Work Description

Title: Investigating gender differences in the Co-occurrence of PTSD and food addiction Open Access Deposited

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Methodology
  • The data set supports a study investigating co-occurring PTSD, problematic substance use, obesity, and food addiction in a community sample with results stratified by gender. Participants (n=318) were recruited from Amazon Mechanical Turk for a study on how past experiences impact health behaviors. Data were reviewed for quality assurance and 29 participants were excluded due to failure to meet quality control criteria (failed multiple check questions, completion in <10 minute, etc.). We also excluded any participants who did not indicate a gender identity (n=3), who indicated a non-binary gender identity (n=1), or who were missing data on primary variables of interest (i.e., PTSD, food addiction n=35) from all analyses. No participants identified as transgender. This resulted in a final sample of 318 participants included in analyses. Participants had the option to select “prefer not to answer” due to the sensitive nature of some questions (e.g., substance use) and this resulted in some missing data (n=1 to n=18). Improbable BMI values were also excluded from analyses (BMI<15 or>50, n=17). All other data were retained for participants with improbable BMI values. This resulted in a total of n=35 missing data for BMI after accounting for both missing data and data excluded for improbable values.
Description
  • The study investigates co-occurring PTSD and food addiction in a community sample with results stratified by gender. Data for co-occurring problematic substance use and obesity are also included to allow for within-sample comparison. Participants were asked to complete self-report measures on post-traumatic stress disorder (PTSD), food addiction, problematic substance use (alcohol, cannabis, smoking, and nicotine vaping), and BMI. Participants also completed demographic questions. Pearson zero-order correlation analyses were conducted between primary variables of interest and demographic variables to identify potential sociodemographic covariates. Subjective socioeconomic status (SES) and age were both included as covariates in the current model. We estimated unadjusted and adjusted risk ratios among food addiction, PTSD, problematic substance use (i.e., alcohol, cannabis, smoking, and nicotine vaping) and obesity using Modified Poisson regression with robust standard error estimations. We ran these analyses for the whole same and stratified by gender identity. Food addiction co-occurred with PTSD at comparable or stronger rates than other types of problematic substance use (alcohol, cannabis, smoking, nicotine vaping). Results suggested that this risk may be particularly high for men compared to women. It may be important to assess for food addiction in those with PTSD to assist in identifying high-risk groups.
Creator
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  • lindzeyh@umich.edu
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Last modified
  • 06/13/2023
Published
  • 06/13/2023
DOI
  • https://doi.org/10.7302/vq8f-kg50
License
To Cite this Work:
Hoover, L. V. (2023). Investigating gender differences in the Co-occurrence of PTSD and food addiction [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/vq8f-kg50

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Files (Count: 4; Size: 256 KB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
ReadMe_DeepBlue_PTSDandFA_5.26.23.docx 2023-05-26 2023-05-26 190 KB Open Access
Deep_Blue_PTSD_Paper.sps 2023-05-26 2023-05-26 18 KB Open Access
Deep_Blue_PTSD_Paper_Dataset.sav 2023-05-26 2023-05-26 22 KB Open Access
Deep_Blue_PTSD_Paper.csv 2023-05-26 2023-05-26 26.8 KB Open Access

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