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The study examines the factors influencing digital hoarding behaviour by applying the dual-factor and regret theories. Additionally, we examine the moderating effect of dispositional greed and fear of missing out (FOMO). Online questionnaires were employed to gather data from a total of 285 participants. The findings indicate that clutter propensity has a negative impact on both perceived materialism and anticipated regret, digital withholding has a positive impact on perceived materialism, anticipated regret and perceived materialism has a positive impact on digital hoarding, digital hoarding has a positive impact on psychological well-being and a negative impact on privacy and security issues. Moderation analysis shows that dispositional greed significantly moderates the relationship between technostress, digital withholding and anticipated regret. The association between digital withholding and perceived materialism is also moderated by dispositional greed. FOMO also significantly moderates the relationship between digital withholding and perceived materialism. This study's findings make valuable additions to the current academic understanding of digital hoarding and provide direction to digital marketers in understanding retail consumers' behaviour towards digital hoarding.
BACKGROUND: Coronary artery disease (CAD) is accelerated in subjects with type 2 diabetes mellitus (T2D). METHODS: To test whether this reflects differential genetic influences on CAD risk in subjects with T2D, we performed a systematic assessment of genetic overlap between CAD and T2D in 66 643 subjects (27 708 with CAD and 24 259 with T2D). Variants showing apparent association with CAD in stratified analyses or evidence of interaction were evaluated in a further 117 787 subjects (16 694 with CAD and 11 537 with T2D). RESULTS: None of the previously characterized CAD loci was found to have specific effects on CAD in T2D individuals, and a genome-wide interaction analysis found no new variants for CAD that could be considered T2D specific. When we considered the overall genetic correlations between CAD and its risk factors, we found no substantial differences in these relationships by T2D background. CONCLUSIONS: This study found no evidence that the genetic architecture of CAD differs in those with T2D compared with those without T2D.
Abstract Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (-0.74<rg<-0.55) and blood pressure (-0.35<rg<-0.20). These findings provide clinically relevant biological insight into heritable variation in vagal heart rhythm regulation, with a key role for genetic variants (GNG11, RGS6) that influence G-protein heterotrimer action in GIRK-channel induced pacemaker membrane hyperpolarization.