Workplace Assessment of Hypertension: Prevalence and Awareness in a Food Processing Industry in Owerri Nigeria

Onoh, Charles C.; Nwaogazie, Ify L.

doi:10.9734/ijtdh/2016/25873

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The non-communicable diseases could be attributed to the unhealthy feeding habits and adoption of western diets/lifestyle and globalization. This is consistent with the ongoing nutritional and epidemiologic transition observed in developing countries (Onoh & Nwaogazie, 2015 …”

Section: Discussionsupporting

confidence: 67%

Magnitude and Pattern of Disease Presentation among Students in Federal University of Technology Owerri Nigeria

Onoh¹,

Aguocha²,

Osuagwu³

et al. 2017

IOSR JDMS

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Students' wellbeing is paramount to their effective participation in academic and extracurricular activities. This study described the prevalence and pattern of disease presentation among students attending Federal University of Technology Medical Centre, Owerri, Nigeria. A descriptive cross-sectional hospital based study of consecutive 552 students who gave their informed consent. Data were extracted through clerking, examination and laboratory investigations and they included socio-demographic information and diagnoses. These data were entered into Microsoft Excel 2016 and transported to Xlstat 2015 for analysis. The age distribution of the students revealed that majority of the students (46.4%) were within the age bracket of 17-23years. The mean age of the students was 24 years. The majority of the students (22.6%) were drawn from the School of Engineering and Engineering Technology. The disease pattern of students showed that typhomalaria fever was most prevalent (33.5%), malaria (28.9%), upper respiratory tract infection (21.3%), hypertension (7.3%), peptic ulcer disease (5.7%) and typhoid (3.6%). Malaria was most prevalent during the rainy season in the months of June and July, 36.5% and 35.1% respectively. Strengthening of the primary health care system, application of the principles of integrated vector management and investing substantially in specialist care model will lessen the burden of diseases in the University community.

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Section: Discussionsupporting

confidence: 67%

Magnitude and Pattern of Disease Presentation among Students in Federal University of Technology Owerri Nigeria

Onoh¹,

Aguocha²,

Osuagwu³

et al. 2017

IOSR JDMS

View full text Add to dashboard Cite

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Empirical Analysis of Absenteeism at Work Place Using Machine Learning

Priyanka¹,

Nayak²

2019

Learning and Analytics in Intelligent Systems

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Employee Attrition and Absenteeism Analysis Using Machine Learning Methods

Mansurali

Rajagopal

Subbaiah³

2023

Advances in Human Resources Management and Organizational Development

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HR analytics has been envisaged as recent research trend for providing a comprehensive decision support system to the top level management in terms of employee's performance, recruitment and behaviour analysis. Globally, organizations are using technology to support and ease HR processes. Every organization should give maximum value to every available human resource, and they should minimize the attrition and absenteeism rate and ensure what are the factors that contribute towards employee attrition as well as the causes for workmen absenteeism. The ultimate objective is to correctly identify attrition and absenteeism in order to assist the company to improve retention tactics for key personnel and increase employee satisfaction. Through this chapter, a machine learning-based model is proposed to get quick results for such employee attrition and workmen absenteeism. The model is trained and tested for its accuracy. The result shows that the proposed model has high sensitivity. The managerial implications are also discussed for taking informed decisions.

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Workplace Assessment of Hypertension: Prevalence and Awareness in a Food Processing Industry in Owerri Nigeria

Cited by 4 publications

References 5 publications

Magnitude and Pattern of Disease Presentation among Students in Federal University of Technology Owerri Nigeria

Magnitude and Pattern of Disease Presentation among Students in Federal University of Technology Owerri Nigeria

Empirical Analysis of Absenteeism at Work Place Using Machine Learning

Employee Attrition and Absenteeism Analysis Using Machine Learning Methods

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