Socioeconomic Inequalities in Frailty among Older Adults: Results from a 10-Year Longitudinal Study in the Netherlands

Hoogendijk, Emiel O.; Heymans, Martijn W.; Deeg, Dorly J. H.; Huisman, Martijn

doi:10.1159/000481943

Cited by 53 publications

(59 citation statements)

References 34 publications

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“…With regard to SES-based health gaps in frailty in older age, we found that the gap between low and high educated respondents did not converge with age but remained constant, which conforms to the results of previous longitudinal studies modelling single health outcomes such as self-reported health status or the number of chronic diseases [29][30][31] more generally -although diverging patterns have been reported with regard to functional limitations [29,30] and frailty (index) trajectories more specifically [6,[8][9][10]. In contrast to Hoogendijk et al [10], we found SES-related differences for both men and women. Our results thus support the status maintenance hypothesis [32].…”

Section: Discussionsupporting

confidence: 89%

“…Our results thus support the status maintenance hypothesis [32]. It can be argued that the educational level which is usually fixed in early life keeps the health gap up on the one hand due to differences in health knowledge and behaviour delaying the onset of health problems for the higher educated [33], as well as indirectly on the other hand through the effects of occupational position, income and wealth [6,8,10], which are co-determined by educational achievement, but were not included in the present study.…”

Section: Discussionsupporting

confidence: 86%

“…Sample attrition due to dropout is inevitable in longitudinal surveys of older adults, where members of the sample with poor or compromised health are more likely to be unwilling or incapable of participation in lengthy survey interviews, thus leaving an ever more selective sample of healthier sample members [10,[12][13][14]. Additionally, men and those with a low level of education have been found to be more likely to drop out during follow-up [15,16].…”

Section: Introductionmentioning

confidence: 99%

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Does Sample Attrition Affect the Assessment of Frailty Trajectories Among Older Adults? A Joint Model Approach

et al. 2018

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Background: Frailty constitutes an important risk factor for adverse outcomes among older adults. In longitudinal studies on frailty, selective sample attrition may threaten the validity of results. Objective: To assess the impact of sample attrition on frailty index trajectories and gaps related to socio-economic status (education) therein among older adults in Europe. Methods: A total of 64,143 observations from 21,044 respondents (50+) from the Survey of Health, Ageing and Retirement in Europe across 12 years of follow-up (2004–2015) and subject to substantial sample attrition (59%) were analysed. We compared results of a standard linear mixed model assuming missing at random (MAR) sample attrition with a joint model assuming missing not at random sample attrition. Results: Estimated frailty trajectories of both the mixed and joint models were identical up to an age of 80 years, above which modest underestimation occurred when a standard linear mixed model was used rather than a joint model. The latter effect was larger for men than women. Substantial education-based inequality in frailty continued throughout old age in both the mixed and joint models. Conclusion: Linear mixed models assuming MAR sample attrition provided good estimates of frailty trajectories up until high age. Thus, the validity of existing studies estimating frailty trajectories based on standard linear mixed models seems not threatened by substantial sample attrition.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

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Does Sample Attrition Affect the Assessment of Frailty Trajectories Among Older Adults? A Joint Model Approach

et al. 2018

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“…This includes, for example, frailty and polypharmacy, which have shown to be more prevalent in older adults with low education or low levels of income (1)(2)(3). Another geriatric condition with serious consequences for older people in terms of quality of life and adverse health events is malnutrition (4,5).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic Position and Malnutrition among Older Adults: Results from the FRADEA Study

Hoogendijk

Ruano

Martínez-Reig

et al. 2018

The Journal of nutrition, health and aging

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Abstract:Objectives: Low socioeconomic position (SEP) is related to many health-related conditions in older adults. However, there is a lack of knowledge on the association between SEP and malnutrition, a condition with serious consequences for older people in terms of quality of life and adverse health events. In the current study, we investigated socioeconomic inequalities in malnutrition and sub-domains of malnutrition in a sample of Spanish older adults. Design: Cross-sectional population-based study. Setting: Urban area of Albacete, Spain. Participants: 836 participants over age 70 from the first measurement wave (2007)(2008)(2009)) of the Frailty and Dependence in Albacete (FRADEA) study, a population-based cohort study. Measurements: Educational level and occupational level were the indicators of SEP. Nutritional risk was measured with the Mini Nutrition Assessment® Short Form (MNA®-SF). Logistic regression analyses were performed. Results: For both socioeconomic indicators there was a statistically significant association with nutritional risk (OR low education=1.99, 95% CI=1.18-3.35; OR low occupational level=1.71, 95% CI=1.08-2.72). However, these associations disappeared after adjusting for age and sex (OR low education=1.51, 95% CI=0.88-2.60 ; OR low occupational level=1.32, 95% CI=0.80-2.17). In adjusted models, statistically significant associations between SEP and sub-domains of the MNA®-SF were observed, but these associations were not consistent across socioeconomic indicators. Conclusions: This study found that malnutrition is a condition that can appear in any older adult, regardless of their socioeconomic group. These findings suggest that interventions to prevent malnutrition in older adults can be targeted at a general older population, and do not have to be SEP specific.

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“…Dependiendo del estudio, la prevalencia de este síndrome en adultos mayores de 65 años se sitúa entre un 4% y 50,1%, siendo muy variable entre las distintas series y aumentando con la edad (Gale, 2014) (Romero-Ortuno, 2014) (Clegg, 2013) (Theou, 2015) (Garcia-Garcia, 2011) (Abellán García, 2017), más frecuente en mujeres que en hombres y como mayor prevalencia en personas con menores niveles educacionales y salariales, peor salud y mayores tasas de comorbilidad y enfermedades crónicas (Hoogendijk, 2018).…”

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Evaluación de las ciudades inteligentes como herramienta para la detección temprana de signos y síntomas de fragilidad en adultos mayores

Jiménez¹

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AgradecimientosEl proceso de elaboración de una tesis siempre es largo, difícil y complejo, aunque satisfactorio. Y yo me lancé a completarlo, en un momento, en el que, sin el apoyo incondicional de mi entorno, no hubiera sido posible. Pero era el momento. No puedo, por tanto, presentar el resumen de todo este esfuerzo, sin reflejar a todos ellos.Lo primero, a Teresa, por creer en mí, apoyarme y dejar que nos contagiemos de su entusiasmo, ilusión y capacidad de trabajo. Sin su apoyo en momentos difíciles y su ánimo para emprender segundas oportunidades nunca hubiera llegado hasta aquí.La "época de propuestas" es un entrenamiento magnifico para afrontar con más calma la escritura de una tesis. Por eso quiero agradecer a Chiqui todo lo que he aprendido y compartido en esos momentos de trabajo a contrarreloj. Estoy segura de que me queda mucho todavía que aprender de ella.A todos mis compañeros del LST, especialmente, a mi equipo del City4Age, Silvia, Miguel, Javier y Juanba. Y a Rebe y Cecilia por sus "last minute tips".A mis amigos y familiares, por animarme a acabarla, comprender que os dedicara menos tiempo, y aguantarme en los momentos de crisis, especialmente, a mis padres, mi suegra Paqui y mis tíos Loli y Alejandro, por estar siempre ahí cuando os necesitaba para sacar tiempo, y hacer de "niñeras" improvisadas.A mis niños, Pablo, Julia y Norah por vuestros abrazos y sonrisas y hacerme disfrutar al máximo mi tiempo con vosotros.A Juanda por tu paciencia, tu insistencia y tus ánimos incondicionales.x para recoger datos de los patrones de movilidad, transporte y lugares visitados de los participantes. Los resultados han demostrado la viabilidad de utilizar un sistema basado en tecnologías de la ciudad inteligente e IoT con personas mayores. Se han recogido satisfactoriamente, una colección de métricas de actividad que nos proporciona un perfil de lo activo que es el participante y los riesgos de fragilidad asociados a este perfil. La variación en el perfil de actividad, se ha podido relacionar con eventos en la salud, en su entorno cotidiano y su familia que pueden relacionarse con incremento del riesgo de deterioro funcional y que permite la identificación de potenciales áreas para la intervención temprana.Este trabajo desplaza la evaluación de la fragilidad, tradicionalmente realizada en el ámbito doméstico, a la ciudad en su conjunto, como una extensión de su hogar, para mostrar un perfil de actividad completo, que englobe aspectos físicos, cognitivos, sociales, psicológicos y de la vida cotidiana de los ciudadanos mayores.xi Abstract XXI century's societies are characterized by two global trends: population ageing and the growing urbanization. Together, these trends create a whole new horizon full of opportunities and challenges, that requires from a quick adaptation of social and health services to the growing needs of an increasingly numerous population sector, more active and with a desire to remain independent. This urgent adaptation requires from disruptive solutions that enable, in an accessible and s...

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Socioeconomic Inequalities in Frailty among Older Adults: Results from a 10-Year Longitudinal Study in the Netherlands

Cited by 53 publications

References 34 publications

Does Sample Attrition Affect the Assessment of Frailty Trajectories Among Older Adults? A Joint Model Approach

Does Sample Attrition Affect the Assessment of Frailty Trajectories Among Older Adults? A Joint Model Approach

Socioeconomic Position and Malnutrition among Older Adults: Results from the FRADEA Study

Evaluación de las ciudades inteligentes como herramienta para la detección temprana de signos y síntomas de fragilidad en adultos mayores

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