Quality of Life for Elderly Residents in Nursing Homes

Farzianpour, Fereshteh; Foroushani, Abbas Rahimi; Badakhshan, Abbas; Gholipour, Mahin; Roknabadi, Esmaeil Hosseinzadeh

doi:10.5539/gjhs.v8n4p127

Cited by 21 publications

(26 citation statements)

References 19 publications

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“…Suzana and Charn (2009) also noted that the prevalence of depression among elderly in their study was higher than those reported by Visvanathan et al (2005) who found that 65.0% of elderly people in institutions in Peninsular Malaysia were depressed. Furthermore, it was three to four times higher than the rate observed by Farzianpour et al (2012) among community-dwelling elderly.…”

Section: Introductionmentioning

confidence: 62%

“…Its prevalence among elderly people is common, but it often has been under diagnosed and frequently has been inadequately treated (Kim et al, 2009;Eshagi et al, 2006;Farzianpour et al, 2012). Globally, the prevalence of depression among elderly is 10-15.0% due to such issues as lack of transportation, loss of employment, loss of friends and acquaintances, loss of loved ones, isolation, bereavement and the existence of a variety of health problems (Krishnaswamy, 1997;Blazer and Hybels, 2005;Onya and Stanley, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies had examined depression in the general community, but studies of depression in the elderly, particularly those who are living in institution, are generally limited (Majdi et al, 2011;Farzianpour et al, 2012;Pereira et al, 2012;Onya and Stanley, 2013). It has been reported that the level of depression among the elderly in sheltered accommodation or residential care is higher than those of community residing elderly (Kim et al, 2009;Majdi et al, 2011;Jampawai et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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The Prevalence of Depression and Its Risk Factors Among Malay Elderly in Residential Care

Normala¹,

Azlini²,

Nurul³

et al. 2014

American Journal of Applied Sciences

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The motivation for the study is to improve the quality of life for elderly in residential care particularly the mental health aspect. Hence, the aim of this study is to examine the prevalence of depression and to identify risk factors related to depression among Malay elderly in residential care. Changes in social structure and economic status have shifted the direction of care for elderly people, as the value of filial piety has gradually declined among the modern Malays. The researchers hypothesized that the level of depression among institutionalized Malay elderly people is high. Altogether, 98 of Malay elderly (men 41.8%, women 58.2%) participated in this study from eight residential cares in Peninsular Malaysia. They were chosen according to the following criteria: Malay ethnic, aged 60 years and above, able to communicate and with no severe mental and/or physical health problem. The Geriatric Depression Scale (GDS-30) was used to assess depression among the elderly. Overall, the study found that 70.4% of the Malay elderly in the residential care were diagnosed with depression, where 39.8% had mild depression and 30.6% were suffered from major depression. Five factors were identified as the high risk factors of depression among the Malay elderly i.e., sadness, helplessness, isolation, loneliness and loss of interest in activities (76.8-86.9%). As a conclusion, the prevalence of depression among the Malay elderly in the present study is high. Besides arranging a regular program on screening for depression, it is also important for the residential care providers to create and organize special activities for the elderly in order to reduce them from the risk factors of depression. They should be ensured to have a healthier and happier life at the institutions, if the residential care providers would like to increase the elderly mental health status.

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Section: Introductionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Prevalence of Depression and Its Risk Factors Among Malay Elderly in Residential Care

Normala¹,

Azlini²,

Nurul³

et al. 2014

American Journal of Applied Sciences

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show abstract

“…It was observed in this study that, although they do not develop work activities, most the elderlies develop other types of activities in their daily life. On the other hand, evidence suggests significant associations between the Mental Health dimension of QOL and the employment status (P = 0.005) [27], becoming a matter of concern, since it reveals its influence in QOL, and may be related to the lower percentage of QOL attributed to the mental health dimension in this study.…”

Section: Discussionmentioning

confidence: 61%

“…This study, which included 349 elderly people in a self-training program in Masjed Sulaiman, aimed at generating behavioral changes related specially to balanced diet, physical activity and self-care through lectures and demonstrations, observed improvement in all dimensions of QOL with statistical significance after training (p <0.001) as measured by SF-36 [32].…”

Section: Discussionmentioning

confidence: 99%

Changes in the quality of life of an elderly group of the family health strategy

Costa¹,

Torres²,

Oliveira³

et al. 2016

Int Arch Med

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Background: To analyze the quality of life of a group of elderly people enrolled in the Family Health Strategy of the Igapó neighborhood, in the city of Natal, Rio Grande do Norte, Brazil.Methods: This is a longitudinal study with a quantitative approach.The process of data collection occurred in two different moments. The instruments used to collect data were: "Questionnaire on sociodemographic data" and the "Brazilian Version of the Short Form-36 Quality of Life Questionnaire (SF-36)."Results: It was verified that most of them were women, with low purchasing power and low education level. There was a predominance of unmarried elderly individuals who did not perform work activities. Higher scores were identified for the emotional, physical and mental domains. In the first collection, lower scores regarding the general state of health and pain were observed. There were better percentages of improvement in the areas of General Health Status, Body Pain and Social Function and Physical Health dimension. The activities developed in the coexistence group together with the elderly were classified as educational, physical/functional and commemorative. Conclusion:This study showed higher scores in the physical, functional and mental aspects, where the autonomy of the elderly is directly related, reflecting an active aging favoring a better quality of life.

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The Hidden Toll of Psychological Distress in Australian Adults and Its Impact on Health-Related Quality of Life Measured as Health State Utilities

ul Husnain,

Hajizadeh,

Ahmad

et al. 2024

Appl Health Econ Health Policy

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Background Psychological distress (PD) is a major health problem that affects all aspects of health-related quality of life including physical, mental and social health, leading to a substantial human and economic burden. Studies have revealed a concerning rise in the prevalence of PD and various mental health conditions among Australians, particularly in female individuals. There is a scarcity of studies that estimate health state utilities (HSUs), which reflect the overall health-related quality of life in individuals with PD. No such studies have been conducted in Australia thus far. Objective We aimed to evaluate the age-specific, sex-specific and PD category-specific HSUs (disutilities) in Australian adults with PD to inform healthcare decision making in the management of PD. Methods Data on age, sex, SF-36/SF6D responses, Kessler psychological distress (K10) scale scores and other characteristics of N = 15,139 participants ( n = 8149 female individuals) aged >15 years were derived from the latest wave (21) of the nationally representative Household, Income and Labor Dynamics in Australia survey. Participants were grouped into the severity categories of no (K10 score: 10–19), mild (K10: 20–24), moderate (K10: 25–29) and severe PD (K10: 30–50). Both crude and adjusted HSUs were calculated from participants’ SF-36 profiles, considering potential confounders such as smoking, marital status, remoteness, education and income levels. The calculations were based on the SF-6D algorithm and aligned with Australian population norms. Additionally, the HSUs were stratified by age, sex and PD categories. Disutilities of PD, representing the mean difference between HSUs of people with PD and those without, were also calculated for each group. Results The average age of individuals was 46.130 years (46% male), and 31% experienced PD in the last 4 weeks. Overall, individuals with PD had significantly lower mean HSUs than those likely to be no PD, 0.637 (95% confidence interval [CI] 0.636, 0.640) vs 0.776 (95% CI 0.775, 0.777) i.e. disutility: −0.139 [95% CI −0.139, −0.138]). Mean disutilities of −0.108 (95% CI −0.110, −0.104), −0.140 (95% CI −0.142, −0.138), and −0.188 (95% CI −0.190, −0.187) were observed for mild PD, moderate PD and severe PD, respectively. Disutilities of PD also differed by age and sex groups. For instance, female individuals had up to 0.049 points lower mean HSUs than male individuals across the three classifications of PD. There was a clear decline in health-related quality of life with increasing age, demonstrated by lower mean HSUs in older population age groups, that ranged from 0.818 (95% CI 0.817, 0.818) for the 15–24 years age group with no PD to 0.496 (95% CI 0.491, 0.500) for the 65+ years age group with severe PD). Across all ages and genders, respondents were more likely to report issues in certain dimensions, notably vitality, and the...

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Quality of Life for Elderly Residents in Nursing Homes

Cited by 21 publications

References 19 publications

The Prevalence of Depression and Its Risk Factors Among Malay Elderly in Residential Care

The Prevalence of Depression and Its Risk Factors Among Malay Elderly in Residential Care

Changes in the quality of life of an elderly group of the family health strategy

The Hidden Toll of Psychological Distress in Australian Adults and Its Impact on Health-Related Quality of Life Measured as Health State Utilities

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