scholarly journals Prevalence and Factors Associated with Problematic Internet Use among Ethiopian Undergraduate University Students in 2019

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Nebiyu Mengistu ◽  
Desalegn Tarekegn ◽  
Yesuneh Bayisa ◽  
Solomon Yimer ◽  
Derebe Madoro ◽  
...  
Keyword(s):  
Logistic Regression ◽  
University Students ◽  
Undergraduate Students ◽  
Low Income ◽  
Internet Use ◽  
Statistical Significance ◽  
Multivariate Logistic Regression Analysis ◽  
Problematic Internet Use ◽  
Occurrence Rate ◽  
Factors Associated

Background. Problematic Internet use is characterized by excessive or poorly controlled preoccupations, urges, or behavior regarding computer use and Internet access which lead to impairment or distress. It has been found that the occurrence rate of problematic Internet use among university students ranges from 0.8% to 47.7%. Despite this, there are multiple challenges that relate to problematic Internet use, which remain underrecognized and largely ignored by stakeholders and are not well known, especially in low-income countries, including Ethiopia. Therefore, this study was conducted aiming to assess the prevalence of problematic Internet use and its associated factors among undergraduate students. Methods. Cross-sectional study was employed from May 1st to June 1st, 2019. A multistage sampling technique was used to get a total of 846 undergraduate students. Data were collected by using self-administered structured questionnaires of Young’s Internet Addiction Test. The collected data were coded and entered into EpiData 3.1 and analyzed by using SPSS version 22; bivariate and multivariate logistic regression analysis was conducted to identify factors associated with problematic Internet use, and statistical significance was considered at P value <0.05. Results. For a total of 846 study participants, the response rate was 761 (90%) and the prevalence of problematic Internet use was 19.4%. Multiple logistic regression model revealed that being male [AOR = 1.69, 95% CI: 1.80, 6.41], depression [AOR = 3.61, 95% CI: 2.40, 5.43], and khat or caffeinated drinks [AOR = 1.86, 95% CI: 1.21, 2.87] were significantly associated with problematic Internet use. Conclusion. This study revealed that there was high prevalence of problematic Internet use among Dilla University students and there were various factors associated with increased prevalence of problematic Internet use. Therefore, students need to be educated about the safe, valuable, and healthy practices of Internet use. Furthermore, it is better to counsel on substance use and its consequences to overcome the anticipated increase in problematic Internet use.

scholarly journals Internet Addiction and its Associated Factors Among Dilla University Undergraduate Students, Dilla, Ethiopia, 2019: A Cross-Sectional Study

2021 ◽  
Author(s):  
Nebiyu Mengistu ◽  
Desalegn Tarekegn ◽  
Wondwosen Molla ◽  
Seid Shumye
Keyword(s):  
Logistic Regression ◽  
University Students ◽  
Undergraduate Students ◽  
Internet Addiction ◽  
Associated Factors ◽  
Internet Use ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated

Abstract Background: Internet addiction is characterized by excessive or poorly controlled preoccupation, urges or behavior regarding computer use and internet access that lead to impairment or distress. Globally, it has been found that the occurrence rate of internet addiction among university students ranges from 0.8% to 47.7%. Despite, there are multiple challenges that related with internet addiction which remains under-recognized and largely ignored by stakeholders and also not well known especially in low income countries including Ethiopia. Therefore, this study was conducted aimed to assess the magnitude of the internet addiction and its associated factors among undergraduate students. Methods: Institutional based cross-sectional study was employed from May 1st to June 1st 2019. Multi-stage sampling technique was used to get a total of 846 undergraduate Students. Data was collected by using self-administered structured questionnaires of Young’s Internet Addiction Test. The collected data was coded and entered into EPIDATA 3.1 and analyzed by using SPSS version 22, Bivariate and multivariate logistic regression analysis was conducted to identify factors associated with internet addiction and statistically significant was considered at P-value <0.05. Results: A total of 846 study participants, giving a response rate were 761 (90%) and the prevalence of internet addiction was 19.4%. Multiple logistic regression model revealed that being male [AOR=1.69, 95% CI: (1.80, 6.41)], probable depression [AOR =3.61, 95% CI (2.40, 5.43)] and khat or caffeinated drinks [AOR=1.86, 95%CI: (1.21, 2.87)] were significantly associated with internet addiction.Conclusion: This study revealed that a high prevalence of internet addiction among Dilla university students and there were various factors associated with increased prevalence of problematic internet use. Therefore, students need to be educated about safe, valuable, and healthy practice of internet use and better to counsel on substance use and its consequences and also psychiatric evaluation (referring for mental health services) to overcome the anticipated increase in internet addiction

An Explanatory Model of Problematic Internet Use of Southern Spanish University Students

2021 ◽  
pp. 089443932199865
Author(s):  
José-María Romero-Rodríguez ◽  
José-Antonio Marín-Marín ◽  
Francisco-Javier Hinojo-Lucena ◽  
Gerardo Gómez-García
Keyword(s):  
University Students ◽  
Undergraduate Students ◽  
Internet Addiction ◽  
Structural Equation ◽  
Internet Use ◽  
Sociodemographic Factors ◽  
Equation Model ◽  
Problematic Internet Use ◽  
Moderate Degree ◽  
Cross Sectional

The problematic Internet use (PIU) has become a topic of special relevance since it is a problem that affects the whole world. It has been detected that the population at greatest risk is university students along with adolescents. At the same time, Spain is one of the countries with the highest PIU rate. The purposes of this article were to analyze the presence and degree of Internet addiction among university students and to check the sociodemographic factors that influence the PIU. To this end, 13 hypotheses were put forward and contrasted using a structural equation model. The study adopted a cross-sectional approach by applying the Internet addiction test to a sample of undergraduate students in southern Spain ( n = 1,013). The results indicated a prevalence of PIU among students of almost 12.5% and with a moderate degree of addiction. In turn, the following hypotheses that had a significant effect on the PIU were supported: gender; field of knowledge; living in the parents’ home; Internet daily use for leisure; Internet daily use for academic purposes; number of social networks; sexual orientation; marital status. Finally, the main findings of the study were reviewed, and the main recommendations and implications for mitigating the negative effects of technology and enhancing the positive ones were established.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

scholarly journals Serum Epidemiological Analysis and Risk Factors Associated with Leptospira spp. in Cattle in the State of Piauí

2017 ◽  
Vol 45 (1) ◽  
pp. 11
Author(s):  
Siluana Benvindo Ferreira ◽  
Katiene Régia Silva Sousa ◽  
Vanessa Castro ◽  
Sabrina Thabla Pereira Lopes ◽  
Sávio Benvindo Ferreira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Control Measures ◽  
Factors Associated ◽  
Leptospira Spp

Background: Leptospirosis is a cosmopolitan zoonosis caused by pathogenic spirochetes of the genus Leptospira spp. and it is considered one of the main causes of reproductive problems in cattle. Therefore, the aim of this study was to determine the occurrence of anti-Leptospira antibodies and identify the prevalent serovars and risk factors associated with infection in cattle herds, in the microregion of Floriano, Piaui State, Brazil.Materials, Methods & Results: A total of 414 bovine sera samples were collected (390 females aged over 24 months and 24 bulls) from 22 properties (farms) in the municipalities that compose the study area. The samples were analyzed using the Microscopic Agglutination Test (MAT) to detect anti-Leptospira antibodies from 23 pathogenic serovars. An epidemiological questionnaire was applied in each farm to evaluate the risk factors, using a univariate analysis of the variables of interest, by Pearson’s Chi-square test (χ2) or Fisher’s exact test, when it was necessary. Then, each independent variable was crossed with the dependent variable and those that presented statistical significance <0.20 were selected for multivariate analysis, using logistic regression, adopting a significance level of 5%. This research identified 143 positive animals (MAT> 1: 100) in the 22 evaluated farms; all of them had at least one positive animal, resulting in a prevalence of 34.54%, with 32,8% females (136) and 1,7% males (07), and 8,93% (37) of co-agglutination. Nineteen of the 23 tested serovars were identified; among them, Icterohaemorrhagiae (42.48%), Hardjo (31.2%), Pomona (4.3%), and Castellonis (4.3%) stood out. Absence of quarantine (OR = 16.172, P = 0.024), vaccination (OR = 0.090, P = 0.037) and isolation of diseased animals (OR = 0.006, P = 0.030) were identified, by the multivariate logistic regression analysis, as risk factors for any serovar of Leptospira spp.Discussion: The results of the present study showed that leptospirosis is present in all studied municipalities, in which the prevalence may be related to the variety of factors that influence the occurrence of the disease, such as climatic and environmental conditions, transit of animal, practices of management adopted in the herd, and the lack of information about the disease. The occurrence of co-agglutination can be explained by the possibility of multiple and concomitant contaminations with several serovars. Icterohaemorrhagiae was the most prevalent serovar, which has significant importance to public health since it is considered the main serovar of leptospirosis in humans, associated with the presence of rodents. On the other hand, the serovar Hardjo is related to the chronic leptospirosis in cattle, demonstrated through reproductive problems. The serovars Castellonis and Pomona were also observed in bovine herds, suggesting a possible transmission of the microorganism between animal species, probably due to exposure to the same sources of infection. In fact, the large number of serovarieties of Leptospira spp. indicates the presence of one or more maintenance hosts, which are natural reservoirs of this infection. The risk factors confirmed in the logistic regression analysis probably occur due to failures in sanitary management. It is concluded that Leptospira spp. is disseminated in cattle in the studied region, with the presence of several serovars, which reinforces the need for intensifying the prevention and control measures, such as vaccination.

scholarly journals Prevalence and Factors Associated with Antepartum Depression: A University Hospital-Based

2021 ◽  
Vol 73 (10) ◽  
pp. 652-660
Author(s):  
Pavarisa Choosuk ◽  
Jarurin Pitanupong ◽  
Chitkasaem Suwanrath
Keyword(s):  
Logistic Regression ◽  
Unintended Pregnancy ◽  
Low Income ◽  
Multivariate Logistic Regression Analysis ◽  
Self Esteem ◽  
Multivariate Logistic Regression ◽  
Care Clinic ◽  
Thai Women ◽  
Factors Associated ◽  
Antepartum Depression

Objective: This study aimed to assess the prevalence of and factors associated with antepartum depression among Thai women. Materials and Methods: All pregnant women attending the Antenatal Care Clinic at Songklanagarind Hospital from June to August 2020 were invited to participate and evaluated through self-administered questionnaires. Multivariate logistic regression models were used for the data analysis in order to control for potential confounders. Results: 435 women were in their first, second, and third trimester of pregnancy (20.2 %, 39.5 %, and 40.2 %, respectively). The majority of them reported normal Rosenberg’s Self-esteem Scale scores (83.4 %) and a high level of perceived social support (74.5 %). Moreover, according to the Edinburgh Postnatal Depression Scale (EPDS) scores, the prevalence of antepartum depression was 10.6 %. A multivariate logistic regression analysis showed that factors associated with antepartum depression were second trimester of pregnancy, survival and below-survival levels of income, unintended pregnancy, and low level of self-esteem. Conclusion: One-tenth of pregnant Thai women suffered from depression. Advanced gestational age, low income, unintended pregnancy, and low self-esteem were significant factors associated with antepartum depression.

Factors Associated with Intention to Vaccinate against COVID-19 in Puerto Rico: An Online Survey of Adults (Preprint)

2021 ◽  
Author(s):  
Kyle Melin ◽  
Cheyu Zhang ◽  
Juan Pablo Zapata ◽  
Yonaira M. Rivera ◽  
Katie Fernandez ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Puerto Rico ◽  
Online Survey ◽  
Multivariate Logistic Regression Analysis ◽  
International Health ◽  
Bivariate Analysis ◽  
Sources Of Information ◽  
Multivariate Logistic Regression ◽  
Factors Associated ◽  
Bisexual Identity

UNSTRUCTURED COVID-19 has been particularly devastating to Black and Latinx communities in the U.S. However, data on acceptability of the COVID-19 vaccines among minority populations are limited. We conducted an online survey among adults in Puerto Rico to identify factors associated with intention to vaccinate against COVID-19. Sociodemographic variables were analyzed independently for association with intention to vaccinate. Significant associations were included in the multivariate logistic regression analysis. A total of 1016 responses were available for analysis. In the bivariate analysis, younger age, higher education, pre-covid employment, male sex, gay/bisexual identity, and single marital status were associated with increased intention to vaccinate. In the multivariate logistic regression, younger, male respondents who had higher educational attainment reported higher intention to vaccinate. Lower-income and living outside the San Juan metro region were associated with lower intention to vaccinate. National and international health organizations were identified as the most reliable sources of information, followed by healthcare professionals. These findings highlight the importance of considering sociodemographic characteristics identified with low intention to vaccinate as well as using trusted sources of information when designing public messaging related to increasing COVID-19 vaccinations.

scholarly journals Prevalence and associated factors of neurodevelopmental disability among infants in eastern Uganda: a population based study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Gertrude Namazzi ◽  
Helena Hildenwall ◽  
Paul Mubiri ◽  
Claudia Hanson ◽  
Christine Nalwadda ◽  
...  
Keyword(s):  
Low Income ◽  
Social Behaviour ◽  
Assessment Tool ◽  
Statistical Significance ◽  
Low Income Countries ◽  
Fine Motor ◽  
Neurodevelopmental Outcomes ◽  
Factors Associated ◽  
Neurodevelopmental Disability ◽  
Eastern Uganda

Abstract Background Neurodevelopmental disability (NDD) is increasingly acknowledged as one of the important causes of disease burden in low income countries. None the less, there is a dearth of data on the burden of NDD and its determinants in these settings. We aimed to establish the prevalence and factors associated with NDD among infants in Eastern Uganda. Methods We assessed 487 infants aged 9–12 months within Iganga-Mayuge Health Demographic Surveillance Site in Eastern Uganda using the Malawi Developmental Assessment Tool. The tool has four domains: gross motor, fine motor, language and social domains. An infant failed a domain if she/he failed more than two parameters of the expected at his/her age. We interviewed mothers on factors that could influence the infants’ neurodevelopmental outcomes. Data were analysed using STATA version 14. We used odds ratios and 95% confidence intervals to assess statistical significance of associations. Results Of the 487 infants, 62(12.7%) had an NDD in at least one of the domains. The most affected was social behaviour where 52(10.7%) infants had an NDD. Severe impairment was seen among 9(1.8%) infants with NDD in either three or four domains. Factors associated with NDD at multivariate logistic regression included: parity of more than three children (aOR = 1.8, 95% CI: 1.02–3.18); failure to cry at birth (aOR = 3.6, 95% CI: 1.46–9.17) and post-neonatal complications (aOR = 4.15, 95% CI: 1.22–14.10). Low birth weight, immediate and exclusive breast feeding were not significantly associated with NDD. Conclusion We found a high NDD burden among infants particularly in the social behaviour domain. To optimise the socio-neural development of infants, programs are needed to educate and work with families on how to engage and stimulate infants. Existing immunisation clinics and community health worker strategies provide an excellent opportunity for stemming this burden.

scholarly journals Problematic Internet Use among University Students and Its Relationship with Social Skills

2021 ◽  
Vol 11 (10) ◽  
pp. 1301
Author(s):  
Miriam Romero-López ◽  
Carmen Pichardo ◽  
Isabel De De Hoces ◽  
Trinidad García-Berbén
Keyword(s):  
Social Skills ◽  
University Students ◽  
Social Relations ◽  
Internet Use ◽  
Self Regulation ◽  
Problematic Internet Use ◽  
Linear Regression Models ◽  
Older Students ◽  
Positive Feeling ◽  
Use Of The Internet

Internet use has been steadily and unstoppably gaining ground in all areas of life, from recreational activities to the establishment of social relations. However, addictive use of the Internet is a problem that seriously affects some people. Factors that may influence the occurrence of inappropriate internet use include age and social skills. For this reason, the aim of this study is to analyze the influence of social skills and age on the development of problematic internet use in university students. The study involved 514 students enrolled at a university in Spain, who filled in two questionnaires, one on problematic internet use and the other on social skills. Multivariate multiple linear regression models revealed that some social skills variables (conversation and social ease, empathic and positive feeling skills, risk coping) predicted problematic internet use. In addition, age played a role in preference for online social interaction and deficient self-regulation. Younger students were more at risk of having obsessive thoughts related to internet use and of engaging in compulsive internet use compared to older students.

scholarly journals Factors associated with depression in the patients with diabetes mellitus type 2

2019 ◽  
Vol 76 (11) ◽  
pp. 1178-1183 ◽  
Author(s):  
Admir Sabanovic ◽  
Natasa Maksimovic ◽  
Mirjana Stojanovic-Tasic ◽  
Marijan Bakic ◽  
Anita Grgurevic
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Diabetes Mellitus Type 2 ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Factors Associated

Background/Aim. The assessment of association of depression and diabetes mellitus type 2 using the Patient Health Questionaire (PHQ-9) has not been done in Montenegro. The aim of this study was to assess the prevalence of depression in the patients with type 2 diabetes mellitus, and to identify the risk factors associated with the presence of depression. Methods. A cross-sectional study was conducted at the General Hospital in Bijelo Polje, from July to September, 2015. It included 70 patients over 35 years of age with the diagnosis of diabetes for at least six months. For the assessment of depression presence and intensity PHQ?9 was used. All variables associated with the presence of depression at a significance level of p < 0.05 were included into the final method of the multivariate logistic regression analysis. Results. Comorbidities were statistically significant more frequent among patients with depression (?2 = 5.40; p = 0.020). Duration of diabetes over five years was significantly associated with depression (?2 = 12.48; p < 0.001). Depression occurred more frequently among physically inactive subjects (?2 = 10.74; p = 0.005). The presence of diabetic polyneuropathy (?2 = 6.04; p = 0.014) and cataract (?2 = 5.351; p = 0.021) were also significantly associated with depression. A multivariate logistic regression analysis showed that the duration of diabetes over five years and presence of cataract were independently associated with depression. Conclusion. The risk factors for depression among the subjects with diabetes were disease duration more than five years and the presence of cataract. Since depression is a serious disease and can be a risk factor for many chronic diseases, the best way of prevention is its early detection and treatment.

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