scholarly journals Falls and EQ-5D rated quality of life in community-dwelling seniors with concurrent chronic diseases: a cross-sectional study

2014 ◽  
Vol 12 (1) ◽  
pp. 2 ◽  
Author(s):  
Ulrich Thiem ◽  
Renate Klaaßen-Mielke ◽  
Ulrike Trampisch ◽  
Anna Moschny ◽  
Ludger Pientka ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Diseases ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Associations between lifestyle factors and multidimensional frailty: a cross-sectional study among community-dwelling older people

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Marcel A. L. M. van Assen ◽  
Judith H. M. Helmink ◽  
Robbert J. J. Gobbens
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cross Sectional Study ◽  
Lifestyle Factors ◽  
Community Dwelling ◽  
Sectional Study ◽  
Physical Frailty ◽  
Cross Sectional ◽  
Community Dwelling Older People

Abstract Background Multidimensional frailty, including physical, psychological, and social components, is associated to disability, lower quality of life, increased healthcare utilization, and mortality. In order to prevent or delay frailty, more knowledge of its determinants is necessary; one of these determinants is lifestyle. The aim of this study is to determine the association between lifestyle factors smoking, alcohol use, nutrition, physical activity, and multidimensional frailty. Methods This cross-sectional study was conducted in two samples comprising in total 45,336 Dutch community-dwelling individuals aged 65 years or older. These samples completed a questionnaire including questions about smoking, alcohol use, physical activity, sociodemographic factors (both samples), and nutrition (one sample). Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI). Results Higher alcohol consumption, physical activity, healthy nutrition, and less smoking were associated with less total, physical, psychological and social frailty after controlling for effects of other lifestyle factors and sociodemographic characteristics of the participants (age, gender, marital status, education, income). Effects of physical activity on total and physical frailty were up to considerable, whereas the effects of other lifestyle factors on frailty were small. Conclusions The four lifestyle factors were not only associated with physical frailty but also with psychological and social frailty. The different associations of frailty domains with lifestyle factors emphasize the importance of assessing frailty broadly and thus to pay attention to the multidimensional nature of this concept. The findings offer healthcare professionals starting points for interventions with the purpose to prevent or delay the onset of frailty, so community-dwelling older people have the possibility to aging in place accompanied by a good quality of life.

Frailty and oral health-related quality of life in community-dwelling older adults: a cross-sectional study

2021 ◽  
Vol 35 ◽  
Author(s):  
Roosevelt Silva BASTOS ◽  
Leticia Marques SÁ ◽  
Sofia Rafaela Maito VELASCO ◽  
Debora Foger TEIXEIRA ◽  
Larissa Sanches PAINO ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Health Related Quality ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related ◽  
Community Dwelling Older Adults

scholarly journals Reduced Health-Related Quality of Life in Elders with Frailty: A Cross-Sectional Study of Community-Dwelling Elders in Taiwan

PLoS ONE ◽  
2011 ◽  
Vol 6 (7) ◽  
pp. e21841 ◽  
Author(s):  
Cheng-Chieh Lin ◽  
Chia-Ing Li ◽  
Chiu-Kai Chang ◽  
Chiu-Shong Liu ◽  
Chih-Hsueh Lin ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Health Related Quality ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related

scholarly journals Examining and adapting the information–motivation–behavioural skills model of medication adherence among community-dwelling older patients with multimorbidity: protocol for a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. e033431
Author(s):  
Chen Yang ◽  
Zhaozhao Hui ◽  
Dejian Zeng ◽  
Li Liu ◽  
Diana Tze Fan Lee
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Health Outcomes ◽  
Older Patients ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Imb Model ◽  
Cross Sectional

IntroductionMultimorbidity is highly prevalent among older patients and has been shown to be associated with poor health outcomes and lower quality of life. Adherence to medication treatments is essential in order to maximise the efficacy of treatments and improve health outcomes. However, nearly half of the older patients with multimorbidity fail to adhere to their medications, which can result in an increased risk of adverse health events, lower quality of life and higher healthcare cost. Only a few studies have explored the underlying mechanism and influencing factors of medication adherence among older patients with multimorbidity, which are inadequate to provide robust evidence for the development and evaluation of the medication adherence interventions. This study aims to examine and adapt the information–motivation–behavioural skills (IMB) model, a widely used social behaviour theory, to explain the medication adherence behaviour among community-dwelling older patients with multimorbidity.Methods and analysisA cross-sectional study will be conducted in community settings in China. Around 309 older patients with multimorbidity will be recruited to complete questionnaires on adherence knowledge, adherence motivation, adherence self-efficacy, medication adherence, medication treatment satisfaction, depressive symptoms, treatment burden, disease burden and basic demographic information. Structural equation modelling will be used to analyse and validate the relationships among variables in the IMB model.Ethics and disseminationThis study has been approved by the Survey and Behavioral Research Ethics Committee of the Chinese University of Hong Kong (reference number SBRE-18-675). The study results will be published in peer-reviewed journals and presented in academic conferences and workshops.Trial registration numberChiCTR1900024804.

scholarly journals Predictors of Quality of Life among Parents of Children with Chronic Diseases: A Cross-Sectional Study

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 456
Author(s):  
Filiberto Toledano-Toledano ◽  
José Moral de la Rubia ◽  
Laura A. Nabors ◽  
Miriam Teresa Domínguez-Guedea ◽  
Guillermo Salinas Escudero ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Family Functioning ◽  
Chronic Diseases ◽  
Family Income ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Family

Quality of life (QOL) is a key aspect of the health care process for children with chronic diseases and their families. Although clinical evidence regarding the impact of chronic disease on children exists, few studies have evaluated the effects of the interaction between sociodemographic and psychosocial factors on the family caregiver’s QOL, indicating a significant gap in the research literature. The present study aimed to identify the predictors of the QOL of parents of children with chronic diseases. Three parental sociodemographic predictors (age, schooling, and family income) and four psychosocial predictors (family functioning, social support, depression, and resilience) were examined. In this cross-sectional study, 416 parents of children with chronic diseases who were hospitalized at a National Institute of Health in Mexico City were interviewed. The participants completed a sociodemographic variables questionnaire (Q-SV) designed for research on family caregivers of children with chronic disease. The predicted variable was assessed through the World Health Organization Quality of Life Questionnaire. The four psychosocial predictors were assessed through the Family Functioning Scale, Social Support Networks Scale, Beck Depression Inventory, and Measurement Scale of Resilience. The regression model explained 42% of the variance in parents’ QOL. The predictors with positive weights included age, schooling, monthly family income, family functioning, social support networks, and parental resilience. The predictors with negative weights included depression. These findings suggest that strong social relationships, a positive family environment, family cohesion, personal resilience, low levels of depression, and a family income twice the minimum wage are variables associated with better parental QOL.

scholarly journals Epidemiology and associated factors of polypharmacy in older patients in primary care: a northern Italian cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Giuliano Piccoliori ◽  
Angelika Mahlknecht ◽  
Marco Sandri ◽  
Martina Valentini ◽  
Anna Vögele ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cluster Rct ◽  
Cross Sectional ◽  
Spearman's Rho ◽  
Spearman’S Rho

Abstract Background A precondition for developing strategies to reduce polypharmacy and its well-known harmful consequences is to study its epidemiology and associated factors. The objective of this study was to analyse the prevalence of polypharmacy (defined as ≥8 prescribed drugs), of potentially inappropriate medications (PIMs) and major drug-drug interactions (DDIs) among community-dwelling general practice patients aged ≥75 years and to identify characteristics being associated with polypharmacy. Methods This cross-sectional study is derived from baseline data (patients’ demographic/biometric characteristics, diagnoses, medication-related data, cognitive/affective status, quality of life) of a northern-Italian cluster-RCT. PIMs and DDIs were assessed using the 2012 Beers criteria and the Lexi-Interact® database. Data were analysed using descriptive methods, Wilcoxon rank-sum tests, Fisher’s exact tests and Spearman correlations. Results Of the eligible patients aged 75+, 13.4% were on therapy with ≥8 drugs. Forty-three general practitioners and 579 patients participated in the study. Forty five point nine percent of patients were treated with ≥1 Beers-listed drugs. The most frequent PIMs were benzodiazepines/hypnotics (19.7% of patients) and NSAIDs (6.6%). Sixty seven point five percent of patients were exposed to ≥1 major DDI, 35.2% to ≥2 major DDIs. Antithrombotic/anticoagulant medications (30.4%) and antidepressants/antipsychotics (23.1%) were the most frequently interacting drugs. Polypharmacy was significantly associated with a higher number of major DDIs (Spearman’s rho 0.33, p < 0.001) and chronic conditions (Spearman’s rho 0.20, p < 0.001), higher 5-GDS scores (thus, lower affective status) (Spearman’s rho 0.12, p = 0.003) and lower EQ-5D-5L scores (thus, lower quality of life) (Spearman’s rho − 0.14, p = 0.001). Patients’ age/sex, 6-CIT scores (cognitive status), BMI or PIM use were not correlated with the number of drugs. Conclusions The prevalence of polypharmacy, PIMs and major DDIs was considerable. Results indicate that physicians should particularly observe their patients with multiple conditions, reduced health and affective status, independently from other patients’ characteristics. Careful attention about indication, benefit and potential risk should be paid especially to patients on therapy with specific drug classes identified as potentially inappropriate or prone to major DDIs in older persons (e.g., benzodiazepines, NSAIDs, protonic pump inhibitors, antithrombotics/anticoagulants, antidepressants/antipsychotics). Trial registration The cluster-RCT on which this cross-sectional analysis is based was registered with Current Controlled Trials Ltd. (ID ISRCTN: 38449870) on 2013-09-11.

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