scholarly journals Geographical variation and factors associated with unsafe child stool disposal in Ethiopia: A spatial and multilevel analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250814
Author(s):  
Biniyam Sahiledengle ◽  
Zinash Teferu ◽  
Yohannes Tekalegn ◽  
Tadesse Awoke ◽  
Demisu Zenbaba ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Secondary Data ◽  
High Rate ◽  
P Value ◽  
Oral Diseases ◽  
Poverty Level ◽  
Multivariable Logistic Regression Model ◽  
Statistical Tool ◽  
Factors Associated ◽  
Toilet Facility

Background Unsafe disposal of children’s stool makes children susceptible to fecal-oral diseases and children remain vulnerable till the stools of all children are disposed of safely. There is a paucity of data on spatial distribution and factors associated with unsafe child stool disposal in Ethiopia. Previous estimates, however, do not include information regarding individual and community-level factors associated with unsafe child stool disposal. Hence, the current study aimed (i) to explore the spatial distribution and (ii) to identify factors associated with unsafe child stool disposal in Ethiopia. Methods A secondary data analysis was conducted using the recent 2016 Ethiopian demographic and health survey data. A total of 4145 children aged 0–23 months with their mother were included in this analysis. The Getis-Ord spatial statistical tool was used to identify high and low hotspots areas of unsafe child stool disposal. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant spatial clusters. A multilevel multivariable logistic regression model was fitted to identify factors associated with unsafe child stool disposal. Results Unsafe child stool disposal was spatially clustered in Ethiopia (Moran’s Index = 0.211, p-value< 0.0001), and significant spatial SaTScan clusters of areas with a high rate of unsafe child stool disposal were detected. The most likely primary SaTScan cluster was detected in Tigray, Amhara, Afar (north), and Benishangul-Gumuz (north) regions (LLR: 41.62, p<0.0001). Unsafe child stool disposal is more prevalent among households that had unimproved toilet facility (AOR = 1.54, 95%CI: 1.17–2.02) and those with high community poorer level (AOR: 1.74, 95%CI: 1.23–2.46). Higher prevalence of unsafe child stool disposal was also found in households with poor wealth quintiles. Children belong to agrarian regions (AOR: 0.62, 95%CI 0.42–0.91), children 6–11 months of age (AOR: 0.65, 95%CI: 0.52–0.83), 12–17 months of age (AOR: 0.68, 95%CI: 0.54–0.86), and 18–23 months of age (AOR: 0.58, 95%CI: 0.45–0.75) had lower odds of unsafe child stool disposal. Conclusions Unsafe child stool disposal was spatially clustered. Higher odds of unsafe child stool disposal were found in households with high community poverty level, poor, unimproved toilet facility, and with the youngest children. Hence, the health authorities could tailor effective child stool management programs to mitigate the inequalities identified in this study. It is also better to consider child stool management intervention in existing sanitation activities considering the identified factors.

scholarly journals Geographical variation and factors associated with unsafe child stool disposal in Ethiopia: A spatial and multilevel analysis

2020 ◽  
Author(s):  
Biniyam Sahiledengle ◽  
Zinash Teferu ◽  
Yohannes Tekalegn ◽  
Tadesse Awoke ◽  
Demisu Zenbaba ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
High Rate ◽  
P Value ◽  
Poverty Level ◽  
Binary Logistic Regression Model ◽  
Statistical Tool ◽  
Factors Associated ◽  
Toilet Facility

Background: Unsafe disposal of childrens stool makes children susceptible to fecaloral diseases and children remain vulnerable till the stools of all children are disposed of safely. There is a paucity of data on spatial distribution and factors associated with unsafe child stool disposal in Ethiopia. Previous estimates, however, do not include information regarding individual and community level factors associated with unsafe child stool disposal. Hence, the current study aimed to explore the spatial distribution and to identify factors associated with unsafe child stool disposal in Ethiopia. Methods: A secondary data analysis was conducted using the recent 2016 Ethiopian demographic and health survey data. A total of 4145 children aged 0 to 23 months with their mother were included in this analysis. The Getis Ord spatial statistical tool was used to identify high and low hotspots areas of unsafe child stool disposal. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant spatial clusters. A multilevel binary logistic regression model was fitted to identify factors associated with unsafe child stool disposal. Results: Unsafe child stool disposal was spatially clustered in Ethiopia (Morans Index 0.211, p value< 0.0001), and significant spatial SaTScan clusters of areas with a high rate of unsafe child stool disposal were detected. The most likely primary SaTScan cluster was detected in Tigray, Amhara, Afar (north), and Benishangul Gumuz (north) regions (LLR: 41.62, p<0.0001). Unsafe child stool disposal is more prevalent among households that had unimproved toilet facility (AOR=1.54, 95%CI: 1.17-2.02), and those with high community poorer level (AOR: 1.74, 95%CI: 1.23-2.46). Higher prevalence of unsafe child stool disposal was also found in households with poor wealth quintiles. Children belong to agrarian regions (AOR: 0.62, 95%CI 0.42-0.91), children 6/11 months of age (AOR: 0.66, 95%CI: 0.52-0.83), 12-17 months of age (AOR: 0.68, 95%CI: 0.54-0.86), and 18/23 months of age (AOR: 0.58, 95%CI: 0.45-0.74) had lower odds of unsafe child stool disposal. Conclusions: Unsafe child stool disposal was spatially clustered. Higher odds of unsafe child stool disposal were found in households with high community poverty level, poor, unimproved toilet facility, and with the youngest children. Hence, the health authorities could tailor effective child stool management programs to mitigate the inequalities identified in this study. It is also better to consider child stool management intervention in existing sanitation activities considering the identified factors.

scholarly journals Spatial distribution and associated factors’ of Early Marriage among Reproductive age women in Ethiopia: A Secondary Data Analysis of Ethiopian Demographic and Health Survey 2016.

2020 ◽  
Author(s):  
Zemenu Tessema Tadesse
Keyword(s):  
Spatial Distribution ◽  
Health Survey ◽  
Associated Factors ◽  
Demographic And Health Survey ◽  
Reproductive Age ◽  
Scan Statistics ◽  
Early Marriage ◽  
P Value ◽  
Factors Associated ◽  
Reproductive Age Women

Abstract Background Besides, the presence of national law, the country has to set up its own mid-term and long term goals to bring about a significant reduction in child marriages in Ethiopia. To achieve this, determining the spatial pattern of early marriage and factors associated is important for government, other concerned bodies, program implementers and policy developers to end up early childhood marriage. Thus, the aim of this study was to assess the spatial patterns and associated factors of Early marriage among reproductive-age women in Ethiopia. Methods This study analyzed retrospectively a cross-sectional data on a weighted sample of 11,646 women aged 15-49 years after requesting from Ethiopian Demographic and Health Survey 2016 via the link www.measuredhs.com . ArcGIS version 10.7 software was used to visualize spatial distribution for Early marriage. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant purely spatial clusters for Early marriage in Ethiopia multiple logistic regression analysis was used to identify factors associated with early marriage. Finally, variables with a p-value<0.05 were considered as statistically significant. Results In this analysis, about 62.8% (95%CI: 61.9, 63.74%) of the study participants were married before they reached 18 years. The overall median age at first marriage was 17.1 with IQR 5 years. The high clustering of early marriage was located in Amhara, Afar, and Gambella Regions. In spatial Scan statistics 87 clusters (RR = 1.28, P-value < 0.001) significant primary clusters were identified. The associated factors of early marriage were lesser among women’s attending primary (AOR=0.60; 95%CI: 0.51, 0.71), secondary (AOR=0.19; 95%CI: 0.13, 0.26) and tertiary education (AOR=0.11; 95%CI: 0.07, 0.18). Similarly, women found in Addis Ababa were at a lesser risk of early marriage compared to other regions of the country. Conclusion Marriage below age 18 was high in Ethiopia. High-risk area of early marriage was located in Amhara, Afar, and Gambella and special attention should be given for identified risk areas. Therefore, providing educational opportunities to young girls was important in addition to inhibiting the marriage of girls under 18 years.

scholarly journals FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN TEKANAN DARAH PEKERJA DI PLTD/G

2016 ◽  
Vol 1 (3) ◽  
Author(s):  
Putri Sahara Harahap
Keyword(s):  
Blood Pressure ◽  
Work Environment ◽  
Working Conditions ◽  
Sampling Method ◽  
Secondary Data ◽  
Primary Data ◽  
P Value ◽  
Variable Intensity ◽  
Cross Sectional ◽  
Factors Associated

<p align="center"><strong><em>ABSTRACT</em></strong></p><p><strong><em><br /> Many diseases that afflict workers with regard to employment and working conditions are not safe, One is noise. Noise is sound or noise that is not desired, and therefore the noise will cause disruption for anyone who works on the noisy work environment. The purpose of this study was to determine the factors associated with blood pressure in workers in diesel / G Payo Selincah Jambi city in 2016. This type of research was an observational with cross sectional approach. Samples are all workers in the diesel / G Payo Selincah Jambi city is 48 people. How sampling mengguankan total sampling method. The collection of data by taking the primary data and secondary data. Analyzed using univariate and bivariate results showed no significant correlation between the intensity of noise with a p-value = 0.000 (p &lt;0.05), duration of exposure denagn pressure and blood pressure with a p-value = 0.020 (p &lt; 0.05), tenure and blood pressure with a p-value = 0.000 (p &lt;0.05). The study concluded that the variable intensity of noise, long exposure and a working relationship with blood pressure.</em></strong></p><p><strong><em><br /> <br /> Keywords: noise intensity, length of exposure, length of employment and blood pressure</em></strong></p><h1> </h1><p> </p><p align="center"><strong>ABSTRAK</strong></p><p align="center"><strong> </strong></p><p><strong><em>Banyak </em></strong><strong><em>penyakit yang menimpa pekerja berkaitan dengan pekerjaan dan kondisi tempat kerja yang tidak aman, Salah satunya adalah kebisingan. Kebisingan adalah suara atau bunyi yang tidak dikehendaki, maka dari itu kebisingan akan menyebabkan gangguan bagi siapa saja yang bekerja pada lingkungan kerja yang bising tersebut. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang berhubungan dengan tekanan darah pada pekerja di PLTD/G Payo Selincah kota Jambi tahun 2016. Jenis penelitian ini yang digunakan adalah observasional dengan pendekatan cross sectional.  Sampel pada penelitian ini adalah semua pekerja di PLTD/G Payo Selincah kota Jambi yaitu 48 orang. Cara pengambilan sampel dengan mengguankan metode total sampling. Pengumpulan data dengan cara mengambil data primer dan data sekunder. Analisis data menggunakan analisis univariat dan bivariat Hasil penelitian ini menunjukkan ada hubungan yang signifikan antara intensitas kebisingan dengan nilai p-value = 0,000 (p &lt; 0,05), lama pajanan denagn tekanan dan tekanan darah dengan nilai p-value = 0,020 (p&lt;0,05), masa kerja dan tekanan darah dengan nilai p-value = 0,000 (p &lt; 0,05). Penelitian ini menyimpulkan bahwa variabel intensitas kebisingan, lama pajanan dan masa kerja memiliki hubungan dengan tekanan darah.</em></strong></p><p> </p><p><strong>Kata kunci : intensitas kebisingan, lama pajanan, masa kerja dan tekanan darah</strong></p><p><strong> </strong></p>

scholarly journals Unsafe child feces disposal status in Ethiopia: what factors matter? analysis of pooled data from four demographic and health surveys

2020 ◽  
Author(s):  
Biniyam Sahiledengle
Keyword(s):  
Logistic Regression ◽  
Health Surveys ◽  
Demographic And Health Surveys ◽  
Multivariable Logistic Regression Model ◽  
Lower Odds ◽  
Paternal Education ◽  
Factors Associated ◽  
Pooled Data ◽  
Multivariable Logistic Regression ◽  
Toilet Facility

Abstract Background: The only safest way to dispose of a child’s feces is to help the child use a toilet or, for very young children, to put or rinse their feces into a toilet; whereas all other disposals are considered unsafe (feces put/rinsed into a drain or ditch, bush or thrown into the garbage, buried or left on the ground, and not disposed of). The study aims to determine the magnitude and factors associated with unsafe child feces disposal in Ethiopia.Methods: The study is cross-sectional in nature and based on the pooled data from the four rounds of Demographic and Health Surveys (DHS) conducted in Ethiopia (2000-16). Data on child feces disposal practice was collected for all children born during the five years preceding survey. To get detail about the disposal of children’s feces, mothers of under-five children were asked, “The last time passed stools, what was done to dispose of the stools?” with respect to the youngest child born. Descriptive statistics were computed to illustrate the given data. Multivariable logistic regression was performed to identify factors associated with unsafe child feces disposal. Results: The pooled dataset contains data for 40,520 children younger than 5 years, male accounts 20,629 (50.9%). Overall, 77.7% (95%CI: 76.3-79.0) of children feces disposed of unsafely. In the multivariable logistic regression model, those mothers whose child was 13-24 months [AOR: 0.68, 95% CI: (0.60-0.78)] and ≥ 25 months [AOR: 0.66, 95% CI: (0.60-0.72)] were lower odds of unsafe child’s feces disposal. Children born into households having two or fewer children were 33% lower [AOR: 0.67, 95% CI: (0.56-0.79)] odds of unsafe child’s feces disposal than their counterparts. The odds of disposing of feces unsafely among households having improved toilet facility was 76% lower [AOR: 0.24, 95% CI: (0.19-0.29)] that of households lacking such facilities. Further, being an urban resident, having improved drinking water facility, a high level of maternal and paternal education, paternal occupational status (work in non-agriculture), and maternal age (25-34 and ≥ 35 years) were factors associated with lower odds of unsafe child's feces disposal.Conclusions: Three in four Ethiopian children feces disposed of unsafely. Household and socio-demographic factors, such as access to improved water and toilet facility, area of a resident (urban), the child’s age (older age), and both higher maternal and paternal education levels were significantly associated with lower odds of unsafe child feces disposal.

scholarly journals Unsafe child feces disposal status in Ethiopia: what factors matter? analysis of pooled data from four demographic and health surveys

2020 ◽  
Author(s):  
Biniyam Sahiledengle
Keyword(s):  
Logistic Regression ◽  
Urban Areas ◽  
Demographic And Health Surveys ◽  
Multivariable Logistic Regression Model ◽  
Lower Odds ◽  
Paternal Education ◽  
Factors Associated ◽  
Multivariable Logistic Regression ◽  
Toilet Facility ◽  
High Level

Abstract Background: Unsafe child feces disposal has compounding effects on children’s wellbeing. In Ethiopia and many other countries, still, there is a common misconception that children’s feces are not harmful, and not end up in a toilet. Objective: The study aims to determine the magnitude and factors associated with unsafe child feces disposal in Ethiopia. Methods: The study is cross-sectional in nature and the analysis was based on data from 1st to 4th rounds of the population-based Ethiopian Demographic and Health Survey (EDHS) conducted between 2000 and 2016. Descriptive statistics were computed to illustrate the given data. Multivariable logistic regression was performed, adjusted odds ratio (AOR) with a 95% confidence interval (CI) were used to identify factors associated with unsafe child feces disposal. Results: The pooled dataset contained information on 40,520 children younger than 5 years, male accounts 20,629 (50.9%). Overall, 77.7% (95%CI: 76.3-79.0) of children feces disposed of unsafely. In the multivariable logistic regression model, those mothers whose child was 13-24 months [AOR: 0.68, 95% CI: (0.60-0.78)] and ≥ 25 months [AOR: 0.66, 95% CI: (0.60-0.72)] were lower odds of unsafe child’s feces disposal. Children born into households having two or fewer children were 33% lower [AOR: 0.67, 95% CI: (0.56-0.79)] odds of unsafe child’s feces disposal than their counterparts. The odds of disposing of feces unsafely among households having improved toilet facility was 76% lower [AOR: 0.24, 95% CI: (0.19-0.29)] that of households lacking such facilities. Being an urban resident, having improved drinking water facility, a high level of maternal and paternal education, paternal occupational status (work in non-agriculture), and maternal age were factors associated with lower odds of unsafe child's feces disposal. Conclusions: Three in four Ethiopian children feces disposed of unsafely. Unsafe child feces disposal is less prevalent among households that had improved water and toilet facility, those in urban areas, those with older children, those with a high level of maternal and paternal education, and those with a lower number of under-five children. There is a need for more attention to be paid to curtail the significant burden of unsafe child feces disposal in Ethiopia.

scholarly journals Prevalence and Determinants of Psychiatric Morbidities in Nigerian Men with LUTS Due to Prostatic Diseases

2021 ◽  
pp. 146-152
Author(s):  
M. U. Dada ◽  
P. T. Adegun ◽  
A. A. Idowu ◽  
A. E. Omonisi ◽  
L. O. Oluwole ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Health Centre ◽  
Psychiatric Morbidity ◽  
Depression Scale ◽  
T Test ◽  
University Teaching ◽  
High Rate ◽  
P Value ◽  
Factors Associated ◽  
Prostatic Diseases

Aims: This study aimed at determining the prevalence and significant factors associated with psychiatric morbidity in men with LUTS secondary to prostatic diseases in a tertiary health centre in a developing country. Study design: This is a prospective, cross-sectional study. Place and duration: The urology unit of Ekiti State University Teaching Hospital, Ado-Ekiti. Ekiti State, Nigeria. The study period was from 1stJanuary2018 to 31stDecember2019. Methodology:  Hospital Anxiety and Depression Scale (HADS) was used to assess for   psychiatric morbidity among 224 patients with LUTS. While,  International prostate symptom score (IPSS) was used to assess the severity of LUTS.  The data was analysed using SPSS version 20. Results:  The prevalence of depression and anxiety were 17% and 9.8% respectively. The mean IPSS and PSA scores of the respondents were 19.95±8.06 and 31.48±37.03 respectively. The only factors found to be significantly associated with depression were use of alcohol by the respondents (T-test = .058, P = .01, CI = -2.885 ˗˗ -0.391) and high scores on IPSS (T-test = .765, P value = .003, CI = 1.436 ˗˗ 6.995).  While the factors found to be associated with anxiety disorders were alcohol use by the respondents (T-test =2.661, P = .033, CI = -2.519 ˗˗  -0.103) and high PSA  scores (T-test =9.473, P value = .036, CI = -28.942 ˗˗ -1.068). Conclusion: This study shows that there is a high rate of psychiatric morbidity among patients with LUTS. Main factors associated with these morbidities were alcohol use, severity of the LUTS and high PSA scores. Assessment of psychiatric morbidity in patients with LUTS using simple psychological instruments will help in early detection and prompt treatment of psychological morbidities. 

scholarly journals Early contraceptive implants removal and its associated factors among women using implants at National Referral hospital, Kampala Uganda.

2020 ◽  
Author(s):  
Gerald Ssebatta ◽  
Dan Kaye ◽  
Scovia Mbalinda
Keyword(s):  
Side Effects ◽  
Rural Areas ◽  
Health Workers ◽  
Implant Removal ◽  
P Value ◽  
Multivariable Logistic Regression Model ◽  
Early Discontinuation ◽  
Cross Sectional ◽  
Factors Associated ◽  
Contraceptive Implants

Abstract Background. Early discontinuation of implant contraceptive methods and reasons for discontinuation remains a major concern for family planning programs and is generally higher in developing countries. Discontinuation is closely related to higher rates of the overall fertility rate, unwanted pregnancies leading to possibly induced abortion. The proportion and factors associated with early contraceptive implant removal are not well known in Uganda. The objective of the study was to determine the magnitude of early implants discontinuation among women receiving implants services in the study area and the factors associated with it. Methods: A facility-based cross-sectional study was conducted from 2nd January to 3rd March 2020 through a face-to-face interview. A total of 207 Implant user women were selected by systematic random sampling technique. SPSS version 20 was used for both data entry and analysis. Factors associated with early Implant discontinuation were analyzed using a binary and multivariable logistic regression model. Variables with a p-value of <0.05 and a 95% confidence interval were considered as statistically significant. Results. The proportion of early implant discontinuation was 42%. Factors associated with early implant discontinuation included; experience of side effects (OR= 2.629; 95%CI: 1.095-6.314; P= 0.031), not having received pre-insertion counseling about the benefits and side effects of contraceptive implants (OR= 2.565; 95%CI: 1.190-5.532; P= 0.016) and staying in rural areas (OR= 2.390; 95%CI: 1.229-4.648; P= 0.010). Conclusion. Nearly one in every two mothers have early discontinuation of contraceptive implants. Factors associated with early implant removal were the experience of side effects, lack of effective counseling before insertion, and staying in rural areas. Hence, health workers should provide adequate counseling services before insertion of the implant with emphasis on possible side effects and their immediate management. Spouses, where possible, should be involved during the counselling to increase implant retention. Also proper screening of women for pregnancy before insertion of an implant should be routine.

scholarly journals Spatial distribution and associated factors of underweight in Ethiopia: An analysis of Ethiopian demographic and health survey, 2016

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242744
Author(s):  
Biruk Shalmeno Tusa ◽  
Adisu Birhanu Weldesenbet ◽  
Sewnet Adem Kebede
Keyword(s):  
Spatial Distribution ◽  
Cigarette Smoking ◽  
Health Survey ◽  
Associated Factors ◽  
Hot Spot ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Wealth Index ◽  
P Value ◽  
Data Set

Background Underweight is one form of indicators of under-nutrition, which results from the poor nutrient intake and underlying health problems. Its impact is beyond an individual and extends to a country level. It has been known from the literature that underweight has a negative effect on income and development of a country. In the context of Ethiopia, factors predicting underweight remain unknown and there is a paucity of evidence on geographical distribution of underweight among individuals aged 15–49 years. Therefore, the aim of this study was to examine the geographic distribution of underweight and its associated factors among individuals aged 15–49 years in Ethiopia. Methods Secondary data analysis was done on a data set consisting of 28,450 individuals and obtained from the Ethiopian Demography and Health Survey (EDHS) 2016. The spatial distribution of underweight across the country was identified by ArcGIS software. Hotspots analysis was done using Getis-Ord Gi* statistic within ArcGIS. In SaTScan software, the Bernoulli model was fitted by Kulldorff’s methods to identify the purely spatial clusters of underweight. A binary logistic regression was applied to determine factors associated with being underweight. Result In Ethiopia, the spatial distribution of underweight was clustered with Global Moran’s I  =  0.79 at p-value < 0.0001. The highest underweight clusters were observed in Tigray, Gambella, eastern part of Amhara, and western and central part of Afar regions. Male individuals [AOR = 1.21; 95% CI: (1.15 1.28)], never married [AOR = 1.14; 95% CI: (1.05, 1.24)], rural residents [AOR = 1.32; 95% CI: (1.18, 1.47)], rich [AOR = 0.85; 95% CI: (0.76, 0.94)], cigarette smoking [AOR = 1.25; 95% CI: (1.07, 1.46)], drinking treated water [AOR = 0.91; 95% CI: (0.83, 0.99)] and open filed defecation [AOR = 1.17; 95% CI: (1.08, 1.26)] were found to have a significant association with being underweight. Conclusions There was a significant clustering of underweight among individuals aged 15–49 years. Gender, age, marital status, place of residence, wealth index, cigarette smoking, using untreated water and types of toilet were the significant factors of being underweight. Therefore, effective public health interventions like building safe and supportive environments for nutrition, providing socio-economic protection and nutrition-related education for poor and rural resident would be better to mitigate these situations and associated risk factors in hot spot areas. In addition, policymakers should strengthen and promote nutrition sensitive policies and activities in order to alleviate the underlying and basic causes of underweight.

scholarly journals The Relationship between Demographic Status and Comorbid Disease with the Risk of Chronic Kidney Disease in the Cut Meutia Hospital, Aceh Utara Regency

2020 ◽  
Vol 3 (3) ◽  
pp. 2090-2101
Author(s):  
Anita Marlina ◽  
Said Usman ◽  
Yusni Yusni ◽  
Maimun Syukri ◽  
Hanifa Yusuf
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Secondary Data ◽  
P Value ◽  
Cross Sectional ◽  
Factors Associated ◽  
The Status ◽  
The Republic ◽  
The Relationship

This research aims to analyze the risk factors associated of Chronic Kidney Disease (CKD). This research was conducted in Rumah Sakit Umum Cut Meutia (RSUCM) North Aceh. Based on the Law of the Republic of Indonesia No. 39 Year 2009 regarding the prevention and control of disease not contagious is an attempt to improve the health of the community through activities promotive and preventive. This research is a cross sectional analytic research with a retrospective approach, this research is by searching the previous data. The data used in this study are secondary data at Rumah Sakit Umum Cut Meutia (RSUCM), North Aceh Regency in 2019, which aims to analyze risk factors associated with Chronic Kidney Disease (CKD). This research was conducted at Rumah Sakit Umum Cut Meutia (RSUCM), North Aceh District from 8 to 9 June 2020. The population included in this study were all patients with chronic kidney disease who received treatment at the Cut Meutia General Hospital in North Aceh Regency for the period January - December 2019 as many as 640 people.There is a relationship between the status of the demographics on the gender with risk the occurrence of disease chronic kidney where p value 0,452. There is relationship between disease comorbid in hypertension with the risk of the occurrence of disease chronic kidney where p value by 0,000. The relationship between disease comorbid in diabetes risk the occurrence of disease chronic kidney where p value by 0,000.

scholarly journals Early Contraceptive Implants Removal and its Associated Factors Among Women Using Implants at a National Referral Hospital, Kampala Uganda

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ssebatta G
Keyword(s):  
Side Effects ◽  
Rural Areas ◽  
Associated Factors ◽  
Health Workers ◽  
Implant Removal ◽  
P Value ◽  
Multivariable Logistic Regression Model ◽  
Early Discontinuation ◽  
Factors Associated ◽  
Contraceptive Implants

Background: Early discontinuation of implant contraceptive methods and reasons for discontinuation remains a major concern for family planning programs and is generally higher in developing countries. Discontinuation is closely related to higher rates of the overall fertility rate and unwanted pregnancies, leading to a possibly induced abortion. The proportion and factors associated with early contraceptive implant removal are not well known in Uganda. The study's objective was to determine the magnitude of early implant discontinuation among women receiving implant services in the study area and its associated factors. Methods: A facility-based cross-sectional study was conducted from 2nd January to 3rd March 2020 through a face-to-face interview. A total of 207 Implant user women were selected by systematic random sampling technique. SPSS version 20 was used for both data entry and analysis. Factors associated with early Implant discontinuation were analyzed using a binary and multivariable logistic regression model. Variables with a p-value of <0.05 and a 95% confidence interval were considered as statistically significant. Results: The proportion of early implant discontinuation was 42%. Factors associated with early implant discontinuation included; experience of side effects (OR=2.629; 95%CI:1.095-6.314; P=0.031), not having received pre-insertion counseling about the benefits and side effects of contraceptive implants (OR=2.565; 95%CI: 1.190-5.532; P= 0.016) and staying in rural areas (OR= 2.390; 95%CI: 1.229-4.648; P= 0.010). 1 Conclusion: Nearly one in every two mothers have early discontinuation of contraceptive implants. Factors associated with early implant removal were side effects, lack of effective counseling before insertion, and staying in rural areas. Hence, health workers should provide adequate counseling services before inserting the Implant, emphasising possible side effects and their immediate management. Spouses, where possible, should be involved during the counselling to increase implant retention. Also, proper screening of women for pregnancy before insertion of an implant should be routine.

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