Dataset Information

Construct validity and factor structure of the pittsburgh sleep quality index and epworth sleepiness scale in a multi-national study of African, South East Asian and South American college students.

ABSTRACT:

Background

The Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) are questionnaires used to assess sleep quality and excessive daytime sleepiness in clinical and population-based studies. The present study aimed to evaluate the construct validity and factor structure of the PSQI and ESS questionnaires among young adults in four countries (Chile, Ethiopia, Peru and Thailand).

Methods

A cross-sectional study was conducted among 8,481 undergraduate students. Students were invited to complete a self-administered questionnaire that collected information about lifestyle, demographic, and sleep characteristics. In each country, the construct validity and factorial structures of PSQI and ESS questionnaires were tested through exploratory and confirmatory factor analyses (EFA and CFA).

Results

The largest component-total correlation coefficient for sleep quality as assessed using PSQI was noted in Chile (r?=?0.71) while the smallest component-total correlation coefficient was noted for sleep medication use in Peru (r?=?0.28). The largest component-total correlation coefficient for excessive daytime sleepiness as assessed using ESS was found for item 1 (sitting/reading) in Chile (r?=?0.65) while the lowest item-total correlation was observed for item 6 (sitting and talking to someone) in Thailand (r?=?0.35). Using both EFA and CFA a two-factor model was found for PSQI questionnaire in Chile, Ethiopia and Thailand while a three-factor model was found for Peru. For the ESS questionnaire, we noted two factors for all four countries.

Conclusion

Overall, we documented cross-cultural comparability of sleep quality and excessive daytime sleepiness measures using the PSQI and ESS questionnaires among Asian, South American and African young adults. Although both the PSQI and ESS were originally developed as single-factor questionnaires, the results of our EFA and CFA revealed the multi- dimensionality of the scales suggesting limited usefulness of the global PSQI and ESS scores to assess sleep quality and excessive daytime sleepiness.

SUBMITTER: Gelaye B

PROVIDER: S-EPMC4281247 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Construct validity and factor structure of the pittsburgh sleep quality index and epworth sleepiness scale in a multi-national study of African, South East Asian and South American college students.

Gelaye Bizu B Lohsoonthorn Vitool V Lertmeharit Somrat S Pensuksan Wipawan C WC Sanchez Sixto E SE Lemma Seblewengel S Berhane Yemane Y Zhu Xiaotong X Vélez Juan Carlos JC Barbosa Clarita C Anderade Asterio A Tadesse Mahlet G MG Williams Michelle A MA

PloS one 20141231 12

<h4>Background</h4>The Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) are questionnaires used to assess sleep quality and excessive daytime sleepiness in clinical and population-based studies. The present study aimed to evaluate the construct validity and factor structure of the PSQI and ESS questionnaires among young adults in four countries (Chile, Ethiopia, Peru and Thailand).<h4>Methods</h4>A cross-sectional study was conducted among 8,481 undergraduate students ...[more]

PMID: 25551586

Similar Datasets

Project description:BackgroundThe relationship between the Epworth sleepiness scale (ESS) and the apnea-hypopnea index (AHI) is uncertain and even poor. The major problem associated with the ESS might be a lack of consideration of weight in prediction in clinical practice. Would awarding different item-scores to the four scales of ESS items to develop a weighted ESS scoring system improve the accuracy of the AHI prediction? It is warranted to explore the intriguing hypotheses.MethodsSeven hundred fifty-six adult patients with suspicion of obstructive sleep apnoea syndrome (OSAS) were prospectively recruited to a derivation cohort. This was tested against a prospective validation cohort of 810 adult patients with suspected OSAS. Each ESS item’s increased odds ratio for the corresponding AHI was calculated using univariate logistic regression. The receiver operating characteristic curves were created and the areas under the curves (AUCs) were calculated to illustrate and compare the accuracy of the indices.ResultsThe higher the ESS item-score, the closer the relationship with the corresponding AHI. The odds ratios decreased as a result of the increased AHI. The ESS items were of unequal weight in predicting the corresponding AHI and a weighted ESS was developed. The coincidence rates with the corresponding AHI, body mass indices, and neck circumferences rose as the scores increased, whereas nocturnal nadir oxygen saturations decreased, and the weighted ESS was more strongly associated with these indices, compared with the ESS. The capability in predicting the patients without OSAS or with severe OSAS was strong, especially the latter, and the weighted ESS orchestrated manifest improvement in screening the patients with simple snoring. The patterns of sensitivities, specificities, and Youden’s indices of the four ranks of weighted ESS for predicting the corresponding AHI were better than those of the ESS, and the AUCs of weighted ESS were greater than the corresponding areas of ESS in the two cohorts.ConclusionsThe weighted ESS orchestrated significant improvement in predicting the AHI, indicating that the capability in predicting the patients without OSAS or with severe OSAS was strong, which might have implications for clinical triage decisions to prioritize patients for polysomnography.

Project description:BACKGROUND:Caesarean section is considered a relatively preferable and safe method of delivery as compared to normal delivery. Since the last decade, its prevalence has increased in both developed and developing countries. In the context of developing countries viz., South Asia (the highest populated region) and South-East Asia (the third-highest populated region), where a significant proportion of home deliveries were reported,however, the preference for, caesarean delivery and its associated factors are not well understood. OBJECTIVE:To study the caesarean delivery in the South and South-East Asian countries and to determine the factors associated with the preference for caesarean delivery. METHODOLOGY:Demographic and Health Survey Data on from ever-married women of nine developing countries of South and South-East Asia viz., Vietnam, India, Maldives, Timor-Leste, Nepal, Indonesia, Pakistan, Bangladesh, and Cambodia have been considered. Both bivariate and binary logistic regression models were used to estimate the propensity of a woman undergoing for caesarean delivery and to assess the influence of maternal socioeconomic characteristics towards the preference for caesarean delivery. RESULTS:Obtained results have shown an inclination of caesarean delivery among urban than rural women and are quite conspicuous, but is found to be underestimated mostly among rural women. Caesarean delivery in general is mostly predisposed among women whose baby sizes are either very large or smaller than average, have a higher level of education and place of delivery is private medical institutions. The logistic regression also revealed the influence of maternal socioeconomic characteristics towards the preference for caesarean delivery. Based on nine South and South-East Asian countries an overall C-section prevalence of 13%, but based on institutional births its increase to 19%. The forest plot demonstrated that a significant inclination of C-section among urban than rural regions. In Meta-Analysis, very high and significant heterogeneity among countries is observed, but confirms that in terms of prevalence of C-section all of the countries follow independent pattern. CONCLUSION:Study of seven urban and four rural regions of nine South and South- East Asian countries showed, a significant inclination towards the caesarean delivery above the more recent outdated WHO recommended an optimal range of 10-15%and are associated maternal socioeconomic characteristics. In order to control unwanted caesarean delivery, the government needs to develop better healthcare infrastructure and along with more antenatal care related schemes to reduce the risks associated with increased caesarean delivery.

Dataset Information

Construct validity and factor structure of the pittsburgh sleep quality index and epworth sleepiness scale in a multi-national study of African, South East Asian and South American college students.

Background

Methods

Results

Conclusion

Publications

Construct validity and factor structure of the pittsburgh sleep quality index and epworth sleepiness scale in a multi-national study of African, South East Asian and South American college students.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure