Older Men Living with Spouse and Older Women Living with Spouse and Children Have Lower Frailty Prevalence: The Korean Frailty and Aging Cohort Study (KFACS)

Shim, Hyeongjin; Kim, Sun‐Young; Kim, Miji; Kim, Byung Sung; Jeong, Eunjin; Lee, Young Ju; Won, Chang Won

doi:10.4235/agmr.20.0058

Cited by 11 publications

(9 citation statements)

References 34 publications

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“…Frailty status was assessed by the Cardiovascular Health Study frailty phenotype criteria [ 23 , 24 ]. The frailty phenotype evaluated five domains: (1) exhaustion (poor endurance, a feeling that everything is an effort or moderate inability to get going for most of the time during the last week) [ 16 ]; (2) low activity level (lowest 20th percentile of physical activity according to the Korean version of the International Physical Activity Questionnaires Short Form [ 25 ]); (3) slowness (usual gait speed < 0.8 m/s in the 4-m walking test); (4) weakness (dominant hand grip strength < 26 kg for men and < 17 kg for women); and (5) weight loss (unintentional weight loss > 3 kg in the past 6 months) [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

Longitudinal impact of oral health on geriatric syndromes and clinical outcomes in community-dwelling older adults

et al. 2021

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Background Oral health is essential for daily living and plays a pivotal role in overall health conditions and well-being. This study evaluated the impact of self-reported oral health on geriatric conditions, institutionalization, and mortality. Methods This study analyzed the population of the Aging Study of Pyeongchang Rural Area that had undergone geriatric assessments between 2016 and 2017. The oral health status of the participants was determined using three items from the General Oral Health Assessment Index, and the participants were classified into three groups according to the total sum of the scores as good (3), fair (4–7), or poor (8–15). The outcomes were the incidence of geriatric syndromes at 2 years and the composite outcome of mortality and institutionalization. Results Among the 1189 participants, 44.1 % were women, and the mean age of the study population was 75.0 years. Good, fair, and poor oral health were observed in 597 (50.2 %), 406 (34.1 %), and 186 (15.6 %) individuals, respectively. Worsening oral health status was associated with the incidences of various geriatric syndromes at follow-up, and these associations were attenuated after adjusting for baseline demographic and geriatric parameters. Similarly, the significant association between baseline oral health status and the incidence of the composite outcome was attenuated after adjusting for demographic and geriatric parameters. Conclusions Oral health affected the geriatric health conditions in this prospective, longitudinal cohort of community-dwelling older adults. The correlations and interactions of oral health status with other functional parameters may deserve consideration as a geriatric domain.

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Section: Methodsmentioning

confidence: 99%

Longitudinal impact of oral health on geriatric syndromes and clinical outcomes in community-dwelling older adults

et al. 2021

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“…Besides people’s wishes concerning their POD, medical factors, including symptom control, 12 ) availability of multidisciplinary home palliative care 13 ) or home care support medical service, 14 ) and cancer as opposed to other diagnoses, 4 ) also influence whether or not people can end their lives at home. Additional to medical factors are social factors, such as living alone, 15 ) having caregiver support, 16 ) and caregivers’ coping skills or educational attainment. 17 ) Although some studies have evaluated factors affecting POD, they have limitations.…”

Section: Introductionmentioning

confidence: 99%

Place of Death and Density of Homecare Resources: A Nationwide Study in Japan

Ikeda

Tsuboya

2021

Ann Geriatr Med Res

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Background Although more than half of the population of Japan wants to spend their last days at home, approximately only 10% are able to do so. This study examined the associations between death at home and healthcare facility density by municipality based on the analysis of nationwide observed data in Japan. Methods We used data on deaths at home and healthcare resources in municipalities across Japan for the fiscal years 2014 and 2017. The proportions of deaths at home by municipality were used as the dependent variable, while healthcare resources (e.g., hospital density) divided by the population of older people in each municipality and municipality-level income were used as independent variables. We applied a fixed-effects regression analysis to examine the association of healthcare resources and municipality-level income with death at home. Results Clinics providing home medical care and facilities providing visiting nursing services were positively associated with death at home, with coefficients (95% confidence intervals) of 2.14 (1.12 to 3.15) and 2.19 (0.99 to 3.39), respectively. Stratified analysis showed that these associations were observed in higher income-level municipalities but not in lower income-level municipalities. Conclusion Municipalities with a higher density of home care services had higher rates of death at home, whereas municipalities with a higher density of hospitals had lower rates. We recommend the development of policy that allows hospitals to be converted into home care providers so that more people can spend time in peace at home at the end of their lives.

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“…Differences have also been indicated between those living with partners and those living with children, other family members or friends (Hank and Wagner 2013;Kim and Fredrikssen-Goldsen 2014;Shim et al 2020). It is also important to consider reverse causality when considering the link between cohabitation and health outcomes; particularly in Western societies, older adults may only move in with relatives once they cannot manage living alone (Michael et al 2001).…”

Section: Introductionmentioning

confidence: 99%

The Health and Wellbeing of Older Women Living Alone in the UK: Is Living Alone a Risk Factor for Poorer Health?

et al. 2021

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Older women are more likely to live alone in later life in the UK; however, relatively little is known as to how this has an association with poorer health. This paper attempts to fill this research gap, assessing if living alone is a risk factor for poorer health in later life. The Household Panel Survey data, wave 8 were used which was collected during 2017 in the United Kingdom. Women's household types were divided into three types: living alone, living with a partner and living with others (not a partner). Seven health and wellbeing outcome variables were used. Descriptive analysis and regression analyses examined the role of living alone in predicting health and wellbeing, controlling for demographic and socioeconomic (SES) factors.Results showed significant differences between the household types. However, living alone was not found to be a risk factor for poorer health once SES variables were included in the regression models. While there were differences in the health and wellbeing of the three household composition types, these differences were not found to be significant once demographic and socioeconomic variables were accounted for. Future UK policy should aim to reduce inequalities in SES throughout the life course to improve health and wellbeing in later life. Future research directions include a more detailed examination of the determinants of health of this population.

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Older Men Living with Spouse and Older Women Living with Spouse and Children Have Lower Frailty Prevalence: The Korean Frailty and Aging Cohort Study (KFACS)

Cited by 11 publications

References 34 publications

Longitudinal impact of oral health on geriatric syndromes and clinical outcomes in community-dwelling older adults

Longitudinal impact of oral health on geriatric syndromes and clinical outcomes in community-dwelling older adults

Place of Death and Density of Homecare Resources: A Nationwide Study in Japan

The Health and Wellbeing of Older Women Living Alone in the UK: Is Living Alone a Risk Factor for Poorer Health?

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