Navegando por Palavras-chave "Climacteric symptoms"

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    Estudo do binômio insônia-dor musculoesquelética crônica na pós-menopausa
    (Universidade Federal de São Paulo (UNIFESP), 2017-11-30) Frange, Cristina Mattos Pereira [UNIFESP]; Andersen, Monica Levy [UNIFESP]; Hachul, Helena [UNIFESP]; http://lattes.cnpq.br/0292346083994904; http://lattes.cnpq.br/4951931552005515; http://lattes.cnpq.br/5507825991578153; Universidade Federal de São Paulo (UNIFESP)
    Sleep and pain are assumed to share a reciprocal relationship. Chronic musculoskeletal pain, and sleep disorders such as insomnia are two central symptoms of menopause symptomatology. Although postmenopausal women often suffer from both, there is a lack of studies addressing these two factors and their interaction. The objectives of this study were therefore to investigate the relationship between these two factors and their effect on sleep quality and pattern; chronic musculoskeletal pain severity, intensity and interference in daily function, the number of pain sites; menopausal and mood symptoms; and quality of life. We examined this relationship between sleep and chronic musculoskeletal pain, through a 10-day temporal analysis. Our sample was composed of 4 groups: CTRL - control group, absence of diagnosis of insomnia and musculoskeletal pain; CMP Group - absence of insomnia and complaint of chronic musculoskeletal pain; INS Group - clinical diagnosis of insomnia and absence of chronic musculoskeletal pain and CMP+INS Group - clinical diagnosis of insomnia and presence of complaint of chronic musculoskeletal pain. We performed two analyzes: coss sectional and microlongitudinal. All volunteers answered questionnaires about pain, quality of sleep and life, climacteric, anxiety and depression symptoms, and blood samples were collected for confirmation of postmenopausal status, and we performed polysomnography and actigraphy exams. Our results indicate that insomnia by itself was associated with more self-reported pain. The presence of chronic musculoskeletal pain alone does not modify sleep, either subjectively or objectively. However, the association of both comorbidities was related to worsening menopausal and anxiety symptoms, higher sleep fragmentation, worse severity of chronic musculoskeletal pain, as well as more interference in daily activities and more pain sites, and also lower quality of life. Our findings indicated that the higher the sleep duration, the higher the pain intensity upon waking, while increased pain at bedtime predicted longer sleep duration and also time in bed in postmenopausal women. These results strongly suggest that sleep and pain conditions should both be targeted in the treatment of postmenopausal women in order to improve quality of life and reduce the possible development of comorbidities, such as anxiety and depression.
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    Poor-fit indexes of Kupperman index: a psychometric analysis based on item response theory
    (Lippincott Williams & Wilkins, 2015-04-01) Cogo-Moreira, Hugo [UNIFESP]; Jackowski, Andrea P. [UNIFESP]; Araujo, Teresa R. E. de [UNIFESP]; Laprano Vieira, Lucia Helena [UNIFESP]; Haidar, Mauro Abi [UNIFESP]; Silva, Ivaldo [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)
    Objective: This study aims to test the construct validity of the 11 items of the Kupperman index (KI), which has been pioneering in its attempt to quantify climacteric symptoms.Methods: Unidimensional confirmatory factor analysis of the 11 graded items (hot flashes, paresthesia, insomnia, nervousness, melancholia, vertigo, weakness, arthralgia or myalgia, headache, palpitations, and formication), using a four-point scale (0, none; 4, severe), was used to evaluate the KI in a sample consisting of 84 women with a mean (SD) age of 54.34 (4.00) years who have been in menopause for a mean (SD) of 4.36 (2.53) years.Results: the KI returned poor results on unidimensional model testing (root-mean-square error adjustment, 0.109; 90% CI, 0.075-0.142; comparative fit index, 0.871; Tucker Lewis index, 0.838; weighted root-mean-square residual, 0.971; chi(2)(44) = 87.599; P < 0.001), indicating that the set of items does not properly evaluate the underlying phenomena (climacteric symptoms).Conclusions: Our study verifies the poor fit of the KI and provides psychometric evidence that KI items warrant revision and/or that the concept underlying climacteric symptoms should be revisited.