Prevalence and risk indicators of depression in elderly nursing home patients: the AGED study

Jongenelis, K.; Pot, Anne Margriet; Eisses, A. M. H.; Beekman, Aartjan T.F.; Kluiter, H.; Ribbe, Miel W.

doi:10.1016/j.jad.2004.06.001

Cited by 360 publications

(290 citation statements)

References 19 publications

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“…One of the possible psychological factors causing pain is depression (Topinková, 2010, p. 54). A study conducted by Jongenelis et al (2004) found out that persons living in houses for the elderly who suffered from severe depression were affected by risk factors including pain. The study comprised 333 residents of houses for the elderly.…”

Section: Discussionmentioning

confidence: 99%

Factors affecting the incidence of depression in the elderly

Kabátová¹,

Uríčková²,

Botíková³

2014

Cent Eur J Nurs Midw

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Depression belongs to the most severe diseases of the elderly people. Quite often, depression is not diagnosed and treated at the older age. Consequently, it leads to deterioration of the overall physical, psychological and social state of an elderly person. Aim: The goal of the quantitative research was to roughly estimate the prevalence of depression among persons who live in houses for the elderly or similar institutions and to find the factors which influence the occurrence of depression. Methods: The sample of the elderly comprised 84 individuals who were intentionally chosen. The quantitative research was based on the use of the Geriatric Depression Scale (GDS). Other statistical tests were used to evaluate the influence of individual factors on the prevalence of depression among the elderly: Pearson's chi-squared test, Mann-Whitney U test, Kruskal-Wallis test and Spearman's correlation coefficient. Results: The GDS revealed depression in 28.6% of individuals in the tested sample. The appropriate statistical tests showed increased depression rates among the elderly who were lonely, widowed, suffering from chronic diseases or pain, and those with impaired cognitive thinking. Conclusion: Depression among individuals living in houses for the elderly or similar institutions is a grave and contemporary problem. The solution of this problem depends on the timely recognition of depression and analysis of factors which influence the prevalence of depression among the elderly.

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Section: Discussionmentioning

confidence: 99%

Factors affecting the incidence of depression in the elderly

Kabátová¹,

Uríčková²,

Botíková³

2014

Cent Eur J Nurs Midw

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“…Para complementar la significación, se calculó el tamaño del efecto de las diferencias. Para valorar la magnitud del efecto de la diferencia entre los porcentajes se utilizó la V de Cramer (V) cuyos valores dependen de los grados de libertad: gl 1 Para identificar las variables asociadas con la variable dependiente dicotómica (Depresión, No depresión), se realizó un análisis de regresión logística binaria con el método "Hacia atrás: Wald", introduciendo inicialmente las variables edad, género, estado civil, escolaridad, situación laboral, salud física, nivel de ejercicio, unidad doméstica, enfermedades crónicas, tipo de actividad, ingresos y dificultades en las AVD.…”

Section: Análisis Estadísticounclassified

“…Tiende a su cronificación y cursa con recaídas y recurrencias [1][2] . Muchos estudios han estimado la prevalencia en personas mayores, aunque las cifras son muy dispares, variando entre el 0,4-35% 3 .…”

Section: Introductionunclassified

Depresión y variables asociadas en personas mayores de 50 años en España

Portellano-Ortiz

Garré-Olmo

Calvó-Perxas

et al. 2018

Revista de Psiquiatría y Salud Mental

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“…Depression is prevalent in older adults, with rates of up to 45% in the institutionalised elderly (75,76). Depression is associated with weight loss and although the association between depression and nutritional status is multifactorial it is unclear if it is a cause and/or consequence of malnutrition in older residents (77)(78)(79)(80)(81).…”

Section: Psychosocial Consequencesmentioning

confidence: 99%