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 Authors Response: Clinical Differences Between Children With Asthma And Rhinitis In Rural And Urban Areas

2019 ◽  
pp. 46-48
Author(s):  
Jorde Sánchez ◽  
Andrés Sánchez ◽  
Ricardo Cardona
Keyword(s):  
Sample Size ◽  
Urban Area ◽  
Rural Area ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Sample Size Calculation ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Children With Asthma

Dear Editors: We greatly appreciate the interest shown in the article "Clinical differences between children with asthma and rhinitis in rural and urban areas", which we hope will be one of several future articles that we intend to carry out in the study cohort. To the questions generated by the reader, one is focused on the calculation of the sample size, while the other two questions are focus in the method of analysis, and the reader suggests, it could be more robust. Regarding the sample size, we describe that infant asthma in urban areas of Medellin was 11% and rhinitis 23%, according to previous studies. There is no data available for the rural area. We note that with a confidence level of 95%, a power of 80% and a sample size error of 0.5%, the sample size was calculated; estimating 201 children for the urban area and 128 for the rural area. Finally, we recruited and were able to continue for a year, a total of 248 children from the urban area and 134 from the rural area. The complaint of the reader, is focus that the more appropriated technique would be "… the appropriate sample size calculation must have been the difference of means between two independent populations, although the authors did not report any ACT effect size based on previous studies." First, we fully agree with the reader that for this type of design, the study lost power by the form of sample size calculation. We did not find studies with the urban and rural ACT tests in the studied population, which made it impossible to obtain these parameters to perform the sample size calculation by the technique "power two means" (difference of means of two independent groups). ). As we noted in the article, we do not have previous data in the rural population that allow us to infer the precise prevalence of asthma in this area; as we also noted in the article the prevalence in Colombia of asthma in the general urban population is 11%, there are also data that indicate that in the child population (less than 12 years) it is around 23%; if we work with these two prevalence where we assume that the highest in children is for the urban population and that possibly the lowest corresponds to what happens in the rural population 1 and assuming the parameters; alpha 0.05, power 0.80, delta 0.12 rural prevalence 0.11 vs. urban prevalence 0.23, a sample size of 306 is required; 153 for each group; in the urban area we had the availability of 201 children and in the rural area we made 128, which is close to the desired. Therefore we consider that we fulfill the expectation according to the mathematical formula used (chi-squared test comparing two independent proportions).

scholarly journals Rural and urban prevalence of sexual assault against women in an African population

2019 ◽  
Vol 18 (3) ◽  
pp. 628-635
Author(s):  
Adeleke NA ◽  
Adebimpe WO ◽  
Farinloye EO ◽  
Olowookere AS
Keyword(s):  
Sexual Assault ◽  
Urban Area ◽  
Rural Area ◽  
Rural Women ◽  
Rural Areas ◽  
Urban Areas ◽  
Medical Science ◽  
Public Health Issue ◽  
Rural And Urban ◽  
Urban And Rural Areas

Background: Sexual assault is about the most dehumanizing form of gender based violence against women worldwide. Nigeria and many other countries in Africa do not have National data on women sexual assault. This survey is aimed at generating data on sexual assault against women in Osun state, Nigeria. Objective: To determine the patterns of sexual assault against women in Urban and Rural areas of Osun State in South western Nigeria. Methodology: A cross section survey using interviewer administered questionnaire was carried out among selected 1,200 women aged 15 years and above in urban and rural areas, between August and December 2014. The questionnaire was patterned after WHO Multi-country study on women’s health and domestic violence data instrument. The data were analyzed using SPSS version 17.0. Results: Mean age of the respondents was 23.75 ±(13.22) years in rural area, in the urban area it was 27.69 ±(10.23) years. 46 % and 54 % were married in urban and rural areas respectively. The prevalence of completed rape was 10.0 % in urban and 9.2 % in rural, while that of attempted rape was 31.4 % and 20.0 % in the urban and rural area respectively. Women in the rural areas experienced repeat sexual assault and suffered non-genital injuries more the in urban area. Having partner and living in urban area were associated with female sexual assault. Conclusions: Sexual assault against women constitutes public health issue in Osun state with rural women incurring greater negative health consequences. Primary prevention strategies should focus at young men and women in both rural and urban areas of the state. Bangladesh Journal of Medical Science Vol.18(3) 2019 p.628-635

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 A comparative study of cardiovascular disease risk factors among urban and rural population South Indian city

2017 ◽  
Vol 4 (12) ◽  
pp. 4623
Author(s):  
Syam Sundar Junapudi ◽  
B. Babu Rao
Keyword(s):  
Alcohol Use ◽  
Urban Area ◽  
Rural Area ◽  
Rural Population ◽  
Urban Population ◽  
Smoking Habit ◽  
Health Centre ◽  
Communicable Diseases ◽  
Population Prevalence ◽  
Study Population

Background: Non-communicable diseases are major health burden in the industrialized countries, and are increasing rapidly in developing countries like India due to demographic transition and changing lifestyles among people. Major Non communicable diseases are cardiovascular diseases, renal, nervous and mental diseases, musculoskeletal conditions, chronic non-specific respiratory diseases, permanent results of accidents senility, blindness, cancers, diabetes, obesity and various other metabolic and degenerative diseases and chronic results of communicable diseases. The aims and objectives of the study were to estimate the prevalence of cardio vascular disease risk factors among the study population above 15 years age group and to compare the study results between urban and rural area population. Methods: A total of 1400 persons in the age group of above 15 years were interviewed at their residence and anthropometric measurements were taken. The study design was on community based cross-sectional study. The study setting was on urban health centre, Harazpenta and rural health centre, Patancheruvu. The study population was on adults above 15 years of age in Harazpenta and Patancheruvu. The sample size was 700 urban, 700 rural population. The study period was on April 2008 to May 2009 (1 year). The data collection was by using pre-designed, pretested questionnaire. The data analysis was by using MS office 2003, Epiinfo 2007. The statistical test was on rates, ratios, proportions and Chi-square tests. Results: Smoking habit was more (19.2%) among urban population when compare to the rural (13.4%) population, alcohol use was 24%, when compared to 30.7% was alcohol use in rural area. In urban area 13.7% of population led with sedentary life, where as in rural area 3.3% only. Among urban population prevalence of obesity was 12.7% compared to 5.4% in rural population, prevalence of hypertension in urban area 18.7% and rural area 20%, In urban area prevalence of diabetes was 14.4% and in rural area. Conclusions: Smoking habit was more (19.2%) among urban population when compare to the rural (13.4%) population, in urban area alcohol use was 24%, whereas in rural area 30.7%. In the study population 14.5% of urban males led a sedentary life style, when compared with 5.1% of males in the rural area. Among urban population prevalence of obesity was 12.7% compared to 5.4% in rural area.  

scholarly journals Kadar glukosa darah dan tekanan darah pada penduduk pedesaan dan perkotaan di Daerah Istimewa Yogyakarta

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Tasmini Tasmini ◽  
Arta Farmawati ◽  
Sunarti Sunarti ◽  
Pramudji Hastuti ◽  
Ahmad Hamim Sadewa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Blood Glucose ◽  
Urban Area ◽  
Rural Area ◽  
Rural Areas ◽  
Urban Areas ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Difference

ABSTRAK Sebagian besar penduduk di daerah pedesaan bertaraf ekonomi menengah ke bawah, memiliki keterbatasan akses informasi, dan memiliki mata pencaharian berbeda dibanding penduduk kota. Bantar Kulon merupakan daerah pedesaan dan Kronggahan adalah daerah perkotaan di Yogyakarta. Mengingat terjadinya pergeseran pola penyakit dari penyakit menular ke penyakit tidak menular serta adanya pengaruh lingkungan dan gaya hidup terhadap terjadinya penyakit degeneratif, dilakukan pengkajian mengenai faktor risiko sindroma metabolik di dua daerah tersebut. Penelitian ini dilakukan untuk mengetahui apakah ada perbedaan kadar glukosa darah puasa (GDP) dan tekanan darah (TD), serta keluhan/ penyakit utama pada penduduk di daerah pedesaan dan perkotaan. Sebanyak 71 orang dari Bantar Kulon dan 91 orang dari Kronggahan diperiksa kadar GDP menggunakan GCU Multi-Function Monitoring System (EasyTouch®). Tekanan darah diperiksa menggunakan sphygmomanometer raksa dan otomatis. Faktor risiko GDP dan TD kedua lokasi ditampilkan dalam bentuk deskriptif berdasarkan cut-off (GDP: ≥100mg/dL; TD: ≥140/90 mmHg). Uji t atau Mann Whitney U dilakukan untuk mengetahui perbedaaan nilai variabel antar kedua lokasi. Hasil dinyatakan berbeda bermakna jika p<0,05. Data keluhan kesehatan ditampilkan secara deskriptif. Tidak ada perbedaan kadar GDP antara desa dan kota (p=0,385). Persentase subjek yang memiliki GDP ≥ 100 mg/dL lebih banyak di kota dibanding desa (42,3% vs 26,4%). Persentase hipertensi berdasarkan pemeriksaan lebih tinggi di kota dibanding desa (50,5% vs 33,8%). Berdasarkan wawancara, keluhan/ penyakit tertinggi pada kedua wilayah adalah hipertensi sebanyak 23 orang (33,82%) di desa dan 30 (32,97%) di kota. Disimpulkan bahwa faktor risiko GDP di atas normal lebih banyak ditemukan di desa sedangkan hipertensi lebih banyak ditemukan di kota. Keluhan/ penyakit utama di kedua wilayah adalah hipertensi.KATA KUNCI kadar glukosa darah; penyakit metabolik; hipertensi; pedesaan; perkotaan             ABSTRACT Most people living in rural areas are from lower to middle income class, have limited access to information, and have different occupations compared to those in urban areas. In Yogyakarta, Bantar Kulon is a rural area, while Kronggahan is an urban area. Currently, the pattern of disease is shifting from infectious diseases to non-communicable diseases with environment and lifestyle factors as determinants. Thus, it is necessary to study the trends of risk factors for metabolic syndrome in both areas. This study aimed to seek the difference of  fasting blood glucose (FBG), blood pressure (BP), and major complaints/illness between rural and urban areas. 71 people from Bantar Kulon and 91 people from Kronggahan were examined for FBG levels using GCU Monitoring System (EasyTouch®). Blood pressures were checked using sphygmomanometer. Risk factors for FBG and BP were presented as frequencies based on cut-offs (FBG: ≥100mg/dL; BP: ≥140/90 mmHg). T-test or Mann-Whitney U test were used to analyze the difference in variables between both areas. Results were significantly different if p <0.05. Health complaint data were displayed descriptively. There was no difference in FBG level between rural and urban areas (p = 0.385). The percentage of subjects with  FBG ≥ 100 mg / dL was higher in Kronggahan than in Bantar Kulon (42.3% vs 26.4%). Based on examination, percentage of hypertension was higher in urban than rural areas (50.5% vs. 33.8%). Based on interviews, the top complaint/ disease in both areas was hypertension. The number of subjects who were diagnosed with hypertension were 23 (33,82%) and 30 (32,97%) from Bantar Kulon and Kronggahan respectively. Impaired fasting glucose was more common in Bantar Kulon (rural area) while hypertension is more common in Kronggahan (urban area). The main complaint / disease in both regions is hypertension.KEYWORDS blood glucose; metabolic syndrome; hypertension; rural area; urban area

scholarly journals Effectiveness of Government Policies in Controlling COVID-19 in India

2020 ◽  
pp. 002073142098374
Author(s):  
Ashutosh Pandey ◽  
Nitin Kishore Saxena
Keyword(s):  
Population Density ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Urban Population ◽  
Demographic Factors ◽  
Poverty Rate ◽  
Government Policies ◽  
Cumulative Number ◽  
Population Number

The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period [Formula: see text] as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the [Formula: see text]th state based on the predicted model and the actual COVID rank of the [Formula: see text]th state[Formula: see text]Our study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.

scholarly journals Consumption Rates and Use Patterns of Firewood and Charcoal in Urban and Rural Communities in Yedashe Township, Myanmar

Forests ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 429 ◽  
Author(s):  
Zar Win ◽  
Nobuya Mizoue ◽  
Tetsuji Ota ◽  
Tsuyoshi Kajisa ◽  
Shigejiro Yoshida
Keyword(s):  
Rural Communities ◽  
Environmental Impact ◽  
South Asia ◽  
Urban Area ◽  
Rural Area ◽  
Urban Areas ◽  
Fuel Use ◽  
Urban Households ◽  
Use Patterns ◽  
Consumption Rates

There is concern over the environmental impact of charcoal use for cooking in urban areas; however, studies have mainly been limited to Africa and South Asia. This investigation aimed to evaluate woodfuel consumption rates and patterns in an urban area in Yedashe Township, Myanmar and compared them with results from a rural area in the same township. From interviews with 66 urban households, it was evident that firewood and charcoal consumption rates in the urban area were about one-third and one-fourth, respectively, of those in the rural area. These low consumption rates were because of multiple-fuel use (mainly woodfuel and electricity) in the urban area in contrast to single-fuel use in the rural area. We estimated the forest area required to meet woodfuel demand of the whole township to be 3738 ha; that could decrease by almost 40% (1592 ha) if the single-fuel use in the rural area switched to the multiple-fuel methods used in the urban area. This study confirms that urbanization with an “energy stack” in multiple-fuel use, rather than an “energy ladder” from firewood to charcoal, could largely reduce the environmental impact on forests.

scholarly journals Assessment of Women participation in Agriculture in Vavuniya district, Sri Lanka

2016 ◽  
Vol 3 (3) ◽  
pp. 159-162
Author(s):  
Gopalakrishnan Tharani ◽  
Mohamed Sameem Roshan Akther ◽  
Nanthakumaran Ananthini
Keyword(s):  
Decision Making ◽  
Sri Lanka ◽  
Multiple Regression ◽  
Urban Area ◽  
Rural Area ◽  
Rural Women ◽  
Rural Areas ◽  
Agricultural Activities ◽  
Urban And Rural Areas ◽  
Women Participation

An attempt was made to assess the women contribution towards agriculture in Vavuniya district, Sri Lanka. 60 farm family households' women were randomly selected from rural and urban area of Kovilkulam AI region of Vavuniya district in Sri Lanka and the data were collected by constructed questionnaire. The objectives of this study are to identify the factors contributing women participation in agriculture, to identify the constraints faced by the women in participating agriculture and to evaluate the women participation in decision making activity in agriculture. Minitab 15 and MS excel were used for data analysis. The level of women participation in agricultural activities was found out using chi-square test and the factors contributing for women participation in agricultural activities were identified using multiple regression analysis in urban and rural areas separately (α=0.05). The results revealed that 90% of the rural women respondents and 50% of the urban respondents participated in the agricultural activities which is a significant difference. The mean values of women participation in agricultural activities in urban and rural areas were 77 hours and 836 hours per annum respectively. The multiple regression model for women participation in urban area found that the participation of women negatively correlated with status of employment, age and education level (p=0.000). In rural area, age and educational level were negatively influencing on women participation in agricultural activities (p=0.000). R-square values of fitted regression models were 72 % and 91% in urban and rural area respectively 72% and 91% variation in respective women participation were explained by these models. The obstacles for the women in participation in agricultural activities were reported as lack of knowledge and training in agriculture field, family burden, cultural and social barriers and physical constraints. 60% of women from rural areas and 90% of women from urban areas were involved in decision making especially in the selection of crops and varieties for planting and livestock rearing. Enhancing the awareness and the technical knowledge to the women in the field of agriculture would contribute to increase income from agriculture at household level, district level and finally at national level. Int. J. Soc. Sc. Manage. Vol. 3, Issue-3: 159-162

scholarly journals Authors Response: Clinical differences between children with asthma and rhinitis in rural and urban areas

2019 ◽  
Vol 50 (1) ◽  
pp. 47-48
Author(s):  
Jorge Sánchez ◽  
Andrés Sánchez ◽  
Ricardo Cardona
Keyword(s):  
Sample Size ◽  
Urban Area ◽  
Rural Area ◽  
Urban Areas ◽  
Sample Size Calculation ◽  
Study Cohort ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Children With Asthma ◽  
The Difference

We greatly appreciate the interest shown in the article "Clinical differences between children with asthma and rhinitis in rural and urban areas", which we hope will be one of several future articles that we intend to carry out in the study cohort. To the questions generated by the reader, one is focused on the calculation of the sample size, while the other two questions are focus in the method of analysis, and the reader suggests, it could be more robust. Regarding the sample size, we describe that infant asthma in urban areas of Medellin was 11% and rhinitis 23%, according to previous studies. There is no data available for the rural area. We note that with a confidence level of 95%, a power of 80% and a sample size error of 0.5%, the sample size was calculated; estimating 201 children for the urban area and 128 for the rural area. Finally, we recruited and were able to continue for a year, a total of 248 children from the urban area and 134 from the rural area. The complaint of the reader, is focus that the more appropriated technique would be "… the appropriate sample size calculation must have been the difference of means between two independent populations, although the authors did not report any ACT effect size based on previous studies."...

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.

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