Stochastic Variability in Stress, Sleep Duration, and Sleep Quality Across the Distribution of Body Mass Index: Insights from Quantile Regression

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.

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Fighting the Freshman Fifteen: Sleep, Exercise, and BMI in College Students

American Journal of Health Promotion ◽

10.1177/0890117120969065 ◽

2020 ◽

pp. 089011712096906

Author(s):

June J. Pilcher ◽

Dylan N. Erikson ◽

Carolyn A. Yochum

Keyword(s):

Physical Activity ◽

College Students ◽

Body Mass Index ◽

Sleep Quality ◽

Quality Factor ◽

Sleep Duration ◽

Body Mass ◽

Factor Score ◽

Sleep Efficiency ◽

Healthy Weight

Purpose: To examine how sleep and physical activity predict body mass index (BMI) in college students. Design: Cross-sectional. Setting: Medium-sized public university in the Southeastern United States. Subjects: 386 undergraduate students (245 females; 18-25 years). Measures: Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). Analysis: Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. Results: Sleep Duration significantly predicted BMI ( β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI ScoreXCPAQ ( β = -.103, p = .015) and Sleep Quality Factor ScoreXCPAQ ( β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. Conclusion: At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.

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

INDIAN JOURNAL OF MENTAL HEALTH AND NEUROSCIENCES ◽

10.32746/ijmhns.2020.v3.i1.18 ◽

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.

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A quantile regression approach to re-investigate the relationship between sleep duration and body mass index in Taiwan

International Journal of Public Health ◽

10.1007/s00038-011-0239-7 ◽

2011 ◽

Vol 57 (3) ◽

pp. 485-493 ◽

Cited By ~ 10

Author(s):

Chiang-Ming Chen ◽

Chen-Kang Chang ◽

Chia-Yu Yeh

Keyword(s):

Body Mass Index ◽

Quantile Regression ◽

Sleep Duration ◽

Body Mass ◽

Regression Approach ◽

The Relationship

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Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

Journal of Pediatric Endocrinology and Metabolism ◽

10.1515/jpem-2020-0399 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Ana P. Sehn ◽

Anelise R. Gaya ◽

Caroline Brand ◽

Arieli F. Dias ◽

Roya Kelishadi ◽

...

Keyword(s):

Body Mass Index ◽

Risk Factor ◽

Sleep Duration ◽

Body Mass ◽

Cardiometabolic Risk ◽

High Systolic Blood Pressure ◽

Television Time ◽

The Relationship ◽

Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

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

Healthcare ◽

10.3390/healthcare9050607 ◽

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.

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Examination of Sleep and Obesity in Children and Adolescents in the United States

American Journal of Health Promotion ◽

10.1177/08901171211029189 ◽

2021 ◽

pp. 089011712110291

Author(s):

Puneet Kaur Chehal ◽

Livvy Shafer ◽

Solveig Argeseanu Cunningham

Keyword(s):

Body Mass Index ◽

Children And Adolescents ◽

Sleep Duration ◽

Body Mass ◽

The United States ◽

Weight Category ◽

Lower Odds ◽

Logistic Regression Models ◽

Child Height ◽

Nationally Representative

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

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