Trends of diabetes according to body mass index levels in Iran: results of the national Surveys of Risk Factors of Non-Communicable Diseases (1999-2007)

2010 ◽  
Vol 27 (11) ◽  
pp. 1233-1240 ◽  
Author(s):  
A. Esteghamati ◽  
H. Ashraf ◽  
O. Khalilzadeh ◽  
A. Rshidi ◽  
K. Mohammad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Communicable Diseases ◽  
Non Communicable Diseases ◽  
National Surveys

scholarly journals Socioeconomic Inequalities in Hypertension in Kenya: A Decomposition Analysis of 2015 Kenya STEPwise Survey on Non-communicable Diseases Risk Factors

2020 ◽  
Author(s):  
Samwel Maina Gatimu ◽  
Thomas Wiswa John
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Socioeconomic Factors ◽  
Body Mass ◽  
Concentration Index ◽  
Socioeconomic Inequality ◽  
Communicable Diseases ◽  
Socioeconomic Inequalities ◽  
Non Communicable Diseases

Abstract IntroductionOne in four Kenyans have raised blood pressure. Despite this high prevalence of hypertension and known association between socioeconomic status and hypertension, there is a paucity of evidence on inequality in raised blood pressure in Kenya. Hence, we quantified the socioeconomic inequality in hypertension in Kenya and decomposed the determinants contributing to such inequality.MethodsWe used data from the 2015 Kenya STEP wise survey for non-communicable diseases risk factors. We included 4,398 respondents aged 18–69 years. We estimated the socioeconomic inequality using the concentration index (C) and decomposed the C using Wag staff decomposition analysis.ResultsThe overall concentration index of hypertension in Kenya was − 0.08 (95% CI: −0.14, − 0.02; p = 0.007), showing socioeconomic inequalities in hypertension disfavouring the poor population. Half (52.8%) of the pro-rich inequalities in hypertension was explained by body mass index (52.8%) while 21.1% by socioeconomic factors (paid employment (9.3%), education (7.7%) and poorest wealth quintile (4.1%)) and 17.6% by demographic factors (female gender (11.8%), age (5.2%) and marital status (0.6%)). Regional differences explained 8.1% of the estimated inequality with the Central region alone explaining 6.9% of the observed inequality. Our model explained 98.3% of the estimated socioeconomic inequality in hypertension in Kenya with a small non-explained part of the inequality (− 0.001).ConclusionThe present study shows substantial socioeconomic inequalities in hypertension in Kenya, mainly explained by metabolic risk factors (body mass index), individual health behaviours, and socioeconomic factors. Kenya needs gender- and equity-focused interventions to curb the rising burden of hypertension and inequalities in hypertension.

scholarly journals The Comparability of Lipid-based and Body Mass Index-based Cardiovascular Disease Risk Scores: Using the Rwanda 2012-2013 Non-communicable Diseases Risk Factors Survey Data

2021 ◽  
Vol 4 (1) ◽  
pp. 166-184
Author(s):  
Jean Berchmans Niyibizi ◽  
Okop Kufre Joseph ◽  
Levitt Naomi ◽  
Stephen Rulisa ◽  
Seleman Ntawuyirushintege ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Disease Risk ◽  
Communicable Diseases ◽  
Risk Scores ◽  
P Value ◽  
Cvd Risk ◽  
Non Communicable Diseases ◽  
Study Participants

Background In Rwanda, cardiovascular diseases (CVDs) ranked second of the most common cause of death in 2016.  CVD risk score tools have been recommended to identify people at high risk for management. Objective To assess the comparability of body mass index (BMI)-based and lipid-based CVD risk scores in Rwandan population. Methods Secondary analysis was conducted on 4185 study participants extracted from the dataset of Rwanda 2012-2013 non-communicable diseases risk factors survey. Individual CVD risk scores were calculated using both BMI-based and lipid-based algorithms, one at a time. Spearman rank’s coefficient and Cohen’s Kappa coefficient were used to compare the two tools. Results About 63.5% of participants were women. There was a significant positive correlation between BMI-based algorithm and lipid-based algorithm vis-à-vis a 10-year CVD risk prediction (Spearman rank correlation coefficients > 0.90, p<0.001) considering either men, women or overall study participants. There was a moderate agreement between BMI-based and lipid-based algorithms vis-à-vis CVD risk characterization, kappa = 0.52; p-value p<0.001 considering either overall study participants or men and kappa = 0.48; p-value p<0.001 considering women. Conclusion The findings from this study suggest the use of BMI-based algorithm, a cost effective tool compared to lipid-based tool, can be alternatively used in resource-limited settings.  Rwanda J Med Health Sci 2021;4(1):166-184

scholarly journals Prevalence and Determinants of High Blood Pressure among Adolescents: A School based Study in Rural Area of Hooghly District, West Bengal

2021 ◽  
Vol 8 (11) ◽  
pp. 205-210
Author(s):  
Malay Kumar Das ◽  
Rabindranath Sinha ◽  
Aparajita Dasgupta
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Food Intake ◽  
Alcohol Consumption ◽  
Body Mass ◽  
High Blood Pressure ◽  
Fast Food ◽  
Non Communicable Diseases

Introduction: The World Health Organization has already warned of increasing non-communicable diseases among adolescents as a major public health problem. The importance of this age group also lies in the fact that many serious diseases in adulthood have their roots in adolescence. Method: A pre-designed and pre-tested questionnaire was used in class-room setting to collect information from students regarding presence of risk factors of non-communicable diseases. The respondents were also subjected to anthropometric measurements and blood pressure examination using standard operating procedures. Results: A total of 761 students of class VI-XII participated in the study of which 61.4% were boys and rests were girls. High blood pressure among boys and girls were 19.9% and 22.1% were respectively. In Bivariate analysis age > 15 years (median) (OR= 2.11), fast food intake (>3 times/week) (OR= 1.66), Alcohol consumption (OR= 2.22), less physical activity (OR=1.54), increased body mass index (OR=2.53), significantly associated with high blood pressure. In Multivariate analysis age (AOR= 2.25), fast food intake (AOR= 1.50), Alcohol consumption (OR= 2.23), less physical activity (AOR=1.71), increased body mass index (AOR=2.42) remains significant predictor. Conclusion: Detecting the risk factors of high blood pressure prevalent in the population is of utmost importance to achieve a healthy population. Formulation and dissemination of need--based, culturally acceptable and age appropriate scientific messages for school students should be conducted more proactively. Keywords: Adolescents, Blood pressure, Risk factor, Rural school.

scholarly journals OBESITY IN RUSSIAN POPULATION — PREVALENCE AND ASSOCIATION WITH THE NON-COMMUNICABLE DISEASES RISK FACTORS

2018 ◽  
pp. 123-130 ◽  
Author(s):  
Yu. A. Balanova ◽  
S. A. Shalnova ◽  
A. D. Deev ◽  
A. E. Imaeva ◽  
A. V. Kontsevaya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass ◽  
Close Relation ◽  
Communicable Diseases ◽  
Russian Population ◽  
Systemic Hypertension ◽  
Epidemiological Methods ◽  
Non Communicable Diseases ◽  
Prevalence Of Obesity ◽  
Regions Of Russia

Aim. Evaluation of the prevalence of obesity and association with the risk factors of chronic non-communicable diseases of the inhabitants of selected regions of Russia, by the data from ESSE-RF study.Material and methods. Representative selections investigated, of the inhabitants of 13 regions of Russia, totally 21768 participants, males n=8 304, females n=13 464, age 25-64 y. o., under the circumstances of the study “Epidemiology of cardiovascular diseases (ESSE-RF)”, with response ~80%. Standard questionnaire, consisting 12 modules, was developed based upon adapted international methods. For the risk factors prevalence assessment, the standard epidemiological methods were applied. Body mass (BM) was evaluated in the categories of body mass index (BMI) (Ketle index: BMI — Body mass, kg / height, m2). BM as BMI was evaluated as insufficient (BMI <18,5), normal (18,5≤ BMI ≤24,9), overweight (25,0≤ BMI ≤29,9), obesity grade I (30,0 ≤BMI ≤34,9), obesity grade II (35,0 ≤BMI ≤39,9) and obesity grade III (BMI ≥40,0). Abdominal obesity (AO) was assessed with the criteria: for males waist circumference (WC) ≥102 cm and for females ≥88 cm.Results. Mean BMI value among the participants was 27,6 kg/m2, with no gender difference. BMI increases with the age only in women. WC — 87,8 cm ±0,1, among males it was significantly higher than in females (92,9 cm vs 84,1 cm, p<0,001), increasing with age. The prevalence of obesity was higher among females comparing to males: by BMI — 30,8% vs 26,9%, p<0,001; by AO — 38,4% vs 24,3%, p<0,001. The prevalence of obesity in female inhabitants of rural regions was significantly higher comparing to citizens (p<0,001), and in the group of higher education, there was no difference among males wither by BMI (p<0,005), or by AO (p<0,001). There was no clear geographic gradient of the risk factors. The prevalence of obesity increases linearly with the age, in males from 14,3% to 36,3%, p<0,001, and in females from 10,7% to 52,3%, p<0,001. AO was more prevalent in women comparing to men in every of analyzed age group, and with the age this difference gets more profound. In the multifactorial model the associations of risk factors were analyzed, with any type of obesity. Close relation was found for obesity and raised levels of glucose and triglycerides, with alcohol overconsumption. Most significant associations were found for obesity and AH in both genders — OR: 2,71 and 2,52 in men and women, respectively. There was linear increase of AH prevalence with mean SBP and DBP, together with BM.Conclusion. In Russian population, obesity is associated most closely with alcohol overconsumption, increased glucose level, lipid disorders and especially strongly — with systemic hypertension, the factors that increase prevalence with age. Burden of this closely interrelated factors on healthcare system will increase with the portion of elderly inhabitants of the country. State of affairs demand for a complex approach based on the governmental politics on the control of populational levels of bodyweight, beginning at elementary school, with mass-media involvement, as the groceries manufacturers, regional governments.

scholarly journals Socioeconomic inequalities in hypertension in Kenya: a decomposition analysis of 2015 Kenya STEPwise survey on non-communicable diseases risk factors

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Samwel Maina Gatimu ◽  
Thomas Wiswa John
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Socioeconomic Factors ◽  
Body Mass ◽  
Concentration Index ◽  
Socioeconomic Inequality ◽  
Decomposition Analysis ◽  
Socioeconomic Inequalities ◽  
Non Communicable Diseases

Abstract Background One in four Kenyans aged 18–69 years have raised blood pressure. Despite this high prevalence of hypertension and known association between socioeconomic status and hypertension, there is limited understanding of factors explaining inequalities in raised blood pressure in Kenya. Hence, we quantified the socioeconomic inequality in hypertension in Kenya and decomposed the determinants contributing to such inequality. Methods We used data from the 2015 Kenya STEPwise survey for non-communicable diseases risk factors. We included 4422 respondents aged 18–69 years. We estimated the socioeconomic inequality using the concentration index (C) and decomposed the C using Wagstaff decomposition analysis. Results The overall concentration index of hypertension in Kenya was − 0.08 (95% CI: − 0.14, − 0.02; p = 0.005), showing socioeconomic inequalities in hypertension disfavouring the poor population. About half (47.1%) of the pro-rich inequalities in hypertension was explained by body mass index while 26.7% by socioeconomic factors (wealth index (10.4%), education (9.3%) and paid employment (7.0%)) and 17.6% by sociodemographic factors (female gender (10.5%), age (4.3%) and marital status (0.6%)). Regional differences explained 7.1% of the estimated inequality with the Central region alone explaining 6.0% of the observed inequality. Our model explained 99.7% of the estimated socioeconomic inequality in hypertension in Kenya with a small non-explained part of the inequality (− 0.0002). Conclusion The present study shows substantial socioeconomic inequalities in hypertension in Kenya, mainly explained by metabolic risk factors (body mass index), individual health behaviours, and socioeconomic factors. Kenya needs gender- and equity-focused interventions to curb the rising burden of hypertension and inequalities in hypertension.

scholarly journals Assessment of Risk Factors for Overweight and Obesity: A Cross-Sectional Study among Rural School Going Children in Hooghly District, West Bengal

2021 ◽  
Vol 8 (11) ◽  
pp. 198-204
Author(s):  
Malay Kumar Das ◽  
Aparajita Dasgupta ◽  
Rabindranath Sinha
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Food Intake ◽  
Body Mass ◽  
High Blood Pressure ◽  
Fast Food ◽  
Overweight And Obesity ◽  
Non Communicable Diseases

Introduction: Intermediate school children are in the transition phase from adolescent to adulthood. This age group is known for experimentation and vulnerability to adopt lifestyles predisposing to non-communicable diseases. Method: A pre-designed and pre-tested questionnaire was used in class-room setting to collect information from students regarding presence of risk factors of non-communicable diseases. The respondents were also subjected to anthropometric measurements and blood pressure examination using standard operating procedures. Results: A total of 761 students of class VI-XII participated in the study of which 61.4% were boys and rests were girls. Increased body mass index among boys and girls were 12.6% and 11.6% were respectively. In Bivariate analysis fast food intake (>3 times/week) (OR=1.92), less physical activity (OR=1.86), high blood pressure (OR=2.53) were significantly associated with increased body mass index. In Multivariate analysis fast food intake (AOR=1.83), less physical activity (AOR= 1.94), high blood pressure (AOR=2.40) remains significant predictor. Conclusion: Therefore it is strongly felt that all efforts must be made to obviate the risk factors of overweight and obesity among the general mass at a very early age. Those efforts must be well structured, scientifically systematized and socially implementable. Keywords: Children, BMI, Risk factor, Rural school.

scholarly journals Microbiological Characteristics of Intestinal Biocenosis of Ambulator Patients Having Behavioral Risk Factors for Chronic Non-Communicable Diseases

2021 ◽  
Vol 11 (3) ◽  
pp. 217-224
Author(s):  
I. A. Krylova ◽  
V. I. Kupaev ◽  
A. V. Ljamin
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Health Status ◽  
Intestinal Microflora ◽  
Communicable Diseases ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Non Communicable Diseases ◽  
Suboptimal Health Status ◽  
Suboptimal Health

The earliest correction of behavioral risk factors for chronic non-communicable diseases will reduce the rates of premature mortality of the population. Currently, the relationship between the altered spectrum of intestinal microflora in various indicators of suboptimal health status and body mass index is not sufficiently studied. When they are in a state of suboptimal health status, patients consider themselves healthy and do not go to the doctor for a long time, which makes it difficult to implement early preventive measures in this group of patients. Goal. To determine the qualitative and quantitative composition of the intestinal microflora before and 1 month after taking a metaprebiotic complex containing dietary fiber (inulin) and oligosaccharides (oligofructose) in outpatient patients who consider themselves healthy, have behavioral risk factors for chronic non-communicable diseases or chronic non-communicable diseases in remission, and/or do not consult a doctor within the last 3 months. Materials and methods. Outpatient patients were examined (114 people: 36 men, 78 women aged 18 to 72 years). A survey was conducted, including a detailed active collection of complaints (including using the international SHSQ-25 questionnaire) and anamnesis, as well as a thorough physical examination with an anthropometric study. Using the MALDI-ToF mass spectrometry method, the degree of microbiotic disorders, the structure of the intestinal microflora were determined with the identification of microorganisms isolated from feces before and after taking the course of the metaprebiotic complex with various indicators of suboptimal status and body mass index. Results. New data were obtained on the intestinal biocenosis of patients who consider themselves healthy at different levels of suboptimal status. When using a metaprebiotic complex containing inulin and oligofructose, an improvement in the composition of the intestinal microflora was found due to a decrease in the frequency of release of conditionally pathogenic enterobacteria and other gram-negative microorganisms (median degree of contamination: from 0.45 (0.3-0.98) to 0.3(0.21-0.7) at low suboptimal status and from 0.5(0.7-1.7) to 0.31 (0.2-1.3) at high) and increase the frequency of enterococcal excretion (median degree of contamination: from 5,58 (4,16-7,0) tо 6,3 (4,8-7,8) at low suboptimal status and from от 4,5 (2,8-6,3) tо 5,1 (3,8-6,4) at high). Conclusion. The importance of studying the microbiotic complex of the intestine in increasing the indicators of suboptimal health status and body mass index in patients who consider themselves healthy is proved, which will allow for the earliest detection and rational individual prevention of chronic non-communicable diseases.

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