[Health inequalities in self-perceived health among older adults in Spain]

Biopsychosocial Factors of Depression Among Hispanic Women Aged ≥50 Years

The purpose of the current study was to identify biopsychosocial factors associated with depressive symptoms among Hispanic women aged ≥50 years. Cross-sectional data related to 10 biological, psychological, and social factors were analyzed. Center for Epidemiologic Studies Depression Scale scores suggested that 32% of the sample had depressive symptoms. Self-esteem, self-perception of health status, income, and chronic pain had statistically significant associations with depressive symptoms. A logistic regression analysis showed that increasing self-esteem scores were associated with decreases in the likelihood of having depressive symptoms. Findings underscore that depression is associated with biological, psychological, and social factors. Culturally tailored interventions that aim at targeting these factors may have an impact on Hispanic women's depression and overall well-being. [Journal of Psychosocial Nursing and Mental Health Services, 61(11), 32-42.].

A Cross-Sectional Study on Self-Perceived Health and Physical Activity Level in the Spanish Population

One-third of the Spanish population over 15 years of age did not achieve a reasonable amount of physical activity (PA) before the COVID-19 pandemic. We aim to analyse the associations between the PA level (PAL) and self-perceived health (SPH) in the Spanish population aged 15−69 years during the pre-pandemic period. A cross-sectional study was conducted using the Spanish National Health Survey 2017 (ENSE 2017) data, with 17,777 participants. We carried out a descriptive analysis, analysed intergroup differences with non-parametric statistical tests, and calculated the Odds Ratio (OR) and Relative Risk (RR) of having a negative SPH according to PAL. In addition, correlations between PAL and SPH were studied, finding associations between them (p < 0.001). Thus, performing moderate and intense PA was related to better SPH than just walking or inactive. Weak and moderate correlations were found between PAL and SPH (p < 0.001). We also found high ORs and RRs of negative SPH as PAL decreased. Moderate and intense PA were related to positive SPH, while the risk of negative perception in inactive people was higher.

The Association of Interpersonal Relationships and Social Services with the Self-Rated Health of Spanish Homelessness

Understanding the specific factors associated with poor health is critical to improve the health of homeless people. This study aimed to analyze the influence of personal variables, interpersonal relationships, and the influence of social services on the health of homeless people. A secondary analysis was applied to cross-sectional data from a sample of 1382 homeless people living in the Basque Country (Spain) (75.69% male). Multinomial logistic regression modelling was used to analyze the relationship between health and personal variables, interpersonal variables, perceived help and use of the social services. Relationships with the family, using a day center, and a sufficient and high perceived help of the social services were significant factors associated with good health. On the other hand, spending the day alone or using mental and health care services are associated with poor health. In the same way, the longer a person has been homeless, the worse their expected state of health is. Addressing housing exclusion, promoting interpersonal relationships, using a day center, and developing the use and perceived helpfulness of social services stand out as key factors in improving health status. Social policies are usually focused on housing. However, this paper also highlights the relevance of developing interpersonal relationships and using day centers to improve homeless people’s health.

[Self-perceived health in Spanish and Portuguese young seniors after the great recession according to the European Health Survey: A cross-sectional study]

OBJECTIVE

The aim of this study is to describe self-perceived health (SPH) in Spanish and Portuguese population aged between 65 and 74years old and to analyze other associated factors measured in the European Health Interview Survey (EHIS) in 2014.

DESIGN

Retrospective secondary data analysis from EHIS 2014.

SETTING

Community based.

PARTICIPANTS

Young seniors, people aged 65-74years old surveyed and with available data from two countries.

MAIN MEASUREMENTS

For each country and sex, SPH, sociodemographic variables, clinical chronic conditions, lifestyles and utilization of health care resources were described. A multiple logistic regression (very good or good SPH versus remaining levels) with robust estimators was used to assess the country effect adjusted by sociodemographic factors, clinical factors and/or lifestyles.

RESULTS

Good SPH showed variation by country (52.9% Spain vs. 19% Portugal; P<.001) and gender (44% men vs. 31.3% women; P<.001). Both countries had high prevalence of multimorbidity (64.7% Spain vs. 76.3% Portugal; P<.001) and the distribution of chronic diseases was similar with the only exception of depression (13.2% Spain vs. 20.3% Portugal; P<.001). Regarding individual factors related with good SPH we found Spanish nationality (OR: 4.52; 95%CI: 4.05-5.04), male gender (OR: 1.10; 95%CI: 1.101-2.21), education level, completing primary school (OR: 1.28; 95%CI: 1.24-1.31) or achieving tertiary level (OR: 2.43; 95%CI: 1.14-5.17) and physical activity of two or more days per week (OR: 1.87; 95%CI: 1.39-2.5). Factors with a negative impact on SPH were multimorbidity (OR: 0.19; 95%CI: 0.12-0.31) and depression (OR: 0.32; 95%CI: 0.25-0.41).

DISCUSSION

Good SPH is higher in Spanish young seniors compared to Portuguese. Having higher level of education achieved and practicing regular physical exercise were two most important factors increasing good SPH.

Impacto de la crisis económica sobre la percepción de la salud en la población española

Objetivo: analizar el impacto de la situación económica en la percepción del estado de salud y la capacidad explicativa de las características individuales en esta percepción. Método: estudio transversal con enfoque analítico. Se extrajeron datos de la Encuesta Nacional de Salud (ENSE) publicada en 2011-2012 (crisis económica) y en 2017 (recuperación). La variable dependiente fue la percepción de la salud recogida en una escala Likert de 1 (muy bueno) a 5 (muy malo). Las variables independientes fueron: el momento de recogida (crisis/recuperación), sociodemográficas, relacionadas con el estilo de vida, relativas al estado «objetivo» de salud y relacionadas con el uso de servicios. Se construyeron modelos lineales generalizados para dar respuesta a los objetivos. Para valorar la magnitud del tamaño del efecto de las asociaciones se valoró la dispersión de las distribuciones según la relación existente entre el efecto y la desviación estándar de la media (DS). Resultados: se encontró una mejoría en la percepción del estado de salud de -0,066 (intervalo de confianza [IC] 95%: entre -0,080 y -0,052) puntos en el período de recuperación. Se hallaron asociaciones de tamaño del efecto «moderado» entre una peor percepción de salud y las variables relacionadas con el estado «objetivo» de salud; y «pequeño», con las variables relacionadas con el estilo de vida poco saludable y la clase social más desfavorecida. Conclusión: los períodos de crisis económica se asocian a una peor percepción del estado de salud, impactando más en aquella población perteneciente a una categoría social baja, con hábitos de vida poco saludables y especialmente en los pacientes crónicos. Palabras clave: estado de salud, crisis económica, enfermedad crónica, España, clase social, características de la población.

Influence of Psychosocial Variables on the Health of People Living in Housing Exclusion

The aim of this study was to analyze the influence of some personal characteristics, health variables, and social support on the self-rated health of people in housing exclusion in Spain. For that purpose, we used the FOESSA Survey of Social Integration and Needs database, with a final sample of 1574 households. Being more educated and reporting a good life satisfaction stood out as the main factors preventing worse health status. Furthermore, results showed that being female, experiencing poverty-related food insecurity, not having health insurance, experiencing widowhood or partner bereavement, and having caring responsibilities for others or having a disabled person in the household are associated with increased reporting of regular or poor health. On the other hand, being young, having a diagnosed/long-term illness, and a big household size are preventive factors for good health. These results allowed identifying risk and prevention factors to inform interventions to improve the health of those living in housing exclusion. Promoting better education levels, social support, and overall life satisfaction could be important to improve health in this population. Developing social support policies for caring responsibilities and food insecurity must be a priority to improve the health of people living in housing exclusion.

[Markers of inequality in self-rated health in Brazilian adults according to sex]

The aim of this study was to analyze self-rated health in Brazil's adult population according to markers of health inequality (color or race, region of residence, schooling, per capita household income, and social class), stratified by sex. We studied 59,758 individuals 18 years or older who participated in the 2013 National Health Survey, a population-based household survey. Data collection used face-to-face interviews and key physical measurements. Self-rated health was classified as positive, fair, or negative. Multinomial logistic regression was used to estimate crude and adjusted odds ratios (OR) and respective 95% confidence intervals (95%CI). Percentage agreement and kappa values were calculated to compare the results obtained by regression models and the expected values. Prevalence of positive self-rated health in the overall population was 66.2% (70% in men and 62.6% in women). In the adjusted analysis, the odds of worse self-rated health were significantly higher in individuals with lower per capita household income, less schooling, from the lowest social classes, residents of the North and Northeast regions, and those with brown and black color/race. Public policies for health promotion and recovery in these more vulnerable social groups can help reduce the persistent health inequalities in Brazil.

[Socioeconomic inequalities in health among the elderly population in Spain]

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.

Are partner's features important to understand health at older ages? The Spanish case

OBJECTIVE

To analyse health differences among partnered individuals in Spain aged 65-81 considering their combined (education of both partners and age gap) and household (economic capacity of the household) characteristics.

METHOD

A cross-sectional study of the 2015 Spanish sample of the European Union Statistics on Income and Living Conditions survey (EU-SILC) on partnered individuals aged 65-81 years (N=1787). Using logistic regression models separately for women and men we obtained odds and predicted probabilities of having less than good health (95% confidence intervals) according to combined information from both partners on education and age, the household's economic capacity and partner's health status.

RESULTS

Probabilities of not having good health are significantly less among lower educated women whose partners are more highly educated (compared to both partners being lower educated) and among women whose partner is younger or has good health status. The latter also applies to men. Living in a household without economic difficulties also favours health (both sexes).

CONCLUSIONS

For both sexes a partner's health status is the variable that shows the largest effect on elderly partnered Spanish people's health but women's health appears to be more sensitive to their partner's educational attainment and the household's economic situation.

Homelessness and self-rated health: evidence from a national survey of homeless people in Spain

BACKGROUND

Internationally, acute homelessness is commonly associated with complex health and social care needs. While homelessness can be understood as an outcome of structural housing exclusion requiring housing led solutions, the health care issues faced by homeless people equally require attention. A substantive evidence base on the health needs of homeless people exists, but relatively little is known about what influences the self-rated health of homeless people. This article presents new evidence on whether drug use (alcohol consumption, ever having used drugs), health variables (visiting a hospital once in the last year, visiting the doctor in the last month, having a health card, sleeping difficulties, and having a disabling impairment) and sociodemographic characteristics are significantly associated with Self-Rated Health (SRH) among Spanish homeless people.

METHOD

The approach applies secondary analysis to cross-sectional data from a sample of 2437 homeless adults in Spain (83.8% were male). Multinomial logistic regression modelling was used to analyse the relationships between drug use, other health variables and SRH.

RESULTS

Being male, an abstainer, having a health card and being in the youngest age groups were significant factors associated with perceived good health. On the other hand, ever having used drugs, having been a night in hospital, having gone to the doctor in the last month, having sleeping difficulties, having a disabling impairment and being in the older age group were all significant risk factors associated with perceived poor health.

CONCLUSIONS

These results help to improve understanding of the key factors that influence the SRH among homeless people. The findings can contribute to development and delivery of preventive policies, suggesting that interventions to reduce drug consumption and ensure access to a health card/health services, as well as enhancing services for older, female and disabled homeless people are all measures which could improve health and well-being for those who face homelessness. Effective housing interventions (e.g. Housing First or Permanent Supported Housing programmes) are equally important to underpin the effectiveness of measures to improve the self-rated health of homeless people.

[Social inequalities in health among the elderly population: review of indicators used in Spain]

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.

Influence of changes in the Spanish labor market during the economic crisis (2007-2011) on perceived health

PURPOSE

We analyze the influence of the dramatic changes in the Spanish labor market during the crisis on the perceived health of the Spanish population.

METHODS

We use the longitudinal Living Conditions Survey database and multilevel longitudinal logistic models between 2007 and 2011, before and during the economic crisis in one of the European countries most affected by its consequences.

RESULTS

Unemployment (OR 1.75; p < 0.001), job insecurity (OR 1.38; p < 0.001), and being part of a household with severe material deprivation (OR 1.87; p = 0.004) increase the risk of having worsened perceived health. Available income, on the other hand, is a protective factor (OR 0.72; p < 0.001). Public expenditure policies have little impact on the perceived health. Labor market reforms reducing the degree of job insecurity and unemployment, together with income transfers to those at greater risk of social deprivation, can be more effective in improving the health of the population than the increase of aggregated social or health care expenditure.

CONCLUSIONS

This study provides evidence of the influence that unemployment, job insecurity, and poverty exert on the perceived health of individuals, with data collected in Spain after the onset of the financial crisis. In addition, after analyzing public social expenditure, only expenditure on FPS seems to influence self-reported health, although to a very limited degree.

Long term unemployment, income, poverty, and social public expenditure, and their relationship with self-perceived health in Spain (2007-2011)

BACKGROUND

There is scant research that simultaneously analyzes the joint effects of long-term unemployment, poverty and public expenditure policies on poorer self-perceived health during the financial crisis. The aim of the study is to analyze the joint relationship between long-term unemployment, social deprivation, and regional social public expenditure on one side, and self-perceived health in Spain (2007-2011) on the other.

METHODS

Longitudinal data were extracted from the Survey on Living Conditions, 2007-2010 and 2008-2011 (9105 individuals and 36,420 observations), which were then used to estimate several random group effects in the constant multilevel logistic longitudinal models (level 1: year; level 2: individual; level 3: region). The dependent variable was self-perceived health. Individual independent interest variables were long and very long term unemployment, available income, severe material deprivation and regional variables were per capita expenditure on essential public services and per capita health care expenditure.

RESULTS

All of the estimated models show a robust association between bad perceived health and the variables of interest. When compared to employed individuals, long term unemployment increases the odds of reporting bad health by 22% to 67%; very long-term unemployment (24 to 48 months) increases the odds by 54% to 132%. Family income reduces the odds of reporting bad health by 16% to 28% for each additional percentage point in income. Being a member of a household with severe material deprivation increases the odds of perceiving one's health as bad by between 70% and 140%. Regionally, per capita expenditure on essential public services increases the odds of reporting good health, although the effect of this association was limited.

CONCLUSIONS

Long and very long term unemployment, available income and poverty were associated to self-perceived bad health in Spain during the financial crisis. Regional expenditure on fundamental public services is also associated to poor self-perceived health, although in a more limited fashion. Results suggest the positive role in health of active employment and redistributing income policies.

[Healthy eating and self-perception of health]

OBJECTIVES

The aim is to determine whether there is an association between perceived health status, healthy eating and other lifestyles in people over 50 years old.

DESIGN

Cross-sectional study.

SETTING

8 Basic Health Zones from the Health Area of Albacete.

PARTICIPANTS

A total of 781 subjects, randomly selected by simple random sampling.

MAIN MEASUREMENTS

variables: self-rated quality of life (EuroQol 5D), dietary habits (questionnaire on frequency of food consumption), physical activity (IPAQ questionnaire), toxic habits, health problems (International Classification of Primary Care) and sociodemographic characteristics.

RESULTS

The mean age was 61.4 years (SD: 6.6) and the proportion of women was 60.1%. On a scale of 0-100 the mean score in the perceived health status was 74.0 (SD: 15.2). This score had a weak correlation with the number of healthy eating criteria (r=0.078; P=.03). A linear trend (P=.001) was observed between exercise intensity and better self-rated health. The score was lower in smokers (70.9±15.6 vs 74.9±15.1 SD; P=.004). In the multiple regression, the number of healthy eating criteria remained an association with the score on perceived health status (P=.04), after adjusting the model for sociodemographic characteristics, number of health problems, and toxic habits.

CONCLUSIONS

In people over 50years of age the level of self-rated health is associated with the fulfilment of the criteria of a healthy diet, which is independent of other health habits and main sociodemographic variables.

[Current situation of the research on living conditions and health status of elderly people in Spain]

OBJECTIVE

To analyse the dimensions studied with respect to living and health conditions of the non-institutionalised elderly in the scientific literature in Spain.

METHOD

A content analysis based on secondary sources was carried out by literature searches in Pubmed and Embase in Spanish and English. The search strategies combined terms related to older people, health and/or living conditions and with Spain. All studies assessing living and/or health conditions of elderly in Spain were included. Studies analyzing a specific aspect of living or health conditions and those based on institutionalized population were excluded.

RESULTS

A total of 14 studies were considered in the content analysis. The studies are usually local, cross-sectional and data collection is done by direct interview. Variability was observed in the aspects analysed about living and health conditions. All studies included: sociodemographic characteristics, health status and lifestyle habits. Issues related to the status of the out-of home environment are poorly analysed.

CONCLUSIONS

This work allows knowing the dimensions prioritised in the studies carried out to date about health and living conditions in Spain. It also provides key elements for the development of future research aiming to integrate both living and health conditions of elderly population, both aspects closely related.