Table 1 presents the sample characteristics of the accelerometry

Table 1 presents the sample characteristics of the accelerometry sample by SEP score group (prior to MI) with casewise deletion of missing values (N=1651). In total 628 participants in the accelerometry sample had at least one covariate imputed. The variables with the most imputed values were household income (361 imputed) and BMI (233 imputed). Participants from lower SEP groups were more useful site likely to be female, older, have a higher BMI, spend less time sedentary overall and sitting at work, but spend more time watching TV than individuals in higher SEP groups. Lower SEP individuals were also more likely to report a limiting longstanding illness and difficulties with usual daily activities,

and be a current cigarette smoker, but less likely to be a heavy drinker and meet physical activity guidelines. The mean wear time on valid days was 831 min. The mean number of valid days (for those with at least 1 valid day) was 6 days. Table 1 Sample characteristics by socioeconomic position score Composite SEP and ST Figure 1 presents the GLM estimated marginal means and their 95% CIs describing the associations between composite SEP score and each measure

of ST. SEP was positively associated with accelerometry-measured ST and occupational sitting/standing time, and inversely associated with TV time in all models. There were no associations between SEP and non-TV sitting time. Adjustments for potential confounders made no material difference to all above associations. Figure 2 presents associations between SEP score and accelerometry-measured ST, stratified by employment status. SEP score was positively associated with accelerometry-measured ST for those in employment only. SEP was inversely associated with TV time regardless of employment status, while non-TV leisure-time sitting was positively

associated with SEP (SEP1 coefficient 134, 95% CI 125 to 145; SEP5 coefficient 177, 155 to 198), but only for those not in employment. However this association was not linear (data not shown). Figure 1 Multivariate-adjusted average daily sedentary time by socioeconomic position (SEP) score. Batimastat Model 1: adjusted for age and sex; model 2: further adjustments for area deprivation, body mass index (BMI), limiting long standing illness, difficulty with usual … Figure 2 Multivariate-adjusted accelerometer-measured sedentary time by socioeconomic position (SEP) score for individuals stratified by employment status. Model 1: adjusted for age and sex; model 2: further adjustments for area deprivation, body mass index (BMI), … Equivalised household income and ST Figure 3 presents associations between household income and each measure of ST. Household income was positively associated with accelerometer-measured ST and occupational sitting time and these associations persisted following adjustments for MVPA and other confounders.

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