Background Internet addiction is one of the fast-growing addictive behaviors and is a significant public health problem affecting a large number of people worldwide. Excessive use of the internet among university students increases their risk of internet addiction and related negative consequences. This study aimed to determine the prevalence and factors associated with internet addiction among medical and allied health sciences students in northern Tanzania. Methods This cross-sectional study was conducted at Kilimanjaro Christian Medical University College (KCMUCo) from May to June 2018. A total of 500 consenting undergraduate students were sampled using the Simple Random Sampling technique proportional to the size of each class and a self-administered questionnaire used to collect data. Internet addiction was measured using a 20-item internet addiction test (IAT-20). Generalized linear model with Poisson family and log link function was used to estimate prevalence ratio (PR) and the corresponding 95% confidence intervals for factors associated with internet addiction. Results The prevalence of internet addiction was 31%. Undergraduate students using the internet at the college were less likely to be addicted to internet (PR = 0.45, 95%CI 0.23, 0.86, p = 0.02) compared to those using both at the hostel/home and college. Higher prevalence of internet addiction was among those who used internet for a long time, i.e., 5 h or more per day (PR = 1.84, 95%CI 1.30, 2.63, p = 0.001) and for social networking (PR = 1.64, 95%CI 1.17, 2.31, p = 0.004) compared to those who used for less than 5 h per day and academic purposes, respectively. Conclusions Thirty-one percent of undergraduate students in northern Tanzania were addicted to the internet. Internet addiction was associated with using the internet at the college, a long time using the internet per day, and social networking. The college administration should put effort into improving the accessibility, reliability, and regulation of college internet services to promote learning and academic productivity. We also recommend awareness creation intervention about the harmful consequences of excessive internet use in this population. More studies are needed to determine the burden of mental, psychological, and social problems associated with internet addiction in high-risk populations, and associated consequences.

Background Red meat is an important dietary source of protein and other essential nutrients. Its high intake has been associated with an increased risk of cardiovascular morbidity and mortality, including hypertension (HTN) and hyperlipidaemia (HLP). Despite being physically active, the Maasai at Ngorongoro Conservation Area (NCA) depend heavily on animals' products as their staple food with fewer intakes of vegetables or fruits due to restriction from carrying out agricultural activities within the NCA. This study aimed at determining the prevalence of HTN and HLP and their association with red meat consumption among adult Maasai of NCA. Methods A community-based cross-sectional study was conducted in October 2018 using multistage sampling technique. Eight hundred and ninety-four (894) participants enrolled from seven villages in three wards within NCA Data were collected using a modified WHO NCDs-STEPS tool. Anthropometric measurements, blood pressure (BP) measurements, and blood samples for glucose and cholesterol tests were obtained from the study participants. Crude and adjusted prevalence ratio (PR) for factors associated with HTN and HLP were estimated using Ordinal and Bayesian logistic regression models, respectively. Results The prevalence of HLP was 23.7 percent. The levels were higher among males than were among the females (29.0% vs. 20.1%, p = 0.002). The prevalence of HTN and pre-HTN (elevated BP) were 9.8 and 37.0 percent, respectively. Both HTN and elevated BP were higher

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BackgroundMale involvement in antenatal care (ANC) is among interventions to improve maternal health. Globally male involvement in ANC is low and varies in low-income and middle-income countries including Tanzania where most maternal deaths occur. In Sub-Sahara, men are chief decision makers and highly influence maternal health. In Tanzania information is limited regarding influence of male involvement during ANC on utilisation of maternal health services.ObjectivesTo determine the effect of male involvement during ANC on use of maternal health services in Mwanza, Tanzania.DesignA cross-sectional study conducted from June to July 2019.SettingThis study was conducted at seven randomly selected health facilities providing reproductive, maternal and child health (RCH) services in Mwanza City.ParticipantsIncluded 430 postpartum women who delivered 1 year prior to the study and attending for RCH services (growth monitoring, vaccination, postpartum care).Outcome measures4 or more ANC visits, skilled birth attendant (SBA) use during childbirth and postnatal care (PNC) utilisation 48 hours after delivery.MethodsInterviews and observation of the women’s ANC card were used to collect data. Data was entered, cleaned and analysed by SPSS.ResultsThe mean age of participants was 25.7 years. Of 430 women, 54.4% reported their partners attended ANC at least once, 69.7% reported they attended for four or more ANC visits during last pregnancy, 95% used SBAs during childbirth and 9.2% attended PNC within 48 hours after delivery. Male involvement during ANC was significantly associated with four or more ANC visits (Crude Odds Ratio (COR): 1.90; 95% CI: 1.08–3.35) but not with SBA use or PNC utilisation.ConclusionMale involvement in ANC is still low in Mwanza, as 46% of the partners had not attended with partners at ANC. Alternative strategies are needed to improve participation. Studies among men are required to explore the barriers of participation in overall RCH services.

Background Albumin is an important protein that transports hormones, fatty acids, and exogenous drugs; it also maintains plasma oncotic pressure. Albumin is considered a negative active phase protein because it decreases during injuries and sepsis. In spite of other factors predicting surgical outcomes, the effect of pre and postoperative serum albumin to surgical complications can be assessed by calculating the percentage decrease in albumin (delta albumin). This study aimed to explore perioperative serum albumin as a predictor of adverse outcomes in major abdominal surgeries . Methods All eligible adult participants from Kilimanjaro Christian Medical Centre Surgical Department were enrolled in a convenient manner. Data were collected using a study questionnaire. Full Blood Count (FBP), serum albumin levels preoperatively and on postoperative day 1 were measured in accordance with Laboratory Standard Operating Procedures (SOP). Data was entered and analyzed using STATA version 14. Association and extent of decrease in albumin levels as a predictor of surgical site infection (SSI), delayed wound healing and death within 30 days of surgery was determined using ordinal logistic regression models. In determining the diagnostic accuracy, a Non-parametric Receiver Operating Curve (ROC) model was used. We adjusted for ASA classification, which had a negative confounding effect on the predictive power of the percent drop in albumin to adverse outcomes. Results Sixty one participants were studied; the mean age was 51.6 (SD16.3), the majorities were males 40 (65.6%) and post-operative adverse outcomes were experienced by 28 (45.9%) participants. In preoperative serum albumin values, 40 (67.8%) had lower than 3.4 g/l while 51 (91%) had postoperative albumin values lower than 3.4 g/l. Only 15 (27.3%) had high delta albumin with the median percentage value of 14.77%. Delta albumin was an independent significant factor associated with adverse outcome (OR: 6.68; 95% CI: 1.59, 28.09); with a good predictive power and area under ROC curve (AUC) of 0.72 (95% CI 0.55 0.89). The best cutoff value was 11.61% with a sensitivity of 76.92% and specificity of 51.72%. Conclusion Early perioperative decreases in serum albumin levels may be a good, simple and cost effective tool to predict adverse outcomes in major abdominal surgeries.