A Hypothesis Test for Detecting Spatial Patterns in Categorical Areal Data.

The vast growth of spatial datasets in recent decades has fueled the development of many statistical methods for detecting spatial patterns. Two of the most commonly studied spatial patterns are clustering, loosely defined as datapoints with similar attributes existing close together, and dispersion, loosely defined as the semi-regular placement of datapoints with similar attributes. In this work, we develop a hypothesis test to detect spatial clustering or dispersion at specific distances in categorical areal data. Such data consists of a set of spatial regions whose boundaries are fixed and known (e.g., counties) associated with a categorical random variable (e.g. whether the county is rural, micropolitan, or metropolitan). We propose a method to extend the positive area proportion function (developed for detecting spatial clustering in binary areal data) to the categorical case. This proposal, referred to as the categorical positive areal proportion function test, can detect various spatial patterns, including homogeneous clusters, heterogeneous clusters, and dispersion. Our approach is the first method capable of distinguishing between different types of clustering in categorical areal data. After validating our method using an extensive simulation study, we use the categorical positive area proportion function test to detect spatial patterns in Boulder County, Colorado USA biological, agricultural, built and open conservation easements.

Intimate Partner Violence and Antenatal Depression Among Underserved Pregnant Women.

Introduction: Few studies have examined the associations of intimate partner violence (IPV) exposure during pregnancy and types of IPV with antenatal depression among underserved pregnant women. Methods: Data came from participants from a Healthy Start program in South Carolina between 2015 and 2019 (n = 1,629). The first two questions in the Woman Abuse Screening Tool (WAST) were used to measure IPV exposure, that is, having a problematic relationship with their partner. Those who had IPV exposure were assessed with six additional questions of the WAST. Principal component analysis was conducted on the 8-item WAST data to identify underlying types of IPV exposure. Antenatal depression was defined as the Center for Epidemiologic Studies Depression scores ≥16. Results: Participants were racially diverse (71% black, 21% white) with 85% Medicaid recipients. Nearly 12% of participants reported IPV exposure and 30% reported antenatal depression. The odds of having IPV exposure were higher among unmarried women, those with less than a high school education, and those who lacked family support. The odds of having antenatal depression were 2.5 times higher (95% CI: 1.9-3.5) among women with IPV exposure. After controlling for covariates, a one-point increase in the scores for psychological IPV (Factor 1) or a problematic relationship (Factor 3) was associated with increased odds of antenatal depression. Conclusion: This is one of the first studies to estimate the prevalence of IPV exposure using a proxy measure (a problematic relationship) among underserved U.S. pregnant women. Its positive association with antenatal depression suggests the utility of screening for a problematic relationship using a two-item WAST and providing assistance to those with IPV exposure.

Antenatal depressive symptoms and adverse birth outcomes in healthy start participants: The modifying role of utilization of mental health services.

OBJECTIVE: We examined the association between antenatal depressive symptoms and adverse birth outcomes in Midland Healthy Start (MHS) participants and determined whether receiving mental health services reduced the odds of adverse outcomes among those with elevated antenatal depressive symptoms. METHOD: Data from a retrospective cohort of participants (N = 1,733) served by the MHS in South Carolina (2010-2019) were linked with their birth certificates. A score of ≥16 on the Center for Epidemiologic Studies Depression Scale was defined as elevated antenatal depressive symptoms. Services provided by MHS were categorized into: (1) receiving mental health services, (2) receiving other services, and (3) not receiving any services. Adverse birth outcomes included preterm birth, low birth weight, and small for gestational age. RESULTS: Around 31 % had elevated antenatal depressive symptoms. The prevalences of preterm birth, low birthweight, and small for gestational age were 9.5 %, 9.1 %, and 14.6 %, respectively. No significant associations were observed between elevated depressive symptoms and adverse outcomes. Among women with elevated antenatal depressive symptoms, the odds for small for gestational age were lower in those who received mental health services (AOR 0.33, 95 % CI 0.15-0.72) or other services (AOR 0.34, 95 % CI 0.16-0.74) compared to those who did not receive any services. The odds for low birth weight (AOR 0.34, 95 % CI 0.13-0.93) were also lower in those who received mental health services. CONCLUSIONS: Receiving screening and referral services for antenatal depression reduced the risks of having small for gestational age or low birth weight babies among MHS participants.

Network-based statistics distinguish anomic and Broca's aphasia.

INTRODUCTION: Aphasia is a speech-language impairment commonly caused by damage to the left hemisphere. The neural mechanisms that underpin different types of aphasia and their symptoms are still not fully understood. This study aims to identify differences in resting-state functional connectivity between anomic and Broca's aphasia measured through resting-state functional magnetic resonance imaging (rs-fMRI). METHODS: We used the network-based statistic (NBS) method, as well as voxel- and connectome-based lesion symptom mapping (V-, CLSM), to identify distinct neural correlates of the anomic and Broca's groups. To control for lesion effect, we included lesion volume as a covariate in both the NBS method and LSM. RESULTS: NBS identified a subnetwork located in the dorsal language stream bilaterally, including supramarginal gyrus, primary sensory, motor, and auditory cortices, and insula. The connections in the subnetwork were weaker in the Broca's group than the anomic group. The properties of the subnetwork were examined through complex network measures, which indicated that regions in right inferior frontal sulcus, right paracentral lobule, and bilateral superior temporal gyrus exhibit intensive interaction. Left superior temporal gyrus, right postcentral gyrus, and left supramarginal gyrus play an important role in information flow and overall communication efficiency. Disruption of this network underlies the constellation of symptoms associated with Broca's aphasia. Whole-brain CLSM did not detect any significant connections, suggesting an advantage of NBS when thousands of connections are considered. However, CLSM identified connections that differentiated Broca's from anomic aphasia when analysis was restricted to a hypothesized network of interest. DISCUSSION: We identified novel signatures of resting-state brain network differences between groups of individuals with anomic and Broca's aphasia. We identified a subnetwork of connections that statistically differentiated the resting-state brain networks of the two groups, in comparison with standard CLSM results that yielded isolated connections. Network-level analyses are useful tools for the investigation of the neural correlates of language deficits post-stroke.

Impact of a Large Healthy Start Program on Perinatal Outcomes, South Carolina, 2009-2019.

Using linked birth and death certificates for participants served by a Healthy Start program in South Carolina and community controls, we found that the Healthy Start program contributed to significant improvements in prenatal care, breastfeeding initiation, and participation in the Special Supplemental Nutrition Program for Women, Infants, and Children and significant reductions in inadequate weight gain and large-for-gestational-age births. However, Healthy Start participants were more likely to gain excessive weight during pregnancy, and there were no significant differences in perinatal outcomes. (Am J Public Health. 2023;113(5):509-513. https://doi.org/10.2105/AJPH.2023.307232).

Network-based statistics distinguish anomic and Broca aphasia.

Aphasia is a speech-language impairment commonly caused by damage to the left hemisphere. Due to the complexity of speech-language processing, the neural mechanisms that underpin various symptoms between different types of aphasia are still not fully understood. We used the network-based statistic method to identify distinct subnetwork(s) of connections differentiating the resting-state functional networks of the anomic and Broca groups. We identified one such subnetwork that mainly involved the brain regions in the premotor, primary motor, primary auditory, and primary sensory cortices in both hemispheres. The majority of connections in the subnetwork were weaker in the Broca group than the anomic group. The network properties of the subnetwork were examined through complex network measures, which indicated that the regions in the superior temporal gyrus and auditory cortex bilaterally exhibit intensive interaction, and primary motor, premotor and primary sensory cortices in the left hemisphere play an important role in information flow and overall communication efficiency. These findings underlied articulatory difficulties and reduced repetition performance in Broca aphasia, which are rarely observed in anomic aphasia. This research provides novel findings into the resting-state brain network differences between groups of individuals with anomic and Broca aphasia. We identified a subnetwork of, rather than isolated, connections that statistically differentiate the resting-state brain networks of the two groups, in comparison with standard lesion symptom mapping results that yield isolated connections.