scholarly journals Potential factors influencing lymphatic filariasis transmission in “hotspot” and “control” areas in Ghana: the importance of vectors

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Sellase Pi-Bansa ◽  
Joseph Harold Nyarko Osei ◽  
Kwadwo Kyeremeh Frempong ◽  
Elizabeth Elhassan ◽  
Osei Kweku Akuoko ◽  
...  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Seung Jae Kim ◽  
Oh. Deog Kwon ◽  
Kyung-Soo Kim

Abstract Background This study aimed to investigate the prevalence, awareness, treatment, and control rates of dyslipidemia and identify the predictors of optimal control (low-density lipoprotein cholesterol < 100 mg/dL) among patients with diabetes mellitus (DM). Methods A cross-sectional study was conducted using the representative Korea National Health and Nutrition Examination Survey (2014–2018). Overall, 4311 patients with DM, aged ≥19 years, and without cardiovascular diseases were selected, and the prevalence, awareness, treatment, and control rates of dyslipidemia were calculated. Univariate and multivariate logistic regression analyses were conducted to evaluate the factors influencing the optimal control of dyslipidemia. Results Dyslipidemia was prevalent in 83.3% of patients with DM, but the awareness and treatment rates were 36.5 and 26.9%, respectively. The control rate among all patients with dyslipidemia was 18.8%, whereas it was 61.1% among those being treated. Prevalence and awareness rates were also significantly higher in women than in men. Dyslipidemia was most prevalent in those aged 19–39 years, but the rates of awareness, treatment, and control among all patients with dyslipidemia in this age group were significantly lower than those in other age groups. The predictors of optimal control were age ≥ 40 years [range 40–49 years: adjusted odds ratio (aOR) 3.73, 95% confidence interval (CI) 1.43–9.72; 50–59 years: aOR 6.25, 95% CI 2.50–15.65; 60–69 years: aOR 6.96, 95% CI 2.77–17.44; 70–79 years: aOR 9.21, 95% CI 3.58–23.74; and ≥ 80 years: aOR 4.43, 95% CI 1.60–12.27]; urban living (aOR 1.44, 95% CI 1.15–1.80); higher body mass index (aOR 1.27, 95% CI 1.13–1.42); lower glycated hemoglobin levels (aOR 0.71, 95% CI 0.67–0.76); hypertension (aOR 1.53, 95% CI 1.22–1.92); poorer self-rated health status (aOR 0.72, 95% CI 0.62–0.84); and receiving regular health check-ups (aOR 1.58, 95% CI 1.25–2.00). Conclusions Most patients with DM were diagnosed with dyslipidemia, but many were unaware of or untreated for their condition. Therefore, their control rate was suboptimal. Thus, by understanding factors influencing optimal control of dyslipidemia, physicians should make more effort to encourage patients to undergo treatment and thus, adequately control their dyslipidemia.


2012 ◽  
Vol 25 (8) ◽  
pp. 882-896 ◽  
Author(s):  
Burcin Ekser ◽  
Chih C. Lin ◽  
Cassandra Long ◽  
Gabriel J. Echeverri ◽  
Hidetaka Hara ◽  
...  

2016 ◽  
Vol 11 (8) ◽  
pp. 56 ◽  
Author(s):  
Raed Alotaibi ◽  
Luke Houghton ◽  
Kuldeep Sandhu

<p>In Saudi Arabia, Mobile government (m-government) is in its infancy. This study aims to explore potential factors influencing adoption of m-government services in Saudi Arabia to improve future implementation. The review of the relevant literature revealed a lack of research regarding the factors that may potentially influence the adoption m-government services in Saudi Arabia by using TAM model based on the perspective of experts in Yesser. To examine relationships between external factors and behavioural intention to use (BIU) in the TAM model, a qualitative study was conducted using semi-structured interviews with five experts from Yesser. Analysis demonstrated that the factors of trustworthiness, usage experience, awareness and security might influence the adoption of m-government services in Saudi Arabia. The results of the qualitative study also demonstrated that enjoyment does not influence the adoption of m-government services in Saudi Arabia. These findings may help decision makers in Saudi government to improve future implementation of m-government services.</p>


2018 ◽  
pp. 47-58
Author(s):  
Shailja Misra-Bhattacharya ◽  
Mohd. Shahab

2016 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Salat Khalif Abdow ◽  
Dr. Kennedy Ogollah

Purpose: The purpose of this study was to determine the factors influencing strategic responses to external environment by deposit taking SACCOS in Nairobi County: a study of Unaitas Sacco.Methodology: The research adopted case study research design. The target population of the study was 11 directors and 600 employees of Unaitas Sacco. The sample size consisted of 61 (10% of the target population) directors and employees of Unaitas Sacco. Stratified random sampling was used in the study to select the one director and the 60 employees of Unaitas Sacco. The study used primary data. The data collection instruments that were used in this study were the interview guide and questionnaire. The qualitative analysis was done using content analysis. Quantitative data analysis employed descriptive statistics and factor analysis.  Descriptive statistics included frequencies, percentages, means and standard deviation. Results were presented in form of tables and charts. Particular statistics in factor analysis was scale plot and commonalities.Results: The study found that reference to past strategy organization external dependence, consideration of level of risk and Organizational Culture greatly influences the choice of strategic response. In addition managerial competence, organizational structure and control processes, time available and availability of resources also greatly influence the choice of strategic responseUnique contribution to theory, practice and policy: The study recommends that Unaitas to invest more in the latest technology and start agency banking as a strategy of expanding its market share and product differentiation.


2018 ◽  
Vol 69 (04) ◽  
pp. 338-344
Author(s):  
SIMION CEZAR-PETRE ◽  
ALEXANDRU ADRIANA ◽  
CEPTUREANU SEBASTIAN ION ◽  
CEPTUREANU EDUARD GABRIEL

In this paper the main factors that influence the innovative projects in the field of textiles, wearing apparel, leather and related products were identified and analyzed. Eleven potential factors influencing innovative projects have been considered and the correlation analysis has identified the two factors that have a major influence on innovative projects in the field: volume index of production in European Union for NACE codes 13-15 and exports value for textiles, wearing apparel, leather and related products. The research has shown that the scale of innovative projects in textiles, clothing, leather and related products depends on European Union production and on global demand.


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