Objectively Measured Sedentary Time and Cardiometabolic Biomarkers in US Hispanic/Latino Adults

Abstract

Background Sedentary behavior is recognized as a distinct construct from lack of moderate-vigorous physical activity and is associated with deleterious health outcomes. Previous studies have primarily relied on self-reported data, while data on the relationship between objectively-measured sedentary time and cardiometabolic biomarkers are sparse, especially among U.S. Hispanics/Latinos. Methods and Results We examined associations of objectively-measured sedentary time (via Actical accelerometers for 7 days) and multiple cardiometabolic biomarkers among 12,083 participants, aged 18–74 years, from the Hispanic Community Health Study/Study of Latinos. Hispanics/Latinos of diverse backgrounds (Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American) were recruited from 4 U.S. cities between 2008 and 2011. Sedentary time (<100 counts/minute) was standardized to 16-hour/day of wear time. The mean sedentary time was 11.9 hours/day (74% of accelerometer wear time). After adjustment for moderate-vigorous physical activity and confounding variables, prolonged sedentary time was associated with decreased high-density lipoprotein (HDL)-cholesterol (P=0.04), and increased triglycerides, 2-hour glucose, fasting insulin and HOMA-IR (all P<0.0001). These associations were generally consistent across age, sex, Hispanic/Latino backgrounds, and physical activity levels. Even among individuals meeting physical activity guidelines, sedentary time was detrimentally associated with several cardiometabolic biomarkers (diastolic blood pressure, HDL-cholesterol, fasting and 2-hour glucose, fasting insulin and HOMA-IR; all P<0.05). Conclusions Our large population-based, objectively-derived data showed deleterious associations between sedentary time and cardiometabolic biomarkers, independent of physical activity, in U.S. Hispanics/Latinos. Our findings emphasize the importance of reducing sedentary behavior for the prevention of cardiometabolic diseases, even in those who meet physical activity recommendations.

Prolonged, Uninterrupted Sedentary Behavior and Glycemic Biomarkers Among US Hispanic/Latino Adults

“…18, 20 Results were additionally adjusted for missing or incomplete accelerometer data using inverse probability weighting as previously described. 25 …”

Spirituality and Physical Activity and Sedentary Behavior among Latino Men and Women in Massachusetts

“…[10][11][12] Although the research on rates of sedentary behavior is limited compared with physical activity and no guidelines currently exist for levels of sedentariness, evidence suggests that Latinos may be spending up to 74% of their waking hours engaged in sedentary behaviors, slightly higher than 70% of waking hours among the general population. 12,13 Furthermore, little is known about the different factors that may influence physical activity and sedentary behavior in Latino populations.…”

Objectively Measured Sedentary Time and Cardiovascular Risk Factor Control in US Hispanics/Latinos With Diabetes Mellitus: Results From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

“…Nonwear time was determined using the Choi algorithm,19 defined as at least 90 consecutive minutes of zero counts, with allowance of 1 or 2 minutes of nonzero counts if no counts were detected in a 30‐minute window upstream and downstream of the 90‐minute period. An adherent day was defined as at least 10 hours of wear time, and at least 3 adherent days were required for inclusion in this analysis 9. Detailed information on accelerometer performance and adherence has been described elsewhere 20.…”

“…It has been described previously that adherence rates in the HCHS/SOL study differed by sex, age, marital status, and other covariates 20. In order to mitigate the influence of selection bias on our results and to account for missing or incomplete accelerometer data,20 inverse probability weighting28 was implemented to weight our results to the study population as a whole, regardless of adherence status, as described previously 9. Inverse probability weighting was chosen as the ideal adjustment method in order to (1) facilitate uniform adjustment for missing data across analyses conducted at multiple study centers with various associations of interest; and (2) ease of incorporation of sampling weights and complex survey parameters while accounting for missing data using current statistical software.…”

“…Emerging evidence suggests that longer duration of time spent in sedentary behaviors is associated with increased risk of adverse health outcomes, including type 2 diabetes mellitus, CVD, cancer, and death, independent of physical activity 8. Recently, we reported data from a large US Hispanic/Latino cohort, the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), suggesting that both sedentary behavior and moderate‐to‐vigorous physical activity (MVPA) have independent associations with cardiometabolic biomarkers 9. However, few studies have investigated these associations using objective physical activity–related measurements in individuals with diabetes mellitus.…”