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How truth wins in social groups is an important open problem. Classic experiments on social groups dealing with truth statement issues present mixed findings on the conditions of truth abandonment and reaching a consensus on the truth. No theory has been developed and evaluated that might integrate these findings with a mathematical model of the interpersonal influence system that alters some or all of its members’ positions on an issue. In this paper we provide evidence that a general model in the network science on opinion dynamics substantially clarifies how truth wins in groups.

Abstract Increased exposure to greenspace is potentially associated with lower risk of Alzheimer's disease and related disorders (ADRD) through increased physical activity, decreased stress, cleaner air, and social cohesion. Previous studies have primarily used global measures of greenspace, thus specific aspects of different types of greenspaces are overlooked. We assess how different measures of greenspaces associate with global cognitive functioning. We examined data from year 10 of the Pittsburgh site of Health, Aging, and Body Composition Study, a longitudinal cohort study of community-dwelling, Black and White adults aged 70-79 years at baseline. Measures derived from the National Land Cover Database (NLCD) use satellite imaging and include total greenspace, forests, and an index of greenspace diversity. Measures from Google Street View virtual neighborhood audits include dedicated greenspace that promotes physical activity, abandoned buildings, and undeveloped land. We measured global cognitive functioning using the Modified Mini-Mental State Examination (3MS). We conducted cross-sectional linear regression models. Covariates included race, education, and neighborhood socioeconomic status. Age was not included as a covariate because the range was narrow, and results did not vary by age. The sample (n=584) was 82.2 years old on average, 57% female, and 35% Black. Total greenspace (F=0.46, p=0.49), forests, and greenspace diversity, dedicated greenspace for physical activity (F=0.87, p=0.35), undeveloped land (F=1.49, p=0.22), and abandoned buildings (F=3.6, p=0.058) were not associated with 3MS, although the relation with abandoned buildings approached significance. We found no association between greenspaces and ADRD, although specific measures, such as abandoned buildings, may need further investigation.