scholarly journals Trunk asymmetry at children aged 10-15 years: relation between amount of asymmetry and risk factors.

2017 ◽  
Vol 10 (19) ◽  
pp. 114-118
Author(s):  
Béla József Balla ◽  
Iacob Hanţiu
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Urban Area ◽  
Rural Area ◽  
Pearson Correlation ◽  
T Test ◽  
Trunk Rotation ◽  
Place Of Residence ◽  
Cross Sectional Survey ◽  
Trunk Asymmetry

Abstract Objective: This study focuses on the possible associations between the trunk asymmetry (TA) and different risk factors, such as: Body Mass Index (BMI), place of residence (rural/urban area), the gender of the subjects and the level of the physical activity. Methods: The data for this study was obtained from a cross-sectional survey of school children carried out in 2015 in Cluj-Napoca, Romania. In this study 487 pupils (260 boys and 227 girls) aged 10-15 years were included. The angle of trunk rotation (ATR) was obtained from scoliometer readings. The level of the physical activity was calculated from the Physical Activity Questionnaire for Older Children. The statistical analysis was carried out on the obtained mean values (independent sample t-test, paired-sample t-test, ANOVA), and the relation between variables was analyzed by the Pearson correlation coefficient. Results: In case of subjects from urban area the degree of TA was 2.75º(±2.85º), and in case of those from rural area 2.09º(±2.23º), t= 2.813, p = 0.005. The TA was lower in subjects who live in rural area, in houses: 2.07º(±2.21), than in case of those who live in flats in urban area: 2.86º(±2.94), (p = 0.032 ). The level of physical activity in case of boys is higher than in case of girls (boys 2.82±(0.68), girls 2.62(±0.67)). The Pearson correlation test did not find any correlation between the angle of trunk rotation and the level of physical activity: r= 0.000, p = 0.998. The degree of TA is higher in case of girls, than in case of boys (girls 2.88º(±2.91º), boys 2.19º(±2.38º)), t = - 2.601, p = 0.010. However, we found small correlation between the BMI and the TA in case of boys who have a degree of trunk asymmetry ≥5º: r = - 0.289, p = 0.044. Conclusions: The study revealed the lack of correlation between the TA and BMI, place of residence and the level of physical activity practiced. However, in case of boys we found a small correlation between the BMI and sever asymmetry.

scholarly journals Level aktifitas fisik dan faktor risiko penyakit kardiovaskuler pada karyawan kantor di universitas

2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Febriani Fajar Ekawati ◽  
Tri Winarti Rahayu ◽  
Hendrig Joko Prasetyo
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Pearson Correlation ◽  
Activity Level ◽  
Noncommunicable Diseases ◽  
Cross Sectional ◽  
University Employees

Noncommunicable Diseases (NCDs) merupakan salah satu penyebab kematian utama di dunia. Kurangnya aktivitas fisik dapat meningkatkan risiko penyakit ini. Meskipun telah banyak penelitian yang menyelidiki tentang hubungan aktivitas fisik dan faktor risiko penyakit kardiovaskuler, hanya terdapat beberapa penelitian di Indonesia yang menelaah tentang peran aktivitas fisik dalam perkembangan penyakit kardiovaskuler. Penelitian ini bertujuan untuk mendeskripsikan tentang tingkat aktivitas fisik dan menyelidiki hubungannya dengan faktor risiko penyakit kardiovaskuler pada karyawan kantor di lingkungan Universitas Sebelas Maret (UNS). Penelitian ini menggunakan desain penelitian potong lintang, dengan jumlah sampel sebanyak 44 orang. Data level aktivitas fisik diperoleh dari International Physical Activity Questionnaire (IPAQ). Sedangkan faktor-faktor risiko penyakit kardiovaskuler (gula darah, kolesterol, tekanan darah, lingkar pinggang, dan IMT) diukur dengan menggunakan alat ukur yang sesuai. Hasil penelitian menunjukkan bahwa level aktivitas fisik karyawan berkategori Rendah sebesar 6.82%, Sedang sebesar 72.73%, dan Tinggi sebesar 20.45%. Berdasarkan uji Pearson Correlation, tekanan darah baik sistolik dan diastolik mempunyai hubungan yang signifikan dengan level aktivitas fisik. Tidak ada hubungan yang signifikan antara level aktivitas fisik dengan faktor risiko lainnya dalam penelitian ini. Secara umum penelitian ini menunjukkan bahwa level aktivitas fisik karyawan di lingkungan UNS adalah berkategori sedang, dan tekanan darah mempunyai hubungan yang signifikan dengan aktivitas fisik. Physical activity level and cardiovascular risk factors among university employees AbstractNoncommunicable Diseases (NCDs) are one of the leading deaths in the world. Insufficiency of physical activity (PA) escalate the risk of NCDs. Although the reports of the studies investigating the relationship between PA and cardiovascular risk factors are abundance, only a few studies in Indonesia examined the role of PA in the development of cardiovascular diseases. The aim of this study was to describe the level of PA and investigate the relationships between PA and cardiovascular risk factors among UNS employees. This was a cross sectional study with a sample of 44 university employees. PA level was assessed using IPAQ. Meanwhile cardiovascular risk factors such as plasma glucose, cholesterol, blood pressure, waist circumference, and BMI were measured using an appropriate tool for each measure. The results revealed that participants with low level of PA (6.82%), moderate category (72.73%), and high category (20.45%). Pearson Correlation analysis showed blood pressure both systolic and diastolic had a significant association with PA level. There was no a significant association between PA level and others cardiovascular risk factors in this research. Generally, this study exhibited the level of PA among UNS employees in the moderate category, and blood pressure had a significant association with PA.

scholarly journals Identification of factors and groups at risk of infection with Schistosoma mansoni: a strategy for the implementation of control measures?

1994 ◽  
Vol 36 (3) ◽  
pp. 245-253 ◽  
Author(s):  
Pedro Coura-Filho ◽  
Roberto Sena Rocha ◽  
Marcio Willian Farah ◽  
Grace Carolina da Silva ◽  
Naftale Katz
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Urban Area ◽  
Rural Area ◽  
Large Scale ◽  
Geometric Mean ◽  
Control Program ◽  
Control Measures ◽  
Agricultural Activity ◽  
Domestic Water

A fourteen year schistosomiasis control program in Peri-Peri (Capim Branco, MG) reduced prevalence from 43.5 to 4.4%; incidence from 19.0 to 2.9%, the geometric mean of the number of eggs from 281 to 87 and the level of the hepatoesplenic form cases from 5.9 to 0.0%. In 1991, three years after the interruption of the program, the prevalence had risen to 19.6%. The district consists of Barbosa (a rural area) and Peri-Peri itself (an urban area). In 1991, the prevalence in the two areas was 28.4% and 16.0% respectively. A multivariate analysis of risk factors for schistosomiasis indicated the domestic agricultural activity with population attributive risk (PAR) of 29.82%, the distance (< 10 m) from home to water source (PAR = 25.93%) and weekly fishing (PAR = 17.21%) as being responsible for infections in the rural area. The recommended control measures for this area are non-manual irrigation and removal of homes to more than ten meters from irrigation ditches. In the urban area, it was observed that swimming at weekly intervals (PAR = 20.71%), daily domestic agricultural activity (PAR = 4.07%) and the absence of drinking water in the home (PAR=4.29%) were responsible for infections. Thus, in the urban area the recommended control measures are the substitution of manual irrigation with an irrigation method that avoids contact with water, the creation of leisure options of the population and the provision of a domestic water supply. The authors call attention to the need for the efficacy of multivariate analysis of risk factors to be evaluated for schistosomiasis prior to its large scale use as a indicator of the control measures to be implemented.

scholarly journals Mental Stress and Multiple Risk Factors of Cardiovascular Diseases with Regional Variations in Women of Urban and Rural Areas of Sindh, Pakistan

2021 ◽  
Vol 6 (2) ◽  
Keyword(s):  
Risk Factors ◽  
Urban Area ◽  
Rural Area ◽  
Psychological Stress ◽  
Rural Women ◽  
Rural Population ◽  
Urban Areas ◽  
Mental Stress ◽  
Physical Inactivity ◽  
Urban Population

Introduction: The high prevalence of risk factors in women in developing countries of South Asia appears to have been translated into early and severe CHD in contrast to their counterpart in the first world nations, which has been related to obesity and insulin resistance and genetically determined increased lipoprotein Lp(a) levels. Mental stress due to urbanization, sedentary life style and physical inactivity may be the most important factor initiating obesity and the clustering of all other risk factors hypertension, dyslipidaemia and (WHR). These risk factors vary in different regions of South Asia. Aims and Objectives: Our aim of the study was to describe and analyse differences between the frequency of risk factors such as psychological stress due to, socio-economical aspects, life style especially physical activity, and health behaviours which may contribute in the course of CAD in women of both rural and urban areas of Pakistan because no such significant data is available in women with CAD. Study Design: This descriptive cross-sectional comparative study was conducted in Cardiology Department of Dow University of Health and Sciences Karachi, Pakistan, from March 2014 to March 2016 by filling a questionnaire and laboratory data. The study group comprised female subjects around 577 (Urban 347 {60.1%} and Rural 230 {39.9%}) women ranged from 25-65 years of age who underwent coronary angiography and had definite coronary atherosclerotic diseases. Our study was conducted by examining the psychological stress in women of both areas and its strength of association with frequency of other risk factors in female patients of urban and rural areas with definite CHD taking account the difference in age and education level into account. Result: Analysis of this study conducted at department of Cardiology in Dow University Karachi from March 2014 to March 2017 revealed that the women of rural area were comparatively more physically active then women of urban area. Prevalence of mental stress, hypertension, diabetes, obesity, higher BMI, hyperlipidaemia (especially TC) waist and hip circumference of both areas were found to be different after adjustment made for age. A considerable association was found between psychological stress and other factors in ischemic heart disease patients showing the p-value (p=0.043). Psychological stress was found 82% in both groups and (13%) women had no stress rated as normal more in rural (26%) vs (04%) in urban population. Physical inactivity in women with CHD was found in 92% urban in contrast to 45% in rural population, (p=0.009). Hypertension prevalence was more in urban 253 in comparison to 151 women in rural area. Diabetes Mellitus was also found more in urban than rural population, especially in age below 50, 79 (23%) urban vs 60 (26%) in rural population. Women beyond 50 years of age, 85 (24%) urban vs 64 (27%) rural area had prevalence of obesity comparatively higher in urban residents 71 (20%) than 44(%) in rural dwellers and 32 (9%) urban vs 16 (7%) in rural women in age range below 50 years. Higher waist circumstance was observed more in urban residents (4.8 cm) whereas BMI was more (1.8 unit) in women of rural area than urban women. Prevalence of smoking and nicotine chewing was relatively higher in urban population in below 50 years of age with 30 (09%) urban vs 13 (05%) in rural women and in age beyond 50, 11 (03%) urban vs 10 (04%) in rural women was witnessed. Average total cholesterol, serum triglycerides and LDL were found to be higher in urban compared to rural area residents and HDL was comparatively lower in urban area group. Mean cholesterol level was seen at average of 353 mg% in urban vs 223 mg% in rural population. Serum cortisol level showed significant variation in urban group 19.1 vs 14.2 in rural group (sample, as well as serum fibrinogen was raised more raised in urban population). Conclusion: Our study shows increased prevalence of mental stress and physical inactivity in female residents of urban area leading to Higher blood pressure, DM, dyslipidaemia and central obesity specially in Waist circumference than rural area. The mental stress induced by excessive demands of work at home and at working place with too little control is not unique to women of urban areas.

scholarly journals Knowledge and Public Awareness of Cancer Risk Factors and Determinants among Yemeni adults- A Community Based Cross-Sectional Study

2021 ◽  
Vol 319 ◽  
pp. 01051
Author(s):  
Amran Ibrahim ◽  
Karima El Rhazi ◽  
Bouchra Benazzouz ◽  
Sawson Mohammed
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cancer Risk ◽  
Educational Level ◽  
Public Awareness ◽  
Process Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Cancer Risk Factors ◽  
Fresh Vegetables

Cancer is the second biggest cause of premature death after cardiovascular diseases. However, the majority of cancers are caused by risk factors that may be changed. Knowledge is frequently a component of the behavior modification process. Data on the target population’s level of knowledge is required. A cross-sectional survey about nine risk factors for cancer was conducted in four areas in Yemen. The data was analyzed using spss statistics (version20). Among the (571) subjects who took part in the research. The majority of respondents agreed that active smoking, alcohol consumptions are cancer risk factors and physical activity as a preventive factor for developing cancer. However, fewer respondents agreed that passive smoking, lack of fresh vegetables and fruits, sun overexposure, obesity, air pollution in cities and indoor smoke, physical inactivity are cancer risk factors. Participants’ responses were shown to have a strong relationship with their educational level, residency, and gender. The higher the educational level and whenever the gender was male and residency urban the higher the probability that respondents identified cancer risk factors including smoking and physical activity as a preventive factor (p<0.0005). The findings show that this community has little knowledge of prevalent cancer risk factors.

scholarly journals Clustering of lifestyle risk factors among Algerian adolescents: Comparison between urban and rural area

2021 ◽  
Author(s):  
Fatima alzahra Hasan Yakti ◽  
Hissa Al-Mannai ◽  
Dana Saad ◽  
Abdelhamid Kerkadi ◽  
Grace Attieh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Urban Area ◽  
Rural Area ◽  
Physical Inactivity ◽  
Fruits And Vegetables ◽  
Positive Association ◽  
Negative Association ◽  
Design Data ◽  
Significant Positive Association ◽  
Cross Sectional

Background: Lifestyle behavior risk factors (LBRs) such as sedentary behavior, physical inactivity, smoking, unhealthy eating patterns and being overweight/obese play a major role in the development or prevention of NCDs. Objective: Compare the clustering of LBRs between urban and rural Algerian adolescents. We expect differences in LBRs between urban and rural area. Design: Data of this cross-sectional study was derived from GSHS. Self-administered, anonymous questionnaire was filled out by 4532 adolescents (11–16 years), which addressed LBRs of NCDs. LBRs clustering was measured by the ratios of observed (O) and expected (E) prevalence of one or more simultaneously occurring LBRs for urban and rural area separately. Multivariate logistic regression was performed to examine the association of LBRs as dependent variable with demographic variables (location, age, gender). Results: The most common LBR was physical inactivity (84.6%: 50.9% for urban and 49.1% for rural). Adolescents in urban area had a higher prevalence of two (56.8% vs. 43.2%) and three and more (61.3 vs. 38.7%) LBRs than rural. In urban area, a significant positive association was found between: (low fruits and vegetables + physical inactivity) [2.06 (1.61-2.64)] and (high SB + smoking) [2.10 (1.54-2.76)], while (physical inactivity + high SB) [0.70 (0.54-0.91)] showed a significant negative association. In rural area, (high SB + overweight/obesity) [1.49 (1.09-2.04)] had a significant positive association. While, (low fruits and vegetables + high SB) [0.75 (0.60-0.94)], (physical inactivity + high SB) [0.65 (0.49-0.86)] and (physical inactivity + smoking) [0.70 (0.49-0.99)] had a negative association. Conclusions: Several socio-demographic factors have been identified to play a role in LBRs clustering among Algerian adolescents. Results of the study suggest the development of intervention aiming to tackle different LBRs rather than focusing on a single LBR.

scholarly journals Psychological Study of Anxiety among Diabetic Patients

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Parth R. Desai
Keyword(s):  
Diabetic Patient ◽  
Urban Area ◽  
Rural Area ◽  
T Test ◽  
Anxiety Scale ◽  
Diabetic Patients ◽  
Male And Female ◽  
Psychological Study ◽  
Significant Difference ◽  
The Mean

The main aim of the present study is to find out the level of Anxiety among diabetic patient. It was hypothesized that the level of and Anxiety will differ in diabetic patients with regards to gender and type of area. The sample consists of total 120 (60 patients of urban and 60 patients of rural area) the sample is selected from city and various villages, by using purposive technique. Anxiety scale prepared by A.K.P. Sinha and L.N.K. Sinha devised this test and it is available both test in Hindi and English. Gujarati Adoption by Bhatt D. J. (1999). The data was scored, analyzed as per the manual. ‘t’ test was being calculated. The result showed that (1) There is no significant difference between the mean score of anxiety among male and female diabetic patient. (2) There is significant difference between the mean score of anxiety among type of area i.e. urban and rural. Thereafter could be said that, diabetic patient of rural area show more anxiety than diabetic patient of urban area.

scholarly journals FAKTOR RISIKO KEGEMUKAN PADA WANITA DEWASA INDONESIA

2013 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Rian Diana ◽  
Indah Yuliana ◽  
Ghaida Yasmin ◽  
Hardinsyah Hardinsyah
Keyword(s):  
Physical Activity ◽  
Higher Education ◽  
Risk Factors ◽  
Logistic Regression ◽  
Household Income ◽  
Significant Risk ◽  
Education Level ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Overweight Women

This study was aimed to analyze risk factors of overweight women aged 19—55 years in Indonesia. This study used electronic files data of the National Basic Health Research 2010 from Ministry of Health, which was designed as a cross sectional survey. A total of 57,167 women aged 19—55 years were selected for the analysis. A logistic regression was applied to analyze risk factors of overweight. The result showed that 29.4% of subjects were overweight (including obese). The significant risk factors (p&lt;0.05) of overweight among subjects were marital status (OR for married=2.712; 95%CI:2.559—2.875), household income (OR for high income=1.566; 95%CI:1.504—1.631), living settlement (OR for urban=1.358; 95%CI:1.304—1.413), physical activity (OR for sedentary=1.213; 95%CI:1.153—1.275), energy from carbohydrate (EAC) (OR for EAC≥55%=1.119; 95%CI:1.067—1.173), and energy from sugary sweetened foods (ESF) (OR for ESF≥10%=1.100; 95%CI:1.037—1.166). Education level (OR for higher education=0.817; 95%CI:0.782—0.853) was a protective factors for overweight. This implies the importance of promoting physical activity and healthy diet, especially with sugary sweetened foods and adequate energy from carbohydrate, for preventing and controlling overweight among Indonesian adults especially women.

scholarly journals Metabolic Syndrome Risk Factors and Physical Activity in Middle-Aged Women

2019 ◽  
Vol 4 (4) ◽  
pp. 70
Author(s):  
Pao-Yu Wang ◽  
Lee-Ing Tsao ◽  
Mei-Hsiang Lin ◽  
Chin-Ying Lee
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Metabolic Syndrome ◽  
Fasting Blood Glucose ◽  
Moderate Intensity ◽  
Short Version ◽  
Middle Aged ◽  
Cross Sectional Survey ◽  
Metabolic Equivalents ◽  
Intensity Physical Activity

Aim: The purpose of this study was to explore the correlation between physical activity and metabolic syndrome risk factors middle-aged women.Methods: A cross-sectional survey of 101 middle-aged women with metabolic syndrome risk factors were recruited from a regional teaching hospital in Taiwan. Surveys were conducted using a demographic questionnaire, and the Taiwanese version of the self-administered short version of the International Physical Activity Questionnaire.Results: The research results indicate that (1) 69% of the Women with metabolic syndrome were mostly in postmenopause, and the most common risk factor for metabolic syndrome was abdominal obesity (80.2%). (2) Fasting blood glucose (FBG) ≥ 100mg/dl and the level of physical activity showed significantly differences (χ2 = 6.1, p < .05). (3)The total metabolic equivalents (METs) of physical activities of having or no having metabolic syndrome women showed significantly different, no having metabolic syndrome women higher then metabolic syndrome women (t = 2.23, p < .05). (4) The predictor of waist circumference ≥ 80cm is basal metabolic index (BMI) (OR = 3.46; 95% CI = 1.61, 7.46) (p < .05), the predictor of FBG ≥ 100mg/dl is insufficient physical activity (OR = 11.29; 95% CI = 1.72, 73.82) (p < .05), and the predictors of metabolic syndrome are BMI (OR = 1.68; 95% CI = 1.33, 2.08), menopause (OR = 12.3; 95% CI = 1.25, 120.68), and postmenopause (OR = 42.97; 95% CI = 2.22, 831.41) (p < .05).Conclusions: This study recommends that to prevent metabolic syndrome, middle-aged women should adopt an active lifestyle, actively control their weight, and a minimum of 150 min of moderate-intensity physical activity per week or 75 min of high-intensity physical activity. This result is a potentially crucial reference for healthcare professionals in their care of patients with metabolic syndrome.

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