ABSTRACT
Gender inequalities in biomedical literature have been widely reported in authorship as well as the scarcity of results that are stratified by sex in the studies. We conducted a bibliometric review of articles on COVID-19 published in the main Spanish medical journals between April 2020 and May 2021. The purpose of this study was to analyse differences in authorship order and composition by sex and their evolution over time, as well as the frequency of sex-disaggregated empirical results and its relationship with the author sex in articles on COVID-19 in the main Spanish biomedical journals. We identified 914 articles and 4921 authors, 57.5% men and 42.5% women. Women accounted for 36.7% of first authors and for 33.7% of last authors. Monthly variation in authorship over the course of the pandemic indicates that women were always less likely to publish as first authors. Only 1.0% of the articles broke down empirical results by sex. Disaggregation of results by sex was significantly more frequent when women were first authors and when women were the majority in the authorship. It is important to make gender inequalities visible in scientific dissemination and to promote gender-sensitive research, which can help to reduce gender bias in clinical studies as well as to design public policies for post-pandemic recovery that are more gender-equitable.
Subject(s)
Authorship , COVID-19 , Humans , Male , Female , Spain/epidemiology , Gender Equity , Sexism , COVID-19/epidemiologyABSTRACT
Objetivo: Analizar la relación entre la precariedad laboral, medida por dimensiones y como índice multidimensional, y la salud mental de los hombres y mujeres asalariados/as en el País Vasco. Método: Se utilizó una submuestra (n = 3345) de la Encuesta de Salud de la Comunidad Autónoma Vasca de 2018 para calcular la prevalencia estandarizada de mala salud mental según el grado de precariedad laboral, medida como escala compuesta y por cada una de sus dimensiones, y realizar modelos de regresión de Poisson robusto para analizar la asociación entre la precariedad laboral, también compuesta y por dimensiones, y la salud mental de la población asalariada. Resultados: La precariedad laboral se asocia significativamente con mala salud mental en hombres (razón de prevalencia [RP]: 3,51; intervalo de confianza del 95% [IC95%]: 2,05-6,01) y en mujeres (RP: 3,42; IC95%: 2,35-4,97). Asimismo, algunas de sus dimensiones constitutivas, como el nivel salarial en ambos sexos (RP: 2,58, IC95%: 1,65-4,03, y RP: 2,29, IC95%: 1,58-3,32, respectivamente) o la vulnerabilidad entre las mujeres (RP: 2,55; IC95%: 1,80-3,61), también parecen relacionarse de manera significativa e independiente con un peor estado de salud mental. Conclusiones: Es necesario el abordaje de la precariedad laboral desde una perspectiva multidimensional, así como conocer la importancia relativa de cada una de las dimensiones que la componen, tanto para la investigación de sus efectos en la salud como para las intervenciones políticas destinadas a luchar contra este fenómeno. (AU)
Objective: To analyse the relationship between precarious employment, measured by dimensions and as a multidimensional index, on the mental health of salaried men and women in the Basque Country (Spain). Method: A subsample (n = 3345) of the 2018 Basque Autonomous Community Health Survey was used to calculate the standardised prevalence of poor mental health according to the degree of precarious employment, measured as a composite scale and by each of its dimensions, and to perform robust Poisson regression models to analyse the association between precarious employment, also composite and by dimensions, and the mental health of the salaried population. Results: Precarious employment is significantly associated with poor mental health among men (prevalence ratio [PR]: 3.51; 95% confidence interval [95%CI]: 2.056.01) and women (PR: 3.42; 95%CI: 2.354.97). Additionally, some of its constituent dimensions, such as wage level among both sexes (PR: 2.58, 95%CI: 1.654.03, and PR: 2.29, 95%CI: 1.583.32) or vulnerability among women (PR: 2.55; 95%CI: 1.803.61), also appear to be significantly and independently related to poorer mental health status. Conclusions: It is necessary to approach precarious employment from a multidimensional perspective, and to know the relative importance of each of its dimensions, both for research into its effects on health and for policy interventions directed at combating this phenomenon. (AU)
Subject(s)
Humans , Male , Female , Young Adult , Adult , Middle Aged , Mental Health , 16054 , Employment/psychology , Employment/economics , Occupational Health , Surveys and QuestionnairesABSTRACT
The COVID-19 pandemic has shown its syndemic nature where the contagion by coronavirus joins the high prevalence of chronic diseases in a context of great social inequality and a clear gradient of those pathologies. The objectives of this article are: 1) to show a conceptual framework of the determinants of social inequality in the COVID-19; 2) to review the available literature on socioeconomic inequalities in various aspects related to COVID-19 in Spain; and 3) propose recommendations to monitor, intervene with policies and communication guides to reduce social inequalities in COVID-19, showing examples developed in Spain. The conceptual framework includes structural and intermediate determinants reflecting the different axes of inequality that characterize the syndemic nature of COVID-19. The literature review published up to July 2021 in Spain describes a socioeconomic gradient of COVID-19, not always consistent among studies, as well as an uneven impact of many measures to control the pandemic. Finally, the proposals for reducing social inequalities in COVID-19 include: 1) to guarantee information systems and research with an equity perspective; 2) to reduce inequalities in COVID-19 through its intermediate, and economic and political determinants; and 3) to design communication models and understanding frameworks that break with hegemonies that hide the relevance of social inequality in the pandemic. Given the syndemic nature of COVID-19 and accumulated knowledge, surveillance systems, interventions and communication must include a clear perspective of health equity.
Subject(s)
COVID-19 , Health Status Disparities , Social Determinants of Health , COVID-19/epidemiology , Humans , Pandemics , Socioeconomic Factors , Spain/epidemiologyABSTRACT
Objetivo: Analizar la desagregación por sexo y la disponibilidad de indicadores de género en los informes de la Red Nacional de Vigilancia Epidemiológica (RENAVE) y el Estudio Nacional de Sero-Epidemiología (ENE-COVID-19). Método: Revisión por pares de los indicadores disponibles en 72 informes de la RENAVE y cuatro rondas del estudio ENE-COVID-19 para calcular el porcentaje de los desagregados por sexo y su variación temporal. Resultados: En marzo de 2021, el 52,4% de los indicadores RENAVE estaban desagregados por sexo. Desde julio de 2020, el 54% de los indicadores desagregados dejaron de publicarse y el 23% perdieron su desagregación. En el estudio ENE-COVID-19, la primera ronda incorporó el 88,23% de los indicadores desagregados y la 4ª el 94,74%. La 2ª y 3ª no desagregan por sexo. Conclusiones: Los informes RENAVE no permiten un análisis con perspectiva de género, y el estudio ENE-COVID-19 es el que más información aporta sobre determinantes sociales. (AU)
Objective: To analyse the sex disaggregation and availability of gender indicators in the reports of the National Epidemiological Surveillance Network (RENAVE) and the National Study of Sero-Epidemiology (ENE-COVID-19). Method: Peer review of indicators available in 72 RENAVE reports and 4 rounds of the ENE-COVID-19 study to calculate the percentage of those disaggregated by sex and their variation over time. Results: In March 2021, 52.4% of RENAVE indicators were disaggregated by sex. From July 2020, 54% of disaggregated indicators ceased to be published and 23% lost their disaggregation. In the ENE-COVID-19 study, the 1st round 88,23% of the indicators are disaggregated and the 4th round 94,74%. The 2nd and 3rd round do not disaggregated by sex. Conclusions: The RENAVE reports do not allow for a gender-sensitive analysis while the ENE-COVID-19 study provides the most information on social determinants. (AU)
Subject(s)
Humans , Pandemics , Coronavirus Infections/epidemiology , Gender Perspective , Spain , 34628 , Social Determinants of HealthABSTRACT
OBJECTIVE: To analyse the relationship between precarious employment, measured by dimensions and as a multidimensional index, on the mental health of salaried men and women in the Basque Country (Spain). METHOD: A subsample (n=3345) of the 2018 Basque Autonomous Community Health Survey was used to calculate the standardised prevalence of poor mental health according to the degree of precarious employment, measured as a composite scale and by each of its dimensions, and to perform robust Poisson regression models to analyse the association between precarious employment, also composite and by dimensions, and the mental health of the salaried population. RESULTS: Precarious employment is significantly associated with poor mental health among men (prevalence ratio [PR]: 3.51; 95% confidence interval [95%CI]: 2.05-6.01) and women (PR: 3.42; 95%CI: 2.35-4.97). Additionally, some of its constituent dimensions, such as wage level among both sexes (PR: 2.58, 95%CI: 1.65-4.03, and PR: 2.29, 95%CI: 1.58-3.32) or vulnerability among women (PR: 2.55; 95%CI: 1.80-3.61), also appear to be significantly and independently related to poorer mental health status. CONCLUSIONS: It is necessary to approach precarious employment from a multidimensional perspective, and to know the relative importance of each of its dimensions, both for research into its effects on health and for policy interventions directed at combating this phenomenon.
Subject(s)
Health Status , Mental Health , Employment , Female , Humans , Male , Salaries and Fringe Benefits , Surveys and QuestionnairesABSTRACT
There has been substantial progress in the development of regenerative medicine strategies for CNS disorders over the last decade, with progression to early clinical studies for some conditions. However, there are multiple challenges along the translational pipeline, many of which are common across diseases and pertinent to multiple donor cell types. These include defining the point at which the preclinical data are sufficiently compelling to permit progression to the first clinical studies; scaling-up, characterization, quality control and validation of the cell product; design, validation and approval of the surgical device; and operative procedures for safe and effective delivery of cell product to the brain. Furthermore, clinical trials that incorporate principles of efficient design and disease-specific outcomes are urgently needed (particularly for those undertaken in rare diseases, where relatively small cohorts are an additional limiting factor), and all processes must be adaptable in a dynamic regulatory environment. Here we set out the challenges associated with the clinical translation of cell therapy, using Huntington's disease as a specific example, and suggest potential strategies to address these challenges. Huntington's disease presents a clear unmet need, but, importantly, it is an autosomal dominant condition with a readily available gene test, full genetic penetrance and a wide range of associated animal models, which together mean that it is a powerful condition in which to develop principles and test experimental therapeutics. We propose that solving these challenges in Huntington's disease would provide a road map for many other neurological conditions. This white paper represents a consensus opinion emerging from a series of meetings of the international translational platforms Stem Cells for Huntington's Disease and the European Huntington's Disease Network Advanced Therapies Working Group, established to identify the challenges of cell therapy, share experience, develop guidance and highlight future directions, with the aim to expedite progress towards therapies for clinical benefit in Huntington's disease.
Subject(s)
Huntington Disease , Neurodegenerative Diseases , Animals , Brain/metabolism , Cell- and Tissue-Based Therapy , Humans , Huntington Disease/genetics , Huntington Disease/metabolism , Huntington Disease/therapy , Neurodegenerative Diseases/metabolism , Neurodegenerative Diseases/therapyABSTRACT
Economic recessions can increase socioeconomic inequalities in health. The objective of this study was to analyze socioeconomic inequalities in small-for-gestational-age (SGA) births before and during the Spanish economic crisis. We conducted an ecological study of trends based on 2 periods before the crisis (1999-2003 and 2004-2008) and another during the crisis (2009-2013). The study population was Spanish women resident in 13 cities who had given birth during 1999-2013. The prevalence of SGA was calculated for each census tract. A hierarchical Bayesian model was used to obtain the prevalence ratio (PR) and 95% credible intervals (CI). We analyzed the association between SGA and socioeconomic deprivation in each period for each city and for 3 age groups. The PR was above 1 and statistically significant for all 3 time periods in most of the 13 cities. The differences in PR between periods were only statistically significant for Madrid (PR = 1.56, 95% CI 1.48-1.65 for 1999-2003; PR = 1.28, 95% CI 1.19-1.38 for 2004-2008) and Barcelona (PR = 0.99, 95% CI 0.87-1.12 for 2004-2008; PR = 1.20, 95% CI 1.05-1.36 for 2009-2013). Socioeconomic inequalities in SGA births in small areas (census tracts) of most Spanish cities studied remained stable before and during the economic crisis.
Subject(s)
Economic Recession , Bayes Theorem , Cities , Female , Humans , Socioeconomic Factors , Spain/epidemiologyABSTRACT
OBJECTIVE: To analyse the sex disaggregation and availability of gender indicators in the reports of the National Epidemiological Surveillance Network (RENAVE) and the National Study of Sero-Epidemiology (ENE-COVID-19). METHOD: Peer review of indicators available in 72 RENAVE reports and 4 rounds of the ENE-COVID-19 study to calculate the percentage of those disaggregated by sex and their variation over time. RESULTS: In March 2021, 52.4% of RENAVE indicators were disaggregated by sex. From July 2020, 54% of disaggregated indicators ceased to be published and 23% lost their disaggregation. In the ENE-COVID-19 study, the 1st round 88,23% of the indicators are disaggregated and the 4th round 94,74%. The 2nd and 3rd round do not disaggregated by sex. CONCLUSIONS: The RENAVE reports do not allow for a gender-sensitive analysis while the ENE-COVID-19 study provides the most information on social determinants.
Subject(s)
COVID-19 , COVID-19/epidemiology , Humans , Research Report , Spain/epidemiologyABSTRACT
OBJECTIVE: Highlighting gender inequalities during the pandemic and its relationship with other axes of social inequality will be decisive for its adequate monitoring. The aim of this study was to assess the differences between men and women in the main measures of infection and mortality by COVID-19, considering its temporal evolution, raising awareness about the weaknesses and contradictions between sources of information. METHODS: Cross-sectional analysis based on the microdata on COVID cases notified by the National Epidemiological Surveillance Network (RENAVE), the Death Statistics of the National Statistical Institute (INE) and the estimates of excess mortality from the INE and the Daily Mortality Monitoring System (MoMo) microdata. Standardized rates, prevalences and and ratios by sex were calculated for each indicator. The percentage of excess mortality without COVID-19 diagnosis in each sex was calculated. Male/female ratios for symptoms and risk factors of COVID-19 were also calculated. RESULTS: The rate of infection by COVID-19 was higher in women in the three waves of the pandemic, reaching 65% of infections during April and May 2020. Complications were between 1.5 and 2.5 times higher in men, especially in ICU admissions, which were 2.5 times more frequent than in women. Although mortality rates and excess mortality were also higher in men (around 1.8 times), the percentage of excess mortality without COVID-19 diagnosis was higher in women (44% in men vs. 52% in women the first wave). With regard to the symptoms of COVID-19, fever, cough, and dyspnoea were more frequent in men (20%, 10% and 19% more, respectively) compared to sore throat, vomiting or diarrhea that were more prevalent in women (90%, 40% and 10% more, respectively). CONCLUSIONS: The analysis disaggregated by sex has made it possible to identify differences between men and women in the diagnosis, presentation and severity of the COVID-19 that can help a better clinical and epidemiological approach to the disease. However, official sources present important gaps when presenting information disaggregated by sex. It is therefore necessary to advance in the inclusion of a gender perspective in the statistics on COVID-19, starting with a necessary but not sufficient condition such as the disaggregation by sex of the data.
OBJETIVO: Visibilizar las desigualdades de género durante la pandemia y su relación con otros ejes de desigualdad social resultará decisivo para su adecuada monitorización. El objetivo de este estudio fue analizar las diferencias entre hombres y mujeres en las principales medidas de contagio, complicaciones y mortalidad por la COVID-19 teniendo en cuenta la evolución temporal de las mismas a lo largo de la pandemia en el estado español, visibilizando las aportaciones y carencias entre fuentes de información. METODOS: Análisis transversal en base a los casos COVID notificados por la Red Nacional de Vigilancia Epidemiológica (RENAVE); las estimaciones de mortalidad del Instituto Nacional de Estadística (INE) y las estimaciones de exceso de mortalidad del INE y los microdatos del Sistema de Monitorización de la Mortalidad diaria (MoMo). Se calcularon tasas, prevalencias y ratios por sexo de cada indicador. Se calculó el porcentaje de exceso de mortalidad sin diagnóstico COVID-19 en cada sexo. Se calcularon, así mismo, las ratios hombres/mujeres para los síntomas y factores de riesgo de la COVID-19 recogidos. RESULTADOS: La tasa de infección por la COVID-19 fue superior en mujeres en las tres olas de la pandemia, llegando a constituir un 65% de las infecciones durante abril y mayo de 2020. Las complicaciones por coronavirus fueron entre 1,5 y 2,5 veces mayores en hombres de manera constante especialmente en las admisiones en UCI que llegaron a ser 2,5 veces más frecuentes que en mujeres. Si bien las tasas de mortalidad y el exceso de mortalidad fueron también superiores en hombres (en torno a 1,8 veces), el porcentaje de exceso de mortalidad sin diagnóstico COVID-19 fue superior en mujeres (44% en hombres frente a 52% en mujeres en la primera ola). Con respecto a los síntomas de la COVID-19, la fiebre, la tos y la disnea fueron más frecuentes en hombres (un 20%, 10% y 19% más, respectivamente) frente al dolor de garganta, vómitos o diarrea que se presentó más en mujeres (90%, 40% y 10% más, respectivamente). CONCLUSIONES: El análisis desagregado por sexo ha permitido identificar diferencias entre hombres y mujeres en el diagnóstico, presentación y gravedad de la COVID-19 que ayudarán a un mejor abordaje clínico y epidemiológico de la enfermedad. Sin embargo, las fuentes oficiales presentan importantes lagunas a la hora de presentar la información desagregada por sexo. Es por ello necesario avanzar en la inclusión de la perspectiva de género en la estadística sobre el COVID-19, empezando por una condición necesaria, pero no suficiente, como la desagregación por sexo de los datos.
Subject(s)
COVID-19/epidemiology , Health Status Disparities , Pandemics , Adult , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/etiology , COVID-19 Testing , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Prevalence , Risk Factors , Severity of Illness Index , Sex Distribution , Sex Factors , Spain/epidemiologyABSTRACT
The COVID-19 lockdown was imposed in a context of notable inequalities in the distribution of the social determinants of health. It is possible that the housing conditions in which children and their families experienced the confinement, and the adoption of healthy behaviors, may have followed unequal patterns. The aim was to describe social inequalities in housing conditions and in health-related behaviors among children during the lockdown in Spain. This cross-sectional study was based on data from an online survey collecting information on the child population (3-12 years) living in Spain (n = 10,765). The outcome variables used were several housing conditions and health-related behaviors. The socioeconomic variables used were financial difficulties and parents' educational level. Crude prevalence and prevalence ratios estimated using Poisson models were calculated. During lockdown, children from families with low educational levels and financial difficulties not only tended to live in poor housing conditions, but were also exposed to negative health determinants such as noise and tobacco smoke; they took less physical exercise, had a poorer diet, spent more time in front of screens and had less social contact. A notable social gradient was found in most of the variables analyzed. The results point to the need to incorporate the perspective of equity in the adoption of policies in order to avoid the increase of pre-existing social inequalities in the context of a pandemic.
Subject(s)
COVID-19 , Child , Communicable Disease Control , Cross-Sectional Studies , Humans , SARS-CoV-2 , Socioeconomic Factors , SpainABSTRACT
Aims: Clinical studies show that women are more likely to be diagnosed with depression and anxiety, and to consume prescribed psychotropic drugs. Applying an intersectional perspective that considers age, education and social class, the present study assesses gender inequalities in the diagnosis of depression/anxiety and in psychotropic consumption. Methods: We analysed data from the 2018 Basque Country Health Survey (Spain; n=8014). Prevalence rates of poor mental health, diagnosis of depression/anxiety and psychotropic consumption were calculated for each sex by age and socio-economic status. Poisson regression models were calculated to estimate PRs of these variables in women, adjusted for age, mental health status and health-care visits, and for diagnosis of depression/anxiety in the case of psychotropic drug consumption. Results: Women were 2.48 times more likely than men to be diagnosed with depression or anxiety, and this difference remained significant after adjustments (prevalence ratio (PR)=1.86; 95% confidence interval (CI) 1.40-2.47). Women also took significantly more prescribed psychotropic drugs, even controlling for their poorer mental health, their higher prevalence of diagnosis and their more frequent health-care visits (PR=1.52; 95% CI 1.28-1.82). No gender inequalities were observed in those younger than 45 or with the highest level of education. Conclusions: Gender inequalities in the diagnosis and prescription of psychotropic drugs exist, and these cannot be explained by differences in mental-health status or health-care visit frequency. It seems, then, that medicalisation of mental health is occurring among women. Further evidence about the mechanisms that underlie the results is crucial to design truly gender-sensitive health policies that reduce medicalisation of women's mental health.
Subject(s)
Anxiety/drug therapy , Anxiety/epidemiology , Depression/drug therapy , Depression/epidemiology , Health Status Disparities , Psychotropic Drugs/therapeutic use , Women's Health/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Health Surveys , Humans , Male , Middle Aged , Prevalence , Sex Distribution , Socioeconomic Factors , Spain/epidemiology , Young AdultABSTRACT
PURPOSE: The aim of this study is to analyse the extent to which research and knowledge production on a key occupational health issue-the impact of precarious employment on health-incorporates, and is sensitive to, a gender perspective. METHODS: A systematic literature review was carried out to identify studies that analysed the relationship between precarious employment and mental health in the period January 2010-May 2018 through. A minimum of two independent reviewers assessed each article for quality and eligibility. A checklist was used to determine whether the articles included in the review incorporated a gender perspective. RESULTS: The search retrieved 1522 papers, of which 54 (corresponding to 53 studies) met the inclusion criteria. Of these 54 papers, 22 (40.7%) stratified the analyses by sex. Only 5.4% of the total of articles both stratified by sex and considered variables of household composition and marital status, while only 33.3% incorporated an intersectional perspective. None considered the distribution of domestic work and only a quarter (25.9%) approached the study and interpreted the results in terms of gender. CONCLUSION: Too few studies researching paid work and health include a gender perspective. This omission necessarily implies a biased interpretation of the reality of precarious employment and its impact on health.
Subject(s)
Employment/psychology , Mental Health , Bias , Female , Gender Role , Humans , Male , Occupational Health , Sex Characteristics , Sex DistributionABSTRACT
It is well known that women are more likely than men to be diagnosed with depression and to consume antidepressants. The factors related to the medicalisation of depression and their social distribution remain unclear. The aim of this study was to analyse gender inequalities in the medicalisation of depression from an intersectional perspective. This was a cross-sectional study based on data from the European Health Survey relating to Spain. Gender inequalities were calculated using prevalence ratios of women compared to men with a diagnosis of depression and antidepressant use, adjusted for age, depressive symptoms, primary care visits and diagnosis of depression in the case of antidepressant use. After adjustments, the diagnosis of depression and the use of antidepressants were more prevalent in women, especially of lower socioeconomic levels. Gender inequalities in the diagnosis of depression also increased with decreasing level of education. Regarding the use of antidepressants, gender inequalities were not significant in university graduates and people of higher social. The gender inequalities found in the diagnosis and treatment of depression cannot be completely attributed to a higher level of depressive symptoms in women or their greater frequency of visits to primary care. Inequalities are greater in more vulnerable social groups.
Subject(s)
Depression , Antidepressive Agents/therapeutic use , Cross-Sectional Studies , Depression/diagnosis , Depression/drug therapy , Depression/epidemiology , Female , Gender Equity , Humans , Male , Sex Factors , Socioeconomic Factors , Spain/epidemiologyABSTRACT
El uso de estudios basados en encuestas online se ha extendido de manera notable. A pesar de tener tasas de respuesta especialmente pequeñas, permiten obtener con facilidad un gran tamaño de muestra. Sin embargo, esta estrategia puede conllevar un sesgo de selección que comprometa notablemente los resultados. Se comparan los resultados de dos encuestas sobre la regulación de la eutanasia y el suicidio asistido, una online con muestra autoseleccionada y la otra con muestreo aleatorio, realizadas en 2018 entre los/las colegiados/as del Colegio de Médicos de Bizkaia. Las tasas de respuesta fueron del 10,4% (encuesta online) y del 87,8% (encuesta aleatoria). No se encontraron diferencias en las características sociodemográficas, aunque sí en las de opinión, de manera que el porcentaje de personas contrarias a la regulación de la eutanasia estaba sobrestimado. Los resultados de este estudio muestran que dicha estrategia de muestreo genera sesgos en los resultados, alguno de ellos difícilmente detectable y reparable
The use of studies based on online surveys has expanded significantly. Despite having particularly small response rates, they allow a large sample size to be easily obtained. However, this strategy may entail a selection bias that significantly compromises the results. The results of two surveys on the regulation of euthanasia and assisted suicide are compared. One is an online survey with a self-selected sample and the other a survey with random sampling, conducted in 2018 among the members of the Medical Association of Bizkaia. The response rates were 10.4% (online survey) and 87.8% (random survey). No differences were found in sociodemographic characteristics, although there were differences in the opinion variables, so that the percentage of people who opposed euthanasia regulation was overestimated. The results of this study show that this sampling strategy generates biases in the results, some of which are difficult both to detect and to repair
Subject(s)
Humans , Surveys and Questionnaires/classification , Suicide, Assisted/statistics & numerical data , Euthanasia/statistics & numerical data , Internet Access/statistics & numerical data , Selection Bias , Sample Size , Data Collection/methods , Reproducibility of ResultsABSTRACT
Precarious employment has expanded during the last decades, but there is no full consensus on its definition, and its impact on mental health is not completely understood. The relevance of several micro- and macro-level variables in the association between precarious employment and mental health has not been fully addressed. This review has 2 aims: to identify scientific evidence on the relationship between various dimensions of precarious employment and mental health, and to synthesize the inclusion of a gender-sensitive perspective, context variables, workers' household variables, and the discussion of causal mechanisms underlying the association. The literature was searched in PubMed, EMBASE, Web of Science and PsycINFO including articles dated 2010-May 2018. A minimum of 2 independent reviewers assessed each article regarding quality and eligibility criteria. The search retrieved 1522 papers, of which 54 (corresponding to 53 studies) met the inclusion criteria. Most of the studies analyzing job insecurity, temporariness and multidimensional approaches reported a significant association. Nevertheless, results for working time arrangements and downsizing are inconclusive. Around half of the studies included sex-stratified analyses and formulated contradictory conclusions. Overall, 7 studies considered workers' household situation and only 3 delivered significant results, and 16 described some of the potential pathways. There is evidence of an association between various precarious employment approaches and mental health problems. Further research (preferably longitudinal) should aim to discuss theoretical models explaining the pathways between precarious employment and mental health, including a gender-sensitive perspective, and integrating several levels of individual and contextual variables. Int J Occup Med Environ Health. 2020;33(5):569-98.
Subject(s)
Employment/psychology , Health Status , Mental Health , Occupational Health/statistics & numerical data , Adult , Female , Humans , Male , Middle Aged , Surveys and QuestionnairesABSTRACT
Women's worse mental health has been shown using both health survey and clinical-based data. Considering that the hypothesis about a greater biological vulnerability of women is inconsistent, unequal living conditions between men and women, together with hegemonic models of hegemonic masculinity and femininity emerge as explain factors of these gender inequalities in mental health. The article shows that gender inequalities in mental health, the intersection of different axes of inequality, and the existence of a possible process of medicalization of women's mental health, by which health professionals are labeling women more frequently as depressed and anxious given similar mental health status in men and women. Prescription of psychotropic drugs is also of greater intensity in women, given equal need. This reality, moreover, seems to be unequal depending on the age and socioeconomic level of the patients. In recent years, different experiences are being developed aimed at addressing the growing medicalization of mental health from a gender perspective. Given that the phenomenon of medicalization is complex, it is necessary to act and promote changes at political-structural, cultural and health care levels that ultimately reverse gender inequalities in societies and promote non gender-biased healthcare.
Subject(s)
Medicalization , Mental Health , Female , Gender Identity , Humans , Male , Research Report , Socioeconomic Factors , Women's HealthABSTRACT
OBJECTIVE: To describe trends in fertility in Spain before (pre-recession; 1998-2008) and during (recession period; 2009-2013) the economic crisis of 2008, taking into account women's age and regional unemployment in 2010. METHOD: The study consisted of a panel design including cross-sectional ecological data for the 17 regions of Spain. We describe fertility trends in Spain in two time periods, pre-recession (1998-2008) and recession (2009-2013). We used a cross-sectional, ecological study of Spanish-born women to calculate changes in fertility rates for each period using a linear regression model adjusted for year, period, and interaction between them. RESULTS: We found that compared to the pre-recession period, the fertility rate in Spain generally decreased during the economic recession. However, in some regions, such as the Canary Islands, this decrease began before the onset of the recession, while in other regions, such as the Basque country, the fertility rate continued to grow until 2011. The effects of the recession on the fertility rate are clearly observed in women aged 30-34 years. CONCLUSIONS: The current economic recession has disrupted the positive trend in fertility that began at the start of this century. Since Spain already had very low fertility rates, the further decline caused by the economic recession could jeopardize the sustainability of welfare-state systems
OBJETIVO: Describir las tendencias de la fecundidad en España en la época precrisis (1998-2008) y durante la crisis (2009-2013) económica, teniendo en cuenta la edad de las mujeres y el desempleo regional en 2010. MÉTODO: Se utiliza un diseño panel que incluye datos ecológicos transversales para las 17 comunidades autónomas de España. Se describen las tendencias de fecundidad en los dos periodos. Para calcular los cambios en las tasas de fecundidad se utiliza un modelo de regresión lineal ajustado por año, periodo e interacción de ellas. RESULTADOS: En comparación con el periodo anterior, la tasa de fecundidad global en España disminuyó durante la crisis económica. Sin embargo, en algunas comunidades, como las Islas Canarias, esta disminución comenzó antes del inicio de la crisis, mientras que en otras, como el País Vasco, la tasa de fecundidad continuó creciendo hasta 2011. Los efectos de la crisis en la fecundidad se observan claramente en mujeres de 30 a 34 años. CONCLUSIONES: La crisis económica actual ha interrumpido la tendencia positiva en la fecundidad que comenzó a principios de este siglo. Dado que España ya tenía tasas de fecundidad muy bajas, el descenso causado por la crisis económica podría poner en peligro la sostenibilidad de los sistemas de bienestar social
Subject(s)
Humans , Female , Adolescent , Young Adult , Adult , Middle Aged , Fecundity Rate , Unemployment/trends , Birth Rate/trends , Pregnancy Rate/trends , Economic Recession/statistics & numerical data , Ecological Studies , Maternal Age , Spain/epidemiologyABSTRACT
OBJETIVO: Examinar las desigualdades socioeconómicas en salud en población mayor en España. MÉTODO: Se realizó una búsqueda sistemática y una revisión de las publicaciones en inglés y español entre los años 2000 y 2017 en Social Science Citation Index, Sociology Database, Scopus, PubMed y Embase. Se incluyeron estudios primarios y secundarios que analizaban dichas desigualdades en España. Dos investigadoras seleccionaron los estudios y extrajeron la información (primer/a autor/a, año de publicación, región, diseño, población/muestra, indicadores socioeconómicos y de salud utilizados, y resultados más relevantes). RESULTADOS: Se incluyeron 89 artículos que se correspondían con 87 estudios. El 81,6% de los estudios eran transversales, un 88,5% incluía solo población no institucionalizada y el 35,6% eran de ámbito estatal. Los estudios analizaban desigualdades en los siguientes indicadores de salud: estado funcional (n=29), morbilidad (n=19), salud percibida (n=18), salud mental y emocional (n=10), estado cognitivo (n=7), calidad de vida (n=9), mortalidad (n=15) y esperanza de vida (n=2). Se detectaron desigualdades socioeconómicas en todos ellos, si bien la magnitud varió en función de los indicadores socioeconómicos y de salud utilizados. El nivel educativo y los índices ecológicos fueron los que más desigualdades en salud detectaron. El impacto de las desigualdades por sexo fue diferente en el estado funcional, la morbilidad, la salud percibida, la salud mental y emocional, y la mortalidad. CONCLUSIÓN: Existen desigualdades socioeconómicas en salud entre la población mayor, cuya magnitud varía según el sexo en algunos indicadores de salud. El mayor nivel educativo y el mantenimiento de unas pensiones suficientes pueden ser políticas clave que contribuyan a la disminución de las desigualdades en este grupo de población
OBJECTIVE: To examine socioeconomic inequalities in health in the older population in Spain. METHOD: A systematic search and review of the literature published between 2000 and 2017 in English and Spanish was conducted in Social Science Citation Index, Sociology Database, Scopus, PubMed and Embase. Primary and secondary studies analysing these inequalities in Spain were included. Two researchers were responsible for the selection of the studies and the extraction of the information (first author, year of publication, region, design, population/sample, socioeconomic and health indicators used, and main results). RESULTS: A total of 89 articles were included, corresponding to 87 studies. Of the studies, 81.6% were cross-sectional, 88.5% included only non-institutionalised population and 35.6% were carried out at a national level. The studies analysed social inequalities in the following health indicators: functional status (n=29), morbidity (n=19), self-perceived health (n=18), mental and emotional health (n=10), cognitive status (n=7), quality of life (n=9), mortality (n=15) and life expectancy (n=2). Socioeconomic inequalities were detected in all of them, although the magnitude varied depending on the socioeconomic and health indicator used. The educational level and the ecological indexes were the indicators that detected more inequalities in health. The impact of inequalities by sex was different in functional status, morbidity, self-perceived health, mental and emotional health and mortality. CONCLUSION: There are socioeconomic inequalities in health among the elderly population and their magnitude varies by sex in some of the health indicators. The increase in educational level and the maintenance of sufficient pensions can be key policies that contribute to the reduction of inequalities in this population group
Subject(s)
Humans , Healthcare Disparities , Social Determinants of Health/trends , Health of the Elderly , Health Status Disparities , 57918 , Health Inequality Indicators , Spain/epidemiologyABSTRACT
OBJETIVO: Identificar los indicadores de posición social utilizados para la evaluación de desigualdades en salud en la población de 65 y más años en España. MÉTODO: Se llevó a cabo una búsqueda sistemática de publicaciones en inglés y español desde el año 2000 en bases de datos sanitarias y sociales. Se incluyeron estudios primarios y secundarios que analizaban dichas desigualdades en España. Se identificaron los indicadores utilizados, así como las ventajas y limitaciones señaladas por los/las autores/as. Los principales hallazgos se sintetizaron en forma de revisión de la literatura. RESULTADOS: Se incluyeron 87 estudios, que se describían en 89 artículos. Los indicadores socioeconómicos empleados fueron tanto individuales como de tipo ecológico. Entre los primeros, el nivel educativo fue la variable socioeconómica más analizada (n=73). Otras variables individuales empleadas fueron la ocupación (n=17), el nivel económico objetivo (n=16), el nivel económico subjetivo (n=4), la vivienda y la riqueza material del hogar (n=6), la relación con la actividad laboral (n=5) y medidas mixtas (n=5). Entre los indicadores ecológicos se identificaron índices simples (n=3) y compuestos (n=7). Estos últimos se habían construido a partir de varios indicadores, entre los que se encontraban el nivel educativo y el desempleo. Se analizaron las desigualdades en múltiples indicadores de salud, siendo la salud percibida el único indicador evaluado en función de todos los indicadores socioeconómicos descritos. CONCLUSIONES: Se identifica una gran variedad de indicadores socioeconómicos para el análisis de las desigualdades sociales en salud en población mayor. No se evalúan suficientemente desde una perspectiva de género, por lo que esto constituye una línea de interés para futuras investigaciones
OBJECTIVE: To identify the indicators of social position used to evaluate inequalities in health among the population aged 65 and over in Spain. METHOD: A systematic search of the literature published in English and Spanish since 2000 in health and social databases was carried out. Primary and secondary studies analyzing these inequalities in Spain were included. The indicators used were identified, as well as the advantages and limitations pointed out by the authors. The main findings were synthesized in a review of the literature. RESULTS: We included 87 studies, described in 89 articles. The socioeconomic indicators employed were both individual and ecological. Among the former, educational level was the most analyzed socioeconomic variable (n=73). Other individual variables used were occupation (n=17), objective economic level (n=16), subjective economic level (n=4), housing and household material wealth (n=6), relationship with work activity (n=5), and mixed measures (n=5). Among the ecological indicators, simple (n=3) and complex indices (n=7) were identified. The latter had been constructed based on several indicators, such as educational level and unemployment. Inequalities in multiple health indicators were analyzed, self-perceived health being the only indicator assessed according to all the socioeconomic indicators described. CONCLUSIONS: A wide variety of indicators is identified for the evaluation of social inequalities in health among the elderly population. There have not been sufficiently assessed from a gender perspective; this is a line of interest for future research
Subject(s)
Humans , Healthcare Disparities , Social Determinants of Health/trends , Health of the Elderly , 57926/trends , Health Status Disparities , 57918 , Health Inequality Indicators , Spain/epidemiologyABSTRACT
BACKGROUND: Colorectal cancer (CRC) is a major public health problem due to its incidence and mortality. Screening programmes help decrease its impact on the population through early detection. However, the uneven distribution of social determinants of health can cause inequalities. The aim of this study is to identify the social inequalities in the participation in CRC screening programmes. METHODS: A systematic review of the literature was carried out, searching in both health and social databases for papers published since 2000 in English, Spanish, Portuguese and French. The search strategies combined terms regarding screening, CRC, participation and social inequalities. Included papers were quantitative or qualitative primary studies analyzing gender and socioeconomic inequalities in the participation in CRC screening programmes implemented by public and private health-care providers and addressing 45- to 75-year-old population. RESULTS: A total of 96 studies, described in 102 articles, were included. Most were quantitative observational studies and analyzed population-based screening programmes. They were carried out mainly in the UK (n=29) and the USA (n=18). Participation in screening programmes varied from 1.1% to 82.8% using several methods. A total of 87 studies assessed participation by sex and one focussed on men, but only two provided an analysis from a gender perspective. Although men are at a higher risk of developing CRC, they generally were less likely to participate in screening programmes. Screening attendance was higher among the least deprived areas. CONCLUSIONS: Gender and socioeconomic inequalities in CRC screening participation should be addressed through the design of tailored interventions with a multidimensional focus.