Table 1_Association between body composition in early pregnancy and the risk of gestational diabetes mellitus.docx by Yan Li (23143)

“…RCS analysis indicated that the risk of GDM continuously increased with higher levels of PBF and FM, whereas it decreased with FFM and LM (p-overall < 0.001, p-non-linear range: 0.073–0.924). …”

Table_1_Oxidative balance score was negatively associated with the risk of metabolic syndrome, metabolic syndrome severity, and all-cause mortality of patients with metabolic syndr... by Zhixiao Xu (3469277)

“…These associations retained their strength even subsequent to the introduction of sensitivity analyses. There existed a statistically significant negative correlation between diet/lifestyle OBS and both MetS risk as well as MetS severity.…”

Table 1_Metabolites mediate the effects of healthy lifestyles on the risks of common age-related diseases.xlsx by Yan Li (23143)

“…Furthermore, intermediate or healthy lifestyles significantly decreased the age-related risk of stroke, chronic liver disease, chronic kidney disease (CKD), osteoporosis, osteoarthritis, and hypertension. …”

Supplementary file 1_Metabolites mediate the effects of healthy lifestyles on the risks of common age-related diseases.docx by Yan Li (23143)

“…Furthermore, intermediate or healthy lifestyles significantly decreased the age-related risk of stroke, chronic liver disease, chronic kidney disease (CKD), osteoporosis, osteoarthritis, and hypertension. …”

PVD neurons show reduced lysosome function during aging and in the <i>hlh-30</i> mutant. by Ruiling Zhong (22339779)

“…<p><b>(A–D)</b> A fluorescent reporter for luminal acidity of neuronal lysosomal compartments shows that acidity decreases with aging and in the <i><i>hlh-30</i></i> mutant. …”

Science Update: Precipitation and Snowfall in the Narragansett Bay Region by Narragansett Bay Estuary Program (8848544)

“…All data used in this update are available through NBEP. Linear regressions were performed to test for significance. …”

Data Sheet 1_The association of healthy eating index score and n-3 fatty acid intake with cardiovascular diseases incidence and lipid biomarkers in Alberta’s tomorrow project cohor... by Reihane Taheri (14188808)

“…Adjusted multivariate regression in a subset (n = 8,458) showed no association between n-3 FA (g/d) intake and lipid biomarkers but a significant inverse association between HEI score and non-fasting RC [coefficient: −0.006 (95%CI −0.009–−0.003) for females and −0.01 (95%CI −0.018–−0.005) for males], and TG levels [−0.01 (95%CI −0.015–−0.006) for females and −0.01 (95%CI −0.02–−0.006) for males].…”

Data Sheet 1_Association of advanced lung cancer inflammation index with all-cause and cardiovascular mortality in US patients with asthma.pdf by Jiatao Li (10033795)

“…Background<p>Asthma poses a significant global health challenge, representing a chronic respiratory disorder marked by airway inflammation. …”

Association between Lyn tyrosine kinase and renal injury in patients with systemic lupus erythematosus by Jian Sun (27858)

“…</p> <p>Compared to the HC group, SLE patients exhibited a decline in both Lyn mRNA and protein expression in PBMCs, with significant downregulation in the high SLEDAI group versus the low SLEDAI group and a notable reduction in the LN group relative to the non-LN group. …”

Table_1_Association between the Planetary Health Diet Index and biological aging among the U.S. population.DOCX by Shaoqun Huang (19810725)

“…</p>Conclusion<p>Our study explored a significant correlation between PHDI and biological aging, indicating that adherence to PHD may prevent biological aging.…”

Land use intensity classes standard. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Land use transfer matrix 1990-2020 (km²). by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Study area habitat quality LISA clustering map. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Spato-temporal changes in land use types. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Pattern indices of landscape levels. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Type level landscape index changes in 1990-2020. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Location map of the study area. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Data source. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Research Technology Flow Chart. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Supplementary file 1_The effect of development on cortical auditory evoked potentials in normal hearing listeners and cochlear implant users.docx by Eun Kyung Jeon (2032222)

“…</p>Results<p>Both onset and ACC responses were present across groups, with P1 latency decreasing significantly with age in NH and CI listeners. …”