scholarly journals How Well Does Body Mass Index (BMI) Predict Undiagnosed Hypertension and Diabetes in Indonesian Adults Community Population?

2021 ◽  
Vol 13 (11) ◽  
pp. 25
Author(s):  
Rofingatul Mubasyiroh ◽  
Nunik Kusumawardani ◽  
Rika Rachmalina ◽  
Prisca Petty Arfines ◽  
Tities Puspita ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Operating Characteristic ◽  
Health Workers ◽  
Population Based ◽  
Cross Sectional Study ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Undiagnosed Hypertension ◽  
Anthropometric Index

BACKGROUND: Previous studies have reported that Body Mass Index (BMI) cut-off was related to non-communicable diseases. This study aimed to give the latest evidence related to the accuracy of BMI cut-off towards undiagnosed hypertension and diabetes in the Indonesian population. METHODS: This was A cross-sectional study that involved data of the 2018 national population-based health survey, with the samples were 15,516 male and female populations aged between 19 years old and above. This study only included those claimed to have never been diagnosed as suffering from diabetes and hypertension by health workers. Receiver operating characteristic (ROC) analysis was conducted to assess the optimal BMI cut-off. The logistic regression was performed to assess the association of BMI on undiagnosed hypertension and diabetes controlled by several variables. RESULTS: The average BMI sample was 24 kg/m2 (SD = 4.6 kg/m2. The proportion of undiagnosed hypertension was 36.9%, and 12.3% for the proportion of undiagnosed diabetes. According to the ROC, the result shows BMI was more sensitive to hypertension conditions compared to diabetes. BMI cut-off points at 23.9 kg/m2 (AUC=0.59;Se=64.3%;Sp=53.4%) was the optimum value to predict hypertension and 24.9 kg/m2 (AUC=0.55;Se=53.1%;Sp=56.4%) was the optimum for diabetes. CONCLUSIONS: Based on the optimal AUC cut-off points for BMI which is around 0.5, BMI needs to be reconsidered as an anthropometric index in predicting undiagnosed hypertension and diabetes. And an assessment can be made using other anthropometric indices, such as waist circumference to predict undiagnosed hypertension and diabetes.

scholarly journals Which body mass index is best associated with risk of diabetes mellitus and hypertension in a Japanese-Brazilian population?

2007 ◽  
Vol 23 (2) ◽  
pp. 297-304 ◽  
Author(s):  
Rosana Farah Simony ◽  
Suely Godoy Agostinho Gimeno ◽  
Sandra Roberta Gouveia Ferreira ◽  
Laércio Joel Franco
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Odds Ratios ◽  
Cross Sectional ◽  
Japanese Brazilians ◽  
The Impact

The objective of this study was to evaluate the impact of different body mass index (BMI) ranges associated with the risk of diabetes and hypertension in Japanese-Brazilians. This cross-sectional study was based on data from 1,330 Japanese-Brazilians > 30 years of age who participated in a population-based survey on the prevalence of diabetes mellitus and associated diseases. Glucose tolerance status was classified according to WHO criteria and blood pressure levels according to the VI-JNC. Odds ratios for diabetes and hypertension were calculated for different BMI ranges; for different BMIs, sensitivity and specificity for percentiles 25, 50, 75, 90 and 95 were obtained. Increased odds ratios for diabetes mellitus and hypertension were observed with BMI values > 25kg/m². The 50th percentile corresponded to the highest sensitivity and specificity for the identification of risk for both diseases. Our results suggest that BMI values proposed by WHO should also be useful for this group of Japanese descendants in the assessment of risk for DM and hypertension.

scholarly journals Socio-demographic determinants of body mass index among school children in Ebonyi State, Nigeria

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Henry A. Akinsola ◽  
Chinwe Ezeruigbo ◽  
Kwabena A. Kyei ◽  
Felix C. Anyanwu ◽  
Robert Nemakhavhani
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
School Children ◽  
Female Gender ◽  
Population Based ◽  
Cross Sectional Study ◽  
Demographic Characteristics ◽  
Effective Population ◽  
Cross Sectional ◽  
Level Of Education

Background: African specific studies on the factors associated with the growth pattern of children are needed to guide evidence and develop effective population-based interventions that can be tailored to the unique African context.Purpose: The purpose of this study was to determine the socio-economic correlates of body mass index (BMI) of primary and secondary school children in Ebonyi State, which is situated in south-eastern Nigeria.Methodology: This was a quantitative, cross-sectional study that utilised clustering and stratified sampling techniques to select 1000 learners from primary and secondary schools located in Abakaliki local government area. Apart from a questionnaire, a Mettler weighing scale was also used for data collection. A generalised linear model was used to test the association between the participants’ socio-demographic characteristics and their BMI.Result: BMI was positively related to female gender but negatively related to age and level of education. The mode of cooking, who the participants live with and how they get to school also predicted changes in BMI. Other variables like mother’s occupation and family’s mode of transport were also associated with BMI changes while father’s level of education, mother’s level of education, father’s occupation and the type of residence did not have any statistical relationship with BMI.Conclusion: The present study shows that the BMI of school children is influenced by the socio-demographic characteristics surrounding them. Therefore, efforts should be made to improve the socio-economic standing of families in this community.

scholarly journals Association of Probiotic Consumption and Body Mass Index in the US Population: Insights from NHANES (P21-022-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ajita Jadhav ◽  
Kathleen Melanson
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Antibiotic Use ◽  
Population Based ◽  
Cross Sectional Study ◽  
Healthy Eating Index ◽  
Weighted Mean ◽  
Cross Sectional ◽  
Supplement Use

Abstract Objectives To determine the association between probiotic consumption through food or supplements and Body Mass Index (BMI) in National Health And Nutrition Examination Survey (NHANES) data. Methods This large US population based cross-sectional study includes 2005–2014 NHANES data. We utilized 24-hour Dietary Recall (DR) interviews and Dietary Supplement Use 30-Day recall (DSQ) to extract the Probiotic Food (PF) and Probiotic Supplements (PS) consumption, respectively, using text search terms. Adults (≥18 years), who responded to DR interviews and DSQ, were included, while pregnant women were excluded from the study. Differences in probiotic consumers and non-consumers were assessed with χ2/Wilcoxon tests. To assess the relationship among probiotic consumption and BMI, we performed multiple linear regression while adjusting for confounders such as gender, race, age, Healthy Eating Index (HEI), Kcal consumption, physical activity and antibiotic use. Results of associations were analyzed separately for PF and PS, and weighted to reflect national estimates. Results Study included 15,104,111 (13.8%) PF consumers and 94,421,839 (86.2%) non-consumers. PF consumers were generally female (63.2% vs. 51.6%), white (77.6% vs. 67.1%), older [mean (±SD) 48.54 ± 0.99 vs. 46.29 ± 0.55 years], had higher HEI [57.52 ± 0.86 vs. 52.33 ± 0.37] and Kcal consumption [3861.77 ± 63.70 vs. 3737.49 ± 31.62], but similar physical activity (46.9% vs. 46.9%) and antibiotic use (4.9% vs. 4.6%) compared to non-consumers. We also identified 1108,619 (1.1%) PS users and 101,698,442 (98.9%) non-users. Compared to non-users, PS users were commonly female (67.8% vs. 51.8%), white (84.5% vs. 66.4%), older [52.60 ± 3.11 vs. 46.36 ± 1.06 years], had higher HEI [60.92 ± 2.41 vs. 52.70 ± 0.37], similar physical activity (45.3% vs. 45.0%) and Kcal Consumption [3599.08 ± 182.06 vs. 3737.43 ± 31.83], but more antibiotic users (9.4% vs. 4.5%). After adjusting for confounders, the weighted mean BMI was 0.48 kg/m2 [95% Confidence Interval (CI) = (−0.68) – (−0.28)] lower for PF consumers than non-consumers. PS users had even lower weighted mean BMI [−1.10 kg/m2, 95% CI = (−1.71) – (−0.48)] compared to non-users. Conclusions In this large nationally representative population-based study, probiotic consumption via food or supplement was associated with lower body mass index. Funding Sources None.

scholarly journals Body mass index, asthma, and respiratory symptoms: a population-based study

2020 ◽  
Vol 46 (1) ◽  
Author(s):  
Elaine Cristina Caon de Souza ◽  
Marcia Margaret Menezes Pizzichini ◽  
Mirella Dias ◽  
Maíra Junkes Cunha ◽  
Darlan Lauricio Matte ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Respiratory Symptoms ◽  
Family Income ◽  
Smoking Status ◽  
Demographic Data ◽  
Population Based ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Cross Sectional

ABSTRACT Objective: To estimate the prevalence of respiratory symptoms and asthma, according to body mass index (BMI), as well as to evaluate factors associated with physician-diagnosed asthma, in individuals ≥ 40 years of age. Methods: This was a population-based cross-sectional study conducted in Florianópolis, Brazil, with probability sampling. Data were collected during home visits. Demographic data were collected, as were reports of physician-diagnosed asthma, respiratory symptoms, medications in use, and comorbidities. Anthropometric measurements were taken. Individuals also underwent spirometry before and after bronchodilator administration. Individuals were categorized as being of normal weight (BMI < 25 kg/m2), overweight (25 kg/m2 ≥ BMI < 30 kg/m2), or obese (BMI ≥ 30 kg/m2). Results: A total of 1,026 individuals were evaluated, 274 (26.7%) were of normal weight, 436 (42.5%) were overweight, and 316 (30.8%) were obese. The prevalence of physician-diagnosed asthma was 11.0%. The prevalence of obesity was higher in women (p = 0.03), as it was in respondents with ≤ 4 years of schooling (p < 0.001) or a family income of 3-10 times the national minimum wage. Physician-diagnosed asthma was more common among obese individuals than among those who were overweight and those of normal weight (16.1%, 9.9%, and 8.0%, respectively; p = 0.04), as were dyspnea (35.5%, 22.5%, and 17.9%, respectively; p < 0.001) and wheezing in the last year (25.6%, 11.9%, and 14.6%, respectively; p < 0.001). These results were independent of patient smoking status. In addition, obese individuals were three times more likely to report physician-diagnosed asthma than were those of normal weight (p = 0.005). Conclusions: A report of physician-diagnosed asthma showed a significant association with being ≥ 40 years of age and with having a BMI ≥ 30 kg/m2. Being obese tripled the chance of physician-diagnosed asthma.

Correlates of Leisure-Time Physical Activity Differ by Body-Mass-Index Status in Brazilian Adults

2008 ◽  
Vol 5 (4) ◽  
pp. 571-578 ◽  
Author(s):  
Pedro Curi Hallal ◽  
Felipe Fossati Reichert ◽  
Fernando Vinholes Siqueira ◽  
Samuel Carvalho Dumith ◽  
Juliano Peixoto Bastos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Education Level ◽  
Normal Weight ◽  
Cross Sectional

Objectives:The objective of this study was to evaluate physical activity (PA) levels in adults and their association with sex, age, and education level across categories of body mass index (BMI).Methods:We conducted a population-based, cross-sectional study including 3100 individuals age ≥20 years living in Pelotas, Brazil. PA was assessed using the leisure-time section of the long International Physical Activity Questionnaire. “No PA” was defined as zero minutes of activity/week; “insuffcient PA” was defined as <150 minutes of activity/week; “high PA” was defined as ≥500 minutes of activity/week. BMI was categorized into normal (<25 kg/m2), overweight (25–29.9 kg/m2), and obesity (≥30 kg/m2).Results:The prevalence of insufficient PA was 71.6% among normal BMI subjects, 71.3% among overweight individuals, and 73.7% among obese ones (P = .67). No PA and high PA were also not associated with BMI. The associations between sex, age, and education level and PA levels tended to be stronger among normal-weight individuals compared with overweight and obese individuals. Among the obese, most associations were not significant. Among normal-weight individuals, higher PA levels were observed in men, young adults, and those with higher education.Conclusions:Variables associated with leisure-time PA differed between normal-weight, overweight, and obese individuals. Studies on PA correlates might benefit from stratifying by BMI.

scholarly journals LDL-cholesterol and body mass index among Japanese schoolchildren: a population-based cross-sectional study

2013 ◽  
Vol 12 (1) ◽  
Author(s):  
Takako Shirasawa ◽  
Hirotaka Ochiai ◽  
Tadahiro Ohtsu ◽  
Rimei Nishimura ◽  
Aya Morimoto ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Ldl Cholesterol ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional
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