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

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.

2021 ◽  
Vol 50 (4) ◽  
pp. 306-314
Author(s):  
Kumarasan Roystonn ◽  
Edimansyah Abdin ◽  
Rajeswari Sambasivam ◽  
Yunjue Zhang ◽  
Sherilyn Chang ◽  
...  

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


2011 ◽  
Vol 6 (2) ◽  
pp. 164-171 ◽  
Author(s):  
Julie Gast ◽  
Hala Madanat ◽  
Amy Campbell Nielson

The purpose of this study was to determine where men fall on the motivation continuum based on intuitive eating status and if motivation for physical activity and intuitive eating are correlated. Results indicate that being an intuitive eater was associated with a lower body mass index. In terms of demographic variables, as age increased, intuitive eating status decreased and body mass index increased. Men scored high on the antidieting and self-care subscales of the Intuitive Eating Scale. Men who were classified as intuitive eaters scored higher on the external and introjected regulation of the Behavioral Regulation in Exercise Questionnaire but no significant differences were reported by eating status and the identified and intrinsic motivation subscales. Intuitive eating holds promise as a weight management and weight loss tool for men. Intuitive eating may also influence initial motivation for physical activity for men.


2003 ◽  
Vol 88 (12) ◽  
pp. 5914-5920 ◽  
Author(s):  
Yumi Matsushita ◽  
Tetsuji Yokoyama ◽  
Nobuo Yoshiike ◽  
Yasuhiro Matsumura ◽  
Chigusa Date ◽  
...  

Abstract The β3-adrenergic receptor (ADRB3) is expressed mainly in visceral adipose tissue and is thought to contribute to lipolysis and the delivery of free fatty acids to the portal vein. Although many studies have examined the relationship between the Trp64Arg mutation of ADRB3 and obesity, the results have been inconsistent. We examined the cross-sectional relationship of ADRB3 variants with indexes of obesity, and their longitudinal changes over 10 yr, in men and women, aged 40–69 yr, who were randomly selected from the Japanese rural population. The study considered both dietary energy intake and physical activity levels. Among the 746 participants, the genotype frequencies of the Trp64Trp, Trp64Arg, and Arg64Arg variants were 483, 224, and 39, respectively. The cross-sectional analysis showed no significant differences in height, weight, body mass index, blood pressure, serum total and high density lipoprotein cholesterols, and hemoglobin A1c among the genotype groups even after adjustments for gender, age, smoking, alcohol drinking, physical activity, and energy intake. No significant differences in the weight changes between the genotype groups were evident in the longitudinal analysis. We conclude that the Trp64Arg mutation of ADRB3 has little or no influence on either body weight or body mass index in the general Japanese population.


Author(s):  
Maria do Socorro Simoes ◽  
Fernando Wehrmeister ◽  
Marcello Romiti ◽  
Antonio de Toledo Gagliardi ◽  
Rodolfo Arantes ◽  
...  

We investigated if cardiorespiratory fitness modifies the association between obesity and the level of physical activity. In this cross-sectional study, we analyzed data from 746 adults, free of diagnosed cardiorespiratory or locomotor diseases. We analyzed sociodemographic and clinical information, cardiovascular risk factors, cardiorespiratory fitness, anthropometry, and level of physical activity (time spent in moderate-to-vigorous physical activity). Those that spent more time in moderate-to-vigorous physical activity were younger, male, with lower body mass index, without self-reported arterial blood hypertension, diabetes and dyslipidemia, non-smokers, and presented with better cardiorespiratory fitness. The linear regression coefficients showed that cardiorespiratory fitness changes according to the level of physical activity and body mass index (obesity in low cardiorespiratory fitness: β 6.0, p = 0.213, 95%CI -3.5 to 15.6; in intermediate cardiorespiratory fitness: β 6.3, p = 0.114, 95%CI -1.5 to 14.2; in high cardiorespiratory fitness: β -6.3, p = 0.304, 95%CI -18.4 to 5.8). This effect modification trend was present after adjusting the model by covariates. Cardiorespiratory fitness potentially modifies the association between body mass index and the level of physical activity. It should be routinely assessed to identify persons with overweight/ obesity with low/ intermediate cardiorespiratory fitness to prescribe individualized training.


2017 ◽  
Vol 27 (1) ◽  
pp. 56 ◽  
Author(s):  
Willian R. Tebar ◽  
Luiz Carlos M. Vanderlei ◽  
Catarina C. Scarabotollo ◽  
Edner F. Zanuto ◽  
Bruna T. C. Saraiva ◽  
...  

Objectives: The aim of this study was to determine the prevalence of abdominal obesity and its associated factors among adolescents, independent of confounders. Method: A sample of 14–17-year-old individuals (n=1.231), who were students from Londrina/PR-Brazil public schools, was studied. A questionnaire about physical activity, sedentary behaviour and socioeconomic conditions was applied. Anthropometry was composed of body weight (kg), height (m), body mass index (BMI=kg/m²) and waist circumference (cm). The association of abdominal obesity and independent variables was assessed using the chi-square test and the magnitude of associations was verified using Binary Logistic Regression in an unadjusted model and adjusted for confounders (gender, age, socioeconomic status, physical activity and sedentary behaviour). The confidence interval and statistical significance were set at 95% and 5%, respectively, using SPSS v15.0. Results: The abdominal obesity prevalence was 17.5% (CI = 15.4%–19.6%), and was higher in boys than in girls. Adolescents with abdominal obesity had higher values of body weight, height, body mass index and sedentary behaviour compared to eutrophic individuals. Being male increased the risk of abdominal obesity by 36% in adolescents. This risk was two times higher in those with high levels of sedentary behaviour. Conclusion: Abdominal obesity was significantly associated with gender and high levels of sedentary behaviour, regardless of confounding factors. Lifestyle habits are important modifiable risk factors that can effectively contribute to the reduction of obesity from an early age.


Author(s):  
Hossein Sourtiji ◽  
Mehdi Rassafiani ◽  
Seyed Ali Hosseini ◽  
Mohammad Esmaeil Motlagh ◽  
Mehdi Noroozi

Today, due to recent developments in technology, children devote plenty of time for screen viewing. However, its harmful effects are not yet clear. The purpose of present study was to examine the associations among screen viewing and sleep duration, and body mass index (BMI) in under-five years old children. This cross-sectional study was conducted with 322 under-five healthy children that were selected using multistage stratified cluster sampling method in 2017. The data that were gathered by time-use diary method were analyzed using Kolmogorov-Smirnov test, Spearman correlation tests, multiple linear regression analysis, one-way ANCOVA, two-way ANCOVA. There was a negative correlation between screen time and sleep duration (rs = -0.42, p = 0.00), positive correlation between screen time and BMI (rs = 0.38, p = 0.00) and sleep duration negatively correlated with BMI (rs = -0.22, p = 0.00). screen viewing was a predictive factor for both sleep duration (&beta; = -0.26, p = 0.00) and BMI (&beta; = -0.26, p = 0.00). screen viewing had a significant impact on sleep duration (4, 314) = 5.02, P = 0.001) and BMI (F (4, 314) = 1.16, P=0.298). Results of this study indicated that screen viewing is related to sleep duration and BMI in under-five children. furthermore, screen time has an impact on sleep duration and BMI scores of children. findings of our study suggest that sleep duration negatively is associated with BMI in under-five-year-old children.


MEDIKORA ◽  
2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Prijo Sudibjo ◽  
Novita Intan Arovah ◽  
Rachmah Laksmi Ambardini

Mahasiswa Program Studi Pendidikan Kepelatihan Olahraga Fakultas Ilmu Keolahragaan dipersiapkan menjadi pelatih yang kompeten. Salah satu kompetensi yang diperlukan oleh pelatih adalah pemahaman dan keterampilan dalam pengukuran tingkat aktivitas fisik, status kecukupan energi dan status antropometrik. Tujuan penelitian ini adalah untuk mengetahui dan memahami pengukuran level aktivitas fisik, status kecukupan energy, dan status antropometrik mahasiswa Program Studi Pendidikan Kepelatihan Olahraga FIK UNY. Penelitian ini merupakan penelitian observasi cross sectional pada 30 mahasiswa Program Stusi Pendidikan Kepelatihan Olahraga FIK UNY yang telah menempuh mata kuliah Anatomi. Pengukuran tingkat pemahaman dilaksanakan dengan metode tes. Level aktivitas fisik diukur dengan kuesioner IPAQ (International Physical Activity Questionnaire), status kecukupan energi diukur dengan membagi antara asupan kalori dibagi dengan kebutuhan kalori, dan status antropometris dinilai dengan menggunakan rumus BMI (body mass index) dansomatotype berdasarkan Health Charter Manual. Data diolah secara deskriptif dan korelatif menggunakan analisis Korelasi Pearson untuk melihat hubungan antara tingkat pemahaman dan status level aktivitas fisik, status kecukupan energy, dan status antropometrik dengan program SPSS. Hasil penelitian menunjukkan bahwa pada semua mahasiswa Program Studi Pendidikan Kepelatihan Olahraga FIK UNY mempunyai level aktivitas fisik yang baik (skor IPAQ rata-rata 7248,13 ± 2420,58 METS), dan status kecukupan energi yang baik pula (rata-rata kecukupan energi sebesar 96,62 ± 19,81%). Di sisi lain, status gizi pada 90 % mahasiswa menunjukkan kriteria yang normal. Uji Korelasi Pearson menunjukkan adanya korelasi positif yang sangat kuat antara tingkat pemahaman level aktivitas fisik dan level aktivitas fisik (korelasi 0.902 dan p < 0,05), namun tidak terbukti adanya korelasi yang signifikan (p > 0,05) antara tingkat pemahaman dan status kecukupan energi dan status gizi yang secara berurutan didapatkan nilai korelasi sebesar 0,27 dan 0,048.Kata Kunci: level aktivitas fisik, status kecukupan energi, status antropometrik


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.


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