scholarly journals The Associations between Sleep Duration and Sleep Quality with Body-Mass Index in a Large Sample of Young Adults

2018 ◽  
Vol 15 (4) ◽  
pp. 758 ◽  
Author(s):  
◽  
◽  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Body Mass ◽  
Large Sample

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.

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

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.

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 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 Relationships between College Students’ Sedentary Behavior, Sleep Quality, and Body Mass Index

2021 ◽  
Vol 18 (8) ◽  
pp. 3946
Author(s):  
Wenxi Liu ◽  
Qin Yuan ◽  
Nan Zeng ◽  
Daniel J. McDonough ◽  
Kun Tao ◽  
...  
Keyword(s):  
College Students ◽  
Body Mass Index ◽  
Young Adults ◽  
Sedentary Behavior ◽  
Nutrition Education ◽  
Sleep Duration ◽  
Body Mass ◽  
Sleep Efficiency ◽  
South Central ◽  
Activity Promotion

Purpose: Sedentary behavior (SB), sleep efficiency (SE), sleep duration (SD), and body mass index (BMI) are crucial determinants of an individual’s health. However, empirical evidence regarding associations between these factors in young adults living in China remains unknown. Therefore, the purpose of this study was to examine the relationships between accelerometer-measured SB, SE, SD, and BMI in Chinese college students. Methods: Two-hundred and twenty college students (115 females, Meanage = 20.29 years, SD = 2.37) were recruited from a south-central Chinese university. Participants’ SB (daily % time spent in SB), SE (number of minutes of sleep duration/number of minutes in bed), and SD were assessed via wrist-worn ActiGraph GT9X Link accelerometers for one week. Body weight was measured using a digital weight scale, height was measured using a stadiometer, and BMI was calculated as weight (kg)/height (m2). Results: Participants’ average time spent in SB was 76.52% (SD = 10.03), SE was 84.12% (SD = 4.79), and BMI was 20.67 kg/m2 (SD = 3.12), respectively. Regression analyses indicated that SB (β = −0.17, p = 0.01) and BMI (β = −0.20, p < 0.01) negatively predicted SE. In addition, BMI negatively predicted SD (β = −0.22, p < 0.01). Conclusion: Prolonged SB (e.g., screen viewing, smartphone use, and computer playing) and higher BMI may link to shorter sleep duration and lower sleep efficiency in Chinese young adults. Future randomized controlled trials are needed to further confirm these findings. Given that increased BMI status and SB may relate to adverse health outcomes, more population-based intervention strategies seeking to lower BMI and reduce SB (e.g., nutrition education and physical activity promotion) are needed in this population.

Body Mass Index and Memory Function in Young Adults

2014 ◽  
Author(s):  
Mitchell Metzger ◽  
Morgan Myers ◽  
Emily Embrescia ◽  
David F. Vanata
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Memory Function
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