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Vynckier P, Schmidt M, Nayani S, Guariguata L, Devleesschauwer B, Verhaeghe N. The economic burden of smoking in Belgium: incremental healthcare costs and lost productivity. Eur J Public Health 2025; 35:108-113. [PMID: 39844617 PMCID: PMC11832142 DOI: 10.1093/eurpub/ckae211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2025] Open
Abstract
Tobacco use is among the leading behavioural risk factors for morbidity and mortality. These high rates result in a high cost to society. Therefore, the aim of the current study was to provide a contemporary overview of the direct medical and indirect costs attributable to smoking tobacco in Belgium. Data from the Belgian Health Interview Survey (BHIS) was combined with health insurance claims data. Healthcare costs were calculated on individuals' cigarette smoking patterns (daily, former, and never smokers). Lost productivity costs were calculated by multiplying the number of absence days by the national average wage cost per day. Univariate and multivariable regression analyses with negative binomial distribution and log link were performed to evaluate the average healthcare costs and indirect costs in relation to tobacco use, socio-demographic characteristics, and (behavioural) risk factors. A total of 10 829 individuals were included in the analyses, of which 47.7% were men, with 15% being smokers. Men were more likely to be smokers than women (56.8% vs. 43.2%; P < 0.001). Compared to never smokers, significantly higher direct medical costs were found for daily (20%; P = 0.03) and former smokers (27%; P < 0.001). No significant differences were observed for the indirect costs for the smoking population compared to never smokers. Taking into account that 15% of the Belgian population were daily smokers in 2018, the national cost for daily smokers equates to €533.861.010. Results of our study show that cigarette smoking has higher direct medical costs compared with never smokers.
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Affiliation(s)
- Pieter Vynckier
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Masja Schmidt
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Sarah Nayani
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Leonor Guariguata
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Brecht Devleesschauwer
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Translational Physiology, Infectiology and Public Health, Ghent University—Campus Merelbeke, Merelbeke, Belgium
| | - Nick Verhaeghe
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
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Rissanen I, Nerg I, Oura P, Huikari S, Korhonen M. Productivity costs of lifelong smoking-the Northern Finland Birth Cohort 1966 study. Eur J Public Health 2024; 34:572-577. [PMID: 38552215 PMCID: PMC11161164 DOI: 10.1093/eurpub/ckae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Smoking is one of the leading causes of impaired health and mortality. Loss of paid and unpaid work and replacements due to morbidity and mortality result in productivity costs. Our aim was to investigate the productivity costs of lifelong smoking trajectories and cumulative exposure using advanced human capital method (HCM) and friction cost method (FCM). METHODS Within the Northern Finland Birth Cohort 1966 (NFBC1966), 10 650 persons were followed from antenatal period to age 55 years. The life course of smoking behaviour was assessed with trajectory modelling and cumulative exposure with pack-years. Productivity costs were estimated with advanced HCM and FCM models by using detailed, national register-based data on care, disability, mortality, education, taxation, occupation and labour market. A two-part regression model was used to predict productivity costs associated with lifelong smoking and cumulative exposure. RESULTS Of the six distinct smoking trajectories, lifetime smokers had the highest productivity costs followed by late starters, late adult quitters, young adult quitters and youth smokers. Never-smokers had the lowest productivity costs. The higher the number of pack-years, the higher the productivity costs. Uniform patterns were found in both men and women and when estimated with HCM and FCM. The findings were independent of other health behaviours. CONCLUSIONS Cumulative exposure to smoking is more crucial to productivity costs than starting or ending age of smoking. This suggests that the harmful effects of smoking depend on dose and duration of smoking and are irrespective of age when smoking occurred.
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Affiliation(s)
- Ina Rissanen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Iiro Nerg
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Economics, Oulu Business School, University of Oulu, Oulu, Finland
| | - Petteri Oura
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
| | - Sanna Huikari
- Department of Economics, Oulu Business School, University of Oulu, Oulu, Finland
| | - Marko Korhonen
- Department of Economics, Oulu Business School, University of Oulu, Oulu, Finland
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Garg RK. Concerns regarding the consequences of Nicotex for smoking and tobacco chewing cessation. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2024; 13:159. [PMID: 38784268 PMCID: PMC11114586 DOI: 10.4103/jehp.jehp_10_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/11/2024] [Indexed: 05/25/2024]
Affiliation(s)
- Ram K. Garg
- Department of Community Health Nursing, Teerthanker Mahaveer University, College of Nursing Moradabad, Uttar Pradesh, India
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Garg RK. Concerns regarding the consequences of Nicotex for smoking and tobacco chewing cessation. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2024; 13. [DOI: pmid: 38784268 pmcid: pmc11114586 doi: 10.4103/jehp.jehp_10_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/11/2024] [Indexed: 04/10/2025]
Affiliation(s)
- Ram K. Garg
- Department of Community Health Nursing, Teerthanker Mahaveer University, College of Nursing Moradabad, Uttar Pradesh, India
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Arena G, Cumming C, Lizama N, Mace H, Preen DB. Hospital length of stay and readmission after elective surgery: a comparison of current and former smokers with non-smokers. BMC Health Serv Res 2024; 24:85. [PMID: 38233897 PMCID: PMC10792937 DOI: 10.1186/s12913-024-10566-3] [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: 05/09/2023] [Accepted: 01/05/2024] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND The purpose of this study was to investigate differences between non-smokers, ex-smokers and current smokers in hospital length of stay (LOS), readmission (seven and 28 days) and cost of readmission for patients admitted for elective surgery. METHODS A retrospective cohort study of administrative inpatient data from 24, 818 patients admitted to seven metropolitan hospitals in Western Australia between 1 July 2016 and 30 June 2019 for multiday elective surgery was conducted. Data included smoking status, LOS, procedure type, age, sex and Indigenous status. LOS for smoking status was compared using multivariable negative binomial regression. Odds of readmission were compared for non-smokers and both ex-smokers and current smokers using separate multivariable logistic regression models. RESULTS Mean LOS for non-smokers (4.7 days, SD=5.7) was significantly lower than both ex-smokers (6.2 days SD 7.9) and current smokers (6.1 days, SD=8.2). Compared to non-smokers, current smokers and ex-smokers had significantly higher odds of readmission within seven (OR=1.29; 95% CI: 1.13, 1.47, and OR=1.37; 95% CI: 1.19, 1.59, respectively) and 28 days (OR=1.35; 95% CI: 1.23, 1.49, and OR=1.53; 95% CI: 1.39, 1.69, respectively) of discharge. The cost of readmission for seven and 28-day readmission was significantly higher for current smokers compared to non-smokers (RR=1.52; 95% CI: 1.1.6, 2.0; RR=1.39; 95% CI: 1.18, 1.65, respectively). CONCLUSION Among patients admitted for elective surgery, hospital LOS, readmission risk and readmission costs were all higher for smokers compared with non-smokers. The findings indicate that provision of smoking cessation treatment for adults undergoing elective surgery is likely to produce multiple benefits.
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Affiliation(s)
- Gina Arena
- School of Population and Global Health M431, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009, Australia.
| | - Craig Cumming
- School of Population and Global Health M431, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009, Australia
| | - Natalia Lizama
- Cancer Council Western Australia, Subiaco, Western Australia, Australia
- Curtin University, Bentley, Western Australia, Australia
| | - Hamish Mace
- Division of Emergency Medicine, The University of Western Australia, Perth, Western Australia, Australia
- Department of Anaesthesia and Pain Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - David B Preen
- School of Population and Global Health M431, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009, Australia
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Tang VM, Goud R, Zawertailo L, Selby P, Coroiu A, Sloan ME, Chenoweth MJA, Buchman D, Ibrahim C, Blumberger DM, Foll BL. Repetitive transcranial magnetic stimulation for smoking cessation: Next steps for translation and implementation into clinical practice. Psychiatry Res 2023; 326:115340. [PMID: 37454610 DOI: 10.1016/j.psychres.2023.115340] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/04/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023]
Abstract
Tobacco smoking is a significant determinant of preventable morbidity and mortality worldwide. It is now possible to modulate the activity of the neurocircuitry associated with nicotine dependence using repetitive Transcranial Magnetic Stimulation (rTMS), a non-invasive neurostimulation approach, which has recently demonstrated efficacy in clinical trials and received regulatory approval in the US and Canada. However there remains a paucity of replication studies and real-world patient effectiveness data as access to this intervention is extremely limited. There are a number of unique challenges related to the delivery of rTMS that need to be addressed prior to widespread adoption and implementation of this treatment modality for smoking cessation. In this paper, we review the accessibility, scientific, technological, economical, and social challenges that remain before this treatment can be translated into clinical practice. By addressing these remaining barriers and scientific challenges with rTMS for smoking cessation and delineating implementation strategies, we can greatly reduce the burden of tobacco-related disease worldwide.
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Affiliation(s)
- Victor M Tang
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Institute for Medical Science, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Centre for Addiction and Mental Health, Institute of Mental Health Policy Research, Canada; Centre for Addiction and Mental Health, Temerty Centre for Therapeutic Brain Intervention, Canada.
| | - Rachel Goud
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada
| | - Laurie Zawertailo
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Centre for Addiction and Mental Health, Institute of Mental Health Policy Research, Canada; Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Canada
| | - Peter Selby
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Institute for Medical Science, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Centre for Addiction and Mental Health, Institute of Mental Health Policy Research, Canada; Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Canada
| | - Adina Coroiu
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada
| | - Matthew E Sloan
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Institute for Medical Science, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Centre for Addiction and Mental Health, Institute of Mental Health Policy Research, Canada; Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Canada
| | - Meghan Jo-Ann Chenoweth
- Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Canada
| | - Daniel Buchman
- Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Dalla Lana School of Public Health, University of Toronto, Canada
| | - Christine Ibrahim
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Institute for Medical Science, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Addiction Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Daniel M Blumberger
- Institute for Medical Science, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Centre for Addiction and Mental Health, Temerty Centre for Therapeutic Brain Intervention, Canada
| | - Bernard Le Foll
- Addictions Division, Centre for Addiction and Mental Health, 100 Stokes St, Toronto, ON, Canada; Institute for Medical Science, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Canada; Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Canada; Centre for Addiction and Mental Health, Institute of Mental Health Policy Research, Canada; Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Canada; Translational Addiction Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada; Waypoint Research Institute, Waypoint Centre for Mental Health Care, Penetanguishene, ON, Canada
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Mohd Noordin Z, Neoh CF, Ibrahim@ Ghazali NH, Karuppannan M. "A person who do not smoke will not understand a person who smokes and trying to quit…" Insights From Quit Smoking Clinics' Defaulters: A Qualitative Study. J Patient Exp 2023; 10:23743735231184690. [PMID: 37424538 PMCID: PMC10328151 DOI: 10.1177/23743735231184690] [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] [Indexed: 07/11/2023] Open
Abstract
This study explored the factors contributing to discontinuation of people who smoke (PWS) from quit smoking clinic prior to achieving 6-month abstinence. Fifteen active PWS were interviewed via telephone and face-to-face. Interviews were audio-recorded, transcribed and analysed using thematic analysis. At individual level, low intrinsic motivation including unreadiness to quit, low self-efficacy and ambivalence on smoking cessation were barriers to attain successful cessation. Influence of extrinsic factors such as work-related factors, social interaction and ill-health burden lead to poor commitment with QSC. At the clinic level, healthcare professional's competency, personal attributes, pharmacotherapy's efficacy, safety and availability were important components that may affect a participant's effort to quit. Working commitment was highlighted as the primary barrier for a successful cessation. Hence, effective intervention and collaborative effort between healthcare facilities and employers are essential to optimise cessation adherence among employees who smoke which subsequently will enhance their abstinence rates.
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Affiliation(s)
- Zakiah Mohd Noordin
- Department of Clinical Pharmacy, Faculty of Pharmacy, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, Selangor, Malaysia
- Cardiology Therapeutics Research Group, Faculty of Pharmacy, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, Selangor, Malaysia
| | - Chin Fen Neoh
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | | | - Mahmathi Karuppannan
- Department of Clinical Pharmacy, Faculty of Pharmacy, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, Selangor, Malaysia
- Cardiology Therapeutics Research Group, Faculty of Pharmacy, Universiti Teknologi MARA Selangor Branch, Puncak Alam Campus, Selangor, Malaysia
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Madae’en S, Istaiteyeh R, Adeinat M, Obeidat N, Baninasur RA, Haddad M. Smoking cessation economic benefits in a human capital approach: emerging evidence in Jordan. PHARMACIA 2022. [DOI: 10.3897/pharmacia.69.e96801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background: Smoking is a major cause globally of morbidity and mortality hence life years lost, this issue manifested in 399 Million Jordanian dinars (JD)($562.3 million USD) lost yearly due to productivity lost as a consequence of smoking in Jordan1. It is no surprise that quitting smoking will reduce the loss in life years and hence productivity. In this study, using cohort simulation, we want to quantify the gains in productivity from smoking cessation aids usage for one course of smoking cessation aid varenicline or nicotine replacement therapy in comparison to physician counseling only without pharmacological therapy, in the population that intends to quit at a point of time, through campaigns nationwide, among the working-age population followed up until retirement.
Methodology: We present a transparent, generic model based on accepted analytic methods that allow users to assess the present value of lifetime earnings gained (PVLE) in smokers who intend to quit. It is shown in previous studies that smoking cessation aids are cost-effective in Jordan (Madae’en et al. 2020), yet the benefit of using smoking cessation aids goes further to reduce productivity loss by reducing life years lost. Our model incorporates life-years gained from the Markov Model in Madae’en et al. (2020), simulation of Jordanian male smokers’ cohort in three scenarios of either using varenicline or nicotine replacement therapy or only physician consultation, to estimate life-years gained and hence reduction in lost productivity costs.
Results: We found productivity loss was reduced in males who attempted to quit in their productive years. Using Varenicline, the researchers calculated the expected future payments (wages) count for years gained due to varenicline use for a wage average of 507 JDs ($714.5 USD) per month discounted by 8% for the rest of their productive life. As well as for the other two scenarios, the gained productivity from one course of varenicline to the male adults over 30 who intend to quit will reduce loss by more than 72 billion JDs ($101.42 billion USD) among the working-age population followed up until retirement.
Conclusion: policy change must be approached to reimbursement of smoking cessation aid in the Jordanian formulary.
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A Provider - Patient Relationship: The Critical First Step of Smoking Cessation. J Gen Intern Med 2020; 35:10-11. [PMID: 31720963 PMCID: PMC6957666 DOI: 10.1007/s11606-019-05276-0] [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: 10/25/2022]
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Gender Differences in Labour Losses Associated with Smoking-Related Mortality. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16193644. [PMID: 31569364 PMCID: PMC6801577 DOI: 10.3390/ijerph16193644] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Revised: 09/11/2019] [Accepted: 09/21/2019] [Indexed: 01/09/2023]
Abstract
The aim of this paper was to estimate the number of premature deaths, years of potential productive life lost (YPPLL) and labour losses attributable to tobacco smoking due to premature death by gender for the Spanish population. The human capital approach was applied. Employment, gross wage and death data were obtained from the Spanish National Institute of Statistics. Relative risks of death due to cigarette smoking and former smoking were applied. The base case used an annual discount rate of 3% and an annual labour productivity growth rate of 1%. Univariate deterministic sensitivity analysis was performed on discount rates and labour productivity growth rates. Between 2002 and 2016, smoking was estimated to cause around 13,171–13,781 annual deaths in the population under 65 years of age (legal retirement age) in Spain. This increase was mostly due to female deaths. YPPLLs for females have increased over the years, while for males they have fallen markedly. Labour losses associated with smoking mortality ranged from €2269 million in 2002 to €1541 in 2016 (base year 2016). In fact, labour productivity losses have decreased over the years for men (−39.8%) but increased sharply for women (101.6%). The evolution of monetary value of lost productivity due to smoking mortality shows clearly differentiated trends by gender.
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