BackgroundTo examine an association between self-reported sleep quality determined by Pittsburgh sleep quality index (PSQI) and metabolic syndrome.MethodsThis study was designed as cross-sectional study. Participants were 1481 adults aged 20 years and above from general population (549 males and 932 females). We assessed the global sleep quality by PSQI. PSQI consists of 7 elements, i.e. subjective sleep quality, sleep latency (prolonged sleep onset time), sleep duration, habitual sleep efficiency (proportion of hours slept to hours spent in bed), sleep disturbance (interruption of sleep), use of sleep medication and daytime dysfunction (trouble staying awake while engaging in social activity). Any participants with score of 6 or more are diagnosed to have sleep disorder. We also assessed the above 7 elements, which consisted of a four-grade system (i.e. 0, 1, 2, 3). Metabolic syndrome consisted of abdominal obesity, hypertension, impaired glucose tolerance and dyslipidemia. Diagnosis of metabolic syndrome was done when the participants have abdominal obesity and meet two or more other components. All analyses were adjusted by age, drinking habit, smoking habit, working hours, exercise habit and depression.ResultsFifty-two male participants (9.5%) and 133 female (14.3%) scored 6 or more points in global PSQI score. The global PSQI score, sleep latency score and sleep disturbance score of participants with metabolic syndrome were higher level than those without the condition (p < 0.001, p = 0.009, p = 0.025 for male and p < 0.001, p < 0.001, p = 0.002 for females, respectively). The odds ratio of metabolic syndrome among participants with PSQI score of 6 or more points were 2.37 (95% confidence interval: 1.23-4.58) for males and 2.71 (1.45-5.07) for females in contrast to those with 5 or less points. The odds ratio of metabolic syndrome with sleep latency score of 2 was 2.65 (1.14-6.15) for male and 3.82 (1.81-8.09) for females in contrast with those of 0. The odds ratio of metabolic syndrome with sleep disturbance score of 1 was 1.76 (1.09-2.86) for males and 2.43 (1.26-4.69) for females in contrast with those of 0.ConclusionsGlobal PSQI score and its components (especially, sleep latency and sleep disturbance) were associated with metabolic syndrome.
Due to the likelihood of physical and mental health impacts following the unprecedented accident at the Fukushima Dai-ichi Nuclear Power Plant, the Fukushima prefectural government decided to conduct the Fukushima Health Management Survey to assist in the long-term health management of residents. This included thyroid ultrasound examination for all children in Fukushima. For appropriate evaluation of ultrasound screening of the thyroid, it is important to understand its reference data of thyroid findings in children in general. In order to analyze the frequencies of specific thyroid findings, we conducted ultrasound screening of the thyroid by the same procedures as used in Fukushima in 4,365 children, aged 3 to 18 years, from three Japanese prefectures. Overall, thyroid cysts were identified in 56.88% and thyroid nodules in 1.65% of the participants. Thyroid cysts and nodules with a maximum diameter of more than 5 mm were identified in 4.58% and 1.01%, respectively, and age-adjusted prevalences were 3.82% and 0.99%, respectively. Although the prevalence of cysts and nodules varied among the examination areas, no significant differences were observed among the three examination areas in the prevalence of cysts and nodules with a maximum diameter of more than 5 mm. Also, the prevalence of thyroid cysts and nodules, especially those with a maximum diameter of more than 5 mm, significantly increased with age, and showed a female predominance. We also identified ectopic thymus (1.95%), diffuse goiter (1.40%), ultimobranchial body (0.73%), lymph node swelling (0.21%) and thyroid agenesis (0.05%). This is the first ultrasound description of the age-adjusted prevalence of thyroid cysts and nodules, or of the prevalence of abnormalities other than cysts and nodules, such as ectopic thymus, in relation to age, in the general Japanese child population. We contend that this can provide relevant information for the Fukushima Health Management Survey and future population studies.
Objective. Sleep disturbances frequently accompany chronic pain from osteoarthritis (OA). Effective management of sleep disturbances may require successful treatment of chronic pain, a key factor in the clinical evaluation of knee OA. However, the relationship between the severity of knee OA and sleep quality is unclear. Our purpose was to correlate the prevalence of nocturnal knee pain with different OA severity levels and to determine its influence on sleep quality. Methods. Subjects included 1,214 local volunteers with mean ؎ SD age 58.1 ؎ 13.0 years. The existence and severity of knee OA were determined by the Kellgren/Lawrence (K/L) grade, and joint space widths were measured. The presence of nocturnal knee pain and Knee Injury and Osteoarthritis Outcome Scores (KOOS) were assessed by self-completed questionnaires. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index. Knee-related factors affecting sleep quality were detected using statistical methods. Results. The prevalence of nocturnal knee pain was 3.6%, 6.9%, 19.4%, 32.7%, and 75.0% in K/L grades 0, 1, 2, 3, and 4, respectively. Also, prevalence significantly increased with OA severity (P < 0.001). Sleep problems also increased with K/L grade (P ؍ 0.038), and KOOS quality of life (QOL) was significantly lower in those with OA and sleep problems. Logistic regression showed that sleep problems were related to joint space narrowing (P ؍ 0.016) and nocturnal knee pain (P ؍ 0.039). Severe OA also disturbed onset and maintenance of sleep. Conclusion. The prevalence of nocturnal knee pain and sleep problems increased with the severity of OA, impacting QOL. These results suggest the necessity of appropriate nocturnal pain control.
Aim:The aim of this study was to investigate the association between subjective memory complaints (SMC) and sex. Methods:We researched the prevalence of SMC in a sample of 394 participants who were at least 60 years of age (138 male and 256 female). We also administered the Mini-Mental State Examination (MMSE) and the Center for Epidemiologic Studies for Depression (CES-D) scale. A multiple logistic regression analysis, which included SMC in association with the MMSE or CES-D scores and other confounding factors, was performed to determine the influence of sex on SMC. A P-value < 0.05 was considered statistically significant. Results:The durations of education of male participants were significantly higher than those of female participants. MMSE scores for female participants were significantly higher than those for male participants. There was no significant difference in CES-D scores between male and female participants. Twenty-four male participants and 72 female participants showed evidence of SMC. The incidence of SMC was more frequent in female participants than in male participants. In all participants, sex difference and CES-D score were significantly associated with SMC. In male participants, MMSE score was independently and significantly associated with SMC. Both in female participants and all participants, CES-D score was independently and significantly associated with SMC.Conclusion: SMC varied by sex and were associated with the degree of cognitive impairment in male participants, while they were associated with depressive symptoms in female participants.
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