Psychological Factors Counteracting Dehydration in Older Adults in Care

2009 ◽  
Author(s):  
Ilka H. Gleibs
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brady Lund

Purpose This study aims to examine the potential impact of eleven social and psychological factors – anxiety, closeness with family and friends, intellectual curiosity, life control, life satisfaction, physical health, religiosity, self-esteem, sociability, socioeconomic status and works status and demands – on the use of digital technology by older adults for the purpose of communicating with family and friends. Design/methodology/approach A path analysis, which uses ordinary least squares regression to examine relationships among variables, is used to perform a secondary analysis of data from the 2018 Health and Retirement Study. A correlation matrix, which displays the direct relationships among variables, is also incorporated. Findings Statistically significant direct influences are revealed between the use of digital technology for communication and three factors: intellectual curiosity, self-esteem, and sociability. These three factors are themselves moderated by the influences of the remaining eight factors. While most factors relate to an increase in the adoption of social uses of digital technology, increased anxiety and increased work demands (for those who are employed) are related to decreased adoption, while increased religiosity has a mixed effect (reduced intellectual curiosity but increased sociability). These findings suggest a few avenues for identifying and intervening in the lives of physically and socially isolated older adults, by illuminating correlates of technology adoption. Originality/value While many studies have examined factors that correlate to increased technology adoption, this study is original in that it focuses specifically on the use of digital technology for communication with family and friends (i.e. use of email, messaging, social media) while also focusing on social and psychological factors (many of which can be changed through intervention) rather than innate and uncontrollable factors like age, gender and ethnicity.


2020 ◽  
Vol 2 (1) ◽  
pp. 45-59
Author(s):  
Indra Yohanes Kiling ◽  
Johana Endang Prawitasari

This research aims to determine the relationship between psychological and demographic factors, which are dispositional optimism, and self-efficacy are the psychological factors, meanwhile home, sex and ethnicity as the demographic factors of quality of life in the older adults. The major hypothesis of this research proposed that there are positive relationship from both psychological factors and demographic factors to the quality of life in older adults. This study involved 53 older adult peoples. The result of multiple regression analysis shows that there is a positive relationship from all five variables to the quality of life in older adults as big as 76,5% (Adjusted R2= 0,765). This result means that both the psychological and demographic factors do have effective contributions to the quality of life in older adult people. The results of t-tests are also discussed.


Author(s):  
Jiyeon Kim ◽  
Mikyong Byun ◽  
Moonho Kim

Background: Previous studies have proposed various physical tests for screening fall risk in older adults. However, older adults may have physical or cognitive impairments that make testing difficult. This study describes the differences in individual, physical, and psychological factors between adults in good and poor self-rated health statuses. Further, we identified the physical or psychological factors associated with self-rated health by controlling for individual variables. Methods: Data from a total of 1577 adults aged 65 years or over with a history of falls were analyzed, using the 2017 National Survey of Older Persons in South Korea. Self-reported health status was dichotomized as good versus poor using the 5-point Likert question: “poor” (very poor and poor) and “good” (fair, good, and very good). Results: Visual/hearing impairments, ADL/IADL restriction, poor nutrition, and depression were more frequently observed in the group with poor self-rated health. Multivariable logistic regression revealed that poor self-reported health was significantly associated with hearing impairments (OR: 1.51, 95% CI 1.12–2.03), ADL limitation (OR: 1.77, 95% CI 1.11–2.81), IADL limitation (OR: 2.27, 95% CI 1.68–3.06), poor nutrition (OR: 1.36, 95% CI 1.05–1.77), and depression (OR 3.77, 95% CI 2.81–5.06). Conclusions: Auditory impairment, ADL/IADL limitations, poor nutrition, and depression were significantly associated with poor self-reported health. A self-rated health assessment could be an alternative tool for older adults who are not able to perform physical tests.


2019 ◽  
Vol 47 (11) ◽  
pp. 5465-5474 ◽  
Author(s):  
Pan Liu ◽  
Yaxin Zhang ◽  
Lina Ma

Telomeres and telomerase play important roles in the occurrence and development of hypertension. This review was performed to clarify the factors that influence telomere length and telomerase activity in older patients and elucidate the association of these factors with hypertension. A PubMed search and critical review of studies assessing the risk factors underlying the association of hypertension with telomere length and telomerase activity was performed. Telomere length and telomerase activity were found to be associated with hypertension. The factors that influence telomere length and telomerase activity in older patients with hypertension include genetics, demographics, social and environmental factors, chronic disease, psychological factors, and antihypertensive drug treatment. A better understanding of the molecular mechanisms underlying the association of hypertension with telomere length and telomerase activity may help to reduce the incidence of hypertension.


Author(s):  
Hyerang Kim ◽  
Heesook Son

Older adults with diabetes appear more susceptible to fatigue compared to younger adults with diabetes or healthy older adults, since aging and diabetes independently and synergistically influence fatigue. Few studies have investigated fatigue in older adults with diabetes using a multidimensional approach. This study explored the influences of physical, psychological, interpersonal, and contextual factors on diabetes fatigue using a dynamic biopsychosocial model. Face-to-face surveys were administered to community-dwelling older adults with diabetes and included variables across four domains (i.e., physical, psychological, interpersonal, and contextual factors). Univariate analyses and multiple linear regression were used. The mean fatigue score was 3.94 (standard deviation (SD) = 1.81) out of 7, and the prevalence of fatigue was 48.8%. Significant differences in fatigue severity by psychological, interpersonal, and contextual factors were found. Comorbidity and psychological factors were significant predictors of fatigue in the model, explaining 31.9% of the variance. As nearly half the sample experienced moderate or severe fatigue, which was significantly influenced by both comorbidity and psychological factors, including depression, sleep quality, and diet-related psychological characteristics, assessing patients’ psychological status may be important. Awareness of fatigue could be incorporated into dietary interventions for older adults with diabetes.


Gerontology ◽  
2017 ◽  
Vol 63 (5) ◽  
pp. 443-459 ◽  
Author(s):  
Nanna Notthoff ◽  
Peter Reisch ◽  
Denis Gerstorf

Background: People aged 50 years and older are regularly identified as the most sedentary group in the population. However, even within this group, there are considerable interindividual variations in physical activity (PA) levels. They have been the subject of many studies. Based on single studies, no clear picture as to which characteristics are important has emerged. Objective: The goal of our contribution was to identify which individual characteristics are consistently linked to high PA levels in older adults. Methods: We conducted a systematic review of the literature considering demographic characteristics (gender, education, marital status, employment), health (subjective, health problems), and psychological factors (motivation, self-efficacy, locus of control). A systematic search of abstracts in the database Web of Science and a thorough screening process according to a priori specified criteria yielded 63 studies for inclusion in this review. Results: Two psychological factors - motivation and self-efficacy - and the perception of one's health seem to be consistently linked to higher PA levels in older adults. Selected demographic variables - gender and education - may be important for some types of PA. Conclusion: Our review suggests that differentiation of PA by domains is important for identifying and understanding which individual characteristics are associated with PA levels and how. Pinpointing what reliably distinguishes older adults who are active from those who are not is essential for designing effective interventions to promote PA in later life.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S419-S419
Author(s):  
Richard H Fortinsky

Abstract Many older adults fail to resume optimal community living after hip fracture due to sustained limitations in ambulation capacity, yet reasons remain poorly understood. Roles of psychological factors in affecting ambulation performance post-hip fracture remain particularly understudied; depression has been associated with poorer self-reported functional status, and little is known about self-perceived balance confidence, resilience, and optimism. This presentation reports associations between each psychological factor, measured at CAP baseline, and gait speed and walking endurance, measured at baseline and 16 weeks later. In the CAP cohort (N=210), baseline mean/sd 4-meter gait speed (gs), 50-foot walk gs, and 6-minute walk distance were: 0.60/0.19 meters per second (mps); 0.67/0.20 mps; and 186.9/55.4 meters, respectively. In multivariate models, balance confidence was positively associated with all baseline ambulation measures (p<0.001 in all models), and resilience was positively associated with all 16-week follow-up ambulation measures (p>0.05 in all models). Implications of results will be discussed.


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