Food insecurity and associated health and social determinants among older adults in Ghana: Analysis of the WHO's study on global AGEing and adult health (SAGE), 2014-2015.

This study was conducted to assess the prevalence and factors associated with Food Insecurity (FI) and further quantify its association with unmet need for health services and health-related outcomes among older adults aged 50 years and above in Ghana. The Ghana Study on Global AGEing and Adult Health was used. Body Mass Index (BMI), depressive episodes, functional difficulties (FD), low Quality of Life (QoL), memory decline, and Unmet Needs of Health Services (UNHS) are the the study outcomes. Ordinary Least Square, and Poisson regression analysis modified with Mahalanobis distance matching within propensity score caliper weights were employed. Stata 16.1 was used to perform analysis and a p-value < 0.05 was deemed significant. The prevalence of FI among older adults aged 50 years or older in Ghana was approximately 28 %(95 %CI = 24.5-31.7) and was strongly associated with lower educational attainment and social support. The prevalence ratio of depression, FD, low QoL and UNHS among older adults who experienced FI were; 3.43(95 %CI = 2.25-5.21), 1.18(95 %CI = 1.12-1.23), 2.01(95 %CI = 1.54-2.62), and 1.46(95 %CI = 1.01-2.11). Memory significantly decreased by 85 percentage points% among food insecure older adults [aß(95 %CI) = -0.85(-1.62--0.07)]. Older adults with relatively higher educational attainment and social support are less likely to suffer FI and associated limited health and poor social well-being. In the national quest to achieve SDG 2, these health and social determinants of FI among older adults should be considered in the implementation of the national ageing policy to improve the health and well-being of older adults in Ghana.

Psychological Distress Amongst Medical Laboratory Professionals Involved in COVID-19-Related Duties: A Nationally Stratified Cross-Sectional Survey, Ghana.

To assess the prevalence and factors associated with psychological distress (PD) and Medical Laboratory Professionals (MLPs) involvement in COVID-19-related duties. This study adopted an online cross-sectional, nationally stratified survey among 473 MLPs using Google Form with a designated link; Depression, anxiety, and stress scale-21 (DASS-21) was used to measure depression, anxiety, and stress (secondary outcome). We employed generalized Negative Binomial (NBR) and Poisson regression analytical approach to our study outcomes. All analyses were performed using Stata 16, and P-value≤.05 deemed significant. The overall DASS-21 score ranged from asymptomatic psychological distress to severe symptomatic PD. The prevalence of depression, anxiety, and stress were 9.1 [95%CI=6.8-12.0], 17.8 [95%CI=14.6-21.5], and 7.5 [95%CI=5.4-10.1], respectively. The result evinced a high and significant association; the univariate NBR predicted a significant increase of PD score by 12% and 18% among participants who were involved in one and two or more COVID-19-related duties, respectively, (ß[95%CI] = .12 [.05-.18] and .18 [.10-.26], respectively). A binary outcome predicted approximately 2-folds of overall psychological distress among participants involved in two or more COVID-19-related duties compared with non-involvement (adjusted Prevalence Ratio [95%CI]= 2.34 [1.12-4.85]). For depression, anxiety, and stress symptoms, both univariate and multivariate data analyses evinced a higher disadvantage among MLP involved in COVID-19-related duties. We observed a high tendency of experiencing significant psychological distress amongst MLP involved in COVID-19-related duties. Experience of psychological distress increased with deeper involvement in COVID-19-related activities. Psychological support should be extended to MLPs to limit the effect of these negative emotions on their cognitive and social behavior as well as job performance.

Developing a Modified Low-Density Lipoprotein (M-LDL-C) Friedewald's Equation as a Substitute for Direct LDL-C Measure in a Ghanaian Population: A Comparative Study.

Despite the availability of several homogenous LDL-C assays, calculated Friedewald's LDL-C equation remains the widely used formula in clinical practice. Several novel formulas developed in different populations have been reported to outperform the Friedewald formula. This study validated the existing LDL-C formulas and derived a modified LDL-C formula specific to a Ghanaian population. In this comparative study, we recruited 1518 participants, derived a new modified Friedewald's LDL-C (M-LDL-C) equation, evaluated LDL-C by Friedewald's formula (F-LDL-C), Martin's formula (N-LDL-C), Anandaraja's formula (A-LDL-C), and compared them to direct measurement of LDL-C (D-LDL-C). The mean D-LDL-C (2.47±0.71 mmol/L) was significantly lower compared to F-LDL-C (2.76±1.05 mmol/L), N-LDL-C (2.74±1.04 mmol/L), A-LDL-C (2.99±1.02 mmol/L), and M-LDL-C (2.97±1.08 mmol/L) p < 0.001. There was a significantly positive correlation between D-LDL-C and A-LDL-C (r=0.658, p<0.0001), N-LDL-C (r=0.693, p<0.0001), and M-LDL-C (r=0.693, p<0.0001). M-LDL-c yielded a better diagnostic performance [(area under the curve (AUC)=0.81; sensitivity (SE) (60%) and specificity (SP) (88%)] followed by N-LDL-C [(AUC=0.81; SE (63%) and SP (85%)], F-LDL-C [(AUC=0.80; SE (63%) and SP (84%)], and A-LDL-C (AUC=0.77; SE (68%) and SP (78%)] using D-LDL-C as gold standard. Bland-Altman plots showed a definite agreement between means and differences of D-LDL-C and the calculated formulas with 95% of values lying within ±0.50 SD limits. The modified LDL-C (M-LDL-C) formula derived by this study yielded a better diagnostic accuracy compared to A-LDL-C and F-LDL-C equations and thus could serve as a substitute for D-LDL-C and F-LDL-C equations in the Ghanaian population.