Browsing by Author "Park, Seho"
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Item Association Between Quality of Life and Depression in Dyads of Older Primary Care Patients and Family Members(Oxford University Press, 2022-12-20) Fowler, Nicole; Perkins, Anthony; Park, Seho; Schroeder, Matthew; Boustani, Malaz; School of NursingFamilial dyads experience illness as an interdependent unit. We evaluate the association of quality of life (QOL), as measured by physical (PCS) and mental health component (MCS) scores, with depression in dyads of older primary care patients and a family member. This is a cross sectional, descriptive study where QOL and depression were measured concurrently in the dyad using baseline data from 1809 dyads enrolled in a trial testing the benefits and harms of Alzheimer’s disease and related dementias (ADRD) screening. QOL was measured with the SF-36, depression was measured with the PHQ-9, and the association of depression with QOL was examined using an actor-partner interdependence model with distinguishable dyads. Patient mean (SD) age was 73.7 (5.7) years; 53.1% women; 85.1% white; 13.4% black. Family member mean (SD) age was 64.2 (13) years; 67.7% women; 13.4% black. A patient’s spouse/partner were 64.8% of family members. After controlling for dyadic relationship and gender, significant actor effects of depression on PCS for patient (β= -1.39; p< 0.001) and family member (β =-0.954; p< 0.001), and significant partner effects of depression on PCS for patient (β=-0.15, p< 0.05) and family member (β =-0.18; p< 0.01). There were significant actor effects of depression on MCS for patient (β =-1.2; p< 0.001) and family member (β=-1.2; p< 0.001), but depression had a significant partner effect on MCS only for patient (β = -0.08; p< 0.05). Among dyads participating in an ADRD screening trial, dyads with higher depression had lower QOL. Family member depression was associated with decreased family member and patient QOL.Item Combining non-probability and probability survey samples through mass imputation(Wiley, 2021-07) Kim, Jae Kwang; Park, Seho; Chen, Yilin; Wu, Changbao; Biostatistics, School of Public HealthAnalysis of non-probability survey samples requires auxiliary information at the population level. Such information may also be obtained from an existing probability survey sample from the same finite population. Mass imputation has been used in practice for combining non-probability and probability survey samples and making inferences on the parameters of interest using the information collected only in the non-probability sample for the study variables. Under the assumption that the conditional mean function from the non-probability sample can be transported to the probability sample, we establish the consistency of the mass imputation estimator and derive its asymptotic variance formula. Variance estimators are developed using either linearization or bootstrap. Finite sample performances of the mass imputation estimator are investigated through simulation studies. We also address important practical issues of the method through the analysis of a real-world non-probability survey sample collected by the Pew Research Centre.Item DEI-05. Assessing Household Material Hardship in Children with Central Nervous System (CNS) Tumors(Oxford University Press, 2024-06-18) Coven, Scott L.; Tran, Yvette H.; Park, Seho; Mendonça, Eneida A.; Pediatrics, School of MedicineBACKGROUND: Household material hardship (HMH) is defined as unmet basic needs including food, heat, housing, or transportation. Researchers have documented higher rates of poor nutrition, injury, infectious disease, and hospitalization in healthy children living in families with household material hardship. Furthermore, targeted interventions exist to modify these health outcomes. However, little is known regarding the relationship between social determinants of health and their impact on overall and quality of survival for children with brain or spinal cord tumors. The current available information is based upon retrospective and secondary data sources, often limited to basic socioeconomic factors such as race and ethnicity. The objective was to describe the change in household material hardship through patient reported outcome measures from baseline to six-months and explore the association between social determinants of health, including prospective household material hardship data, and clinical outcomes among children with brain and spinal cord tumors. METHODS: We aimed to enroll 150 patients with a brain or spinal cord tumors who were followed by the Pediatric Neuro-Oncology Program at Riley Hospital for Children at IU Health. These participants were approached during their routinely scheduled clinic visits by a member of the study team. Written or verbal consent/assent was obtained, and their data was transcribed into a REDCap™ database. RESULTS: To date, we have enrolled 118 children onto this study, with 35/76 participants completing their six-month follow-up survey. In line with Kira Bona’s previous work, we have found that around 30% acknowledged one positive domain of household material hardship. Additionally, we have found that almost 40% of our cohort fall below the 200% Federal Poverty Level, which is often considered a cutpoint for lower socioeconomic status. CONCLUSIONS: We have shown that collecting prospective patient reported sociodemographic information is feasible in a busy clinical setting.Item Emergency physician risk tolerance in acute heart failure is higher than previously thought and compatible with modern disposition decision instruments(Wiley, 2023) Harrison, Nicholas E.; Koester, Jami; Farmer, Annabelle; Hannon, Aidan; Jakupco, Nicholas; Nanagas, Jill; Park, Seho; Li, Xiaochun; Collins, Sean; Monahan, Patrick; Pang, Peter S.; Emergency Medicine, School of MedicineItem The Relationship Between COVID 19 Anxiety and Dementia Caregivers Burden and Suffering(Oxford University Press, 2021) Lucas, Kaitlyn; Batista-Malat, Eleanor; Park, Seho; Johns, Shelly; Fowler, Nicole; Judge, Katherine; Biostatistics, School of Public HealthThe impact of COVID-19 on dementia caregivers is gaining new interest. It is unknown how the pandemic has impacted caregivers’ burden and existential suffering. Analyses were performed on data for dementia caregivers (n=89) enrolled in the Indiana University Telephone Acceptance and Commitment Therapy for Caregivers (TACTICs) pilot trials. Individuals were primary caregivers of a family member with dementia and had clinically significant anxiety measured by a GAD-7 score >10 or between 5-9 with reported interference in life. COVID-19 anxiety was measured using the NIH CoRonavIruS Health Impact Survey (CRISIS) questions. Caregivers were on average 55.2 years of age with 56.2% being child or child-in-law, 71.9% were white and 24.7% were Black. Mean burden scores, measured by the Zarit Burden Index, were higher (44.29) compared to means reported across the literature (26.7) indicating the sample experienced higher than normal levels of burden. Mean existential suffering scores measured by the subscale of Experience of Suffering Scale were lower (9.37) compared to means across the literature (11.5) indicating that overall participants experienced lower levels of existential suffering compared to those in previous studies. A significant relationship was found between COVID-19 anxiety and burden levels (x2= 9.07, p<0.05), with higher levels of COVID-19 anxiety associated with greater burden. A non-significant relationship was found between COVID-19 anxiety and existential suffering (x2=5.99, p=0.11). Results highlight the impact of COVID-19 anxiety as an external stressor on dementia caregiving. and the importance of considering context of external stressors when implementing intervention protocols for caregivers of individuals with dementia.Item The Relationship Between Dementia Severity & Caregiver Preferences for Decision Making Role Regarding Mammography(Oxford University Press, 2021-12-17) Frank, Molly; Park, Seho; Lane, Kathleen; Torke, Alexia; Schonberg, Mara; Sachs, Greg; Schwartz, Peter; Fowler, Nicole; Biostatistics, School of Public HealthThe incidence of Alzheimer’s disease and related dementias (ADRD) and breast cancer increases with age. Despite being one of the most effective ways to diagnose breast cancer early, mammography in ADRD patients comes with an increased risk of treatment complications and false-positive results. Family caregivers are often involved in the decision-making process, and this study evaluates the relationship between dementia severity and caregiver preferences when making decisions about mammography with the patient alone, and with the patient and doctor. We included 181 caregivers from the Decisions about Cancer screening in Alzheimer’s Disease trial, which uses the Dementia Severity Rating Scale (DSRS) to assess dementia severity and a modified Control Preferences Scale (CPS) to assess each caregiver’s preferred decision-making approach. Multinomial logistic regression models evaluated the relationship between DSRS and CPS categories (active, passive, and collaborative), while controlling for the caregivers’ age, sex, race, education, and relationship to patient. Model 1 examined the caregivers’ preferred role with the patient, and it found a significant association between increased dementia severity and preference for a collaborative approach (p<0.001) or passive approach (p<0.05) compared to an active approach. Model 2 did not find a significant association between dementia severity and the caregivers’ preferred role when making decisions with the patient and doctor; however, those with increased age and education were more likely to prefer an active role. The association between dementia severity, caregiver characteristics, and decision-making preferences supports the need for approaches to support ADRD caregivers with medical decision making.Item Retention, Fasting Patterns, and Weight Loss With an Intermittent Fasting App: Large-Scale, 52-Week Observational Study(JMIR Publications, 2022-10-04) Torres, Luisa; Lee, Joy L.; Park, Seho; Di Lorenzo, R. Christian; Branam, Jonathan P.; Fraser, Shelagh A.; Salisbury, Benjamin A.; Health Policy and Management, School of Public HealthBackground: Intermittent fasting (IF) is an increasingly popular approach to dietary control that focuses on the timing of eating rather than the quantity and content of caloric intake. IF practitioners typically seek to improve their weight and other health factors. Millions of practitioners have turned to purpose-built mobile apps to help them track and adhere to their fasts and monitor changes in their weight and other biometrics. Objective: This study aimed to quantify user retention, fasting patterns, and weight loss by users of 2 IF mobile apps. We also sought to describe and model starting BMI, amount of fasting, frequency of weight tracking, and other demographics as correlates of retention and weight change. Methods: We assembled height, weight, fasting, and demographic data of adult users (ages 18-100 years) of the LIFE Fasting Tracker and LIFE Extend apps from 2018 to 2020. Retention for up to 52 weeks was quantified based on recorded fasts and correlated with user demographics. Users who provided height and at least 2 readings of weight and whose first fast and weight records were contemporaneous were included in the weight loss analysis. Fasting was quantified as extended fasting hours (EFH; hours beyond 12 in a fast) averaged per day (EFH per day). Retention was modeled using a Cox proportional hazards regression. Weight loss was analyzed using linear regression. Results: A total of 792,692 users were followed for retention based on 26 million recorded fasts. Of these, 132,775 (16.7%) users were retained at 13 weeks, 54,881 (6.9%) at 26 weeks, and 16,478 (2.1%) at 52 weeks, allowing 4 consecutive weeks of inactivity. The survival analysis using Cox regression indicated that retention was positively associated with age and exercise and negatively associated with stress and smoking. Weight loss in the qualifying cohort (n=161,346) was strongly correlated with starting BMI and EFH per day, which displayed a positive interaction. Users with a BMI ≥40 kg/m2 lost 13.9% of their starting weight by 52 weeks versus a slight weight gain on average for users with starting BMI <23 kg/m2. EFH per day was an approximately linear predictor of weight loss. By week 26, users lost over 1% of their starting weight per EFH per day on average. The regression analysis using all variables was highly predictive of weight change at 26 weeks (R2=0.334) with starting BMI and EFH per day as the most significant predictors. Conclusions: IF with LIFE mobile apps appears to be a sustainable approach to weight reduction in the overweight and obese population. Healthy weight and underweight individuals do not lose much weight on average, even with extensive fasting. Users who are obese lose substantial weight over time, with more weight loss in those who fast more.Item Social determinants of health and pediatric cancer survival: A systematic review(Wiley, 2022) Tran, Yvette H.; Coven, Scott L.; Park, Seho; Mendonca, Eneida A.; Pediatrics, School of MedicineDespite treatment advancements and improved survival, approximately 1800 children in the United States will die of cancer annually. Survival may depend on nonclinical factors, such as economic stability, neighborhood and built environment, health and health care, social and community context, and education, otherwise known as social determinants of health (SDoH). Extant literature reviews have linked socioeconomic status (SES) and race to disparate outcomes; however, these are not inclusive of all SDoH. Thus, we conducted a systematic review on associations between SDoH and survival in pediatric cancer patients. Of the 854 identified studies, 25 were included in this review. In addition to SES, poverty and insurance coverage were associated with survival. More studies that include other SDoH, such as social and community factors, utilize prospective designs, and conduct analyses with more precise SDoH measures are needed.Item The effect of missing levels of nesting in multilevel analysis(Korea Genome Organization, 2022) Park, Seho; Chung, Yujin; Biostatistics, School of Public HealthMultilevel analysis is an appropriate and powerful tool for analyzing hierarchical structure data widely applied from public health to genomic data. In practice, however, we may lose the information on multiple nesting levels in the multilevel analysis since data may fail to capture all levels of hierarchy, or the top or intermediate levels of hierarchy are ignored in the analysis. In this study, we consider a multilevel linear mixed effect model (LMM) with single imputation that can involve all data hierarchy levels in the presence of missing top or intermediate-level clusters. We evaluate and compare the performance of a multilevel LMM with single imputation with other models ignoring the data hierarchy or missing intermediate-level clusters. To this end, we applied a multilevel LMM with single imputation and other models to hierarchically structured cohort data with some intermediate levels missing and to simulated data with various cluster sizes and missing rates of intermediate-level clusters. A thorough simulation study demonstrated that an LMM with single imputation estimates fixed coefficients and variance components of a multilevel model more accurately than other models ignoring data hierarchy or missing clusters in terms of mean squared error and coverage probability. In particular, when models ignoring data hierarchy or missing clusters were applied, the variance components of random effects were overestimated. We observed similar results from the analysis of hierarchically structured cohort data.Item The Impact of the COVID-19 Pandemic on the Mental Health of Older Primary Care Patients and Their Family Members(Hindawi, 2022-10-15) Seibert, Tara; Schroeder, Matthew W.; Perkins, Anthony J.; Park, Seho; Batista-Malat, Eleanor; Head, Katharine J.; Bakas, Tamilyn; Boustani, Malaz; Fowler, Nicole R.; Medicine, School of MedicineThe COVID-19 pandemic introduced mandatory stay-at-home orders and concerns about contracting a virus that impacted the physical and mental health of much of the world's population. This study compared the rates of depression and anxiety in a sample of older primary care patients (aged ≥65 years old) and their family members recruited for a clinical trial before and during the COVID-19 pandemic. Participants were dyads enrolled in the Caregiver Outcomes of Alzheimer's Disease Screening (COADS) trial, which included 1,809 dyads of older primary care patients and one of their family members. Mean scores on the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder Scale-7 (GAD-7) were measured and compared before and during the pandemic. We found no difference in depression and anxiety among dyads of older primary care patients and their family members recruited before and during COVID-19. Additionally, we found that older primary care patients and family members who reported their income as comfortable had significantly lower depression and anxiety compared to those who reported having not enough to make ends meet. Along with this, older primary care patients with a high school education or less were more likely to have anxiety compared to those with a postgraduate degree. Moreover, our findings support the notion that certain demographics of older primary care patients and family members are at a higher risk for depression and anxiety, indicating who should be targeted for psychological health interventions that can be adapted during COVID-19. Future research should continue monitoring older primary care patients and their family members through the remainder of the COVID-19 pandemic.