2023
DOI: 10.1016/j.jad.2022.11.088
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Associations of serum zinc, copper, and selenium with sleep disorders in the American adults: Data from NHANES 2011–2016

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Cited by 27 publications
(13 citation statements)
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“…Furthermore, the restricted cubic spline (RCS) models were utilized to examine the dose-response relationships between dietary carotenoid intakes and sleep duration, with three knots located at the 5th, 50th, and 95th percentiles of the distributions [24,25] . For more visual purposes, we illustrated the levels of dietary carotenoid intakes in participants with different sleep durations, with sleep duration (continuous, h/night) on the X-axis [14] .…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, the restricted cubic spline (RCS) models were utilized to examine the dose-response relationships between dietary carotenoid intakes and sleep duration, with three knots located at the 5th, 50th, and 95th percentiles of the distributions [24,25] . For more visual purposes, we illustrated the levels of dietary carotenoid intakes in participants with different sleep durations, with sleep duration (continuous, h/night) on the X-axis [14] .…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, the restricted cubic spline (RCS) models were utilized to examine the dose-response relationships between dietary carotenoid intakes and sleep duration, with three knots located at the 5 th , 50 th , and 95 th percentiles of the distributions [25,26]. For more visual purposes, we illustrated the levels of dietary carotenoid intakes in participants with different sleep durations, with sleep duration (continuous, h/night) on the X-axis [5].…”
Section: Discussionmentioning
confidence: 99%
“…Based on previously published research, potential covariates associated with CRDs have been identi ed [49][50][51][52][53]. The presence of mediating effects among these covariates was evaluated using the method proposed by Baron and Kenny [54].…”
Section: Covariatesmentioning
confidence: 99%
“…The sociodemographic variables included age categories (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59), and 60 years and older), gender (female and male), racial groups (Non-Hispanic White, Mexican American, Non-Hispanic Black, and Other/Multiracial), marital status (Married, Widowed, Divorced, Separated, Never married, and Living with partner), levels of educational attainment (below high school graduate, high school graduate or equivalent, and some college education or higher), and tiers of family income (0-130% of the Federal Poverty Level (FPL), 131-350% of the FPL, and above 350% of the FPL, where FPL is de ned as the family income to poverty threshold ratio). Behavioral characteristics were delineated by smoking status (Individuals with a lifetime consumption of 100 or more cigarettes were classi ed as smokers, with the designation being recorded as either 'yes' or 'no'), alcohol consumption (no or yes), and physical activity levels (inactive or active).…”
Section: Covariatesmentioning
confidence: 99%