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 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 Use of physical activity and cardiorespiratory fitness in identifying cardiovascular risk factors in male brazilian adolescents

2016 ◽  
Vol 18 (6) ◽  
pp. 678
Author(s):  
Lilian Messias Sampaio Brito ◽  
Luis Paulo Gomes Mascarenhas ◽  
Deise Cristiane Moser ◽  
Ana Cláudia Kapp Titski ◽  
Monica Nunes Lima Cat ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
High Blood Pressure ◽  
Abdominal Obesity ◽  
Age Groups ◽  
Cross Sectional ◽  
The Impact

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n6p678 The aim of this study was to investigate the impact of physical activity (PA) and cardiorespiratory fitness (CRF) levels on the prevalence of overweight and high blood pressure levels in adolescents. In this observational, cross-sectional study, 614 boys aged 10-14 years were assessed for height, body mass, body mass index (BMI), waist circumference (WC) and blood pressure (BP). CRF was assessed using a run test (Léger Test) and subjects were then grouped according to their CRF level. PA level was assessed through a questionnaire (The Three Day Physical Activity Recall) and classified into two groups, namely > 300 minutes of PA/week and < 300 minutes of PA/week. Maturational stage was evaluated according to the development of pubic hair (self-assessment) as proposed by Tanner. We used statistical descriptive analysis, univariate and multivariate analyses in the total participants and subjects were divided by age. Fifty percent of the sample performed < 300 minutes of PA/week and 67.6% had unsatisfactory CRF levels. There was a higher prevalence of unsatisfactory CRF levels among subjects with altered BMI (overweight), WC (abdominal obesity) or BP (high blood pressure) for all age groups. PA history, however, did not show any significance. A total of 31% of participants were overweight, 24.8% had abdominal obesity and 15.4% had increased BP. Unsatisfactory CRF levels were found to be a better predictor for the diagnosis of cardiovascular diseases (CV) risk factors than PA history, regardless of age group. 

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 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 Differences Between Dietary, Drinking Habits and Physical Activity of the Adult Population Living in Two Distinct Geographic Areas of Romania

2018 ◽  
Vol 69 (11) ◽  
pp. 3100-3105
Author(s):  
Iosif Balint ◽  
Sandor Pal ◽  
Lorand Ferencz ◽  
Zoltan Abram
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Body Mass Index ◽  
Alcohol Consumption ◽  
General Population ◽  
Body Mass ◽  
Dietary Habits ◽  
Adult Population ◽  
Modern Society ◽  
Significant Difference

The constantly and intensely changing modern society has a negative influence on the the general population�s health status. Risk factors being deeply inserted in the structure of the modern society can hardly be influenced and corrected. The aim of the study was the lifestyle- and diet-related comparison of two distinct adult populations from Romania: Bacau and Tirgu Mures. Material and methods: We evaluated the dietary habits, alcohol consumption and physical activity by a complex, validated questionnaire. Body mass index was also determined. The adult population from Tirgu Mures numbered 352 subjects, who were compared to the adults from Bacau, numbering 231 individuals. The considered threshold of significance was 0.05. Body mass index is over the normal range in more than 2/3 of the subjects. The overweight occurrence was 37.95%. The majority of the subjects (77.5%) has regular daily exercise (30 minutes or more). Daily alcohol consumption was present in 42.42% of the cases. Dietary habits were also analyzed: 61.9% of the subjects consume breakfast daily, and 46.94% of them consumes snacks between meals 2-3 times per week. A statistical difference could be observed regarding the frequency of breakfast consumption and body mass index (p-0.042): 2/3 of the studied adults from Tirgu Mures who eat breakfast sometimes having their body mass index over 25 kg/m2. Regarding physical activity a significant difference could be observed in case of those who responded rarely or never (p-0.027) (76.0% of Mures county with this response vs. only 24.0% in Bacau). The frequency of alcohol consumption is higher in Tirgu Mures and surroundings in case of once or several times per week consumption (p-0.005). Instructional and educational interventions targeting the development of healthier lifestyle habits in general population are worthy and needed to reduce the risk factors associated with the development of cardiovascular and metabolic diseases and reducing the burden upon the society of these diseases.

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 ◽  
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 4,422 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.

Haematocrit: Relationships with Blood Lipids, Blood Pressure and other Cardiovascular Risk Factors

1994 ◽  
Vol 72 (01) ◽  
pp. 058-064 ◽  
Author(s):  
Goya Wannamethee ◽  
A Gerald Shaper
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Alcohol Intake ◽  
Blood Lipids ◽  
The Other ◽  
The Relationship

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.

scholarly journals The role of physical activity on cardiovascular risk factors in adolescents

2010 ◽  
Vol 50 (4) ◽  
pp. 220
Author(s):  
Nadia Dwi Insani ◽  
Sukman Tulus Putra ◽  
Agus Firmansyah
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
High Activity ◽  
Blood Lipid ◽  
Waist To Hip Ratio ◽  
Activity Group

Background Cardiovascular diseases remain the leading cause of death worldwide. Atherosclerotic process increases rapidly during adolescence. Physical activity is considered important in this period to modify cardiovascular risk factors, thus preventing disease in the future.Objective To determine whether different physical activity status in adolescence can influence body mass index (BMBMI), waist-to-hip ratio, blood pressure (BP), and blood lipid profile.Methods This was a cross-sectional descriptive study, conducted from December 2009 to January 2010. Adolescents who fulfilled the study criteria were classified into high and low physical activity category. Further examination including body mass index, waist-to-hip ratio, blood pressure, and blood lipid profile were performed.Results Adolescents with high physical activity had higher, but statistically insignificant, BMBMI compared to adolescents in the P=0.493] and significantly lower waist-to-hip ratio [0.80 (range 0.73-0.9) vs.. 0.82 (range 0.7-0.9), P=0.019]. Difference in BP was not statistically significant between both groups [diastolic BP (70 (range 60-90) mmHg vs. 70 (range 60-90) mmHg, P=0.148; systolic BP 100 (range 90-130) mmHg vs. 100 (range 90-140) mmHg, P=0.228)]. Blood lipid examination in the high activity group showed significantly higher HDL cholesterol and lower triglyceride compared to the low activity group [HDL 59.8 (SD 11.8) mg/dL vs. 54.7 (SD 8.9) mg/dL; p=0.044; triglyceride: 60 (range 32-203) mmHg vs. 82 (range 37-198) mmHg, P=0.014]. Total and LDL cholesterol [total cholesterol 169.8 (SD 28.6) mmHg vs. 181.2 (SD 30.8) mmHg, P=0.107; LDL 103.6 (SD 26.8) mmHg vs. 114.1 (SD 27.3) mmHg, P=0.100] were lower in the high activity group but not statistically different in both groups.Conclusions Adolescents with high physical activity show less cardiovascular risk factors compared to those in the low physical activity group.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

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