Abstract:Background: Depression is a growing public health challenge in India due to increase in the population of elderly and drastic changes in the socio-cultural environment. There is a dearth of information regarding depression among elderly patients attending primary health care setting in rural India. Hence present study was undertaken.Methods:Data was collected from seventy five elderly patients attending a preventive geriatric clinic in a rural health training centre with the help of pre-tested, semi-structured… Show more
The world's population has been evolving rapidly; every country in the world is facing this drastic progression in the number and the percentage of the elderly in their net population. As the chronological age advances, physiological and psychosocial decline will be evident among all older adults. The potentially relevant literature was identified using appropriate search terms in electronic databases such as PubMed MEDLINE, Scopus, ProQuest, Web of Science, CINAHL, IndMed, and Google Scholar. Articles published from 2006 to 2019, reported the prevalence and the risk factors for depression among older adults living in the community, old age homes, or hospitals of the South Asian countries. Articles were published in the languages other than English and those reporting the categorised or mean depressive scores were excluded from the review. After quality check for all the retrieved articles from different databases, 120 articles were included for the meta‐analysis. The data were extracted based on a validated data extraction form, and the reviewer contacted the authors for clarification of the missing data whenever required. The estimates were pooled using the random effect model for meta‐analyses. Sub‐group and sensitivity analyses were also performed. The overall pooled estimate (random effect models) of the prevalence of depression among the elderly was 42.0% (95% CI: 0.38–0.46), Chi‐squared P‐value <0.001, and I2 99.14%. The pooled estimate of the prevalence was higher in the community settings than the old age homes (44.0%; 95% CI: 39.0–49.0 vs. 42.0%; 95% CI: 34.0–49.0). Depression is a common problem among the elderly population and the pooled estimate of depression would give directions to the healthcare providers, policymakers, and future researchers to plan some measures (either pharmacological or non‐pharmacological interventions) to effectively tackle the burden of geriatric depression in the future.
The world's population has been evolving rapidly; every country in the world is facing this drastic progression in the number and the percentage of the elderly in their net population. As the chronological age advances, physiological and psychosocial decline will be evident among all older adults. The potentially relevant literature was identified using appropriate search terms in electronic databases such as PubMed MEDLINE, Scopus, ProQuest, Web of Science, CINAHL, IndMed, and Google Scholar. Articles published from 2006 to 2019, reported the prevalence and the risk factors for depression among older adults living in the community, old age homes, or hospitals of the South Asian countries. Articles were published in the languages other than English and those reporting the categorised or mean depressive scores were excluded from the review. After quality check for all the retrieved articles from different databases, 120 articles were included for the meta‐analysis. The data were extracted based on a validated data extraction form, and the reviewer contacted the authors for clarification of the missing data whenever required. The estimates were pooled using the random effect model for meta‐analyses. Sub‐group and sensitivity analyses were also performed. The overall pooled estimate (random effect models) of the prevalence of depression among the elderly was 42.0% (95% CI: 0.38–0.46), Chi‐squared P‐value <0.001, and I2 99.14%. The pooled estimate of the prevalence was higher in the community settings than the old age homes (44.0%; 95% CI: 39.0–49.0 vs. 42.0%; 95% CI: 34.0–49.0). Depression is a common problem among the elderly population and the pooled estimate of depression would give directions to the healthcare providers, policymakers, and future researchers to plan some measures (either pharmacological or non‐pharmacological interventions) to effectively tackle the burden of geriatric depression in the future.
“…Depression can affect people from all backgrounds across the life course; however, it is more pronounced in older people [ 6 ]. The Elderly are more prone to psychological disturbances due to natural age-related decline in physiological functioning, leading to severe depression [ 48 ]. Currently, geriatric depression is a growing concern in India due to an increase in the proportion of the elderly population.…”
“…2 Old age is a period when individuals lose status, the risk of addiction and accidents increase, physical abilities decrease, health deteriorates, and chronic diseases increase, social problems such as retirement and loss of productivity rise. 3 In this period, individuals undergo physical, social and emotional changes. 4 However, the problem of stress and harmony when individuals will face these changes is not only about the event itself, but also about how individuals themselves interpret all these experiences and what kind of meanings they attribute to these.…”
Section: Introductionmentioning
confidence: 99%
“…4 However, the problem of stress and harmony when individuals will face these changes is not only about the event itself, but also about how individuals themselves interpret all these experiences and what kind of meanings they attribute to these. 3,5 Old age is a period in which diseases are experienced intensely, and inpatient services are frequently used. 6 Additionally, the elderly population has a higher frequency of hospitalisation than other groups.…”
Background
Stress can threaten the health and recovery of patients, and determining the level of stress can be an important factor in curing illnesses. The aim was to adapt the Hospitalisation‐Related Stressors Questionnaire for Elderly Patients (HRSQ‐EP) and perform its psychometric evaluation.
Methods
In the study, the method of developing a scale and determining the construct validity and reliability of this scale was used. The research was carried out with elderly patients who were hospitalised. The research was conducted in two main phases; in the first phase, after providing expert opinion for the language validity of the scale, the content and face validity were confirmed and then confirmatory and exploratory factor analyses were applied for content validity and reliability in the second phase.
Results
The new scale, which was formed as a result of evaluating the construct validity, consisted of three factors and 15 items, and all factors explained 67.1% of the total variance. Kaiser‐Meyer‐Olkin, which determined the suitability of the measurement tool for factor analysis, was determined as 0.901 and Bartlett test 0.000. The adapted short form is a simple and easy‐to‐understand tool for determining the stress levels of hospitalised elderly individuals. HRSQ‐EP provided evidence that it demonstrates adequate internal consistency, reliability and construct validity.
Conclusion
The results suggested that the adapted measurement tool will be useful. The scale is recommended to be evaluated in different populations to determine cultural differences.
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