Medidas sumário física e mental de estado de saúde para a população portuguesa

Ferreira, Pedro Lopes; Ferreira, Lara Noronha; Pereira, Luìs Nobre

doi:10.1016/j.rpsp.2012.12.007

Cited by 45 publications

(60 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…p \ 0.05 was accepted as statistically significant. Total score and mental and physical components summaries of SF-36 were calculated according to Ferreira et al [20] methodology. It included a Z-score transformation for each dimension, followed by an arithmetic component (*10 ?…”

Section: Discussionmentioning

confidence: 99%

“…The scores of the mental component summary (MCS) and the PCS were derived from the eight different domains, originally developed for the Short Form Health Survey (SF-36). The domains included in PCS are physical functioning, role-physical, pain and general health, and in MCS are vitality, social functioning, role-emotional and mental health [19,20]. Total score was also calculated and includes the eight domains of SF-36 questionnaire.…”

Section: Kidney Disease Quality Of Life Questionnaire-short Formmentioning

confidence: 99%

See 1 more Smart Citation

Predictors of health-related quality of life perceived by end-stage renal disease patients under online hemodiafiltration

Moura

Madureira²,

Alija³

et al. 2014

Qual Life Res

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Kidney Disease Quality Of Life Questionnaire-short Formmentioning

confidence: 99%

Predictors of health-related quality of life perceived by end-stage renal disease patients under online hemodiafiltration

Moura

Madureira²,

Alija³

et al. 2014

Qual Life Res

View full text Add to dashboard Cite

show abstract

“…As the significance of a chi-square test is dependent on the number of participants, other goodness-of-fit indexes were also used. Chi square/degree of freedom ratio (CMIN/DF) (<.5); goodness-of-fit statistic (GFI) and comparative fit index (CFI) and AGFI (>0.95 suggesting good fit), and root mean square error of approximation (RMSEA) (>0.05 suggesting good fit) [23,24]. Based on multivariate Lagrange Multiplier (LM) tests, post-hoc modifications to the proposed model were made to add new paths as necessary.…”

Section: Discussionmentioning

confidence: 99%

Spirituality and Quality of Life in Older Adults: Path Analyse Model

Lima

Teixeira

Esteves

et al. 2019

Preprint

View full text Add to dashboard Cite

Background: Study older adults' quality of life is becoming increasingly important in the assessment, quality improvement and allocation of health and social care service. The purpose of this study was to enhance knowledge on the relationship between modifiable (psychological variables) and nonmodifiable variables (sociodemographic), and quality of life in elderly, in order to inform social, health and education policies.Methods: This is a cross-sectional study, including 604 older adults from general community. 63.6% of the sample was composed by female gender with a mean age of 71.6(SD=4.81). Participants completed the following instruments: Barthel Index to assess functionality; Satisfaction with Social Support Scale to assess social support; The Spiritual and Religious Attitudes in Dealing with Illness to assess spirituality and Short Form Health Survey 36, to assess mental and physical quality of life. Results: A path analysis model was performed where the presence of a chronic disease, age and functionality has a direct effect on physical quality of life and spirituality had a direct effect on mental quality of life. Social support mediated the relationship between functionality and mental quality of life, and in turn, functionality mediated the relationship between age and physical quality of life. Conclusions: Results reinforce the effect of age and chronic disease as non-modifiable variables as well as functionality, spirituality and satisfaction with social support as modifiable variables, in the quality of life of older people. Social support, health and education programs in the community should be promoted in order to improve quality of life in this population. Strategies to promote functionality and enhance the social support network, especially in the elder with chronic illness, should be a priority.

show abstract

“…Mental and physical component summaries of SF-36 were calculated according to Ferreira et al methodology (Ferreira et al, 2012). It included a Z-score transformation for each dimension, followed by an arithmetic component (*10 þ 50), added after the sum of the Z-transformed corresponding dimensions.…”

Section: Discussionmentioning

confidence: 99%

Risk factors for mortality in end-stage kidney disease patients under online-hemodiafiltration: three-year follow-up study

Sousa-Martins

Moura

Madureira³

et al. 2016

Biomarkers

View full text Add to dashboard Cite

The aim of this work was to evaluate the predictors of mortality in a group of end-stage kidney disease (ESRD) patients under dialysis, by performing a three-year follow-up study. From the 236 patients included in this study, 54 patients died during the three-year follow-up period. Our data showed that the risk of death was higher in patients presenting lower levels of mean cell hemoglobin concentration, transferrin, and albumin. Our study showed that poor nutritional status and an inflammatory-induced iron depleted erythropoiesis are important factors for mortality in these patients.

show abstract

Medidas sumário física e mental de estado de saúde para a população portuguesa

Cited by 45 publications

References 12 publications

Predictors of health-related quality of life perceived by end-stage renal disease patients under online hemodiafiltration

Predictors of health-related quality of life perceived by end-stage renal disease patients under online hemodiafiltration

Spirituality and Quality of Life in Older Adults: Path Analyse Model

Risk factors for mortality in end-stage kidney disease patients under online-hemodiafiltration: three-year follow-up study

Contact Info

Product

Resources

About