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.

scholarly journals Cross-sectional study of child malnutrition and associated risk factors among children aged under five in West Bengal, India

2016 ◽  
Vol 2 ◽  
Author(s):  
Sanjit Sarkar
Keyword(s):  
Risk Factors ◽  
Nutritional Status ◽  
Gender Discrimination ◽  
West Bengal ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Child Malnutrition ◽  
Sectional Study ◽  
Cross Sectional ◽  
Under Five

Using a cross-sectional study of 485 sample households in 2013, the present paper examines the prevalence and risk factors of child malnutrition among children under the age of five in West Bengal, India. As a part of this investigation, children’s underweight status, wasting, and stunting were examined in order to determine child nutritional status using the WHO growth standard. We performed bivariate analyses in order to elucidate differentials in nutritional indices and fitted multinomial logistic regression models to examine the net effect of different socio-economic factors on the likelihood of child malnutri-tion. Analysis results revealed stunting (51%) as the most common form of malnutrition among children aged under five, followed by underweight status (41%), and wasting (22%).Gender discrimination among children increases with age, whereby girls are more deprived (as measured by nutritional indic-es) compared to boys later in childhood relative to younger ages. Results from multinomial analyses re-veal age, religion, caste, and birth-order of the child as significant predictors of child’s nutritional status.

scholarly journals Epidemiology of hypertension in selected towns of Wollega zones, Western Ethiopia, 2019: A community-based cross-sectional study

2021 ◽  
Vol 9 ◽  
pp. 205031212110245
Author(s):  
Getu Mosisa ◽  
Bikila Regassa ◽  
Bayise Biru
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Alcohol Consumption ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional

Introduction: Hypertension remains an emerging public health problem globally, particularly in developing countries. Age, income level, obesity, alcohol consumption, smoking, vegetables and fruit consumption, physical activity and chat chewing were some risk factors of hypertension. However, there are limited data on the epidemiology of hypertension in Ethiopia. This study aimed to assess Epidemiology of Hypertension among the community of selected towns of Wollega zones. Methods: A community-based cross-sectional study was conducted from 1 to 30 June 2019 in selected towns of Wollega zones. A multistage sampling technique was used to select 840 study participants. Data were collected using the WHO STEP wise approach. The data were coded and entered into EpiData 3, and exported to SPSS version 20.0 for analysis. Bivariate and multivariable logistic regression analyses were conducted. Statistical significance was declared at p-value < 0.05. Results: The study included a total of 838 respondents with a response rate of 99.7%. The prevalence of hypertension was found to be 189 (22.6%) (95% confidence interval = 19.9%–25.2%). Of this, 108 (12.9%) and 81 (9.7%) of female and male were hypertensive, respectively. Age groups of 30–44 years (adjusted odds ratio = 2.65 (1.43, 4.89)), 45–59 years (adjusted odds ratio = 3.55 (1.79, 7.04)), above 60 years (adjusted odds ratio = 2.97 (1.43, 6.18)), having history of alcohol consumption (adjusted odds ratio = 4.29 (2.4, 7.66)), involving in vigorous physical activity (adjusted odds ratio = 0.096 (0.028, 0.33)), not walking to and from the work (adjusted odds ratio = 13.12 (8.34, 20.67)), being overweight (adjusted odds ratio = 1.98 (1.21, 3.25)), inadequate fruits serving per day (adjusted odds ratio = 2.93 (1.75, 4.88)) were significantly associated with hypertension. Conclusion: The prevalence of hypertension was found to be high in the study area. Older age, alcohol consumption, not engaging in vigorous activity, physical inactivity, being overweight and inadequate intake of fruits were found to be risk factors for hypertension. Therefore, health care providers should provide extensive health education and promotion on recommended lifestyle modification to tackle the burden of hypertension.

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 Total Pesticide Exposure Calculation among Vegetable Farmers in Benguet, Philippines

2009 ◽  
Vol 2009 ◽  
pp. 1-5 ◽  
Author(s):  
Jinky Leilanie Lu
Keyword(s):  
Risk Factors ◽  
Pesticide Exposure ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Vegetable Farmers ◽  
Safety And Health ◽  
The Mean ◽  
Integrated Program

This was a cross-sectional study that investigated pesticide exposure and its risk factors targeting vegetable farmers selected through cluster sampling. The sampling size calculated with was 211 vegetable farmers and 37 farms. The mean usage of pesticide was 21.35 liters. Risk factors included damaged backpack sprayer (34.7%), spills on hands (31.8%), and spraying against the wind (58%). The top 3 pesticides used were pyrethroid (46.4%), organophosphates (24.2%), and carbamates (21.3%). Those who were exposed to fungicides and insecticides also had higher total pesticide exposure. Furthermore, a farmer who was a pesticide applicator, mixer, loader, and who had not been given instructions through training was at risk of having higher pesticide exposure. The most prevalent symptoms were headache (64.1%), muscle pain (61.1%), cough (45.5%), weakness (42.4%), eye pain (39.9%), chest pain (37.4%), and eye redness (33.8%). The data can be used for the formulation of an integrated program on safety and health in the vegetable industry.

scholarly journals Reported incidence and risk factors of childhood pneumonia in India: a community-based cross-sectional study

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Jayashree Gothankar ◽  
Prakash Doke ◽  
Girish Dhumale ◽  
Prasad Pore ◽  
Sanjay Lalwani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Childhood Pneumonia

scholarly journals Prevalence of Hypertension and Associated Factors in Dire Dawa City, Eastern Ethiopia: A Community-Based Cross-Sectional Study

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Hirbo Shore Roba ◽  
Addisu Shunu Beyene ◽  
Melkamu Merid Mengesha ◽  
Behailu Hawulte Ayele
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
World Health ◽  
Major Public Health Problem ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Eastern Ethiopia ◽  
Dire Dawa ◽  
Study Setting

Background. Hypertension is a major cardiovascular risk factor that is linked with fatal complications and is an overwhelming global challenge. Primary prevention is a key to control hypertension with identification of major risk factors. This study was aimed at assessing the prevalence and factors associated with hypertension. Methods. Community-based cross-sectional study was conducted among 903 adults aged 25 to 64 years in Dire Dawa City, East Ethiopia. Data were collected using World Health Organization (WHO) STEPwise approach to Surveillance (STEPS) for non-communicable disease (NCD) standard survey tool. Multivariate logistic regression models were used to identify relative effects of distal, proximal, and immediate risk factors of hypertension, and all statistical tests were declared significantly at P-value<0.05. Results. The average SBP and DBP were 124.98±17.18 mmHg and 78.92±10.13 mmHg, respectively. The prevalence of hypertension was 24.43% (95% CI: 21.57, 27.28). Majority (51.64%) of adults were not aware of their elevated blood pressure status. hypertension was significantly associated with the age group 30-44 (aOR 3.61, 95% CI: 2.0, 6.55), 45-54 (aOR 5.36, 95% CI: 2.62, 10.91), and 55-64 (aOR 9.38, 95% CI: 4.73, 18.59), being unemployed (aOR 1.68, 95%CI: 1.03, 2.77), ever smoking (aOR 1.89, 95% CI: 1.04, 2.23), having abdominal obesity (aOR 1.72, 95% CI: 1.13, 2.64), and BMI≥25 kg/m2 (aOR 1.48, 95%CI: 1.01, 2.15). Conclusion. Moderately high prevalence of hypertension was observed among adults in study setting demonstrating a major public health problem. Majority of adults with hypertension in study setting were not aware of their elevated BP status highlighting the burden of the hidden morbidity and subsequent complications. Community level intervention and routine assessment of sociodemographic, behavioral, and biophysiological risk factors, screening, and diagnosis of NCDs should be institutionalized to address the occult burden.

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