52 research outputs found

    Nightly Use Of Computer By Adolescents: Its Effect On Quality Of Sleep

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    Objective: To analyze the influence of nocturnal use of computer and their effect on sleep quality, in a group of adolescents. Method: Two middle schools were chosen for the research. The sample consisted of adolescents n=160 (55M; 105F), with ages ranging from 15 to 18 years. Questionnaire about computer use with the objective of obtaining information regarding the time and number of hours of nocturnal computer use, were applied for collection of data. They included the Pittsburgh Sleep Quality Index (PSQI), utilized to quantfy sleep quality; student report cards were used to note student's absences and grades were used. Results: The Multiple Logistic Regression test indicated that nocturnal computer use impairs good sleep (p=0.0062). Conclusion: Irregular sleep patterns associated with nightly computer use deteriorate sleep quality.652 B428432Duffy, J.F., Wright Jr, K.P., Entrainment of human circadian system by light (2005) J Biol Rhythms, 20, pp. 326-338Millman, R.P., Excessive sleepiness in adolescents and young adults: Causes, consequences and treatment strategies (2005) Pediatrics, 115, pp. 1774-1786Rajaratnam, S.M.W., Melatonin advances the circadian timing of EEG sleep and directly facilitates sleep without altering the duration in extended sleep opportunities inhumans (2004) J Physiol, 561, pp. 339-351Saper, C., Chou, T.C., Scammell, T.E., The sleep switch: Hypothalamic control of sleep and wakefulness (2001) Trend Neurosci, 24, pp. 726-731Aserinsky, E., Kleitman, N., Regularly occurring periods of eye motility, and concomitant phenomena during sleep (2003) J Neuropsychiatry Clin Neurosci, 15, pp. 454-455Connor, J., Norton, R., Ameratunga, S., Driver sleepiness and risk of serius injury to car occupants: Population based case control study (2002) BMJ, 324, p. 1125Carskadon, M.A., Acebo, C., Richardson, G.S., Tate, B.A., Seifer, R., An approach to studying circadian rhythms of adolescent humans (1997) J Biol Rhythms, 12, pp. 278-289Carskadon, M.A., Wolfson, A.R., Acebo, C., Tzischinsky, O., Seifer, R., Adolescent sleep patterns, circadian timing and sleepiness at a transition to early school days (1998) Sleep, 21, pp. 871-881Gianotti, F., Cortesi, F., Sebastiani, T., Salvatore, S., Circadian preference, sleep and daytime behaviour in adolescence (2001) J Sleep Res, 11, pp. 191-199Almondes, K.M., Araújo, J.F., Sleep/wake cycle pattern and its relationship with anxiety in college students (2003) Estudos de Psicologia (Natal), 8, pp. 37-43Gaudreau, H., Carrier, J., Montplaisir, J., Age-related modifications of NREM sleep EEG from childhood to middle age (2001) J Sleep Res, 10, pp. 165-172Iglowstein, I., Oscar, G., Jenni, L.M., Remo, H.L., Sleep duration from infancy to adolescence: Referece values and generational trends (2003) Pediatrics, 111, pp. 301-307Laberge, L., Petit, D., Simard, C., Development of sleep patterns in early adolescence (2001) J Sleep Res, 10, pp. 303-307Van Dongen, H.P., Mainslin, G., Mullington, J.M., Dinges, D.F., The cumulative cost of additional wakefulness: Dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation (2003) Sleep, 26, pp. 111-126Kumar K. From post-industrial to post-modern: new theories of the contemporary world. Da sociedade pós-industrial à pós-moderna: novas teorias sobre o mundo contemporâneo. Tradução Ruy Jungmann. Rio de Janeiro: Jorge Zahar, 1997Carskadon, M.A., Patterns of sleep and sleepiness in adolescents (1990) Pediatrician, 17, pp. 5-12Carskadon, M.A., Vieira, C., Acebo, C., Association between puberty and delayed phase preference (1993) Sleep, 16, pp. 258-262Carskadon, M.A., Acebo, C., Jenni, O.G., Regulation of adolescent sleep: Implications for behavior (2004) Ann NY Acad Sci, 1021, pp. 276-291Kelman, B.B., The sleep needs of adolescents (1999) J Sch Nurs, 15, pp. 14-19Fredriksen, K., Rhodes, J., Reedy, R., Way, N., Sleepiness in Chicago: Tracking the effect of adolescent sleep loss during the middle school years (2004) Child Dev, 75, pp. 84-95Liu, X., Sleep and adolescent suicidal behavior (2004) Sleep, 27, pp. 1351-1358Reimão, R., Lemmi, H., Narcolepsy in childhood and adolescence (1991) Arq Neuropsiquiatr, 49, pp. 260-264Reimão, R., Pachelli, L.C., Carneiro, R., Faiwichow, O., Primary sleep enuresis in childhood: Polysomnographic evidences of sleep and time modulation (1993) Arq Neuropsiquiatr, 51, pp. 41-45Reimão, R., Souza, J.C., Gaudioso, C.E.V., Sleep habits in Native Brazilian Bororo children (1999) Arq Neuropsiquiatr, 57, pp. 14-17Reimão, R., Souza, J.C., Gaudioso, C.E.V., Sleep characteristics in the isolated rural African-Brazilian descendant community of Furnas doDionisio, State of Mato Grosso do Sul, Brazil (1999) Arq Neuropsiquiatr, 57, pp. 556-560Reimão, R., Souza, J.C., Medeiros, M.M., Almirão, R.I., Sleep habits in Native Brazilian Terena Children in the state of Mato Grosso do Sul, Brazil (1998) Arq Neuropsiquiatr, 56, pp. 703-707Buysse, D.J., Reynolds, C.F., Monk, T.H., Berman, S.R., Kupfer, D., The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research (1989) Psychiatry Res, 28, pp. 192-213Programa Computacional SAS System for Windows (Statistical Analysis Sistem), versão 8.2. Cury, NC, USA: SAS InstituteInc, 1999-2001Sleep in America poll highlights and key findings, , www.sleepfoundation.org, National Sleep Foundation, on-line, 2006 [acesso em 20 jun de 2006, Disponível emBercedo Sanz, A., Redondo Figuero, C., Pelayo Alonso, R., Mass media consumption in adolescence (2005) An Pediatr (Barc), 63, pp. 16-25Vanden, B.J., Television viewing, computer game playing, and Internet use and self-reported time to bed and time out of bed in secondary-school children (2004) Sleep, 27, pp. 101-104Joo, S., Shin, C., Kim, J., Prevalence and correlates of excessive daytime sleepiness in high school students in Korea (2005) Psychiatr Clin Neurosci, 59, pp. 433-440Randazzo, A.C., Muehlbach, M.J., Schweitzer, P.K., Walsh, J.K., Cognitive function following acute sleep restriction in children ages 10-14 (1998) Sleep, 21, pp. 861-86

    Nightly use of computer by adolescents - Its effect on quality of sleep

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    Objective: To analyze the influence of nocturnal use of computer and their effect on sleep quality, in a group of adolescents. Method: Two middle schools were chosen for the research. The sample consisted of adolescents n=160 (55M; 105F), with ages ranging from 15 to 18 years. Questionnaire about computer use with the objective of obtaining information regarding the time and number of hours of nocturnal computer use, were applied for collection of data. They included the Pittsburgh Sleep Quality Index (PSQI), utilized to quantfy sleep quality; student report cards were used to note student's absences and grades were used. Results: The Multiple Logistic Regression test indicated that nocturnal computer use impairs good sleep (p=0.0062). Conclusion: Irregular sleep patterns associated with nightly computer use deteriorate sleep quality.652B42843

    Total blood lymphocyte counts in hemochromatosis probands with HFE C282Y homozygosity: relationship to severity of iron overload and HLA-A and -B alleles and haplotypes

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    BACKGROUND: It has been reported that some persons with hemochromatosis have low total blood lymphocyte counts, but the reason for this is unknown. METHODS: We measured total blood lymphocyte counts using an automated blood cell counter in 146 hemochromatosis probands (88 men, 58 women) with HFE C282Y homozygosity who were diagnosed in medical care. Univariate and multivariate analyses of total blood lymphocyte counts were evaluated using these variables: sex; age, transferrin saturation, and serum ferritin concentration at diagnosis; units of blood removed by phlebotomy to achieve iron depletion; and human leukocyte antigen (HLA)-A and -B alleles and haplotypes. RESULTS: The mean age at diagnosis was 49 ± 14 years (range 18 – 80 years) in men and 50 ± 13 years (range 22 – 88 years) in women. The correlations of total blood lymphocyte counts with sex, age, transferrin saturation, and serum ferritin concentration at diagnosis, and units of blood removed by phlebotomy to achieve iron depletion were not significant at the 0.05 level. Univariate analyses revealed significant associations between total blood lymphocyte counts and presence of the HLA-A*01, -B*08, and -B*14 alleles, and the A*01-B*08 haplotype. Presence of the A*01 allele, B*08 allele, or A*01-B*08 haplotype were associated with a lower total blood lymphocyte count, whereas presence of the B*14 allele was associated with a greater total blood lymphocyte count. There was an inverse association of total blood lymphocyte count with units of phlebotomy to achieve iron depletion, serum ferritin concentration, and with presence of the A*01-B*08 haplotype. CONCLUSION: We conclude that there is a significant inverse relationship of total blood lymphocyte counts and severity of iron overload in hemochromatosis probands with HFE C282Y homozygosity. The presence of the HLA-A*01 allele or the -B*08 allele was also associated with significantly lower total blood lymphocyte counts, whereas presence of the -B*14 allele was associated with significantly higher total blood lymphocyte counts. In univariate and multivariate analyses, total blood lymphocyte counts were significantly lower in probands with the HLA-A*01-B*08 haplotype than in probands without this haplotype

    Identification of Intracellular and Plasma Membrane Calcium Channel Homologues in Pathogenic Parasites

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    Ca2+ channels regulate many crucial processes within cells and their abnormal activity can be damaging to cell survival, suggesting that they might represent attractive therapeutic targets in pathogenic organisms. Parasitic diseases such as malaria, leishmaniasis, trypanosomiasis and schistosomiasis are responsible for millions of deaths each year worldwide. The genomes of many pathogenic parasites have recently been sequenced, opening the way for rational design of targeted therapies. We analyzed genomes of pathogenic protozoan parasites as well as the genome of Schistosoma mansoni, and show the existence within them of genes encoding homologues of mammalian intracellular Ca2+ release channels: inositol 1,4,5-trisphosphate receptors (IP3Rs), ryanodine receptors (RyRs), two-pore Ca2+ channels (TPCs) and intracellular transient receptor potential (Trp) channels. The genomes of Trypanosoma, Leishmania and S. mansoni parasites encode IP3R/RyR and Trp channel homologues, and that of S. mansoni additionally encodes a TPC homologue. In contrast, apicomplexan parasites lack genes encoding IP3R/RyR homologues and possess only genes encoding TPC and Trp channel homologues (Toxoplasma gondii) or Trp channel homologues alone. The genomes of parasites also encode homologues of mammalian Ca2+ influx channels, including voltage-gated Ca2+ channels and plasma membrane Trp channels. The genome of S. mansoni also encodes Orai Ca2+ channel and STIM Ca2+ sensor homologues, suggesting that store-operated Ca2+ entry may occur in this parasite. Many anti-parasitic agents alter parasite Ca2+ homeostasis and some are known modulators of mammalian Ca2+ channels, suggesting that parasite Ca2+ channel homologues might be the targets of some current anti-parasitic drugs. Differences between human and parasite Ca2+ channels suggest that pathogen-specific targeting of these channels may be an attractive therapeutic prospect

    Stress and sleep quality in high school Brazilian adolescents

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    Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)OBJECTIVE: The objective of the present study is to analyze the effect of stress on sleep quality in a group of adolescents. METHOD: Two high schools in Alfenas, southern Minas Gerais State, Brazil, were chosen to participate in the study. The sample consisted of both genders (n = 160) with 65.63% females. The age range of participants was 15 to 18 years. The Pittsburgh Sleep Quality Index (PSQI) was applied for collection of data to quantify sleep quality. The Lipp Inventory of Stress Symptoms that objectively identifies symptoms of stress was applied. RESULTS: It was observed that 23.53% of stressed students and 45.33% of unstressed ones sleep well; 76.47% of stressed pupils and 54.67% of those unstressed do not sleep well. With regard to school performance, a mean of 0.65 was found for stressed students and 0.60 for those without stress, Mann-Whitney (p = 0.0596). CONCLUSION: Stress contributed to raising the percentage of poor sleepers, as well as increasing mean school performance.822545551Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES
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