Objective The objective of this study is to determine the prevalence of abdominal obesity, its predictors and its association with cardiovascular risk among adults in Burkina Faso. Design We performed a secondary analysis of data from a national cross-sectional study, using WHO STEPwise approach. Setting The study was conducted in Burkina Faso, in all the 13 regions of the country. Participants Our study involved 4308 adults of both sexes, aged between 25 and 64 years. Primary and secondary outcomes Our primary outcome was abdominal obesity, which was defined using a cut-off point of waist circumference (WC) of ≥94 cm for men and ≥80 cm for women. The secondary outcome was very high WC (≥102 cm for men and ≥88 cm for women) (for whom weight management is required). Results The mean age of participants was 38.5±11.1 years. The age-standardised prevalence of abdominal obesity was 22.5% (95% CI 21.3% to 23.7%). This prevalence was 35.9% (95% CI 33.9% to 37.9%) among women and 5.2% (95% CI 4.3% to 6.2%) among men. In urban areas, the age-standardised prevalence of abdominal obesity was 42.8% (95% CI 39.9% to 45.7%) and 17.0% (95% CI 15.7% to 18.2%) in rural areas. The age-standardised prevalence of very high WC was 10.2% (95% CI 9.3% to 11.1%). The main predictors of abdominal obesity were being female, increased age, married status, high level of education and living in urban areas. Abdominal obesity was also significantly associated with high blood pressure (adjusted prevalence ratio (aPR): 1.30; 95% CI 1.14 to 1.47) and hypercholesterolaemia (aPR: 1.52; 95% CI 1.18 to 1.94). According to the combination matrix between body mass index and WC, 14.6% of the adult population in Burkina Faso had an increased cardiometabolic risk. Conclusion Our study showed a high prevalence of abdominal obesity and a high proportion of adults who require weight management strategies to prevent cardiometabolic complications. Strategies to reduce the burden of abdominal obesity and very high WC should be considered by Burkina Faso’s policy-makers.

Summary: Background: Health care administrative databases are increasingly used for health studies and public health surveillance. Cases of individuals with obesity are selected using case‐identification methods. However, the validity of these methods is fragmentary and particularly challenging for obesity case identification.Objective: The objectives of this systematic review are to (1) determine the case‐identification methods used to identify individuals with obesity in health care administrative databases and (2) to summarize the validity of these case‐identification methods when compared with a reference standard.Methods: A systematic literature search was conducted in six bibliographic databases for the period January 1980 to June 2019 for all studies evaluating obesity case‐identification methods compared with a reference standard.Results: Seventeen articles met the inclusion criteria. International Classification of Diseases (ICD) codes were the only case‐identification method utilized in selected articles. The performance of obesity‐identification methods varied widely across studies, with positive predictive value ranging from 19% to 100% while sensitivity ranged from 3% to 92%. The sensitivity of these methods was usually low while the specificity was higher.Conclusion: When obesity is reported in health care administrative databases, it is usually correctly reported; however, obesity tends to be highly underreported in databases. Therefore, case‐identification methods to monitor the prevalence and incidence of obesity within health care administrative databases are not reliable. In contrast, the use of these methods remains relevant for the selection of individuals with obesity for cohort studies, particularly when identifying cohorts of individuals with severe obesity or cohorts where obesity is associated with comorbidities.

Background: In 2010, the government of Sierra Leone implemented the Free Health Care Initiative (FHCI) in the country with the objective of reducing the high maternal, infant, and child mortality rates and improving general health indicators. The objective of this study was to assess the trends in the prevalence of health care-seeking and to identify the determinants of healthcare service utilization by caregivers of children younger than five years. Methods: The analysis of health-care-seeking behavior was done using data from four population-based surveys in Sierra Leone before (2008) and after (2013, 2016, 2019) the FHCI was implemented. Care-seeking behavior was assessed with regard to caregivers seeking care for children under-five in the two weeks prior to each survey. We compared the percentages of healthcare-seeking behavior change and identify factors associated with healthcare-seeking using a modified Poisson regression model with generalized estimating equations. Results: In 2008, a total of 1208 children with fever were recorded, compared with 2823 children in 2013, 1633 in 2016, and 1464 in 2019. Care-seeking for children with fever was lowest in 2008 (51%; 95% CI (46.4−55.5)) than in 2013 (71.5%; 95% CI (68.4−74.5)), 2016 (70.3%; 95% CI (66.6−73.8)), and 2019 (74.6%; 95% CI (71.6−77.3)) (p < 0.001). Care-seeking in 2013, 2016 and 2019 was at least 1.4 time higher than in 2008 (p < 0.001) after adjusting for mother’s age, wealth, religion, education level, household head and the child’s age. Care-seeking was lowest for children older than 12 months, mothers older than 35 years, children living in the poorest households, and in the northern region. A trend was observed for the sex of the household head. The level of care-seeking was lowest when the household head was a man. Conclusions: The increase in healthcare-seeking for children under-five with fever followed the introduction of the FHCI in Sierra Leone. Care-seeking for fever varied by the child’s age, caregiver’s age, household wealth, the sex of the household head and region. Maintaining the FHCI with adequate strategies to address other barriers beyond financial ones is essential to reduce disparities between age groups, regions and, households.

Background: In 2016, a free healthcare policy (FHP) was implemented in Burkina Faso for children under the age of five. In our study, we aimed to determine the prevalence of care-seeking for a fever in children under the age of five before and after the implementation of the FHP and to analyze the determinants of not seeking care under the FHP. Methods: The data of three nationally representative surveys were used to evaluate the trends of the prevalence of care-seeking. We performed a modified Poisson regression using a generalized estimating equation to determine the factors associated with not seeking care. Results: The prevalence for care seeking increased from 57.5% (95% CI, 54.2– 60.8) in 2014 to 72.3% (95% CI, 68.1– 76.2) in 2017. Children from the poor quintile were less likely to seek care when compared to children from the poorest quintile (prevalence ratio (PR) = 0.7 (95% CI, 0.5– 0.9)). Caregivers who did not have messages regarding malaria in the past six months were more likely not to seek care (PR = 0.8 (95% CI, 0.7– 0.9)). Caregivers of children aged 36– 59 months were more likely not to seek care compared to those aged < 12 months (PR = 1.6 (95% CI, 1.2– 2.1)). Children from the Boucle du Mouhoun region (PR = 1.9 (95% CI, 1.2– 3.2)) and the Centre-Est region (PR = 1.9 (95% CI, 1.2– 3.0)) were more likely not to seek care compared to children from the Sud Ouest region. Conclusion: Our study showed an increase in the prevalence of care-seeking after the implementation of the FHP. Even if this is encouraging, these findings highlight the critical importance of non-financial barriers to care-seeking. Maintaining FHP and tackling the barriers should be considered by policy makers to increase care-seeking.

Background: The decline of cognitive function is an important issue related to aging. Over the last few years, numerous mobile apps have been developed to challenge the brain with cognitive exercises; however, little is currently known about how age influences capacity for performance improvement when playing cognitive mobile games. Objective: The objective of this study was to analyze the score data of cognitive mobile games over a period of 100 gaming sessions to determine age-related learning ability for new cognitive tasks by measuring the level of score improvement achieved by participants of different ages. Methods: Scores from 9000 individuals of different ages for 7 cognitive mobile games over 100 gaming sessions were analyzed. Scores from the first session were compared between age groups using one-way analysis of variance. Mixed models were subsequently used to investigate the progression of scores over 100 sessions. Results: Statistically significant differences were found between age groups for the initial scores of 6 of the 7 games (linear trend, P<.001). Cognitive mobile game scores increased for all participants (P<.001) suggesting that all participants were able to improve their performance. The rate of improvement was, however, strongly influenced by the age of the participant with slower progression for older participants (P<.001). Conclusions: This study provides evidence to support two interesting insights—cognitive mobile game scores appear to be sensitive to the changes in cognitive ability that occur with advancing age; therefore, these games could be a convenient way to monitor cognitive function over long-term follow-up, and users who train with the cognitive mobile games improve regardless of age.

Background: Since the scale-up of antiretroviral therapy (ART) services in Burkina-Faso, achieving an AIDS-free generation depends on optimal ART adherence. However, no data exists on the population group differences on the level of ART adherence in Burkina-Faso. This study analyzes ART adherence among pregnant-and breastfeeding-women, non-pregnant women, and men in Burkina-Faso. Methods: From December 2019 to March 2020, a cross-sectional study among adult HIV-infected patients in Burkina-Faso, belonging either to the active file or the Prevention of Mother-To-Child Transmission programs was conducted. An analysis was performed and adherence was measured based on the number of times, patients did not meet the number of doses prescribed and did not take the ART treatment in the month prior to the survey. Logistic-regression models were used to identify factors associated with poor ART adherence and the adjusted odds ratios (aORs) with their 95% confidence intervals (95% CI) were reported. Results: The prevalence of good adherence was higher in the group of pregnant-and breastfeeding-women (86.6%, n = 112) compared to the other groups (73.1%, n=1017 in non-pregnant women and 72.0%, n = 318 in men). No association was found between ART adherence and the socio-demographic, clinical, and therapeutic characteristics of pregnant-and breastfeeding-women and men groups. However, non-pregnant women with a high level of education (aOR = 1.70; 95% CI: 1.16– 2.49), having ever belonged to a support group (aOR= 1.47; 95% CI: 1.07– 2.04), not having income-generating occupations (aOR= 1.53; 95% CI: 1.11– 2.12), and in advanced clinical stage (aOR= 1.42; 95% CI: 1.06– 1.91) were more susceptible to have poor adherence compared to their pairs. Conclusion: Findings showed a large difference in ART adherence among pregnant-and breastfeeding-women, non-pregnant women and men and highlight the need for differentiated healthcare delivery according to population while specifically considering addressing the interest in early initiation of treatment and the benefit of support groups meeting.