A cross-sectional study on the association between varied social support modalities and glycemic levels amongst diabetic patients residing in Machakos County, Kenya.

Introduction: diabetes is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces. While there's increasing evidence that social support from caregivers improves health outcomes in chronic illness management, the potential associations of the different types of social support and glycemic control among Type II diabetes clients have largely been ignored in Kenya. This cross-sectional study sought to establish the association between tangible, emotional, and informational social support and glycemic levels among clients diagnosed with Type II diabetes in Machakos County, Kenya. Methods: semi-structured interviews were conducted with 726 randomly selected Type II diabetes clients enrolled in diabetes care and treatment programs in government-owned public health facilities in Masinga and Matungulu sub-counties, Machakos, Kenya. Descriptive statistics and multinomial logistic regression were conducted to elucidate any associations. Results: seventy-three percent (73%) of the respondents were female, and 27% were male, with the majority (77.9%) being above 50 years and having lived with diabetes for over 3 years (61.5%). Opportunities for social support existed, with 62% of the respondents living with more than 2 persons above 18 in their households. From the Random Blood Glucose test analysis, 38.9% of the clients had high glycemic levels, partly because the majority (66.9%) of the respondents did not practice good diabetes self-management practices at the time of the study. While all three types of social support were reported as provided, only 30.6% reported receiving adequate social support. An association was found between social support and glycemic levels with respondents receiving adequate informational- P<0.05, OR 1.92, emotional -P<0.05, OR 3.7, and tangible support -P<0.05, OR 4.1 more likely to have better glycemic control than those with inadequate support. Conclusion: clients receiving adequate informational, emotional, and tangible social support were 2, 4, and 4 times, respectively, likely to have better glycemic control than those with inadequate support. Of the three types of social support, tangible support was most needed. Ultimately, a greater understanding of these interactions through longitudinal studies is required to identify solutions and optimize glycaemic control for diabetes clients in Kenya and beyond.

A cross-sectional study of antimicrobial use among self-medicating COVID-19 cases in Nyeri County, Kenya.

BACKGROUND: During the COVID-19 pandemic, Nyeri County in Kenya was among the regions reporting a high number of confirmed cases. This exemplified the increased need of addressing potential antimicrobial resistance (AMR) and self-medication during disease outbreaks. This study examined the extent of self-medication with antimicrobials among COVID-19 confirmed cases in the County. METHODS: A cross-sectional survey using phone-based interviews was conducted in August 2021 among a sample of 280 out of 2317 confirmed COVID-19 cases in the County using a pre-coded questionnaire. Descriptive analyses of frequencies and causal logistic regression were conducted using STATA version 13. RESULTS: A total of 193 (68.9%) of the respondents indicated developing COVID-19 related symptoms-mainly cough (41.5%), headache (38.3%), and fatigue (34.7%). Over one-fifth (23.4%) of the respondents had self-medicated with antibiotics, 60.6% of whom did so at the onset of symptoms before the confirmatory test, and 51.5% self-medicating more than once. Common antibiotics used were Azithromycin (40.0%) and Amoxycilline (23.3%), with a considerable 21.7% having difficulty remembering the name of the drugs. Only half (50.4%) of the respondents (128/254) were aware of regulations towards self-medication with antibiotics. Age was the only socio-demographic variable significantly related to reduced self-medication, with older persons less likely to self-medicate. On the other hand, developing COVID-19 symptoms, awareness of COVID regulations, and appreciation of the need for self-medication awareness were related to increased self-medication. CONCLUSION: Being older, developing COVID-19 symptoms, and appreciating self-medication awareness have influential effects on the use of antimicrobials. Public health interventions should be timely during infectious disease outbreaks to prevent undesirable health-seeking behavior such as irrational antimicrobial use. AMR policies should enhance awareness of the risks of self-medication and address barriers that deter people from timely access of health services during disease outbreaks. Further research should be conducted on the self-medication and AMR nexus, especially during health emergencies.

The prevalence and associated factors of undernutrition among under-five children in South Sudan using the standardized monitoring and assessment of relief and transitions (SMART) methodology.

BACKGROUND: Conflict regions bear the heaviest brunt of food insecurity and undernutrition. South Sudan is one of the fragile countries following years of conflict that led to large displacements. Moderate to severe undernutrition among under-five children has been associated with elevated morbidity and mortality. This study, therefore, was conducted to assess the magnitude and factors influencing undernutrition (wasting, underweight and stunting) among children aged 6 to 59 months in Yambio County, South Sudan. METHODS: A cross-sectional study was conducted from 26 October to 6 November 2018 in Yambio County, South Sudan among 630 children aged 6-59 months from the 348 households surveyed in 39 clusters using two-stage cluster sampling design. Data were collected using questionnaires and nutritional anthropometric measurements. The Standardized Monitoring and Assessment of Relief and Transitions (SMART) Methodology was followed to obtain the prevalence of wasting, underweight and stunting based on respective z scores and according to the 2006 world health organization child growth standards. Data were exported to Stata version 16 for further analysis. Bivariate analysis of independent variables and undernutrition was done using binary logistic regression. Mixed effects logistic regression analysis was conducted to control for possible confounders and account for random effects at household and cluster levels. Unadjusted and adjusted odds ratios (cOR and aOR) with 95% confidence intervals (CI) and p-values were computed. P-values of ≤0.05 were considered statistically significant. RESULTS: The prevalence of undernutrition explained by wasting (weight-for-height Z-score (WHZ) < - 2), underweight (weight-for-age z-scores (WAZ) < - 2) and stunting (height-for-age z-scores (WHZ) < - 2) were 2.3% (1.3-4.1, 95% CI), 4.8% (3.1-7.5, 95% CI) and 23.8% (19.1-29.2, 95% CI). Male sex (aOR [95% CI], p-value: 5.6 [1.10-30.04], p = 0.038), older child's age (aOR [95% CI], p-value: 30.4 [2.65-347.60], p = 0.006) and non-residents (cOR [95% CI], p-value: 4.2 [1.4-12.2] p = 0.009) were associated with increased risk of wasting. Household size (cOR [95% CI], p-value: 1.09 [1.01-1.18] p = 0.029) and younger child age (cOR [95% CI], p-value: 4.2 [1.34-13.23] p = 0.014) were significantly associated with underweight. Younger child age (aOR [95% CI], p-value: 5.4 [1.82-16.44] p = 0.003) and agricultural livelihood (aOR [95% CI], p-value: 3.4 [1.61-7.02] p = 0.001) were associated with stunting. CONCLUSION: Based on a cut off of less than - 2 standard deviations for 2006 World Health Organization (WHO) child growth standards, the wasting prevalence was very low, underweight prevalence was low while stunting prevalence was high. The county lies in the only livelihood region in South Sudan with bimodal reliable rainfall pattern and it seems that the impact of the 2016 conflicts that lead to large displacements may not have greatly affected under-five undernutrition. Interventions targeted at improving food diversity, increasing nutrition knowledge and enhancing resilience in male children might reduce undernutrition. In the short-term, investment in continued surveillance of nutritional status should be a main focus.