The phrase "associations highlighted" is correct and usable in written English.
It can be used when referring to specific connections or relationships that have been emphasized or marked in a text or discussion.
Example: "In the report, the associations highlighted between diet and health outcomes provide valuable insights for future research."
Alternatives: "emphasized connections" or "marked associations".
Other associations (highlighted on the basis of their p-values, without relying on threshold p-value to define statistical significance) were considered as hypothesis-generating.
The findings relating to personality need to be interpreted with the same caution, and more research is required to understand the basis of the associations highlighted in this study between personality, healthcare and communication.
Overall, our findings suggest that the observed associations highlighted a discrepancy between RA patients' perceptions of their participation in PA and ST (as determined via responses to the IPAQ) and what was the case objectively.
However it could be expected that in a TTO exercise with a longer time horizon, e.g. life time, the associations highlighted in this study may play an even greater role and this should be investigated.
Interviews with representatives of these associations highlight that while they operated without legal status and were under constant police control, their activities were nonetheless tolerated (within certain limits) by the state.
Yet we still observed significant associations highlighting important areas for future research and intervention development.
Collectively, these associations highlight the underpinning role of inflammation in SLE-related CAD.
These striking three-way associations highlight functionally dissociable, structurally instantiated MTL neurocognitive networks for complex face and scene perception.
These associations highlight not only the importance of microRNAs as predictive biomarkers, but also the possibility to use them as an alternative approach for tackling drug resistance.
In GWAS, the association between millions of genetic markers (usually SNPs) and phenotype(s) of interest is studied, with significant associations highlighting the genomic regions harboring the functional variants involved in the control of the trait.
The difficulty inherent in making decisions regarding the inclusion or exclusion of variants that have potential disease associations highlights the need for a methodical and methodologically uniform approach to assessing such reports as they appear in the literature [ 16].
