Home Finger-Prick Test Shows promise for Early Cardiometabolic Risk Detection in young Adults
A new study indicates that a simple at-home finger-prick test, when coupled wiht robust support systems, can effectively identify hidden cardiometabolic risks in young adults – a demographic frequently enough characterized by behaviors that negatively impact long-term health.
Early detection of poor cardiometabolic health is crucial, as it strongly predicts cardiovascular disease, the leading cause of death globally. Researchers at Deakin University in Australia recently published findings in PLOS ONE detailing the feasibility of self-administered dried blood spot (DBS) collection for cardiometabolic profiling in individuals aged 18-30.
The study, conducted between April and November 2022, recruited 506 Australian residents to assess their cardiometabolic health and dietary choices. Participants received a DBS collection kit and were instructed to provide a sample after a period of fasting. These samples were then analyzed for key indicators including total cholesterol (TC), triglycerides, insulin, glycated hemoglobin (HbA1c), high-sensitivity C-reactive protein (hsCRP), and various lipoprotein levels (HDL-C, LDL-C, VLDL-C).
DBS collection offers a convenient and cost-effective alternative to conventional blood draws, reducing the need for extensive personnel, specialized shipping, and long-term storage. This accessibility is notably valuable for reaching wider populations and improving preventative healthcare. Though, the success of this method hinges on ensuring sample quality and participant engagement.
The results showed that 69% of returned samples were adequate for estimating at least one cardiometabolic measure, while 46% yielded sufficient data to analyze all eight markers. A important challenge emerged: 72% of participants reported difficulties with the collection process. These hurdles included insufficient blood volume, issues with the lancets, and even external factors like cold weather or feelings of anxiety.
Notably, the research team’s proactive and personalized support played a critical role in the study’s success. Researchers contacted 62% of participants, following up an average of two times each – with some receiving up to 12 contacts. This intensive support system directly addressed participant concerns and improved sample return rates.
Individuals who successfully provided adequate samples for all eight measures had a mean age of 23.8 years and a body mass index (BMI) of 26.5 kg/m. The majority were Australian-born (83%), highly educated (56%), and resided in areas with low socioeconomic disadvantage (66%). Thay also generally reported good health and met recommended guidelines for sleep and physical activity.
Though, the study revealed a statistically significant response bias. Participants who did not return their collection cards were more likely to have lower educational attainment and be current smokers. This highlights the importance of considering demographic factors when implementing such screening programs.
Analysis of the collected samples revealed that approximately 74% of participants were at risk for at least one cardiometabolic marker. Gender differences were also observed, with males exhibiting a higher risk for HbA1c, insulin, and lipid markers, while females showed a greater risk for hsCRP. the mean TC was 187.6 mg/dL, HbA1c was 4.94%, HDL-C was 39.7 mg/dL, and LDL-C was 128 mg/dL. The median hsCRP was 0.6 mg/L, insulin was 7.93 μIU/mL, and VLDL-C was 18 mg/dL.
The study’s findings underscore the feasibility of self-administered DBS collection for cardiometabolic profiling, but emphasize the critical need for clear instructions and intensive, personalized support. Researchers recommend pilot testing collection procedures and ensuring kits contain surplus lancets to address the moast commonly reported difficulties.
Notably the authors caution against generalizing these findings to the broader population, as the study’s sample consisted of a disproportionately high number of participants with higher socioeconomic status. Despite this limitation, the study’s key takeaway remains clear: timely and personalized support, coupled with clear instructions, is essential for obtaining high-quality samples and effectively identifying cardiometabolic risks in young adults. Future research should focus on adapting these strategies for diverse populations to maximize the impact of preventative screening efforts.
