scholarly journals Associations between Sleep Quality and Different Measures of Obesity in Saudi Adults

2016 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Hala Hazam AL-Otaibi

The prevalence's of overweight and obesity have grown to epidemic proportions in Saudi Arabia the past few years, epidemiological studies have suggested that sleeping for less than seven hours/day is associated with increased morbidity in terms of the development of obesity. The aim of this study was to examine the association between sleep quality and different measures of obesity (body mass index, waist circumference and body fat percentage) and some lifestyle habits among female university students. A cross-sectional study targeted a convenience sample of 233 undergraduate female students at King Faisal University (KFU) in AL-Hasa, Saudi Arabia. The results indicated that poor sleep quality was common in students (54%) with mean total sleeping hours of five hours/day. Poor sleep quality was associated with overweight/obese (OR 4.210, P=0.000), at risk waist circumference (OR 2.005, P=0.009), moderate/high body fat percentage (OR 1.058, P=0.025), low physical active (OR 2.045, P=0.037), and skipping breakfast (OR 2.710, P=0.003). In conclusion, the present study highlights the prevalence of poor sleep quality among female university students in Saudi Arabia, and they support previously published studies indicating that poor sleep quality was associ­ated with different measures of obesity and some of lifestyle habits. Sleep quality is an untraditional approach that might be used to prevent or treat overweight and obesity.

2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Guangyu Wang ◽  
Mei Zhen Zhang

Objective The majority studies focused on obesity prevention on physical activity and eating behavior. However, epidemiological studies have shown that sleep duration and sleep quality could be an adjustable risk factor for obesity. The aim of this study was to examine the associations of sleep quality with different measurement of obesity in Chinese university students. Methods A total of 481 college students aged 18-25 years volunteered to participate in this study. Sleep quality was assessed by Pittsburgh Sleep Quality Index (PSQI)questionnaire. International Physical Activity Questionnaire (IPAQ)was used to determine the physical activity, Psychological status was assessed by Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS). Body height, weight and waist circumference are measured by a trained researcher. Body composition was evaluated by a bio-impedance device (InBody 230, South Korea). Independent sample t test was applied to compare the sleep characteristics, physical activity, obesity, depression and anxiety in different gender students. The associations among the dependent variables BMI, body fat percentage, and the independent variables age, sleep quality and sleep durations was examined using Multiple linear regression models. SPSS 22.0 (IMB SPSS Inc) was used for all statistical. Results The BMI (22.9±3.4 vs 21.6±3.2, p<0.001) of male students were significantly higher than that of female, but the percentage of body fat (18.7±6.9 vs 29.7±7.0, p<0.001) was lower than that of female. We observed a positive association between sleep quality and body fat percentage (β = 0.166, P = 0.037), and a negative association with age (β = -0.166, P = 0.008) in female students. Sleep quality was associated positively with BMI (β = 0.360, P<0.001), body fat percentage (β = 0.260, P<0.001), and age (β = 0.215, P<0.001) in male students; An inverse correlation between sleep duration and BMI (β = -0.141, P = 0.015), body fat percentage (β = -0.134, P = 0.022) was found, and a positive relationship with  anxiety scores (β = 0.331, P<0.001) in male students. while an inverse relationship was found with WHR (β = -0.236, P = 0.001), waist circumference (β = -0.169, P = 0.007), and a positive association between sleep duration with anxiety scores (β = 0.331, P<0.001) and depression scores (β = 0.415, P<0.001) in female students. Conclusions The obesity of male and female students goes up with the increase of total score of sleep quality, anxiety and depression, and goes down with the increase of sleep duration, physical activity time and energy consumption. Male obesity increases with age, but female obesity decreases with age. Among the importance of males' sleep duration and sleep quality in the obesity risk assessment, BMI and body fat percentages are more accurate, while for females, BMI and waist circumference is of no statistical significance.  


2004 ◽  
Vol 92 (5) ◽  
pp. 827-832 ◽  
Author(s):  
Marta Arroyo ◽  
Ana M. Rocandio ◽  
Laura Ansotegui ◽  
Hector Herrera ◽  
Itziar Salces ◽  
...  

The objective of the present study was to compare different methods for evaluating body fat percentage (BF%) (anthropometric methods and bioelectrical impedance analysis) in university students. Subjects were 653 healthy students whose mean age, body height, body weight and BMI were 21·1 (SD 2·5) years, 166·0 (SD 8·4) cm, 62·8 (SD 11·0) kg and 22·7 (SD 3·1) kg/m2, respectively. Results showed that BMI is a poor predictor of body fatness since the sensitivity was low in comparison with the reference method (Siri equation). The lowest values of BF% were obtained using the reference method (Siri equation) (21·8 (SD 6·8)%). The two methods with the highest agreement were Siri and Lean (mean difference, −0·5), followed by Brozek (mean difference, −1·4) and Deurenberg (mean difference, −1·5). The largest mean difference for BF% was between Siri and impedance (−4·5). Although the methods and/or equations used in the present study have been commonly utilised to estimate BF% in young adults, the results must be interpreted with caution in the diagnosis and monitoring of overweight and obesity.


2021 ◽  
Vol 70 (3) ◽  
pp. 155-163
Author(s):  
Mariana Orta-Duarte ◽  
Rosa del Carmen Vázquez-Zapien ◽  
Hugo Ventura-Cisneros ◽  
Mario del Toro-Equihua ◽  
Benjamin Trujillo-Hernández ◽  
...  

To determine the association between serum ferritin levels, lipid profile and adiposity in school-age children. Methods: A cross-sectional study was conducted on obese and non-obese children. Weight, height, waist circumference and blood pressure were measured for all participants. Lipid profile, serum ferritin and glucose were determined and analysed through absorbance. The Spearman correlation was performed for the quantitative variables and a regression analysis was used to determine the interaction between variables. Eighty-nine children were included, with a median age of 9.0 years. Results: When comparing serum ferritin levels in normal weight group, vs. the overweight and obesity group, values were significantly higher in the latter. Serum ferritin correlated positively with BMI (Rho .282, p <0.01), waist circumference (Rho .372, p < 0.01), diastolic blood pressure (Rho .244, p < 0.05), body fat percentage (Rho .375, p < 0.001), insulin (Rho .254, p <.05) and sex (Rho .224, p <.05); and negatively with high-density lipoprotein cholesterol (Rho. -221, p< 0.05). When analysing the significant variables in a multivariate regression model, sex, body mass index, waist circumference, and body fat percentage remained statistically significant (p <0.01). Conclusion: We observed associations between serum ferritin and obesity in Mexican school aged children. Determinar la asociación entre los niveles de ferritina sérica, el perfil de lípidos y la adiposidad en niños en edad escolar. Metodología: Se realizó un estudio transversal en niños obesos y no obesos. Se midieron el peso, la altura, la circunferencia de cintura y la presión arterial en todos los participantes. El perfil lipídico, la ferritina sérica y la glucosa se determinaron y analizaron mediante absorbancia. Se realizó correlación de Spearman para las variables cuantitativas y se utilizó un análisis de regresión para determinar la interacción entre las variables. Se incluyeron ochenta y nueve niños, con una edad media de 9,0 años. Resultados: Al comparar los niveles de ferritina sérica en el grupo de peso normal, frente al grupo de sobrepeso y obesidad, los valores fueron significativamente más altos en este último. La ferritina sérica se correlacionó positivamente con el IMC (Rho 0,282, p <0,01), la circunferencia de cintura (Rho 0,372, p <0,01), la presión arterial diastólica (Rho 0,244, p <0,05), el porcentaje de grasa corporal (Rho 0,375, p < 0,001), insulina (Rho 0,254, p <0,05) y sexo (Rho 0,224, p < 0,05); y negativamente con colesterol de lipoproteínas de alta densidad (Rho -0,221, p <0,05). Al analizar las variables significativas en un modelo de regresión multivariante, el sexo, el índice de masa corporal, la circunferencia de cintura y el porcentaje de grasa corporal se mantuvieron estadísticamente significativos (p <0,01). Conclusión: Observamos asociaciones entre la ferritina sérica y la obesidad en niños mexicanos en edad escolar.


2021 ◽  
Vol 7 (4) ◽  

Objectives: The aim is to determine an association between obesity levels, quality of sleep, and anxiety among the Saudi population. Methods: A cross-sectional study was used by distributing an online questionnaire via social media channels to the Saudi population. We used the body mass index (BMI) to assess body fat, the Pittsburg Sleep Quality Index (PSQI), and Generalized Anxiety Disorder – 7 (GAD-7). Chi-square tests and logistic regression were used to test associations with a p-value of less than 0.05. Results: We received a total of 1123 respondents and the majority (61%) were obese and overweight. According to the GAD-7 score, 17% had severe anxiety; the PSQI score was 8.42 +3.45, indicating overall poor sleep quality. Underweight respondents had higher moderate (25%) and severe (26%) anxiety as compared to those with normal or higher BMI (14%-18%) (p=0.002). PSQI scores were higher for obese (8.9+3.6) and overweight (8.6+3.4) respondents as compared to underweight (7.5+3.0) (p=0.001). Persons with severe (10.4+3.6) or moderate (9.7+3.7) anxiety had higher PSQI scores as compared to those with minimal anxiety (6.8+2.7) (p<0.001). Conclusion: There is a relationship between obesity, sleep, and anxiety. Overweight and obesity were significantly associated with anxiety and poor sleep quality in Saudi Arabia.


Scientifica ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Roberto E. Nuñez-Leyva ◽  
Tabita E. Lozano-López ◽  
Yaquelin E. Calizaya-Milla ◽  
Sergio E. Calizaya-Milla ◽  
Jacksaint Saintila

Background. Obesity is one of the most important public health problems for university students. The objective of the study was to evaluate the association between body mass index (BMI) and body fat percentage (%BF) with waist circumference (WC) as a cardiometabolic risk factor (CMR) among university students. Methods. A cross-sectional study was carried out in 2,048 students from a private university located in Lima, Peru. Anthropometric data (weight, height, %BF, and WC) were collected. Chi-square test was used. Association analysis was performed using multiple logistic regression. Results. The findings indicated that 36.9% and 61.1% of men were overweight and had higher %BF, respectively, compared to women. Women (OR, 0.22; 95% CI, 0.17, 0.29), Peruvian students (OR, 0.59; 95% CI, 0.39, 0.90), and students enrolled in the faculty of health sciences (OR = 0.76; 95% CI, 0.62, 0.94) are less likely to manifest CMR. Also, excess body weight (OR, 17.28; 95% CI, 13.21, 22.59) and a high %BF (OR, 4.55; 95% CI, 3.55, 5.84) were strongly associated with CMR. Conclusion. CMRs are a public health problem among university students. Therefore, it is important to carry out healthy lifestyle programs to promote better control and prevention, particularly among male students and those who have excess weight and body fat.


2021 ◽  
Vol 104 (1) ◽  
pp. 003685042199853
Author(s):  
Waleed Albaker ◽  
Said El-Ashker ◽  
Mohamed A. Baraka ◽  
Nagla El-Tanahi ◽  
Mohammad Ahsan ◽  
...  

Overweight and obesity have become a significant health hazard among adolescents on account of quick growth in its occurrence rate and its common comorbidities like cardiometabolic disease (CMD). The aim of this study was to evaluate the prevalence of adiposity and assess the risk of CMD among university students in Eastern Province, Saudi Arabia. A cross-sectional study was conducted during the academic year 2017–2018, in a sample of 310 subjects (127 males; 183 females). The measurements were taken using standardized instruments including Body Mass Index (BMI), Fat Mass Index (FMI), Body Fat Percentage BFP), Mass of Body Fat (MBF), Visceral Fat Area (VFA), Waist Circumference (WC), and Waist to Hip Ratio (WHR). Moreover, CMD risk indicators were calculated by Conicity index (C index), WC, and WHR. The findings showed that the majority was overweight and obese (16.8% and 21.6%, respectively). While evaluating obesity indicators, males were found to have higher adiposity (obese students 34.6%) compared to female students (12.6%; p < 0.001). Additionally, FMI showed that the mean was significantly higher among males (8.65 ± 6.06) compared to females (7.26 ± 3.30; p < 0.019). Analysis of the predictors’ indices for cardiometabolic risk score highlighted a significantly higher percentage of WC, WHR, and C index among male students (50, 38.5, 59) compared to females (16.9, 14.2, 34; p < 0.001). Significant positive correlations were observed between C index quartiles and BMI with the other cardiometabolic indices ( p < 0.001). This study highlighted a high prevalence of adiposity and CMD risk among university students. The prediction of CMD in early age is quite helpful in preventing adiposity related health issues. Decision makers need to spread awareness about healthy consumption as well as the relationship between physical inactivity and chronic diseases.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ruth B. Quiliche Castañeda ◽  
Josué Turpo-Chaparro ◽  
Jesús Hanco Torres ◽  
Jacksaint Saintila ◽  
Percy G. Ruiz Mamani

The university represents a critical space for students in terms of prevalence of malnutrition. The objective of this study was to determine the body mass index (BMI), body fat percentage (% BF), waist circumference (WC), and anemia in university students. A cross-sectional study was carried out in 2,285 university students from Lima, Peru. The sample was selected by nonprobability convenience sampling. Anthropometric data and hemoglobin levels were measured. The Chi-square test was used. The analysis of the associated factors was done using binary logistic regression. A significance level of 5% was considered. There were no significant differences between men and women in BMI ( p > 0.05 ). The men presented significantly high and very high levels of % BF ( p < 0.001 ). The proportion of women who presented anemia and high and very high WC was significantly higher compared to men ( p < 0.001 ). Being older than 27 years (ORB = 2.07; 95% CI = 1.19–3.6), being male (ORB = 2.68; 95% CI = 2.02–3.55), studying at the engineering faculty (ORB = 1.39; 95% CI = 1.09–1.79), having excess body fat (ORB = 8.17; 95% CI = 6.13–10.87), and having an elevated WC (ORB = 35.51; 95% CI = 25.06–50.33) significantly predicted overweight/obesity. The findings of this study suggest that college students, especially males and those who are not enrolled in health sciences colleges, should be a priority in healthy lifestyle interventions, particularly nutritional education programs, to reduce the prevalence of overweight and obesity.


BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.


Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  

2017 ◽  
Vol 14 (5) ◽  
pp. 389-407 ◽  
Author(s):  
Leon Mabire ◽  
Ramakrishnan Mani ◽  
Lizhou Liu ◽  
Hilda Mulligan ◽  
David Baxter

Background:Brisk walking is the most popular activity for obesity management for adults. We aimed to identify whether participant age, sex and body mass index (BMI) influenced the effectiveness of brisk walking.Methods:A search of 9 databases was conducted for randomized controlled trials (RCTs). Two investigators selected RCTs reporting on change in body weight, BMI, waist circumference, fat mass, fat-free mass, and body fat percentage following a brisk walking intervention in obese adults.Results:Of the 5072 studies screened, 22 met the eligibility criteria. The pooled mean differences were: weight loss, –2.13 kg; BMI, –0.96 kg/m2; waist circumference, –2.83 cm; fat mass, –2.59 kg; fat-free mass, 0.29 kg; and body fat percentage, –1.38%. Meta-regression of baseline BMI showed no effect on changes.Conclusions:Brisk walking can create a clinically significant reduction in body weight, BMI, waist circumference, and fat mass for obese men and women aged under 50 years. Obese women aged over 50 years can achieve modest losses, but gains in fat-free mass reduce overall change in body weight. Further research is required for men aged over 50 years and on the influence of BMI for all ages and sexes.


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