Pathophysiologically, type 2 diabetes can result from insulin resistance or insulin insufficiency alone. It is unclear whether relative insulin shortage or pronounced insulin resistance is linked to poor cardiometabolic problems like obesity. Therefore, the objective of this study was to evaluate the relationship between insulin resistance (IR), hypertension, and dyslipidaemia, in men with type 2 diabetes mellitus. One hundred and twenty‐one (121) type 2 diabetic men participated in this cross‐sectional study, which was conducted between September 2018 and September 2019. Sociodemographic information was collected using a self‐designed questionnaire. Anthropometric data were also taken and blood samples collected for estimation of insulin, glucose, and lipid concentrations. HOMA‐IR was calculated from the fasting insulin and glucose values, and a HOMA − IR ≥ 2 was considered to indicate insulin resistance. Of the 121 participants, 39.7% were classified as insulin‐resistant. Levels of total cholesterol (4.82 ± 1.2 mmol/L; p = 0.007 vs. 4.25 ± 1.1 mmol/L), LDL cholesterol (3.17 ± 0.9 mmol/L; p = 0.001 vs. 2.52 ± 0.8 mmol/L), and TC/HDL‐C ratio (3.93 ± 0.9; p = 0.042 vs. 3.58 ± 0.9) and the prevalence of abnormal LDL‐C (14.6%; p = 0.015 vs. 2.7%) and elevated BP (83.3%; p = 0.048 vs. 67.1%) were higher in the insulin‐resistant group. LDL cholesterol (AUC = 0.670; p = 0.001) better classified subjects as being insulin‐resistant compared to other lipid markers. The odds of insulin resistance in dyslipidaemia were not statistically significant after adjusting for obesity. The link between insulin resistance and dyslipidaemia and hypertension in male diabetics may thus be mediated by obesity.

The use of forensic science continues to grow across the world. In Ghana, major advancements took off in 2011, including the introduction of modern DNA profiling and the establishment of an automated fingerprint identification system. These developments have led to some positive impacts on the delivery of justice, including the exoneration of a wrongly incarcerated individual. However, a review of the policy-related aspects of forensic science shows gaps in legislation, governance, service provision, quality assurance and accreditation, education and research. An important recommendation to improve forensic science in Ghana is the creation of a "national policy strategy", a blueprint informed by relevant stakeholders, best practice from other countries and the status of the field. Resolutions to the policy issues identified in this review will ensure a more robust application of forensic science in delivering safe justice and enhancing public security.

Background: The neutrophil to lymphocyte ratio (NLR) and the monocyte to lymphocyte ratio (MLR) are two systemic inflammatory indices with promising prognostic and predictive abilities for HDP. The study aimed to determine the abilities of the NLR and MLR in predicting HDP among pregnant women in Ghana. Methods: This was a case-control study that was carried out between September 2015 and May 2016 at the Bolgatanga regional hospital. The study involved 50 pregnant women of whom 60% (30/50) had normotensive pregnancies (controls) and 40% (20/50) were confirmed to have HDP (cases). The cases were compared with the controls in terms of their socio-demographic characteristics, full blood count parameters, NLR and MLR. Probability value 0.05). The sensitivities of NLR and MLR were 95.0% and 70.0%, while their specificities were 56.7% and 73.3%, respectively. The positive likelihood ratio (+LR) of MLR was higher than that of NLR (2.6 vs. 2.2). Conclusion: Both the NLR and MLR have moderate predictive ability for hypertensive diseases of pregnancy (HDP). However, the MLR will be a better predictor for HDP than the NLR. We recommend the addition of NLR and MLR when reporting full blood count results for pregnant women.

The study aimed to determine the relationship between digit ratios among a mother–child population in Ghana. This was a cross-sectional study from December 2020 to April 2021 involving 272 mothers, their daughters (n = 132) and their sons (n = 140). The right (2D:4DR) and the left (2D:4DL) digit ratios were measured using computer-assisted analysis. The data were analysed in SPSS (v23) and GraphPad Prism (v8) at an alpha value of 0.05. The mean ± SD age of the mothers was 23.9 ± 3.67 years while the median (IQR) age of daughters was 116(54–240) days and sons, 134(54–240) days. The mean ± SD 2D:4DR were 0.94 ± 0.04, 0.91 ± 0.04 and 0.90 ± 0.04 respectively for mothers, daughters and sons. The mean ± SD 2D:4DL was 0.93 ± 0.04, for mothers, 0.92 ± 0.05 for daughters and 0.92 ± 0.05 for sons. The daughters and sons showed leftward asymmetry while the mothers showed rightward asymmetry in digit ratios. The 2D:4DR of sons was significantly lower than daughters (P = 0.031). There were negative correlations between the 2D:4DL and age of daughters (r = −0.182, P = 0.043) and sons (r = −0.221, P = 0.012). The 2D:4DR of mothers was positively correlated with that of daughters (r = 0.332, P = 0.000) and that of sons (r = 0.233, P = 0.008). There are significant relationships between digit ratios in a mother–child population.

Background: Severe Plasmodium falciparum malarial anemia is still the principal cause of death in children in underdeveloped countries. An imbalance between proinflammatory and anti‐inflammatory cytokines is associated with malaria progression. This study evaluated circulating levels of selected inflammatory cytokines among malaria‐infected children in Ghana.Methods: This case‐control study was conducted at Tamale Teaching Hospital, Ghana. One hundred and twenty children with malaria and 60 controls, aged 12−144 months were selected from April to July, 2023 for the study. Malaria was diagnosed through microscopy, full blood count was measured using hematology analyzer, and cytokines were measured using enzyme‐linked immunosorbent assay.Results: Malaria‐infected children had higher tumor necrosis factor alpha (TNF‐α) (p < .001), interferon‐gamma (IFN‐ɣ) (p < .001), interleukin (IL)‐1β (p < .001), IL‐6 (p < .001), granulocyte macrophage‐colony stimulating factor (GM‐CSF) (p < .001), and IL‐10 (p < .001) levels than controls. Participants with high parasitemia had raised TNF‐α (p < .001), IFN‐ɣ (p < .001), IL‐1β (p < .001), IL‐6 (p < .001), GM‐CSF (p < .001), and IL‐10 (p < .001), but reduced IL‐3 (p < .001) and TGF‐β (p < .001) than those with low parasitemia. Severe malarial anemic children had elevated TNF‐α (p < .001), IFN‐ɣ (p < .001), IL‐1β (p < .001), IL‐6 (p < .001), GM‐CSF (p < .001), and IL‐10 (p < .001), but lower IL‐3 (p < .001) and TGF‐β (p < .001) than those with uncomplicated malaria.Conclusion: Parasite density was the principal predictor of the cytokine levels, as parasitemia positively associated with IL‐10, GM‐CSF, IL‐6, IL‐1β, IFN‐ɣ, and TNF‐α, but negatively associated with IL‐3 and TGF‐β. Malaria is associated with enhanced secretion of pro‐ and anti‐inflammatory cytokines in Ghanaian children. Inflammatory cytokines may be involved in the development of severe malarial anemia in children. However, IL‐3 and TGF‐β may offer protection against severe malarial anemia.

There are sex differences in age-related bone modifications after puberty. Androgens stimulate radial bone expansion in males, while estrogen stimulates endosteal apposition but limits periosteal expansion in females. The potential effect of age on observed sex biases in height and sex estimation models is most significantly relevant for forensic or bioarchaeological research that relies, at least in part, on hand and foot bone measurements of living or skeletal remains for purposes of identification or demographic reconstruction. This study sought to determine whether age affects sex biases in models for height and sex estimation which are based on hand and foot dimensions. The study was cross-sectional between January and June 2021 at the University for Development Studies. The study included 379 participants (male = 161 and female = 218) between 20 and 29 years. The hand length (HL), hand width (HW), foot length (FL) and foot width (FW) were measured twice from the left side using computer-assisted analysis. Univariable and multivariable discriminant and linear regression models were formulated for sex and height estimation respectively. Females were better classified than males with sex biases (male-female) ranging from −1.3% to −22.6% for all models. Models for height estimation were more precise in males (bias: 0.0–0.3 cm) than in females (bias: 0.3–1.4 cm). However, age did not have an impact on the observed sex biases. Height and sex estimation from foot and height dimensions may not need adjustment for age. This may, however, be limited to a given population and age group.