Positive Association Between Body Mass Index and Hematologic Parameters, Including RBC, WBC and Platelet Count, in Korean Children and Adolescent

Author(s):  
Hwal Rim Jeong ◽  
Young Seok Shim

Abstract Objective: To investigate the associations between hematologic parameters and obesity in children and adolescents.Methods: A total of 7,997 subjects (4,259 boys, 3,738 girls) aged 10–18 years was enrolled and hematologic parameters, including WBC, RBC, Hb, Hct, and platelet levels, were recorded and compared against body mass index (BMI) classified into normal-weight, overweight, and obesity groups.Results : The obesity group had significantly higher mean levels of WBC (7.16 vs. 6.16 (x103/mm3), p<0.001), RBC (4.90 vs. 4.82 (x106/mm3), p<0.001), Hb (14.07 vs. 13.99 (g/dL), p<0.05), Hct (42.31 vs. 41.91 (%), p<0.001) and platelets (311.87 vs. 282.66 (x103/mm3), p<0.001) than the normal-weight group after adjusting for obesity and sex. BMI SDS was significantly positively associated with WBC (β=0.275, p<0.001), RBC (β=0.028, p<0.001), Hb (β=0.034, p<0.001), Hct (β=0.152, p<0.001), and platelets (β=8.372, p<0.001) after adjusting for age, sex, and possible socioeconomic confounders in a multiple linear regression analysis.Conclusion: Higher BMI is associated with elevated WBC, RBC, Hb, Hct and platelet counts in children and adolescents. Because higher hematologic parameters are potential risk factors for obesity-related morbidity, more attention should be paid to evaluating and interpreting hematologic parameters in children and adolescents with obesity

Children ◽  
2022 ◽  
Vol 9 (1) ◽  
pp. 109
Author(s):  
Hwal Rim Jeong ◽  
Hae Sang Lee ◽  
Young Suk Shim ◽  
Jin Soon Hwang

We conducted this study to investigate the associations between hematological parameters and obesity in children and adolescents. The levels of hematological parameters (including white blood cells [WBCs], red blood cells [RBCs], hemoglobin [Hb], hematocrit [Hct], and platelets) of 7997 participants (4259 boys and 3738 girls) aged 10–18 years were recorded. The parameters were compared among participants with normal weight, overweight, and obesity. Significantly higher mean levels of WBCs (7.16 vs. 6.16 × 103/mm3, p < 0.001), RBCs (4.90 vs. 4.82 × 106/mm3, p < 0.001), Hb (14.07 vs. 13.99 g/dL, p < 0.05), Hct (42.31 vs. 41.91%, p < 0.001), and platelets (311.87 vs. 282.66 × 103/mm3, p < 0.001) were found in the obese than normal weight group, respectively, after adjusting for body mass index (BMI) and sex. BMI SDS had significant positive associations with the levels of WBCs (β = 0.275, p < 0.001), RBCs (β = 0.028, p < 0.001), Hb (β = 0.034, p < 0.001), Hct (β = 0.152, p < 0.001), and platelets (β = 8.372, p < 0.001) after adjusting for age, sex, and socioeconomic factors in a multiple linear regression analysis. A higher BMI was associated with elevated WBC, RBC, Hb, Hct, and platelet counts in children and adolescents. Because higher levels of hematological parameters are potential risk factors for obesity-related diseases, hematological parameters should be evaluated in obese children and adolescents.


2019 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge

Abstract Background: Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods: We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results: During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion: The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge

Abstract Background Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.


2020 ◽  
Vol 105 (3) ◽  
pp. e826-e834
Author(s):  
Hong Kyu Park ◽  
Young Suk Shim

Abstract Context Body mass index percentiles are widely used to determine overweight and obesity status in children and adolescents. Their limitations in clinical settings can be addressed. Objective Reference ranges for the tri-ponderal mass index percentiles of Korean children and adolescents are presented for a comparison of their clinical variables with those of body mass index. Design Cross-sectional study. Setting Korea National Health and Nutrition Examination Survey, 2007–2016. Patients Korean children and adolescents aged 10 to 20 years. Main Outcome Measures The age- and sex-specific least mean square parameters (skewness, median, and coefficient of variation) for the tri-ponderal mass index of 9749 subjects aged 10 to 20 years. Results The factors associated with metabolic syndrome, except diastolic blood pressure, were more likely to be worse in the subjects with tri-ponderal mass index values indicative of overweight status than in those with normal tri-ponderal mass index values. Body mass index tends to underestimate obesity-related comorbidities more than tri-ponderal mass index does. Conclusion The tri-ponderal mass index standard deviation score may be advantageous when defining overweight and obesity in children and adolescents.


2019 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge

Abstract Background: Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods: We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results: During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion: The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.


2019 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge

Abstract Background: Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods: We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results: During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion: The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.


Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 207-216
Author(s):  
Yue Zhou ◽  
Miao Yu ◽  
Jingang Cui ◽  
Shengwen Liu ◽  
Jiansong Yuan ◽  
...  

Abstract Background Substantial studies have demonstrated that left atrial (LA) enlargement was a robust predictor of atrial fibrillation (AF) and obesity was a modifiable risk factor for cardiovascular diseases. However, the role of body mass index (BMI) on LA dimension in hypertrophic obstructive cardiomyopathy (HOCM) remains unclear. Methods A total of 423 HOCM patients (average BMI 25.4 ± 3.4 kg/m2) were recruited for our study. Participants were stratified into three groups based on BMI: normal weight (BMI < 23 kg/m2), overweight (BMI 23–27.5 kg/m2), and obesity (BMI ≥ 27.5 kg/m2). Results Compared with normal weight, patients with obesity had significantly lower prevalence of syncope (p = 0.007) and moderate or severe mitral regurgitation (p = 0.014), and serum NT-proBNP (p = 0.004). Multiple linear regression analysis indicated that BMI (β = 0.328, p < 0.001), log NT-proBNP (β = 0.308, p < 0.001), presence of AF (β = 0.209, p = 0.001), and left ventricular diastolic diameter index (β = 0.142, p = 0.019) were independently related with LA diameter. However, BMI was not an independent predictor of the presence of AF on multivariable binary logistical regression analysis. Conclusions BMI was independently associated with LA diameter; however, it was not an independent predictor of prevalence of AF. These results suggest that BMI may promote incidence of AF through LA enlargement in HOCM.


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.


Diseases ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 25
Author(s):  
Sara Taleb ◽  
Leila Itani

(1) Background: Adolescence is a period of increased autonomy and independent decision making; it determines health behaviors that can persist into the future. Individual factors like food choices and unhealthy lifestyle have an essential role in the development and prevention of obesity among adolescents and are associated with the nutrition literacy of parents and other adults. While the association of parents’ nutrition literacy with adolescent BMI has been addressed, there is still a scarcity of studies that examine the effect of adolescents’ nutrition literacy on their eating habits and body mass index (BMI) status. (2) Methods: A cross-sectional study was conducted that included 189 adolescents (68 with overweight and obesity and 121 with normal weight) aged between 14–19 years from four private schools in Tripoli, Lebanon. A self-administered questionnaire that included the Nutrition Literacy Assessment Instrument (NLAI) and the Adolescent Food Habits Checklist (AFHC) was used. Anthropometrics were measured using standardized procedures. The association between nutrition literacy, food habits and BMI was assessed using a chi squared test for independence and Poisson regression analysis where suitable. (3) Results: Results indicated no association between all five components of nutrition literacy and body mass index categories. Furthermore, there was no association between the Adolescent Food Habits Checklist and overweight or obese BMI status (RR = 0.947, 95%CI: 0.629–1.426) (p = 0.796). No association was observed between nutrition literacy and food habits, except for an inverse association with macronutrients literacy. (4) Conclusions: In conclusion, the study indicated that there was no association between the components of nutrition literacy with body mass index or with food habits, except for macronutrient literacy.


1998 ◽  
Vol 76 (2) ◽  
pp. 237-241 ◽  
Author(s):  
L J Martin ◽  
PJH Jones ◽  
R V Considine ◽  
W Su ◽  
N F Boyd ◽  
...  

To investigate whether circulating leptin levels are associated with energy expenditure in healthy humans, doubly labeled water energy measurements and food intake assessment were carried out in 27 women (mean age, 48.6 years; weight, 61.9 kg; body mass index, 23.2). Energy expenditure was determined over 13 days. Food intake was measured by 7-day food records. Leptin was measured by radioimmunoassay. Leptin level was strongly associated with percentage body fat (r = 0.59; p < 0.001), fat mass (r = 0.60; p < 0.001), and body mass index (r = 0.41; p = 0.03), but no correlation was observed with energy expenditure (r = 0.02; p = 0.93). After controlling for percentage body fat, a positive association of leptin level with energy expenditure of marginal significance (p = 0.06) was observed. There were no significant univariate associations of age, physical activity, lean body mass, height, or dietary variables with leptin level. When controlling for body fat, a significant positive correlation was observed for percent energy from carbohydrate and negative correlations with dietary fat and alcohol intake. These findings confirm previous associations between leptin and body fat content and suggest a relationship between serum leptin and energy expenditure level in healthy humans.Key words: leptin, energy expenditure, body composition, diet.


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