Health and health promotion and applied health psychology in sexual and stigmatized minority populations : a collection of papers and a monograph presented in application for the degree of Doctor of Science at Massey University

This Doctor of Science comprises a number of published works, listed in the attached file. As such due to copyright restriction they are not included here but can be accessed individually from the publisher. The author's Curriculum Vitae has been redacted from the attached file for privacy reasons.In a career lifetime of working in both universities and in and with health departments, my work in applied psychology has dealt with stigmatized sexual minorities (particularly MSM) in many countries and settings, including before, during, and after the main impact of the AIDS epidemic (which in many locations and populations is still epidemic or in a subsequent “wave”). Applied health psychology must of necessity make use of many opportunities that cannot be planned in advance, or of situations where study of stigmatized groups is both dangerous (for them and for researchers) and difficult. The unifying theme in this DSc is the stigmatized minority group, the stigmatized disease, and the stigmatized setting. Massey University provided the training for the first “bookend” of my career at its beginning, and this dissertation as the second “bookend” some 45 years later of a career of surprises, opportunities, and challenges – some of the better parts of which are reflected in these pages

A network analysis of relationship dynamics in sexual dyads as correlates of HIV risk misperceptions among high-risk MSM

Objectives Relationship dynamics influence the perception of HIV risk in sexual dyads. The objective of this study was to examine the effect of relational dynamics on knowledge or perception of a partner\u27s HIV status in a sample of most at-risk men who have sex with men (MSM): drug-using male sex workers. The study identified relationship dimensions and examined their association with misperceptions about a particular partner\u27s HIV status. Methods The analytical sample for the study consisted of 168 sexual partnerships of 116 male sex workers and their associates. Exploratory factor analysis was conducted to identify dimensions of the interpersonal relationships in sexual partnerships that were then regressed on ?risky misperceptions? (misperceiving HIV negative when partner\u27s self-report was positive or unknown). Results Six relationship dimensions of intimate, commitment, socialising, financial, trust and honesty were extracted. Commitment was found to be protective against misperception (adjusted OR (AOR)=0.45), while trust was not (AOR=2.78). Other factors also were found to be associated with misperception. HIV-negative MSM (AOR=7.69) and partners who were both self-identified as gay (AOR=3.57) were associated with misperception, while encounters identified as sex work (AOR=0.29), in which both partners were Caucasian (AOR=0.16), and involved with an older partner (AOR=0.90) were protective. Conclusions Couple-based HIV intervention efforts among MSM should consider that less trust and more commitment are protective factors in sexual partnerships

Streetplan: Hacking Streetmix for community-based outreach on the future of streets

Riggs, Boswell and Ross describe their pilot street design project deploying Streetplan, a version of the opensource tool Streetmix. As part of the City of San Luis Obispo downtown revisioning project, their efforts inform the process, currently underway, of revising the Downtown Vision Concept Plan. The project was presented at the 2016 Code for America Summit

Transport of Mars-Crossing Asteroids from the Quasi-Hilda Region

We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3:2 Hilda resonance into the realm of orbits crossing Mars' orbit are computed. In contrast to common numerical approaches, our technique does not depend on single long term simulations of the underlying model. Thus, our statistical results are particularly reliable since they are not affected by a dynamical behavior which is almost nonergodic (i.e., dominated by strongly almost invariant sets)