scholarly journals The diagnostic value of phase angle, an integrative bioelectrical marker, for identifying individuals with dysmobility syndrome: the Korean Urban-Rural Elderly study

2020 ◽  
Author(s):  
Y. W. Jung ◽  
N. Hong ◽  
C. O. Kim ◽  
H. C. Kim ◽  
Y. Youm ◽  
...  
Keyword(s):  
Phase Angle ◽  
Diagnostic Value ◽  
Rural Elderly ◽  
Urban Rural ◽  
Dysmobility Syndrome

scholarly journals Cohort profile: Korean Urban Rural Elderly (KURE) study, a prospective cohort on ageing and health in Korea

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e031018 ◽  
Author(s):  
Namki Hong ◽  
Kwang-Joon Kim ◽  
Su Jin Lee ◽  
Chang Oh Kim ◽  
Hyeon Chang Kim ◽  
...  
Keyword(s):  
Social Support ◽  
Rural Elderly ◽  
Support Networks ◽  
Support Network ◽  
Imaging Biomarkers ◽  
Social Support Networks ◽  
Data Set ◽  
Age Related ◽  
Urban Rural

PurposeThe Korean Urban Rural Elderly (KURE) cohort was initiated to study the epidemiologic characteristics, physical performance, laboratory and imaging biomarkers and incidence of age-related diseases in an elderly population with respect to both clinical and social aspects to develop preventive and therapeutic strategies for combatting age-related diseases.ParticipantsA total of 3517 adults aged 65 or older participated in the cohort at baseline from 2012 to 2015, recruited from three urban districts and one rural district in Korea. The second-wave follow-up survey is now being conducted at a 4-year interval from baseline (2016–2019; follow-up rate 71.5%). The data set included detailed information on anthropometric and socioeconomic factors, functional assessments, image scans (plain radiography, dual-energy X-ray absorptiometry and CT), biospecimens (ie, serum, urine and DNA) and social support networks along with the feasibility of linkage to a national claims database.Findings to dateMean age of participants at entry was 71.9±4.6 years and 67% were women. From the KURE participants enrolled in baseline recruitment, several studies were published in the fields of cardiometabolic diseases, musculoskeletal health and the association between social support network and diseases in ageing.Future plansParticipants will be observed actively and passively every 4–5 years and the first follow-up will be completed in 2020. The KURE data set has strength in comprehensive physical function assessments, quantifiable imaging data sets using CT and detailed information regarding the social support networks of participants from a large community-based elderly Korean population.

The Diagnostic Value of Phase-Angle Tympanograms

1981 ◽  
Vol 20 (1) ◽  
pp. 1-14 ◽  
Author(s):  
W. L. Creten ◽  
K. J. Van Camp ◽  
M. A. Maes ◽  
P. M. Vanpeperstraete
Keyword(s):  
Phase Angle ◽  
Diagnostic Value

Urban/Rural Elderly Health Status Differences

1997 ◽  
Vol 8 (4) ◽  
pp. 7-24 ◽  
Author(s):  
W.R. Gillanders ◽  
Terry F. Buss ◽  
C. Richard Hofstetter
Keyword(s):  
Health Status ◽  
Rural Elderly ◽  
Urban Rural ◽  
Elderly Health ◽  
Status Differences

scholarly journals Disability-Free Life Expectancy among People Over 60 Years Old by Sex, Urban and Rural Areas in Jiangxi Province, China

2021 ◽  
Vol 18 (9) ◽  
pp. 4636
Author(s):  
Shengwei Wang ◽  
Songbo Hu ◽  
Pei Wang ◽  
Yuhang Wu ◽  
Zhitao Liu ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Life Expectancy ◽  
Rural Women ◽  
Rural Areas ◽  
Urban Areas ◽  
Rural Elderly ◽  
Jiangxi Province ◽  
Urban Rural ◽  
Disability Free Life Expectancy ◽  
The Difference

Objective: To estimate and compare age trends and the disability-free life expectancy (DFLE) of the population over 60 years old in 2018 in Jiangxi Province, China, by sex and urban–rural areas. Methods: The model life table was employed to estimate the age-specific mortality rate by sex and urban–rural areas, based on the Summary of Health Statistics of Jiangxi Province in 2018 and the Sixth National Health Service survey of Jiangxi Province. DFLE and its ratio to life expectancy (LE) were obtained by the Sullivan method. Results: In 2018, the DFLE among people over 60 is 17.157 years for men and is 19.055 years for women, accounting for 89.7% and 86.5% of their LE respectively. The DFLE/LE of men is higher than that of women at all ages. LE and DFLE are higher for the population in urban areas than in rural areas. For women, DFLE/LE is higher in urban areas than in rural areas (except at ages 75 and 80). Urban men have a higher DFLE/LE than rural men (except at age 85). The difference in DFLE between men and women over 60 years is 1.898 years, of which 2.260 years are attributable to the mortality rate, and 0.362 years are due to the disability-free prevalence. In addition, the difference in DFLE between urban–rural elderly over 60 years old is mostly attributed to the mortality rate by gender (male: 0.902/1.637; female: 0.893/1.454), but the impact of the disability-free rate cannot be ignored either (male: 0.735/1.637; female: 0.561/1.454). Conclusions: The increase in DFLE is accompanied by the increase in LE, but with increased age, DFLE/LE gradually decreases. With advancing age, the effect of disability on elderly people becomes more severe. The government administration must implement some preventive actions to improve health awareness and the life quality of the elderly. Rural elderly; rural women in particular, need to be paid more attention and acquire more health care.

scholarly journals Health Disparities between the Rural and Urban Elderly in China: A Cross-Sectional Study

2021 ◽  
Vol 18 (15) ◽  
pp. 8056
Author(s):  
Jian Zhang ◽  
Dan Li ◽  
Jianmin Gao
Keyword(s):  
Health Disparities ◽  
Rural Health ◽  
Rural Areas ◽  
Decomposition Analysis ◽  
The Elderly ◽  
Rural Elderly ◽  
Urban Elderly ◽  
Rural And Urban ◽  
Urban Rural ◽  
Urban And Rural Areas

Background: China is becoming an aging society, and the proportion of the population aged 60 years and above is increasing. There is a dualistic urban–rural economic structure between urban and rural areas in China, but there are few comparative health studies on the self-assessed health (SAH) status of the elderly between urban and rural areas. The aim of this study is to explore the SAH status of the elderly in China, and to identify the health disparity between the urban and rural elderly. Methods: The data from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were adopted. A total of 9630 participants aged 60 and above were included in this study. SAH was used as the indicator, measuring the health status. Fairlie decomposition analysis was conducted to find the SAH disparity. Results: The proportion of good SAH of the rural elderly (24.01%) was significantly higher than the urban elderly (19.99%). The association of SAH was widely different between the rural and urban elderly. There was a stronger association between SAH and sleeping time in the urban elderly (Odds ratios (OR) = 3.347 of 4–8 hours; OR = 3.337 of above 8 hours) than the rural elderly (OR = 1.630 of 4–8 hours; OR = 2.293 of above 8 hours). Smoking and social activity were significant only in the urban elderly, while region and assets were significant only in the rural elderly. Drinking (11.45%), region (−33.92%), and assets (73.50%) were the main factors contributing to the urban–rural health disparities. Conclusions: This is the first comparative study examining SAH disparity, focusing on the elderly aged 60 and above in China. From the perspective of drinking, region, and assets, our study highlighted substantial urban–rural health disparities, and provided evidence for policy making on narrowing the health gap between urban and rural areas in China.

scholarly journals Research on Urban and Rural Involvement in Smart Elderly Services

2021 ◽  
Vol 3 (2) ◽  
pp. 12-19
Author(s):  
Lifang Shi
Keyword(s):  
Rural Areas ◽  
Elderly Care ◽  
Rural Elderly ◽  
Dual Structure ◽  
Care Services ◽  
Urban Rural ◽  
Urban And Rural Areas ◽  
Basic Ideas ◽  
Reform And Development

This article aims to overcome the challenges faced by traditional elderly care services in China and discuss the development opportunities of smart elderly care services in urban and rural areas. Additionally, seek feasible countermeasures based on the basic ideas of smart elderly care to promote the transformation of urban and rural elderly care services to smart and intelligent. Therefore, we can bridge the gap between urban and rural areas, break the urban-rural dual structure, and encourage cities and villages to share the benefits of reform and development.

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