24 research outputs found

    Insufficient Rest or Sleep and Its Relation to Cardiovascular Disease, Diabetes and Obesity in a National, Multiethnic Sample

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    BACKGROUND: A new question on insufficient rest/sleep was included in the 2008 Behavioral Risk Factor Surveillance System (BRFSS) for the 50 states, District of Columbia, and three US territories. No previous study, however, has examined perceived insufficient rest/sleep in relation to cardiovascular disease (CVD) or diabetes mellitus. We examined the association between self-reported insufficient rest/sleep and CVD, diabetes, and obesity in a contemporary sample of US adults. METHODS: Multiethnic, nationally representative, cross-sectional survey (2008 BRFSS) participants were >20 years of age (n=372, 144, 50% women). Self-reported insufficient rest/sleep in the previous month was categorized into four groups: zero, 1-13, 14-29, and 30 days. There were five outcomes: 1) any CVD, 2) coronary heart disease (CHD), 3) stroke, 4) diabetes mellitus, and 5) obesity (body mass index≥30 kg/m2). We employed multivariable logistic regression to calculate odds ratio (OR), (95% confidence interval (CI), of increasing categories of insufficient rest/sleep, taking zero days of insufficient rest/sleep as the referent category. PRINCIPAL FINDINGS: Insufficient rest/sleep was found to be associated with 1) any CVD, 2) CHD, 3) stroke, 4) diabetes mellitus, and 5) obesity, in separate analyses. Compared to those reporting zero days of insufficient sleep (referent), the OR (95% CI) associated with all 30 days of insufficient sleep was 1.67 (1.55-1.79) for any cardiovascular disease, 1.69(1.56-1.83) for CHD, 1.51(1.36-1.68) for stroke, 1.31(1.21-1.41) for diabetes, and 1.51 (1.43-1.59) for obesity. CONCLUSIONS: In a multiethnic sample of US adults, perceived insufficient rest/sleep was found to be independently associated with CHD, stroke, diabetes mellitus and obesity

    Body weight, metabolism and clock genes

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    Biological rhythms are present in the lives of almost all organisms ranging from plants to more evolved creatures. These oscillations allow the anticipation of many physiological and behavioral mechanisms thus enabling coordination of rhythms in a timely manner, adaption to environmental changes and more efficient organization of the cellular processes responsible for survival of both the individual and the species. Many components of energy homeostasis exhibit circadian rhythms, which are regulated by central (suprachiasmatic nucleus) and peripheral (located in other tissues) circadian clocks. Adipocyte plays an important role in the regulation of energy homeostasis, the signaling of satiety and cellular differentiation and proliferation. Also, the adipocyte circadian clock is probably involved in the control of many of these functions. Thus, circadian clocks are implicated in the control of energy balance, feeding behavior and consequently in the regulation of body weight. In this regard, alterations in clock genes and rhythms can interfere with the complex mechanism of metabolic and hormonal anticipation, contributing to multifactorial diseases such as obesity and diabetes. The aim of this review was to define circadian clocks by describing their functioning and role in the whole body and in adipocyte metabolism, as well as their influence on body weight control and the development of obesity

    Sleep duration and weight loss among overweight/obese women enrolled in a behavioral weight loss program

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    OBJECTIVE: The purpose of this study was to examine whether baseline sleep duration predicts weight loss outcomes in a randomized controlled trial examining a behavioral weight loss (BWL) intervention among overweight and obese (OW/OB) women with urinary incontinence; and whether participation in the BWL intervention is associated with changes in sleep duration. DESIGN: Longitudinal, clinical intervention study of a 6-month BWL program. SUBJECTS: Three hundred sixteen OW/OB women, with urinary incontinence (age: 30–81 years, body mass index (BMI; 25–50 kg m(−2)) enrolled from July 2004–April 2006. MEASUREMENTS: Measured height and weight, self-report measures of demographics, sleep and physical activity. RESULTS: Neither self-reported total sleep time (TST) nor time in bed (TIB) at baseline significantly predicted weight loss outcomes among OW/OB women in a BWL treatment. BWL treatment was successful regardless of how much subjects reported sleeping at baseline, with an average weight loss of 8.19 kg for OW/OB women receiving BWL treatment, versus a weight loss of 1.44 kg in the control condition. Similarly, changes in weight, BMI and incontinence episodes did not significantly predict changes in sleep duration or TIB across the treatment period. CONCLUSION: Although epidemiological and cross-sectional studies support a relationship between short sleep and increased BMI, the present study found no significant relationship between TST or TIB and weight loss for OW/OB women participating in a BWL treatment

    Síndrome da apneia obstrutiva do sono em motoristas de caminhão Obstructive sleep apnea syndrome in truck drivers

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    OBJETIVO: Estimar a prevalência da síndrome da apneia obstrutiva do sono (SAOS) e verificar os fatores associados à chance de desenvolver SAOS em motoristas de caminhão. MÉTODOS: A população desse estudo constituiu-se de motoristas de caminhão de duas filiais de uma empresa transportadora (n = 209), com idade média de 38,8 anos, sendo 98,5% do sexo masculino. O índice de massa corpórea médio foi de 26,5 ± 4,4 kg/m². Os participantes responderam questionários sobre dados sociodemográficos, atividade física e SAOS. A prevalência de SAOS foi estimada por meio do Questionário de Berlim e sua associação com os fatores estudados foi verificada pela análise de regressão univariada e multivariada. RESULTADOS: A prevalência de SAOS na população foi de 11,5%. Dos 209 motoristas, 72 (34,5%) referiram dormir ao volante enquanto dirigiam ao menos uma vez e 81 (38,7%) referiram roncar durante o sono. As variáveis estatisticamente significativas associadas à SAOS foram vínculo empregatício informal (OR = 0,27; p = 0,01), índice de massa corpórea > 25 kg/m² (OR = 13,64; p = 0,01) e qualidade do sono ruim (OR = 3,00; p = 0,02). CONCLUSÕES: Apesar de a prevalência de SAOS ter sido inferior à observada em outros estudos com motoristas, essa prevalência é superior à da população em geral. Os resultados ainda sugerem que as características do trabalho, entre as quais o vínculo de trabalho, estão associadas à SAOS. Esses dados evidenciam a relevância de se levar em consideração a atividade de trabalho em estudos que investiguem fatores associados à SAOS.<br>OBJECTIVE: To determine the prevalence of obstructive sleep apnea syndrome (OSAS), as well as to identify factors associated with a greater risk of developing OSAS, among truck drivers. METHODS: The study population comprised 209 truck drivers (mean age, 38.8 years; 98.5% males) at two branches of a transportation company. The mean body mass index was 26.5 ± 4.4 kg/m². The participants completed questionnaires regarding sociodemographic data, physical activity and OSAS. The prevalence of OSAS was estimated using the Berlin Questionnaire, associations between OSAS and the factors studied being assessed through univariate and multivariate regression analysis. RESULTS: The prevalence of OSAS in the population was 11.5%. Of the 209 truck drivers, 72 (34.5%) reported having fallen asleep while driving and 81 (38.7%) reported snoring. The following variables were found to present statistically significant associations with OSAS: informal employment (OR = 0.27; p = 0.01); body mass index > 25 kg/m² (OR = 13.64; p = 0.01); and poor sleep quality (OR = 3.00; p = 0.02). CONCLUSIONS: The prevalence of OSAS in this study was lower than that reported in other studies of truck drivers and yet higher that that observed for the general population. In addition, our results suggest that work characteristics, such as employment status, are associated with OSAS. These data show the relevance of considering work activity in studies of factors associated with OSAS

    Association between sleeping hours, working hours and obesity in Hong Kong Chinese: the ‘better health for better Hong Kong’ health promotion campaign

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    Objective: To study the inter-relationships between sleeping hours, working hours and obesity in subjects from a working population. Research design: A cross-sectional observation study under the 'Better Health for Better Hong Kong' Campaign, which is a territory-wide health awareness and promotion program. Subjects: 4793 subjects (2353 (49.1%) men and 2440 (50.9%) women). Their mean age (±s.d.) was 42.4±8.9 years (range 17-83 years, median 43.0 years). Subjects were randomly selected using computer-generated codes in accordance to the distribution of occupational groups in Hong Kong. Results: The mean daily sleeping time was 7.06±1.03 h (women vs men: 7.14±1.08 h vs 6.98±0.96 h, P=0.001). Increasing body mass index (BMI) was associated with reducing number of sleeping hours and increasing number of working hours reaching significance in the whole group as well as among male subjects. Those with short sleeping hour (6 h or less) and long working hours (>9 h) had the highest BMI and waist in both men and women. Based on multiple regression analysis with age, smoking, alcohol drinking, systolic and diastolic blood pressure, mean daily sleeping hours and working hours as independent variables, BMI was independently associated with age, systolic and diastolic blood pressure in women, whereas waist was associated with age, smoking and blood pressure. In men, blood pressure, sleeping hours and working hours were independently associated with BMI, whereas waist was independently associated with age, smoking, blood pressure, sleeping hours and working hours in men. Conclusion: Obesity is associated with reduced sleeping hours and long working hours in men among Hong Kong Chinese working population. Further studies are needed to investigate the underlying mechanisms of this relationship and its potential implication on prevention and management of obesity. © 2007 Nature Publishing Group All rights reserved.link_to_subscribed_fulltex
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