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\"Ensure the most effective wellness-oriented nursing care for older adults--in any healthcare setting. Confidently deliver wellness-oriented care for older adults across a changing healthcare environment with the latest evidence-based coverage of gerontological nursing. Comprehensively revised and updated, Nursing for Wellness in Older Adults, Eighth Edition fosters your understanding of both the physiologic and psychosocial aspects of aging, as well as broader issues of cultural competence, legal matters, and ethical concerns. Organized around the author's proven Functional Consequences Theory for Promoting Wellness in Older Adults, this trusted text focuses on equipping you to work proactively with older adults to promote high levels of functioning and quality of life, despite the limitations associated with aging, disease, and related conditions. Technology to Promote Wellness in Older Adults boxes familiarize you with technology-based interventions for promoting wellness in older adults. Interprofessional Collaboration (IPC) coverage emphasizes strategies for working with other healthcare professionals in managing care of older patients. Global Perspective boxes illustrate proven international approaches to quality gerontological nursing. Unfolding Patient Stories authored by the National League for Nursing challenge you to apply your understanding to realistic patient scenarios. A Transitional Care Unfolding Case Study helps you manage a patient requiring care across a variety of healthcare settings. Case Studies (both multipart and standalone) encourage you to apply nursing theory to real-life situations. Quality and Safety Education in Nursing (QSEN) examples help you apply knowledge and skills to care plans for unfolding cases. Assessment, Intervention, Evidence-Based Practice, Cultural Considerations, Diversity Note, and Caregiver Wellness boxes detail helpful approaches and tools for effective wellness-oriented nursing practice. Online Learning Activities point readers to the book's companion web page to access related resources, articles, and evidence-based guidelines.\" -- Provided by publisher.

Purpose of Review We review non-pharmacological and pharmacological approaches to managing behavioral and psychological symptoms of dementia (BPSD). We examine methods for assessment and evidence for interventions, focusing on recent findings and innovations. Finally, we recommend an algorithm for management of BPSD. Recent Findings Training of formal caregivers is the most effective intervention for BPSD; other non-pharmacological interventions are also beneficial. Antidepressants and antipsychotics remain a mainstay of pharmacological treatment for BPSD. There is limited evidence supporting the use of stimulants, cognitive enhancers, dextromethorphan/quinidine, benzodiazepines, anticonvulsants, and pimavanserin. Summary The management of BPSD is highly individualized. Following thorough assessment, the initial step is addressing contributing medical problems. Non-pharmacological interventions should be tried prior to pharmacological interventions. Antipsychotics should be prescribed only when behaviors pose a significant safety risk or if the person with dementia is very distressed. New approaches will be needed to address an increasing population of people with dementia.

ABSTRACTBackgroundOlder persons are particularly vulnerable to loneliness because of common age-related changes and losses. This paper reviews predictors of loneliness in the older population as described in the current literature and a small qualitative study. MethodsPeer-reviewed journal articles were identified from psycINFO, MEDLINE, and Google Scholar from 2000–2012. Overall, 38 articles were reviewed. Two focus groups were conducted asking older participants about the causes of loneliness. ResultsVariables significantly associated with loneliness in older adults were: female gender, non-married status, older age, poor income, lower educational level, living alone, low quality of social relationships, poor self-reported health, and poor functional status. Psychological attributes associated with loneliness included poor mental health, low self-efficacy beliefs, negative life events, and cognitive deficits. These associations were mainly studied in cross-sectional studies. In the focus groups, participants mentioned environmental barriers, unsafe neighborhoods, migration patterns, inaccessible housing, and inadequate resources for socializing. Other issues raised in the focus groups were the relationship between loneliness and boredom and inactivity, the role of recent losses of family and friends, as well as mental health issues, such as shame and fear. ConclusionsFuture quantitative studies are needed to examine the impact of physical and social environments on loneliness in this population. It is important to better map the multiple factors and ways by which they impact loneliness to develop better solutions for public policy, city, and environmental planning, and individually based interventions. This effort should be viewed as a public health priority.

This study aims to address the knowledge gap and summarise the measurement for intrinsic capacity for the five WHO domains across different populations. It specifically aims to identify measurement tools, methods used for computation of a composite intrinsic capacity index and factors associated with intrinsic capacity among older adults. We performed literature review in Medline, including search terms “aged” or “elderly” and “intrinsic capacity” for articles published from 2000–2020 in English. Studies which assessed intrinsic capacity in the five WHO domains were included. Information pertaining to study setting, methods used for measuring the domains of intrinsic capacity, computation methods for composite intrinsic capacity index, and details on tool validation were extracted. Seven articles fulfilling the inclusion criteria were included in the review. Of these, the majority were conducted in community settings (n=5) and were retrospective studies (n=6). The most commonly used tools for assessing intrinsic capacity were gait speed test and chair stand test (locomotion); handgrip-strength and mini-nutritional assessment (vitality); Mini-Mental State Examination (cognition); Geriatric Depression Scale (GDS) and Center for Epidemiological Studies Depression Scale (CES-D) (psychological), and self-reported vision and health questionnaires (sensory). Among the tools used to operationalise the domains, we found variations and non-concordance, especially in the vitality and psychological domains, which make inter-study comparison difficult. Validated scales were less commonly used for vitality and sensory domains. Biomarkers were used for locomotion, vitality, and sensory domains. Self-reported measures were mostly used in the psychological and sensory domains. Three studies operationalised a global score for intrinsic capacity, whereby scores from the individual domains were used to create a composite intrinsic capacity index, using two approaches: a) Structural equation modelling, and b) Sub-scores for each domain which were combined either by arithmetic sum or average. We identified considerable variations in measurement instruments and processes which are used to assess intrinsic capacity, especially among the vitality and psychological domains. A standardized intrinsic capacity composite score for clinical or community settings has not been operationalised yet. Further validation via prospective studies of the intrinsic capacity concept and computation of composite score using validated scales are needed.

ABSTRACTBackgroundAs life expectancies continue to rise, modifiable lifestyle factors that may prevent cognitive decline and dementia in later life become increasingly important in order to maintain quality of life in old age. MethodsFive meta-analyses were conducted on data from papers identified in a systematic review. Studies were grouped according to outcomes (dementia, cognitive impairment including amnestic Mild Cognitive Impairment (aMCI), Mild Cognitive Impairment (MCI), and cognitive decline) and output (risk (RR), odds (OR), or hazard ratios (HR)). ResultsNineteen studies met our inclusion criteria and quality assessments. Four of five meta-analyses showed significant associations between participation in cognitive leisure activities and reduced risk of cognitive impairment (OR = 0.69, 95% CI: 0.56–0.85) and dementia (HR = 0.58, 95% CI: 0.46–0.74; RR = 0.61, 95% CI: 0.42–0.90; OR = 0.78, 95% CI: 0.67–0.90). However, one pooled analysis of cognitive impairment studies did not reach significance (HR = 0.85, 95% CI: 0.71–1.02). Mentally stimulating leisure activities were significantly associated with later life cognition (β = 0.11, p = 0.05), better memory (β = 0.20, 95% CI: 0.11–0.29), speed of processing (β = 0.37, 95% CI: 0.29–0.45), and executive functioning (β = 0.23, 95% CI: 0.15–0.29), and less decline in overall cognition (β = −0.23, p < 0.01), language (β = −0.11, p < 0.05), and executive functioning (β = −0.13, p < 0.05). Activities were also shown to reduce rate of cognitive decline (estimate = 0.03, SE = 0.01, p = 0.00). ConclusionsThere is increasing evidence that participation in cognitively stimulating leisure activities may contribute to a reduction of risk of dementia and cognitive impairment in later life. Promoting involvement in such activities across lifespan could be an important focus for primary prevention strategies for governments and health services.

This meta-analysis examined the prevalence of depression and burden among informal care-givers of people with dementia (PwD) and compared the prevalence of depression between male and female, and spousal and non-spousal, care-givers. The quality of studies was evaluated and moderator variables explored. A search of six electronic databases (PsycARTICLES, PsycINFO, MEDLINE Complete, SCOPUS, Web of Science and ProQuest) was conducted from the first available date to the 31 October 2017. Inclusion criteria involved observational studies on the prevalence of burden or depression among informal care-givers of PwD. Forty-three studies were examined with a total of 16,911 participants. The adjusted pooled prevalence of depression was 31.24 per cent (95% confidence interval (CI) = 27.70, 35.01) and burden was 49.26 per cent (95% CI = 37.15, 61.46), although heterogeneity among prevalence estimates was high. Depression prevalence estimates differed according to the instrument used and the continent where the study was conducted. The odds of having depression were almost one and a half times higher in female compared to male care-givers. No significant difference was observed between spouses and non-spouses. Most studies had a medium risk of bias. Results suggest a great need within this population for interventions that are effective at reducing burden and depressive symptoms. It therefore appears imperative for dementia services that are not providing such interventions to do so.

Background Late-life depression (LLD) is considered as a prodrome to dementia and plays a major role in the development of long-term cognitive disabilities. We aimed to estimate the prevalence and correlates of LLD and cognitive impairment and to explore their associations among older adults in India. Methods Data for this study was derived from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017-18). The total sample included 31,464 (15,098 male and 16,366 female) older individuals aged 60 years and above. Cognitive impairment measured from various domains derived from the cognitive module of the Health and Retirement Study (HRS), and major depression measured by the CIDI-SF (Composite International Diagnostic Interview- Short Form) were the outcome variables. Descriptive, bivariate, and multivariable analyses were performed to fulfill the objectives of the study. Results The overall prevalence of LLD and cognitive impairment for the current sample was 8.7% and 13.7 % respectively. Among older individuals who have rated their health status as poor were 2.59 times more likely to suffer from LLD [OR: 2.59, CI: 2.24–2.99] as compared to their counterparts. The older adults who had difficulty in activities of daily living (ADL) and instrumental activities of daily living (IADL) were 74% and 69 % more likely to suffer from LLD. Similarly, older adults who were depressed had higher odds of cognitive impairment [OR: 1.22, CI: 1.01–1.48] compared to their counterparts. Also, older adults who were depressed and belonged to rural areas were 2.58 times [AOR: 2.58, CI: 1.95–3.41] more likely to be cognitively impaired than those who were not depressed and resided in urban areas. Conclusions Depression is linked to an increased risk of cognitive decline and dementia; therefore, failing to diagnose and treat LLD in later life may have significant health implications. Moreover, treatment under the care of a cognitive neurologist or geriatric psychiatrist is recommended for people with LLD and cognitive disability due to both the disorders' complex existence.

Maintaining or improving quality of life (QoL) is a key outcome of clinical interventions in older people. Fear of falling (FoF) is associated with activity restriction as well as with poorer physical and cognitive functions and may be an important contributor to a diminished QoL. The objectives of this systematic review were to determine i) the effect of FoF on QoL in older people, ii) whether the association between these two constructs depends on the use of specific conceptualizations and measurement instruments, and iii) the role of fall events as mediating factor in this relationship. Four electronic databases (PubMed, EMBASE, CINAHL, and Cochrane Library) were searched from their inceptions to February 2018. Thirty mostly cross-sectional studies in nearly 30.000 people (weighted mean age 75.6 years (SD =6.1); 73% women) were included. FoF was associated with QoL in most studies, and this association appeared to be independent of the conceptualization of FoF. Moreover, this relationship was independent of falls people experienced which seemed to have a lower impact. FoF should be considered not only as by-product of falls and targeted interventions in parts different from those to reduce falls are likely required. Studies are needed showing that reducing FoF will lead to increased QoL.