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Background: Elevated blood pressure distributes metabolic resources through the body, but can also cause pathology. Life history theory predicts that natural selection has acted on energy allocation, leading to strategic adjustments to psychosocial and energetic challenges posed by one’s environment. Objective: We test whether greater psychosocial challenges will necessitate increases in mean arterial pressure (MAP), predicting that greater social-economic-political-emotional (SEPE) stress is associated with higher MAP. We also test whether adiposity is positively associated with MAP. Methods: We measured the growth and development of 222 children longitudinally and cross sectionally from 2023-2025 in Utila, Honduras, where inhabitants experience varying levels of SEPE stressors. We measured standard anthropometrics, blood pressure, and morning salivary hormones. SEPE factors were collected from the primary caregiver at the time of consent to the study. Results: A Saint Nicolaus House Analysis network of associations showed a positive correlation between age adjusted MAP and body fat percentage (r = 0.29). Multiple regression analysis showed no significant relationship between SEPE factors and MAP (β = -0.89 and -0.75; p = 0.17 and 0.49) and instead showed a positive relationship between body fat percentage and MAP (β = 3.17; p = 0.01). Conclusion: Body fat percentage strongly predicts higher blood pressure, suggesting that metabolic status of children is an important predictor of potential cardiovascular risk. In contrast to our predictions, MAP appears relatively robust to variable exposures of stress among children in Utila. These findings underscore the need for cultural and location-specific studies of stress and blood pressure. 

{"Abstract":["This package contains the full data products of the Lyman-alpha Tomography IMACS Survey (LATIS) as presented by Newman et al (2025), "LATIS Data Release: ∼ 4200 Spectra of z ∼ 2−3 Galaxies, Redshifts, and IGM Tomography Maps." These include spectroscopic redshifts, 1D spectra, maps of the targeting and spectroscopic sucess rates, IGM tomography maps, and mock surveys. All products are documented in the README file."]} 

Abstract We investigate the environmental dependence of galaxy properties atz ∼ 2.5 using the LyαTomography IMACS Survey (LATIS), which provides high-resolution three-dimensional maps of intergalactic medium (IGM) overdensity via Lyαforest tomography. Our analysis focuses on a UV-selected spectroscopic sample of 2185 galaxies from LATIS and a complementary set of 1157 galaxies from heterogeneous spectroscopic surveys in the COSMOS field. We compare these data sets to forward-modeled mock catalogs constructed from the IllustrisTNG300-1 simulation, incorporating realistic selection functions to match both LATIS and the literature sample. While the mass-complete simulation predicts strong environmental trends—more massive and quiescent galaxies preferentially occupy overdense regions—we find that such trends are significantly weaker or absent in the observed samples. The LATIS galaxies show no measurable correlation between specific star formation rate (sSFR) and IGM overdensity, a result reproduced by LATIS-like mock catalogs, confirming that UV selection systematically excludes passive and dusty galaxies in dense environments. The literature compilation, despite improved high-mass coverage, remains incomplete and affected by similar biases. We also analyze a mass-complete photometric sample from the COSMOS-Web catalog atz ∼ 2.5 and find no detectable sSFR–environment relation, a null result that our simulations indicate can be explained by photometric redshift uncertainties. In particular, we find no evidence for a reversal of the sSFR–density relation at cosmic noon. These results demonstrate that observed correlations can be heavily shaped by selection effects and caution against inferring physical trends from incomplete spectroscopic samples. Deeper, more representative spectroscopic surveys are needed to robustly characterize environmental effects at this epoch. 

Abstract We present the data release of the LyαTomography IMACS Survey (LATIS), one of the largest optical spectroscopic surveys of faint high-redshift galaxies. The survey provides 7408 optical spectra of candidatez∼ 2–3 galaxies and QSOs in the Canada–France–Hawaii Telescope Legacy Survey D1, D2 (COSMOS), and D4 fields. TheR∼ 1000 spectra were obtained using the Inamori Magellan Areal Camera and Spectrograph (IMACS) at the Magellan Baade telescope, with typical integrations of 12 hr. From these spectra, we measured 5575 high-confidence spectroscopic redshifts, of which 4176 are atz> 1.7, thereby substantially increasing the number of public spectroscopic redshifts atz≈ 2–3 in COSMOS and the other survey fields. The data release includes Lyαtransmission fluctuations measured in 4.7 × 10⁵pixels, which were used to create 3D maps of the intergalactic medium (IGM) transmission spanning 1.65 deg²andz= 2.2–2.8 at a resolution of 4h⁻¹cMpc. These are the largest such maps to date and provide a novel tracer of large-scale structure in legacy fields. We also provide ancillary data, including mock surveys. The LATIS data will enable a variety of community studies of galaxy evolution, environments, and the IGM around cosmic noon. 

To gain support, children use signals to communicate their needs and wants to parents. Infant signals of need, particularly infant cries, have been extensively studied in diverse populations. However, the full range of potential child signals of need, which extend beyond cries, has rarely been investigated in a single study of children of all ages. To help fill this gap, we collected mother and other primary caregiver reports of three common types of child signaling from 131 families with 263 children on Utila, a small island off the coast of Honduras. In exploratory analyses, we found that child signaling was common in both sexes and across all ages, although it decreased with age and neighborhood quality and increased with the frequency of conflict between children and caretakers. Consistent with signaling theory, children who were sad more frequently were perceived as needier within the household and were more likely to receive investment. Caregivers were less likely to respond positively in situations of family conflict or child transgressions, and more likely for injuries and illness. Our results suggest that evolutionary theories of signaling can help explain patterns of child sadness, crying, and temper tantrums.