Quality of Life Predictors and Normative Data

This study identifies predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population. A cross-sectional correlational study was undertaken with two hundred and fifty-five (N = 255) individuals from Portuguese general population (mean age 43 years, range 25–84 years; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale. Demographic information was also collected. Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44 % of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25 % of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL and can be helpful for researchers and practitioners using this assessment tool to compare their results with normative data

Quality of life predictors and normative data

Purpose: Identify predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population Methods: A cross-sectional correlational study was undertaken with two hundred and fifty-five (N=255) individuals from Portuguese general population (mean age 43yrs, range 25-84yrs; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument (WHOQOL-Bref) and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale (CES-D). Demographic information was also collected. Results: Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44% of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25% of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. Conclusions: The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL

Optimização do processo de fabrico de componentes para a indústria automóvel

A qualidade é um factor-chave na indústria automóvel. Todos os fornecedores de componentes para a indústria automóvel estão sujeitos a qualificações e auditorias sistemáticas, com vista a melhorar os processos e verificar a sua rastreabilidade. Quando os processos assentam essencialmente em mão-de-obra intensiva, torna-se muito mais difícil atingir a ambicionada meta dos zero-defeitos, e a garantia da qualidade pode ficar comprometida, sendo necessário instalar procedimentos de controlo mais apurados. No entanto, se o processo ou processos forem convenientemente definidos, e se optar por capital intensivo em detrimento da mão-de-obra intensiva, a garantia da qualidade pode ser uma realidade, podendo ser fortemente minimizadas as operações de controlo da qualidade. Este trabalho teve por base a necessidade de reduzir fortemente, ou eliminar mesmo, o aparecimento de defeitos de montagem num sistema designado por remachado. Após cuidada análise do processo instalado, já parcialmente automatizado, mas ainda fortemente dependente de mão-de-obra, procedeu-se ao projecto de um equipamento capaz de reproduzir o mesmo efeito, mas que acomodasse alguns possíveis defeitos oriundos dos fornecedores dos componentes que são inseridos neste conjunto, colocados a montante na cadeia de fornecimento do produto. O equipamento resultante deste trabalho permitiu baixar o tempo de ciclo, acomodar a variabilidade dimensional detectada nos componentes que constituem o conjunto e reduzir drasticamente o número de não-conformidades.