This study aimed to estimate dietary sodium and potassium consumption among Jamaicans and evaluate associations with sociodemographic and clinical characteristics. A cross-sectional study was conducted using data from the Jamaica Health and Lifestyle Survey 2016–2017. Participants were noninstitutionalized Jamaicans aged ≥15 years. Trained staff collected sociodemographic and health data via interviewer-administered questionnaires and spot urine samples. The Pan American Health Organization formula was used to estimate 24-hour urine sodium and potassium excretion. High sodium level was defined as ≥2000 mg/day, and low potassium levels as <3510 mg/day (World Health Organization criteria). Associations between these outcomes and sociodemographic and clinical characteristics were explored using multivariable ANOVA models using log-transformed 24-hour urine sodium and potassium as outcome variables. Analyses included 1009 participants (368 males, 641 females; mean age 48.5 years). The mean sodium excretion was 3582 mg/day (males 3943 mg/day, females 3245 mg/day, P < .001). The mean potassium excretion was 2052 mg/day (males, 2210 mg/day; females, 1904 mg/day; P = .001). The prevalence of high sodium consumption was 66.6% (males 72.8%, females 60.7%, P < .001) and that of low potassium intake was 88.8% (85.1% males, 92.3% females, P < .001). Sodium consumption was inversely associated with older age, higher education, and low glomerular filtration rate but was directly associated with being male, current smoking, and obesity. Overall, males had higher sodium consumption than women, with the effect being larger among hypertensive men. Women with hypertension had lower sodium consumption than nonhypertensive women; however, hypertensive men had higher sodium consumption than nonhypertensive men. Potassium consumption was higher among men, persons with obesity, and those with high total cholesterol but was lower among men with “more than high school” education compared to men with “less than high school” education. We conclude that most Jamaican adults have diets high in sodium and low in potassium. In this study, sodium consumption was directly associated with male sex, obesity, and current smoking but was inversely associated with older age and higher education. High potassium consumption was associated with obesity and high cholesterol levels. These associations should be further explored in longitudinal studies and population-based strategies should be developed to address these cardiovascular risk factors.

Objectives. To describe the characteristics and outcomes of COVID-19 cases in Jamaica and to explore the risk factors associated with severe COVID-19 from 9 March to 31 December 2020. Methods. A cross-sectional analysis of national surveillance data was conducted using confirmed COVID-19 cases in Jamaica. Definitions of a confirmed case, disease severity, and death were based on World Health Organization guidelines. Chi-square and Fisher exact tests were used to determine association with outcomes. Logistic regression models were used to determine predictors of severe COVID-19. Results. This analysis included 12 169 cases of COVID-19 (median age, 36 years; 6 744 females [ 55.4%]) of which 512 cases (4.2%) presented with severe disease, and of those, 318 patients (62.1%) died (median age at death, 71.5 years). Severe disease was associated with being male (OR 1.4; 95% CI, 1.2-1.7) and 40 years or older (OR, 6.5; 95% CI, 5.1-8.2). COVID-19 death was also associated with being male (OR, 1.4; 95% CI, 1.1-1.7), age 40 years or older (OR, 17.9; 95% CI, 11.6-27.7), and in the Western versus South East Health Region (OR 1.7; 95% CI, 1.2-2.3). Conclusions. The findings of this cross-sectional analysis indicate that confirmed cases of COVID-19 in Jamaica were more likely to be female and younger individuals, whereas COVID-19 deaths occurred more frequently in males and older individuals. There is increased risk of poor COVID-19 outcomes beginning at age 40, with males disproportionately affected. COVID-19 death also varied by geographic region. This evidence could be useful to other countries with similar settings and to policymakers charged with managing outbreaks and health.

Background/Objectives: To estimate (a) survival after SARS-CoV-2 infection by COVID-19 vaccination status, and (b) COVID-19 vaccine effectiveness in a middle-income country. Methods: In this retrospective cohort study, secondary analysis of data from the national surveillance and vaccination databases was conducted. The primary outcome was COVID-19 death classified based on the WHO criteria. Data were analysed by vaccination status, age, sex, geographic region, and wave period. Kaplan–Meier curves were plotted; log-rank followed by multiple comparison tests were used to compare survival probabilities. Cox proportional-hazards models with time-varying covariates estimated hazard ratios (HR). Vaccine effectiveness was computed as (1-HR) × 100. Results: A total of 55,299 COVID-19 cases were captured by the national surveillance system between 1 April and 31 December 2021. Of these, 45,774 (1581 vaccinated, 44,193 unvaccinated) were included in the analysis. After a follow-up of 327 days, there were 22 deaths (case fatality rate (CFR) 1.5%) among 1581 COVID-19 vaccinated cases and 1821 deaths (CFR 4.1%) among 44,193 unvaccinated cases. There was one COVID-19 death per 10,000 person days in vaccinated cases compared with 2.7 COVID-19 deaths per 10,000 person days in unvaccinated cases. After adjustment for age, sex, and geographic region, the effectiveness against COVID-19 death across all vaccine types (ChAdOx1 nCoV-19, BNT162b2, Ad26.COV2.S, or BBIBP-CorV) was 68% (95% CI: 51–79). Effectiveness was 75% (95% CI: 59–84) for ChAdOx1 nCoV-19. Vaccine effectiveness across all vaccine types was higher in younger cases, (82% (95% CI: 52–93), 18–64 years vs. 63% (95% CI: 41–77), ≥65 years), females (84% (95% CI: 63–93), females vs. 53% (95% CI: 24–71), males) and those vaccinated in the past 3 months (71% (95% CI: 47–85), past 0–3 months vs. 56% (95% CI: 23–75), 3–6 months). Conclusions: COVID-19 vaccines were effective in preventing COVID-19 death in a population with low vaccination coverage. Limitations of the analysis include the use of surveillance data (under-reporting of cases, missing data), exclusion of partially vaccinated cases, and insufficient data on important confounders (circulating variants and comorbidities).

Jamaica has one of the highest teenage pregnancy rate and therefore identifying the context of adolescent sexual and reproductive health is important, especially since there is paucity of research on preadolescents in the Jamaican context. The study was a nationally representative cross-sectional, interviewer administered, school-based survey of 10 -15 year olds. Summary statistics of the demographics and bivariate analyses were performed to assess the association of sexual initiation and given risk and resiliency factors. 1,422(47.4%) males, 1,581 (52.6%) females, mean age (SD) 12.5 (1.6) years were surveyed. Mean age of first sex was 11.0 (±2.5) years. Factors significantly with sexual initiation were, female sex (OR 0.17; 95% CI 0.12-0.23), caring relationships inside the home (OR 0.85; 95%CI 0.83-0.97) rare church attendance (OR1.36; 95%CI1.0-1.8), age (OR 1.75; 95%CI1.6-1.9) and community disorganization (OR 1.02 95% CI 1.01-1.07). Sexual initiation of early adolescents is positively influenced by environmental factors such as family connectedness and religious involvement. The negative correlates are societal risk factors such as community disorganization. Empowerment through learned sexual negotiation skills, should be incorporated into the education programme of pre-adolescents to facilitate adolescents embracing their intrinsic power to delay sexual debut and if sexually active to insist on condom use.

Globally, the COVID-19 pandemic caused significant healthcare, economic and social impacts. This study described characteristics of COVID-19 mortality and determined risk of COVID-19 death by wave period in Jamaica. A cross-sectional analysis was conducted using data on confirmed COVID-19 cases reported to the National Surveillance Unit from 5 August 2020 to 4 October 2022. Multivariate logistic regression was used to determine odds of death by wave period, adjusting for age, sex and health region. 148,262 cases and 3654 COVID-19 deaths were included in the analysis. Increased odds of COVID-19 death were associated with male sex, age, and health region. Odds of death increased among males (OR:1.4, 95%CI: 1.3–1.5), residents in the Western health region (OR:1.4, 95%CI: 1.3–1.5) and persons ≥ 40 years (OR:18.2, 95%CI: 15.8–20.9). In comparison to Wave 4, odds of death were OR:3.4 (95%CI: 3.0–3.8) for Wave 3 and OR:2.6 (95%CI: 2.2–3.0) for Wave 1. Higher risk of death among males and older persons were observed across wave periods. Odds of death was greatest during Wave 3. This reinforces the need for responsive and adaptive health systems, as well as social and clinical interventions among high-risk groups.