scholarly journals Increasing Body Mass Index z-Score Is Continuously Associated with Complications of Overweight in Children, Even in the Healthy Weight Range

2006 ◽  
Vol 92 (2) ◽  
pp. 517-522 ◽  
Author(s):  
Lana M. Bell ◽  
Sue Byrne ◽  
Alisha Thompson ◽  
Nirubasini Ratnam ◽  
Eve Blair ◽  
...  
2005 ◽  
Vol 8 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Fei Xu ◽  
Xiao-Mei Yin ◽  
Min Zhang ◽  
Eva Leslie ◽  
Robert Ware ◽  
...  

AbstractObjective:To explore the relationship between family average income (FAI; an index of socio-economic status) and body mass index (BMI; a widely used, inexpensive indicator of weight status) above the healthy weight range in a region of Mainland China.Design:Population-based cross-sectional study, conducted between October 1999 and March 2000 on a sample of regular local residents aged 35 years or older who were selected by random cluster sampling.Setting:Forty-five administrative villages selected from three urban districts and two rural counties of Nanjing municipality, Mainland China, with a regional population of 5.6 million.Subjects:In total, 29 340 subjects participated; 67.7% from urban and 32.3% from rural areas; 49.8% male and 50.2% female. The response rate among eligible participants was 90.1%.Results:The proportion of participants classified as overweight was 30.5%, while 7.8% were identified as obese. After adjusting for possible confounding variables (age, gender, area of residence, educational level, occupational and leisure-time physical activity, daily vegetable consumption and frequency of red meat intake), urban participants were more likely to be overweight or obese relative to their rural counterparts, more women than men were obese, and participants in the lowest FAI tertile were the least likely to be above the healthy weight range.Conclusions:The proportion of adults with BMI above the healthy weight range was positively related to having a higher socio-economic status (indexed by FAI) in a regional Chinese population.


2020 ◽  
Vol 26 (2) ◽  
pp. 103-113
Author(s):  
Rati Jani ◽  
Cathy K Agarwal ◽  
Pip Golley ◽  
Nicola Shanyar ◽  
Kimberley Mallan ◽  
...  

Background: The nexus between appetitive traits, dietary patterns and weight status has predominantly been studied in a mixed sample (healthy weight, overweight and obese sample). Aim: This cross-sectional study examined associations between overweight/obese children’s appetitive traits, dietary patterns and weight status. Methods: We studied children ( N = 58, body mass index z-score: 2.25±0.46), 4–12 years attending the School Kids Intervention Program. Children’s appetitive traits and dietary patterns were measured with the Child Eating Behaviour Questionnaire and Children’s Dietary Questionnaire, respectively. Children’s height and weight were used to compute body mass index z-score; waist circumference was also measured and waist-to-height ratio was calculated. Results: After controlling for children’s age and gender, hierarchical linear regression analyses showed that lower scores for slowness in eating were associated with higher body mass index z-scores in children (β = −0.31, p = 0.01). Higher scores for emotional overeating were associated with higher waist-to-height ratio in children (β = 0.48, p = 0.01). Higher scores for fussiness were correlated with lower scores for fruits and vegetables (β = −0.59, p < 0.001) and higher scores for non-core foods (β = 0.26, p = 0.04). Conclusion: Results observed in the current sample of overweight and obese children are consistent with previous studies examining healthy-weight children. Slowness in eating may foster an obesity ‘protective’ effect, whereas emotional overeating may promote susceptibility to weight gain. Fussy eating may impair diet quality by lower consumption of vegetables and fruits and higher intake of non-core foods. This evidence will support dietitians to consider children’s appetitive traits when providing dietary consultation to support obesity management among overweight/obese children.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Elvira Verduci ◽  
Giuseppe Banderali ◽  
Elisabetta Di Profio ◽  
Sara Vizzuso ◽  
Gianvincenzo Zuccotti ◽  
...  

Abstract Background The Atherogenic Index of Plasma is a predictive biomarker of atherosclerosis in adults but there is a lack of studies in paediatric population aimed at evaluating the longitudinal changes of the AIP and of the cardiometabolic blood profile related to nutritional interventions. The aim of this study was to compare the effect of individual- versus collective-based nutritional-lifestyle intervention on the Atherogenic Index of Plasma in schoolchildren with obesity. Methods One-hundred sixty-four children aged 6–12 years with Body Mass Index z-score > 2 referred to the Paediatric Obesity Clinic, San Paolo Hospital, Milan, Italy, were consecutively enrolled and randomized to undergo to either an individual- (n = 82) or a collective- (n = 82) based intervention promoting a balanced normo-caloric diet and physical activity. In addition, the individual intervention included a tailored personalized nutritional advice and education based on the revised Coventry, Aberdeen, and London-Refined taxonomy. Both at baseline and after 12 months of intervention, dietary habits and anthropometric measures were assessed, a fasting blood sample were taken for biochemistry analysis. Results The participation rate at 12 months was 93.3% (n = 153 patients), 76 children in the individual-intervention and 77 children in the collective intervention. At univariate analysis, mean longitudinal change in Atherogenic Index of Plasma was greater in the individual than collective intervention (− 0.12 vs. − 0.05), as well as change in triglyceride-glucose index (− 0.22 vs. − 0.08) and Body Mass Index z-score (− 0.59 vs. − 0.37). At multiple analysis, only change in Body Mass Index z-score remained independently associated with intervention (odds ratio 3.37). Conclusion In children with obesity, an individual-based nutritional and lifestyle intervention, including techniques from the CALO-RE taxonomy, could have an additional beneficial effect over a collective-based intervention, although the actual size of the effect remains to be clarified. Trial Registration Clinical Trials NCT03728621


2020 ◽  
Vol 9 (8) ◽  
pp. 2651
Author(s):  
Zachary C. Pope ◽  
Charles Huang ◽  
David Stodden ◽  
Daniel J. McDonough ◽  
Zan Gao

Children’s body mass index may affect physical activity (PA) participation. Therefore, this study examined the effect of children’s weight status on underserved elementary school children’s PA and sedentary behavior (SB) throughout the segmented day. Participants were 138 children (X¯age = 8.14 years). Children’s height and weight were measured with subsequent classification of children as healthy weight or overweight/obese. Durations of moderate-to-vigorous PA (MVPA), light PA (LPA), and SB during physical education (PE), morning recess, lunch recess, after school, and overall were assessed via accelerometry over three days. Independent t-tests evaluated differences in children’s MVPA, LPA, and SB during each daily segment by weight status. Significantly higher MVPA was observed for children of healthy weight status versus children with overweight/obesity during morning recess, t(136) = 2.15, p = 0.03, after school, t(136) = 2.68, p < 0.01, and overall, t(136) = 2.65, p < 0.01. Interestingly, comparisons of children of healthy weight status and children with overweight/obesity’s LPA and SB during the after-school segment revealed a trend wherein children with overweight/obesity participated in slightly greater LPA/less SB than children of healthy weight status. Higher MVPA was observed among children of healthy weight versus children with overweight/obesity during most daily segments. Concerted efforts should focus on increasing MVPA among children with overweight/obesity.


2011 ◽  
Vol 71 (5) ◽  
pp. 655-660 ◽  
Author(s):  
Andrew K Wills ◽  
Stephanie Black ◽  
Rachel Cooper ◽  
Russell J Coppack ◽  
Rebecca Hardy ◽  
...  

IntroductionThe authors examined how body mass index (BMI) across life is linked to the risk of midlife knee osteoarthritis (OA), testing whether prolonged exposure to high BMI or high BMI at a particular period has the greatest influence on the risk of knee OA.MethodsA population-based British birth cohort of 3035 men and women underwent clinical examination for knee OA at age 53 years.Heights and weights were measured 10 times from 2 to 53 years. Analyses were stratified by gender and adjusted for occupation and activity levels.ResultsThe prevalence of knee OA was higher in women than in men (12.9% (n=194) vs 7.4% (n=108)). In men, the association between BMI and later knee OA was evident at 20 years (p=0.038) and remained until 53 years (OR per z-score 1.38 (95% CI 1.11 to 1.71)). In women, there was evidence for an association at 15 years (p=0.003); at 53 years, the OR was 1.89 (95% CI 1.59 to 2.24) per z-score increase in BMI. Changes in BMI from childhood in women and from adolescence in men were also positively associated with knee OA. A structured modelling approach to disentange the way in which BMI is linked to knee OA suggested that prolonged exposure to high BMI throughout adulthood carried the highest risk and that there was no additional risk conferred from adolescence once adult BMI had been accounted for.ConclusionThis study suggests that the risk of knee OA accumulates from exposure to a high BMI through adulthood.


2021 ◽  
Author(s):  
Michelle Asinobi ◽  
Cristina Palacios ◽  
Yanyan Wu ◽  
Jinan Banna

Abstract Background: A healthy pre-pregnancy BMI fosters positive outcomes for both mother and infant both during and after pregnancy. To design interventions to promote a healthy pre-pregnancy BMI in low-income women, it is important to understand correlates. The purpose of this study was to identify the socio-demographic correlates of pre-pregnancy body mass index (BMI) among low-income women.Methods: Participants were low-income pregnant women (n=83) in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program in Hawai‘i enrolled in a four-month text message-based nutrition intervention program. Participants reported pre-pregnancy weight and height and completed a demographics questionnaire on age, race/ethnicity, education, employment status and number of children. Descriptive statistics (mean, standard deviation for continuous variables, and frequencies and proportions for categorical variables) were used to summarize the sample. Simply linear regression analyses were performed to examine if independent variables were associated with BMI before pregnancy. Results: Among the 83 women, 33 (39.8%) were 18-24 years old, 22 (26.5%) were between 25 and 29, 19 (22.9%) were 30-34 and 9 (10.8%) were 35-41. A total of 18 (21.7%) were Asian. Age and race/ethnicity were marginally associated with BMI before pregnancy. The age group 30-34 had the highest BMI before pregnancy (p=0.06) and Asian had lower BMI before pregnancy than the other races/ethnicities (p=0.01). Conclusions: Being classified as Asian was associated with lower BMI before pregnancy, while those who were 30-34 years old had the highest pre-pregnancy BMI compared to other age groups. These socio-demographic factors should be taken into account when designing interventions to promote healthy weight in women of childbearing age. Trial registration: The trial is registered on clinicaltrials.gov (NCT04330976). Date of registration April 2, 2020 (restrospectively registered). URL: https://clinicaltrials.gov/ct2/show/NCT04330976


2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Sultan Z. Alasmari ◽  
Nashwa Eisa ◽  
Saeed Mastour Alshahrani ◽  
Mohammad Mahtab Alam ◽  
Prasanna Rajagopalan ◽  
...  

Background. Body mass index (BMI) is a metric widely used to measure the healthy weight of an individual and to predict a person’s risk of developing serious illnesses. Study the statistical association between genetically transmitted traits and BMI might be of interest. Objectives. The present study designed to extend the inadequate evidence concerning the influence of some genetically transmitted traits including ABO blood type, Rh factor, eye color, and hair color on BMI variation. Methods. A total of 142 undergraduate female students of the Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia, were participated to investigate the possible linkage between genetic traits and BMI variations. Height and weight are collected from participants for BMI measurement. ABO blood type and Rh factor were determined by antisera. Results. Out of 142 female students, 48 were categorized in the first tertile (T1: less than 19.8 kg/m2), 50 were categorized in the second tertile (T2: between 19.8 and 23.7 kg/m2), and 44 were categorized in the third tertile (T3: greater than 23.7 kg/m2). Chi-square analysis shows that there were no associations of genetic traits including hair color, eye color, ABO blood type, and Rh blood type with BMI. However, a significant association between hair color and BMI was observed using multinomial logistic regression analysis. Conclusions. Our data provides a more robust prediction of the relative influence of genetic effects such as hair color on BMI. Future studies may contribute to identifying more association between genes involved in hair pigmentation and BMI variation.


2018 ◽  
Vol 48 (4) ◽  
pp. 422-427 ◽  
Author(s):  
Laura Keaver ◽  
Benshuai Xu ◽  
Abbygail Jaccard ◽  
Laura Webber

Background: Morbid obesity (body mass index ⩾40 kg/m2) carries a higher risk of non-communicable disease and is associated with more complex health issues and challenges than obesity body mass index ≥30kg/m2 and <40kg/m2, resulting in much higher financial implications for health systems. Although obesity trends have previously been projected to 2035, these projections do not separate morbid obesity from obesity. This study therefore complements these projections and looks at the prevalence and development of morbid obesity in the UK. Methods: Individual level body mass index data for people aged >15 years in England, Wales (2004–2014) and Scotland (2008–2014) were collated from national surveys and stratified by sex and five-year age groups (e.g. 15–19 years), then aggregated to calculate the annual distribution of healthy weight, overweight, obesity and morbid obesity for each age and sex group. A categorical multi-variate non-linear regression model was fitted to these distributions to project trends to 2035. Results: The prevalence of morbid obesity was predicted to increase to 5, 8 and 11% in Scotland, England and Wales, respectively, by 2035. Welsh women aged 55–64 years had the highest projected prevalence of 20%. In total, almost five million people are forecast to be classified as morbidly obese across the three countries in 2035. Conclusions: The prevalence of morbid obesity is predicted to increase by 2035 across the three UK countries, with Wales projected to have the highest rates. This is likely to have serious health and financial implications for society and the UK health system.


2018 ◽  
Vol 25 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Sarah Carsley ◽  
Catherine S. Birken ◽  
Patricia C. Parkin ◽  
Eleanor Pullenayegum ◽  
Karen Tu

BackgroundElectronic medical records (EMRs) from primary care may be a feasible source of height and weight data. However, the use of EMRs in research has been impeded by lack of standardisation of EMRs systems, data access and concerns about the quality of the data.ObjectivesThe study objectives were to determine the data completeness and accuracy of child heights and weights collected in primary care EMRs, and to identify factors associated with these data quality attributes.MethodsA cross-sectional study examining height and weight data for children <19 years from EMRs through the Electronic Medical Record Administrative data Linked Database (EMRALD), a network of family practices across the province of Ontario. Body mass index z-scores were calculated using the World Health Organization Growth Standards and Reference.ResultsA total of 54,964 children were identified from EMRALD. Overall, 93% had at least one complete set of growth measurements to calculate a body mass index (BMI) z-score. 66.2% of all primary care visits had complete BMI z-score data. After stratifying by visit type 89.9% of well-child visits and 33.9% of sick visits had complete BMI z-score data; incomplete BMI z-score was mainly due to missing height measurements. Only 2.7% of BMI z-score data were excluded due to implausible values.ConclusionsData completeness at well-child visits and overall data accuracy were greater than 90%. EMRs may be a valid source of data to provide estimates of obesity in children who attend primary care.


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