scholarly journals Hotspots of unimproved sources of drinking water in Ethiopia: Mapping and Spatial analysis of Ethiopia Demographic and Health Survey Data 2016

2019 ◽  
Author(s):  
Getahun Gebre Bogale
Keyword(s):  
Drinking Water ◽  
Statistical Tests ◽  
National Level ◽  
Population Based ◽  
Cross Sectional Study ◽  
Moran’S I ◽  
Systematic Sampling ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Moran's I

Abstract Background: More than 35% of Ethiopian population is using drinking water from unimproved sources. As per the United Nations’ Sustainable Development Goals, Ethiopia is aspiring to achieve universal and equitable access to safe and affordable drinking water for all by 2030. For these goals to be accomplished, it is important to map the country’s hotspot areas of unimproved source of drinking-water so that resource allocation and disease control can be optimized there. Methods: A population based cross-sectional study was conducted in Ethiopia from January 18 to June 27, 2016. Data were collected from 10,064 households using a pretested and structured questionnaire. A stratified two-stage cluster sampling was employed where the enumeration areas were primary sampling units and households were secondary sampling units. Systematic sampling with probability proportional to size was employed to select samples. Data were cleaned in spreadsheet and entered in to SaTScan and ArcGIS soft-wares for mapping and analysis. The Global Moran’s I and spatial scan statistical tests (Bernoulli model) were done to explore the presence of clustering in the study area and local spatial clusters (hotspots) of unimproved sources of drinking water using ArcGIS version 10.3 and Kuldorff’s SaTScan version 9.4 soft-wares, respectively. Moran’s I value closer to +1 declared presence of clustering at national level and Log-Likelihood ratio (LLR) greater than the critical value with p<0.05 declared statistical significant hotspots across the regions. Results: In this study, unimproved sources of drinking water were spatially clustered at the study area (Moran’s I: 0.35, p<0.05). A total of 143 significant clusters were identified. Of which, eight were most likely (primary) clusters and the rest 135 were secondary clusters. The first spatial window which contains primary clusters was located in Amhara and Afar regions (LLR: 78.89, at p<0.001). The rest 33 spatial windows which contain secondary clusters were found in all regions, except Gambela region and Addis Abeba city administration (with a range of LLR: 10.09-78.89, p<0.001). Conclusions: This study identified non-random clusters and hot spots of unimproved sources of drinking water. Therefore, the result helps decision makers for their geographical interventions to combat problems related to hotspots.

scholarly journals Falls among the elderly: risk factors in a population-based study

2014 ◽  
Vol 17 (3) ◽  
pp. 705-718 ◽  
Author(s):  
Iara Guimarães Rodrigues ◽  
Gustavo Pereira Fraga ◽  
Marilisa Berti de Azevedo Barros
Keyword(s):  
The Elderly ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Elderly Adults ◽  
Cross Sectional ◽  
Population Based Study ◽  
Factors Associated ◽  
Gender And Age ◽  
Policies And Programs

Purpose: The aim of the present study was to identify factors associated with the occurrence of falls among elderly adults in a population-based study (ISACamp 2008). Methods: A population-based cross-sectional study was carried out with two-stage cluster sampling. The sample was composed of 1,520 elderly adults living in the urban area of the city of Campinas, São Paulo, Brazil. The occurrence of falls was analyzed based on reports of the main accident occurred in the previous 12 months. Data on socioeconomic/demographic factors and adverse health conditions were tested for possible associations with the outcome. Prevalence ratios (PR) were estimated and adjusted for gender and age using the Poisson multiple regression analysis. Results: Falls were more frequent, after adjustment for gender and age, among female elderly participants (PR = 2.39; 95% confidence interval (95%CI) 1.47 - 3.87), elderly adults (80 years old and older) (PR = 2.50; 95%CI 1.61 - 3.88), widowed (PR = 1.74; 95%CI 1.04 - 2.89) and among elderly adults who had rheumatism/arthritis/arthrosis (PR = 1.58; 95%CI 1.00 - 2.48), osteoporosis (PR = 1.71; 95%CI 1.18 - 2.49), asthma/bronchitis/emphysema (PR = 1,73; 95%CI 1.09 - 2.74), headache (PR = 1.59; 95%CI 1.07 - 2.38), mental common disorder (PR = 1.72; 95%CI 1.12 - 2.64), dizziness (PR = 2.82; 95%CI 1.98 - 4.02), insomnia (PR = 1.75; 95%CI 1.16 - 2.65), use of multiple medications (five or more) (PR = 2.50; 95%CI 1.12 - 5.56) and use of cane/walker (PR = 2.16; 95%CI 1.19 - 3,93). Conclusion: The present study shows segments of the elderly population who are more prone to falls through the identification of factors associated with this outcome. The findings can contribute to the planning of public health policies and programs addressed to the prevention of falls.

Association between cardiometabolic index and stroke: A population-based cross-sectional study

2021 ◽  
Vol 18 ◽  
Author(s):  
Feng-E Li ◽  
Yi Yang ◽  
Zhen-Ni Guo ◽  
Yun Luo ◽  
Fu-Liang Zhang ◽  
...  
Keyword(s):  
Stroke Risk ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Discrimination Ability ◽  
Cardiometabolic Index

Background: Cardiometabolic index (CMI) is associated with several risk factors for stroke; however, few studies have assessed the role of CMI in stroke risk. Objective: This study aimed to assess the association between CMI and stroke in a population-based cross-sectional study. Methods: This study included 4445 general residents aged ≥40 years selected by multistage stratified random cluster sampling. CMI was calculated as the product of the ratio of waist circumference to height (WHtR) and the ratio of triglyceride levels to high-density lipoprotein cholesterol levels (TG/HDL-C). Participants were categorized according to CMI quartiles: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4). Multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between CMI and stroke. Results: A total of 4052 participants were included in the study, with an overall stroke prevalence of 7.2%. The prevalence of stroke increased with CMI quartiles, ranging from 4.4% to 9.2% (p for trend <0.001). Compared with Q1, stroke risk for Q2, Q3, and Q4 were 1.550-, 1.693-, and 1.704- fold, respectively. The area under the ROC curve (AUC) [95% CI] was (0.574 [0.558−0.589]) for CMI, 0.627 [0.612−0.642]) (p=0.0024) for WHtR, 0.556 [0.540−0.571]) (p<0.0001) for TG/HDL-C. CMI was inferior to WHtR, but CMI had marginal advantage over TG/HDL-C in terms of its stroke discrimination ability. Conclusion: Although there was a strong and independent association between CMI and stroke in the general population, CMI had limited discriminating ability for stroke. Thus, new parameters should be developed.

scholarly journals Relationship between sleep duration and hypertension in northeast China: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e023916 ◽  
Author(s):  
Meng Li ◽  
Shoumeng Yan ◽  
Shan Jiang ◽  
Xiaoyu Ma ◽  
Tianyu Gao ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Duration ◽  
Northeast China ◽  
Total Sample ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Short Sleep Duration ◽  
Cross Sectional

ObjectivesPrevious studies have reported that sleep duration might increase the risk of hypertension. However, the results have been conflicting. We investigated whether sleep duration is independently associated with hypertension. We aimed to assess the relationship between sleep duration and hypertension in a population-based cross-sectional study.MethodsIn this study we used multistage stratified cluster sampling. A total of 19 407 adults aged 18–79 years were enrolled in the study. The participants were divided into three groups (<7 hours/day, 7–8 hours/day and >8 hours/day) according to self-reported sleep duration. Hypertension was defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg or the use of anti-hypertensive medications. Univariate and multivariate logistic regressions were performed to determine the association between hypertension and sleep duration adjusted for sociodemographic, body mass index, and lifestyle covariates.ResultsThe overall prevalence of hypertension was 32.6%. Among participants aged 18–44 years, individuals sleeping less than 7 hours per day had a higher risk of hypertension (OR=1.24, 95% CI: 1.05 to 1.46), compared with those who slept 7–8 hours per day. There were no significant associations between sleep duration and hypertension in the total sample, among middle-aged adults (45–59 years) or older adults (60–79 years).ConclusionsOur study demonstrates that short sleep duration was significantly associated with hypertension among people aged 18–44 years in northeast China.

scholarly journals Prevalence of Poor Self-Rated Health and Associated Risk Factors among Older Adults in Cali, Colombia

2013 ◽  
pp. 224-231 ◽  
Author(s):  
Jose Mauricio Ocampo-Chaparro ◽  
Helmer de Jesus Zapata-Ossa ◽  
Angela M Cubides-Munévar ◽  
Carmen Lucia Curcio ◽  
Juan de Dios Villegas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Fear Of Falling ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Frailty Syndrome ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Modifiable Factors

Introduction: Self-rated health (SRH) has beeen considered an important marker of quality of life and an independent predictor of mortality in older adults. Objective: To determine the prevalence of poor SRH and identify risk factors associated with poor SRH among older adults residing in the Commune 18 of the city of Cali, Colombia, in 2009. Methods: A population-based cross-sectional study with a single-stage cluster sampling design. Sample included 314 persons aged 60 and older. The dependent variable, SRH was dichotomized into good (excellent, very good, good) and poor (fair, poor). Independent variables were sociodemographic, biological, mental, functional and geriatric syndromes. Logistic regression was used for multivariate statistical modeling. Results: Overall, 40.1% reported poor SRH (women 42.9%, men 35.0%). Factors independently associated with poor SRH were diabetes mellitus, depression, fear of falling and frailty syndrome (frail and pre-frail vs. non-frail). Widowed men reported poorer health than married men while other marital status (single/separated/divorced) was associated with better self rated health in women. Conclusion: Potential modifiable factors such as depression and frailty syndrome are important determinants for poor SRH in Colombian older adults.

The relationship between the number of erupted primary teeth and the child's height and weight: a cross-sectional study

2005 ◽  
Vol 29 (4) ◽  
pp. 357-362 ◽  
Author(s):  
Ana Estela Haddad ◽  
Maria Salete Nahás Pires Correa
Keyword(s):  
Primary Teeth ◽  
Population Based ◽  
Cross Sectional Study ◽  
Regression Equation ◽  
Multiple Regression Equation ◽  
Systematic Sampling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Independent Variables ◽  
The Relationship

The objective of this study is to determine the correlation between the number of erupted primary teeth, the age, sex and the somatic measures of weight and height (length) in a Brazilian population based cross sectional study. A systematic sampling was used. Complete and consistent data were obtained from 870 of a total of 908 children from birth to 36 months of age. Statistical analysis comprised a multiple regression equation, where the number of erupted primary teeth was modeled as the dependent variable and the initial specification included the following independent variables: age, sex, birth-length, birth-weight, weight and length measured at the examination of the child. Results showed that in this study, 86% of the variation of the number of erupted primary teeth was explained by age and height of children (p&lt;0.001). Age and height showed a stronger correlation with the number of erupted primary teeth than all the tested variables together. It was concluded that primary teeth eruption is highly influenced by age and height (length) of the child. Using the best regression equation found, a chart was constructed where the variation of the number of erupted primary teeth is given according to age and height of the child.

scholarly journals ADOLESCENT GLUTEN INTAKE: POPULATION-BASED STUDY IN A BRAZILIAN CITY

2019 ◽  
Vol 37 (4) ◽  
pp. 419-427 ◽  
Author(s):  
Daniela de Assumpção ◽  
Caroline Dario Capitani ◽  
Ana Carolina Rocha ◽  
Marilisa Berti de Azevedo Barros ◽  
Antonio de Azevedo Barros Filho
Keyword(s):  
Eating Habits ◽  
Population Based ◽  
Cross Sectional Study ◽  
Food Sources ◽  
Cluster Sampling ◽  
Chicken Nuggets ◽  
Cross Sectional ◽  
Healthy Eating Habits ◽  
Health Related ◽  
Epidemiological Profile

ABSTRACT Objective: To estimate the prevalence of gluten intake according to demographic, socioeconomic, and health-related behavioral variables in adolescents. Methods: This is a population-based cross-sectional study with a two-stage cluster sampling, conducted in Campinas, São Paulo, in 2008-2009. Foods containing gluten were identified using a 24-hour Recall. We calculated the prevalence and adjusted prevalence ratios with multiple Poisson regression. Results: The study had a sample of 924 adolescents aged 10 to 19 years. Among the foods assessed, 26.9% (confidence interval of 95% - 95%CI 25.3-28.6) contained gluten. We found a higher prevalence of gluten intake in younger individuals (10 to 14 years), as well as in subgroups of adolescents who had a higher number of household appliances, attended school, consumed fewer beans and vegetables during the week (<4 times), and whose head of the family had better education level (≥12 years of schooling). The main food sources of gluten in their diet were: bread, cakes, and cereals (30.2%), chocolate milk (14%), chicken nuggets (12.3%), and cookies (11%). Conclusions: The results of the study show the epidemiological profile associated with gluten intake in adolescents and could support actions aimed at promoting healthy eating habits and preventing gluten-related diseases.

scholarly journals Meat intake among adults: a population-based study in the city of Campinas, Brazil. A cross-sectional study

2016 ◽  
Vol 134 (2) ◽  
pp. 138-145 ◽  
Author(s):  
Jaqueline Contrera Avila ◽  
Verônica Gronau Luz ◽  
Daniela de Assumpção ◽  
Regina Mara Fisberg ◽  
Marilisa Berti de Azevedo Barros
Keyword(s):  
Family Income ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Population Based Study ◽  
Meat Intake ◽  
Dietary Recall ◽  
Health Situation ◽  
The City

ABSTRACT CONTEXT AND OBJECTIVE: Meat is a food with high nutritional density that has significant participation in the Brazilian diet. However, in excess it can cause harm to health. The aim of this study was to analyze the meat intake (g/day) among adults according to sociodemographic, behavioral and health situation characteristics, and to assess the types of meat most consumed. DESIGN AND SETTING: Cross-sectional population-based study conducted in the city of Campinas, São Paulo, Brazil, in 2008 and 2009. METHODS: Two-stage cluster sampling was used. The analysis included 948 adults between 20 and 59 years, who were participants in the Campinas Health Survey. Meat intake was assessed using 24-hour dietary recall. RESULTS: The mean meat intake adjusted for sex and age was 182.3 g (95% CI: 170.6-193.9 g), with significantly lower intake among women, individuals aged 50 years or over, those with the presence of two or more self-reported chronic diseases and those with three or more health complaints. Higher meat intake was found in segments with intermediate monthly family income (between 1 and 3 minimum wages), those with 16 or more appliances per household and those who consumed soft drinks seven days a week. Beef was consumed most frequently (44%) among the meats in the diet, followed by poultry, fish and pork. CONCLUSION: The data from this study reveal high meat intake in the population of Campinas and identify the segments that need to be prioritized for strategies directed towards appropriate meat intake.

scholarly journals Dento-Skeletal Abnormalities in School-aged Children in Iran: A Cross-Sectional Study

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Mohsen Shirazi ◽  
Yasamin Farajzadeh Jalali ◽  
Hossein Hessari
Keyword(s):  
Facial Asymmetry ◽  
Population Based ◽  
Cross Sectional Study ◽  
Background Information ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Skeletal Abnormalities ◽  
School Aged Children ◽  
Facial Form ◽  
Face Pattern

Aim: The aim of this study was to evaluate skeleto-dental abnormalities in 9-11-year-old school children, in Tehran, Iran. Materials and Methods: In this population-based cross-sectional descriptive study, a random cluster sampling was done among 19 school districts. A total of 1,429 socioeconomically and ethnically diverse Iranian schoolchildren, aged 9-11 years were studied. A brief questionnaire including background information such as gender and age was completed by the parents. Clinical examinations included the evaluation of sagittal and vertical skeletal relationship, Facial form (facial index), and the presence of significant asymmetry. Results: There were 758 males and 671 females with the mean age of 10 years±8 months. According to the sagittal skeletal relationship, the most prevalent type was convex (63%) that presenting the skeletal Cl II jaw relation; followed by straight (32.9%); and then concave (4.1%). In the vertical skeletal relationship, 73.9% of the children had an average facial relationship, 18.4 % had a long face pattern; and 7.8% had a short face pattern. Regarding facial form in the frontal view, the most common was the average form (79.3%); followed by narrow (14%); and broad (6.7%). The prevalence of significant facial asymmetry was 15.2%. Conclusion: The prevalence of dento-skeletal abnormalities were high. The majority of the Iranian schoolchildren, aged 9-11 years, had at least one dento-skeletal abnormality, even though it is commonly preventable.

scholarly journals Undernutrition and associated factors among children aged 5–10 years in West Bengal, India: a community-based cross-sectional study

2021 ◽  
Vol 69 (1) ◽  
Author(s):  
Amitava Pal ◽  
Sourav Manna ◽  
Rishna Dalui ◽  
Rupanjan Mukhopadhyay ◽  
Prakash C. Dhara
Keyword(s):  
Risk Factors ◽  
Drinking Water ◽  
West Bengal ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Child Malnutrition ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional

Abstract Background In the previous few decades, India has made significant progress in reducing child mortality and fertility rates; yet, undernutrition remains one of the country’s primary public health issues. The goal of this study was to determine the extent of child malnutrition in West Bengal, India, as well as the risk factors linked with it. In diverse districts of West Bengal, a community-based cross-sectional study was undertaken utilizing multi-stage stratified cluster sampling followed by systematic random sampling. Anthropometric, individual, and household characteristics were collected from 2070 children in this study. Height-for-age, weight-for-age, and BMI-for-age z-scores were calculated. The levels and factors related with child undernutrition were studied using univariate and multivariate logistic regression analysis. Results Stunting, underweight, and thinness were shown to be prevalent in 25.48%, 33%, and 26.88% of children, respectively. With age, the likelihood of a child becoming malnourished increased. In comparison with girls, boys had a greater chance of being malnourished. Separately, parental educational and occupational statuses were linked to child malnutrition. Undernourished children were more likely to have a mother who was uneducated or undereducated (stunting: OR = 1.46; underweight: OR = 1.49; thinness: OR = 1.49). Children from economically disadvantaged families were more likely to be malnourished. Children from households with untreated drinking water and poor sanitation were more likely to be malnourished. Conclusions The current study showed that there are several risk variables linked to child malnutrition. Undernutrition was caused by illiteracy, filthy drinking water, and poor sanitation, all of which were independent risk factors.

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