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Liu X, Zhang X, Ruan G, Zheng X, Chen Y, Zhang X, Liu T, Ge Y, Shi H. Relationship between educational level and survival of patients with cancer: A multicentre cohort study. Cancer Med 2024; 13:e7141. [PMID: 38545856 PMCID: PMC10974719 DOI: 10.1002/cam4.7141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 03/13/2024] [Accepted: 03/17/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Although socioeconomic factors are important determinants of population mortality, the effect of educational level on the survival of patients with cancer in China is unclear. This study aimed to assess whether educational level is associated with the prognosis of patients with cancer and to explore the mediators of this association. METHODS This multicentre cohort study included 18,251 patients diagnosed with cancer between May 2013 and December 2018. The main parameters measured were overall survival (OS) and all-cause mortality. The relationship between educational level and all-cause mortality was assessed using multifactor-corrected Cox survival analysis. Logistic regression was used to analyze the association between educational level and patient-generated subjective global assessment (PG-SGA). RESULTS The mean age of the 18,251 participants (men, 9939 [54.4%]) was 57.37 ± 11.66 years. Multifactorial survival analysis showed that patients survived longer with increasing education (university and above vs. elementary school and below; p = p = <0.001, HR = 0.84, 95% CI: 0.77-0.92), and the differences were statistically significant in different subgroups. The potential impact factors included sex, age, TNM stage, and PG-SGA score. Logistic regression showed a significant negative association between educational level and the modifiable factor PG-SGA (secondary vs. primary and below; p = 0.004, HR = 0.90, 95% CI: 0.83-0.97; university and above vs. primary and below; p < 0.001, HR = 0.79, 95% CI: 0.71-0.88). CONCLUSIONS Educational level was a significant prognostic factor for patients with cancer, independent of other known prognostic factors. This association was further improved by modifying the nutritional status.
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Affiliation(s)
- Xiao‐Yue Liu
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Xi Zhang
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Guo‐Tian Ruan
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Xin Zheng
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Yue Chen
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Xiao‐Wei Zhang
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Tong Liu
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Yi‐Zhong Ge
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Han‐Ping Shi
- Department of Gastrointestinal SurgeryBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric DiseasesXuanwu Hospital, Capital Medical UniversityBeijingChina
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Demonceau C, Buckinx F, Reginster JY, Bruyère O. Assessment of risk factors associated with long-term mortality in nursing homes: result from the SENIOR cohort. Aging Clin Exp Res 2023; 35:2997-3005. [PMID: 37917376 DOI: 10.1007/s40520-023-02579-5] [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: 07/11/2023] [Accepted: 09/24/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Previous studies on risk factors for death in nursing homes have focused on short-term observation and limited number risk factors. AIMS This study aims to identify factors predictive of 8-year survival in nursing homes. METHODS The study used the baseline measurements from the SENIOR cohort collected in 2013-2014. Data included clinical assessments (i.e., body composition, nutritional status, physical performance, level of dependence and cognition, frailty phenotype) as well as demographic information, number of medications and medical history. Mortality data were collected annually for 8 years. Univariate analyses were initially performed to assess potential predictive factors, followed by a Cox regression model using stepwise selection. RESULTS Of the 662 participants enrolled in the cohort, 58 (8.8%) were not further assessed due to the withdrawal of 2 nursing homes and 71 (10.7%) had no mortality data available (i.e., relocation, refusal to continue the study). Among the 533 patients included, 111 (20.8%) were still alive in 2022. Median survival time was 4 years (1.93-6.94). Multivariate regression showed that younger age (HR = 1.04 (1.03-1.06)), higher body mass index (HR = 0.96 (0.94-0.98)), higher score on the Mini-Mental State-Examination (HR = 0.97 (0.94-0.99)) and higher score on the Short Physical Performance Battery (HR = 0.93 (0.90-0.97)) were protective factors against mortality. CONCLUSIONS This study highlights that certain modifiable factors related to physical or mental health contribute to increased survival in nursing homes. Because of its ability to improve physical performance and partly cognitive function, promoting physical activity in nursing homes appears to be a public health priority.
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Affiliation(s)
- Céline Demonceau
- WHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium.
| | - Fanny Buckinx
- WHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium
| | - Jean-Yves Reginster
- WHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium
| | - Olivier Bruyère
- WHO Collaborating Center for Epidemiologic Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Avenue Hippocrate 13, CHU Bât B23, 4000, Liège, Belgium
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Lu J, Wu C, Zhang X, Yang Y, Cui J, Xu W, Song L, Yang H, He W, Zhang Y, Li J, Li X. Educational inequalities in mortality and their mediators among generations across four decades: nationwide, population based, prospective cohort study based on the ChinaHEART project. BMJ 2023; 382:e073749. [PMID: 37468160 PMCID: PMC10354660 DOI: 10.1136/bmj-2022-073749] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
OBJECTIVES To assess the different educational inequalities in mortality among generations born between 1940 and 1979 in China, and to investigate the role of socioeconomic, behavioural, and metabolic factors as potential contributors to the reduction of educational inequalities. DESIGN Nationwide, population based, prospective cohort study. SETTING The ChinaHEART (China Health Evaluation And risk Reduction through nationwide Teamwork) project in all 31 provinces in the mainland of China. PARTICIPANTS 1 283 774 residents aged 35-75 years, divided into four separate cohorts born in 1940s, 1950s, 1960s, and 1970s. MAIN OUTCOME MEASURES Relative index of inequality and all cause mortality. RESULTS During a median follow-up of 3.5 years (interquartile range 2.1-4.7), 22 552 deaths were recorded. Among the four generations, lower education levels were found to be associated with a higher risk of all cause death: Compared with participants with college level education or above, the hazard ratio for people with primary school education and below was 1.4 (95% confidence interval 1.2 to 1.7) in the 1940s cohort, 1.8 (1.5 to 2.1) in the 1950s cohort, 2.0 (1.7 to 2.4) in the 1960s cohort, and 1.8 (1.4 to 2.4) in the 1970s cohort. Educational relative index of inequality in mortality increased from 2.1 (95% confidence interval 1.9 to 2.3) in the 1940s cohort to 2.6 (2.1 to 3.3) in the 1970s cohort. Overall, the mediation proportions were 37.5% (95% confidence interval 32.6% to 42.8%) for socioeconomic factors, 13.9% (12.0% to 16.0%) for behavioural factors, and 4.7% (3.7% to 5.8%) for metabolic factors. Except for socioeconomic measurements, the mediating effects by behavioural and metabolic factors decreased in younger generations. CONCLUSION Educational inequalities in mortality increased over generations in China. Improving healthy lifestyles and metabolic risk control for less educated people, especially for younger generations, is essential to reduce health inequalities.
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Affiliation(s)
- Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Chaoqun Wu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xiaoyan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Hao Yang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Wenyan He
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yan Zhang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Jing Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
- Shenzhen Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China
- Central China Subcenter of the National Center for Cardiovascular Diseases, Zhengzhou, China
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Yu S, Guo X, Li G, Yang H, Zheng L, Sun Y. Low educational status correlates with a high incidence of mortality among hypertensive subjects from Northeast Rural China. Front Public Health 2022; 10:951930. [PMID: 36091501 PMCID: PMC9453591 DOI: 10.3389/fpubh.2022.951930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/08/2022] [Indexed: 01/24/2023] Open
Abstract
Objective Cumulative evidence indicates that education plays a major role in predicting cardiovascular risk factors. In this study, we intend to examine the possible relationship between education status and mortality in a large general subject from rural China. Methods Adult hypertensive subjects (n = 5,227, age = 57.22 ± 10.18 years; 49.1% men) were recruited from general population surveys (Northeast China Rural Cardiovascular Health Study). Their educational status was categorized into two groups as follows: (1) Low education (illiterate or lower than primary school) and (2) medium-high education (higher than primary school). Cardiometabolic comorbidities, related cardiovascular risk factors, and echocardiographic measurements were analyzed in both groups. Results Less educated hypertensive subjects had significantly higher prevalence of obesity, diabetes, dyslipidemia, and left ventricular hypertrophy than medium-high educated hypertensive subjects. In the medium-high educated subjects, a significant increase in left ventricular ejection fraction and lower rate of antihypertensive medication was found. Cox proportional hazards analysis indicated that medium-high education was independently associated with all-cause mortality (hazard ratio = 0.76; 95% confidence interval, 0.58, 0.99; P = 0.043) and cardiovascular mortality (hazard ratio = 0.65; 95% confidence interval, 0.44, 0.96; P = 0.028). Conclusion Education may act as the best predictor of all-cause and cardiovascular mortality in rural hypertensive subjects. This finding suggests that in rural areas, education is likely to represent a cardiovascular specific risk factor and should be evaluated in the strategies of hypertension.
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Affiliation(s)
- Shasha Yu
- Department of Cardiology, First Hospital of China Medical University, Shenyang, China
| | - Xiaofan Guo
- Department of Cardiology, First Hospital of China Medical University, Shenyang, China
| | - GuangXiao Li
- Department of Clinical Epidemiology, Institute of Cardiovascular Diseases, First Hospital of China Medical University, Shenyang, China
| | - Hongmei Yang
- Department of Cardiology, First Hospital of China Medical University, Shenyang, China
| | - Liqiang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yingxian Sun
- Department of Cardiology, First Hospital of China Medical University, Shenyang, China,*Correspondence: Yingxian Sun
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Manthey J, Jasilionis D, Jiang H, Meščeriakova-Veliulienė O, Petkevičienė J, Radišauskas R, Rehm J, Štelemėkas M. Interrupted time series analyses to assess the impact of alcohol control policy on socioeconomic inequalities in mortality in Lithuania: a study protocol. BMJ Open 2021; 11:e053497. [PMID: 34873010 PMCID: PMC8650476 DOI: 10.1136/bmjopen-2021-053497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 10/14/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Alcohol use is a major risk factor for mortality. Previous studies suggest that the alcohol-attributable mortality burden is higher in lower socioeconomic strata. This project will test the hypothesis that the 2017 increase of alcohol excise taxes linked to lower all-cause mortality rates in previous analyses will reduce socioeconomic mortality inequalities. METHODS AND ANALYSIS Data on all causes of deaths will be obtained from Statistics Lithuania. Record linkage will be implemented using personal identifiers combining data from (1) the 2011 whole-population census, (2) death records between 1 March 2011 (census date) and 31 December 2019, and (3) emigration records, for individuals aged 40-70 years. The analyses will be performed separately for all-cause and for alcohol-attributable deaths. Monthly age-standardised mortality rates will be calculated by sex, education and three measures of socioeconomic status (SES). Inequalities in mortality will be assessed using absolute and relative indicators between low and high SES groups. We will perform interrupted time series analyses, and test the impact of the 2017 rise in alcohol excise taxation using generalised additive mixed models. In these models, we will control for secular trends for economic development. ETHICS AND DISSEMINATION This work is part of project grant 1R01AA028224-01 by the National Institute on Alcohol Abuse and Alcoholism. It has been granted research ethics approval 050/2020 by Centre for Addiction and Mental Health Research Ethics Board on 17 April 2020, renewed on 30 March 2021. The time series of mortality inequalities as well as the statistical code will be made publicly available, allowing other researchers to adapt the proposed method to other jurisdictions.
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Affiliation(s)
- Jakob Manthey
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Center for Interdisciplinary Addiction Research (ZIS), Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
- Department of Psychiatry, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Domantas Jasilionis
- Laboratory of Demographic Data, Max- Planck- Institute for Demographic Research, Rostock, Germany
- Demographic Research Centre, University of Leipzig, Vytautas Magnus University, Kaunas, Lithuania
| | - Huan Jiang
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Dalla Lana School of Public Health and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Olga Meščeriakova-Veliulienė
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Janina Petkevičienė
- Health Research Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania
- Department of Preventive Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ričardas Radišauskas
- Department of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Jürgen Rehm
- Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Center for Interdisciplinary Addiction Research (ZIS), Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Dalla Lana School of Public Health and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of International Health Projects, Institute for Leadership and Health Management, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | - Mindaugas Štelemėkas
- Health Research Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania
- Department of Preventive Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania
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Mesceriakova-Veliuliene O, Kalediene R, Sauliune S, Urbonas G. Amenable mortality inequalities and their changes by place of residence during 1990-2019: the case of Lithuania. Public Health 2021; 200:99-105. [PMID: 34715532 DOI: 10.1016/j.puhe.2021.09.022] [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: 03/27/2021] [Revised: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The aim of this study was to analyze inequalities of amenable mortality by place of residence and its changes in Lithuania during 1990-2019. STUDY DESIGN A record-linked cohort study. METHODS Information on deaths was obtained from Statistics Lithuania and the Institute of Hygiene. Mortality rates from amenable causes of death by urban and rural among men and women were calculated per 100,000 population and were standardized by age. Inequalities in mortality were assessed using rate differences. For the assessment of the trends of mortality and its inequalities during 1990-2019, joinpoint regression analysis was applied. RESULTS During 1990-2019, amenable mortality of men and women in rural areas was higher compared to urban areas (P < 0.05). Changes in men's and women's mortality and its inequalities between rural and urban areas were characterized by three cut-off points (P < 0.05). However, not all the periods between the cut-off points were characterized by statistically significant changes in mortality. A reduction in amenable mortality was more evident in women, especially those living in rural areas. During 1990-2004 and in 2006, the differences in amenable mortality were greater among rural and urban women than among men. However, during 2013-2019, the differences were smaller (P < 0.05). Inequalities of men's mortality decreased during 1990-2001 and 2005-2012, and inequalities of women's mortality decreased during 1993-2006, 2006-2017, and 2017-2019 (P < 0.05). Inequalities of men's mortality decreased most rapidly during 2005-2012 (on average, by 10.24% per year), while inequalities of women's mortality decreased most rapidly during 2017-2019 (on average by 18.32% per year) (P < 0.05). CONCLUSION During 1990-2019, inequalities and a decline of inequalities in amenable mortality among rural and urban men and women were identified in Lithuania. The amenable mortality of the residents of Lithuania remained high, changed unevenly, and no significant sharp decrease was observed. Further reduction of inequalities in amenable mortality between rural and urban inhabitants with a special focus on men remain the health policy challenges in Lithuania.
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Affiliation(s)
- O Mesceriakova-Veliuliene
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
| | - R Kalediene
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
| | - S Sauliune
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
| | - G Urbonas
- Department of Bioethics, Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
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Mesceriakova-Veliuliene O, Kalediene R. Changes in Mortality Inequalities in Urban and Rural Populations during 1990-2018: Lithuanian Experience. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:750. [PMID: 34440956 PMCID: PMC8398674 DOI: 10.3390/medicina57080750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/22/2021] [Accepted: 07/22/2021] [Indexed: 11/17/2022]
Abstract
Background and Objectives: Reduction in health inequalities is a highly important task in public health policies worldwide. In Lithuania, inequalities in mortality by place of residence are among the greatest, compared to other European Union (EU) countries. However, studies on inequalities in mortality by place of residence over a long-term period have not been investigated in Lithuania. The aim of this study was to present changes in mortality inequalities in urban and rural populations during 1990-2018. Materials and Methods: Mortality rates from all causes, cardiovascular diseases, cancer, external causes, and gastrointestinal diseases in urban and rural population by sex were calculated per 100,000 populations and were standardized by age. Inequalities in mortality were assessed using rate differences and rate ratio. For the assessment of inequality trends during 1990-2018, the joinpoint regression analysis was applied. Results: Mortality between urban and rural populations varied. In rural areas, mortality lower than that in urban areas was observed only in 1990 among women, in case of mortality from cancer and gastrointestinal diseases (compared with in 2018) (p < 0.05). In 2018, mortality from all causes, cardiovascular diseases, and external causes in urban and rural areas was lower than in 1990 in both sexes. However, mortality from gastrointestinal diseases was higher (p < 0.05). In 2018, mortality from cancer among both sexes was lower only in urban areas (p < 0.05). Mortality inequalities between rural and urban areas decreased statistically significantly only among men from external causes and from all causes (respectively, on average, by 0.52% per year and, on average, by 0.21% per year). Meanwhile, mortality from cardiovascular and gastrointestinal diseases increased in both sexes, and mortality from cancer and all causes of death increased among women. The increase in the inequalities of mortality from gastrointestinal diseases was the most rapid: among men-on average, by 0.69% per year, and among women-on average, by 1.43% per year, p < 0.0001. Conclusions: During 1990-2018, the inequalities in mortality by place of residence in Lithuania statistically significantly decreased only among men, in terms of mortality from external causes and from all causes. Therefore, reduction in inequalities in mortality must be the main the health policy challenge in Lithuania.
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Affiliation(s)
- Olga Mesceriakova-Veliuliene
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, Lithuania;
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Mesceriakova-Veliuliene O, Kalediene R, Sauliune S, Urbonas G. Inequalities in Life Expectancy by Education and Its Changes in Lithuania during 2001-2014. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:245. [PMID: 33807886 PMCID: PMC8001735 DOI: 10.3390/medicina57030245] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/17/2021] [Accepted: 03/01/2021] [Indexed: 11/16/2022]
Abstract
Background and Objectives: Reduction of health inequalities is a highly important task in public health policies worldwide. In Lithuania, inequalities in life expectancy (LE) by education level are among the greatest, compared to other European countries. However, studies on inequalities in LE by level of education over a long-term period are quite scarce in Lithuania. The aim of the study was to analyze inequalities in life expectancy by education and its changes in Lithuania during 2001-2014. Materials and Methods: Information on deaths (in population aged ≥30 years) was obtained from Statistics Lithuania. Life expectancy at age 30 (LE30) and 95% confidence intervals (CIs) were calculated using life tables. Inequalities in LE30 were assessed using rate differences. Joinpoint regression analysis was used to assess the trends and inequalities of LE30 during 2001-2014. Results: During 2001-2014, LE30 in males and females with post-secondary education was higher than in those with up-to-secondary education (p < 0.05). Among males and females, LE30 increased in both education groups, except for males with up-to-secondary education. Among individuals with post-secondary education, LE30 started increasing earlier and more quickly than in those with up-to-secondary education. Over the analyzed period, greater differences in LE30 between post-secondary and up-to-secondary education groups were found among males. Differences in LE30 due to different educational background were statistically significantly, increasing across the sexes with a more rapid increase for females than for males. During 2001 and 2014, the highest number of years of LE30 lost in both education groups was due to cardiovascular diseases. Conclusions: Throughout the period of 2001-2014, life expectancy in Lithuania in the post-secondary education group was statistically significantly longer and was increasing more rapidly compared to the up-to secondary education group. Inequalities in life expectancy by level of education significantly increased among both males and females.
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Affiliation(s)
- Olga Mesceriakova-Veliuliene
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, Lithuania; (R.K.); (S.S.)
| | - Ramune Kalediene
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, Lithuania; (R.K.); (S.S.)
| | - Skirmante Sauliune
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, Lithuania; (R.K.); (S.S.)
| | - Gvidas Urbonas
- Department of Bioethics, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės St. 18, LT-47181 Kaunas, Lithuania;
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Oliva-Arocas A, Pereyra-Zamora P, Copete JM, Vergara-Hernández C, Martínez-Beneito MA, Nolasco A. Socioeconomic Inequalities in Mortality among Foreign-Born and Spanish-Born in Small Areas in Cities of the Mediterranean Coast in Spain, 2009-2015. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E4672. [PMID: 32610538 PMCID: PMC7370214 DOI: 10.3390/ijerph17134672] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/14/2020] [Accepted: 06/19/2020] [Indexed: 12/28/2022]
Abstract
Many studies have analysed socioeconomic inequalities and its association with mortality in urban areas. However, few of them have differentiated between native and immigrant populations. This study is an ecological study of mortality by overall mortality and analyses the inequalities in mortality in these populations according to the level of deprivation in small areas of large cities in the Valencian Community, from 2009 to 2015. The census tract was classified into five deprivation levels using an index based on socioeconomic indicators from the 2011 census. Rates and relative risks of death were calculated by sex, age, level of deprivation and country of birth. Poisson regression models have been used. In general, there was a higher risk of death in natives at the levels of greatest deprivation, which did not happen in immigrants. During the 2009-2015 period, there were socioeconomic inequalities in mortality, particularly in natives, who presented a higher risk of death than immigrants. Future interventions and social policies should be implemented in order to reduce inequalities in mortality amongst socioeconomic levels and to maintain the advantage that the immigrant population enjoys.
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Affiliation(s)
- Adriana Oliva-Arocas
- Research Unit for the Analysis of Mortality and Health Statistics, Department of Community Nursing, Preventive Medicine, Public Health and History of Science, University of Alicante, 03080 Alicante, Spain; (A.O.-A.); (J.M.C.); (A.N.)
| | - Pamela Pereyra-Zamora
- Research Unit for the Analysis of Mortality and Health Statistics, Department of Community Nursing, Preventive Medicine, Public Health and History of Science, University of Alicante, 03080 Alicante, Spain; (A.O.-A.); (J.M.C.); (A.N.)
| | - José M. Copete
- Research Unit for the Analysis of Mortality and Health Statistics, Department of Community Nursing, Preventive Medicine, Public Health and History of Science, University of Alicante, 03080 Alicante, Spain; (A.O.-A.); (J.M.C.); (A.N.)
| | - Carlos Vergara-Hernández
- Área de Desigualdades en Salud, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), 46035 Valencia, Spain;
| | | | - Andreu Nolasco
- Research Unit for the Analysis of Mortality and Health Statistics, Department of Community Nursing, Preventive Medicine, Public Health and History of Science, University of Alicante, 03080 Alicante, Spain; (A.O.-A.); (J.M.C.); (A.N.)
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