Top 11 quality of life factors in 2023

Author: www.investopedia.com

Date Submitted: 10/30/2019 02:29 PM

Average star voting: 4 ⭐ ( 94313 reviews)

Summary:

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Author: ec.europa.eu

Date Submitted: 11/21/2021 12:08 PM

Average star voting: 3 ⭐ ( 19590 reviews)

Summary: Research clearly shows that addressing health and quality of life (QOL) more holistically from birth to aging can improve outcomes and reduce costs.

Match with the search results: income and job, housing, education, life-work balance, interpersonal relationships, infrastructure and services, and access to cultural and leisure activities…. read more

Author: ec.europa.eu

Date Submitted: 03/26/2022 02:55 PM

Average star voting: 4 ⭐ ( 33369 reviews)

Summary: Measuring economic welfare is not an exact science. Different measures included GDP, MEW, HDI. Evaluation of different factors that should be considered in measuring quality of life.

Match with the search results: The 8+1 dimensions of quality of life · Material living conditions · Productive or main activity · Health · Education · Leisure and social ……. read more

Author: www.bfs.admin.ch

Date Submitted: 08/19/2021 12:19 PM

Average star voting: 4 ⭐ ( 96821 reviews)

Summary: Medical students have a worse perception of Quality of Life (QoL) and a high prevalence of psychosocial suffering when compared to the general population. The objective of this study was to investigate associated factors with Quality of Life of Brazilian medical students from an exploratory analysis in a cross-sectional study described in accordance with the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) guidelines. This is a cross-sectional and multicenter study with national sample randomized by sex and year of the course. Data were collected between August 2011 and August 2012, using an electronic platform (VERAS platform). Our outcomes included: personal quality of life (QoLp) and quality of life related to medical course activities (QoLmc), both measured using a score ranging from 0 (worst) to 10 (best). Variables as predictors: the World Health Organization Quality of Life Assessment abbreviated version (WHOQOL-BREF); VERAS-Q (a questionnaire created to evaluate the QoL of students in health professions); Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), Maslach Burnout Inventory (MBI), Resilience Scale (RS-14), Interpersonal Reactivity Multidimensional Scale (IRMS) and Dundee Ready Education Environment Measure (DREEM). Our sample is comprised of 1350 (81.8%) medical students. When comparing predictors and both quality of life outcome measures, we found a negative correlation between QoL and the BDI, PSQI and ESS scores. Through a multiple linear regression mode we identified the median of significant predictors to higher QoL. We then run a tree regression model that demonstrated that the VERAS-Q—physical health domain (a domain assessing self-care, self-perception of health, sleep, leisure, physical activity and appearance) was the most important factor predicting QoL. Students with a VERAS-Q-physical health score ≥ 60.9 and a VERAS-Q-time management (address the management of the student’s time, free time and whether he can dedicate himself to other activities besides the course) score ≥ 55.7 presented the best QoLmc (score: 8.08–9.63%). Students with a VERAS-Q-physical health score ≥ 79.7 presented the highest QoLp (score 8.93–8.74%). Physical symptoms, self-perception of health and self-care assessed by the VERAS-Q physical domain had association with both final outcomes. Time management seems to have a protective role for better Quality of Life. These variables should be taken in consideration when designing interventions to improve Quality of Life among medical students.

Match with the search results: Measuring quality of life · 1. Material living conditions · 2. Leisure · 3. Social interactions · 4. Economic security and physical safety · 5….. read more

Author: en.wikipedia.org

Date Submitted: 02/19/2021 11:22 AM

Average star voting: 5 ⭐ ( 70452 reviews)

Summary: HRQoL is an indicator of individuals’ perception of their overall health, including social and environmental aspects. As a multidimensional concept, HRQoL can be influenced by a multitude of factors. Studies of HRQoL and factors associated with it among home-dwelling older adults have often been limited to inpatient settings or to a sub-population with a chronic disease. Studying HRQoL and its correlating factors among this population, by providing an ecological lens on factors beyond the individual level, can provide a better understanding of the construct and the role of the environment on how they perceive their HRQoL. Thus, we aimed to assess the HRQoL and investigate the correlates of HRQOL among home-dwelling older adults, guided by the levels of the ecological model. This is a cross-sectional population survey conducted in 2019 in Canton Basel-Landschaft, in northwestern Switzerland, and includes a sample of 8786 home-dwelling older adults aged 75 and above. We assessed HRQoL by using the EQ-index and the EQ-VAS. The influence of independent variables at the macro, meso and micro level on HRQoL was tested using Tobit multiple linear regression modelling. We found that having a better socio-economic status as denoted by higher income, having supplementary insurance and a higher level of education were all associated with a better HRQoL among home-dwelling older adults. Furthermore, being engaged in social activities was also related to an improved HRQoL. On the other hand, older age, female gender, presence of multimorbidity and polypharmacy as well as social isolation and loneliness were found to all have a negative impact on HRQoL. Understanding factors related to HRQoL by using an ecological lens can help identify factors beyond the individual level that impact the HRQoL of home-dwelling older adults. Our study emphasises the importance of social determinants of health and potential disparities that exists, encouraging policymakers to focus on policies to reduce socio-economic disparities using a life-course approach, which consequently could also impact HRQoL in later stages of life.

Match with the search results: The immaterial dimensions of the quality of life include Health, Education, Environmental Quality, Personal Security, Civic Engagement and Work-Life Balance. To ……. read more

Author: www.thebalancemoney.com

Date Submitted: 09/30/2020 03:13 AM

Average star voting: 5 ⭐ ( 65472 reviews)

Summary: Statistics Canada’s Quality of Life Statistics Program provides important information on quality of life in Canada for all, bringing together key economic, social and environmental datasets. Data and evidence on the well-being of people in Canada are examined based on the Quality of Life Framework for Canada’s five domains and approximately 85 indicators.

Match with the search results: Standard indicators of the quality of life include wealth, employment, the environment, physical and mental health, education, recreation and leisure time, ……. read more

Author: healthdimensionsgroup.com

Date Submitted: 01/11/2019 01:06 PM

Average star voting: 3 ⭐ ( 45858 reviews)

Summary: Cross-sectional explorative observational study. To identify factors which have an association to the self-perceived Quality of Life (QoL) for persons with acquired spinal cord injury (SCI). Eight specialized SCI-centers in Germany. The GerSCI survey is the German part of the International Spinal Cord Injury Survey (InSCI). Self-disclosure questionnaire, created from the InSCI group, translated and adapted for Germany. The questionnaire collects a very broad range of data and, and due to its design as a self-report, is particularly suitable for the analysis on QoL. Because of the content, which is binding for all participating states, it allows a direct comparability of the results. Included in Germany were 1479 persons with acquired SCI aged 18 years and older. Various factors were identified with high associations to QoL, including changeable and unchangeable ones, such as those of particular importance: pain, sleep problems, sexual dysfunction, age, and time since onset of SCI. Some results confirmed reports of previous studies, others were surprising. this study provides an important basis for the planned analysis of the InSCI participating countries in the 6 WHO regions. Germany was able to contribute the largest study population. The concrete study design of InSCI allows us to directly compare data and helps us to improve ourselves within the framework of a “learning health system”. Medical measures can be orientated towards the found results, in order to ensure the best possible care and support by the therapeutic team, individually adapted to the person, place of residence and impairment.

Match with the search results: Financial security, health, leisure time, and housing quality are some of the factors that contribute to quality of life. One survey ranked ……. read more

Author: www.economicshelp.org

Date Submitted: 08/16/2022 02:55 AM

Average star voting: 4 ⭐ ( 51217 reviews)

Summary:

Match with the search results: Centers for Disease Control and Prevention (CDC) on Health-related Quality of Life (HRQOL): an individual’s or a group’s perceived physical and ……. read more

Author: www.oecd.org

Date Submitted: 12/05/2021 04:33 PM

Average star voting: 4 ⭐ ( 44552 reviews)

Summary: Results of a survey and interviews of community stakeholders in the Greater Cambridge area found the factors that most affect quality of life in the region include personal relationships, public transport, and a sense of community.

Match with the search results: Quality of Life Indicators · GDP – the total output of an economy. · Distribution of Income in society. · Employment / Unemployment. · Life ……. read more

Author: www.ncbi.nlm.nih.gov

Date Submitted: 05/17/2021 07:52 AM

Average star voting: 3 ⭐ ( 53518 reviews)

Summary: ABSTRACT Objective：To survey the health-related quality of life (HRQoL) and its influencing factors among patients with COVID-19 in their first medical follow up. Methods: All patients diagnosed with COVID-19 were discharged from 12 hospitals in Wenzhou, Zhejiang from Jan 17, 2020 to Mar 20, 2020. Prospectively collected and analyzed data included demographics, clinical symptoms, comorbidity, and chest CT imaging features at the first follow up, one month after discharge. All patients underwent the HRQoL evaluation with the Chinese version of Short-Form 36-item questionnaire (SF-36) as well as a general condition questionnaire. Factors associated with SF-36 were constructed using linear regression. Predictors of impaired physical component summary (PCS) and a mental component summary (MCS) were identified by logistic regression. Results: SF-36 demonstrated a significant difference in HRQoL in patients with COVID-19, except in physical function (PF), when compared to the general Chinese population (p<0.05). The multiple linear regressions demonstrated that age was negatively associated with PF, role physical (RP), but positively associated with vitality (VT) (p<0.05). PF, bodily pain (BP), and role-emotional (RE) were negatively associated with the female sex (p<0.05). For mental health, the clinical subtypes were significant associated factors (p < 0.05). Length of stay (LOS) was strongly negatively associated with RE and RP, and positively associated with VT (p< 0.05). Logistical regression revealed that non-obese overweight (OR 3.71) and obesity (OR 3.94) were risk factors for a low PCS and female sex (OR 2.22) was a risk factor for a low MCS. Conclusions: Health-related quality of life was poor among COVID-19 patients at the one-month follow-up. Patients suffered from significant physical and psychological impairment. Therefore, prospective monitoring of individuals exposed to SARS-CoV-2 is needed in order to fully understand the long-term impact of COVID-19, as well as to inform prompt and efficient interventions to alleviate suffering.

Match with the search results: Indicators of perceived health status provide an imperfect proxy of the underlying concept of morbidity, as it may be affected by cultural influences and ……. read more

Author: www.ncbi.nlm.nih.gov

Date Submitted: 01/28/2019 06:29 PM

Average star voting: 5 ⭐ ( 74234 reviews)

Summary:

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