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Longitudinal Social Networks Impacts on Weight and Weight-Related Behaviors Assessed Using Mobile-Based Ecological Momentary Assessments: Study Protocols for the SPARC Study

Description

Background: The transition from the home to college is a phase in which emerging adults shift toward more unhealthy eating and physical activity patterns, higher body mass indices, thus increasing risk of overweight/obesity. Currently, little is understood about how changing friendship networks shape weight gain behaviors. This paper describes the recruitment,…

Background: The transition from the home to college is a phase in which emerging adults shift toward more unhealthy eating and physical activity patterns, higher body mass indices, thus increasing risk of overweight/obesity. Currently, little is understood about how changing friendship networks shape weight gain behaviors. This paper describes the recruitment, data collection, and data analytic protocols for the SPARC (Social impact of Physical Activity and nutRition in College) study, a longitudinal examination of the mechanisms by which friends and friendship networks influence nutrition and physical activity behaviors and weight gain in the transition to college life.

Methods: The SPARC study aims to follow 1450 university freshmen from a large university over an academic year, collecting data on multiple aspects of friends and friendship networks. Integrating multiple types of data related to student lives, ecological momentary assessments (EMAs) are administered via a cell phone application, devilSPARC. EMAs collected in four 1-week periods (a total of 4 EMA waves) are integrated with linked data from web-based surveys and anthropometric measurements conducted at four times points (for a total of eight data collection periods including EMAs, separated by ~1 month). University databases will provide student card data, allowing integration of both time-dated data on food purchasing, use of physical activity venues, and geographical information system (GIS) locations of these activities relative to other students in their social networks.

Discussion: Findings are intended to guide the development of more effective interventions to enhance behaviors among college students that protect against weight gain during college.

ContributorsBruening, Meg (Author) / Ohri-Vachaspati, Punam (Author) / Brewis, Alexandra (Author) / Laska, Melissa (Author) / Todd, Michael (Author) / Hruschka, Daniel (Author) / Schaefer, David (Author) / Whisner, Corrie (Author) / Dunton, Genevieve (Author) / College of Health Solutions (Contributor)

Created2016-08-30

Accurate State Estimation From Uncertain Data and Models: An Application of Data Assimilation to Mathematical Models of Human Brain Tumors

Description

Background:
Data assimilation refers to methods for updating the state vector (initial condition) of a complex spatiotemporal model (such as a numerical weather model) by combining new observations with one or more prior forecasts. We consider the potential feasibility of this approach for making short-term (60-day) forecasts of the growth and…

Background:
Data assimilation refers to methods for updating the state vector (initial condition) of a complex spatiotemporal model (such as a numerical weather model) by combining new observations with one or more prior forecasts. We consider the potential feasibility of this approach for making short-term (60-day) forecasts of the growth and spread of a malignant brain cancer (glioblastoma multiforme) in individual patient cases, where the observations are synthetic magnetic resonance images of a hypothetical tumor.

Results:
We apply a modern state estimation algorithm (the Local Ensemble Transform Kalman Filter), previously developed for numerical weather prediction, to two different mathematical models of glioblastoma, taking into account likely errors in model parameters and measurement uncertainties in magnetic resonance imaging. The filter can accurately shadow the growth of a representative synthetic tumor for 360 days (six 60-day forecast/update cycles) in the presence of a moderate degree of systematic model error and measurement noise.

Conclusions:
The mathematical methodology described here may prove useful for other modeling efforts in biology and oncology. An accurate forecast system for glioblastoma may prove useful in clinical settings for treatment planning and patient counseling.

ContributorsKostelich, Eric (Author) / Kuang, Yang (Author) / McDaniel, Joshua (Author) / Moore, Nina Z. (Author) / Martirosyan, Nikolay L. (Author) / Preul, Mark C. (Author) / College of Liberal Arts and Sciences (Contributor)

Created2011-12-21

How Privilege and Opportunity Are Associated with Psychological Well-being

Description

Ethnic groups experience different societal and economic circumstances that contribute to their well-being. Life satisfaction and happiness are commonly used as a measure of well-being; but they are not often used to evaluate well-being in lower income countries. This study focuses on the self-reported life satisfaction and happiness of members…

Ethnic groups experience different societal and economic circumstances that contribute to their well-being. Life satisfaction and happiness are commonly used as a measure of well-being; but they are not often used to evaluate well-being in lower income countries. This study focuses on the self-reported life satisfaction and happiness of members of ethnic groups from low- and middle-income countries and its correlation with ethnic privilege, gender opportunity, and income. Using two self-reported measures of well-being—life satisfaction and happiness—among 110,391 women in 27 countries (ages 15-49) surveyed in Multiple Indicator Cluster Surveys, this study examines how country-level indicators of gender opportunity, ethnic-level indicators of privilege and household-level measures of wealth are associated with well-being. Our findings indicate a significant relationship between ethnic privilege, gender opportunity and income on life satisfaction. The results from this study provide valuable data and implications for lower income countries to identify and reduce modifiable risk factors that affect a population’s well-being.

ContributorsChavez Lopez, Giselle (Co-author, Co-author) / Hruschka, Daniel (Thesis director) / Gonzales, Angela (Committee member) / School of Molecular Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)

Created2020-05

Modeling Brain Tumors: Simulating individual Patient Cases of Glioblastoma Multiforme

Description

Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median…

Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median survival time is only twelve months from initial diagnosis: Patients who live more than three years are considered long-term survivors [2]. GBMs are highly invasive and their diffusive growth pattern makes it impossible to remove the tumors by surgery alone [3]. The purpose of this paper is to use individual patient data to parameterize a model of GBMs that allows for data on tumor growth and development to be captured on a clinically relevant time scale. Such an endeavor is the rst step to a clinically applicable predictions of GBMs. Previous research has yielded models that adequately represent the development of GBMs, but they have not attempted to follow specic patient cases through the entire tumor process. Using the model utilized by Kostelich et al. [4], I will attempt to redress this deciency. In doing so, I will improve upon a family of models that can be used to approximate the time of development and/or structure evolution in GBMs. The eventual goal is to incorporate Magnetic Resonance Imaging (MRI) data into a parameterized model of GBMs in such a way that it can be used clinically to predict tumor growth and behavior. Furthermore, I hope to come to a denitive conclusion as to the accuracy of the Koteslich et al. model throughout the development of GBMs tumors.

ContributorsManning, Miles (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Preul, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)

Created2012-12

The Importance of Friendship and Community in a Phoenix Homeless Population

Description

The lonely, empty face panhandling on the street corner has a story to tell. At first glance, most people write the homeless off as less than worthy. However, there is a deeper connection and understanding of relationships and a sense of community unseen by the majority of passer-byers. Amidst the…

The lonely, empty face panhandling on the street corner has a story to tell. At first glance, most people write the homeless off as less than worthy. However, there is a deeper connection and understanding of relationships and a sense of community unseen by the majority of passer-byers. Amidst the humdrum beat of every day life, there is toil to find basic necessities such as food, water, sanitation, and a place to rest. At the same time, there is laughter and friendship as they help one another through the hostilities of their circumstances. Combining the creative elements of photojournalism and qualitative interviewing, the basic daily needs and struggles of the homeless will be delved into to answer how friendship is pertinent to survival on the streets.

ContributorsFisher, Meghan (Author) / Hruschka, Daniel (Thesis director) / Hita, Liza (Committee member) / Newland, Judy (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)

Created2012-12

The Association of Community Membership and Socioeconomic Status in India with Contraceptive Use

Description

Examining the effect of various factors such as class, gender, and status on health inequalities in India is crucial for improving access to health services. However, most research on castes in India is done using broad, government-defined categories, including “Scheduled Castes,” “Scheduled Tribes,” “Forward Classes,” and “Other Backwards Classes.” These…

Examining the effect of various factors such as class, gender, and status on health inequalities in India is crucial for improving access to health services. However, most research on castes in India is done using broad, government-defined categories, including “Scheduled Castes,” “Scheduled Tribes,” “Forward Classes,” and “Other Backwards Classes.” These general categories erase the experiences that more specific caste groups have in their health and their livelihood. Using the 2015-2016 Demographic and Health Survey of India, this study analyzes data on 699,686 women aged 15-49 to investigate the association of socioeconomic status, assessed by wealth, education, and community status on two types of contraceptive use–sterilization and other modern methods. Those with secondary education or higher were much less likely to be sterilized and more likely to use non-sterilization forms of modern contraception. Interestingly, those with greater household wealth were more likely to be sterilized but had no different chance of using non-sterilization forms of modern contraception. After controlling for other socioeconomic factors, members of Scheduled Castes and Backward Classes are more likely to be sterilized. However, there was additional heterogeneity between groups, with Muslim groups and Northeastern tribes much less likely to be sterilized, and Southern tribes more likely to be sterilized. Moreover, Muslim groups as well as Northern and Northeastern tribes were more likely to use non-sterilizations forms of contraception, whereas Southern tribes were less likely to use non-sterilization forms of contraception. These findings illustrate that in addition to differences by major caste categories, there is still religious and regional variation in the likelihood of using different forms of contraception. Future research should examine how unique community factors erased within the already present government caste system can affect health. In addition, more research should be done on the various effects of discrimination faced by these communities and how this discrimination affects their health education, access, and autonomy.

ContributorsChandra, Natasha (Author) / Hruschka, Daniel (Thesis director) / Drake, Alexandria (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / School of International Letters and Cultures (Contributor) / Dean, W.P. Carey School of Business (Contributor)

Created2024-05