality of life and fatigue outcomes in breast cancer survivors. Psychooncology 2019; 29:204-211. [PMID: 31763746 DOI: 10.1002/pon.5298] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND The ACTIVATE Trial examined the efficacy of a wearable-based intervention to increase physical activity and reduce sedentary behavior in breast cancer survivors. This paper examines the effects of the intervention on health-related quality of life (HRQoL) and fatigue at 12 weeks (T2; end of intervention) and 24 weeks (T3; follow-up). METHODS Inactive and postmenopausal women who had completed primary treatment for stage I-III breast cancer were randomized to intervention or waitlist control. Physical activity and sedentary behavior were measured by Actigraph and activPAL accelerometers at baseline (T1), end of the intervention (T2), and 12 weeks follow-up (T3). HRQoL and fatigue were measured using the Functional Assessment of Cancer Therapy-Breast (FACT-B) and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue). Primary intervention effects were evaluated comparing intervention and waitlist group at T2 using repeated measures mixed effects models. RESULTS Overall, 83 women were randomized and trial retention was high (94%). A 4.6-point difference in fatigue score was observed between groups at T2 (95% CI: 1.3, 7.8) indicating improvement in fatigue profiles in the intervention group. In within groups analyses, the intervention group reported a 5.1-point increase in fatigue from baseline to T2 (95% CI: 2.0, 8.2) and a 3.3-point increase from baseline to T3 (95% CI: 0.1, 6.41). CONCLUSIONS Despite small improvements in fatigue profiles, no effects on HRQoL were observed. While the ACTIVATE Trial was associated with improvements in physical activity and sedentary behavior, more intensive or longer duration interventions may be needed to facilitate changes in HRQoL.
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Affiliation(s)
- Jeff K Vallance
- Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada
| | - Nga H Nguyen
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Melissa M Moore
- Medical Oncology, St Vincent's Hospital, Melbourne, Victoria, Australia.,Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Marina M Reeves
- School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Dori E Rosenberg
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Terry Boyle
- Australian Centre for Precision Health, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Shakira Milton
- Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
| | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada.,Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Brigid M Lynch
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.,Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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23
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Ekblom-Bak E, Ekblom B, Söderling J, Börjesson M, Blom V, Kallings LV, Hemmingsson E, Andersson G, Wallin P, Ekblom Ö. Sex- and age-specific associations between cardiorespiratory fitness, CVD morbidity and all-cause mortality in 266.109 adults. Prev Med 2019; 127:105799. [PMID: 31454664 DOI: 10.1016/j.ypmed.2019.105799] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 08/08/2019] [Accepted: 08/11/2019] [Indexed: 12/15/2022]
Abstract
The aim was to investigate sex- and age-specific associations between cardiorespiratory fitness, all-cause and cause-specific mortality, and cardiovascular disease (CVD) morbidity. 266.109 participants (47% women, 18-74 years) free from CVD, participating in occupational health service screenings in 1995-2015 were included. CRF was assessed as estimated maximal oxygen consumption (estVO2max) using a submaximal cycle test. Incident cases of first-time CVD event and death from any cause were ascertained through national registers. There were 4244 CVD events and 2750 cases of all-cause mortality during mean 7.6 years follow-up. Male gender, higher age and lower estVO2max were associated with higher all-cause mortality and CVD morbidity incidence rates. Risk reductions with increasing estVO2max were present in all age-groups of men and women. No obvious levelling off in risk was identified in the total cohort. However, women and older age-groups showed no further reduction in higher aggregated estVO2max levels. CVD specific mortality was more associated with estVO2max compared to tumor specific mortality. The risk for all-cause mortality and CVD morbidity decreased by 2.3% and 2.6% per increase in 1 ml·min-1·kg-1 with no significant sex-differences but more pronounced in the three lower estVO2max categories for all-cause mortality (9.1%, 3.8% and 3.3%, respectively). High compared to lower levels of estVO2max was not related to a significantly elevated mortality or morbidity. In this large cohort study, CVD morbidity and all-cause mortality were inversely related to estVO2max in both men and women of all age-groups. Increasing cardiorespiratory fitness is a clear public health priority.
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Affiliation(s)
- Elin Ekblom-Bak
- The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Box 5626, SE-114 86 Stockholm, Sweden.
| | - Björn Ekblom
- The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Box 5626, SE-114 86 Stockholm, Sweden
| | - Jonas Söderling
- Department of Medicine, Karolinska Institutet, Karolinska University Hospital Solna, SE-171 76 Stockholm, Sweden
| | - Mats Börjesson
- Institute of Neuroscience and Physiology, Department of Food and Nutrition, and Sport Science, University of Gothenburg, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden
| | - Victoria Blom
- The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Box 5626, SE-114 86 Stockholm, Sweden
| | - Lena V Kallings
- The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Box 5626, SE-114 86 Stockholm, Sweden
| | - Erik Hemmingsson
- The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Box 5626, SE-114 86 Stockholm, Sweden
| | - Gunnar Andersson
- HPI Health Profile Institute, Research Department, Box 35, SE-182 11 Danderyd, Sweden
| | - Peter Wallin
- HPI Health Profile Institute, Research Department, Box 35, SE-182 11 Danderyd, Sweden
| | - Örjan Ekblom
- The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Box 5626, SE-114 86 Stockholm, Sweden
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24
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Peddle-McIntyre CJ, Cavalheri V, Boyle T, McVeigh JA, Jeffery E, Lynch BM, Vallance JK. A Review of Accelerometer-based Activity Monitoring in Cancer Survivorship Research. Med Sci Sports Exerc 2019; 50:1790-1801. [PMID: 29683922 DOI: 10.1249/mss.0000000000001644] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
BACKGROUND In the cancer survivorship context, physical activity and sedentary behavior have been measured using different methods. PURPOSE To conduct a narrative review of published research in cancer survivor populations to summarize the quality and identify gaps in reporting on accelerometer data collection, data processing, and outcome measures in cancer survivors. METHODS An initial PubMed® search of articles published in English was conducted in January 2017, and a final search was conducted in May 2017. Variables extracted included study characteristics, methods for accelerometry data collection (e.g., device used), data processing (e.g., cut points used), and data reporting (e.g., time spent in different activity intensities). RESULTS A total of 46 articles were eligible for inclusion in the review. The majority of studies (34 of 46) targeted a single cancer group and 18 of these 34 studies were in survivors of breast cancer. Half (54%) of the studies used an ActiGraph® accelerometer. Methods of accelerometer data processing varied across studies. Definitions of non-wear time, vectors used during processing, and filters applied during processing were reported by 51%, 60%, and 8% of studies, respectively. Most studies reported moderate and vigorous physical activity (78%), 50% reported sedentary time, and 43% reported light-intensity activity. Cut points to categorize these activities varied between studies. CONCLUSIONS This narrative review highlights inconsistency in the methods used to collect, process, and report accelerometry data across cancer survivor studies. Accelerometry has potential to add detailed knowledge of the levels and patterns of physical activities and sedentary behaviors across the cancer spectrum. Recommendations are made to improve data processing and reporting methods to maximize the scientific validity of future accelerometer research in this field.
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Affiliation(s)
- Carolyn J Peddle-McIntyre
- Exercise Medicine Research Institute, Edith Cowan University, Perth, AUSTRALIA.,School of Medical and Health Sciences, Edith Cowan University, Perth, AUSTRALIA
| | - Vinicius Cavalheri
- School of Physiotherapy and Exercise Science, Curtin University, Perth, AUSTRALIA.,Institute for Respiratory Health, Sir Charles Gairdner Hospital, Perth, AUSTRALIA
| | - Terry Boyle
- School of Public Health, Curtin University, Perth, AUSTRALIA.,Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, AUSTRALIA
| | - Joanne A McVeigh
- School of Occupational Therapy, Social Work & Speech Pathology, Curtin University, Perth, AUSTRALIA.,Exercise Laboratory, School of Physiology, University of Witwatersrand, SOUTH AFRICA
| | - Emily Jeffery
- Exercise Medicine Research Institute, Edith Cowan University, Perth, AUSTRALIA.,School of Medical and Health Sciences, Edith Cowan University, Perth, AUSTRALIA
| | - Brigid M Lynch
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, AUSTRALIA.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, AUSTRALIA.,Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, AUSTRALIA
| | - Jeff K Vallance
- Faculty of Health Disciplines, Athabasca University, Athabasca, CANADA
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25
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Mahmood S, English DR, MacInnis RJ, Karahalios A, Owen N, Milne RL, Giles GG, Lynch BM. Domain-specific physical activity and the risk of colorectal cancer: results from the Melbourne Collaborative Cohort Study. BMC Cancer 2018; 18:1063. [PMID: 30390649 PMCID: PMC6215664 DOI: 10.1186/s12885-018-4961-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 10/16/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Physical activity reduces the risk of colorectal cancer (CRC), but the relevant evidence derives primarily from self-reported recreational and occupational activity. Less is known about the contribution of other domains of physical activity, such as transport and household. We examined associations between domain-specific physical activities and CRC risk within the Melbourne Collaborative Cohort Study. METHODS Analyses included 23,586 participants who were free from invasive colorectal cancer and had completed the International Physical Activity Questionnaire-Long Form at follow-up 2 (2003-2007). Cox regression, with age as the time metric, was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for ordinal categories of each physical activity domain. RESULTS Adjusted HRs for the highest versus the lowest categories of physical activity were 0.71 (95% CI: 0.51-0.98; ptrend = 0.03) for recreational activity; 0.80 (95% CI: 0.49-1.28; ptrend = 0.38) for occupational activity; 0.90 (95% CI: 0.68-1.19; ptrend = 0.20) for transport activity; and 1.07 (95% CI: 0.82-1.40; ptrend = 0.46) for household activity. CONCLUSIONS Recreational activity was associated with reduced CRC risk. A non-significant, inverse association was observed for occupational activity, whereas no association was found for transport or household domains.
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Affiliation(s)
- Shahid Mahmood
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Dallas R. English
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Robert J. MacInnis
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Amalia Karahalios
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
| | - Neville Owen
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Behavioural Epidemiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
- School of Public Health, The University of Queensland, Brisbane, Australia
- Department of Medicine, Monash University, Melbourne, Australia
- Swinburne University of Technology, Melbourne, Australia
| | - Roger L. Milne
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Graham G. Giles
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
| | - Brigid M. Lynch
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, VIC 3010 Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia
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26
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Saunders S, Brunet J. A qualitative study exploring what it takes to be physically active with a stoma after surgery for rectal cancer. Support Care Cancer 2018; 27:1481-1489. [PMID: 30368673 DOI: 10.1007/s00520-018-4516-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 10/16/2018] [Indexed: 11/28/2022]
Abstract
PURPOSE Many adults must cope with the adverse effects of cancer and adjuvant therapies, which may limit their engagement in health-enhancing behaviors such as physical activity (PA). Furthermore, the placement of a stoma during surgery for rectal cancer may cause additional challenges to being physically active. The aim of this study was to explore the experiences of rectal cancer survivors who were living with a stoma and the impact on their engagement in PA. METHODS Interpretive phenomenological analysis was used as the approach for this qualitative study. Fifteen rectal cancer survivors took part in a semi-structured interview post-chemotherapy, and thematic analysis was used to identify themes within their accounts. RESULTS Three themes captured participants' personal lived experience: (1) reasons for engaging in PA, (2) deterrents to engaging in PA, and (3) practical implications. CONCLUSIONS Participants' accounts offered insight into both their cancer and stoma-related experiences, highlighting both reasons for and deterrents to engaging in PA. Further, findings helped to identify tangible strategies that those learning to be physically active with a stoma may find useful.
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Affiliation(s)
- Stephanie Saunders
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, 125 University Private, MNT 339, Ottawa, ON, K1N 6N5, Canada
| | - Jennifer Brunet
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, 125 University Private, MNT 339, Ottawa, ON, K1N 6N5, Canada. .,Institut du savoir Montfort, Hôpital Montfort, Ottawa, Canada. .,Cancer Therapeutic Program, Ottawa Hospital Research Institute, Ottawa, Canada.
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27
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Ablah E, Grilliot E, Okut H, Mailey EL, Rosenkranz SK, Rosenkranz RR. Many Kansas Worksites Offer Few Interventions to Reduce Occupational Sedentary Behavior. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081745. [PMID: 30110954 PMCID: PMC6121883 DOI: 10.3390/ijerph15081745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 08/03/2018] [Accepted: 08/09/2018] [Indexed: 11/16/2022]
Abstract
The purpose of this study was to identify the extent to which sedentary behavior interventions are being implemented in Kansas worksites. The WorkWell KS Physical Activity Assessment was administered online to 111 worksites across Kansas from October 2016 through April 2018. Each worksite identified a point of contact to complete the worksite-level assessment. Four of the WorkWell KS Physical Activity Assessment's items assessed interventions that may reduce employees' sedentary behavior: offering point-of-decision prompts to reduce employees' sedentary behavior, offering a program for employees to reduce their sedentary time at work, having an organizational norm that allows employees to stand, stretch, and/or move during meetings at least every 30 minutes, and offering standing desks. All 111 worksites that participated in the WorkWell KS Physical Activity Workshop completed the WorkWell KS Physical Activity Assessment, resulting in a 100% response rate. Most worksites (59%, n = 65) reported offering no information, program, policy, or environmental change interventions aimed to reduce sedentary behavior. The most commonly reported intervention offered by worksites to reduce employees' sedentary behavior was standing desks (32%, n = 35). Overall, participating worksites reported implementing a few interventions that are designed to reduce sedentary behavior.
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Affiliation(s)
- Elizabeth Ablah
- Department of Preventive Medicine and Public Health, University of Kansas School of Medicine-Wichita; 1010 North Kansas, Wichita, KS 67214, USA.
| | - Elizabeth Grilliot
- Department of Preventive Medicine and Public Health, University of Kansas School of Medicine-Wichita; 1010 North Kansas, Wichita, KS 67214, USA.
| | - Hayrettin Okut
- Office of Research, University of Kansas School of Medicine-Wichita; 1010 North Kansas, Wichita, KS 67214, USA.
| | - Emily L Mailey
- Department of Kinesiology, Kansas State University; Natatorium 8920 Denison Avenue, Manhattan, KS 66506, USA.
| | - Sara K Rosenkranz
- Department of Food, Nutrition, Dietetics and Health, Kansas State University; 212 Justin Hall, 1324 Lovers Lane, Manhattan, KS 66506, USA.
| | - Richard R Rosenkranz
- Department of Food, Nutrition, Dietetics and Health, Kansas State University; 212 Justin Hall, 1324 Lovers Lane, Manhattan, KS 66506, USA.
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28
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Sanders AB, Conroy DE, Schmitz KH, Gusani N. Physical Activity and Sedentary Behavior in Older Gastrointestinal Cancer Survivors: Need and Acceptability of Digital Health Interventions. J Gastrointest Cancer 2018; 50:10.1007/s12029-018-0128-x. [PMID: 29911290 PMCID: PMC6309674 DOI: 10.1007/s12029-018-0128-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
PURPOSE This study aimed to characterize physical activity (PA) and sedentary behavior (SB) profiles in older gastrointestinal (GI) cancer survivors, assess their interest in interventions to modify these behaviors, and evaluate the acceptability of digital tools for delivering interventions to modify these behaviors. METHODS Survivors (M = 65 years) from an outpatient survivorship clinic at the Penn State Cancer Institute completed a questionnaire during a clinic appointment. RESULTS Most survivors failed to attain the recommended level of PA (79%) or exceeded an average of 8 h of daily SB (42%). Access to internet and text messaging capabilities were high (70%), yet few survivors had access to smartphones or tablets (< 40%) or reported interest in using digital tools to improve PA or reduce SB (< 30%). Digital PA and SB interventions were more acceptable to younger survivors, survivors reporting more SB, and survivors engaging in more PA. The monetary value ascribed to digital health interventions did not differ as a function of mode of delivery (i.e., text messages, web, e-mail, tablet computer apps, or smartphone apps). CONCLUSIONS Older GI cancer survivors can benefit from interventions to increase PA and decrease SB. Interest in such interventions was moderate and the acceptability of digital health tools for these interventions was limited. At the present time, behavioral interventions for older GI cancer survivors should not be delivered exclusively through digital tools and strategies to improve adoption of various technologies should be implemented when using these tools to modify PA and SB.
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Affiliation(s)
- Ashley B Sanders
- Department of Kinesiology, The Pennsylvania State University, 266 Recreation Building, University Park, PA, 16802, USA
| | - David E Conroy
- Department of Kinesiology, The Pennsylvania State University, 266 Recreation Building, University Park, PA, 16802, USA.
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
| | - Kathryn H Schmitz
- Department of Public Health Sciences, The Pennsylvania State University, College of Medicine, Hershey, PA, USA
| | - Niraj Gusani
- Department of Public Health Sciences, The Pennsylvania State University, College of Medicine, Hershey, PA, USA
- Department of Surgery, The Pennsylvania State University, College of Medicine, Hershey, PA, USA
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29
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Schmid D, Matthews CE, Leitzmann MF. Physical activity and sedentary behavior in relation to mortality among renal cell cancer survivors. PLoS One 2018; 13:e0198995. [PMID: 29894512 PMCID: PMC5997343 DOI: 10.1371/journal.pone.0198995] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 05/30/2018] [Indexed: 02/02/2023] Open
Abstract
Background The relations of physical activity and sedentary behavior to mortality risk among patients with renal cell cancer have not yet been evaluated. Methods We conducted a prospective cohort study among 667 renal cell cancer survivors aged 50–71 years of the National Institutes of Health (NIH)-AARP Diet and Health Study with a median follow-up time of 7.1 years. Post-diagnosis physical activity, TV viewing, and total sitting time were assessed using self-administered questionnaires. Hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality were estimated using Cox proportional hazards models. Results Increasing levels of moderate to vigorous physical activity were related to decreased risk of overall mortality [multivariable-adjusted HRs for <1 hr/wk (reference), 1 to 3 hrs/wk, ≥3 to <7 hrs/wk, and ≥7 hrs/wk = 1.0, 1.16, 0.94, and 0.60 (95% CI = 0.38–0.96; p-trend = 0.03)]. In contrast, television viewing was associated with increased risk of overall mortality in the age- and sex-adjusted model (HR for >4 hrs/d vs. 0 to 2 hrs/d = 1.52, 95% CI = 1.02–2.26; p-trend = 0.04), but the relation was attenuated following further control for other covariates (multivariable-adjusted HR = 1.44, 95% CI = 0.92–2.24; p-trend = 0.11). Total sitting time was unrelated to all-cause mortality. Conclusion Among renal cancer patients, moderate to vigorous physical activity is associated with decreased risk of overall mortality. Clinicians should consider discussing the potential benefits of physical activity for longevity among survivors of renal cell cancer.
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Affiliation(s)
- Daniela Schmid
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
- * E-mail:
| | - Charles E. Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Michael F. Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
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