scholarly journals Relationship between Emotional Intelligence, Sleep Quality and Body Mass Index in Emergency Nurses

Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 607
Author(s):  
Noelia Miguez-Torres ◽  
Alejandro Martínez-Rodríguez ◽  
María Martínez-Olcina ◽  
Laura Miralles-Amorós ◽  
Cristina Reche-García
Keyword(s):  
Body Mass Index ◽  
Emotional Intelligence ◽  
Sleep Quality ◽  
Body Mass ◽  
Working Hours ◽  
Type I ◽  
Emotional States ◽  
Emergency Nurses ◽  
Cross Sectional ◽  
Lack Of Sleep

Nurses have long working hours with high psychological burdens. In addition, in the emergency department, nurses are required to quickly adapt emotionally. The aim of this study was to describe and relate emotional intelligence (EI) skills of emergency nurses, their body mass index (BMI) and sleep quality. For this purpose, a cross-sectional was carried out in which the perceived emotional intelligence test and the Pittsburgh sleep quality index were applied. Sixty-two emergency nurses (48 women and 14 men) participated. The results indicated that the majority of them present adequate levels of EI, with no differences by gender. Younger nurses showed a better ability to feel, express and understand emotional states than the older ones, while the ability to regulate emotional states occurred in the opposite way. Nurses who have been working for several years showed a better ability to regulate emotions than those with less experience. Those who were overweight grade II and obese type I expressed their feelings better, also the regulation of emotional states decreased as weight increased. Finally, it has been observed that the quality of sleep of emergency nurses is significantly altered, and that this lack of sleep may affect their ability to process emotions.

scholarly journals Relationship between 2-minute step test, anthropometric measures and habitual physical activity in sedentary individuals

2019 ◽  
Vol 13 (1) ◽  
pp. 21-24
Author(s):  
Devyd Weyder Do Nascimento Freitas ◽  
Monalise Bastos Frazão ◽  
Jessyca Sousa Pereira ◽  
Mariana Quixabeira Guimarães Almeida ◽  
Adriana Sousa Rêgo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Area Under The Curve ◽  
Neck Circumference ◽  
Habitual Physical Activity ◽  
Step Test ◽  
Type I ◽  
Anthropometric Measures ◽  
Cross Sectional

Objective: To correlate the 2-minute step test (2MST) with anthropometric variables and habitual physical activity. Methods: This is a cross-sectional study. Sixty young adult participants of both sexes were classified into three groups with 20 participants each according to their body mass index (BMI): eutrophic, with a BMI between 18.5 and 24.9 kg/m2; overweight, with a BMI between 25 and 29.9 kg/m2; and obese type I, with a BMI between 30 and 34.9 kg/m2. In addition to personal and clinical data, we collected height, weight, BMI, waist and neck circumference measurements. The Baecke Questionnaire (BQ) and 2-minute step test (2MST) were used to measure habitual physical activity and functional capacity, respectively. Results: There was no difference between groups (p > 0.05) for the 2MST and BQ. There was no significant correlation between 2MST, anthropometric variables and habitual physical activity (p > 0.05, r = 0.005 to 0.248). Regarding the accuracy of 2MST in differentiating non-obese from obese subjects, there was insufficient accuracy, with an area under the curve of 0.54. Conclusion: 2MST does not relate to body mass index, abdominal and neck circumference, or habitual physical activity.

Association Between Hypertension, Body Mass Index, and Sleep: A Cross-Sectional Study

2020 ◽  
Vol 3 (01) ◽  
pp. 11-14
Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Body Mass ◽  
Quality Of Sleep ◽  
Cross Sectional

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.

107 Sleep Quality and Duration Are Associated with Greater Trait Emotional Intelligence

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A44-A44
Author(s):  
Michelle Persich ◽  
Sara Cloonan ◽  
Michael Grandner ◽  
William Killgore
Keyword(s):  
Emotional Intelligence ◽  
Sleep Quality ◽  
Emotional Processing ◽  
Self Control ◽  
Trait Emotional Intelligence ◽  
Cross Sectional ◽  
The Past ◽  
Emotional Perception ◽  
Lack Of Sleep ◽  
Trait Emotional Intelligence Questionnaire

Abstract Introduction Lack of sleep has been associated with altered connectivity between the emotion-regulating regions of the medial prefrontal cortex and the emotionally reactive structure of the amygdala. This altered brain function following insufficient sleep is believed to impair a range of emotional perception and regulation capacities. Our prior research has also shown that two nights of total sleep deprivation led to significant declines in Trait Emotional Intelligence (TEI) and other aspects of emotional processing and perception. Nonetheless, the extent to which general sleep quality and acute sleep duration may contribute to everyday TEI outside of laboratory conditions remains unknown. We hypothesized that poorer sleep quality and the amount of sleep obtained the night before assessment would both predict TEI scores. Methods 447 adults (18–40 yrs; 72% female) completed the Pittsburgh Sleep Quality Index (PSQI) and a question about the number of hours of sleep obtained the night before the assessment (SLEEP), as well as the Petrides Trait Emotional Intelligence Questionnaire (TEIQue). Sleep metrics were used to predict Total TEI, and the four TEIQue factors (Wellbeing, Self-Control, Emotionality, and Sociability) using multiple linear regression. Results Both PSQI (β=-.275, p<.00001) and SLEEP (β=.130, p<.00001) each contributed uniquely to prediction of Total TEI (R2=.11, p<.00001). Wellbeing was also predicted by a combination of PSQI (β=-.272, p<.00001) and SLEEP (β=.129, p=.006). In contrast, for Self-Control, only PSQI was significantly related (β=-.296, p<.00001). Both PSQI (β=-.131, p<.007) and SLEEP (β=.103, p<.034) each contributed to Emotionality. Finally, both PSQI (β=-.126, p<.010) and SLEEP (β=.107, p<.028) each contributed to Sociability. Conclusion Greater total TEI was uniquely predicted by a linear combination of 1) better general sleep quality over the past month and 2) greater quantity of sleep the night before the assessment session. The same pattern held for all scale factors, except Self-Control, which was only related to sleep quality over the past month. Although limited by the cross-sectional nature of the data, these findings support prior work suggesting that lack of sleep alters normal emotional processing and further suggests that both long-term sleep quality and acute restriction of sleep can affect trait-like emotional domains. Support (if any):

Accelerometer-Assessed Prolonged Sitting During Work and Leisure Time and Associations With Age, Body Mass Index, and Health: A Cross-Sectional Study

2020 ◽  
Vol 3 (3) ◽  
pp. 211-218
Author(s):  
Inger Mechlenburg ◽  
Marianne Tjur ◽  
Kristian Overgaard
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Negative Impact ◽  
Working Hours ◽  
Cross Sectional Study ◽  
Sitting Time ◽  
Cross Sectional ◽  
Registration System ◽  
Prolonged Sitting

Background: High levels of sitting may have a negative impact on health. The aim of this study was to examine how sitting time varies between work and leisure time and to identify parameters associated with overall sitting time and prolonged sitting. Methods: In a total of 189 persons ≥18 years randomly selected from the Danish Civil Registration System, sitting time was monitored with an accelerometer-based sensor mounted at the mid-thigh. Moreover, participants completed a questionnaire including data on demographics, work schedule, and general health. Data were processed using a custom built algorithm. Overall sitting was parametrized as mean % of time spent sitting and prolonged sitting as s (periods exceeding 30 minutes). Results: During working hours, the mean overall sitting time (49.2%) was significantly lower than during leisure time on both working days (60.6%, p < .0001) and on days off work (58.9%, p < .0001). For men, prolonged sitting was positively associated with age, while corresponding associations were negative among female participants (p = .01). Body mass index (BMI) increased by 0.06 kg/m2 for every % increase in prolonged sitting (p = .005). The odds ratio of reporting poor health was 1.05 for every % increase in overall sitting during leisure time on workdays (p = .005). Conclusions: Overall sitting time varies between work and leisure time. Prolonged sitting is positively associated with age for men and with BMI for both men and women.

scholarly journals Association Between Hypertension, Body Mass Index, and Sleep: A Cross-Sectional Study

2020 ◽  
Vol 3 (01) ◽  
pp. 11-14
Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Body Mass ◽  
Quality Of Sleep ◽  
Cross Sectional

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.

scholarly journals GAMBARAN SINDROMA PREMENSTRUASI DENGAN OBESITAS MAHASISWI FAKULTAS KEDOKTERAN UNIVERSITAS SAM RATULANGI

e-CliniC ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Tiara Faradita Rahim ◽  
Hermie M. M. Tendean ◽  
Erna Suparman
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Premenstrual Syndrome ◽  
Female Students ◽  
Medical Faculty ◽  
The Body ◽  
Type I ◽  
Obese Women ◽  
Cross Sectional ◽  
Increased Risk

Abstract: Premenstrual syndrome is a set of symptoms associated with the menstrual cycle. Usually appear one to two weeks before the menstrual period and disappeared after the start of menstruation. One of the premenstrual syndrome’s risk factor is the body mass index. The prevalence of premenstrual syndrome in Virginia was 10,3%. Obese women (body mass index ≥30) had nearly a three fold increased risk for premenstrual syndrome than non-obese women. The purpose of this study was to know the description of premenstrual syndrome with obesity in female students of Medical Faculty Sam Ratulangi University. Method used a descriptive with cross sectional approach in 43 female students in Medical Faculty of Sam Ratulangi University that qualify. Based on the research in 43 female students of Medical Faculty Sam Ratulangi University, showed that the most distribution of respondents age was 20 – 22 years old (72,1%), the most of obesity category is obesity type I with BMI 30 – 34,9 kg/m2 (95,3%), and mostly respondents have a premenstrual syndrome with predominant types of symptom was affective symptom.Keyword: premenstrual syndrome, obesityAbstrak: Sindroma premenstruasi merupakan sekumpulan gejala yang muncul terkait dengan siklus menstruasi. Biasanya muncul satu sampai dua minggu sebelum periode menstruasi dan menghilang setelah mulainya menstruasi. Salah satu faktor risiko sindroma premenstruasi adalah indeks massa tubuh. Prevalensi sindroma premenstruasi di Virginia pada 10,3%. Perempuan obesitas (indeks massa tubuh ≥30) mempunyai risiko mengalami sindroma premenstruasi tiga kali lebih besar dibanding perempuan non obesitas. Tujuan penelitian ini untuk mengetahui gambaran sindroma premenstruasi dengan obesitas mahasiswi Fakultas Kedokteran Universitas Sam Ratulangi. Metode yang digunakan bersifat deskriptif dengan pendekatan cross sectional pada 43 mahasiswi Fakultas Kedokteran Universitas Sam Ratulangi yang memenuhi syarat. Berdasarkan penelitian yang dilakukan pada 43 mahasiswi Fakultas Kedokteran Universitas Sam Ratulangi, didapatkan distribusi usia responden terbanyak antara 20 – 22 tahun (72,1%), kategori obesitas terbanyak adalah obesitas I dengan IMT berkisar antara 30 – 34,9 kg/m2 (95,3%), dan sebagian besar responden mengalami sindroma premenstruasi (81,4%) dengan gejala yang paling dominan muncul adalah gejala afektif.Kata kunci: sindroma premenstruasi, obesitas

scholarly journals Sleep Duration Determines Excess Body Mass Index among Young Adults in Surabaya

2022 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Niwanda Yogiswara ◽  
Widati Fatmaningrum ◽  
Lilik Herawati
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Sleep Duration ◽  
Body Mass ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Asia Pacific ◽  
Cross Sectional ◽  
Lack Of Sleep ◽  
Cross Sectional Design

Introduction: Lack of sleep duration is one of the risk factors that cause excess body mass index (BMI). One of the mechanisms are by regulating an increase in appetite and reducing the energy used. This study aimed to identify the relationship between sleep duration and excess BMI in young adults.Methods: This descriptive-analytic observational study with cross-sectional design was conducted on 70 respondents aged 18-25 years old. The primary outcomes measured were sleep duration and BMI. Sleep duration was grouped as <7 hours (short sleepers), and ≥7 hours. BMI was classified as 18.5-22.9 as normal, and ≥23 as excess BMI (including overweight and obesity) according to Asia-Pacific classification. Data were analyzed using SPSS 21 software.Results: The study showed that the prevalence of excess BMI was higher in respondents with sleep deprivation (<7 hours) of 67% compared to respondents with enough sleep of 33%. The average sleep duration was 42 minutes shorter on respondents with excess BMI with an average of 6.1 hours and 6.8 hours on normal-weight respondents. According to the results of the study, there was a significant relationship between sleep duration and excess BMI (p < 0.05).Conclusion: The study revealed that sleep duration was related with excess BMI in young adults.

scholarly journals Long working hours, anthropometry, lung function, blood pressure and blood-based biomarkers: cross-sectional findings from the CONSTANCES study

2018 ◽  
Vol 73 (2) ◽  
pp. 130-135 ◽  
Author(s):  
Marianna Virtanen ◽  
Linda Magnusson Hansson ◽  
Marcel Goldberg ◽  
Marie Zins ◽  
Sari Stenholm ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Blood Cells ◽  
White Blood Cells ◽  
Working Hours ◽  
Cross Sectional ◽  
Long Working Hours ◽  
Anthropometric Markers

BackgroundAlthough long working hours have been shown to be associated with the onset of cardiometabolic diseases, the clinical risk factor profile associated with long working hours remains unclear. We compared the clinical risk profile between people who worked long hours and those who reported being never exposed to long hours.MethodsA cross-sectional study in 22 health screening centres in France was based on a random population-based sample of 75 709 participants aged 18–69 at study inception in 2012–2016 (the CONSTANCES study). The data included survey responses on working hours (never, former or current exposure to long working hours), covariates and standardised biomedical examinations including anthropometry, lung function, blood pressure and standard blood-based biomarkers.ResultsAmong men, long working hours were associated with higher anthropometric markers (Body Mass Index, waist circumference and waist:hip ratio), adverse lipid levels, higher glucose, creatinine, white blood cells and higher alanine transaminase (adjusted mean differences in the standardised scale between the exposed and unexposed 0.02–0.12). The largest differences were found for Body Mass Index and waist circumference. A dose–response pattern with increasing years of working long hours was found for anthropometric markers, total cholesterol, glucose and gamma-glutamyltransferase. Among women, long working hours were associated with Body Mass Index and white blood cells.ConclusionIn this study, men who worked long hours had slightly worse cardiometabolic and inflammatory profile than those who did not work long hours, especially with regard to anthropometric markers. In women, the corresponding associations were weak or absent.

Obesity, physical activity and sleep quality in patients admitted to a posttraumatic stress inpatient ward

2020 ◽  
Vol 28 (3) ◽  
pp. 270-273
Author(s):  
Andrew Chen ◽  
Simon Rosenbaum ◽  
Ruth Wells ◽  
Kirrily Gould ◽  
Philip B. Ward ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Physical Health ◽  
Body Mass ◽  
Health Indicators ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Ptsd Symptomatology

Objective: The aim of this paper was to cross-sectionally examine the association between physical health indicators and PTSD symptomatology. Method: A cross-sectional study was conducted among inpatients of a service related trauma-focused ward. Physical and mental health indicators including sleep quality, fitness, physical activity, body mass index and PTSD symptomatology were assessed. Results: Among 60 inpatients, significant associations were found between sedentary time ( r = 0.42; p < .001) and sleep quality ( r = 0.40; p < .001) with PTSD symptomatology. The vast majority of inpatients ( n = 56; 93%) were found to be either overweight or obese according to body mass index. Conclusion: Inpatients of a PTSD treatment facility had extremely high rates of obesity, physical inactivity, poor cardiorespiratory fitness and poor sleep quality. Sedentary behaviour is a modifiable risk factor associated with symptoms and physical health.

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