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Charati FG, Shojaee L, Haghighat S, Esmaeili R, Madani Z, Charati JY, Hosseini SH, Shafipour V. Motor exercises effect on improving shoulders functioning, functional ability, quality of life, depression and anxiety for women with breast cancer. Clin Breast Cancer 2022; 22:666-673. [DOI: 10.1016/j.clbc.2022.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 07/17/2022] [Accepted: 07/19/2022] [Indexed: 11/03/2022]
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Bigman G, Adebamowo SN, Yawe KDT, Yilkudi M, Olaomi O, Badejo O, Famooto A, Ezeome E, Salu IK, Miner E, Anosike I, Achusi B, Adebamowo C. Leisure-time physical activity is associated with reduced risks of breast cancer and triple negative breast cancer in Nigerian women. Cancer Epidemiol 2022; 79:102195. [PMID: 35717688 PMCID: PMC9904209 DOI: 10.1016/j.canep.2022.102195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 04/26/2022] [Accepted: 06/01/2022] [Indexed: 02/09/2023]
Abstract
BACKGROUND Leisure-time physical activity(LTPA) is associated with a reduced risk of breast cancer, but this has less been investigated by cancer subtypes in Africans living in Sub-Saharan Africa(SSA). We examined the associations between LTPA and breast cancer including its subtypes in Nigerian women and explored the effect modification of body size on such associations. METHODS The sample included 508 newly diagnosed primary invasive breast cancer cases and 892 controls from the Nigerian Integrative Epidemiology of Breast Cancer(NIBBLE) Study. Immunohistochemical(IHC) analysis was available for 294 cases. Total metabolic equivalents(METs) per hour/week of LTPA were calculated and divided by quartiles(Q1 <3.75, Q2:3.75-6.69, Q3:6.70-14.74, Q4:14.75 ≤). We applied logistic regressions to estimate the adjusted Odds Ratios(ORs) between LTPA and breast cancer and by its molecular subtypes and whether age-adjusted associations are modified by BMI. RESULTS The mean age(Mean±SD) of cases vs. controls(45.5 ± 11.1vs.40.1 ± 9.0) was higher, and the mean total METs hour/week was higher in controls vs. cases(11.9 ± 14.9vs.8.3 ± 11.1,p-value<0.001). Overall, 43.2%(N = 127/294) were classified as HRP, and 41.8%(N = 123/294) as TNBC. Women in the higher LTPA quartiles(Q3-Q4) vs. Q1 had lower odds of having breast cancer(ORQ4vs.Q1=0.51,95%CI:0.35-0.74) and TNBC(ORQ4vs.Q1=0.51, 95%CI:0.27-0.96), but not HRP(ORQ4vs.Q1=0.61,95%CI:0.34-1.09) after adjusting for age, age at first menarche, body size, breastfeeding, menopausal, parity, contraceptives, demographics, alcohol, smoking, and physical activity at home and work. Lastly, LTPA and its age-adjusted association with breast cancer was more pronounced in women with BMI< 30 vs. BMI 30 + . CONCLUSIONS LTPA may reduce the risk of breast cancer, especially TNBC, which is the more aggressive and prevalent molecular subtype of breast cancer in SSA.
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Affiliation(s)
- Galya Bigman
- Department of Epidemiology and Public Health, Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, United States,Correspondence to: 725 Lombard Street, Baltimore, MD 21201, United States. (G. Bigman), (C. Adebamowo)
| | - Sally N. Adebamowo
- Department of Epidemiology and Public Health, Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, United States
| | | | - Monday Yilkudi
- University of Abuja Teaching Hospital, Gwagwalada, Nigeria
| | | | | | - Ayo Famooto
- African Collaborative Center for Microbiome and Genomics Research(ACCME) Biorepository and Research Laboratory, Institute of Human Virology, Nigeria
| | | | | | | | | | | | - Clement Adebamowo
- Department of Epidemiology and Public Health, Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, United States,African Collaborative Center for Microbiome and Genomics Research(ACCME) Biorepository and Research Laboratory, Institute of Human Virology, Nigeria,Correspondence to: 725 Lombard Street, Baltimore, MD 21201, United States. (G. Bigman), (C. Adebamowo)
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Azubuike SO, Hayes L, Sharp L, Alabi A, Oyesegun RA, McNally R. Physical activity and the risk of breast cancer among Nigerian women. Cancer Epidemiol 2022; 78:102163. [DOI: 10.1016/j.canep.2022.102163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 04/12/2022] [Accepted: 04/14/2022] [Indexed: 12/24/2022]
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Hardefeldt PJ, Penninkilampi R, Edirimanne S, Eslick GD. Physical Activity and Weight Loss Reduce the Risk of Breast Cancer: A Meta-analysis of 139 Prospective and Retrospective Studies. Clin Breast Cancer 2018; 18:e601-e612. [DOI: 10.1016/j.clbc.2017.10.010] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 09/21/2017] [Accepted: 10/11/2017] [Indexed: 12/17/2022]
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The association of ambient air pollution and physical inactivity in the United States. PLoS One 2014; 9:e90143. [PMID: 24598907 PMCID: PMC3943902 DOI: 10.1371/journal.pone.0090143] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 12/20/2013] [Indexed: 11/19/2022] Open
Abstract
Background Physical inactivity, ambient air pollution and obesity are modifiable risk factors for non-communicable diseases, with the first accounting for 10% of premature deaths worldwide. Although community level interventions may target each simultaneously, research on the relationship between these risk factors is lacking. Objectives After comparing spatial interpolation methods to determine the best predictor for particulate matter (PM2.5; PM10) and ozone (O3) exposures throughout the U.S., we evaluated the cross-sectional association of ambient air pollution with leisure-time physical inactivity among adults. Methods In this cross-sectional study, we assessed leisure-time physical inactivity using individual self-reported survey data from the Centers for Disease Control and Prevention's 2011 Behavioral Risk Factor Surveillance System. These data were combined with county-level U.S. Environmental Protection Agency air pollution exposure estimates using two interpolation methods (Inverse Distance Weighting and Empirical Bayesian Kriging). Finally, we evaluated whether those exposed to higher levels of air pollution were less active by performing logistic regression, adjusting for demographic and behavioral risk factors, and after stratifying by body weight category. Results With Empirical Bayesian Kriging air pollution values, we estimated a statistically significant 16–35% relative increase in the odds of leisure-time physical inactivity per exposure class increase of PM2.5 in the fully adjusted model across the normal weight respondents (p-value<0.0001). Evidence suggested a relationship between the increasing dose of PM2.5 exposure and the increasing odds of physical inactivity. Conclusions In a nationally representative, cross-sectional sample, increased community level air pollution is associated with reduced leisure-time physical activity particularly among the normal weight. Although our design precludes a causal inference, these results provide additional evidence that air pollution should be investigated as an environmental determinant of inactivity.
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Abstract
Epidemiological evidence continues to accumulate on the benefits of physical activity in relation to cancer risk, progression and mortality. Recent studies suggest that sedentary behavior may independently affect cancer risk; they also focus on factors that may explain associations with physical activity, including cancer risk factors and whether associations exist for precancerous lesions. Despite enormous efforts to examine associations between physical activity and cancer, the literature is hindered by inconsistent assessment of physical activity across studies, and incomplete consideration of variation of effects across population subgroups (for example, defined by body size, age or sex) or tumors subgroups (organ location, receptor status, or molecular subtype), and whether other factors explain study results. Clearly, public health recommendations for appropriate changes in activity levels are needed; unfortunately, at this time, we have no exact physical activity prescription to give to the public.
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