16 results on '"Rezvan, Panteha Hayati"'
Search Results
2. Sex-specific impulsivity, but not other facets of executive function, predicts fat and sugar intake two-years later amongst adolescents with a healthy weight: Findings from the ABCD study
- Author
-
Adise, Shana, Boutelle, Kerri N., Rezvan, Panteha Hayati, Kan, Eric, Rhee, Kyung E., Goran, Michael I., and Sowell, Elizabeth R.
- Published
- 2024
- Full Text
- View/download PDF
3. Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149
- Author
-
Comulada, W. Scott, Rotheram-Borus, Mary Jane, Arnold, Elizabeth Mayfield, Norwood, Peter, Lee, Sung-Jae, Ocasio, Manuel A., Flynn, Risa, Nielsen-Saines, Karin, Bolan, Robert, Klausner, Jeffrey D., Swendeman, Dallas, Abdalian, Sue Ellen, Bryson, Yvonne, Cortado, Ruth, Fernandez, M. Isabel, Kerin, Tara, Lightfoot, Marguerita, Milburn, Norweeta, Ramos, Wilson, Reback, Cathy, Tang, Wenze, Rezvan, Panteha Hayati, and Weiss, Robert E.
- Published
- 2023
- Full Text
- View/download PDF
4. Bedside Intestinal Ultrasound Predicts Disease Severity and the Disease Distribution of Pediatric Patients With Inflammatory Bowel Disease: A Pilot Cross-sectional Study.
- Author
-
Chavannes, Mallory, Hart, Lara, Rezvan, Panteha Hayati, Dillman, Jonathan R, and Polk, D Brent
- Published
- 2024
- Full Text
- View/download PDF
5. Community health workers impact on maternal and child health outcomes in rural South Africa – a non-randomized two-group comparison study
- Author
-
le Roux, Karl W., Almirol, Ellen, Rezvan, Panteha Hayati, le Roux, Ingrid M., Mbewu, Nokwanele, Dippenaar, Elaine, Stansert-Katzen, Linnea, Baker, Venetia, Tomlinson, Mark, and Rotheram-Borus, M. J.
- Published
- 2020
- Full Text
- View/download PDF
6. Alcohol Misuse Among Youth Living With and at High Risk for Acquiring HIV During the COVID-19 Stay-at-Home Orders: A Study in Los Angeles and New Orleans.
- Author
-
Rezai, Roxana, Rezvan, Panteha Hayati, Comulada, Warren Scott, Lee, Sung-Jae, Ocasio, Manuel A, Swendeman, Dallas, Fernández, Maria Isabel, and Team, the Adolescent Trials Network (ATN) CARES
- Subjects
- *
HIV infections , *ALCOHOLISM , *RESEARCH funding , *STAY-at-home orders , *COVID-19 pandemic , *CISGENDER people , *ADOLESCENCE - Abstract
Background To slow the spread of the COVID-19 virus, governments across the globe instituted stay-at-home orders leading to increased stress and social isolation. Not surprisingly, alcohol sales increased during this period. While most studies primarily focused on alcohol consumption among college students or adults, this study investigates alcohol misuse among marginalized youth in the USA. We examined risk factors associated with hazardous alcohol use and binge drinking including risk behaviors, life stressors and demographic characteristics. Methods In October 2020, youth living with or at high risk for acquiring human immunodeficiency virus (HIV), participating in community-based research to improve HIV prevention and care, were invited to complete an online survey to assess the impact of the stay-at-home orders on multiple aspects of their daily life. Results Respondents (n = 478) were on average 23 years old; cisgender (84%), not-heterosexual (86.6%), Latino or Black/African American (73%) and assigned male at birth (83%); 52% reported being employed and 14% reported living with HIV. White participants and those who use drugs had higher odds of hazardous alcohol use and binge drinking, compared with other race categories and non-drug users, respectively. Conclusion Contrary to findings from adult studies, we did not observe an increase in hazardous or binge drinking among youth at risk for HIV. Hazardous alcohol use and binge drinking was more likely among White participants, those who use drugs and those who were hazardous/binge drinkers prior to the COVID-19 lockdown, which points to the importance of identifying and treating youth who misuse alcohol early to prevent future alcohol misuse. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
7. How to Apply Variable Selection Machine Learning Algorithms With Multiply Imputed Data: A Missing Discussion.
- Author
-
Gunn, Heather J., Rezvan, Panteha Hayati, Fernández, M. Isabel, and Comulada, W. Scott
- Abstract
Psychological researchers often use standard linear regression to identify relevant predictors of an outcome of interest, but challenges emerge with incomplete data and growing numbers of candidate predictors. Regularization methods like the LASSO can reduce the risk of overfitting, increase model interpretability, and improve prediction in future samples; however, handling missing data when using regularization-based variable selection methods is complicated. Using listwise deletion or an ad hoc imputation strategy to deal with missing data when using regularization methods can lead to loss of precision, substantial bias, and a reduction in predictive ability. In this tutorial, we describe three approaches for fitting a LASSO when using multiple imputation to handle missing data and illustrate how to implement these approaches in practice with an applied example. We discuss implications of each approach and describe additional research that would help solidify recommendations for best practices. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
8. Socioeconomic Disadvantage and Youth Mental Health During the COVID-19 Pandemic Lockdown.
- Author
-
Adise, Shana, West, Amy E., Rezvan, Panteha Hayati, Marshall, Andrew T., Betts, Samantha, Kan, Eric, and Sowell, Elizabeth R.
- Published
- 2024
- Full Text
- View/download PDF
9. Maternal Patterns of Antenatal and Postnatal Depressed Mood and the Impact on Child Health at Three Years Postpartum
- Author
-
Rotheram-Fuller, Erin J., Tomlinson, Mark, Scheffler, Aaron, Weichle, Thomas W., Rezvan, Panteha Hayati, Comulada, Warren Scott, and Rotheram-Borus, Mary Jane
- Subjects
Adult ,Male ,Depression ,Postpartum Period ,Child Health ,Infant ,Mothers ,Article ,Mother-Child Relations ,Depression, Postpartum ,Pregnancy Complications ,South Africa ,Pregnancy ,Child, Preschool ,Prenatal Exposure Delayed Effects ,Humans ,Female ,Poverty - Abstract
OBJECTIVE: The consequences of maternal depressed mood on children’s growth, health, cognitive and language development are examined over the first three years of life. METHOD: Pregnant women in 24 peri-urban township neighborhoods in Cape Town, South Africa (N=1,238 mothers) were randomized by neighborhood to a home visiting intervention or a standard care condition. Reassessments were conducted for 93%-85% of mothers at two weeks, 6, 18, and 36 months post-birth. Regressions were conducted on measures of children’s growth, behaviour, language, and cognition to examine the impact of four patterns of depressed mood: antenatal only (n=154, 13.8%), postnatal only (n=272, 24.3%), antenatal and postnatal (n=220, 19.7%), and no depressed mood on any assessment (n=473, 42.3%). RESULTS: Patterns of depressed mood were similar across intervention conditions. Depressed mothers were significantly less educated, had lower incomes, were less likely to be employed or to have electricity; were more likely to report problematic drinking of alcohol, experience food insecurity, interpersonal partner violence, and to be HIV seropositive. At 36 months, the pattern of maternal depressed mood over time was significantly associated with children’s compromised physical growth, both in weight and height, and more internalizing and externalizing symptoms of behaviour problems. Measures of language and cognition were similar across maternal patterns of depressed mood. CONCLUSIONS: Mothers who report depressed mood face significantly more life challenges, both environmental stressors related to poverty and other problematic behaviors. More proximal, postnatal depressed mood appears to have a larger influence on their children, compared to antenatal depressed mood.
- Published
- 2018
10. Sensitivity analysis within multiple imputation framework using delta-adjustment: Application to Longitudinal Study of Australian Children.
- Author
-
Rezvan, Panteha Hayati, Lee, Katherine J., and Simpson, Julie A.
- Subjects
MISSING data (Statistics) ,REGRESSION analysis - Abstract
Multiple imputation (MI) is a powerful statistical method for handling missing data. Standard implementations of MI are valid under the unverifiable assumption of missing at random (MAR), which is often implausible in practice. The delta-adjustment method, implemented within the MI framework, can be used to perform sensitivity analyses that assess the impact of departures from the MAR assumption on the final inference. This method requires specification of unknown sensitivity parameter(s) (termed as delta(s)). We illustrate the application of the delta-adjustment method using data from the Longitudinal Study of Australian Children, where the epidemiological question is to estimate the association between exposure to maternal emotional distress at age 4.5 years and total (social, emotional, and behavioural) difficulties at age 8.9 years. We elicited the sensitivity parameters for the outcome (Y) and exposure (X) variables from a panel of experts. The elicited quantile judgements from each expert were converted into a suitable parametric probability distribution and combined using the linear pooling method. We then applied MI under MAR followed by sensitivity analyses under missing not at random (MNAR) using the delta-adjustment method. We present results from sensitivity analyses that used different percentile values of the pooled distributions for the delta parameters for Y and X, and demonstrate that twofold increases in the magnitude of the association between maternal distress and total difficulties are only observed for large departures from MAR. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
11. Maternal Patterns of Antenatal and Postnatal Depressed Mood and the Impact on Child Health at 3-Years Postpartum.
- Author
-
Rotheram-Fuller, Erin J., Tomlinson, Mark, Scheffler, Aaron, Weichle, Thomas W., Rezvan, Panteha Hayati, Comulada, Warren Scott, and Rotheram-Borus, Mary Jane
- Subjects
POSTPARTUM depression ,PRENATAL care - Abstract
Objective: The consequences of maternal depressed mood on children's growth, health, and cognitive and language development are examined over the first 3 years of life. Method: Pregnant women in 24 periurban township neighborhoods in Cape Town, South Africa (N = 1,238 mothers) were randomized by neighborhood to a home visiting intervention or a standard care condition. Reassessments were conducted for 93%-85% of mothers at 2-weeks, 6-, 18-, and 36-months postbirth. Regressions were conducted on measures of children's growth, behavior, language, and cognition to examine the impact of four patterns of depressed mood: antenatal only (n = 154, 13.8%), postnatal only (n = 272, 24.3%), antenatal and postnatal (n = 220, 19.7%), and no depressed mood on any assessment (n = 473, 42.3%). Results: Patterns of depressed mood were similar across intervention conditions. Depressed mothers were significantly less educated, had lower incomes, were less likely to be employed or to have electricity; were more likely to report problematic drinking of alcohol, experience food insecurity, interpersonal partner violence, and to be HIV seropositive. At 36 months, the pattern of maternal depressed mood over time was significantly associated with children's compromised physical growth, both in weight and height, and more internalizing and externalizing symptoms of behavior problems. Measures of language and cognition were similar across maternal patterns of depressed mood. Conclusions: Mothers who report depressed mood face significantly more life challenges, both environmental stressors related to poverty and other problematic behaviors. More proximal, postnatal depressed mood appears to have a larger influence on their children, compared with antenatal depressed mood. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
12. Clinical and functional differences between early-onset and late-onset adult asthma: a population-based Tasmanian Longitudinal Health Study.
- Author
-
Tan, Daniel J., Walters, E. Haydn, Perret, Jennifer L., Burgess, John A., Johns, David P., Lowe, Adrian J., Lodge, Caroline J., Rezvan, Panteha Hayati, Simpson, Julie A., Morrison, Stephen, Thompson, Bruce R., Thomas, Paul S., Feather, Iain, Giles, Graham G., Hopper, John L., Abramson, Michael J., Matheson, Melanie C., Dharmage, Shyamali C., and Hayati Rezvan, Panteha
- Subjects
ASTHMA ,SPIROMETRY ,ATOPY ,PHYSIOLOGICAL effects of tobacco ,DISEASES in adults - Abstract
Background: Differences between early-onset and late-onset adult asthma have not been comprehensively described using prospective data.Aims: To characterise the differences between early-onset and late-onset asthma in a longitudinal cohort study.Methods: The Tasmanian Longitudinal Health Study (TAHS) is a population-based cohort. Respiratory histories and spirometry were first performed in 1968 when participants were aged 7 (n=8583). The cohort was traced and resurveyed from 2002 to 2005 (n=5729 responses) and a sample, enriched for asthma and bronchitis participated in a clinical study when aged 44 (n=1389).Results: Of the entire TAHS cohort, 7.7% (95% CI 6.6% to 9.0%) had early-onset and 7.8% (95% CI 6.4% to 9.4%) late-onset asthma. Atopy and family history were more common in early-onset asthma while female gender, current smoking and low socioeconomic status were more common in late-onset asthma. The impact on lung function of early-onset asthma was significantly greater than for late-onset asthma (mean difference prebronchodilator (BD) FEV1/FVC -2.8% predicted (-5.3 to -0.3); post-BD FEV1FVC -2.6% predicted (-5.0 to -0.1)). However, asthma severity and asthma score did not significantly differ between groups. An interaction between asthma and smoking was identified and found to be associated with greater fixed airflow obstruction in adults with late-onset asthma. This interaction was not evident in adults with early-onset disease.Conclusions: Early-onset and late-onset adult asthma are equally prevalent in the middle-aged population. Major phenotypic differences occur with asthma age-of-onset; while both share similar clinical manifestations, the impact on adult lung function of early-onset asthma is greater than for late-onset asthma. [ABSTRACT FROM AUTHOR]- Published
- 2016
- Full Text
- View/download PDF
13. Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation.
- Author
-
Rezvan, Panteha Hayati, White, Ian R., Lee, Katherine J., Carlin, John B., Simpson, Julie A., and Hayati Rezvan, Panteha
- Subjects
- *
ALGORITHMS , *COMPUTER simulation , *REGRESSION analysis , *RESEARCH funding , *STATISTICS , *DATA analysis , *STATISTICAL models - Abstract
Background: Multiple imputation (MI) is a well-recognised statistical technique for handling missing data. As usually implemented in standard statistical software, MI assumes that data are 'Missing at random' (MAR); an assumption that in many settings is implausible. It is not possible to distinguish whether data are MAR or 'Missing not at random' (MNAR) using the observed data, so it is desirable to discover the impact of departures from the MAR assumption on the MI results by conducting sensitivity analyses. A weighting approach based on a selection model has been proposed for performing MNAR analyses to assess the robustness of results obtained under standard MI to departures from MAR.Methods: In this article, we use simulation to evaluate the weighting approach as a method for exploring possible departures from MAR, with missingness in a single variable, where the parameters of interest are the marginal mean (and probability) of a partially observed outcome variable and a measure of association between the outcome and a fully observed exposure. The simulation studies compare the weighting-based MNAR estimates for various numbers of imputations in small and large samples, for moderate to large magnitudes of departure from MAR, where the degree of departure from MAR was assumed known. Further, we evaluated a proposed graphical method, which uses the dataset with missing data, for obtaining a plausible range of values for the parameter that quantifies the magnitude of departure from MAR.Results: Our simulation studies confirm that the weighting approach outperformed the MAR approach, but it still suffered from bias. In particular, our findings demonstrate that the weighting approach provides biased parameter estimates, even when a large number of imputations is performed. In the examples presented, the graphical approach for selecting a range of values for the possible departures from MAR did not capture the true parameter value of departure used in generating the data.Conclusions: Overall, the weighting approach is not recommended for sensitivity analyses following MI, and further research is required to develop more appropriate methods to perform such sensitivity analyses. [ABSTRACT FROM AUTHOR]- Published
- 2015
- Full Text
- View/download PDF
14. The rise of multiple imputation: a review of the reporting and implementation of the method in medical research.
- Author
-
Rezvan, Panteha Hayati, Lee, Katherine J., and Simpson, Julie A.
- Subjects
- *
MEDICAL research , *AMPUTATION , *SENSITIVITY analysis , *EQUATIONS , *MULTIVARIATE analysis - Abstract
Background: Missing data are common in medical research, which can lead to a loss in statistical power and potentially biased results if not handled appropriately. Multiple imputation (MI) is a statistical method, widely adopted in practice, for dealing with missing data. Many academic journals now emphasise the importance of reporting information regarding missing data and proposed guidelines for documenting the application of MI have been published. This review evaluated the reporting of missing data, the application of MI including the details provided regarding the imputation model, and the frequency of sensitivity analyses within the MI framework in medical research articles. Methods: A systematic review of articles published in the Lancet and New England Journal of Medicine between January 2008 and December 2013 in which MI was implemented was carried out. Results: We identified 103 papers that used MI, with the number of papers increasing from 11 in 2008 to 26 in 2013. Nearly half of the papers specified the proportion of complete cases or the proportion with missing data by each variable. In the majority of the articles (86%) the imputed variables were specified. Of the 38 papers (37%) that stated the method of imputation, 20 used chained equations, 8 used multivariate normal imputation, and 10 used alternative methods. Very few articles (9%) detailed how they handled non-normally distributed variables during imputation. Thirty-nine papers (38%) stated the variables included in the imputation model. Less than half of the papers (46%) reported the number of imputations, and only two papers compared the distribution of imputed and observed data. Sixty-six papers presented the results from MI as a secondary analysis. Only three articles carried out a sensitivity analysis following MI to assess departures from the missing at random assumption, with details of the sensitivity analyses only provided by one article. Conclusions: This review outlined deficiencies in the documenting of missing data and the details provided about imputation. Furthermore, only a few articles performed sensitivity analyses following MI even though this is strongly recommended in guidelines. Authors are encouraged to follow the available guidelines and provide information on missing data and the imputation process. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
15. Dual Option Microtia Clinic: A Comparison of Outcomes in Microtia Reconstruction Using Autologous Rib or Porous Polyethylene Implant.
- Author
-
Kulich M, Patel VA, Rezvan PH, Osterbauer B, Kochhar A, and Gomez G
- Subjects
- Humans, Male, Child, Child, Preschool, Adolescent, Female, Polyethylene, Retrospective Studies, Porosity, Ribs surgery, Plastic Surgery Procedures, Congenital Microtia surgery
- Abstract
Introduction: Auricular reconstruction techniques most frequently utilize either autologous costal cartilage or alloplastic porous polyethylene (PPE) implant. Objectives: To compare the aesthetic outcomes, number of surgeries, and complications in children who underwent microtia reconstruction with either rib or PPE implant by blinded photograph review. Methods: This retrospective cohort study included consecutive pediatric patients who underwent auricular reconstruction with either autologous cartilage or PPE between November 2017 and February 2022. Blinded observers rated each postoperative ear through a web-based survey. Data on patient characteristics, operative time, length of admission, and complications were collected, bivariate analyses were performed using chi-square or Fisher's exact tests for categorical variables and Wilcoxon rank-sum test for continuous variables. Results: Forty-four ears were included, 28 of which (63.6%) were reconstructed with cartilage. Median patient age was 8 years (range 4-18 years) and 29 (65.9%) were male. The cartilage group had more surgeries (median 2.5 vs. 1.0, p < 0.001), and total operating time across all surgeries did not differ significantly. Conclusion: The two groups in our study had similar rates of complications and aesthetic scores, and aesthetic scores were worse for ears with wound complications requiring unplanned revisions.
- Published
- 2023
- Full Text
- View/download PDF
16. Assessing Alternative Imputation Strategies for Infrequently Missing Items on Multi-item Scales.
- Author
-
Rezvan PH, Comulada WS, Fernández MI, and Belin TR
- Abstract
Health-science researchers often measure psychological constructs using multi-item scales and encounter missing items on some participants. Multiple imputation (MI) has emerged as an alternative to ad-hoc methods (e.g., mean substitution) for handling incomplete data on multi-item scales, appealingly reflecting available information while accounting for uncertainty due to missing values in a unified inferential framework. However, MI can be implemented in a variety of ways. When the number of variables to impute gets large, some strategies yield unstable estimates of quantities of interest while others are not technically feasible to implement. These considerations raise pragmatic questions about the extent to which ad-hoc procedures would yield statistical properties that are competitive with theoretically motivated methods. Drawing on an HIV study where depression and anxiety symptoms are measured with multi-item scales, this empirical investigation contrasts ad-hoc methods for handling missing items with various MI implementations that differ as to whether imputation is at the item-level or scale-level and how auxiliary variables are incorporated. While the findings are consistent with previous reports favoring item-level imputation when feasible to implement, we found only subtle differences in statistical properties across procedures, suggesting that weaknesses of ad-hoc procedures may be muted when missing data percentages are modest., Competing Interests: Conflict of interest disclosures: The authors have declared that they have no competing or potential conflicts of interest in relation to the work described. Declarations of interest: None
- Published
- 2022
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.