Association between wholesome way of life rating and danger of a number of myeloma: a case–management research

Cowan, A. J. et al. Diagnosis and Management of Multiple Myeloma: A Review. Jama 327 (5), 464–477 (2022).

Google Scholar 

Kumar, S. Ok. et al. Multiple myeloma. Nat. Rev. Dis. Primers. 3, 17046 (2017).

Google Scholar 

Rajkumar, S. V. Multiple myeloma: 2020 replace on prognosis, risk-stratification and administration. Am. J. Hematol. 95 (5), 548–567 (2020).

Google Scholar 

Darbandi, M. et al. A comparability of the burden of cancers between 1990 and 2019 in Iran: A nationwide and subnational research. PLoS One. 20 (2), e0309699 (2025).

Google Scholar 

Hadavandsiri, F. et al. Cancer incidence in Iran in 2016: A research primarily based on the Iranian National Cancer Registry. Cancer Rep. (Hoboken). 7 (2), e1967 (2024).

Google Scholar 

Jafari-Delouei, N. et al. Incidence, Time Trends and Geographical Distribution of Leukemia and Multiple Myeloma in Golestan Province, Northern Iran, 2004–2017. Arch. Iran. Med. 25 (6), 360–365 (2022).

Google Scholar 

Solimando, A. G. et al. Breaking by Multiple Myeloma: A Paradigm for a Comprehensive Tumor Ecosystem Targeting. Biomedicines 11 (7), 2087 (2023).

Google Scholar 

Cancer Research, U. Ok. Myeloma survival. (2023).

Suska, A. et al. The Role of Lifestyle and Environmental Factors within the Pathogenesis of Multiple Myeloma. Eur. J. Haematol. 114 (5), 812–821 (2025).

Google Scholar 

Marinac, C. R. et al. Body mass index all through maturity, bodily exercise, and danger of a number of myeloma: a potential evaluation in three giant cohorts. Br. J. Cancer. 118 (7), 1013–1019 (2018).

Google Scholar 

Marcon, C. et al. Experts’ consensus on the definition and administration of excessive danger a number of myeloma. Front. Oncol. 12, 1096852 (2022).

Google Scholar 

Chang, S. H. et al. Obesity and the Transformation of Monoclonal Gammopathy of Undetermined Significance to Multiple Myeloma: A Population-Based Cohort Study. J. Natl. Cancer Inst. 109 (5), djw264 (2017).

Google Scholar 

Alexander, D. D. et al. Epidemiology of a number of myeloma: a overview. Int. J. Cancer. 120 (S12), 3–10 (2007).

Google Scholar 

Corre, J., Munshi, N. C. & Avet-Loiseau, H. Risk elements in a number of myeloma: is it time for a revision? Blood 137 (1), 16–19 (2021).

Google Scholar 

Landgren, O. R. & Vincent, S. Prevention of a number of myeloma and precursor illnesses: a analysis agenda. JAMA Oncol. 2 (10), 1233–1234 (2011).

Google Scholar 

Kushi, L. H. et al. Cancer prevention: behavioral and social influences (A Cancer Journal for Clinicians, 2012).

Romaguera, D. et al. Slimani, N. Healthy way of life and the chance of most cancers within the European Prospective Investigation into Cancer and Nutrition cohort. Int. J. Epidemiol. 95 (16), e2850 (2013).

Google Scholar 

Li, Y. et al. Healthy way of life and life expectancy freed from most cancers, heart problems, and kind 2 diabetes: potential cohort research. Bmj 368, l6669 (2020).

Google Scholar 

McKenzie, F. et al. Healthy way of life and danger of breast most cancers amongst postmenopausal ladies within the European Prospective Investigation into Cancer and Nutrition cohort research. Int. J. Cancer. 136 (11), 2640–2648 (2015).

Google Scholar 

Hanahan, D. & Weinberg, R. A. The hallmarks of most cancers: the subsequent era. (2011).

Aghayan, M. et al. Secular development in dietary patterns of Iranian adults from 2006 to 2017: Tehran lipid and glucose research. Nutr. J. 19 (1), 110 (2020).

Google Scholar 

Djalalinia, S. et al. The ranges of BMI and patterns of weight problems and chubby through the COVID-19 pandemic: Experience from the Iran STEPs 2021 survey. Front. Endocrinol. (Lausanne). 13, 1043894 (2022).

Google Scholar 

Abbasi-Kangevari, M. et al. Tobacco consumption patterns amongst Iranian adults: a nationwide and sub-national replace from the STEPS survey 2021. Sci. Rep. 13 (1), 10272 (2023).

Google Scholar 

Nejadghaderi, S. A. et al. Physical exercise sample in Iran: Findings from STEPS 2021. Front. Public. Health. 10, 1036219 (2022).

Google Scholar 

Naudin, S. et al. Healthy way of life and the chance of lymphoma within the European Prospective Investigation into Cancer and Nutrition research. Int. J. Cancer. 147 (6), 1649–1656 (2020).

Google Scholar 

Ebrahimpour-Koujan, S., Shayanfar, M., Mohammad-Shirazi, M., Sharifi, G. & Esmaillzadeh, A. A mixed wholesome way of life rating in relation to glioma: a case-control research. Nutr. J. 21 (1), 6 (2022).

Google Scholar 

Jowshan, M. R. et al. Adherence to mixed wholesome way of life and odds of metabolic syndrome in Iranian adults: the PERSIAN Dena cohort research. Sci. Rep. 15 (1), 5164 (2025).

Google Scholar 

Trichopoulou, A., Costacou, T., Bamia, C. & Trichopoulos, D. Adherence to a Mediterranean food plan and survival in a Greek inhabitants. N Engl. J. Med. 348 (26), 2599–2608 (2003).

Google Scholar 

Couto, E. et al. Mediterranean dietary sample and most cancers danger within the EPIC cohort. Br. J. Cancer. 104 (9), 1493–1499 (2011).

Google Scholar 

Moghaddam, M. H. B. et al. The Iranian Version of International Physical Activity Questionnaire (IPAQ) in Iran: Content and Construct Validity, Factor Structure, Internal Consistency and Stability. World Appl. Sci. J. 18, 1073–1080 (2012).

Google Scholar 

Mirmiran, P., Esfahani, F. H., Mehrabi, Y., Hedayati, M. & Azizi, F. Reliability and relative validity of an FFQ for vitamins within the Tehran lipid and glucose research. Public. Health Nutr. 13 (5), 654–662 (2010).

Google Scholar 

Nutritionist, I. N-squared computing (Nutritionist IV, 1998).

Perrotta, C., Staines, A. & Cocco, P. Multiple myeloma and farming. A scientific overview of 30 years of analysis. Where subsequent? J. Occup. Med. Toxicol. 3, 27 (2008).

Google Scholar 

Spss, I. IBM SPSS statistics for home windows, model 23.0 (IBM Corp, 2015).

Hoenig, J. M. & Heisey, D. M. The abuse of energy: the pervasive fallacy of energy calculations for knowledge evaluation. Am. Stat. 55 (1), 19–24 (2001).

Google Scholar 

Kelsey, J. L. Methods in observational epidemiology: Monographs in Epidemiology and; (1996).

Zahedi, H. et al. The affiliation between the dietary inflammatory index and a number of myeloma: a case-control research. Sci. Rep. 15 (1), 3123 (2025).

Google Scholar 

Ugai, T. et al. Association of BMI, Smoking, and Alcohol with Multiple Myeloma Mortality in Asians: A Pooled Analysis of More than 800,000 Participants within the Asia Cohort Consortium. Cancer Epidemiol. Biomarkers Prev. 28 (11), 1861–1867 (2019).

Google Scholar 

Nyberg, S. T. et al. Association of wholesome way of life with years lived with out main continual illnesses. JAMA Intern. Med. 180 (5), 760–768 (2020).

Google Scholar 

Chudasama, Y. V. et al. Healthy way of life and life expectancy in individuals with multimorbidity within the UK Biobank: a longitudinal cohort research. PLoS Med. 17 (9), e1003332 (2020).

Google Scholar 

Che, M. et al. Healthy Lifestyle Score and Glycemic Control in Type 2 Diabetes Mellitus Patients: A City-Wide Survey in China. Healthc. (Basel). 11, 14 (2023).

Google Scholar 

He, P. et al. A wholesome way of life, Life’s Essential 8 scores and new-onset extreme NAFLD: A potential evaluation in UK Biobank. Metabolism 146, 155643 (2023).

Google Scholar 

Guasch-Ferré, M. et al. Healthy way of life rating together with sleep length and heart problems danger. Am. J. Prev. Med. 63 (1), 33–42 (2022).

Google Scholar 

Zhao, H. Q. et al. Association between inflammatory rating, wholesome way of life, and heart problems: a nationwide cohort research. Front. Nutr. 12, 1534458 (2025).

Google Scholar 

Kurth, T. et al. Healthy Lifestyle and the Risk of Stroke in Women. Arch. Intern. Med. 166 (13), 1403–1409 (2006).

Google Scholar 

Kocarnik, J. M. et al. Cancer incidence, mortality, years of life misplaced, years lived with incapacity, and disability-adjusted life years for 29 most cancers teams from 2010 to 2019: a scientific evaluation for the worldwide burden of illness research 2019. JAMA Oncol. 8 (3), 420–444 (2022).

Google Scholar 

Arruebo, M. et al. Assessment of the evolution of most cancers therapy therapies. Cancers (Basel). 3 (3), 3279–3330 (2011).

Google Scholar 

Zhang, Y-B. et al. Combined way of life elements, incident most cancers, and most cancers mortality: a scientific overview and meta-analysis of potential cohort research. Br. J. Cancer. 122 (7), 1085–1093 (2020).

Google Scholar 

Ghosn, B., Benisi-Kohansal, S., Ebrahimpour-Koujan, S., Azadbakht, L. & Esmaillzadeh, A. Association between wholesome way of life rating and breast most cancers. Nutr. J. 19, 1–11 (2020).

Google Scholar 

Jiao, L. et al. A Combined Healthy Lifestyle Score and Risk of Pancreatic Cancer in a Large Cohort Study. Arch. Intern. Med. 169 (8), 764–770 (2009).

Google Scholar 

Carr, P. R. et al. Healthy way of life elements related to decrease danger of colorectal most cancers no matter genetic danger. Gastroenterology 155 (6), 1805–1815 (2018). e5.

Google Scholar 

Shen, Y. et al. Polygenic danger rating, wholesome way of life rating, and colorectal most cancers danger: a potential cohort research. Cancer Epidemiol. Biomarkers Prev. 34 (2), 290–297 (2025).

Google Scholar 

Buckland, G. et al. Healthy way of life index and danger of gastric adenocarcinoma within the EPIC cohort research. Int. J. Cancer. 137 (3), 598–606 (2015).

Google Scholar 

Parodi, S. et al. Lifestyle elements and danger of leukemia and non-Hodgkin’s lymphoma: a case–management research. Cancer Causes Control. 27 (3), 367–375 (2016).

Google Scholar 

Byrne, S. et al. Lifestyle, genetic danger and incidence of most cancers: a potential cohort research of 13 most cancers sorts. Int. J. Epidemiol. 52 (3), 817–826 (2023).

Google Scholar 

Antwi, S. O. et al. Pancreatic most cancers: associations of inflammatory potential of food plan, cigarette smoking and long-standing diabetes. Carcinogenesis 37 (5), 481–490 (2016).

Google Scholar 

Malard, F. et al. Multiple myeloma. Nat. Rev. Dis. Primers. 10 (1), 45 (2024).

Google Scholar 

Tie, W. et al. Obesity as a danger issue for a number of myeloma: perception on the position of adipokines. Pathol. Oncol. Res. 29, 1611338 (2023).

Google Scholar 

Lee, D. H. et al. Dietary sample and danger of a number of myeloma in two giant potential US cohort research. JNCI most cancers Spectr. 3 (2), pkz025 (2019).

Google Scholar 

Castro, F. et al. Pre-diagnosis dietary patterns and danger of a number of myeloma within the NIH-AARP food plan and well being research. Leukemia 38 (2), 438–441 (2024).

Google Scholar 

Sitlinger, A., Brander, D. M. & Bartlett, D. B. Impact of train on the immune system and outcomes in hematologic malignancies. Blood Adv. 4 (8), 1801–1811 (2020).

Google Scholar 

Urban, V. S., Cegledi, A. & Mikala, G. Multiple myeloma, a quintessential malignant illness of getting older: a geroscience perspective on pathogenesis and therapy. Geroscience 45 (2), 727–746 (2023).

Google Scholar 

Coyle, Ok. M., Boudreau, J. E. & Marcato, P. Genetic Mutations and Epigenetic Modifications: Driving Cancer and Informing Precision Medicine. Biomed. Res. Int. 2017, 9620870 (2017).

Google Scholar 

Siegel, R. L., Miller, Ok. D., Wagle, N. S. & Jemal, A. Cancer statistics, 2023. CA Cancer J. Clin. 73 (1), 17–48 (2023).

Google Scholar 

Lazarus, E. & Bays, H. E. Cancer and Obesity: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022. Obes. Pillars. 3, 100026 (2022).

Google Scholar 

Célind, J., Bygdell, M., Martikainen, J., Ohlsson, C. & Kindblom, J. M. Childhood chubby and danger of obesity-related grownup most cancers in males. Cancer Commun. (Lond). 42 (6), 576–579 (2022).

Google Scholar 

Hayes, J. D., Dinkova-Kostova, A. T. & Tew, Ok. D. Oxidative stress in most cancers. Cancer cell. 38 (2), 167–197 (2020).

Google Scholar 

Goñi, I. & Hernández-Galiot, A. Intake of nutrient and non-nutrient dietary antioxidants. contribution of macromolecular antioxidant polyphenols in an aged Mediterranean inhabitants. Nutrients 11 (9), 2165 (2019).

Google Scholar 

Agaj, A., Peršurić, Ž. & Pavelić, S. Ok. Mediterranean Food Industry By-Products as a Novel Source of Phytochemicals with a Promising Role in Cancer Prevention. Molecules 27 (24), 8655 (2022).

Google Scholar 

Wang, Q. & Zhou, W. Roles and molecular mechanisms of bodily train in most cancers prevention and therapy. J. sport well being Sci. 10 (2), 201–210 (2021).

Google Scholar 

Barbería-Latasa, M., Gea, A. & Martínez-González, M. A. Alcohol, ingesting sample, and continual illness. Nutrients 14 (9), 1954 (2022).

Google Scholar 

Caliri, A. W., Tommasi, S. & Besaratinia, A. Relationships amongst smoking, oxidative stress, irritation, macromolecular harm, and most cancers. Mutat. Res. Rev. Mutat. Res. 787, 108365 (2021).

Google Scholar 

Reuter, S., Gupta, S. C., Chaturvedi, M. M. & Aggarwal, B. B. Oxidative stress, irritation, and most cancers: how are they linked? Free Radic Biol. Med. 49 (11), 1603–1616 (2010).

Google Scholar 

Marino, P. et al. Healthy Lifestyle and Cancer Risk: Modifiable Risk Factors to Prevent Cancer. Nutrients 16 (6), 800 (2024).

Google Scholar