Conceptual Framework for the Research on Quality of Life

Rodrigues, José; Borrego, Carla Chicau; Ruivo, Paula; Sobreiro, Pedro; Chelo, David; Amendoeira, José; Matos, Rui

doi:10.3390/su12124911

Cited by 7 publications

(8 citation statements)

References 61 publications

(63 reference statements)

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“…According to them, the idiom quality of life is frequently used as a concept but it is very vague, because it involves diverse social, cultural, economic, regional and other aspects and thus, the measurement of quality of life in a precise form remains elusive. Rodrigues et al (2020) presented the reference framework for multidisciplinary research at the Life Quality Research Centre (LQRC). The research paradigm about the people's quality of life in society imposes a multifaceted and complex analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This should be translated into relevant policies. The idea of quality of life is closely related to SD (Rodrigues et al, 2020). Jones and John (1977) applied some criteria in measuring quality of life, such as per capita and household income, unemployment rate, housing cost, infant mortality, suicide rate, robbery, traffic rate, voting in presidential election, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

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Factors of Quality of Life in a Group of Selected European Union and OECD Countries

Drastichová¹,

Filzmoser²

2021

PROBL EKOROZW

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This work focuses on the evaluation of the factors of quality of life in a sample of 26 countries. Quality of life is a complex, multidimensional concept, which includes various social, cultural, economic, political, demographic and environmental aspects. Regarding this, principal component analysis and regression analysis were chosen as relevant methods to analyse relationships among twenty-five variables related to quality of life, and their rela-tionships with three composite indices reflecting crucial aspects of quality of life, wellbeing and sustainability. These indices, applied as the response variables in the regression analysis, include the inequality-adjusted alter-native of the Human Development Index (IHDI), the Happy Planet Index (HPI), and Healthy Life Years (HLY). The IHDI represents an objective indicator of human development and wellbeing. HLY reflects quality of life in terms of health. The HPI combines the ecological efficiency with which human wellbeing is delivered, while it also includes a subjective measure of wellbeing. Since each of these indices represent different aspects of quality of life to a certain extent, some of the factors (represented by selected indicators) affected them in different ways. After applying a Lasso regression, nine of the 25 indicators – representing crucial factors of quality of life – were identified. Homicide rate (representing the factor of safety) affected all three indices in a negative way, whereas Years in education (representing the factor of education) and Life satisfaction – a subjective indicator of wellbeing representing the dimension of the same name, affected them positively.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Factors of Quality of Life in a Group of Selected European Union and OECD Countries

Drastichová¹,

Filzmoser²

2021

PROBL EKOROZW

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“…Research on citizens' quality of life is an overlapping, multidisciplinary and fundamental issue concerning current society (Rodrigues et al, 2020). Subjective well-being turns quality of life into a value that each citizen gives to their social and individual status, in a society in which people relate and interact in order to satisfy their ambitions, needs and expectations.…”

Section: Introductionmentioning

confidence: 99%

Running involvement, loyalty to running, and subjective well-being: A cluster analysis

Silva¹,

Sobreiro

2022

Cuad. psicol. deporte

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One of the main policy objectives of many government Sports and Health Departments is to increase sports participation to promote citizens’ health and well-being. Running is, after football, perhaps the most popular physical activity. In recent years, studies analysing the effects of physical activity on an individual’s subjective well-being have been rare (Wiese et al. 2017), nor have been well established (Panza et al., 2019), and several gaps seem to exist in the literature (Dolan et al. 2008). The present study uses cluster analysis with the aim of identifying segments of runners based upon running involvement, loyalty to running and subjective well-being. A sample of 736 runners from one of Portugal's most popular athletics races completed a questionnaire, to assess, running involvement (centrality and attraction), loyalty to running, subjective well-being and socio-demographic variables. 52.9% of the respondents were men, and 47.1% were women. The number of clusters was determined using the Bayesian Information Criterion (Schwarz, 1978). Four significant clusters were identified, consisting of one (cluster 4) with relevant levels and another (cluster 2) with lower levels of subjective well-being. The main result showed that the cluster with the highest level of subjective well-being was not the group of runners with the highest level of loyalty to the race. Some clusters reflect relevant age and gender differences. The results allow us to draw an important conclusion: The need to design strategies based on the clusters identified to promote sports participation through running, with the aim of increasing running involvement and subjective well-being. Uno de los principales objetivos de política de muchos departamentos gubernamentales de deporte y salud es aumentar la participación deportiva para promover la salud y el bienestar de los ciudadanos. En los últimos años, los estudios que analizan los efectos de la actividad física en el bienestar subjetivo de un individuo son raros (Wiese et al. 2017), no han sido bien establecidos (Panza et al., 2019) y varias lagunas parecen existir en la literatura (Dolan et al. 2008). El presente estudio utiliza el análisis de clusters con el objetivo de identificar segmentos de corredores basados en la implicación en la carrera, la lealtad a la carrera y el bienestar subjetivo. Una muestra de 736 corredores de una de las carreras de atletismo más populares de Portugal completó un cuestionario, evaluando, la implicación, la lealtad a la carrera, el bienestar subjetivo y las variables sociodemográficas. El 52,9% de los encuestados eran hombres y el 47,1% mujeres. El número de clusters se determinó utilizando el BIC (Schwarz, 1978). Se identificaron cuatro clusters significativos, reflejando, uno (grupo 4) niveles relevantes y el otro (grupo 2) los niveles más bajos de bienestar subjetivo. El principal resultado mostró que el clúster con el más alto nivel de bienestar subjetivo no era el grupo de corredores con el más alto nivel de lealtad a la carrera. Los resultados nos permiten sacar una gran conclusión: La necesidad de diseñar estrategias centradas en los clústeres identificados para promover la participación deportiva através prática da carrera y aumentar el bienestar subjetivo. Um dos principais objetivos da política de muitos governos é aumentar a participação desportiva para promover a saúde e o bem-estar dos cidadãos. Estudos que analisaram os efeitos da atividade física sobre o bem-estar subjetivo dos indivíduos são raros (Wiese et al., 2017), não estão bem estabelecidos (Panza et al., 2019) e várias lacunas persistem (Dolan et al., 2008). O objetivo do artigo é identificar segmentos de corredores, através da análise de clusters, com base no envolvimento com a corrida, lealdade à corrida e bem-estar subjetivo dos corredores. Uma amostra de 736 corredores de uma das corridas de atletismo mais populares de Portugal respondeu a um questionário. Foram avaliados os constructos: envolvimento com a corrida (centralidade e atracção), lealdade à corrida, bem-estar subjetivo e variáveis sociodemográficas. 52,9% dos indivíduos eram homens e 47,1% eram mulheres. A identificação e o número de clusters foram obtidos usando o Bayesian Information Criterion. Foram identificados quatro clusters significativos, refletindo, um deles (cluster 4) níveis relevantes e outro (cluster 2) os níveis mais reduzidos de bem-estar subjetivo. O resultado principal mostrou que o cluster com o mais elevado nível de bem-estar subjetivo não foi o grupo dos corredores com maior nível de lealdade à corrida. Alguns clusters refletem diferenças relevantes de idade e género. Os resultados permitem tirar uma grande conclusão: A necessidade de desenhar estratégias focadas nos clusters identificados para promover a participação desportiva através da corrida, com o objetivo de elevar o envolvimento com a corrida e o bem-estar subjetivo dos indivíduos.

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“…The desire to have a high quality and desirable life always exists in people(1)and is one of the main research activities to assess the public health of people (2). The purpose of contemporary societies focuses on the physical, psychological and social well-being of the population, translated as a set of policies and actions aimed at contributing effort for the repair of Quality of Life and assessment of the concept (3).The concept of Quality of Life is considered an interdisciplinary and dynamic concept that changes over time (4)and many different definitions have been proposed (5) (6) (7). The World Health Organization defines Quality of life as: "Quality of life is determined by a person's individual perception of their position in life, in the cultural context and value systems in which they live and concerning their goals, expectations, relationships and needs" (8).Despite the fact that some experts have defined Quality of Life as life satisfaction, others see it as the degree of satisfaction with the possibilities of that life.…”

Section: Introductionmentioning

confidence: 99%

Status of the Quality-of-Life Index and its Related Factors in the Women of Rasht: A Population-Based Study

Namazi¹,

Rafiey²,

Mousavi³

et al. 2021

Preprint

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Background: Quality of Life is a key element in social policy so that its placement on the agenda of community development has a constructive and positive effect on the life and performance of the individual and society. This study was designed to assess the status of a quality-of-life index and some related factors in the public population of women in Rasht, which is the capital city of Guilan Province, Iran. Methods: This cross-sectional study was performed on 800 women in Rasht who were selected by cluster random sampling. The data collection tool was the Ferrans and Powers Quality of Life questionnaire, which has two parts: Satisfaction and Importance with life. Each section consists of four subscales: Health and performance, Social and economic, Psychological/spiritual, and Family. Its scoring is done on the Likert scale. Data analysis was done using descriptive statistics and one-way analysis of variance, independent t-test and regression. Results: The mean score (SD) of the quality-of-life index in this study was 21.39(4.10), which was higher than the mean level and showed a relatively good condition. There was a statistically significant difference between the mean score of the quality-of-life index in terms of education level, but within age groups, this difference was not significant. Correlation tests showed no statistically significant relationship between duration of the marriage, age of marriage and age of spouse with the women’s quality-of-life score of (p> 0.05). Conclusions: Although the quality of life of the women studied was above average, appropriate interventions should be designed to maintain and improve it, because the feeling of satisfaction increases the ability to cope with problems and mental pressures and improves the level of mental and physical health of couples and ultimately of all members of society.

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Conceptual Framework for the Research on Quality of Life

Cited by 7 publications

References 61 publications

Factors of Quality of Life in a Group of Selected European Union and OECD Countries

Factors of Quality of Life in a Group of Selected European Union and OECD Countries

Running involvement, loyalty to running, and subjective well-being: A cluster analysis

Status of the Quality-of-Life Index and its Related Factors in the Women of Rasht: A Population-Based Study

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