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性犯罪者登记册上的人生活在哪些类型的社区?对十个州的分析。

In what kinds of communities do people on the sex offender registry live? An analysis of ten states.

作者信息

Drake Brett, Sohn Yejin, Morrison Maria, Jonson-Reid Melissa

机构信息

Brown School of Social Work and Public Health, Washington University in St. Louis, United States.

Ohio University, United States.

出版信息

Child Youth Serv Rev. 2021 Aug;127. doi: 10.1016/j.childyouth.2021.106061. Epub 2021 May 12.

DOI:10.1016/j.childyouth.2021.106061
PMID:36968630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10038390/
Abstract

This is the first large scale community-level study describing the characteristics of communities where Registered Sex Offenders (RSO's) are more likely to live. This study presents RSO residence data from ten states, combined with census data. Zip code characteristics (e.g., income, race/ethnicity, percent of population under 18) were then used in bivariate analyses and negative binomial regression analyses to determine which community factors predicted RSO residency. Lower median household income predicted higher rates of RSO's in nine of the ten states. These effects were large, with the rate of RSO's dropping about two percentage points per $1000 in increased median household income. Other community characteristics were found to have smaller effects on a state by state basis.

摘要

这是第一项大规模的社区层面研究,描述了登记性犯罪者(RSO)更有可能居住的社区特征。本研究呈现了来自十个州的RSO居住数据,并结合了人口普查数据。然后,邮政编码特征(如收入、种族/族裔、18岁以下人口百分比)被用于双变量分析和负二项回归分析,以确定哪些社区因素可预测RSO的居住情况。在十个州中的九个州,家庭收入中位数较低预示着RSO的比例较高。这些影响很大,家庭收入中位数每增加1000美元,RSO的比例就会下降约两个百分点。在逐个州的基础上,发现其他社区特征的影响较小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/10038390/931de5c39ffe/nihms-1836520-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/10038390/931de5c39ffe/nihms-1836520-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d0f/10038390/931de5c39ffe/nihms-1836520-f0001.jpg

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