scholarly journals A cross-sectional study for the mental health status and sleep quality among college students in Macao during the COVID-19 pandemic

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12520
Author(s):  
Xiaoyu Tao ◽  
Dong Chen ◽  
Yawen Fan ◽  
Lanxin Zhang ◽  
Houqian Shan ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Health Status ◽  
Sleep Quality ◽  
Health Condition ◽  
Mental Health Status ◽  
Mental Health Condition ◽  
Cross Sectional ◽  
Sleeping Pills

Objectives The main focus of this study was to investigate the effect of the coronavirus disease (COVID-19) pandemic on the mental health condition and sleep quality of college students in Macao. In addition, the students’ behaviours during the pandemic, such as drinking alcohol, taking sleeping pills, and seeking psychological counselling were analyzed. Method A cross-sectional survey of mental health and sleep quality status, as well as the possible behavioral risk factors, was conducted among the college students of Macao in August, 2020 during the COVID-19 pandemic. An online self-report questionnaire survey method was applied to assess the general demographics and related lifestyle behaviors of students. The general mental health condition and sleep quality were evaluated through the General Health Questionnaire (GHQ-12) and Pittsburgh Sleep Quality Index (PSQI) questionnaires, respectively. The main statistical methods included the Chi-square test, Bonferroni correction, and Pearson correlation. Data analysis was performed using SPSS Version 24.0. Results A total of 980 students were investigated in the study, of which 977 completed the survey. During the COVID-19 pandemic period, overall college students in Macao were psychologically well adjusted and reported good quality of sleep. However, female students were in poorer psychological condition than males (P < 0.05). Moreover, the students over 20 years of age had poorer sleep quality than students aged less than or equal to 20 (P < 0.05). The significant differences were found among the students in different study majors for the mental health status and sleep quality (both P < 0.05), which were associated with certain behaviors, such as drinking alcohol, taking sleeping pills, and seeking for help in psychological counselling during the COVID-19 pandemic period. Conclusions Poor mental health status could be either the consequence or cause of sleep disturbance, which might further affected physical health. Therefore, regular assessment of mental health condition and sleep quality of college students is particularly necessary during public health emergencies, such as the COVID-19 pandemic, and appropriate intervention should be provided to the students.

scholarly journals Harm Perceptions of E-cigarettes Among Smokers With and Without Mental Health Conditions in England: A Cross-Sectional Population Survey

2020 ◽  
Author(s):  
Charlie Albert Smith ◽  
Lion Shahab ◽  
Ann McNeill ◽  
Sarah E Jackson ◽  
Jamie Brown ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Health Condition ◽  
Mental Health Status ◽  
Health Conditions ◽  
Similar Proportion ◽  
Cross Sectional ◽  
Mental Health Conditions ◽  
Disadvantaged Groups ◽  
Nationally Representative

Abstract Introduction E-cigarettes (ECs) may benefit smokers with mental health conditions who are more likely to smoke, and smoke more heavily, than those without mental health conditions. This could be undermined if harm misperceptions in this group are high as is the case in the general population. This study aimed to assess EC harm perceptions relative to cigarettes as a function of mental health status and a variety of characteristics. Methods Data were collected from 6531 current smokers in 2016/2017 in household surveys of representative samples of adults. The associations of mental health status (self-reported mental health condition and past year treatment), smoking and EC use characteristics, and characteristics relating to use of potential information sources with harm perceptions of ECs relative to cigarettes (measured by correct response “less harmful” vs. wrong responses “more harmful,” “equally harmful,” “don’t know”) were analyzed with logistic regression. Results A similar proportion of smokers without mental health conditions (61.5%, 95% CI 60.1–62.9) and with mental health conditions (both with [61.3%, 95% confidence interval [CI] 58.7–63.8] and without past year treatment [61.5%, 95% CI 58.1–64.7]) held inaccurate EC harm perceptions (all P &gt; 0.05). Being female, nonwhite, aged 25–34 compared with 16–24, from lower social grades (C2, D, and E), not having post-16 qualifications, no EC experience, a daily smoker, unmotivated to quit &lt;1 month, non-internet user and non-broadsheet reader were all associated with more inaccurate harm perceptions (all p &lt; .05). Conclusions The majority of smokers in England have inaccurate harm perceptions of ECs regardless of mental health status. Implications This study is the first to use a nationally representative sample in order to investigate whether smokers with and without mental health conditions differ with regard to harm perceptions of ECs. Findings show that the majority of smokers in England hold inaccurate harm perceptions of ECs, and this does not differ as a function of mental health status. A number of characteristics associated with disadvantaged groups were significantly associated with inaccurate harm perceptions. These findings highlight the need to improve awareness and understanding among disadvantaged groups regarding the relative harms of ECs compared with tobacco.

scholarly journals Insomnia, psychiatric disorders and suicidal ideation in a national representative sample of active Canadian Forces members

2021 ◽  
Author(s):  
J. D. Richardson ◽  
A. Thompson ◽  
L. King ◽  
B. Corbett ◽  
Philippe Shnaider ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Suicidal Ideation ◽  
Representative Sample ◽  
Past Research ◽  
Health Condition ◽  
Mental Health Status ◽  
Canadian Forces ◽  
Mental Health Condition ◽  
The Relationship

Background Past research on the association between insomnia and suicidal ideation (SI) has produced mixed findings. The current study explored the relationship between insomnia, SI, and past-year mental health status among a large Canadian Forces (CF) sample. Method Data was obtained from the 2013 Canadian Forces Mental Health Survey (CFMHS), and included a large representative sample of Canadian Regular Forces personnel (N = 6700). A series of univariate logistic regressions were conducted to test individual associations between past-year mental health status, insomnia, and potential confounds and SI. Mental health status included three groups: 0, 1, or two or more probable diagnoses of posttraumatic stress disorder (PTSD), major depressive disorder (MDD), generalized anxiety disorder (GAD), panic disorder (PD) and alcohol abuse/dependence. Stepwise multivariate logistic regression was used to assess the relationship between insomnia and SI with mental health status as a moderator. Results 40.8% of respondents reported experiencing insomnia. Both insomnia and number of mental health conditions incrementally increased the risk of SI. However, past-year mental health status was a significant moderator of this relationship, such that for CF personnel with either no (AOR = 1.61, 1.37–1.89) or only one past-year mental health condition (AOR = 1.39, 1.12–1.73), an incremental increase in insomnia was associated with an increased likelihood of SI. However, in personnel with two or more past-year mental health disorders, insomnia was no longer significantly associated with SI (AOR = 1.04, 0.81–1.33). Conclusions Insomnia significantly increased the odds of SI, but only among individuals with no or one mental health condition. Findings highlight the importance of assessing insomnia among CF members in order to further suicide prevention efforts.

scholarly journals Associations between Suboptimal Sleep and Smoking, Poor Nutrition, Harmful Alcohol Consumption and Inadequate Physical Activity (‘SNAP Risks’): A Comparison of People with and without a Mental Health Condition in an Australian Community Survey

2021 ◽  
Vol 18 (11) ◽  
pp. 5946
Author(s):  
Alexandra P. Metse ◽  
Tara Clinton-McHarg ◽  
Elise Skinner ◽  
Yogayashwanthi Yogaraj ◽  
Kim Colyvas ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
At Risk ◽  
Health Status ◽  
Alcohol Consumption ◽  
Health Effects ◽  
Health Condition ◽  
Mental Health Status ◽  
Mental Health Condition ◽  
Adverse Health Effects

Introduction: People with a mental health condition experience disproportionate morbidity and mortality compared to the general population. This inequity has been largely attributed to a higher prevalence of chronic disease risk behaviours including smoking, poor nutrition, harmful alcohol consumption and inadequate physical activity (‘SNAP risks’). Suboptimal sleep is highly prevalent among people with a mental health condition and, as an identified risk behaviour for several chronic diseases, has been implicated as an additional contributor to this health inequity. Research involving people without a mental health condition suggests associations between poor sleep and each SNAP risk; however, interactions with mental health status have not been reported in an Australian population. This study explored associations between suboptimal sleep and all four SNAP risks, and assessed whether they vary by mental health status. Materials and Methods: A descriptive study (n = 1265) was undertaken using self-report data from a cross-sectional telephone survey of Australian adults. Based on national guidelines and recommendations that indicate when someone might be at risk of adverse health effects, SNAP risks and sleep variables were reduced to two levels: ‘at risk’ or ‘not at risk’; and ‘appropriate’ or ‘suboptimal’, respectively. Chi square tests and multivariable logistic regression models explored associations between suboptimal sleep, SNAP risks and mental health status. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Being at risk of adverse health effects due to smoking had the strongest association with several measures of suboptimal sleep (ps < 0.05). Two-way interactions revealed that being at risk of adverse health effects due to alcohol use and physical inactivity resulted in a significantly greater likelihood of suboptimal sleep duration (OR 3.06, 95% CI 1.41 to 6.64; OR 3.06, 95% CI 1.41 to 6.69) and nap duration (OR 7.96, 95% CI 1.90 to 33.22), respectively, for people with a mental health condition compared to those without. Conclusions: The findings suggest associations between suboptimal sleep and smoking, risky alcohol consumption and physical inactivity, with the latter two perhaps being stronger among people with a mental health condition compared to those without such a condition. Poor sleep should be considered in interventions to address smoking, alcohol and physical activity; and vice versa. This study lends further support for the value of multirisk lifestyle interventions to promote physical and mental health for people with mental health conditions.

scholarly journals Insomnia, psychiatric disorders and suicidal ideation in a national representative sample of active Canadian Forces members

2021 ◽  
Author(s):  
J. D. Richardson ◽  
A. Thompson ◽  
L. King ◽  
B. Corbett ◽  
Philippe Shnaider ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Suicidal Ideation ◽  
Representative Sample ◽  
Past Research ◽  
Health Condition ◽  
Mental Health Status ◽  
Canadian Forces ◽  
Mental Health Condition ◽  
The Relationship

Background Past research on the association between insomnia and suicidal ideation (SI) has produced mixed findings. The current study explored the relationship between insomnia, SI, and past-year mental health status among a large Canadian Forces (CF) sample. Method Data was obtained from the 2013 Canadian Forces Mental Health Survey (CFMHS), and included a large representative sample of Canadian Regular Forces personnel (N = 6700). A series of univariate logistic regressions were conducted to test individual associations between past-year mental health status, insomnia, and potential confounds and SI. Mental health status included three groups: 0, 1, or two or more probable diagnoses of posttraumatic stress disorder (PTSD), major depressive disorder (MDD), generalized anxiety disorder (GAD), panic disorder (PD) and alcohol abuse/dependence. Stepwise multivariate logistic regression was used to assess the relationship between insomnia and SI with mental health status as a moderator. Results 40.8% of respondents reported experiencing insomnia. Both insomnia and number of mental health conditions incrementally increased the risk of SI. However, past-year mental health status was a significant moderator of this relationship, such that for CF personnel with either no (AOR = 1.61, 1.37–1.89) or only one past-year mental health condition (AOR = 1.39, 1.12–1.73), an incremental increase in insomnia was associated with an increased likelihood of SI. However, in personnel with two or more past-year mental health disorders, insomnia was no longer significantly associated with SI (AOR = 1.04, 0.81–1.33). Conclusions Insomnia significantly increased the odds of SI, but only among individuals with no or one mental health condition. Findings highlight the importance of assessing insomnia among CF members in order to further suicide prevention efforts.

scholarly journals Quality of Life among Patients Undergoing Haemodialysis in Bandung: A Mixed Methods Study

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Kustimah Kustimah ◽  
Ahmad Gimmy Prathama Siswadi ◽  
Achmad Djunaidi ◽  
Aulia Iskandarsyah
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Qualitative Data ◽  
Physical Appearance ◽  
Health Condition ◽  
Negative Feeling ◽  
Mental Health Condition ◽  
Cross Sectional ◽  
Dialysis Unit

Quality of life (QoL) has become one of important outcome measures of renal replacement therapy, including haemodialysis. However, the assessment of QoL is not comprehensively measured and most research about it use quantitative approach. Since QoL is subjective, assessing and understanding the qualitative evidence are very important. This study aimed to explore QoL in patients with end-stage renal disease (ESRD) undergoing haemodialysis. This research is a cross-sectional study used a mixed method approach. Patients undergoing dialysis were recruited from the dialysis unit in one private hospital in Bandung. They completed the Kidney Disease and Quality of Life (KDQOL-36™) questionnaire and then went on face to face interview. Quantitative data were analysed descriptively and qualitative data were analysed using thematic analysis with qualitative data analysis software. A total of 87 patients completed the questionnaires and 34 of them participated in 20-60 minutes interview. The symptom and problem list had the highest mean score (M= M=63.60), indicated that patients experienced lack of energy, mobility and physical appearance that further produced difficulties in their daily activities. Additionally, mental component summary showed a higher mean score (M=49.23) than the physical component (M=36.22) indicated that patients most likely had worse mental health condition than their general physical health. Worse mental health condition induced with negative feeling among patients. Patient’s inability to do daily activity and change in physical appearance had impact on their confidence for social relationship. Conclusion: ESRD patients undergoing haemodialysis were bothered by the symptom of illness and worsen by the negative feelings.

scholarly journals Sleep Quality of the College Students Based on Their Nutrition and Internet Usage: A Web-based Cross-sectional Study

2020 ◽  
Author(s):  
Fatemeh Sharafi ◽  
Azadeh Lesani ◽  
Maryam Javadi
Keyword(s):  
College Students ◽  
Health Status ◽  
Sleep Quality ◽  
Significant Relationship ◽  
Pearson Correlation ◽  
The Internet ◽  
Cross Sectional ◽  
Web Based ◽  
The Mean

Background: Excessive utilization of electronic media may affect the individuals' health and quality of sleep. This study aimed to investigate sleep quality of the college students based on their diets and duration of time spent on the internet. Methods: In this cross-sectional web-based study, 385 students were selected randomly from the Qazvin University. Data was collected by a self-administered online questionnaire designed in Google-drive. The questionnaire included demographic information, Petersburg sleep quality, duration of time spent on the internet, food habit, health status, physical activity, and anthropometric characteristics. A total of 229 students filled out the questionnaire completely. To analyze the data, SPSS version 22 was used. Paired t-test, ANOVA, ANCOVA, and Pearson correlation coefficient were applied for statistical analyses. Results: The mean time spent on the internet was 28.83 ± 20.89 hours/week, which showed a significant relationship with the students' health status (P = 0.005), sleep quality score (P = 0.048), components of sleep quality (P = 0.029), and sleep disorder (P = 0.01). The mean score of Petersburg sleep quality index demonstrated a significant relationship with marital status (P = 0.029), Body mass index (P = 0.008), as well as consumption of some food groups like fruits, sausage and salami, and canned foods (P = 0.048, 0.05, 0.01). Conclusions: Students who used the internet a lot had poor-quality sleep and unhealthy food choices. This was a reciprocal relation. Consequently, a healthier life style and minimum duration of time on the Internet can lead to physical health and better quality asleep.

scholarly journals Subjective and Objective Consequences of Stress in Subjects with Subjectively Different Sleep Quality—A Cross-Sectional Study

2021 ◽  
Vol 18 (19) ◽  
pp. 9990
Author(s):  
Beatrice Thielmann ◽  
Robin Sebastian Schierholz ◽  
Irina Böckelmann
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Sleep Quality ◽  
Significant Interaction ◽  
Occupational Safety ◽  
General Health Questionnaire ◽  
Interaction Effects ◽  
Mental Health Status ◽  
Cross Sectional ◽  
Stress Indicator

Background: Restful sleep plays an important role in long-term health and occupational safety. Heart rate variability (HRV) is used as stress indicator. The aim of this study was to determine whether HRV at rest or during sleep, as an objective indicator of stress, reflects subjectively assessed sleep quality. Methods: 84 subjects (37.3 ± 15.6 years) were classified into good sleepers and poor sleepers based on the results of the Pittsburgh Sleep Quality Index (PSQI). The cut-off value to distinguish between good and bad sleepers recommended by Buysse et al. 1989 is >5. Mental health status was determined using the 12-Item General Health Questionnaire (GHQ-12). A 24 h electrocardiogram (ECG) was recorded for HRV analysis (total and 6 h night phase). Results: The poor sleepers showed a significantly lower mental health status (p = 0.004). The multifactorial variance analysis of the total phase time parameters Min HR (p = 0.032, η2 = 0.056) and SI (p = 0.015, η2 = 0.072) showed significant interaction effects. In the 6h night phase, significant interaction effects were found for SDNN (p = 0.036, η2 = 0.065) and SD2 (p = 0.033, η2 = 0.067). In addition, there was a significant negative correlation between HRV and stress and a positive correlation between HRV and mental health. Conclusions: Although this study did not demonstrate a direct relationship between sleep quality and HRV, it was shown that there are important connections between sleep quality and mental health, and between HRV and mental health.

Mental Health Status and Health-Related Quality of Life among Systemic Lupus Erythematosus (SLE) Patients in Thailand: A Multi-Site Study

2020 ◽  
Vol 103 (11) ◽  
pp. 1185-1193
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Lupus Erythematosus ◽  
Self Esteem ◽  
Mental Health Status ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background: The systemic lupus erythematosus (SLE) patients oftentimes suffer from both physical and psychosocial challenges that may lead to low health-related quality of life (HRQoL). However, limited research has been done in this area. Objective: To examined mental health status and HRQoL among SLE patients in Thailand. Materials and Methods: The present study was a cross-sectional study conducted at the rheumatology clinic of four major hospitals in Thailand. The paper-based questionnaire consisted of demographic, health history such as depression, anxiety, stress Scale (DASS-21), and the Rosenberg self-esteem scale (RSE), and the disease-specific Lupus Quality of Life scale (LupusQoL). Depending on the variable’s level of measurement such as categorical or continuous, Spearman’s Rho or Pearson’s product moment correlation coefficients were used to explore the relationships among the variables. Hierarchical multiple regression was used to identify the predictors of LupusQoL. Results: Among the 387 participants, many might have experienced depression, anxiety, and stress (30%, 51%, and 29%, respectively). Self-esteem among the participants was good (31.8 out of 40). All eight domains of LupusQoL were affected with intimate relationship domain being impacted the most. The overall LupusQoL was significantly associated with the number of prescribed medications (r=–0.23), depression (r=–0.70), anxiety (r=–0.58), stress (r=–0.67), and self-esteem (r=0.59), p<0.001. Significant predictors of the overall LupusQoL were mental health status (depression, anxiety, and stress) and self-esteem, F (3, 81)=43.10, p<0.001, adjusted R²=0.60. Conclusion: SLE patients should be holistically assessed in both physical and psychological aspects. In addition to proper medical treatments, healthcare providers should use a multidisciplinary team approach to resolve the patients’ psychosocial issues, which in turn, may increase the patients’ quality of life. Self-care education may be necessary to help the patients manage the condition and decrease the number of medications. Keywords: Mental health, Quality of life, SLE, Thailand

scholarly journals Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandra P. Metse ◽  
Caitlin Fehily ◽  
Tara Clinton-McHarg ◽  
Olivia Wynne ◽  
Sharon Lawn ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Physical Health ◽  
Health Condition ◽  
Community Dwelling ◽  
Mental Health Condition ◽  
Cross Sectional ◽  
Sleep Assessment ◽  
Assessment And Treatment ◽  
Sleep Parameters

Abstract Background Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. Methods A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.

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