E-services in the ageing society: An Italian perspective

2013 ◽  
Vol 36 (2) ◽  
pp. 105-118 ◽  
Author(s):  
Paolo Depaoli
Keyword(s):  
Ageing Society

A REVIEW ON THE BENEFITS OF HORTICULTURAL THERAPY FOR RETIREMENT COMMUNITY IN MALAYSIA

2017 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Amirul Amin Ismail ◽  
Ismail Samsuddin ◽  
Azman Zainonabidin ◽  
Harlina Mohd Ali
Keyword(s):  
Well Being ◽  
The Elderly ◽  
Retirement Community ◽  
Analysis Method ◽  
Horticultural Therapy ◽  
Seamless Integration ◽  
Ageing Society ◽  
After Effects ◽  
Malaysian Population ◽  
The Impact

By the year 2030, Malaysian population will experience the after effects of the rapid growth of ageing society. This paper investigates the impact of seamless integration of horticultural activity in the new residential typology of retirement community. It is believed that horticultural therapy is not only beneficial for physical and psychological but also promotes socialisation opportunities among the elderly. Comparative analysis method on selected precedent studies has been carried out and analysed in accordance with Malaysian context. Initial findings indicate that a retirement community with horticultural activity gives therapy for healthier well-being. This therapeutic activity can be apositive change in elderly lifestyle and essential towards the establishment of retirement community in Malaysia. 

scholarly journals Skin diseases in hospitalized geriatrics: a 9-year analysis from a University Dermatology Center in Germany

2021 ◽  
Author(s):  
Claudia Ansorge ◽  
Johannes M. Miocic ◽  
Franziska Schauer
Keyword(s):  
Geriatric Patients ◽  
Skin Diseases ◽  
Medical Center ◽  
Malignant Neoplasm ◽  
Ageing Society ◽  
Demographic Trend ◽  
Venous Diseases ◽  
Notable Increase ◽  
Hospitalized Geriatric Patients

AbstractThe demographic trend of an ageing society is mirrored in the rising number of hospitalized geriatric patients in Germany. However, there is still a wide gap of knowledge regarding the dermatological diseases, comorbidities and performed procedures within this growingly important group of patients. The study was conducted as a retrospective monocentric data analysis of all patients 65 years or older from the Department of Dermatology, Medical Center—University of Freiburg, Germany. In total, 10,009 individual hospitalisations were included from 2009 to 2017, and there was a notable increase of geriatric patients in the study period. This study illustrates the following: leading major diagnoses included malignant neoplasm of the head and neck, ulcerated and non-ulcerated inflammatory spectrum of chronic venous insufficiency, whereas angina pectoris, type 2 diabetes and cardiac diseases were noted most frequently as secondary diagnoses. Patients with venous diseases had considerably more often cardiopulmonary minor diagnoses, whereas endocrine diagnoses peaked in the cohort of patients with psoriasis and psychiatric and muscululoskeletal disorders in patients with bullous dieseases. Moh’s surgery, dressings and multimodal dermatological treatments were the most often encoded procedures.

scholarly journals Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 789
Author(s):  
David Kreuzer ◽  
Michael Munz
Keyword(s):  
Gait Analysis ◽  
Time Series Data ◽  
Low Cost ◽  
Analysis Data ◽  
Gait Disorders ◽  
Human Gait ◽  
Series Data ◽  
Ageing Society ◽  
Time Motion ◽  
Gait Phase

With an ageing society comes the increased prevalence of gait disorders. The restriction of mobility leads to a considerable reduction in the quality of life, because associated falls increase morbidity and mortality. Consideration of gait analysis data often alters surgical recommendations. For that reason, the early and systematic diagnostic treatment of gait disorders can spare a lot of suffering. As modern gait analysis systems are, in most cases, still very costly, many patients are not privileged enough to have access to comparable therapies. Low-cost systems such as inertial measurement units (IMUs) still pose major challenges, but offer possibilities for automatic real-time motion analysis. In this paper, we present a new approach to reliably detect human gait phases, using IMUs and machine learning methods. This approach should form the foundation of a new medical device to be used for gait analysis. A model is presented combining deep 2D-convolutional and LSTM networks to perform a classification task; it predicts the current gait phase with an accuracy of over 92% on an unseen subject, differentiating between five different phases. In the course of the paper, different approaches to optimize the performance of the model are presented and evaluated.

scholarly journals The Generational Impact on Meaning Making and Well-being of Adult Children Caregivers in Dementia Caregiving

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 908-908
Author(s):  
Vivian Lou ◽  
Daniel W L Lai ◽  
Daniel Fu-Keung Wong ◽  
Doris Yu ◽  
Shuangzhou Chen ◽  
...  
Keyword(s):  
Generation X ◽  
Meaning Making ◽  
Well Being ◽  
Ageing Society ◽  
Making Sense ◽  
Dementia Caregiver ◽  
Care Recipients ◽  
Care And Support ◽  
Significant Difference ◽  
Two Generations

Abstract Children caregivers contributed significantly to care and support dementia parents globally. In the caregiving journey, making sense of providing care plays significant role in their caregiving journey. In an ageing society such as Hong Kong, different generations of children caregivers take up dementia caregiver roles. We hypothesized that from studying baby boomers (BB, born in 1946-1964) and generation X (GX, born in 1965-1980), generations have impacts on their meaning making and well-being outcomes. 601 Caregivers completed a paper or online battery of questionnaires on burden (ZBI-4), mental well-being (PHQ-9), caregiving factors (ADL, IADL, caregiving hours, Positive Aspect of Caregiving; PAC) and the meaning making factors (Finding Meaning Through Caregiving; FMTC). Results showed that significant difference between caregivers from two generations. GX have significantly lower meaning made, measured by PAC affirming self and enriching life, as well as FMTC provisional meaning. While they spent less caregiving hours for the more independent care recipients, they suffered from higher burden, higher FMTC loss/powerless and worse psychological well-being (PHQ). The findings demonstrated generation X caregiver suffered from lower level of the meaning made and worse psychological wellbeing outcomes than BB caregivers. Future caregiver studies should take generational effect into account and services shall be provided in a generation-responsive approach.

scholarly journals Psychological distress during COVID-19 pandemic in low-income and middle-income countries: a cross-sectional study of older persons in Thailand

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e047650
Author(s):  
Wiraporn Pothisiri ◽  
Paolo Miguel Manalang Vicerra
Keyword(s):  
Psychological Distress ◽  
Low Income ◽  
Older Persons ◽  
Online Survey ◽  
Well Being ◽  
Secondary Outcome ◽  
Ageing Society ◽  
Psychological Well Being ◽  
Middle Income ◽  
The Impact

ObjectiveThe COVID-19 situation in Thailand was controlled with various social measures. Much of the information covered in the media and in studies focused on the public health and economic aspects of the pandemic. This study aimed to explore the psychological well-being of older people, which is important especially in an ageing society categorised as low income or middle income due to the limits of economic and healthcare resources.SettingThe impact of COVID-19 on older persons in Thailand, an online survey, taken across nine provinces within the five regions of the country.ParticipantsInformation was collected from 1230 adults aged at least 60 years old.If an older person was illiterate, unable to access the internet or had a disability preventing them from responding to the survey, an intermediary residing in the community conducted the survey interview.Primary and secondary outcome measuresThe analysis focused on the worries of older adults and the factors associated with psychological distress experienced during the pandemic using logistic regression analysis.ResultsThe majority of people aged at least 60 years old experienced psychological distress during COVID-19. Employment loss (OR 1.08, 95% CI 0.78 to 1.38), inadequate income (OR 1.77, 95% CI 1.28 to 2.44) and debt incursion (OR 2.74, 95% CI 1.57 to 4.80) were detrimental to psychological well-being. The negative changes in the perception of their health status (OR 1.92, 95% CI 1.23 to 2.99) and decreased life satisfaction (OR 1.49, 95% CI 0.45 to 1.87) also weighed on older Thais. The protective factors for psychological well-being were residing in rural areas (OR 0.46, 95% CI 0.35 to 0.61) and being married (OR 0.75, 95% CI 0.55 to 1.01).ConclusionObserving the concerns of the older population is important for introducing policies that can alleviate their precarious financial and health statuses.

The Development of Deep Learning Methods to Select Passion Fruit for the Ageing Society

2021 ◽  
Author(s):  
Akksatcha Duangsuphasin ◽  
Preecha Rungsaksangmanee ◽  
Athakorn Kengpol ◽  
Kalle Elfvengren
Keyword(s):  
Deep Learning ◽  
Passion Fruit ◽  
Learning Methods ◽  
Ageing Society
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