Ovarian development in the red claw crayfish Cherax quadricarinatus is divided into two major phases, namely primary- and secondary-vitellogenesis. Two anatomically distinctive types of primary-vitellogenic ovary are present: one contains uniform milky white oocytes (in the chromatin, chromatin-nucleolus, early-perinuclear and late-perinuclear stages), while the other contains two diversely colored oocyte populations, the smallest oocytes being uniform milky white and the largest being yellow to orange (i.e., at the lipid stage). Secondary-vitellogenic ovaries are characterized by the presence of a synchronously growing large oocyte group together with oocytes of all the first four, primary-vitellogenic stages. The synchronous group develops from the yolk stage via the prematuration stage into the maturation stage. Polypeptides of relatively low molecular masses (65–95 kDa) are abundant in the primary-vitellogenic ovary containing chromatin to lipid-stage oocytes. Polypeptides of relatively higher molecular masses (<100kDa) were detected both in the secondary-vitellogenic ovary (composed mainly of yolk-stage oocytes) and in newly laid eggs. During secondary vitellogenesis, the high-density lipoprotein (HDL) fraction of the hemolymph contains four secondary vitellogenic-specific polypeptides (208, 196, 177 and 80 kDa) that are not present in the hemolymph of the primary vitellogenic female. In this study we have elucidated the relationship between the progress of gonad maturation, oocyte development and the sequence of appearance of specific polypeptides in the ovary and the hemolymph of C. quadricarinatus.

Background: A nutritional problem, especially under nutrition is one of the common public health problems in older population causing greater mortality and economic loss in developing countries. However, evidences on the risk factors for increased nutritional risk among older population is not well stated in Ethiopia. This study aimed to assess the nutritional status and predictors of malnutrition among older adults (> = 65 years) in Eastern Ethiopia. Methods: A community-based analytical survey was conducted among randomly selected 592 older people aged above 65 years of age in Harari region. Subjects were selected using multistage sampling pretested Full Mini Nutritional Assessment (MNA) tool was used to classify as malnourished (MNA score < 17), at risk of malnutrition (MNA score of 17 to 23.5) and otherwise normal. Validated geriatric depression scale short form (15 items) was employed to screen for depression. Data were presented using statistical tables, frequency, percentage, and graphs. Ordinary logistic regression was employed to identify predictors of malnutrition and plum method was used to generate odds ratio. The level of statistical significance was declared at P-value less than 5%. Chi-square test, crude and adjusted odds ratio with 95% confidence was reported. Results: A total of 592 respondents (93.4%) were interviewed. About 306 (51.7%) and 93 (15.7%) were found to be at risk of malnutrition and malnourished respectively. The predicted log odds of being malnourished was higher among those from rural residents (AOR = 2.08: 1.25–3.45), not on working (AOR = 1.31: 95% CI: 0.87–1.95) and did not have health insurance (AOR = 1.58; 95% CI; 0.97–2.58). Those with chronic pain (AOR = 1.70; 95% CI: 1.15–2.51), previous hospitalization (AOR = 1.59: 95% CI: 1.27–2.38) and not able to cover their personal expense (AOR =1.61: 95% CI: 1.12–2.30) were predictors of malnutrition. The relationship between previous hospitalizations with malnutrition among older adults people is moderated significantly by the presence of chronic pain (β = 0.113, p = 0.015). Conclusions: Malnutrition among old age is a public health concern that needs attention. Economical vulnerability, residence, depression, presence of chronic disease, and hospitalization were important risk factors for malnutrition among old age.

Background: Severe acute malnutrition (SAM) is still the leading cause of global child morbidity and mortality, with a greater burden in sub-Saharan Africa. A facility-based treatment of SAM demands critical care for improved outcomes and survival of children. However, there is a need to understand predictors for time to death among SAM children for effective interventions. Objective: To assess the predictors of death from complicated severe acute malnutrition among admitted children treated in East Ethiopia. Methods: A 31-month retrospective cohort study was conducted among a total of 665 under-five children admitted with complicated SAM in Dilchora hospital, eastern Ethiopia. The data was extracted from the patient register and medical charts using the kobo tool. The life table, survival, and hazard curves were plotted. Kaplan–Meier with Log rank tests was used to estimate and compare the mean survival time. The bivariable and multivariable Cox proportional hazards models were used to identify predictors of time to death. Crude and adjusted hazard ratios with 95% confidence intervals and p-values were reported. Results: A total of 665 full medical charts were reviewed with a total of 60 (9%; 95% CI: 6.8– 11.2%) deaths were observed, where most of the deaths occurred during the first two weeks of admission, while 74 (11%) and 449 (68%) were cured and recovered (stabilized and transferred to outpatient), respectively. Admitted children having good appetite (AHR=0.15; 95% CI: 0.64– 0.33), pneumonia (AHR=2.46, 95% CI: 1.436, 4.22), diarrhea (AHR=2.16, 95% CI: 1.16, 4.06), tuberculosis (AHR=2.86, 95% CI: 1.08, 7.63) and having a nasogastric tube inserted (AHR=2.33, 95% CI: 1.15, 4.72) were significant predictors of time to death among SAM children. Conclusion: There is unacceptably high under-five mortality due to SAM, which is predicted by co-morbidities (pneumonia, diarrhea, and tuberculosis), with medical complications and nasogastric tubes.

Background: Poorly controlled blood glucose is prevalent and contributes to the huge burden of diabetes related morbidity, and central obesity has a great role in the pathogenesis of diabetes and its adverse complications, which could predict such risks, yet evidence is lacking. Hence, this paper is to evaluate the predictive performance of central obesity indices for glycemic control among adult patients with diabetes in eastern Ethiopia.Methods: A survey of 432 randomly chosen patients with diabetes was conducted using a pretested questionnaire supplemented by chart review, anthropometrics, and biomarkers by trained data collectors. The poor glycemic control was assessed using a fasting blood glucose (FBS) level of above 130 and/or an HgA1c level above 7%. Weight, height, waist circumference (WC), and hip circumference (HC) were measured under standard procedures and we calculated waist-to-hip circumference ratio (WHR) and waist-to-height ratio (WHtR). The receiver operating characteristics curve was used to assess the predictive performance of obesity indices for glycemic control using area under the curve (AUC) and corresponding validity measures.Results: A total of 432 (92%) patients with diabetes were enrolled with a mean age of 49.6 (±12.4) years. The mean fasting blood glucose level was 189 (±72) mg dl^-1where 330 (76.4%) (95% CI: 74.4–78.4%) and 93.3% of them had poor glycemic control based on FBS and HgA1c, respectively. WC (AUC = 0.90; 95% CI: 0.85–0.95), WHR (AUC = 0.64; 95% CI: 0.43–0.84), and WHtR (AUC = 0.87; 95% CI: 0.83–0.94) have a higher predictive performance for poor glycemic control at cut-off points above 100 cm, 0.95, and 0.62, respectively. However, obesity indices showed a lower predictive performance for poor glycemic control based on FBS. Body mass index (BMI) had a poor predictive performance for poor glycemic control (AUC = 0.26; 95% CI: 0.13–0.40).Conclusions: Poor glycemic control is a public health concern and obesity indicators, typically WC, WHR, and WHtR, have a better predictive performance for poor glycemic control than BMI.

Background: Stimulating care during childhood is the foundation for optimal health, learning, productivity, and social well-being throughout the life course. In addition, malnutrition is a major public health concern affecting up to half of children under-five years in Ethiopia. However, evidence on the causal contribution of malnutrition to delay in child development is poorly understood in Ethiopia. Objective: To identify the relationship between different forms of malnutrition and delay in child development among children in Southwest Ethiopia. Methods: A community-based survey was conducted among 507 randomly selected mother–child pairs in the Guraghe Zone, Southwest Ethiopia. A pretested tool and validated anthropometric measurements were used. Anthropometric indices (WFH, WFA, and HFA) were calculated in Anthros software. The data were summarized in mean, median, standard deviation, tables and charts. Bivariable and multivariable binary logistic regression (stepwise backward regression) models were fitted with nutritional status (wasting, stunting and underweight) and other potential factors associated with delay in child developmental. Adjusted odds ratios with 95% confidence intervals and p-values were reported. Results: A total of 507 mother–child (12– 59 months) pairs were included in the survey (97% response rate). The mean ASQ-3 score was 150 (± 23.4), with a minimum and maximum score of 45 and 270, respectively. A total of 149 (29.4%; 95% CI: 25.4– 33.4) children had developmental delays, where 17.2%, 16.8%, 13.4%, 10.8%, and 10.1% had delays in gross motor, communication, problem-solving, personal-social, and fine motor skills, respectively. Children of working mothers (AOR=2.9; 1.8, 4.8), preterm births (AOR=3.2; 1.4, 7.0), early initiation of complementary feeding (AOR=2.5; 1.37, 4.6), stunting (AOR=3.0; 1.9, 4.7), underweight (AOR= 2.3; 1.1, 4.7) and low dietary diversity score (AOR=3.1; 1.3, 7.5), were predictors of developmental delay. Conclusion: Child development delay is a public health concern and it is strongly associated with stunting, underweight, undiversified dietary consumption, and suboptimal infant and young child feeding practices.

Introduction: Exclusive breastfeeding (EBF) means providing only breast milk for infants for up to six months without the addition of solid or liquid matter. Even though EBF had great benefits for infants and mothers, the rate of EBF is so limited below the global target. In Ethiopia, the overall EBF practice is 59%. This low EBF practice had a great unexplained variation among employed and unemployed mothers. Therefore, this study aimed to compare EBF practice and associated factors among employed and unemployed mothers of infants aged 6–12 months in Wolkite town, Southern Ethiopia, 2020. Methods: A community-based comparative cross-sectional study was conducted in March 2020. A total sample of 485 (241 employed and 244 unemployed) study subjects was involved in the study. A simple random sampling technique was used to recruit study subjects. A pre-tested structured interviewer-administered questionnaire was used. Multivariable logistic regression was used to identify associated factors of EBF practice for the whole study participants and then for employed and unemployed mothers independently. Results: The pooled prevalence of exclusive breastfeeding practice was 63.9% [95% CI (59.8–68.2%)]. Exclusive breastfeeding practice was 54.8% [95% CI (48.5–61.4%)] and 73% [95% CI (66.8–78.7%)] among employed and unemployed mothers respectively. Three or more years of a birth interval [AOR = 4.03; 95% CI (1.80–8.99)], three or more ANC visits [AOR = 5.39; 95% CI (1.49–19.45)], and having PNC service [AOR = 4.56; 95% CI (2.0–9.4)] significantly associated to exclusive breastfeeding practice among employed mothers. No history of breastfeeding counseling during ANC visits [AOR = 0.15; 95% CI (0.06–0.41)], had history of breast disease [AOR = 0.28; 95% CI (0.08–0.99)], three or more ANC visits [AOR = 5.11; 95% CI (1.66–15.8)], and having social support [AOR = 3.05; 95% CI (1.23–7.6)] significantly associated to EBF practice among unemployed mothers. Conclusion: Employment among mothers was found to discourage EBF practice. The predictors of exclusive breastfeeding practice are different for employed and unemployed. Therefore Policymakers and program planners are called to come together and create a conducive environment for lactating employees, and appropriate intervention at respective predictor variables is needed to enhance EBF practice.