Life's Essential 8 and Life's Simple 7 in Relation to Coronary Atherosclerosis: Results From the Population-Based SCAPIS Project.

OBJECTIVE: To examine the associations between the American Heart Association scores ("Life's Essential 8" [LE8] and "Life's Simple 7" [LS7]) and 2 subclinical coronary atherosclerosis indicators: coronary computed tomographic angiography (CCTA)-stenosis and coronary artery calcium (CAC). PATIENTS AND METHODS: We included a population-based sample, aged 50 to 64 years, recruited between 2013 and 2018 from the Swedish Cardiopulmonary Bioimage Study (n=24,819, 50.3% women). CCTA-stenosis was graded as no stenosis, stenosis (1%-49%) or severe stenosis (≥50%), whereas CAC was graded as 0, 1 to 99, 100 to 399, or ≥400 Agatston units. Multinomial logistic regression and receiver operating characteristic (ROC) curves were used to study the associations between cardiovascular health scores and subclinical coronary atherosclerosis. RESULTS: Odds ratios (ORs) for CCTA-stenosis and severe CCTA-stenosis between the lowest (<50 points) vs the highest (≥80 points) LE8 group were 4.18 (95% CI, 3.56 to 4.91) and 11.17 (95% CI, 8.36 to 14.93), respectively. For corresponding CAC results, ORs were 3.36 (95% CI, 2.84 to 3.98), 7.72 (95% CI, 6.03 to 9.89), and 14.94 (95% CI, 10.47 to 21.31) for CAC scores of 1 to 99, 100 to 399, and ≥400, respectively. Area under ROC curves for predicting any stenosis were 0.642 (95% CI, 0.635 to 0.649) and 0.631 (95% CI, 0.624 to 0.638, P<.001) for LE8 and LS7, respectively. CONCLUSION: Our data indicate that LE8 showed a strong, graded, and inverse association with CCTA-stenosis and CAC score. The capacity to predict CCTA-stenosis was comparable between LE8 and LS7, although LE8 had slightly higher prediction capacity of any stenosis. This study provides novel evidence that the LE8 score may be a useful tool for monitoring cardiovascular health.

Reducing occupational sitting time in adults with type 2 diabetes: Qualitative experiences of an office-adapted mHealth intervention.

AIM: Understanding barriers and facilitators for limiting occupational sitting and what impact it has on health on those with type 2 diabetes is essential for future trials and intervention development in primary healthcare settings. This study aimed to explore the feasibility and acceptability of an intervention using mobile health (mHealth) technology, together with counselling by a diabetes specialist nurse, to reduce occupational sitting in adults with type 2 diabetes. METHODS: Individual semi-structured interviews were conducted in 15 participants with type 2 diabetes who completed a 3-month intervention including mHealth; activity tracker (Garmin Vivofit3) and SMS reminders, one initial face-to-face patient-centred counselling session and three telephone follow-up calls by a diabetes specialist nurse within the primary healthcare system in Sweden. The interviews were recorded, transcribed verbatim and analysed using qualitative content analysis. RESULTS: Two themes were identified: (1) 'From baby steps to milestones' reflecting three categories; 'Small changes make it easier to reduce sitting', 'Encouraged by trustworthy coaching', 'Physical and mental rewards matter' and (2) 'Tailoring strategies that fit me and my workplace' reflecting four categories; 'It's up to me', 'Taking advantage of the support', 'Using creativity to find practical solutions for interrupting sitting' and 'Living up to expectations'. CONCLUSION: The intervention was perceived as feasible and acceptable in different office workplaces, and led to increased awareness of sedentary behaviour in adults with type 2 diabetes. Stepwise goal setting together with personalization of the mHealth intervention should be emphasized in individual type 2 diabetes programmes aiming to reduce workplace sitting.