scholarly journals The Associations between Screen Time and Sleep Duration, and Body Mass Index (BMI) in under Five-Year-Old Children

2018 ◽  
Author(s):  
Hossein Sourtiji ◽  
Mehdi Rassafiani ◽  
Seyed Ali Hosseini ◽  
Mohammad Esmaeil Motlagh ◽  
Mehdi Noroozi
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Screen Time ◽  
Linear Regression Analysis ◽  
Cluster Sampling ◽  
Healthy Children ◽  
Cross Sectional ◽  
Under Five ◽  
Screen Viewing

Today, due to recent developments in technology, children devote plenty of time for screen viewing. However, its harmful effects are not yet clear. The purpose of present study was to examine the associations among screen viewing and sleep duration, and body mass index (BMI) in under-five years old children. This cross-sectional study was conducted with 322 under-five healthy children that were selected using multistage stratified cluster sampling method in 2017. The data that were gathered by time-use diary method were analyzed using Kolmogorov-Smirnov test, Spearman correlation tests, multiple linear regression analysis, one-way ANCOVA, two-way ANCOVA. There was a negative correlation between screen time and sleep duration (rs = -0.42, p = 0.00), positive correlation between screen time and BMI (rs = 0.38, p = 0.00) and sleep duration negatively correlated with BMI (rs = -0.22, p = 0.00). screen viewing was a predictive factor for both sleep duration (β = -0.26, p = 0.00) and BMI (β = -0.26, p = 0.00). screen viewing had a significant impact on sleep duration (4, 314) = 5.02, P = 0.001) and BMI (F (4, 314) = 1.16, P=0.298). Results of this study indicated that screen viewing is related to sleep duration and BMI in under-five children. furthermore, screen time has an impact on sleep duration and BMI scores of children. findings of our study suggest that sleep duration negatively is associated with BMI in under-five-year-old children.

scholarly journals The Associations Between Screen Time, Sleep Duration, and Body Mass Index (BMI) in Under Five-Year-Old Children

2018 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Hossein Sourtiji ◽  
Seyed Ali Hosseini ◽  
Mehdi Rassafiani ◽  
Amir Kohan ◽  
Mehdi Noroozi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Screen Time ◽  
Under Five

scholarly journals Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Weight Status ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.

Physical activity and obesity in children with congenital cardiac disease

2011 ◽  
Vol 21 (6) ◽  
pp. 603-607 ◽  
Author(s):  
Trenda D. Ray ◽  
Angela Green ◽  
Karen Henry
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiac Disease ◽  
Self Report ◽  
Healthy Children ◽  
Cross Sectional ◽  
Congenital Cardiac Disease ◽  
Significant Difference ◽  
Obesity In Children

AbstractBackgroundChildren with congenital cardiac disease experience challenges in developing healthy patterns of physical activity due to decreased exercise capacity and parental fear and confusion about what is permissible. The purpose of this study was to describe physical activity habits in children 10–14 years of age with congenital cardiac disease and the relationship of those habits to obesity as defined by body mass index.MethodsThis cross-sectional study used self-report measures and clinical data to describe the association between physical activity participation and body mass index in 10- to 14-year-old children with congenital cardiac disease. Further, physical activity levels were compared between children who were overweight or obese and those who were not.ResultsChildren (n = 84; 51 males; 33 females) reported low rates of physical activity compared to reports on healthy children. Only 9.5% were overweight (body mass index between the 85th and 94th percentile), and alarmingly 26% were obese (body mass index at or above the 95th percentile). Physical activity and body mass index were not significantly correlated (r = −0.11, p = 0.45) and there was no significant difference in mean physical activity (t = 0.67) between children who were overweight or obese and those who were not.ConclusionsChildren in this study reported low rates of physical activity and a higher obesity rate than was reported in previous studies. However, the two were not significantly correlated. Further research is indicated to determine the specific factors contributing to obesity and to test interventions to combat obesity in children with congenital cardiac disease.

Excessive Screen Time and Psychosocial Well-Being: The Mediating Role of Body Mass Index, Sleep Duration, and Parent-Child Interaction

2018 ◽  
Vol 202 ◽  
pp. 157-162.e1 ◽  
Author(s):  
Jin Zhao ◽  
Yunting Zhang ◽  
Fan Jiang ◽  
Patrick Ip ◽  
Frederick Ka Wing Ho ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Screen Time ◽  
Well Being ◽  
Mediating Role ◽  
Child Interaction ◽  
Parent Child Interaction ◽  
Parent Child

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 GAMBARAN DURASI TIDUR PADA REMAJA DENGAN KELEBIHAN BERAT BADAN

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Mey Relda Angels
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Industrialized Countries ◽  
Sleep Patterns ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Health Crisis ◽  
Short Sleep

Abstract: Obesity is defined as an abnormal accumulation of body fat in proportion to body size. Obesity is a public health crisis that is very substantial. The prevalence of obesity is increasing rapidly in many industrialized countries around the world and become a pandemic that needs immediate attention. Cause of obesity is more complex than the simple paradigm of energy imbalance, but various mechanisms contribute to obesity, including short sleep duration. The purpose of this study was to describe sleep duration and overweight adolescents and to determine the relationship of sleep duration and overweight. This research is an analytic survey with cross sectional study. Study was conducted in junior and senior high school Pax Christi and Rex Mundi Manado, obtained 32 samples of survey respondents with a body mass index above 23.0. Characteristics of the respondents, namely: Age between 14-16 years ever with 15 people (46.9%); Body mass index between 23 to 29.9 were 19 respondents (59.3%); Age at the start of fat, between the ages of 11-15 years as many as 20 people (62.5%); Data diet, greasy 15 respondents (46.9%); Data bedtime, sleep 5-7 hours a night, 21 respondents (65.6%), length of time between the 30 minute nap - 1 hour and between 1 – 2 hours have 13 respondents (40.6%) each. Based on the results of the study, short sleep pattern at night is associated with obesity among (teenage students) of the respondents. Increase and decrease grehlin / leptin, plays a role in relation to the increase in sleep patterns diets ultimately cause obesity. Keywords: Obesity, short sleep patterns, grehlin, leptin, increased appetite.Abstrak: Obesitas didefinisikan sebagai akumulasi abnormal dari lemak tubuh dibandingkan dengan ukuran tubuh normal. Obesitas merupakan krisis kesehatan masyarakat yang sangat substansial. Prevalensi obesitas meningkat dengan cepat di sejumlah negara industri di seluruh dunia dan menjadi pandemik yang memerlukan perhatian segera. Penyebab obesitas lebih kompleks daripada paradigma sederhana ketidakseimbangan energi, namun berbagai mekanisme turut berperan didalamnya, termasuk durasi tidur yang singkat. Tujuan penelitian ini adalah untuk mengetahui gambaran durasi tidur pada remaja dengan kelebihan berat badan dan untuk mengetahui hubungan durasi tidur pada remaja dengan kelebihan berat badan. Penelitian ini bersifat survey analitik dengan study cross sectional. Penelitian dilakukan di SMP Pax Christi dan SMA Rex Mundi Manado, diperoleh 32 sampel responden penelitian dengan indeks massa tubuh diatas 23,0. Karakteristik responden yaitu: Umur terbanyak antara 14-16 tahun yaitu 15 orang (46,9 %); Indeks massa tubuh antara 23-29,9 sebanyak 19 responden (59,3 %); Umur saat mulai gemuk, antara umur 11-15 tahun yaitu sebanyak 20 orang (62,5 %); Data pola makan, makanan berminyak 15 responden (46,9 %); Data waktu tidur, tidur malam 5-7 jam, 21 responden (65,6 %); Lama waktu tidur siang antara 30 menit-1 jam dan antara 1-2 jam yaitu masing-masing 13 responden (40,6 %). Berdasarkan hasil penelitian kesimpulannya, pola tidur yang singkat pada malam hari berhubungan dengan peningkatan berat badan dari responden.Peningkatan grehlin dan penurunan leptin, memegang peranan dalam hubungan pola tidur dengan peningkatan pola makan yang pada akhirnya menyebabkan kegemukan.Kata kunci: Obesitas, pola tidur singkat, grehlin, leptin, peningkatan nafsu makan.

Plant-Based Diets in Hispanic/Latino Adult Adventists in the United States and Their Association With Body Mass Index

2019 ◽  
Vol 33 (6) ◽  
pp. 869-875 ◽  
Author(s):  
Karen Jaceldo-Siegl ◽  
Dennys Estevez ◽  
Gary E Fraser ◽  
David E Hayes-Bautista ◽  
Hector Flores ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sex Education ◽  
Linear Regression Analysis ◽  
Health Impact ◽  
The United States ◽  
Health Study ◽  
Dietary Practices ◽  
Cross Sectional ◽  
Hispanic Latinos

Purpose: To characterize plant-based dietary practices and examine their relationship with body mass index (BMI) in Hispanic/Latino Seventh-day Adventists (SDA). Design: Cross-sectional analyses of data among Hispanics/Latinos in the Adventist Health Study-2 (AHS-2). Setting: The AHS-2 is a cohort of SDA adults (n = 96 592) in North America. Participants: A total of 3475 Hispanics/Latinos who provided demographic, dietary, anthropometric, and lifestyle data at enrollment. Measures: Plant-based dietary practices were determined from food frequency questionnaire; BMI, demographic, and lifestyle data were assessed by questionnaire. Analysis: In linear regression analysis, plant-based diets were modeled as dummy variables with nonvegetarian as the referent group and log(BMI) as the outcome adjusted for age, sex, education, exercise, nativity, alcohol use, smoking, and energy intake. Results: We identified 202 vegans, 664 vegetarians, 409 pesco-vegetarians, 227 semi-vegetarians, and 1973 nonvegetarians. Compared to the nonvegetarian referent (BMI = 27.50), estimated BMI were lower among vegans (23.58, P < .0001), vegetarians (25.24, P < .0001), pesco-vegetarians (26.36, P = .0002), and semi-vegetarians (26.69, P = .130). Other factors associated with lower BMI were being female ( P = .001), nativity (Mexico, P = .002; South America, P < .0001; Caribbean, P = .004), having a college degree or higher ( P = .01), exercise ( P < .0001), and never smoked ( P = .0006). Conclusion: Hispanic/Latino SDAs who consumed plant-based diets had lower BMI than nonvegetarians. The application of a plant-based diet as practiced by the Hispanic/Latino Adventists in this population may have public health impact on US Hispanic/Latinos.

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.

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