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Introdução: O avanço da pandemia de COVID-19 acarretou alterações no sono da população. Os distúrbios do sono têm relação com as principais alterações de saúde mental e também possuem relação com os fatores psicossociais. Objetivo: Estimar a prevalência e fatores associados às alterações na qualidade do sono em usuários acompanhados na Atenção Primária à Saúde durante a pandemia de COVID-19. Métodos: Estudo do tipo transversal, com adultos (idade >18 anos) de ambos os gêneros, acompanhados por uma unidade de saúde. Foram levantadas as informações do prontuário eletrônico da unidade e, durante a visita domiciliar (entre agosto e setembro de 2021), os dados socioeconômicos, fatores de risco, sinais vitais, variáveis antropométricas, hábitos de vida, medicações em uso, uso dos serviços de saúde, internação e consultas no último ano. A qualidade de vida foi avaliada pelo questionário SF-36 e foi usado o Índice de Qualidade do sono Pittsburgh (PSQI). Resultados: A amostra foi formada predominantemente por mulheres (82,9%) com 60,5±11,7 anos de idade, da cor branca (70,7%), com companheiro (61%) e pertencentes à classe C (65,8%). 53,7% da amostra apresentou até duas comorbidades, 87,8% apresentavam sobrepeso/obesidade e 80% faziam uso de anti-hipertensivo. A prevalência de qualidade do sono ruim foi de 87,8% (IC95% 73,195,0). Os achados apontam para uma relação entre má qualidade do sono com consumo de álcool, presença de ≥3 comorbidades, níveis de PAS, uso de ansiolíticos, nível de escolaridade e uso de serviços de saúde durante a pandemia. Conclusões: A alta prevalência de qualidade do sono ruim na amostra estudada sugere que determinantes sociodemográficos, presença de comorbidades e hábitos de vida devem ser considerados para minimizar os efeitos das alterações do sono na pandemia.
Introduction: The advancement of the COVID-19 pandemic has resulted in changes in the sleep patterns of the population. Sleep disorders are related to major mental health changes and are also associated with psychosocial factors. Objective: To estimate the prevalence and factors associated with sleep quality changes among users attended in Primary Health Care during the COVID-19 pandemic. Methods: This was a cross-sectional study involving adults (age >18 years) of both genders who were being followed at a healthcare unit. Information was gathered from the unit's electronic medical records, and during home visits (between August and September 2021), socioeconomic data, risk factors, vital signs, anthropometric variables, lifestyle habits, current medications, healthcare service utilization, hospitalization, and consultations in the past year were collected. Quality of life was assessed using the SF-36 questionnaire, and the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. Results: The sample consisted predominantly of women (82.9%) with an average age of 60.5±11.7 years, of white ethnicity (70.7%), with a partner (61%), and belonging to class C (65.8%). 53.7% of the sample had up to two comorbidities, 87.8% were overweight/obese, and 80% were using antihypertensive medication. The prevalence of poor sleep quality was 87.8% (95%CI 73.195.0). The findings indicate a relationship between poor sleep quality and alcohol consumption, the presence of ≥3 comorbidities, systolic blood pressure levels, use of anxiolytics, education level, and the use of healthcare services during the pandemic. Conclusions: The high prevalence of poor sleep quality in the study sample suggests that sociodemographic determinants, presence of comorbidities, and lifestyle habits should be considered to minimize the effects of sleep disturbances during the pandemic.
Introducción: El avance de la pandemia de COVID-19 ha ocasionado cambios en el sueño de la población. Los trastornos del sueño están relacionados con los principales cambios en la salud mental y también se asocian con factores psicosociales. Objetivo: Estimar la prevalencia y los factores asociados con alteraciones en la calidad del sueño en usuarios atendidos en la Atención Primaria de Salud durante la pandemia de COVID-19. Métodos: Estudio transversal con adultos (edad >18 años) de ambos géneros que son atendidos en una unidad de salud. Se recopilaron datos del historial clínico electrónico de la unidad y durante la visita domiciliaria (entre agosto y septiembre de 2021) se obtuvieron datos socioeconómicos, factores de riesgo, signos vitales, variables antropométricas, hábitos de vida, medicamentos utilizados, uso de servicios de salud, hospitalización y consultas en el último año. La calidad de vida se evaluó mediante el cuestionario SF-36 y se utilizó el Índice de Calidad del Sueño de Pittsburgh (PSQI). Resultados: La muestra estuvo compuesta predominantemente por mujeres (82,9%) con una edad de 60,5±11,7 años, de raza blanca (70,7%), con pareja (61%) y pertenecientes a la clase C (65,8%). El 53,7% de la muestra presentó hasta dos comorbilidades, el 87,8% tenían sobrepeso/obesidad y el 80% utilizaba medicación antihipertensiva. La prevalencia de mala calidad del sueño fue del 87,8% (IC95% 73,195,0). Los hallazgos señalan una relación entre la mala calidad del sueño y el consumo de alcohol, la presencia de ≥3 comorbilidades, los niveles de presión arterial sistólica (PAS), el uso de ansiolíticos, el nivel de escolaridad y el uso de servicios de salud durante la pandemia. Conclusiones: La alta prevalencia de mala calidad del sueño en la muestra estudiada sugiere que se deben considerar los determinantes sociodemográficos, la presencia de comorbilidades y los hábitos de vida para minimizar los efectos de los trastornos del sueño en la pandemia.
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Humans , Primary Health Care , Sleep Wake Disorders , Risk Factors , COVID-19ABSTRACT
Impulsivity, aggression, and suicide are the major clinical symptoms of borderline personality disorder (BPD). Although previous studies indicated poor sleep quality and its relationship with clinical symptoms in patients with BPD, chronotype, an important sleep parameter, was not investigated in these patients. This study aimed to analyze chronotype and its relationship with clinical symptoms in patients with BPD. Participants in this study consisted of 68 BPD patients and 65 healthy controls. Subjective sleep characteristics, impulsivity, aggression, suicide probability, and chronotype were assessed using the Pittsburgh Sleep Quality Index (PSQI), Barratt Impulsivity Scale, Buss-Perry Aggression Scale (BPAQ), Suicide Probability Scale, and Morningness - Eveningness Questionnaire, respectively. PSQI total and subscale scores subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, and daytime drowsiness were significantly higher in the BPD group (p < 0.001). There was a positive correlation between the PSQI total score and the BPAQ total score (r = 0.268, p = 0.027). The rate of evening type was significantly higher in the control group (p = 0.004). Suicide attempts and the subscale of suicide probability hopelessness, suicidal ideation, and negative self-evaluation scores were significantly higher in evening type BPD patients. (p = 0.017, p = 0.009, p = 0.001, p = 0.047). Sleep quality is associated with aggression, and the eveningness chronotype is associated with suicide. It may be useful to focus on sleep problems in treating BPD patients.
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OBJECTIVE: To explore the perceptions of sleep quality, levels of fatigue, and cognitive executive function in women shift workers. DESIGN: Qualitative, descriptive study of a sample of participants who participated in a cross-sectional, mixed-methods study. SETTING: Online focus groups. PARTICIPANTS: Women shift workers (N = 14) recruited from the southeastern United States. METHODS: Four focus groups were conducted using the Zoom online videoconferencing platform. Transcripts were coded inductively, and data were analyzed using a thematic analysis approach. RESULTS: Five major themes were developed from the data: Lots of Sleep Lost, Day Sleep Difficulties, Negative Consequences, Missing Out, and Not in My Own Thoughts. CONCLUSION: Shift work is associated with sleep loss, which has a negative impact on women's emotional, mental, and physical health. Further nursing science investigation into strategies to enable women to improve their sleep quality, sleep quantity, and social/domestic environment is warranted. Education to increase sleep knowledge and decrease accidents and errors that can result from insufficient sleep is vital.
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Objectives: Sleep is an indispensable part of human health, which can help us to restore physical strength, enhance immunity and maintain nervous system stability. The relationship between sleep quality and cognitive dysfunction is unclear, especially at the community population level. This study aims to explore the association between sleep quality and cognitive dysfunction. Methods: A total of 5,224 community residents were enrolled in this cross-sectional study. Cognitive function was assessed by the Mini-Mental State Examination (MMSE). Sleep quality was assessed by the multidimensional sleep questionnaire. Multivariate logistic regression was used to analyze the association between sleep quality and cognitive dysfunction. The adjusted models took into account relevant demographic, clinical, and sleep variables. Results: A total of 3,106 participants were enrolled in this study, of whom 463 (15%) had cognitive dysfunction. Total sleep duration, staying up, sleep latency, number of awakenings, and history of sleep medications were associated with cognitive dysfunction in unadjusted models, and these effects were consistent after adjustment. First, those who slept 6-7.9 h per day (OR = 0.57, 95% CI 0.40 to 0.80, p = 0.001) had a lower risk for cognitive dysfunction compared to those who slept less than 6 h per day. Second, participants who stayed up more than 10 times over the 3 months (OR = 1.90, 95% CI 1.20 to 3.00, p = 0.006) were more likely to suffer cognitive dysfunction than those who never stayed up. Third, we also found that participants with sleep latencies of 16-30 min were less likely to experience cognitive dysfunction than those with sleep latencies of less than 16 min after adjusting confounders (OR = 0.33, 95% CI 0.23 to 0.47, p < 0.001). Fourth, participants who woke up once (OR = 1.65, 95% CI 1.19 to 2.30, p = 0.003) and three or more times (OR = 2.34, 95% CI 1.25 to 4.36, p = 0.008) after falling asleep had a higher risk than those who did not wake up at night. Last, participants taking sleep medication (OR = 2.97, 95% CI 1.19 to 7.45, p = 0.020) were more vulnerable to cognitive dysfunction, relative to participants without taking any medications. Conclusion: Our results suggest that after adjustment for potential confounding variables, poor sleep quality is associated with cognitive dysfunction.
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BACKGROUND: Spinal cord stimulation can be considered in PHN patients if conservative treatment is not effective. However, the long-term pain outcomes of temporary (7-14 days) spinal cord stimulation (tSCS) in refractory PHN patients with a course of more than 3 months have not been documented. OBJECTIVES: To investigate the efficacy of tSCS as a treatment for refractory PHN. STUDY DESIGN: Retrospective study. SETTING: Pain Department in a university hospital. METHODS: A total of 52 patients with refractory PHN were treated with tSCS between March 2018 and February 2021. Their medical records were collected, and the patients were divided into 3 groups according to the course of their disease into the medium-term group, long-term group and ultra-long-term group. The changes in the numeric rating scale (NRS) scores, Pittsburgh sleep quality index (PSQI) responses, pain relief rate, postoperative efficiency and patients' use of analgesics were recorded before the operation, 3 days, 10 days, one month, 3 months, 6 months and 12 months after the operation. RESULTS: The average NRS scores, the maximum NRS scores and the PSQI scores at 3 days, 10 days, one month, 3 months, 6 months and 12 months after the operation were significantly lower than those before the operation (P < 0.05). The average NRS scores and the maximum NRS scores of all groups increased significantly from one month to 6 months compared to those at 10 days after the tSCS treatment, and they decreased significantly at 12 months compared with 6 months post-operation. The average NRS scores of the medium-term and long-term group were significantly lower than that of the ultra-long-term group at 1-3 months after the operation, and the maximum NRS scores at one month, 3 months and 12 months after the operation were also significantly lower in the medium-term and long-term group compared to the ultra-long-term group. The average PSQI scores at 1-12 months after the operation were not significantly higher than that at 10 days after the operation, but it decreased significantly at 12 months compared with 6 months after the operation. Among the 3 groups, the PSQI scores of the medium-term and long-term group were significantly lower than those of the ultra-long-term group at 6 months after the operation. The postoperative pain relief rate ranged from 41.51%-59.81%, and the total effective rate was 42.31%-69.23%, and there was no significant difference among the 3 groups. Some patients still needed analgesics at 12 months after the operation, but the number of patients who were taking medications post-operation was significantly lower than that before the operation. LIMITATIONS: This is a single-center retrospective study with the inability to completely control for variables. Additionally, the number of cases is small and the follow-up duration is short. CONCLUSION: tSCS can be used as a safe and effective method to relieve refractory PHN, and the curative effect is substantially higher in patients with a disease course of 3-12 months compared to that in patients with a course of more than 12 months.
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Neuralgia, Postherpetic , Spinal Cord Stimulation , Humans , Spinal Cord Stimulation/methods , Retrospective Studies , Neuralgia, Postherpetic/therapy , Male , Female , Middle Aged , Aged , Treatment Outcome , Pain Measurement , Pain Management/methodsABSTRACT
INTRODUCTION: Sleep is a crucial determinant of maternal and fetal health, significantly impacting the well-being of both the mother and her developing fetus. Poor sleep quality, characterized by difficulties in falling asleep or staying asleep, can cause poor pregnancy outcome. Conversely, studies came with inconsistent result in the prevalence of poor sleep quality in different trimester of pregnancy. Therefore, this systematic review and meta-analysis study aimed to compare the prevalence of poor sleep quality in different trimesters. METHOD: A systematic review and meta-analysis were done on published studies. Electronic data base search was done from PubMed, Hinari, Medline and Google Scholar. Data were extracted with Excel and the analysis were done using STATA version 17. Publication bias was assessed both graphically and statistically. I-square test was used to identify heterogeneity. RESULT: In this meta-analysis, 38 studies that measured poor sleep quality using the Pittsburg Sleep Quality Index (PSQI ≥ 5) were included. The pooled prevalence of poor sleep quality was identified as 37.46% (95% CI: 29.26, 45.67) in the first trimester, 47.62% (95% CI: 42.23, 53.02) in the second trimester, and 60.05% (95% CI: 51.32, 68.78) in the third trimester. CONCLUSION: This study identified a significant discrepancy in the prevalence of poor sleep quality, which increases as gestational age advances. Therefore, this discrepancy should be addressed, and additional support should be provided to pregnant women to help them achieve adequate sleep, especially as gestational age advances.
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Developing Countries , Pregnancy Trimesters , Sleep Quality , Humans , Female , Pregnancy , Pregnancy Complications/epidemiology , Prevalence , Sleep Wake Disorders/epidemiologyABSTRACT
Background: Problematic smartphone use (PSU) is linked to various mental health issues, but the relationship between PSU, bedtime procrastination, and mental health symptoms is unclear. Sleep factors related to PSU and its mental health effects have been understudied. This study explores the longitudinal associations between PSU, bedtime procrastination, sleep quality, and mental health in university students. Methods: In this study, a total of 683 university students participated by completing questionnaires on Smart Phone Addiction (SAS) scale, Bedtime Procrastination Scale (BPS), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety Stress Scales 21 (DASS-21) across two different time points with six-months interval between them. The participants were selected using a cluster sampling technique from Quaid-e-Azam University, Islamabad, Pakistan. A cross-lagged model was utilized to assess the longitudinal association between these variables. Results: Statistically significant reciprocal associations were found between PSU, bedtime procrastination, and mental health symptoms. PSU at Time 1 significantly predicted PSU at Time 2, bedtime procrastination at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Bedtime procrastination at Time 1 predicted PSU at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Sleep quality at Time 1 predicted bedtime procrastination at Time 2 and mental health symptoms at Time 2. Mental health symptoms at Time 1 predicted PSU at Time 2 and sleep quality at Time 2. Conclusion: The research findings have significantly advanced understanding of the longitudinal connections between PSU, bedtime procrastination, sleep quality, and mental health indicators. This enhanced comprehension is instrumental for psychological practitioners in devising targeted interventions to mitigate such issues among the university student demographic.
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Background: Sleep disorders frequently affect end-stage renal disease patients on dialysis. However, the relationship between sleep quality and residual kidney function is still unclear. Therefore, this study aimed to investigate this relationship. Methods: In this analytical cross-sectional study, 225 patients who were referred to dialysis centers were studied, and based on renal function, they were classified into two groups with and without residual kidney function. The study employed the Pittsburgh Sleep Quality Index questionnaire to evaluate sleep quality. Multiple linear regression was utilized to determine the factors affecting sleep quality with a significance level consideration at p<0.05. Results: The mean age of patients was 58.23 ± 13.50 years. 58.7% of patients were males. The problem of serious and very serious sleep in the Sleep latency and sleep duration has been more than other components. 72% of hemodialysis patients had poor sleep quality. In the multiple linear regression model, age (ß = 0.442, 95% CI: 0.096, 0.788), sex (ß = -0.847, 95% CI: -1.641, -0.054), Body mass index (ß = 0.153, 95% CI: 0.058, 0.249) and dialysis duration (ß = 0.097, 95% CI: 0.002, 0.192) were independently and significantly associated with sleep quality score. However, there was no statistically significant relationship between sleep quality and residual kidney function. Conclusion: In conclusion, poor sleep quality is very common in patients undergoing hemodialysis. Therefore, sleep disorders in hemodialysis patients should be considered as one of the most challenging problems by healthcare providers, and early diagnosis and intervention are essential to improve sleep quality.
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BACKGROUND: Adolescence is a unique stage of life accompanied by physiological and psychological modifications, along with stress, confusion, and depression. MATERIALS AND METHODS: The present descriptive-analytical cross-sectional research was done on 267 male adolescents who studied at high schools in Zanjan, Iran. Demographic characteristics questionnaires, a 48-item food frequency questionnaire, a short version of the International Physical Activity Questionnaire (IPAQ), the Depression Anxiety Stress Scale (DASS-21), and the Pittsburgh Sleep Quality Index (PSQI) were used to collect data. RESULTS: The mean ± standard deviation (SD) of age, weight, height, and sitting time was 15.94 ± 0.91 years, 68.53 ± 15.28 kg, 1.75 ± 0.06 m, and 449.25 ± 322.06 min, respectively. The study results showed that students with poor sleep quality showed a higher rate of depression than those with good sleep quality in the high and low physical activity groups (p < 0.05). The stress, depression, and anxiety scores significantly correlated with sleep quality in the physical activity groups (p < 0.05). The structural equation model analysis results showed that mental health directly affected sleep quality; this association was significant in the low physical activity group. CONCLUSION: We found that sleep quality was independently related to mental health in young Iranian men. However, dietary intake was not a significant predictor of mental health or sleep quality. More studies are required to evaluate the association between dietary intake and sleep quality in adults.
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Anxiety , Depression , Exercise , Sleep Quality , Humans , Male , Adolescent , Iran/epidemiology , Depression/epidemiology , Depression/psychology , Depression/physiopathology , Anxiety/epidemiology , Anxiety/physiopathology , Anxiety/psychology , Cross-Sectional Studies , Nutrients , Surveys and QuestionnairesABSTRACT
BACKGROUND AND AIM: Today's internet is an unavoidable component of educational sources, the entertainment field, and telecommunication processes. Internet usage is more likely among adolescents and young adults in the form of surfing, chatting, playing games, and fulfilling their social needs. The present study has been planned to assess the effect of internet addiction (IA) on sleep quality in school children. METHODS: This cross-sectional school-based study was conducted among school students in Pondicherry. A total of 350 school students of both genders studying in grades six to 10 and having access to at least one device with internet for more than one year were recruited from government and private schools located in five randomly selected communes in Pondicherry by convenient sampling method. Assessment of IA was done using Young's Internet Addiction Test (YIAT). The Pittsburgh Sleep Quality Index (PQSI) questionnaire assessed the participants' sleep quality. All the data was tested for normality using the Kolmogorov-Smirnov test. Chi-square and unpaired t-tests were used for analysis. RESULTS: The average age of the participants is 13 years. 49 (26.1%) are children and 139 (73.9%) are adolescents. The majority of them are females belonging to the adolescent age group (169, 89.4%). Around 17 (19.5%) children and 70 (80.5%) adolescents reported mild IA. Thirteen (59.1%) children and nine (40.9%) adolescents reported moderate IA. There is no significant difference in sleep quality between children and adolescents (4±2.33 vs. 3.62±2.61, p=0.37) but there is a considerable difference in their levels of IA (32.98±21.06 vs. 25.6±15.08, p=0.01). Conclusion: This study found a significant relationship between IA and poor sleep quality among adolescents. Thus, adolescents, parents, school authorities, and researchers should understand the importance of regulating internet usage and encouraging sleep hygiene. Thus, appropriate measures should be taken to address the effects of IA on sleep quality.
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Introduction: This study investigated the quality of sleep in a sample of individuals from Southern Italy after the major waves of the COVID-19 pandemic, with the aim of evaluating how sleep patterns changed. Methods: A cross-sectional study was conducted between March 2022 and January 2023 and involved adults who had a COVID-19 infection, who were invited to complete a self-administered online questionnaire. Results: A total of 408 individuals participated in the survey. Overall, 66.4% had a reduction in social relations; 72.1% had an increase in the use of social media; and 86%, 77.2%, and 71.1% reported an extremely severe level of anxiety, stress, and depression, respectively. Almost all of the respondents had a Pittsburgh Sleep Quality Index score (PSQI) ≥5, indicating poor sleep quality. Subjects with a severe or extremely severe depression score, a severe or extremely severe stress score, who had a job, and who had someone close who died because of a COVID-19 infection were more likely to have a high PSQI global score. The use of sleep medication in the past months was significantly higher in those who were older, who had a job, who had a COVID-19 infection in the first and second waves, who had someone close who died from COVID-19, and who did not have changes in social relationships during the pandemic. Moreover, participants with severe or extremely severe depression scores, with severe or extremely severe stress scores, who were women, and who were older had troubles staying awake while engaging in social activities during the past month. Conclusion: The results bring to light the high prevalence of poor sleep quality among individuals who were infected with SARS-CoV-2. Future research is needed to understand whether these disturbances are still present in the endemic period and whether it is necessary to investigate further determinants that have affected and/or are affecting sleep quality.
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Background and Aims: Alternative therapies, such as zinc supplementation, have been explored as potential interventions for sleep disorders. However, the efficacy of zinc supplementation in improving sleep quality remains uncertain. This systematic review aims to examine the impacts of zinc supplementation on sleep quality in humans. Methods: The Web of Science, Medline, Scopus, and Google Scholar databases were comprehensively searched to find studies investigating the effect of zinc supplementation on sleep quality. After identifying relevant studies by screening, relevant data were extracted from them. The quality assessment was conducted using the Cochrane quality assessment tool. Results: This systematic review included eight studies. The interventions ranged from 4 to 48 weeks, with a daily dose of zinc supplementation varying between 10 and 73.3 mg. The majority of the evidence examined in this review pointed to the significant improvement effect of zinc supplementation on sleep quality in adults compared to the control groups. Furthermore, zinc supplementation did not have a significant effect on sleep disorders. However, there was no consensus about these findings. Also, the effect of supplementation on sleep duration in nonadults was contradictory. Conclusions: This systematic review suggests that zinc supplementation may lead to improvements in sleep quality. However, more research, primarily clinical trials, is needed to clarify the beneficial effects of zinc supplementation on sleep quality with consideration of dietary zinc intake and the Recommended Dietary Allowances of zinc (RDA) in the different populations. It is also recommended to investigate the effect of zinc supplementation on sleep quality in people with zinc deficiency in future studies.
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BACKGROUND: The effects of inhaled aromatherapy on sleep quality in critically ill patients in the intensive care unit (ICU) have been widely studied. Specific essential oil combinations have been highlighted for their potential to promote sleep in these patients. AIM: To offer additional insights and future directions for the application of aromatherapy in improving sleep quality among critically ill patients, considering the current evidence and addressing gaps in research. DISCUSSION: While certain blends of essential oils, such as lavender, Matricaria recutita, and neroli, have shown promise, other studies have produced mixed results regarding the optimal aromatherapy interventions. Integrating aromatherapy with other non-pharmacological approaches, such as earplugs, eye masks, or music, may offer enhanced sleep benefits. Further research is needed to evaluate aromatherapy's effects on specific populations, such as intubated patients, and to assess feasibility, cost-effectiveness, and potential adverse effects. CONCLUSION: Aromatherapy shows promise for improving sleep quality in critically ill patients but should be integrated with other evidence-based, non-pharmacological interventions. Addressing research gaps is crucial for developing comprehensive strategies to enhance sleep quality in ICU settings.
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BACKGROUND: Recent research has revealed that today's older adults report more sleep problems than their predecessors, a trend compounded by expanding social stratification. As such, this study examined the demographic, socioeconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India. METHODS: The current study sample draws on data from 7118 respondents aged 50 years and over participating in the World Health Organization's Study on global AGEing and adult health (WHO-SAGE) wave-2 dataset. Sleep quality (good, moderate, and poor) and sleep duration (in hours and minutes) were self-reported. Adjusted multivariable logistic regression models were employed to examine the associations between sleep quality and sleep duration and several demographic, socioeconomic, and health indicators. RESULTS: A total of 12.84% and 36.1% of older adults reported long (> 8 h) and short (< 7 h) sleep, respectively. Older adults with primary education had lower odds of poor sleep [aOR: 0.85, CI: 0.73-0.99] than peers with no formal education. The odds of poor sleep were lower among those in higher wealth quintiles than those in the poorest quintile. Older adults with higher education had higher odds of short sleep [aOR: 1.36, CI: 1.06-1.74], and those with primary education had lower odds of long sleep [aOR: 0.70, CI: 0.54-0.91] than those without formal education (base category: age-appropriate sleep, i.e., 7-8 h). Older adults who were widowed had lower odds of both short [aOR: 0.82, CI: 0.68-0.98] and long sleep [aOR:0.74, CI: 0.58-0.95] compared to those who were currently married. Older individuals with adequate nutritional intake reported lower odds of short [aOR:0.59, CI: 0.49-0.72] and higher odds of long sleep [aOR:1.52, CI: 1.20-1.93] relative to their counterparts. Older adults who reported chronic conditions and body pain had higher odds of poor sleep and short sleep than their counterparts. CONCLUSIONS: We identified significant associations between several unmodifiable factors, including age, education, and marital status, and modifiable factors such as dietary intake, body pain, and pre-existing chronic ailments, and sleep quality and sleep duration. Our findings can assist health care providers and practitioners in developing a more holistic and empathic approach to care. Moreover, that several demographic, socioeconomic, and health-related factors are consequential for older adults' sleep health suggests that early detection through screening programs and community-based interventions is vital to improving sleep among older Indians who are most susceptible to sleep problems.
Subject(s)
Sleep Quality , Humans , Male , India/epidemiology , Female , Aged , Middle Aged , Socioeconomic Factors , Independent Living/statistics & numerical data , Sleep/physiology , Health Status , Aged, 80 and over , Sleep Wake Disorders/epidemiology , Aging/physiology , Aging/psychology , Self Report , Sleep DurationABSTRACT
Objective: Sleep disturbances among college students have become a significant issue affecting their daily lives. This study aims to explore the relationship between smartphone dependence and sleep quality and examine the mediating roles of negative emotions and health-promoting behaviors. Methods: A total of 23,652 college students were included in the study, and 21,314 valid questionnaires were collected. The survey assessed demographic factors, smartphone dependence, sleep quality, negative emotions, and health-promoting behaviors. A chain mediation analysis was conducted to examine the relationships among these factors. Results: Smartphone dependence was significantly positively correlated with sleep quality (r = 0.272, p < 0.001) and negative emotions (r = 0.414, p < 0.001), and significantly negatively correlated with health-promoting behaviors (r = -0.178, p < 0.001). Sleep quality was positively correlated with negative emotions (r = 0.472, p < 0.001) and negatively correlated with health-promoting behaviors (r = -0.218, p < 0.001).Smartphone dependence was a significant positive predictor of sleep quality. Moreover, negative emotions and health-promoting behaviors influenced the relationship between smartphone dependence and sleep quality. The total effect, direct effect, and indirect effect values were 0.304, 0.122, and 0.170, respectively. Conclusion: Different demographic factors (such as gender and place of residence) can lead to variations in different variables. Smartphone dependence and negative emotions have a positive impact on sleep quality among college students, while health-promoting behaviors have a negative impact. Smartphone dependence directly and positively affects sleep quality and can also influence it indirectly through the mediating effects of negative emotions and health-promoting behaviors, both individually and in a chain-like manner.
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Emotions , Health Behavior , Sleep Quality , Smartphone , Students , Humans , Female , Male , Students/psychology , Young Adult , Surveys and Questionnaires , Universities , Health Promotion , Adolescent , AdultABSTRACT
Adolescents devote a significant portion of their time to smartphone usage, often engaging in social media activities. Social media use has previously been linked to diminished sleep quality and reduced sleep durations in correlational studies. In this experimental study, we aimed to investigate the influence of pre-sleep social media use on memory consolidation, subjective arousal and objectively assessed sleep quality in adolescents. We compared the social media condition to two reading conditions, one involving reading a book on a smartphone and the other reading from a physical book in a within-subjects design. Twenty participants between 12 and 14 years engaged in these activities for 45 min before bedtime. Contrary to our expectations, the results indicated that pre-sleep social media use did not have a discernible impact on sleep quality, pre-sleep arousal or memory consolidation. All assessed sleep measures remained consistent across the three conditions. Subjectively, the social media condition was rated less thrilling than the reading conditions. This suggests that, within the confines of this experiment, pre-sleep social media exposure did not significantly disrupt adolescents' sleep or their ability to consolidate memories during sleep. This deviation from previous correlational studies might be explained by a possible impact of mental health factors on media consumption and sleep or the fact that contrary to their daily routines participants had to sleep after our intervention and could not continue to engage in their activities. This highlights the need for further investigations into the complexities of this interaction.
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Eveningness has been associated with both disturbed sleep and depression. It is unclear, however, if deprived sleep explains evening types' vulnerability to depression. The role of pre-sleep rumination in these associations also remains understudied. The present study assessed the relationship between eveningness and sleep quality, as well as the possible mediating effect of pre-sleep rumination and the moderating effect of a history of depression, under naturalistic conditions. Eighty-eight Dutch-speaking participants (87.5% females, 21.4 ± 3.7 years) were selected on the basis of their non-intermediate chronotype using the Morningness Eveningness Questionnaire (evening types (n = 53); morning types (n = 35)). Depression status was assessed through a diagnostic interview (healthy (n = 61); remitted depressed (n = 27)). Participants' sleep characteristics were monitored via actigraphy and sleep diaries for seven consecutive days and nights. Pre-sleep rumination was measured via a self-report questionnaire. Evening types had longer subjective and actigraphic sleep onset latency than morning types. Pre-sleep rumination did not mediate the former associations but predicted longer subjective sleep onset latency. Furthermore, the relationship between chronotype and subjective sleep onset latency was moderated by depression history. Remitted depressed evening types reported longer sleep onset latency than healthy evening and morning types, possibly posing the former at a higher risk for depressive relapse. Overall, the current findings address the need to further investigate the physiological signature of circadian rhythms and sleep latency. This could serve as a foundation for the development of prevention and early intervention programs, tailored for mood and sleep disorders.
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BACKGROUND: This study aims to investigate the association between sleep duration, sleep quality, and the risk of low back pain (LBP) among middle-aged and elderly individuals in China. METHODS: Utilizing data from the China Health and Retirement Longitudinal Study spanning 2011 to 2020, we categorized sleep duration into long, medium, and short categories, and sleep quality into good, fair, and poor levels. LBP status was determined based on self-reported information by participants. Multivariable logistic regression analysis was employed to assess the relationship between sleep duration, sleep quality, with the risk of LBP. RESULTS: A total of 6750 individuals were included in the longitudinal study. After 9 years of follow-up, the prevalence of LBP was 25.69 %. In the fully adjusted model, compared to individuals with medium sleep duration, those with short sleep duration had a 28 % increased risk of developing LBP (OR = 1.28, 95%CI: 1.12, 1.46). Additionally, when compared to individuals with good sleep quality, those with fair and poor sleep quality had a 35 % (OR = 1.35, 95%CI: 1.19, 1.54) and 33 % (OR = 1.33, 95%CI: 1.12, 1.58) increased risk of LBP, respectively. Joint analysis of both factors revealed that individuals with poor sleep quality and short sleep duration had the highest risk of LBP. CONCLUSION: Among middle-aged and elderly individuals in China, short sleep duration and poor sleep quality were associated with an increased risk of LBP. Future studies should further explore the mechanisms underlying this association and validate the findings through randomized controlled trials.
ABSTRACT
IMPORTANCE: Sleep disturbances in Parkinson's disease (PD) are common and often adversely affect quality of life. Light therapy has benefited sleep quality and mood outcomes in various populations but results to date with conventional light therapy boxes in PD patients have been mixed. We hypothesized that a passive lighting intervention, applied in the morning and designed to maximally affect the circadian system, would improve measures of sleep and mood in PD patients. METHODS: In this single-arm, within-subjects intervention study, baseline objective sleep (actigraphy), subjective sleep quality (questionnaires), and subjective mood (questionnaires) data were collected for 1 week. Lighting was then administered to participants via table/floor lamps installed in the home or via personal light therapy glasses for 2 h in the morning, 7 days per week, over the following 4-week period. Post-intervention data for the same outcomes were collected during the final week of the intervention period. RESULTS: Among 20 participants (12 women, 8 men; mean [SD] age 72.1 [9.5] years, disease duration 9.0 [5.2] years), objective sleep duration increased significantly by 28.5 min (p = 0.029) and objective sleep time increased significantly by 19.9 min (p = 0.026). CONCLUSION: Passive and easily administered lighting interventions for improving sleep in PD patients hold promise as a treatment for mitigating symptoms and improving quality of life in PD.
ABSTRACT
BACKGROUND: Multiple system atrophy (MSA) is a fatal alpha-synucleinopathy characterized by variable combinations of parkinsonism, autonomic and cerebellar dysfunction. Sleep in MSA is highly compromised due to various sleep disturbances. Disrupted sleep-wake cycles in MSA contribute to poor health-related quality of life and are negative prognostic factors. OBJECTIVES: We aimed to study the various sleep disturbances; the effect of parkinsonian and cerebellar phenotypes on sleep; and the correlation of sleep parameters with disease severity in an Asian-Indian cohort of probable MSA patients. METHODS: We recruited 60 probable MSA patients (MSA-P = 19; MSA-C = 41). Disease severity was assessed using UPDRS-III, UMSARS-I and UMSARS-II. Detailed history and relevant sleep questionnaires were applied to evaluate the sleep disturbances. RESULTS: Sleep disturbances were universally observed in probable MSA patients in this cohort. These include REM behavior disorder (RBD)-95 %; poor sleep quality-80 %; secondary insomnia and intermittent awakenings-100 %; excessive daytime sleepiness-26 %; risk for obstructive sleep apnea-51.7 % and snoring-85 %. MSA patients reported 38.2 ± 22.9 percentage improvement in sleep with the medications. There was no significant difference between probable MSA-P and MSA-C patients in any of the sleep parameters. Sleep quality was poor in patients with pre-motor RBD than post-motor RBD (p < 0.01). Poor sleep quality had a moderate positive correlation with RBD duration. Disease severity positively correlated with RBD duration and poor sleep quality. CONCLUSIONS: Sleep disturbances, the negative prognostic factors, were universally observed in this Asian Indian MSA cohort. This study provides supporting evidence that RBD might play a possible role in MSA disease severity, progression, and sleep quality.