P.1.k.013 Predictors of subjective successful aging in community-dwelling elderly: Comparing elders living alone and those living with others

2015 ◽  
Vol 25 ◽  
pp. S360-S361
Author(s):  
I. Shin ◽  
H. Baek ◽  
H. Shin ◽  
J. Kim ◽  
S. Kim ◽  
...  
Keyword(s):  
Successful Aging ◽  
Community Dwelling ◽  
Living Alone ◽  
Aging In Community

Successful Aging as a Predictor of Long-Term Care Among Oldest Old: The Vitality 90+ Study

2017 ◽  
Vol 38 (4) ◽  
pp. 553-571 ◽  
Author(s):  
Lily Nosraty ◽  
Jutta Pulkki ◽  
Jani Raitanen ◽  
Linda Enroth ◽  
Marja Jylhä
Keyword(s):  
Successful Aging ◽  
Long Term Care ◽  
Oldest Old ◽  
Community Dwelling ◽  
Living Alone ◽  
Finnish Population ◽  
Term Care ◽  
Social Components ◽  
The Impact

Aim: The aim of the study was to investigate whether successful aging (SA) predicts entering long-term care (LTC) among nonagenarians. Methods: Data originated from the linkage of the Vitality 90+ Study surveys with register data from Finnish Population Register and Care Registers. Altogether 1,966 community-dwelling individuals were followed for 2 years and 1,354 individuals for 5 years. Four models of SA were constructed by varying combinations of physical, psychological, and social components. Competing risk regression analysis was used. Findings: The incidence rate for entering LTC was lower for successful agers. Three models of SA presented a significantly decreased risk for entering LTC in the whole group and in women. The impact of SA was attenuated when living alone, needing help, and the year of participation were adjusted for, but was still significant for Model 3. Conclusion: Nonagenarians who meet the multidimensional criteria of SA are less likely to enter LTC than those aging less successfully.

scholarly journals THE EFFECTS OF SOCIAL NETWORK ON RESILIENCE OF COMMUNITY-DWELLING OLDER ADULTS LIVING ALONE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S907-S908
Author(s):  
Sangmi Park ◽  
Tae Hui Kim ◽  
Soyeon Choi ◽  
Kyuwon Lee ◽  
Jisoo Jung ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Successful Aging ◽  
Health Care Service ◽  
Community Dwelling ◽  
Living Alone ◽  
Public Health Care ◽  
Emotional Status

Abstract Resilience is one of the components for successful aging and is related to wellbeing in late life. Studies have shown that older people living alone have low resilience. However, most of these studies were mainly conducted on unhealthy participants. The aim of this study is to examine the factors that contribute to resilience of healthy older adults living alone. Older people living alone who are not subject to public health care service provided to the economically or physically challenged or depressed people were recruited. Data collected from 295 participants were used to conduct hierarchical multiple regression analyses, controlling demographic characteristics, level of cognitive and physical functions, and emotional status. A self-reported questionnaire, UCLA Loneliness Scale, Lubben Social Network Scale(LSNS), and Multidimensional Individual and Interpersonal Resilience Measure(MIIRM) were used to measure study variables. A hierarchical model accounted for 48.8% of the variance in resilience. In model 1(demographics), the religion(β=.178, p<.001) and the perceived economic status(β=-.176, p<.001) variables were significantly related to resilience. The subjective health(β=-.109, p=.038) in model 2(level of function) and the loneliness(β=-.379, p<.001) in model 3(emotional status) had a significant effect on resilience. In model 4, the size(β=-.115, p=.029) and the frequency(β=.160, p=.003) of social networks significantly predicted resilience. The results showed that protecting older adults’ social networks could lead to promote their health and wellbeing. What can be inferred from this finding is that even though the members are small, the social network they often have contact with is important for the resilience of older adults living alone.

scholarly journals Study of potentially preventable hospitalisations (PPH) for chronic conditions: what proportion are preventable and what factors are associated with preventable PPH?

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e038415
Author(s):  
Jennifer Johnston ◽  
Jo Longman ◽  
Dan Ewald ◽  
Jonathan King ◽  
Sumon Das ◽  
...  
Keyword(s):  
Chronic Conditions ◽  
Hospital Admissions ◽  
Medication Management ◽  
Community Dwelling ◽  
Living Alone ◽  
Chronic Obstructive ◽  
Discharge Diagnosis ◽  
Obstructive Pulmonary Disease ◽  
Factors Associated ◽  
Study Sites

IntroductionThe proportion of potentially preventable hospitalisations (PPH) which are actually preventable is unknown, and little is understood about the factors associated with individual preventable PPH. The Diagnosing Potentially Preventable Hospitalisations (DaPPHne) Study aimed to determine the proportion of PPH for chronic conditions which are preventable and identify factors associated with chronic PPH classified as preventable.SettingThree hospitals in NSW, Australia.ParticipantsCommunity-dwelling patients with unplanned hospital admissions between November 2014 and June 2017 for congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes complications or angina pectoris. Data were collected from patients, their general practitioners (GPs) and hospital records.Outcome measuresAssessments of the preventability of each admission by an Expert Panel.Results323 admissions were assessed for preventability: 46% (148/323) were assessed as preventable, 30% (98/323) as not preventable and 24% (77/323) as unclassifiable. Statistically significant differences in proportions preventable were found between the three study sites (29%; 47%; 58%; p≤0.001) and by primary discharge diagnosis (p≤0.001).Significant predictors of an admission being classified as preventable were: study site; final principal diagnosis of CHF; fewer diagnoses on discharge; shorter hospital stay; GP diagnosis of COPD; GP consultation in the last 12 months; not having had a doctor help make the decision to go to hospital; not arriving by ambulance; patient living alone; having someone help with medications and requiring help with daily tasks.ConclusionsThat less than half the chronic PPH were assessed as preventable, and the range of factors associated with preventability, including site and discharge diagnosis, are important considerations in the validity of PPH as an indicator. Opportunities for interventions to reduce chronic PPH include targeting patients with CHF and COPD, and the provision of social welfare and support services for patients living alone and those requiring help with daily tasks and medication management.

scholarly journals Several frailty parameters highly prevalent in middle age (50–65) are independent predictors of adverse events

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lauriane Segaux ◽  
Amaury Broussier ◽  
Nadia Oubaya ◽  
Claire Leissing-Desprez ◽  
Marie Laurent ◽  
...  
Keyword(s):  
Adverse Events ◽  
Middle Age ◽  
Executive Dysfunction ◽  
Community Dwelling ◽  
Living Alone ◽  
Middle Aged ◽  
Cross Sectional ◽  
Balance Impairment ◽  
Logistic Regression Models ◽  
Paris Area

AbstractAlthough frailty can arise in middle age, very few studies have investigated frailty before 65 years. Our objectives were to assess the prevalence of frailty parameters in middle-aged individuals and probe the association with future adverse events. We performed cross-sectional and longitudinal analyses of community-dwelling individuals aged 50 to 65 (n = 411, median age: 59.0) having undergone a multidomain geriatric assessment (2010–2015) in an outpatient clinic in the greater Paris area of France (SUCCEED cohort). The primary outcome was a composite measure of adverse events (non-accidental falls, fractures, unplanned hospitalizations, death), recorded in 2016/2017. Multivariable logistic regression models were built to identify independent predictors. Six frailty parameters were highly prevalent (> 20%): low activity (40.1%), exhaustion (31.3%), living alone (28.5%), balance impairment (26.8%), weakness (26.7%), and executive dysfunction (23.2%). Female sex (odds ratio: 2.67 [95% confidence interval: 1.17–6.11]), living alone (2.39 [1.32–4.33]), balance impairment (2.09 [1.16–3.78]), executive dysfunction (2.61, [1.18–5.77]), and exhaustion (2.98 [1.65–5.39]) were independent predictors of adverse events. Many frailty parameters are already altered in middle-aged individuals and are predictive of adverse health events. Our findings highlight a possible need for frailty screening and preventive programs targeting middle-aged individuals.

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