The Future of the Elderly Population Health Status: Filling a Knowledge Gap

2020 ◽  
Author(s):  
Vincenzo Atella ◽  
Federico Belotti ◽  
Daejung Kim ◽  
Dana Goldman ◽  
Tadeja Gracner ◽  
...  
Keyword(s):  
Health Status ◽  
Population Health ◽  
Elderly Population ◽  
The Elderly ◽  
Knowledge Gap ◽  
The Future

The future of the elderly population health status: Filling a knowledge gap

2021 ◽  
Author(s):  
Vincenzo Atella ◽  
Federico Belotti ◽  
Daejung Kim ◽  
Dana Goldman ◽  
Tadeja Gracner ◽  
...  
Keyword(s):  
Health Status ◽  
Population Health ◽  
Elderly Population ◽  
The Elderly ◽  
Knowledge Gap ◽  
The Future

scholarly journals Oral health status in a group of the elderly population residing at home

Gerodontology ◽  
2011 ◽  
Vol 29 (2) ◽  
pp. e761-e767 ◽  
Author(s):  
Haviye Erverdi Nazliel ◽  
Nur Hersek ◽  
Murat Ozbek ◽  
Ergun Karaagaoglu
Keyword(s):  
Health Status ◽  
Oral Health ◽  
Elderly Population ◽  
The Elderly ◽  
Oral Health Status ◽  
At Home

Future Ultrasound Biomarkers for Sarcopenia: Elastography, Contrast-Enhanced Ultrasound, and Speed of Sound Ultrasound Imaging

2020 ◽  
Vol 24 (02) ◽  
pp. 194-200 ◽  
Author(s):  
Slavcho Ivanoski ◽  
Violeta Vasilevska Nikodinovska
Keyword(s):  
Speed Of Sound ◽  
Elderly Population ◽  
The Elderly ◽  
Adverse Outcomes ◽  
Muscle Quality ◽  
Clinical Settings ◽  
Contrast Enhanced ◽  
The Future ◽  
Ultrasound Technology ◽  
Future Evaluation

AbstractSarcopenia is the advanced and generalized loss of muscle mass and strength among the elderly population and is a cause of adverse outcomes. Methods used for the diagnosis of sarcopenia are either unavailable or expensive in everyday clinical settings. Ultrasound presents an inexpensive, convenient, and available method that offers advantages for the evaluation of skeletal muscle. Muscle quality will probably be the most important factor in defining sarcopenia in the future. Different features of muscle quality, including muscle elasticity, microcirculation and muscle perfusion during rest and physical activity, and the content of intramuscular adipose tissue can be measured using emerging and promising ultrasound techniques such as elastography, contrast-enhanced imaging, and speed of sound ultrasound technology. This article reviews the recent evidence on the use of ultrasound techniques in the assessment of muscle quality and the possibilities for the future evaluation of sarcopenia.

Health status of the elderly population among four primitive tribes of Orissa, India: A clinico-epidemiological study

2009 ◽  
Vol 42 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Anna S. Kerketta ◽  
Gandham Bulliyya ◽  
Bontha V. Babu ◽  
Surendra S. S. Mohapatra ◽  
Rabi N. Nayak
Keyword(s):  
Health Status ◽  
Epidemiological Study ◽  
Elderly Population ◽  
The Elderly

scholarly journals Nutrition and Health Status of Elderly People in Bangladesh: Evidence From a Nationwide Survey

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 39-39
Author(s):  
Malay Kanti Mridha ◽  
Md Mokbul Hossain ◽  
Md Showkat Ali Khan ◽  
Abu abdullah Mohammad Hanif ◽  
Mehedi Hasan ◽  
...  
Keyword(s):  
Health Status ◽  
Elderly People ◽  
Elderly Population ◽  
Mental Health Problems ◽  
Dietary Diversity ◽  
Kidney Diseases ◽  
The Elderly ◽  
Family Welfare ◽  
Nutrition And Health ◽  
Health And Nutrition

Abstract Objectives Though Bangladesh is passing through demographic, epidemiologic and nutritional transitions, national estimates on nutrition and health status of the elderly population are largely unknown. We aimed to determine the status of selected health and nutrition indicators among the elderly population in Bangladesh. Methods For the first time in Bangladesh, we included elderly population (≥60 years old females and males) as a separate population group in the national food security and nutrition surveillance round 2018–2019. We collected data on dietary diversity, nutritional status, behavioral risk factors of non-communicable diseases, blood pressure, and self-reported chronic diseases from 4,818 elderly people (48% female) living in 82 clusters (57 rural, 15 non-slums urban, and 10 slums) randomly selected from eight administrative division of Bangladesh. Results Majority (59% in rural, 53% in non-slum urban, and 69% in slums) of elderly people were consuming an inadequately diverse (4 or less food groups out of 10) diet. Overall, 89% of elderly people were malnourished (20%) or at risk of malnutrition (69%). The highest prevalence of malnutrition was in Mymensingh division (37%) followed by Sylhet division (27%). The prevalence of obesity was 5%, 16%, and 11%, in rural, non-slum urban, and slums, respectively. The national prevalence of smoking, smokeless tobacco consumption, physical inactivity was 18%, 52%, and 38%, respectively. There was a high burden of hypertension (49% in rural, 53% in non-slum urban, and 39% in slums). Overall, 16% of elderly people had heart diseases, 14% had chronic respiratory diseases, 3% had kidney diseases, 9% had diabetes, 8% had stroke, 0.5% had cancer and 1.4% had mental health problems. Conclusions The government of Bangladesh should design and implement health and nutrition programs among the elderly population. The regional differences in the prevalence of health and nutrition indicators should be considered while designing such programs. Funding Sources Ministry of Health and Family Welfare, Government of Bangladesh

scholarly journals The Health Status Transition and Medical Expenditure Evaluation of Elderly Population in China

2021 ◽  
Vol 18 (13) ◽  
pp. 6907
Author(s):  
Lianjie Wang ◽  
Yao Tang ◽  
Farnaz Roshanmehr ◽  
Xiao Bai ◽  
Farzad Taghizadeh-Hesary ◽  
...  
Keyword(s):  
Health Care ◽  
Health Status ◽  
Elderly Population ◽  
The Elderly ◽  
Severe Disability ◽  
Medical Expenditures ◽  
Medical Expenditure ◽  
Population Increase ◽  
Health Transition ◽  
Status Transition

(1) Background: Because of the rapid expansion of the aging population in China, their health status transition and future medical expenditure have received increasing attention. This paper analyzes the health transition of the elderly and how their health transition impacts medical expenditures. At the same time, feasible policy suggestions are provided to respond to the rising medical expenditure and the demand for social care. (2) Methods: The data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2015 and analyzed using the Markov model and the Two-Part model (TPM) to forecast the size of the elderly population and their medical expenditures for the period 2020–2060. (3) Results: The study indicates that: (1) for the elderly with a mild disability, the probability of their health improvement is high; in contrast, for the elderly with a moderate or severe disability, their health deterioration is almost certain; (2) the frequency of the diagnosis and treatments of the elderly is closely related to their health status and medical expenditure; alternatively, as the health status deteriorates, the intensity of the elderly individuals’ acceptance of their diagnosis and treatment increases, and so does the medical expense; (3) the population of the elderly with mild and moderate disability demonstrates an inverted “U”-shape, which reaches a peak around 2048, whereas the elderly with severe disability show linear growth, being the target group for health care; (4) with the population increase of the elderly who have severe disability, the medical expenditure increases significantly and poses a huge threat to medical service supply. Conclusions: It is necessary to provide classified and targeted health care according to the health status of the elderly. In addition, improving the level of medical insurance, establishing a mechanism for sharing medical expenditure, and adjusting the basic demographic structure are all important policy choices.

Projecting the future size and health status of the US elderly population

1992 ◽  
Vol 8 (3) ◽  
pp. 433-458 ◽  
Author(s):  
Kenneth G. Manton ◽  
Eric Stallard ◽  
Burt Singer
Keyword(s):  
Health Status ◽  
Elderly Population ◽  
The Us ◽  
The Future

scholarly journals Construction of a risk prediction model for Alzheimer’s disease in the elderly population

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lingling Wang ◽  
Ping Li ◽  
Ming Hou ◽  
Xiumin Zhang ◽  
Xiaolin Cao ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Health Status ◽  
Prediction Model ◽  
Genetic Risk ◽  
Elderly Population ◽  
Economic Status ◽  
The Elderly ◽  
Predictor Variables ◽  
Lasso Regression ◽  
Validation Set

Abstract Background Dementia is one of the greatest global health and social care challenges of the twenty-first century. The etiology and pathogenesis of Alzheimer’s disease (AD) as the most common type of dementia remain unknown. In this study, a simple nomogram was drawn to predict the risk of AD in the elderly population. Methods Nine variables affecting the risk of AD were obtained from 1099 elderly people through clinical data and questionnaires. Least Absolute Shrinkage Selection Operator (LASSO) regression analysis was used to select the best predictor variables, and multivariate logistic regression analysis was used to construct the prediction model. In this study, a graphic tool including 9 predictor variables (nomogram-see precise definition in the text) was drawn to predict the risk of AD in the elderly population. In addition, calibration diagram, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to verify the model. Results Six predictors namely sex, age, economic status, health status, lifestyle and genetic risk were identified by LASSO regression analysis of nine variables (body mass index, marital status and education level were excluded). The area under the ROC curve in the training set was 0.822, while that in the validation set was 0.801, suggesting that the model built with these 6 predictors showed moderate predictive ability. The DCA curve indicated that a nomogram could be applied clinically if the risk threshold was between 30 and 40% (30 to 42% in the validation set). Conclusion The inclusion of sex, age, economic status, health status, lifestyle and genetic risk into the risk prediction nomogram could improve the ability of the prediction model to predict AD risk in the elderly patients.

scholarly journals Evaluation of the Criteria for Quality of Life of Elderly Health Care Centers in Tehran Province, Iran

2015 ◽  
Vol 8 (7) ◽  
pp. 68 ◽  
Author(s):  
Fereshteh Farzianpour ◽  
Mohammad Arab ◽  
Abbas Rahimi Foroushani ◽  
Esmaeil Morad Zali Mehran
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Elderly Population ◽  
Short Form ◽  
Age Distribution ◽  
The Elderly ◽  
Financial Problems ◽  
Cross Sectional ◽  
The Mean

<p><strong>BACKGROUND &amp; OBJECTIVES:</strong> The objective of this study was to evaluate the elderly quality of life of people covered by the healthcare centers in Tehran and its influencing demographic and background factors.</p><p><strong>METHOD:</strong> This is a cross-sectional study of quality of life of the elderly population covered by healthcare centers and bases in Tehran, as well as the influential background and demographic factors. Sampling was performed using simple random stratified sampling proportionate to the size of strata. Data were collected using the Iranian version of the standard questionnaire Short Form Health Survey (SF-36).</p><p><strong>RESULTS:</strong> According to the findings, 240 (60%) of the cases were men and 160 (40%) were women. Regarding age distribution, 76.3% fell in the 60-69 age range and 87.2% were illiterate. 18% of the elderly stated that they have financial problems and 19.5% did not express any financial problems. While studying the relationship between financial status and health status with the mean scores of quality of life, statistically significant differences were observed in all domains (p=0.032&lt;0.001). The mean quality of life was lower in women compared to men.<strong> </strong></p><p><strong>CONCLUSIONS:</strong> The findings of the present study indicate that the health-related quality of life in the elderly population is influenced by their health status and demographic and background variables.</p>

scholarly journals A Country-Level Empirical Study on the Fiscal Effect of Elderly Population Health: The Mediating Role of Healthcare Resources

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Bo Tang ◽  
Zhi Li
Keyword(s):  
Public Finance ◽  
Population Health ◽  
Elderly Population ◽  
The Elderly ◽  
Healthcare Resources ◽  
Mediating Role ◽  
Health Burden ◽  
Fiscal Balance ◽  
Elderly Health

Demographic shifts towards an aging population are becoming a significant fiscal challenge for governments. Previous research has explored the fiscal consequences of the expanding elderly population, but the impact on the elderly’s health quality is less mentioned. The balanced relationship between elderly population health and public finance is a major concern of the global political agenda on the aging society. This article used cross-country panel data from 2000 to 2019 to examine the fiscal effect of the elderly health burden and the mediating role of healthcare resources. The results are demonstrated: The elderly health burden has a negative impact on fiscal balance, especially in aged society and longevity countries. Moreover, the mediating effect of healthcare resources is significant, whereby various forms of healthcare resources such as funds, labor, and facilities all have significant effects. Thus, the conceptual framework of elderly population health, healthcare resources, and public finance is confirmed that the elderly health burden specifically leads to the growing consumption of healthcare resources, which reduces the fiscal balance. It is concluded that reducing the elderly health burden and improving healthcare resource efficiencies are two feasible strategies to enhance fiscal sustainability.

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