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

2011 ◽  
Vol 57 (3) ◽  
pp. 485-493 ◽  
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

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

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.

scholarly journals HUBUNGAN ASUPAN ZAT GIZI MIKRO, DURASI TIDUR, INDEKS MASSA TUBUH DAN STATUS IMUN PEGAWAI BALITBANG HUKUM DAN HAM

2021 ◽  
Vol 10 (4) ◽  
pp. 328-334
Author(s):  
Anggrita Salsabila Ramadhia ◽  
Harna Harna ◽  
Mertien Sa'pang ◽  
Nadiyah Nadiyah
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Immune Status ◽  
Negative Relationship ◽  
Sampling Technique ◽  
P Value ◽  
Cross Sectional ◽  
Micronutrient Intake ◽  
The Relationship

Background: Adequate micronutrients intake is essential to ensure the immune function. Certain populations may have insufficient intake of micronutrients, and in situations that increase the demand for example infections, stress, and pollution that decrease the body's stores of micronutrients, putting them at risk of deficiency and may impair immunity. Several researchs related to micronutrient intake, nutritional status, sleep duration are still contradictory results in showing the relationship with immunity.Objectives: To determine the relationship between micronutrient intake, sleep duration, body mass index and the immune status of Balitbang Hukum dan HAM employees.Methods: This type of research is an observational study with a cross sectional approach. The sampling technique used was simple random sampling technique. The samples taken were 47 people.Results: Median intake of micronutrient vitamin A 1024.5 mcg, vitamin C 208.3 mg, vitamin D 1.4 mcg, vitamin E 3.5 mg, iron 5.1 mg, zinc 4.2 mg. Meanwhile, the median sleep duration was 6 hours and the median body mass index was 22.2 kg / m2. The intake of micronutrients with immune status has a p value> 0.05. Sleep duration with immune status has a p value <0.05 with a negative relationship direction. Body mass index with immune status has a p value> 0.05.Conclusion: There is no relationship between micronutrient intake and body mass index with immune status, meanwhile there is a relationship between sleep duration and immune status of Balitbang Hukum dan HAM employees.Keywords : Micronutrient intake; Sleep duration; Body mass index; Immune status

scholarly journals The Relationship Among Morningness-Eveningness, Sleep Duration, Social Jetlag, and Body Mass Index in Asian Patients With Prediabetes

2018 ◽  
Vol 9 ◽  
Author(s):  
Thunyarat Anothaisintawee ◽  
Dumrongrat Lertrattananon ◽  
Sangsulee Thamakaison ◽  
Ammarin Thakkinstian ◽  
Sirimon Reutrakul
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Asian Patients ◽  
Social Jetlag ◽  
The Relationship

The relationship between school day sleep duration and body mass index in Norwegian children (aged 10–12)

2010 ◽  
Vol 5 (3) ◽  
pp. 214-220 ◽  
Author(s):  
Yngvild S. Danielsen ◽  
Ståle Pallesen ◽  
Kjell M. Stormark ◽  
Inger H. Nordhus ◽  
Bjørn Bjorvatn
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
School Day ◽  
The Relationship

scholarly journals Better Dietary Knowledge and Socioeconomic Status (SES), Better Body Mass Index? Evidence from China—An Unconditional Quantile Regression Approach

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1197 ◽  
Author(s):  
Jie Yu ◽  
Xiao Han ◽  
Hongxing Wen ◽  
Jinzheng Ren ◽  
Lihong Qi
Keyword(s):  
Body Mass Index ◽  
Socioeconomic Status ◽  
Quantile Regression ◽  
Body Mass ◽  
Inverse Association ◽  
Nutrition Survey ◽  
Dietary Knowledge ◽  
Unconditional Quantile Regression ◽  
Heterogeneous Nature ◽  
The Relationship

Obesity is a rapidly growing public health threat in China. Improvement of dietary knowledge may potentially reduce the risk of obesity and being overweight. However, existing studies focus on measuring the mean effects of nutrition knowledge on body mass index (BMI). There is a lack of literature on the effect of dietary knowledge on BMI, and the potential heterogeneity of the effect across the whole BMI distribution and across socioeconomic status (SES) groups. This study aims to investigate the heterogeneous nature of the relationship between dietary knowledge, SES, and BMI, using data from the China Health and Nutrition Survey (CHNS) in 2015. We employed unconditional quantile regression (UQR) to assess how the relationship between dietary knowledge, SES, and BMI varies across the whole BMI distribution, and conducted subgroup analyses using different socio-economic subsamples. Results indicate that dietary knowledge had no statistically significant impact on BMI across the BMI distribution. There was a large degree of heterogeneity in the SES effect across the BMI distribution as well as a major gender difference in the SES effect on BMI. Education had a significant and inverse association with BMI across the BMI distribution, greater at higher BMI quantiles. Income growth had a larger effect on the 50th quantile of BMI for males in the middle-income group, but was not significant for females. As income increased, males without college educations had higher BMI while females with college or higher education generally had lower BMI. The findings of this study reveal the heterogeneous nature of the relationship between SES, gender, and obesity across the entire BMI distribution, suggesting that quantile regressions might offer a valuable framework for exploring the complex relationship of dietary knowledge, demographic, and socio-economic factors on obesity.

scholarly journals The Association Between Body Mass Index (BMI) and Sleep Duration: Where Are We after nearly Two Decades of Epidemiological Research?

2019 ◽  
Vol 16 (22) ◽  
pp. 4327 ◽  
Author(s):  
Victoria Garfield
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Epidemiological Studies ◽  
Effect Sizes ◽  
Vast Number ◽  
The Past ◽  
Bidirectional Relationship ◽  
Near Future ◽  
The Relationship

Over the past twenty years we have seen a vast number of epidemiological studies emerge on the topic of obesity and sleep duration, with a focus on body mass index, as it is easy and cheap to measure and analyse. Such studies largely observe that cross-sectionally a higher BMI is associated with shorter sleep and that in longitudinal studies shorter sleep duration is associated with increases in BMI over time, but some research has found no relationship between the two. This narrative review is not exhaustive, but appraises the literature on sleep duration and BMI from perspectives that have previously been unexplored in a single paper. As such, I discuss research in these important areas: bidirectionality, objective vs. subjective sleep duration, how meaningful the effect sizes are and how we have begun to address causality in this area. From the evidence appraised in this review, it is clear that: (i) there is some modest evidence of a bidirectional relationship between BMI and sleep duration in both children and adults; (ii) objective measurements of sleep should be used where possible; (iii) it remains difficult to confirm whether the effect sizes are conclusively meaningful in a clinical setting, but at least in adults this so far seems unlikely; (iv) to date, there is no solid evidence that this relationship (in either direction) is in fact causal. In the near future, I would like to see triangulation of these findings and perhaps a move towards focusing on distinct aspects of the relationship between obesity and sleep that have not previously been addressed in detail, for various reasons.

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