M

Mitchell H. Katz

New York City Health and Hospitals Corporation

Publishes on HIV/AIDS Research and Interventions, Primary Care and Health Outcomes, HIV, Drug Use, Sexual Risk. 474 papers and 15.2k citations.

474Publications
15.2kTotal Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

Attempted Suicide Among Transgender Persons
Kristen Clements‐Nolle, Rani Marx, Mitchell H. Katz|Journal of Homosexuality|2006
Cited by 971

To determine the independent predictors of attempted suicide among transgender persons we interviewed 392 male-to-female (MTF) and 123 female-to-male (FTM) individuals. Participants were recruited through targeted sampling, respondent-driven sampling, and agency referrals in San Francisco. The prevalence of attempted suicide was 32% (95% CI = 28% to 36%). In multivariate logistic regression analysis younger age (<25 years), depression, a history of substance abuse treatment, a history of forced sex, gender-based discrimination, and gender-based victimization were independently associated with attempted suicide. Suicide prevention interventions for transgender persons are urgently needed, particularly for young people. Medical, mental health, and social service providers should address depression, substance abuse, and forced sex in an attempt to reduce suicidal behaviors among transgender persons. In addition, increasing societal acceptance of the transgender community and decreasing gender-based prejudice may help prevent suicide in this highly stigmatized population.

HIV prevalence, risk behaviors, health care use, and mental health status of transgender persons: implications for public health intervention
Kristen Clements‐Nolle, Rani Marx, Robert Guzman et al.|American Journal of Public Health|2001
Cited by 779Open Access

OBJECTIVES: This study described HIV prevalence, risk behaviors, health care use, and mental health status of male-to-female and female-to-male transgender persons and determined factors associated with HIV. METHODS: We recruited transgender persons through targeted sampling, respondent-driven sampling, and agency referrals; 392 male-to-female and 123 female-to-male transgender persons were interviewed and tested for HIV. RESULTS: HIV prevalence among male-to-female transgender persons was 35%. African American race (adjusted odds ratio [OR] = 5.81; 95% confidence interval [CI] = 2.82, 11.96), a history of injection drug use (OR = 2.69; 95% CI = 1.56, 4.62), multiple sex partners (adjusted OR = 2.64; 95% CI = 1.50, 4.62), and low education (adjusted OR = 2.08; 95% CI = 1.17, 3.68) were independently associated with HIV. Among female-to-male transgender persons, HIV prevalence (2%) and risk behaviors were much lower. Most male-to-female (78%) and female-to-male (83%) transgender persons had seen a medical provider in the past 6 months. Sixty-two percent of the male-to-female and 55% of the female-to-male transgender persons were depressed; 32% of each population had attempted suicide. CONCLUSIONS: High HIV prevalence suggests an urgent need for risk reduction interventions for male-to-female transgender persons. Recent contact with medical providers was observed, suggesting that medical providers could provide an important link to needed prevention, health, and social services.

Racial and Ethnic Health Disparities Related to COVID-19
Cited by 715

Racial and Ethnic Health Disparities Related to COVID-19 One of the most disturbing aspects of the coronavirus disease 2019 (COVID-19) pandemic in the US is the disproportionate harm that it has caused to historically marginalized groups.Black, Hispanic, and Asian people have substantially higher rates of infection, hospitalization, and death compared with White people. 1,2According to an analysis by the Kaiser Family Foundation and the Epic Health Research Network, based on data from the Epic health record system for 7 million Black patients, 5.1 million Hispanic patients, 1.4 million Asian patients, and 34.1 million White patients, as of July 20, 2020, the hospitalization rates and death rates per 10 000, respectively, were 24.6 and 5.6 for Black patients, 30.4 and 5.6 for Hispanic patients, 15.9 and 4.3 for Asian patients, and 7.4 and 2.3 for White patients. 2American Indian persons living in the US also have been disproportionately affected by

Multivariable Analysis: A Practical Guide for Clinicians
Mitchell H. Katz|Unknown|1999
Cited by 481

This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It is the perfect introduction for all clinical researchers. It focuses on the nuts and bolts of performing research and prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research

Multivariable Analysis: A Primer for Readers of Medical Research
Mitchell H. Katz|Annals of Internal Medicine|2003
Cited by 400

Many clinical readers, especially those uncomfortable with mathematics, treat published multivariable models as a black box, accepting the author's explanation of the results. However, multivariable analysis can be understood without undue concern for the underlying mathematics. This paper reviews the basics of multivariable analysis, including what multivariable models are, why they are used, what types exist, what assumptions underlie them, how they should be interpreted, and how they can be evaluated. A deeper understanding of multivariable models enables readers to decide for themselves how much weight to give to the results of published analyses.