METHODS: First, challenges for seniors, including chronic diseases and other limitations associated with old age, are specified. Second, a review of seniors' needs and concerns is performed. Finally, solutions that can improve seniors' quality of life are discussed. Publications obtained from the following databases are used in this scoping review: Web of Science, PubMed, and Science Direct. Four independent reviewers screened the identified records and selected relevant publications published from 2010 to 2017. A total of 1916 publications were selected. In all, 52 papers were selected based on abstract content. For further processing, 21 full papers were screened."
RESULTS: The results indicate disabilities as a major problem associated with seniors' activities of daily living dependence. We founded seven categories of different conditions - psychological problems, difficulties in mobility, poor cognitive function, falls and incidents, wounds and injuries, undernutrition, and communication problems. In order to minimize ageing consequences, some areas require more attention, such as education and training; technological tools; government support and welfare systems; early diagnosis of undernutrition, cognitive impairment, and other diseases; communication solutions; mobility solutions; and social contributions.
CONCLUSIONS: This scoping review supports the view on chronic diseases in old age as a complex issue. To prevent the consequences of chronic diseases and other limitations associated with old age related problems demands multicomponent interventions. Early recognition of problems leading to disability and activities of daily living (ADL) dependence should be one of essential components of such interventions.
STUDY DESIGN AND OUTCOME VARIABLES: This study used data from four waves of the Chinese Longitudinal Health and Longevity Survey (CLHLS) conducted in 2002, 2005, 2008 and 2011. The sample comprised 2137 older adults who were interviewed in 2002 and re-interviewed in the following waves. Cross-tabulations were run to show the rise in chronic disease and disability with age. Ordinal logistic regression was run to examine the debilitating effects of these diseases in terms of the ability of the oldest old to perform activities of daily living.
RESULTS: The prevalence of chronic diseases rose sharply with age. The prevalence rate of six major diseases increased between 38% (respiratory diseases) and 533% (neurological disorder) among respondents who were re-interviewed nine years later. Cardiovascular diseases were the most common. Neurological disorder and cancer were less common, but had the most debilitating effects on patients. Overall, 10.0%, 3.1% and 3.1% of the respondents were disabled by cardiovascular, musculoskeletal and sensorial diseases, respectively. Ordinal logistic regression showed that neurological disorder had the strongest debilitating effects, followed by musculoskeletal and cardiovascular diseases among 2137 older persons who had survived and were followed up from the base year (2002) through 2011.
CONCLUSION: The rapid rise in chronic diseases has resulted in an increased burden of disability among the oldest old in China. There is a need to improve health care systems for the prevention and management of chronic diseases.
METHOD: In this cross-sectional study, 9432 community-dwelling elderly people aged 60 years and older living in rural or urban areas in Haikou were investigated. The interviews collected self-reported information on the presence of four major chronic diseases, as well as socio-demographic characteristics, lifestyle factors and self-reported height and weight.
FINDINGS: Overall, 31.7% (2961/9344) reported at least one of the four chronic diseases. The prevalence of hypertension, diabetes mellitus, COPD, and stroke was 26.0% (2449/9407), 8.0% (749/9371), 1.0% (95/9360), and 1.9% (175/9382), respectively. Common correlates of the four major chronic diseases were older age, being engaged in intellectual work, currently being a smoker and obesity. Gender, locality of residence, and alcohol consumptions were also found to be associated to some of the chronic conditions.
CONCLUSION: This finding indicates that multiple chronic conditions among elderly people in Haikou are prevalent and warrant special attention to reduce diseases burden and align health care services to cater the holistic elderly patients' need.
METHODS: Secondary analysis was carried out of data from the Malaysian national survey that involved 2322 community residents aged 60 years or older in Peninsular Malaysia. Cognition was measured by the digit symbol substitution test. Metabolic syndrome was assessed by five biomarkers: triglyceride, fasting blood sugar, systolic blood pressure, cholesterol ratio and body mass index. Chronic conditions were assessed by self-reported medical history. The structural equation modeling technique was used to analyze the mediation and moderation tests.
RESULTS: The number of chronic conditions partially mediated the association between metabolic syndrome and cognition. Men and women did not differ in the relationship between metabolic syndrome and cognition; however, the number of chronic conditions was found to be negatively associated with cognition in older women, but not in men.
CONCLUSIONS: Metabolic syndrome might increase the likelihood of older adults to suffer from more chronic conditions; these responses might reduce their cognition. To prevent cognitive decline in old age, specific intervention to minimize the number of chronic conditions by reducing their vascular risk factors is warranted, especially among older women. Geriatr Gerontol Int 2017; 17: 1914-1920.
METHODS: A call for papers was announced on the website of Methods of Information in Medicine in April 2016 with submission deadline in September 2016. A peer review process was established to select the papers for the focus theme, managed by two guest editors.
RESULTS: Three papers were selected to be included in the focus theme. Topics range from contributions to patient care through implementation of clinical decision support functionality in clinical registries; analysing similar-purposed acute coronary syndrome registries of two countries and their registry-to-SNOMED CT maps; and data extraction for speciality population registries from electronic health record data rather than manual abstraction.
CONCLUSIONS: The focus theme gives insight into new developments related to disease registration. This applies to technical challenges such as data linkage and data as well as data structure abstraction, but also the utilisation for clinical decision making.
METHODS: A qualitative study was conducted in a tertiary care hospital in Karachi in September 2017, using grounded theory and inductive approach. Interviews were conducted using a checklist in Urdu language from patients of chronic illnesses determined based on medicines dispensed from the out-patient pharmacy in hospital. Interviews were recorded, transcribed verbatim, translated in English and validated. The translated quotations were analysed using a qualitative analysis software, and thematic analysis was conducted. Codes were generated and analysed by semantic linkages and network analysis using ATLAS.ti qualitative research software.
RESULTS: Of the 16 patients interviewed, 8(50%) were males and 8(50%) were females. Barriers to medication adherence identified were patient behaviour (intentional and un-intentional non-adherence), comorbidity and pill burden, cost-related non-adherence, and low patient knowledge. The last barrier was associated with the rest.
CONCLUSIONS: Counselling has the potential to increase patient knowledge regarding medication use, and active pharmacist-physician collaboration can improve medication adherence..
METHODS: Data collected 2001 to 2016 from PHIVA 10-19 years of age within a regional Asian cohort were analyzed using competing risk time-to-event and Poisson regression analyses to describe the nature and incidence of morbidity events and hospitalizations and identify factors associated with disease-related, treatment-related and overall morbidity. Morbidity was defined according to World Health Organization clinical staging criteria and U.S. National Institutes of Health Division of AIDS criteria.
RESULTS: A total 3,448 PHIVA contributed 17,778 person-years. Median age at HIV diagnosis was 5.5 years, and ART initiation was 6.9 years. There were 2,562 morbidity events and 307 hospitalizations. Cumulative incidence for any morbidity was 51.7%, and hospitalization was 10.0%. Early adolescence was dominated by disease-related infectious morbidity, with a trend toward noninfectious and treatment-related morbidity in later adolescence. Higher overall morbidity rates were associated with a CD4 count <350 cells/µL, HIV viral load ≥10,000 copies/mL and experiencing prior morbidity at age <10 years. Lower overall morbidity rates were found for those 15-19 years of age compared with 10-14 years and those who initiated ART at age 5-9 years compared with <5 or ≥10 years.
CONCLUSIONS: Half of our PHIVA cohort experienced a morbidity event, with a trend from disease-related infectious events to treatment-related and noninfectious events as PHIVA age. ART initiation to prevent immune system damage, optimize virologic control and minimize childhood morbidity are key to limiting adolescent morbidity.
METHODS: An analysis was conducted among 2237 older adults who participated in a longitudinal study on aging (LRGS TUA). This study involved four states in Malaysia, with 49.4% from urban areas. Respondents were divided into three categories of SES based on percentile, stratified according to urban and rural settings. SES was measured using household income.
RESULTS: The prevalence of low SES was higher among older adults in the rural area (50.6%) as compared to the urban area (49.4%). Factors associated with low SES among older adults in an urban setting were low dietary fibre intake (Adj OR:0.91),longer time for the Timed up and Go Test (Adj OR:1.09), greater disability (Adj OR:1.02), less frequent practice of caloric restriction (Adj OR:1.65), lower cognitive processing speed score (Adj OR:0.94) and lower protein intake (Adj OR:0.94). Whilst, among respondents from rural area, the factors associated with low SES were lack of dietary fibre intake (Adj OR:0.79), lower calf circumference (Adj OR: 0.91), lesser fresh fruits intake (Adj OR:0.91), greater disability (Adj OR:1.02) and having lower score in instrumental activities of daily living (Adj OR: 0.92).
CONCLUSION: Lower SES ismore prevalent in rural areas. Poor dietary intake, lower fitness and disability were common factors associated with low in SES, regardless of settings. Factors associated with low SES identifiedin both the urban and rural areas in our study may be useful inplanning strategies to combat low SES and its related problems among older adults.
METHODS: This was a cross sectional study design. A total of 347 respondents from low household income groups, including persons with disability and Orang Asli were recruited from E-kasih. A semi-guided self-administered questionnaire was used. QOL measured by EQ. 5D utility value and health status measured by visual analogue score (VAS). Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status.
RESULTS: Majority of the respondents were Malay, female (61%), 63% were married, 60% were employed and 46% with total household income of less than 1 thousand Ringgit Malaysia. 70% of them were not having any chronic medical problems. Factors that associated with low QOL were male, single, low household income, and present chronic medical illness, while poor health status associated with female, lower education level and present chronic medical illness. Logistic regression analysis has showed that determinants of low QOL was present chronic illness [AOR 4.15 95%CI (2.42, 7.13)], while determinants for poor health status were; female [AOR 1.94 95%CI (1.09,3.44)], lower education [AOR 3.07 95%CI (1.28,7.34)] and present chronic illness [AOR 2.53 95%CI (1.39,4.61)].
CONCLUSION: Low socioeconomic population defined as low total household income in this study. Low QOL of this population determined by present chronic illness, while poor health status determined by gender, education level and chronic medical illness.