University of Minnesota

About: University of Minnesota is a education organization based out in Minneapolis, Minnesota, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 117432 authors who have published 257986 publications receiving 11944239 citations. The organization is also known as: University of Minnesota, Twin Cities & University of Minnesota-Twin Cities.

Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change.

Abstract: Emerging adulthood: a unique developmental stage Over the past 50 years, major population-level demographic shifts including increases in postsecondary education and delays in marriage and childbearing have occurred. These shifts have opened the door for a period of “emerging adulthood,” typically defined as 18–25 years of age (1). This period is marked by important transitions such as leaving home and increasing autonomy in decision-making; however at the same time, adult responsibilities such as financial independence and residential and employment stability are still in flux. This period of emerging adulthood may be an important, yet overlooked, age for establishing long-term health behavior patterns. Several factors differentiate emerging adulthood from other life stages and have specific relevance to the formation of health behavior patterns, including identity development and shifting interpersonal influences. One defining characteristic of this life stage is the development of a self identity. Emerging adulthood is a time for the exploration of new ideologies and behaviors which allow individuals to express their individuality. Given previous research showing that identity (e.g., incorporating healthy lifestyle characteristics in the concept of one’s self) is an important indicator of lasting health behavior change, emerging adulthood may be a particularly important time for establishing and intervening on long-term health behavior patterns (2,3). In addition, other psychosocial attributes associated with beneficial health behaviors (e.g., self-efficacy) develop or become established during this period of emerging adulthood (4), providing support for the unique importance of this life stage in long-term behavioral patterning. Emerging adulthood may also be a time for changing support systems and shifting interpersonal influences. Although the influence of parents and family is well established in the literature on childhood and, to a lesser extent, adolescent diet and physical activity patterns, little research has examined these issues among young adults. Young adults spend more leisure time alone compared to other age group (except retirees ≥55 years) (5) and are often assumed to be more disconnected from their family. However, some research suggests that closer relationships with parents (6,7) and siblings (8) may evolve as youth transition into college and adulthood (9,10). As youth become more independent, family and social network influences begin to shift and may serve different roles, as compared to that which they served in childhood and adolescence. Much additional research is needed to understand the evolving social influences in the emerging adult years and the extent to which this may influence health behavior patterns. Given the overall paucity of research in this area, more work is needed to understand better how the unique characteristics of emerging adulthood may contribute to establishing long-term behavioral patterns and the possible vulnerability of this life stage to various influences. Obesity is a major public health concern, and effective population-wide intervention strategies aimed at reducing obesity are needed. Although a growing body of literature has explored modifiable determinants of excess weight gain in adults and, to a lesser extent, in children, other important ages have been understudied. Though once considered to be an age of optimal health and well-being, the transition from adolescence to young adulthood is gaining recognition as an important time for health promotion and disease prevention. Not only is the presence of obesity and unhealthy lifestyle characteristics at this life stage associated with increased chronic disease risk, but this also may be a critical time during which young people establish independence and adopt lasting health behavior patterns. The objectives of this article are to: (i) describe emerging adulthood as a developmentally unique life stage, (ii) highlight epidemiologic evidence documenting adverse changes in diet, physical activity, and weight during this stage, (iii) discuss the influence of food and beverage marketing targeting emerging adults, and (iv) illustrate the need for health promotion and intervention efforts that could target young adults through settings such as postsecondary institutions. emerging Adulthood and Collegeaged youth: An overlooked Age for Weight-related behavior Change

Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).

Abstract: This article reviews the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) in model selection and the appraisal of psychological theory. The focus is on latent variable models, given their growing use in theory testing and construction. Theoretical statistical results in regression are discussed, and more important issues are illustrated with novel simulations involving latent variable models including factor analysis, latent profile analysis, and factor mixture models. Asymptotically, the BIC is consistent, in that it will select the true model if, among other assumptions, the true model is among the candidate models considered. The AIC is not consistent under these circumstances. When the true model is not in the candidate model set the AIC is efficient, in that it will asymptotically choose whichever model minimizes the mean squared error of prediction/estimation. The BIC is not efficient under these circumstances. Unlike the BIC, the AIC also has a minimax property, in that it can minimize the maximum possible risk in finite sample sizes. In sum, the AIC and BIC have quite different properties that require different assumptions, and applied researchers and methodologists alike will benefit from improved understanding of the asymptotic and finite-sample behavior of these criteria. The ultimate decision to use the AIC or BIC depends on many factors, including the loss function employed, the study's methodological design, the substantive research question, and the notion of a true model and its applicability to the study at hand.

Peasants or Bankers? The American Electorate and the U.S. Economy.

Abstract: T | 'he usual model of electoral reaction to economic conditions assumes the "retrospective" economic voter who bases expectations solely on recent economic performance or personal economic experience (voter as "peasant"). A second model assumes a "sophisticated" economic voter who incorporates new information about the future into personal economic expectations (voter as "banker"). Using the components, both retrospective and prospective, of the Index of Consumer Sentiment (ICS) as intervening variables between economic conditions and approval, we find that the prospective component fully accounts for the presidential approval time series. With aggregate consumer expectations about long-term business conditions in the approval equation, neither the usual economic indicators not the other ICS components matter. Moreover, short-term changes in consumer expectations respond more to current forecasts than to the current economy. The qualitative result is a rational expectations outcome: the electorate anticipates the economic future and rewards or punishes the president for economic events before they happen. Economics moves political behavior. With hard times, administrations lose support; with good times, they gain it. We know this to be true. But when we ask how-by what processes-the political translation of economic experience occurs, the an

A unified convergence analysis of block successive minimization methods for nonsmooth optimization

Abstract: The block coordinate descent (BCD) method is widely used for minimizing a continuous function $f$ of several block variables. At each iteration of this method, a single block of variables is optimized, while the remaining variables are held fixed. To ensure the convergence of the BCD method, the subproblem of each block variable needs to be solved to its unique global optimal. Unfortunately, this requirement is often too restrictive for many practical scenarios. In this paper, we study an alternative inexact BCD approach which updates the variable blocks by successively minimizing a sequence of approximations of $f$ which are either locally tight upper bounds of $f$ or strictly convex local approximations of $f$. The main contributions of this work include the characterizations of the convergence conditions for a fairly wide class of such methods, especially for the cases where the objective functions are either nondifferentiable or nonconvex. Our results unify and extend the existing convergence results ...