scholarly journals Accuracy of self-reported height, weight and BMI in a multiethnic Asian population

2021 ◽  
Vol 50 (4) ◽  
pp. 306-314
Author(s):  
Kumarasan Roystonn ◽  
Edimansyah Abdin ◽  
Rajeswari Sambasivam ◽  
Yunjue Zhang ◽  
Sherilyn Chang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Asian Population ◽  
Epidemiological Survey ◽  
Self Report ◽  
Obesity Prevalence ◽  
Cross Sectional ◽  
Intraclass Correlations ◽  
Kappa Agreement

Introduction: The study assessed whether self-reported height, weight and derived body mass index (BMI) can provide an accurate measure of anthropometric data in a multiethnic adult population in Singapore. Methods: Standardised anthropometric measurements were compared against the self-reported values from 5,132 adult residents in a cross-sectional, epidemiological survey. Discrepancies in self-reports from measurements were examined by comparing overall mean differences. Intraclass correlations, Cohen’s kappa and Bland-Altman plots with limits of agreement, and sub-analysis by sex and ethnicity were also explored. Results: Data were obtained from 5,132 respondents. The mean age of respondents was 43.9 years. Overall, the height was overestimated (0.2cm), while there was an underestimation of weight (0.8kg) and derived BMI (0.4kg/m2). Women had a larger discrepancy in height (0.35cm, 95% confidence interval [CI] 0.22 to 0.49), weight (-0.95kg, 95% CI -1.11 to -0.79) and BMI (-0.49kg/m2, 95% CI -0.57 to -0.41) compared with men. Height reporting bias was highest among Indians (0.28cm, 95% CI 0.12 to 0.44) compared with Chinese and Malays, while weight (-1.32kg, 95% CI -1.53 to -1.11) and derived BMI (-0.57kg/m2, 95% CI -0.67 to -0.47) showed higher degrees of underreporting among Malays compared with Chinese and Indians. Substantially high self-reported versus measured values were obtained for intraclass correlations (0.96–0.99, P<0.001) and kappa (0.74). For BMI categories, good to excellent kappa agreement was observed (0.68–0.81, P<0.0001). Conclusion: Self-reported anthropometric estimates can be used, particularly in large epidemiological studies. However, sufficient care is needed when evaluating data from Indians, Malays and women as there is likely an underestimation of obesity prevalence. Keywords: Body mass index, epidemiology, public health, self-report, validity

scholarly journals The relationship between body mass index and lifestyle in a Brazilian adult population: a cross-sectional survey

2007 ◽  
Vol 23 (11) ◽  
pp. 2694-2740 ◽  
Author(s):  
Maria do Rosário Gondim Peixoto ◽  
Maria Helena D'Aquino Benício ◽  
Paulo César Brandão Veiga Jardim
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Food Consumption ◽  
Body Mass ◽  
Adult Population ◽  
Linear Regression Analysis ◽  
Meat Consumption ◽  
Demographic Variables ◽  
Obesity Prevalence ◽  
Cross Sectional

This study focused on adult obesity prevalence in Goiânia, Goiás State, Brazil, and the association between socio-demographic variables, lifestyle, physical activity, eating habits, and food consumption frequency and body mass index (BMI). A cross-sectional study was conducted in 2001 with a sample of 1,252 individuals from 20 to 64 years of age. The association between socio-demographic variables, lifestyle, food consumption, and physical activity and BMI was evaluated by hierarchical multiple linear regression analysis. Obesity prevalence was 10.7% in men and 13.9% in women. In males, age, income, and meat consumption showed a positive association with BMI, while physical activity during leisure time and commuting and the habit of eating > 4 meals per day were inversely associated with BMI. In women, positively associated factors were age, no smoking, and no meat consumption; in contrast, consumption of grains was inversely associated with BMI. High obesity prevalence was observed; active lifestyle coupled with ingestion of more grains and less meat appeared to protect against increased BMI.

MODEST OVERWEIGHT AND HEALTHY DIETARY HABITS REDUCE RISK OF DEMENTIA: A NATIONWIDE SURVEY IN TAIWAN

2016 ◽  
pp. 1-8
Author(s):  
C.-Y. Lee ◽  
Y. Sun ◽  
H.-J. Lee ◽  
T.-F. Chen ◽  
P.-N. Wang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Dietary Habits ◽  
Demographic Data ◽  
Sugar Content ◽  
East Asian ◽  
Asian Population ◽  
Nationwide Survey ◽  
Normal Subjects ◽  
Cross Sectional

Background: Evidence of the associations of dietary habits and body mass index with dementia is inconsistent and limited in East Asian countries. Objective: We aim to explore the associations of dietary habits and body mass index with the odds of dementia. Design: Cross-sectional observational study. Setting: A nationwide, population-based, door-to-door, in-person survey. Participants: Selected by computerized random sampling from all 19 counties in Taiwan. Measurement: Diagnosis of dementia using the criteria recommended by the National Institute on Aging-Alzheimer’s Association. Lifestyle factors, dietary habits and demographic data were compared between normal subjects and participants with dementia. Results: A total of 10432 residents were assessed, among whom 2049 were classified as having a mild cognitive impairment (MCI), 929 were diagnosed with dementia, and 7035 were without dementia or MCI. After adjustment for age, gender, education, body mass index (BMI), dietary habits, habitual exercises and co-morbidities, including hypertension, diabetes and cerebrovascular diseases, we found inverse associations of dementia with the consumption of fish (OR 0.62, 95% CI 0.41-0.94), vegetables (OR 0.35, 95% CI 0.13-0.95), coffee (OR 0.59, 95% CI 0.35-0.97), green tea (OR 0.51, 95% CI 0.34-0.75) and other types of tea (OR 0.41, 95% CI 0.28-0.60). There was no association between dementia and fruit consumption. Compared with people who had a normal BMI (18 < BMI <= 24), older overweight people (24 < BMI <=30) had a reduced risk of dementia with an adjusted OR of 0.77 (95% CI 0.61-0.96). Conclusions: Our study provides preliminary evidence that suggests that the consumption of fish, vegetables, tea, and coffee has potential benefits against dementia in East Asian population. Being modestly overweight (nadir risk at BMI = 25) in late life was associated with decreased odds of dementia. The benefit of fruits may be offset by their high sugar content.

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.

scholarly journals Metabolic Phenotyping Using Metabolic Syndrome Criteria and Cardiometabolic Disabilities Criteria in Bangladeshi Adult Population

2019 ◽  
Vol 11 (1) ◽  
pp. 1-8
Author(s):  
S Naher ◽  
SS Sejooti ◽  
MM Hoque ◽  
MS Zaman ◽  
H Imam ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Normal Weight ◽  
Cross Sectional ◽  
Global Epidemic ◽  
Metabolic Phenotypes ◽  
Metabolically Healthy ◽  
Medical University

Obesity has become a global epidemic and has been found to be associated with numerous comorbidities. Body mass index (BMI) based classification of obesity is simple but co-morbidities do not affect all obese and overweight people. The present study was aimed to find out the frequency of metabolic phenotypes in different BMI groups using metabolic syndrome (MetS) criteria and cardiometabolic disabilities (CA) criteria and also to find out an appropriate method for defining metabolic health among adult population attending out patient department of Bangabandhu Sheikh Mujib Medical University (BSMMU). This cross-sectional analytical study was carried out in the Department of Biochemistry, Bangabandhu Sheikh Mujib Medical University (BSMMU) from March 2016 to February 2017. By non probability sampling, a total of 1023 study subjects were selected from apparently healthy adult individuals attending outpatient department of BSMMU. The study subjects were grouped into three body mass index classes and also further categorized into six groups according to metabolically unhealthy or healthy phenotypes by presence or absence of metabolic syndrome (MetS) criteria as well as cardiometabolic disabilities (CA) criteria respectively. Then agreement among different metabolic phenotypes based on these two criteria were observed. Frequency of different metabolic phenotypes i,e metabolically healthy normal weight (MHNW), metabolically obese normal weight (MONW), metabolically healthy over weight (MHOW), metabolically obese over weight (MOOW), metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) were 12.3%, 6.9%, 21.4%, 27.7%, 7.7%, 23.9% by MetS criteria and 7.7%, 11.5%, 11.6%, 37.4%, 6.1%, 25.6% by CA criteria respectively. MOOW followed by MUO were found to be predominant among all phenotypes. Fare agreement was found between two criteria in case of normal weight and overweight groups and good agreement was found in case of obese groups. From this study, it may be concluded that, attention should be given to the metabolically obese phenotypes in different BMI classes to reduce co-morbidities. Bangladesh J Med Biochem 2018; 11(1): 1-8

scholarly journals Trends in body mass index and blood pressure associations from 1989 to 2018: co-ordinated analysis of 145,399 participants

2020 ◽  
Author(s):  
David Bann ◽  
Shaun Scholes ◽  
Rebecca Hardy ◽  
Dara O’Neill
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Quantile Regression ◽  
Body Mass ◽  
Age Groups ◽  
High Body Mass Index ◽  
Obesity Prevalence ◽  
Birth Cohorts ◽  
Cross Sectional ◽  
Adult Age

BackgroundHigh body mass index (BMI) is an important contributor to higher blood pressure (BP) levels and its deleterious consequences. However, the strength of this association may be context-specific and differ across time due to increases in medication use or secular changes in body composition. Thus, we utilised two independent data sources to investigate if associations between BMI and systolic BP (SBP) in Britain changed from 1989-2018.MethodsWe used 23 repeated cross-sectional datasets—the Health Survey for England (HSE) at ≥25 years (1994–2018; N=126,742); and three British birth cohorts (born 1946, 1958, and 1970) with outcomes available at 43-46 years (N=18,657). Anthropometry and BP were measured using standard protocols. We used linear and quantile regression to investigate cross-sectional associations between BMI and SBP.ResultsIn HSE, associations were weaker in subsequent years, and this trend was most pronounced amongst older adults—after accounting for sex, treatment and education, the mean difference in SBP per 1 kg/m2 increase in BMI amongst adults ≥55 years was 0.75mmHg (95% CI: 0.60, 0.90) in 1994, 0.66mmHg (0.46, 0.85) in 2003, and 0.53mmHg (0.35, 0.71) in 2018. In cohorts, BMI and SBP associations were of similar magnitude in 1958 and 1970 cohorts and weaker in the 1946 cohort. Quantile regression analyses suggested that associations between BMI and SBP were present both below and above the hypertension threshold.ConclusionThe consequences of BMI may differ across time and by age —associations between BMI and SBP appear to have weakened in recent decades, particularly in older ages. Thus, at older ages, this weakening strength of association may partly offset the public health impacts of increases in obesity prevalence. However, BMI remains positively associated with SBP in all adult age groups, highlighting the potential adverse consequences of the ongoing obesity epidemic.

scholarly journals Prevalence of hypertension and its association with anthropometric parameters in adult population of Raipur city, Chhattisgarh, India

2017 ◽  
Vol 5 (5) ◽  
pp. 2120 ◽  
Author(s):  
Prem S. Panda ◽  
Kamlesh K. Jain ◽  
Gopal P. Soni ◽  
Shubhra A. Gupta ◽  
Srishti Dixit ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Adult Population ◽  
Public Health Problem ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Waist Hip Ratio ◽  
Waist Height Ratio

Background: Obesity is now an important emerging public health problem in India. It is one of the major risk factor for hypertension. Overweight persons have two to six fold increase in the risk of developing hypertension. This study was carried out with objective to find out prevalence of Hypertension and assess its association with four obesity-related indices- body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR).Methods: A cross-sectional community-based study was done among 640 study subjects of age group 25-59 years during July 2015 to June 2016. Multi stage random sampling method was used. Data collection was done using WHO STEPS instrument V 3.1. Privacy and confidentiality of data was maintained. Data was entered in the Microsoft excel, collected data was checked for its completeness and correctness before data analysis with the help of PSPP software.Results: Prevalence of hypertension among study subjects was found to be 22.19% (142 out of 640).With respect to body mass index, waist circumference, waist hip ratio and waist height ratio, 4.38%, 64.35%, 85.33%, 76.2% were found to be obese respectively. Hypertension was strongly associated with BMI (p<0.001), waist circumference (p<0.001), waist hip ratio (p<0.05), waist height ratio (p<0.05). Out of the four anthropometric variables waist hip ratio (WHR) was most strongly associated with hypertension (β=420.236, p=0.007).Conclusions: The study shows a rising burden of hypertension among study population. As WHR is the best indicator for measuring obesity, so measurement of WHR should be made compulsory in healthy life style clinics along with other parameters.

scholarly journals Association between body mass index and mental health among Scottish adult population: a cross-sectional study of 37272 participants

2013 ◽  
Vol 44 (10) ◽  
pp. 2231-2240 ◽  
Author(s):  
Z. Ul-Haq ◽  
D. F. Mackay ◽  
E. Fenwick ◽  
J. P. Pell
Keyword(s):  
Mental Health ◽  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Poor Mental Health ◽  
Class Iii ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional

BackgroundThe evidence is conflicting as to whether body mass index (BMI) is associated with mental health and, if so, to what extent it varies by sex and age. We studied mental health across the full spectrum of BMI among the general population, and conducted subgroup analyses by sex and age.MethodWe undertook a cross-sectional study of a representative sample of the Scottish adult population. The Scottish Health Survey provided data on mental health, measured by the General Health Questionnaire-12 (GHQ), BMI, demographic and life-style information. Good mental health was defined as a GHQ score <4, and poor mental health as a GHQ score ⩾4. Logistic regression models were applied.ResultsOf the 37 272 participants, 5739 (15.4%) had poor mental health. Overall, overweight participants had better mental health than the normal-weight group [adjusted odds ratio (OR) 0.93, 95% confidence interval (CI) 0.87–0.99, p = 0.049], and individuals who were underweight, class II or class III obese had poorer mental health (class III obese group: adjusted OR 1.26, 95% CI 1.05–1.51, p = 0.013). There were significant interactions of BMI with sex (p = 0.013) and with age (p < 0.001). Being overweight was associated with significantly better mental health in middle-aged men only. In contrast, being underweight at all ages or obese at a young age was associated with significantly poorer mental health in women only.ConclusionsThe adverse associations between adiposity and mental health are specific to women. Underweight women and young women who are obese have poorer mental health. In contrast, middle-aged overweight men have better mental health.

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