Eating behavior affects cardio-metabolic risk in high school teenagers in a developing country

BACKGROUND Modernization negatively changes lifestyle, characterized by excessive eating and reduced energy consumption, and concurrently increases the cardiometabolic risk. This study was aimed to evaluate the association between eating behavior and cardio-metabolic risk factors including body mass index (BMI) in percentile, blood pressure (BP) in percentile, waist circumference, and heart rate in total subjects and gender sub-groups. METHODS This analytical cross-sectional study was done from July to November 2018. High schools in four provinces of Indonesia and students were selected using purposive sampling. Subjects’ profiles were collected from interview and cardio-metabolic parameters were measured at the study sites. Data were analyzed with chi-square and independent t-test. RESULTS Subjects who were overweight/obese and had high BP accounted for 27.1% and 9.3–12.0% of the total subjects (n = 768), respectively. Subjects who having breakfast tended to have lower BMI (p = 0.006), and the lower consumption of western meals had lower heart rate (p = 0.02). Male subjects had more meal frequency and had less quantity of snacks than female subjects (p<0.001). Male subjects with routine intake of vegetables had low heart rate (p = 0.03). Female subjects with routine breakfast had better BMI (p<0.001), and lower diastolic BP (p = 0.004) and waist circumference (p = 0.02), whereas those who consumed Western meals had higher heart rate (p = 0.046) and waist circumference (p = 0.001). CONCLUSIONS Eating behaviors are likely to affect cardio-metabolic risk factors, and the effects vary within gender groups.

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Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094667 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4667

Author(s):

Meizi Wang ◽

Jianhua Ying ◽

Ukadike Chris Ugbolue ◽

Duncan S. Buchan ◽

Yaodong Gu ◽

...

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

South Asian ◽

Metabolic Risk Factors ◽

Individual Risk ◽

Metabolic Risk ◽

Asian Adolescents ◽

Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

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Waist-to-height ratio, body mass index and waist circumference for screening paediatric cardio-metabolic risk factors: a meta-analysis

Obesity Reviews ◽

10.1111/obr.12456 ◽

2016 ◽

Vol 17 (12) ◽

pp. 1258-1275 ◽

Cited By ~ 74

Author(s):

K. Lo ◽

M. Wong ◽

P. Khalechelvam ◽

W. Tam

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Meta Analysis ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Height Ratio ◽

Waist To Height Ratio

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Vitamin D status and associated metabolic risk factors among North Korean refugees in South Korea: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2015-009140 ◽

2015 ◽

Vol 5 (11) ◽

pp. e009140 ◽

Cited By ~ 11

Author(s):

Kyeong Jin Kim ◽

Yoon Jung Kim ◽

Sun Hwa Kim ◽

Jee Hyun An ◽

Hye Jin Yoo ◽

...

Keyword(s):

Risk Factors ◽

Vitamin D ◽

South Korea ◽

Cross Sectional Study ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Vitamin D Status ◽

Sectional Study ◽

Cross Sectional ◽

North Korean Refugees

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Metabolic Risk Factors and Associated Morbidities among Adult Urban People in Pyin Oo Lwin Township

Myanmar Health Sciences Research Journal ◽

10.34299/mhsrj.00931 ◽

2019 ◽

Vol 31 (2) ◽

pp. 105-110

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Age Distribution ◽

Metabolic Risk Factors ◽

P Value ◽

Metabolic Risk ◽

Cross Sectional ◽

Total Prevalence ◽

Significant Difference ◽

Urban People

Metabolic syndrome is a cluster of risk factors for type 2 diabetes and cardiovascular disease, with insulin resistance proposed as a linking factor. It is common and is increasing in prevalence worldwide, largely attributed to increasing obesity and sedentary lifestyles, and now is both a public health and clinical problem. This community-based, cross-sectional descriptive study was conducted during 2015 to identify metabolic risk factors and associated morbidities among adult urban people in Pyin Oo Lwin Township. A total of 355 participants, 94 men (26.5%) and 261 women (73.5%) were enrolled. Age distribution was from 18 to 85 years with mean of 49.98 (SD:15.22) years. Metabolic risk factors were identified according to National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) guideline. In this study, central obesity was the highest component with 145 subjects (40.8%) followed by elevated triglycerides 129(36. 3%), elevated blood pressure 104(29.3%), low HDL-cholesterols 85(23.9%), and elevated fasting glucose in only 48 individuals (13.5%). The total prevalence of metabolic syndrome was 35.2% with 26.6% in men and 38.3% in women, respectively. There were statistically significant associations above all five metabolic risk factors with metabolic syndrome (p value <0.001). Regarding its associated morbidities, ECG examinations showed normal 296 cases (83.4%) and abnormal in 59 cases (16.6%) but there was no significant difference between metabolic syndrome and abnormal ECG findings. In conclusion, this study recognizes the high prevalence rate of metabolic syndrome and can be depicted about the metabolic risks as the baseline data for implementation of further activities to reduce the incidence of non-communicable diseases.

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Impact of age, body weight and metabolic risk factors on steroid reference intervals in men

Acta Endocrinologica ◽

10.1530/eje-19-0928 ◽

2020 ◽

Vol 182 (5) ◽

pp. 459-471

Author(s):

Marco Mezzullo ◽

Guido Di Dalmazi ◽

Alessia Fazzini ◽

Margherita Baccini ◽

Andrea Repaci ◽

...

Keyword(s):

Risk Factors ◽

Reference Intervals ◽

Metabolic Risk Factors ◽

Specific Reference ◽

Metabolic Risk ◽

Cross Sectional ◽

Cholesterol Ratio ◽

Age Related ◽

Reference Limits ◽

17 Hydroxyprogesterone

Objective To evaluate the independent impact of age, obesity and metabolic risk factors on 13 circulating steroid levels; to generate reference intervals for adult men. Design Cross-sectional study. Methods Three hundred and fifteen adults, drug-free and apparently healthy men underwent clinical and biochemical evaluation. Thirteen steroids were measured by LC-MS/MS and compared among men with increasing BMI. Moreover, the independent impact of age, BMI and metabolic parameters on steroid levels was estimated. Upper and lower reference limits were generated in steroid-specific reference sub-cohorts and compared with dysmetabolic sub-cohorts. Results We observed lower steroid precursors and testosterone and increase in estrone levels in men with higher BMI ranges. By multivariate analysis, 17-hydroxyprogesterone and dihydrotestosterone decreased with BMI, while cortisol decreased with waist circumference. Estrone increased with BMI and systolic blood pressure. Testosterone decreased with worsening insulin resistance. 17-hydroxypregnenolone and corticosterone decreased with increasing total/HDL-cholesterol ratio. Age-related reference intervals were estimated for 17-hydroxypregnenolone, DHEA, 17-hydroxyprogesterone, corticosterone, 11-deoxycortisol, cortisol and androstenedione, while age-independent reference intervals were estimated for progesterone, 11-deoxycorticosterone, testosterone, dihydrotestosterone, estrone and estradiol. Testosterone lower limit was 2.29 nmol/L lower (P = 0.007) in insulin resistant vs insulin sensitive men. Furthermore, the upper limits for dihydrotestosterone (−0.34 nmol/L, P = 0.045), cortisol (−87 nmol/L, P = 0.045–0.002) and corticosterone (−10.1 nmol/L, P = 0.048–0.016) were lower in overweight/obese, in abdominal obese and in dyslipidaemic subjects compared to reference sub-cohorts, respectively. Conclusions Obesity and mild unmedicated metabolic risk factors alter the circulating steroid profile and bias the estimation of reference limits for testosterone, dihydrotestosterone, cortisol and corticosterone. Applying age-dependent reference intervals is mandatory for steroid precursors and corticosteroids.

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Increased Prevalence of Nephrolithiasis and Hyperoxaluria in Paget Disease of Bone

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgaa576 ◽

2020 ◽

Vol 105 (12) ◽

pp. e4430-e4438 ◽

Cited By ~ 1

Author(s):

Domenico Rendina ◽

Gianpaolo De Filippo ◽

Daniela Merlotti ◽

Marco Di Stefano ◽

Christian Mingiano ◽

...

Keyword(s):

Risk Factors ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Cross Sectional ◽

Metabolic Complications ◽

Multicentric Study ◽

Paget Disease Of Bone ◽

Paget Disease ◽

Metabolic Bone ◽

Metabolic Complication

Abstract Context Nephrolithiasis (NL) and primary hyperparathyroidism (HPTH) are metabolic complications of Paget disease of bone (PDB), but recent data regarding their prevalence in PDB patients are lacking. Objectives Study 1: To compare the prevalence of primary HPTH and NL in 708 patients with PDB and in 1803 controls. Study 2: To evaluate the prevalence of NL-metabolic risk factors in 97 patients with PDB and NL, 219 PDB patients without NL, 364 NL patients without PDB, and 219 controls, all of them without HPTH. Design Cross-sectional multicentric study. Setting Italian referral centers for metabolic bone disorders. Participants Patients with PDB from the Associazione Italiana malati di osteodistrofia di Paget registry. Participants in the Olivetti Heart and the Siena Osteoporosis studies. Main Outcome Measures HPTH; NL; NL-metabolic risk factors. Results Patients with PDB showed higher prevalence of primary HPTH and NL compared with controls (P < 0.01). The NL recurrence occurs more frequently in patients with polyostotic PDB. About one-half of patients with PDB but without NL showed 1 or more NL-related metabolic risk factors. The hyperoxaluria (HyperOx) prevalence was higher in patients with PDB and NL compared with patients with NL but without PDB and in patients with PDB without NL compared with controls (P = 0.01). Patients with PDB and HyperOx showed a longer lapse of time from the last aminobisphosphonate treatment. Conclusions NL and HPTH are frequent metabolic complication of PDB. The NL occurrence should be evaluated in patients with PDB, particularly in those with polyostotic disease and/or after aminobisphosphonate treatment to apply an adequate prevention strategy.

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