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Self-Assessed Health and Socioeconomic Inequalities in Serbia: Data from 2013 National Health Survey

机译:塞尔维亚自我评估的健康与社会经济不平等:2013年全国健康调查的数据

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Socioeconomic inequalities—impact on health Health inequities are differences in health status or health determinants between population groups, which are unjust because they reflect an unfair distribution of the underlying social determinants of health (Marmot, 2005 ; World Health Organization, 2013 ; Arcaya et al., 2015 ). This is a global phenomenon, seen in low, middle (Jakovljevic and Getzen, 2016 ) and high income countries (Ogura and Jakovljevic, 2014 ). The largest contribution to inequalities in health is attributable to socio-economic determinants of health, or the societal conditions in which people are born, grow up, live, work, and age, which in turn are determined by wider economic, social, and political conditions (Liu et al., 2002 ). Socialeconomic inequalities are defined as “differences in the prevalence or incidence of health problems between individual people of higher or lower socioeconomic status” (World Health Organization, 2013 ). Commission on Social Determinants of Health of the World Health Organization (WHO) has singled out 10 determinants of health important for injustice in health: social gradient, stress, early life, social exclusion, employment, unemployment, social support, addiction, food, and transport (World Health Organization, 2008 ). Socialeconomic inequalities are usually measured by income, education, and occupation (Mackenbach et al., 2008 ; World Health Organization, 2010 ). Strong associations between health and socioeconomic determinants have been documented in many studies (Mackenbach et al., 2008 ; Kaikkonen et al., 2009 ; Mackenbach, 2012 ). Considerable evidence suggests that lower socioeconomic status are associated with a poor self-perceived health, higher prevalence of chronic diseases (Radovanovi? et al., 2011 ; Lazic et al., 2012 ), and injuries, unhealthy behaviors such as smoking, inadequate diet, alcohol use (Jovanovic and Jakovljevic, 2011 ), and lack of physical exercise (De Looper and Lafortune, 2009 ; Dorjdagva et al., 2015 ). People of lower SES can expect to live less years in good health, have higher rates of mortality and die at younger ages (Mackenbach, 2012 ). Socioeconomic inequalities are measured by various indicators of health such as life expectancy (Jakovljevic et al., 2015c ), incidence of various diseases (Jakovljevic and Milovanovic, 2015 ), mortality, and self-assessment of health (Vukovi? et al., 2012 ). Self-assessment of health is one of the most commonly used health indicators recommended by WHO and European Union Commission (Jankovi? et al., 2012 ). Self-assessed health is a commonly used measure of health status that asks individuals to rate their general health on five-point Likert scale with with five possible answers: very good; good; fair; bad; or very bad. The measure provides a valid and reliable assessment of overall health status, and has been found to be predictive of future health outcomes when used in national population health surveys (Park et al., 2015 ; Jakovljevic et al., 2016c ). Also, it was found that the self-assessment of health is one of the important predictors of mortality, morbidity, functional limitations, and health care use in the population (Burstr?m and Fredlund, 2001 ; Müters et al., 2005 ). Comparative study of 22 European countries indicating that in almost all countries the prevalence of poorer self-assessments of health were significantly higher in groups of lower socioeconomic status (Mackenbach et al., 2008 ). People with lower level of education or income and unemployed persons are more likely to have poor self-assessed health (McFadden et al., 2008 ). Despite the global wealth (Jakovljevic, 2016 ) and application of the best evidence-based interventions, socioeconomic inequalities in health are important, and ongoing public health problem in all European countries (Jakovljevic et al., 2016a ) and a major challenge for the enactment and implementation of health policy (Jakovljevic, 2014 ). In Serbia, as in many countries in transition, socioeconomic inequalities in health have not been sufficiently studied, neither they receive due attention in public health policies (Jakovljevic et al., 2016b ). The data report methods Public data set description—serbian 2013 national health survey Data belonging to the 2013 National Health Survey for Serbia were observed (Results of the National Health Survey of the Republic of Serbia, 2013 ). These data were acquired using a cross-sectional studies on a representative probability sample of adult citizens aged 15 years or more (excluding Kosovo). The survey was conducted in accordance with the methodology and instruments of the European Health Interview Survey wave 2 (EHIS-wave 2). It was implemented by the Ministry of Health of the Republic of Serbia. The sample consisted of all households listed by all enumeration areas of Census 2013. The mechanism used to generate a random sample of households and respondents is a combination of two sampling techniq
机译:社会经济不平等-对健康的影响健康不平等是不同人群之间健康状况或健康决定因素的差异,这是不公正的,因为它们反映了潜在的健康社会决定因素的分布不公平(Marmot,2005;世界卫生组织,2013; Arcaya等人) 。,2015)。这是一种全球现象,在中低收入国家(Jakovljevic和Getzen,2016年)和高收入国家(Ogura和Jakovljevic,2014年)中看到。对健康不平等的最大贡献在于健康的社会经济决定因素,或者人们出生,成长,生活,工作和年龄的社会条件,而社会条件又由更广泛的经济,社会和政治因素决定(Liu et al。,2002)。社会经济不平等被定义为“社会经济地位较高或较低的个人之间健康问题的普遍程度或发生率的差异”(世界卫生组织,2013年)。世界卫生组织(WHO)健康问题社会决定因素委员会挑出了10个健康因素,这些因素对健康中的不公正现象很重要:社会梯度,压力,早年生活,社会排斥,就业,失业,社会支持,成瘾,食物和运输(世界卫生组织,2008年)。社会经济不平等通常由收入,教育程度和职业来衡量(Mackenbach等,2008;世界卫生组织,2010)。健康与社会经济决定因素之间的紧密关联已在许多研究中得到记录(Mackenbach等,2008; Kaikkonen等,2009; Mackenbach,2012)。大量证据表明,较低的社会经济地位与不良的自我感觉健康,较高的慢性病患病率有关(Radovanovi?等,2011; Lazic等,2012),以及伤害,不健康的行为,例如吸烟,饮食不足,饮酒(Jovanovic和Jakovljevic,2011年)以及缺乏体育锻炼(De Looper和Lafortune,2009年; Dorjdagva等人,2015年)。 SES较低的人可以期望健康状况的寿命减少,死亡率更高,并且在年轻时死亡(Mackenbach,2012)。社会经济不平等是通过各种健康指标来衡量的,例如预期寿命(Jakovljevic等,2015c),各种疾病的发生率(Jakovljevic和Milovanovic,2015),死亡率和健康状况的自我评估(Vukovi?等,2012)。 )。健康的自我评估是世界卫生组织和欧盟委员会推荐的最常用的健康指标之一(Jankovi?等,2012)。自我评估的健康状况是一种常用的健康状况衡量标准,它要求个人以五点李克特量表对他们的总体健康状况进行评分,并提供五个可能的答案:非常好;好;公平;坏;或非常糟糕。该措施可对整体健康状况进行有效且可靠的评估,并已发现可用于全国人口健康调查(Park等人,2015; Jakovljevic等人,2016c),对未来的健康结果具有预测作用。此外,还发现健康的自我评估是人口死亡率,发病率,功能限制和医疗保健使用的重要预测指标之一(Burstr?m和Fredlund,2001;Müters等,2005)。对22个欧洲国家的比较研究表明,在几乎所有国家中,社会经济地位较低的群体中,较差的自我健康评估的患病率明显更高(Mackenbach等,2008)。受教育程度或收入较低的人和失业者的自我评估健康状况较差(McFadden等,2008)。尽管全球财富丰富(Jakovljevic,2016年),并且采用了最佳的循证干预措施,但健康方面的社会经济不平等仍然很重要,而且在所有欧洲国家中,持续存在的公共卫生问题(Jakovljevic等人,2016a)也是制定法律的主要挑战以及卫生政策的实施(Jakovljevic,2014年)。与许多转型国家一样,在塞尔维亚,对健康的社会经济不平等问题还没有得到足够的研究,也没有在公共卫生政策中得到应有的重视(Jakovljevic等,2016b)。数据报告方法公共数据集描述-塞尔维亚2013年国家健康调查观察到属于2013年塞尔维亚国家健康调查的数据(塞尔维亚共和国国家健康调查的结果,2013年)。这些数据是通过对15岁以上(不包括科索沃)的成年公民的代表性概率样本进行的横断面研究而获得的。该调查是根据欧洲健康访谈调查第二波(EHIS第二波)的方法和工具进行的。它是由塞尔维亚共和国卫生部实施的。样本包括2013年人口普查所有枚举区域中列出的所有住户。用于生成住户和受访者随机样本的机制是两种采样技术的组合

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