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Li J, Yin YZ, Zhang J, Puts M, Li H, Lyu MM, Wang AN, Chen OY, Zhang JP. A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer. Support Care Cancer 2024; 32:155. [PMID: 38347229 DOI: 10.1007/s00520-024-08337-1] [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: 07/03/2023] [Accepted: 01/19/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE Sleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups. METHODS A total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality. RESULTS The following three latent profiles were identified: the "high-resilience group" (30.2%), the "moderate-resilience group" (46.0%), and the "low-resilience group" (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer. CONCLUSION The resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.
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Affiliation(s)
- Juan Li
- Xiangya School of Nursing, Central South University, Changsha, 410013, China
| | - Yi-Zhen Yin
- Xiangya School of Nursing, Central South University, Changsha, 410013, China
| | - Jie Zhang
- School of Nursing, Hunan University of Chinese Medicine, Changsha, 410208, China
| | - Martine Puts
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, M5T1P8, Canada
| | - Hui Li
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, 610041, China
- West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Meng-Meng Lyu
- Alice Lee Center for Nursing Studies, Yong Loo School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - An-Ni Wang
- School of Nursing, Fudan University, Shanghai, 200032, China
| | - Ou-Ying Chen
- School of Nursing, Hunan University of Chinese Medicine, Changsha, 410208, China.
| | - Jing-Ping Zhang
- Xiangya School of Nursing, Central South University, Changsha, 410013, China.
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Fathi JT. Integration of Tobacco Dependence Treatment in Lung Cancer Screening and Other Ambulatory Care Settings. Respir Med 2023. [DOI: 10.1007/978-3-031-24914-3_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Huang A, Wu XL, Song J, Wang YT, Yao Y, Liu Z, Wang H. Global trend and risk factors of the disease burden for pharynx and larynx cancers between 1990 and 2019: a systematic analysis of the global burden of disease study 2019. BMC Public Health 2022; 22:2192. [PMID: 36443799 PMCID: PMC9703662 DOI: 10.1186/s12889-022-14654-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 11/17/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Pharynx and larynx cancers (PLCs) are the top killer cancers in head and neck and significantly affect the quality of life of patients. A detailed study examining the disease burden and risk factors of PLCs is lacking. METHODS Data on mortality and disability-adjusted life-years (DALYs) were extracted from the Global Burden of Disease Study 2019. The estimated annual percentage change (EAPC) of the age-standardized mortality rate was calculated using a generalized linear model with a Gaussian distribution. Mortality and DALYs were stratified according to the sociodemographic index (SDI), age, gender, and risk factors. The association between the SDI and mortality rate was measured using Spearman's correlation. RESULTS Between 1990 and 2019, the total number of deaths due to PLCs increased by 60.7% (95% confidence intervals: 39.32 to 66.8), from 192.38 thousand in 1990 to 309.16 thousand in 2019, and the total DALYs due to PLCs increased by 49.41% (95% confidence intervals: 30.15 to 53.27), from 5.91 million in 1990 to 8.83 million in 2019. The age-standardized mortality rate declined for larynx cancer (from 2.19 in 1990 to 1.49 in 2019) and nasopharynx cancer (1.26 to 0.86) but increased slightly for other pharynx cancer (1.25 to 1.37). The death number of PLCs was significantly higher in men aged 50 to 70 years, which accounts for 46.05% and 43.83% of the total deaths in 1990 and 2019, respectively. Low and low-middle countries had the greatest age-standardized mortality rate for larynx and other pharynx cancer, while low-middle and middle countries dominated for nasopharynx cancer. The leading risk factors for PLCs were smoking and alcohol use, which account for 37.92% and 58.84% in total DALYs rate of PLCs, and the influence of risk factors was significant in men. CONCLUSION The total number of deaths and DALYs due to PLCs increased from 1990 to 2019. Countries with relatively low SDI and middle-aged and older men had the greatest burden of PLCs. Building better health care systems in relatively low SDI countries and improving strategies of smoking and alcohol control should be a priority in health policy.
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Affiliation(s)
- Ao Huang
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Xing-liang Wu
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Jia Song
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Yu-Ting Wang
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Yin Yao
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Zheng Liu
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Heng Wang
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
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Economic loss attributable to cigarette smoking in the USA: an economic modelling study. THE LANCET PUBLIC HEALTH 2022; 7:e834-e843. [DOI: 10.1016/s2468-2667(22)00202-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 07/21/2022] [Accepted: 08/02/2022] [Indexed: 11/20/2022] Open
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Neerukonda T, Richter KP, Hutcheson T, Cox LS, Ellerbeck EF, Mussulman L. Hospital-based tobacco treatment for inpatients with a history of cancer. Cancer Epidemiol 2022; 78:102123. [PMID: 35290905 DOI: 10.1016/j.canep.2022.102123] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 01/31/2022] [Accepted: 02/26/2022] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To describe treatment engagement and outcomes of patients who smoke with cancer and received tobacco cessation treatment during hospitalization. METHOD We analyzed treatment engagement and cessation outcomes for hospitalized patients who smoke with a current or former history of cancer receiving treatment from an inpatient tobacco treatment service between July, 2018 to October, 2019. RESULTS The service treated 407 inpatients. Patients had an overall high level of interest in quitting (7.6, 0-10 scale). One in three accepted cessation pharmacotherapies during hospitalization or at discharge (35%) and/or referral to the state tobacco quitline (37%). Of 189 patients reached at one-month post-discharge, 73 (39%) reported tobacco abstinence (18% intent to treat-ITT-quit rate); 35.5% had used cessation pharmacotherapy and 6.5% had engaged in quitline counseling. Of 151 patients reached at 6 months post-discharge, 29% reported abstinence (11%, ITT). CONCLUSION Inpatients with a history of cancer are interested in quitting. Post-discharge quit rates and pharmacotherapy use were high but quitline use was low. Hospitalization is an under-utilized, prime treatment opportunity and teachable moment for people with a history of cancer who continue to use tobacco.
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Affiliation(s)
- Thanuja Neerukonda
- HCA Florida Brandon Hospital Department of Internal Medicine, 119 Oakfield Drive, Brandon, FL 33511, USA; University of Kansas School of Medicine Department of Population Health, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - Kimber P Richter
- University of Kansas School of Medicine Department of Population Health, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA; University of Kansas Cancer Center, 4000 Cambridge Street, Kansas City, KS 66160, USA
| | - Tresza Hutcheson
- University of Kansas School of Medicine Department of Population Health, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA
| | - Lisa Sanderson Cox
- University of Kansas School of Medicine Department of Population Health, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA; University of Kansas Cancer Center, 4000 Cambridge Street, Kansas City, KS 66160, USA
| | - Edward F Ellerbeck
- University of Kansas School of Medicine Department of Population Health, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA; University of Kansas Cancer Center, 4000 Cambridge Street, Kansas City, KS 66160, USA
| | - Laura Mussulman
- University of Kansas School of Medicine Department of Population Health, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA
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Bjurlin MA, Basak R, Zambrano I, Schatz D, El Shahawy O, Sherman S, Matulewicz RS. Patterns and associations of smoking and electronic cigarette use among survivors of tobacco related and non-tobacco related cancers: A nationally representative cross-sectional analysis. Cancer Epidemiol 2022; 78:101913. [PMID: 33674247 DOI: 10.1016/j.canep.2021.101913] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 02/18/2021] [Accepted: 02/20/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Tobacco-use among cancer survivors leads to preventable morbidity, mortality, and increased healthcare costs. We sought to explore the prevalence of smoking and e-cigarette use among survivors of tobacco and non-tobacco related cancers. METHODS A cross-sectional analysis was conducted using the 2015-2018 National Health Interview Survey. Our primary outcome was the prevalence of current cigarette smoking or e-cigarette use among adults with self-reported history of tobacco related or non-tobacco related cancer. Logistic regression analysis was to assess the association of reported cancer type with cigarette smoking or e-cigarette use. Secondary outcomes included yearly trends and dual use. RESULTS A total of 12,984 respondents reported a history of cancer, representing a weighted estimate of 5,060,059 individuals with a history of tobacco-related malignancy and 17,583,788 with a history of a tobacco and non-tobacco related cancer, respectively. Survivors of tobacco-related cancers had a significantly higher prevalence of current cigarette use (18.2 % vs 9.7 %, P < 0.0001), e-cigarette use (2.7 % vs 1.6 %, P < 0.0001) and similar rates of dual use. The prevalence of cigarette smoking among all survivors increased as time increased from the year of diagnosis up to 2 years post-diagnosis (P = 0.047). Odds of reporting current cigarette smoking use was higher for survivors of tobacco-related cancers, adjusted for sociodemographic factors (OR1.69, 95 % CI 1.44-1.99). CONCLUSIONS Survivors of tobacco-related cancers have a higher prevalence of current cigarette smoking and e-cigarette use compared to survivors of non-tobacco related cancers. There was a sequential increase in the prevalence of cigarette use during each subsequent year from the time of a new cancer diagnosis, underscoring the need for long term tobacco cessation support among newly diagnosed adults with cancer.
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Affiliation(s)
- Marc A Bjurlin
- Department of Urology, University of North Carolina, Chapel Hill, NC, United States; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States.
| | - Ramsankar Basak
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC, United States
| | - Ibardo Zambrano
- Department of Urology, University of North Carolina, Chapel Hill, NC, United States
| | - Daniel Schatz
- Section on Tobacco, Alcohol and Drug Use, Department of Population Health, New York University School of Medicine, New York, NY, United States; Office of Behavioral Health, Health + Hospitals, New York, NY, United States
| | - Omar El Shahawy
- Section on Tobacco, Alcohol and Drug Use, Department of Population Health, New York University School of Medicine, New York, NY, United States
| | - Scott Sherman
- Section on Tobacco, Alcohol and Drug Use, Department of Population Health, New York University School of Medicine, New York, NY, United States
| | - Richard S Matulewicz
- Department of Urology, New York University, New York, NY, United States; Department of Population Health, New York University School of Medicine, New York, NY, United States
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Bolnick HJ, Bui AL, Bulchis A, Chen C, Chapin A, Lomsadze L, Mokdad AH, Millard F, Dieleman JL. Health-care spending attributable to modifiable risk factors in the USA: an economic attribution analysis. LANCET PUBLIC HEALTH 2020; 5:e525-e535. [PMID: 33007211 DOI: 10.1016/s2468-2667(20)30203-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 08/13/2020] [Accepted: 08/24/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND There is a robust understanding of how specific behavioural, metabolic, and environmental risk factors increase the risk of health burden. However, there is less understanding of how these risks individually and jointly affect health-care spending. The objective of this study was to quantify health-care spending attributable to modifiable risk factors in the USA for 2016. METHODS We extracted estimates of US health-care spending by condition, age, and sex from the Institute for Health Metrics and Evaluation's Disease Expenditure Study 2016 and merged these estimates with population attributable fraction estimates for 84 modifiable risk factors from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 to produce estimates of spending by condition attributable to these risk factors. Because not all spending can be linked to health burden, we adjusted attributable spending estimates downwards, proportional to the association between health burden and health-care spending across time and age for each aggregate health condition. We propagated underlying uncertainty from the original data sources by randomly pairing the draws from the two studies and completing our analysis 1000 times independently. FINDINGS In 2016, US health-care spending attributable to modifiable risk factors was US$730·4 billion (95% uncertainty interval [UI] 694·6-768·5), corresponding to 27·0% (95% UI 25·7-28·4) of total health-care spending. Attributable spending was largely due to five risk factors: high body-mass index ($238·5 billion, 178·2-291·6), high systolic blood pressure ($179·9 billion, 164·5-196·0), high fasting plasma glucose ($171·9 billion, 154·8-191·9), dietary risks ($143·6 billion, 130·3-156·1), and tobacco smoke ($130·0 billion, 116·8-143·5). Spending attributable to risk factor varied by age and sex, with the fraction of attributable spending largest for those aged 65 years and older (45·5%, 44·2-46·8). INTERPRETATION This study shows high spending on health care attributable to modifiable risk factors and highlights the need for preventing and controlling risk exposure. These attributable spending estimates can contribute to informed development and implementation of programmes to reduce risk exposure, their health burden, and health-care cost. FUNDING Vitality Institute.
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Affiliation(s)
| | - Anthony L Bui
- Department of Pediatrics, University of Washington, Seattle Children's Hospital, Seattle, WA, USA
| | - Anne Bulchis
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Carina Chen
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Abigail Chapin
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Liya Lomsadze
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
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Global burden of larynx cancer, 1990-2017: estimates from the global burden of disease 2017 study. Aging (Albany NY) 2020; 12:2545-2583. [PMID: 32035421 PMCID: PMC7041735 DOI: 10.18632/aging.102762] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 01/12/2020] [Indexed: 12/13/2022]
Abstract
Larynx cancer is one of the most common cancers in head and neck. This study aimed to investigate the health burden of larynx cancer at global, regional, and national levels. We collected data of larynx cancer between 1990 and 2017 from the Global Burden of Disease study, including incidence, mortality, and disability adjusted life-years (DALYs). Estimated annual percentage changes (EAPCs) were calculated to assess the changes in age-standardized rate (ASR) of larynx cancer. From 1990 to 2017, LC incident cases increased by 58.67%; however, age-standardized incidence rate (ASIR) decreased, with an EAPC of -0.99. Additionally, the incident cases and ASIR of LC were 6-fold higher for male than those for female in 2017. Over the past 28 years, deaths and DALYs of larynx cancer increased by 33.84% and 25%. Contrarily, age-standardized death and DALY rate showed a downward trend. Incidence, death, and DALYs of larynx cancer were always the highest in people aged 50-69 years. Overall, all the ASRs showed downward trends globally. The majority of larynx cancer burden was observed in men, especially among male aged 50-69 years. South and East Asia carried the heaviest burden of larynx cancer worldwide.
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Implementation of a Smoking Cessation Education Program in the Emergency Department. Adv Emerg Nurs J 2018; 40:204-213. [DOI: 10.1097/tme.0000000000000200] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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