| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.5 MB | Adobe PDF |
Authors
Abstract(s)
O sono é um processo fundamental para a manutenção do bem-estar físico e
psicológico do ser humano. Devido à sua complexidade, existem diversos fatores que
influenciam a sua qualidade, dentro destes é possível identificar os fatores ambientais,
como a luz, o ruído, a temperatura e o conforto. Os fatores ambientais padecem do
benefício de serem mais facilmente controlados pelas pessoas, em relação aos restantes
fatores influenciadores do sono, e, consequentemente, produzirem efeitos positivos na
qualidade de sono das pessoas de forma mais imediata. Por este motivo, mostrou-se
fundamental o desenvolvimento e validação de uma escala de avaliação da influência dos
fatores ambientais do sono- a Escala de Fatores Ambientais do Sono (EFAS). A recolha
de dados teve a colaboração de 219 participantes, com idades compreendidas entre os 18
e os 71 anos (M= 34.84; DP= 13.41). A Parte 1 da EFAS- Controlo dos Fatores Ambientaisapresentou uma boa consistência interna (a= .83; ?= .74) e a Parte 2 da EFAS- Perceção
da Influência dos Fatores Ambientais- apresentou uma consistência interna aceitável
(a= .75; ?= .73). Através da Análise Fatorial Exploratória, foram identificados quatro
fatores da Parte 1 da EFAS: o Fator I, referente à temperatura da roupa (VC= 16.7%), o
Fator II, à temperatura ambiente (VC= 12.8%), o Fator III, ao conforto (VC= 8.4%) e o
Fator IV, ao uso de dispositivos eletrónicos, ruído e luminosidade (VC= 6.3%). Na Parte
2, foram identificados dois fatores: o Fator I, relativo à perceção da influência da
temperatura, do conforto e da luminosidade (VC= 21.7%) e o Fator II, da perceção da
influência da partilha de espaço e ruído (VC= 13%). A Parte 1 da EFAS apresentou
correlações positivas e fracas com a GDS-15 (r= .213; p < .001) e com a BaSIQS (r= .184;
p < .001). A Parte 2 da EFAS exibiu correlações positivas de forma moderada com a GDS15 (r= .300; p < .01) e de forma fraca com a BaSIQS (r= .285; p < .01). As correlações
sugerem que, como esperado, um maior controlo de fatores ambientais e uma menor
perceção da influência dos mesmos em problemas de sono está associado a menor
sintomatologia depressiva e a melhor qualidade de sono. A partir da utilização da EFAS,
é possível identificar de forma mais eficiente os fatores ambientais do sono e as
mudanças comportamentais necessárias para uma melhoria do sono, demonstrando,
desta forma, a sua pertinência e utilidade clínica.
Sleep is an essential process for maintaining a person's physical and mental wellbeing. Due to its complexity, there are many factors that influence sleep’s quality and duration, one of which is the environmental factors, such as light, noise, temperature, and comfort. Environmental factors have the advantage of being easier to control than other factors that affect sleep and therefore can have a quicker positive effect on sleep quality. For this reason, it was important to develop and validate a scale to assess the environmental factors and their possible influence on sleep- The Environmental Factors of Sleep Scale (EFAS). The data collection involved 219 participants, between the ages of 18 and 71 (M = 34.84; SD = 13.41). Part 1 of EFAS- Control of Environmental Factorsshowed good internal consistency (a= .83; ?= .74) and Part 2 of EFAS- Perceived Influence of Environmental Factors- showed acceptable internal consistency (a= .75; ?= .73). The Exploratory Factor Analysis revealed four factors in Part 1 of EFAS: Factor I, regarding the temperature of clothes (CV= 16.7%), Factor II, the environmental temperature (CV= 12.8%), Factor III, comfort (CV= 8.4%), and Factor IV, the use of electronic devices, noise, and light (CV= 6.3%). In Part 2, there were two factors revealed: Factor I, regarding the perceived influence of temperature, comfort, and light (CV= 21.7%), and Factor II, with the perceived influence of sharing a space and noise (CV= 13%). The first part of EFAS showed positive and weak correlations with GDS-15 (r= .213; p < .001) and BaSIQS (r= .184; p < .001). Part 2 of EFAS showed moderate positive correlations with GDS-15 (r= .300; p < .01) and weak correlations with BaSIQS (r= .285; p < .01). The correlations suggest that, as expected, better control of environmental factors and less perception of their influence on sleep problems are associated with fewer depressive symptoms and better sleep quality. By using EFAS, it is possible to identify more efficiently the environmental factors of sleep and the behavioural changes needed to improve sleep, thus demonstrating its relevance and clinical use.
Sleep is an essential process for maintaining a person's physical and mental wellbeing. Due to its complexity, there are many factors that influence sleep’s quality and duration, one of which is the environmental factors, such as light, noise, temperature, and comfort. Environmental factors have the advantage of being easier to control than other factors that affect sleep and therefore can have a quicker positive effect on sleep quality. For this reason, it was important to develop and validate a scale to assess the environmental factors and their possible influence on sleep- The Environmental Factors of Sleep Scale (EFAS). The data collection involved 219 participants, between the ages of 18 and 71 (M = 34.84; SD = 13.41). Part 1 of EFAS- Control of Environmental Factorsshowed good internal consistency (a= .83; ?= .74) and Part 2 of EFAS- Perceived Influence of Environmental Factors- showed acceptable internal consistency (a= .75; ?= .73). The Exploratory Factor Analysis revealed four factors in Part 1 of EFAS: Factor I, regarding the temperature of clothes (CV= 16.7%), Factor II, the environmental temperature (CV= 12.8%), Factor III, comfort (CV= 8.4%), and Factor IV, the use of electronic devices, noise, and light (CV= 6.3%). In Part 2, there were two factors revealed: Factor I, regarding the perceived influence of temperature, comfort, and light (CV= 21.7%), and Factor II, with the perceived influence of sharing a space and noise (CV= 13%). The first part of EFAS showed positive and weak correlations with GDS-15 (r= .213; p < .001) and BaSIQS (r= .184; p < .001). Part 2 of EFAS showed moderate positive correlations with GDS-15 (r= .300; p < .01) and weak correlations with BaSIQS (r= .285; p < .01). The correlations suggest that, as expected, better control of environmental factors and less perception of their influence on sleep problems are associated with fewer depressive symptoms and better sleep quality. By using EFAS, it is possible to identify more efficiently the environmental factors of sleep and the behavioural changes needed to improve sleep, thus demonstrating its relevance and clinical use.
Description
Keywords
Depressão Fatores Ambientais Qualidade de Sono Sono