Quality of life of stroke survivors: A cross-sectional study of association with functional independence, self-reported fatigue and exercise self-efficacy

2021 ◽  
pp. 174239532110239
Author(s):  
Omoyemi O Ogwumike ◽  
Abimbola A Omoregie ◽  
Olumide O Dada ◽  
Umaru M Badaru

Objectives Stroke is a leading cause of disability and one of the most debilitating conditions especially in the developing world. Rehabilitation focuses on improving functional ability which may enhance quality of life (QoL). The aims of this study were to investigate the association between QoL and each of functional independence (FI), self-reported fatigue (SRF) and exercise self-efficacy (ESE) in stroke survivors. Methods This is a descriptive cross-sectional survey, documenting QoL, FI, SRF and ESE of stroke survivors seen at the physiotherapy outpatient clinics of two health care facilities in Oyo state, Nigeria. Descriptive and inferential statistics were used to analyse the data with significance level set at 0.05. Results Participants were 110 stroke survivors (64 males; 46 females) aged 60.9 ± 11.9 years. Significant associations were found between QoL and each of FI and ESE (p < 0.01) while no significant association was observed for SRF. FI strongly predicts good QoL in stroke survivors (OR = 16.34; p < 0.01) and high ESE is a determinant of QoL (OR = 6.46; p = 0.04). Stroke survivors with SRF were less likely to report good QoL. Discussion Functional independence and exercise self-efficacy were directly associated with QoL and were also major predictors of good QoL in stroke survivors.

Author(s):  
José Andrade Louzado ◽  
Matheus Lopes Cortes ◽  
Márcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.


2019 ◽  
Vol 13 ◽  
Author(s):  
Nipaporn Butsing ◽  
Mathuros Tipayamongkholgul ◽  
Disya Ratanakorn ◽  
Nawarat Suwannapong ◽  
Kanitta Bundhamcharoen

AbstractSophisticated medical technologies can prolong a stroke patient’s life but not always their quality of life (QoL) due to poor functional outcomes. Social support can theoretically assist a patient’s adaptation to life after stroke and improve their QoL, but existing findings are inconclusive. This inconclusiveness is especially found in large cities where family and social bonding can be scarce. We conducted a hospital-based, cross-sectional study among 358 stroke patients to identify the effects of social support and functional outcome on QoL and its domains. The study took place in Bangkok, Thailand between July and December 2016. Data were collected by personal interview using a structured questionnaire that included the Short-Form WHO Quality of Life Instrument (WHOQOL-BREF) and by review of medical records. A hierarchical linear regression method was used to analyze data. The mean age of stroke respondents was 66.0 years (SD 13.5 years), and half were male. The mean total QoL score for patients was 68.6 (SD 15.2). Hierarchical multiple regression analysis found emotional support significantly impacted QoL in every domain (ps < .05) when all included variables were controlled for. To improve the quality of life among stroke survivors, health personnel and family members should provide not only physical assistance but also psychological support.


2018 ◽  
Vol 23 (2) ◽  
pp. 46-53 ◽  
Author(s):  
Sônia Rodrigues Dutra ◽  
Henrique Pretti ◽  
Milene Torres Martins ◽  
Cristiane Baccin Bendo ◽  
Miriam Pimenta Vale

ABSTRACT Objective: The aim of the present cross-sectional study was to assess the impact of malocclusion on the quality of life of children aged 8 to 10 years attending public elementary schools in Belo Horizonte, State of Minas Gerais, Brazil. Methods: The Brazilian version of the Child Perceptions Questionnaire 8-10 (CPQ8-10) was used to evaluate oral health-related quality of life. The children were examined for the diagnosis of malocclusion using the Dental Aesthetic Index (DAI). The data were analyzed by bivariate and multivariate descriptive statistics using Poisson regression at a 5% significance level. A total of 270 children participated in the study. Results: Children with normal occlusion or mild malocclusion (DAI ≤ 25) were 56% less likely (95%CI: 0.258-0.758; p= 0.003) to have their quality of life affected compared with children diagnosed with extremely severe malocclusion (DAI ≥ 36). Children with a maxillary anterior overjet ≥ 3 mm had higher CPQ8-10 mean scores (19.4; SD = 17.1) than those with an overjet < 3 mm (13.6; SD = 11.7; p= 0.038). Conclusions: Extremely severe malocclusion and pronounced maxillary anterior overjet were associated with a negative impact on quality of life.


2016 ◽  
Vol 26 (3-4) ◽  
pp. 477-484 ◽  
Author(s):  
Xi Su ◽  
Li Zhen ◽  
Mulan Zhu ◽  
Yinyi Kuang ◽  
Fang Qin ◽  
...  

2011 ◽  
Vol 9 (1) ◽  
pp. 29 ◽  
Author(s):  
Christine J McPherson ◽  
Keith G Wilson ◽  
Livia Chyurlia ◽  
Charles Leclerc

2018 ◽  
Vol 1 ◽  
pp. 22 ◽  
Author(s):  
Fred Maniragaba ◽  
Betty Kwagala ◽  
Emmanuel Bizimungu ◽  
Stephen Ojiambo Wandera ◽  
James Ntozi

Background: Little is known about the quality of life of older persons (OPs) in Uganda in particular, and Africa in general. This study examined factors associated with quality of life of older persons in rural Uganda. Method: We performed a cross-sectional survey of 912 older persons from the four regions of Uganda. Data were analyzed at univariate, bivariate and multivariate level where ordinal logistic regression was applied. Results: Older persons in northern (OR=0.39; CI=0.224-0.711) and western (OR=0.33; CI=0.185-0.594) regions had poor quality of life relative to those in central region. Those who were HIV positive had poor quality of life (OR=0.45; CI=0.220-0.928) compared to those who were HIV negative. In contrast, living in permanent houses predicted good quality of life (OR=2.04; CI=1.391-3.002). Older persons whose household assets were controlled by their spouses were associated with good quality of life (OR=2.06;CI=1.032-4.107) relative to those whose assets were controlled by their children. Conclusion: Interventions mitigating the HIV and AIDS related Quality of life should target older persons. The government of Uganda should consider improving housing conditions for older persons in rural areas.


2020 ◽  
Vol 73 (suppl 1) ◽  
Author(s):  
Jéssica Morgana Gediel Pinheiro ◽  
Andreia Barcellos Teixeira Macedo ◽  
Liliana Antoniolli ◽  
Thayane Martins Dornelles ◽  
Juliana Petri Tavares ◽  
...  

ABSTRACT Objective: To assess quality of life, prevalence of depressive and minor psychiatric symptoms in Nursing students. Methods: Cross-sectional study, conducted from March to April 2018, at a federal university. Sample composed of 242 Nursing students, from the 1st to the 8th semester. Data was collected using the quality of life instruments, Beck Depression Inventory and Self-Report Questionnaire. A significance level of 0.05 was considered. Results: The mean age was 22.9 ± 5.1 years. It was found that 25% of the students had severe depressive symptoms and 54% of the students had minor psychiatric disorders, with a higher prevalence in the first semesters. An inverse relationship was observed between the frequency of depressive symptoms and quality of life scores (p = 0.05). Conclusion: Nursing students showed a high prevalence of depressive symptoms, indicating the importance of implementing actions to promote and prevent mental health.


Author(s):  
José Andrade Louzado ◽  
Matheus Lopes Cortes ◽  
Marcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  

Background: This study aimed to assess the quality of life associated with gender inequalities in formal workers and to determine the effect of sociodemographic, clinical, and behavioral factors on the quality of life (QOL). Methods: This cross-sectional study involved 1270 workers. Quality of life was measured using the EUROHIS-QOL 8-Item and assessed in terms of psychological, environmental, social, and physical domains, while demographic, socioeconomic, behavioral, and clinical variables served as explanatory variables. Analyses were performed using an ordinal logistic regression model whose significance level was 5%. Results: Of the participants, 80.2% were men, and 19.8% were women; the mean age was 34 (standard deviation: ±10) and 32 (±9) years, respectively. In all prediction scenarios, men were more likely to have a higher quality of life, especially in the physical (odds ratio: 2.16; 95% confidence interval: 1.60–2.93) and psychological (odds ratio: 2.09; 95% confidence interval: 1.51–2.91) domains. Conclusions: Men and women had significantly different levels of quality of life, and sociodemographic, clinical, and behavioral variables partially clarified these differences, which were possibly established by a socio-historical process of construction of the work role determined by gender issues.


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