Sleep Pattern Assessment - Paper Example

Sleep is an essential physiological process in life. Its quality is highly connected to psychological and physical health and other measures of well-being (Espie, Lindsay and Espie 1989). For so long, the assessment of sleep patterns to determine sleep deprivation and other symptoms been inadequately understood and ignored. Difficulty in sleep is a common phenomenon in adults, with almost a third of them experiencing problems in sleep. Sleep patterns and wakefulness in different subjects vary with the ages of adults, their functional demands, their psychological and physiological characteristics, physical and psychiatric illnesses (Heath et al. 1998). In this regard, this paper summarizes and provides recommendations on two articles: Multi-method Assessments of Sleepover the Transition to College and the Associations with Depression and Mexican American Adolescents Sleep Patterns: Contextual Correlates and Implications for Health and Adjustment in Young Adulthood. The first article discusses patterns of sleep in adolescents and young adults by doing a limited longitudinal research that indicates a mutual association between sleep pattern and shifts such as the change from college to work-life. It employs multiple methods of assessments to determine whether the quantity or quality of sleep changed with the movement to university. It also establishes the relationships between sleep and depression in adolescents. The second article consecutively discusses the correlates, health, and the effects of sleep pattern adjustment among Mexican American youths (Tryon 2004). It achieves this by using socio-ecological models to examine the relationship between the experiences in the family context, and extra-familial context is related. The outcomes of the research reveal that time spent in school and work is connected to less sleep.

Summary of the articles

Multi-method Assessments of Sleepover, the Transition to College and the Associations with Depression, describes research that tries to evaluate the relationship between sleep problems and depression symptoms and anxiety by carrying out a limited longitudinal research that shows an association between socio-contextual shifts. The study was done by collecting data from 82 students, 24% of them being male (Doane, Gress-Smith & Breitenstein 2015). The sample was studied three times in a year, and according to the results, there was an increase in sleep efficiency and anxiety over the transition to college. The result indicated a reduction in sleep problems and the cross-lagged panel models showed a vast relationship between sleep quality and anxiety symptoms. The Associations with Depression and Mexican American Adolescents Sleep Patterns: Contextual Correlates and Implications for Health and Adjustment in Young Adulthood investigates the contextual correlations, health, and implications of sleep pattern adjustment among Mexican American youths (Sally et al. 2015). The assessment is done by using data collected from phone interviews and assessing average nighttime duration of sleep.

The contents of the two articles cover the topic under discussion. They define sleep assessment process and provides a method of data collection, analysis of the data collected and presents a conclusion based on the study. The information presented in the articles are very integral in helping me to understand sleep patterns. It helps my peers and other workers to develop a proper sleep pattern when joining colleges and when working. To the community at large, it identifies sleeping behaviors that are connected to specific diseases or physiological defects (Redeker, Ruggiero and Hedges 2004).

Collectively, the findings of the study contribute to the examination of the literature on trajectories of development and symptoms of depression and anxiety. The paper reviews the studies that were carried out by two articles to establish a relationship among adjustment indicators over a given period. It also presents recommendations that would be applied by both adults and youths to determine the most efficient sleep pattern.

References

Doane, L.D., Gress-Smith, J.L. and Breitenstein, R.S., 2015. Multi-method assessments of sleepover the transition to college and the associations with depression and anxiety symptoms. Journal of youthand adolescence, 44(2), pp.389-404.

Espie, C.A., Lindsay, W.R. and Espie, L.C., 1989. Use of the Sleep Assessment Device (Kelleyand Lichstein, 1980) to validate insomniacs' self-report of sleep pattern. Journal of Psychopathology and Behavioral Assessment, 11(1), pp.71-79.

Heath, A.C., Eaves, L.J., Kirk, K.M. and Martin, N.G., 1998. Effects of lifestyle, personality, symptoms ofanxiety and depression, and genetic predisposition on subjective sleep disturbance and sleep pattern. Twin Research and Human Genetics, 1(4), pp.176-188.

Kesper, K., Canisius, S., Penzel, T., Ploch, T. and Cassel, W., 2012. ECG signal analysis for theassessment of sleep-disordered breathing and sleep pattern. Medical & biologicalengineering & computing, 50(2), pp.135-144.

McGhie, A. and Russell, S.M., 1962. The subjective assessment of typical sleep patterns. The British Journal of Psychiatry, 108(456), pp.642-654.

Rasmussen, B.K., 1993. A migraine and tension-type headache in a general population: precipitating factors, female hormones, sleep pattern and relation to lifestyle. Pain, 53(1), pp.65-72.

Redeker, N.S., Ruggiero, J. and Hedges, C., 2004. Patterns and predictors of sleep patterndisturbance after cardiac surgery. Research in nursing & health, 27(4), pp.217-224.

Sally, I., Kuo, C., Updegraff, K.A., Zeiders, K.H., McHale, S.M., Umana-Taylor, A.J. and De Jesus, S.A.R., 2015. Mexican American adolescents sleep patterns: Contextual correlates and implications for health and adjustment in young adulthood. Journal ofyouth and adolescence, 44(2), pp.346-361.

Terzano, M.G., Parrino, L., Anelli, S., Boselli, M. and Clemens, B., 1992. Effects of generalizedinterictal EEG discharges on sleep stability: assessment using cyclic alternatingpattern. Epilepsia, 33(2), pp.317-326.

Tryon, W.W., 2004. Issues of validity in actigraphic sleep assessment. Sleep, 27(1), pp.158-165.