scholarly journals Anthropometric characteristics of females in different age groups in Latvia from childhood to adulthood

2020 ◽  
Vol 28 (2) ◽  
Author(s):  
Liana Pļaviņa ◽  
Helena Kārkliņa ◽  
Silvija Umbraško ◽  
Jekaterina Stankeviča ◽  
David Kachlik

The purpose of the present study was to evaluate changes in main anthropometric parameters such as height, body mass, and body circumferences (chest, upper arm) in different age groups from childhood to adulthood in healthy females in Latvia and to determine the active growing age periods and the impact of tobacco use on anthropometric parameters. We provided a health well-being questionnaire concerning lifestyle and tobacco use. In the present study, we assessed the body mass index (BMI) values to identify body mass index-defined overweight and obesity. The levels of the body mass index exceeded the standard data only in a small number of the examined persons. Body composition data and the body mass index are used as an index of obesity as a standard practice by many clinicians according the recommendations of health authorities as a basis for health behaviour and physical activities to preserve physical and mental health. A significant correlation has been previously reported between anthropometric characteristics, physical activity and health capacity. The study data were collected with the participants’ informed consent. Statistical analysis was performed using a statistics program. The body mass index is the respondents’ major characteristic which describes the physical condition and nutrition level in any age group. Tobacco use by the mother during the pregnancy period has an influence on the child’s body mass and body mass index values that were fixed for girls in the 1st and 2nd childhood periods. Intensive increase in anthropometric parameters was observed during the transition from the adolescence to the youth period.

Author(s):  
Zeynep Gamze Kalkanlı ◽  

Studies conducted by the World Health Organization (WHO) and Economic Development and Cooperation Organization (OECD) has shown that the prevalence of obesity is increasing worldwide and has become a serious health problem. The Body Mass Index (BMI), which is a commonly used height-weight index to classify overweight and obesity, is calculated by dividing body weight by the square of height (kg/m²). Psychological factors and sociodemographic characteristics are supposed to affect BMI under current living conditions. The aim of the study was to investigate the relationship between BMI, used in the classification of obesity, sociodemographic characteristics, and various psychological factors in adult. A total of 5,902 individuals (aged 39 and over) completed Sociodemographic Information Form, Body Mass Index Evaluation Form, and Experiences in Close Relationships Scale-Revised, Brief Symptom Inventory, Toronto Alexithymia Scale, Positive and Negative Affect Scale, Personal Well-Being Index-Adult Form. Utilizing hierarchical regression analysis, obesity and overweight were associated with educational status, number of cigarettes, number of children, negative self in both genders. Obesity and overweight were also associated withpsychiatric distress, alexithymia, and avoidant attachment scores in men. Obesity and overweight were associatedalso with alcohol use, somatization, and positive affect score in women. The results of the study reveal the importance of understanding the factors affecting obesity and addresses the problems in a multidimensional way. However, more studies are needed to better understand the factors associated with obesity in Turkey.


2013 ◽  
Vol 32 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Emina Čolak ◽  
Dragana Pap ◽  
Nada Majkić-Singh ◽  
Ivana Obradović

Summary Background: It has been reported that obesity is associated with metabolic syndrome, insulin resistance, cardiovascular risk but also with nonalcoholic fatty liver disease (NAFLD). The prevalence of obesity in children and adolescents is increasing rapidly all over the world. The aim of this study was to analyze the value of liver enzymes: AST, ALT and γGT in a group of obese students in order to establish their correlation to anthropometric parameters such as: BMI (body mass index), WC (waist circumference), HC (hip circumference), and WHR (waist-to-hip ratio) compared to non-obese students who comprised the control group (CG). Methods: In this study, 238 students from the University of Novi Sad of both sexes (126 men and 112 women) with a mean age of 22.32 ± 1.85 years were included. According to the body mass index (BMI) lower and higher than 25 kg/m2 and waist circumference (WC) lower and higher than 94 cm (80 cm for females) the whole group of 238 students was divided into 2 subgroups: the obese group at increased risk for CVD (Group 1) and the group at lower risk for CVD (Group 2). AST, ALT and γGT activities were determined in fasting blood samples. Results: Statistical processing data revealed significantly higher values of AST, ALT and γGT in the group of students with BMI>25 kg/m2, WC>94 cm for males and WC>80 cm for females, HC>108 cm for males and HC>111 cm for females, and WHR>0.90 for males and WHR>0.80 for females (P<0.001). Significant association was established between anthropometric parameters and liver enzyme levels (P<0.0001). Conclusions: Obese students with higher BMI, WC, HC and WHR values have higher liver enzyme activites and a higher chance to develop NAFLD in the future.


2021 ◽  
pp. 014556132098051
Author(s):  
Matula Tareerath ◽  
Peerachatra Mangmeesri

Objectives: To retrospectively investigate the reliability of the age-based formula, year/4 + 3.5 mm in predicting size and year/2 + 12 cm in predicting insertion depth of preformed endotracheal tubes in children and correlate these data with the body mass index. Patients and Methods: Patients were classified into 4 groups according to their nutritional status: thinness, normal weight, overweight, and obesity; we then retrospectively compared the actual size of endotracheal tube and insertion depth to the predicting age-based formula and to the respective bend-to-tip distance of the used preformed tubes. Results: Altogether, 300 patients were included. The actual endotracheal tube size corresponded with the Motoyama formula (64.7%, 90% CI: 60.0-69.1), except for thin patients, where the calculated size was too large (0.5 mm). The insertion depth could be predicted within the range of the bend-to-tip distance and age-based formula in 85.0% (90% CI: 81.3-88.0) of patients. Conclusion: Prediction of the size of cuffed preformed endotracheal tubes using the formula of Motoyama was accurate in most patients, except in thin patients (body mass index < −2 SD). The insertion depth of the tubes was mostly in the range of the age-based-formula to the bend-to-tip distance.


2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.


2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.


2021 ◽  
Vol 8 (32) ◽  
pp. 3039-3042
Author(s):  
Lekshmi Raj Jalaja ◽  
Stuti Lohia ◽  
Priyadarsini Bentur ◽  
Ravi Ramgiri

‘Obesity’ is defined as a condition with excess body fat to the extent that health and well-being are adversely affected and uses a class system based on the body mass index (BMI), by the world health organization (WHO). Anaesthetic management of morbidly obese is challenging, as there is an increased risk of perioperative respiratory insufficiency and supplemental oxygen must be given throughout recovery period. The incidence of morbid obesity continues to grow and anaesthesiologists are exposed to obese patients presenting for various procedures. The prevalence of obesity is on the upward trend worldwide. Obesity is a multisystem disorder, involving the respiratory and cardiovascular systems, and therefore, undergoing a surgical procedure under anaesthesia may entail a considerable risk. Thus, a multidisciplinary approach is required in treating such patients. Quantification of the extent of obesity is done using the body mass index. BMI is defined as the relationship between weight and height (weight [kg] / height2 [m2 ]).


Author(s):  
Tapaswini Mishra ◽  
Dipti Mohapatra ◽  
Manasi Behera ◽  
Srimannarayan Mishra

ABSTRACTObjective: Adequate sleep has been considered important for the adolescent’s health and well-being. On the other hand, self-imposed sleepcurtailment is now recognized as a potentially important and novel risk factor for obesity. The objective of the study is to find the association betweenshort sleep duration and obesity (by calculating the body mass index [BMI]) among medical students.Methods: The study was conducted on 100 medical students. A brief history of sleep duration was taken. The height and weight were taken and thebody mass index (BMI) was calculated by formula weight in kg / height in m. Based on the BMI criteria the students were classified into six groups:Underweight, normal, overweight, obese class I, obese class II and obese III. The waist circumference (WC) was also taken. The data obtained werestatistically analysed by ANOVA test and the p < 0.5 was considered significant.2Results: The present cross-sectional study showed that there is an association between short sleep duration and obesity which was highly significant(p<0.001). This study also shows that there is an association between short sleep duration and waist circumference which was also highly significant(p<0.001).Conclusion: The present study observed a high association of short sleep duration among medical students of IMS and SUM Hospital and that shortsleep duration was significantly associated with increased risk of overweight and obesity. We should further investigate whether adults adopting ahealthy lifestyle with short sleep duration would improve their sleeping habits or not.Keywords: Sleep duration, Body mass index, Waist circumference, Obesity.


2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Sameer Al-Ghamdi ◽  
Mamdouh M. Shubair ◽  
Abdulrahman Aldiab ◽  
Jamaan M. Al-Zahrani ◽  
Khaled K. Aldossari ◽  
...  

2020 ◽  
Vol 16 (1) ◽  
pp. 50
Author(s):  
Anung Putri Ilahika ◽  
Wiby Fahmi Wijaya

Growth and development is a continuous process in the process of reaching adulthood, including the teenage stage. The problem that is often faced is physical change. Adolescent physical changes that appear are the increase in height and weight which affects the Body Mass Index (BMI). Height is one of the important things in adolescent growth and development. which is affected by genetic and environmental factors. The peak of growth in adolescents is different between boys and girls, so the pattern of height and BMI are also different. The purpose of this study was to determine differences in adolescent height based on age groups and BMI in Medical Faculty of UMM. This research is a comparative study by taking a sample of 100 medical students of UMM who have an age range of 17-20 years. The data to be taken is height measured using a MIC scale health scale ratio ratio. The measurement results have a numerical scale with units of centimeters (cm). Body mass index (BMI) is an index obtained from the division of body weight with height2. The measurement results are stated in kg / m2. All data obtained will be analyzed using the ANOVA comparative test. ANOVA test results generated p value in the two groups of students> 0.05 which concluded that the mean height of the student body based on age and BMI was not significantly different (not significant) statistically for both men and women. The conclusion from this study there were no differences in adolescent height based on age groups and BMI among medical students of UMM.


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