Study population
We obtained data from the National Health and Nutrition Examination Survey (NHANES), a continuous survey using a cross-sectional, stratified, multistage probability sampling method to obtain a representative sample of the US population every 2 years since 1999. All NHANES protocols were approved by the ethics review board of the US National Center for Health Statistics and written informed consent was provided by each participant. Detailed descriptions of the survey have been published elsewhere.(2, 13, 14) In the present study, adults ≥20 years old in four NHANES cycles (2011-2012, 2013-2014, 2015-2016, 2017-2018) with complete information on self-reported daily sitting time and LTPA and whole body DXA measured fat distribution were included.(2, 15)
Daily Sitting Time and Leisure-Time Physical Activity
Self-reported time spent on daily sitting and weekly LTPA were based on respondent-level interviews using the Global Physical Activity Questionnaire (GPAQ).(2, 16) Participants were asked to recall “On a typical day, how much time do you usually spend sitting at school, at home, getting to and from places, or with friends including time spent sitting at a desk, traveling in a car or bus, reading, playing cards, watching television, or using a computer (except for time spent sleeping)?” Responses were converted to hours per day and further categorized into: 0 to <4, 4 to <6, 6-8 and ≥8 h/d according to recent studies (17, 18). The total time spent on LTPA was calculated as minutes of moderate- and vigorous-intensity recreational activities plus twice the minutes of vigorous recreational activities per week as reported.(19, 20) According to the 2018 Physical Activity Guidelines for American adults: people without any LTPA, with LTPA >0 minutes but <150 minutes/week, and with LTPA ≥150 minutes/week in the past week were classified as inactive, insufficiently active and sufficiently active, respectively.(19, 20)
Measurement of Fat Distribution
Whole body fat distributions were determined by DXA scans using a Hologic QDR-4500A fan-beam densitometer by certified radiology technologists in the NHANES mobile examination center. Hologic Discovery software 12.1 was used to analyze the DXA exams and provided the body composition data. Fat percentages for total body (including the head, limbs, and trunk area) and trunk (only the trunk area) were derived to measure the magnitude and distribution of body fat.
Assessment of Covariates
The covariates included sociodemographic data (age, sex, race/ethnicity, education attainment, and family poverty ratio), lifestyle behaviors (smoking status, alcohol use, total energy intake, and healthy eating index-2015 [HEI-2015]), and chronic conditions (hypertension, hypercholesterolemia, history of diabetes, history of cardiovascular diseases, history of cancer, and depression). Race/ethnicity was categorized as non-Hispanic White, non-Hispanic Black, Hispanic, and Other. Education attainment was categorized as less than high school diploma (<high school), high school graduate, and some college graduate or more (>high school). Family poverty ratio was defined as the ratio of family income to the Federal Poverty Level and categorized as <1.30, 1.30-3.49, and ≥3.50. Total energy intake and HEI-2015 were derived from a 24-h dietary interview. HEI-2015 is a measure for assessing dietary quality and aligns with the Dietary Guidelines for Americans (21); HEI-2015 scores range from 0-100, with higher scores reflecting better diet quality.
Hypertension was determined by participants receiving a diagnosis from a health professional or NHANES-measured blood pressure greater than or equal to 130 mm Hg systolic or greater than or equal to 80 mm Hg diastolic. Hypercholesterolemia was determined by participants receiving a diagnosis from a health professional or NHANES-measured total cholesterol level greater than or equal to 240 mg/dL (to convert to millimoles per liter, multiply by 0.0259). History of chronic diseases (diabetes, cardiovascular disease [CVD], and cancer) was determined by participants receiving these diagnoses from health professionals or if participants were instructed to take prescribed medications for these conditions. Depression was assessed using the Patient Health Questionnaire (PHQ-9) and individuals with PHQ-9 scores ≥10 were considered as having major depression.(22)
Statistical analysis
Following the NHANES analytic guidelines, all analyses accounted for the unequal probability of selection, oversampling of certain subpopulations, and nonresponse adjustments to ensure nationally representative estimates.(2, 13) Sample sizes and weighted percentages were calculated according to participants’ characteristics and sex. Multivariable weighted linear regression models were applied to estimate β-coefficient and 95% confidence intervals (CIs) for the association of daily sitting time and LTPA with total and trunk fat percentages. Final-stage multivariable models were adjusted for age, sex, race/ethnicity, education attainment, family poverty ratio, smoking status, alcohol use, and HEI-2015, hypertension, hypercholesterolemia, history of diabetes, CVD, and cancer and depression. To examine joint associations, participants were classified based on daily sitting time and LTPA to estimate β-coefficient and 95% confidence intervals (CIs) using multivariable linear regression models adjusting for the same set of covariates. All analyses were conducted separately among female and male due to the biological difference in body composition. Multiple datasets were aggregated using SAS 9.4 (SAS Institute, North Carolina, US) and all statistical tests were done using Stata, version 16.0 (Stata Corp. LLC). Statistical tests were two-sided and statistical significance was set at p <0.05.