Abstract Introduction According to the Occupational Cancer Convention, 1974 (No.139), each member state shall make efforts to reduce the carcinogenic agents at their workplace. In 2012, the Australian Work Exposures Study estimated that 3.6 million workers (40%) of the working population, were likely exposed to carcinogens in the workplace. In 2013, the Global Burden of Disease Study estimated that there were 314,000 occupational cancer deaths worldwide. Materials and Methods The literature review showed that the most recent and comprehensive analysis of workers being exposed to carcinogens in New Zealand was the “New Zealand Carcinogens Survey 2021” which used the Occupational Integrated Database Exposure Assessment System. It covered 50 carcinogens from Group One and Group 2A (IARC criteria). The methods included cognitive testing, fieldwork, and exposure assessment. Data of 4,500 workers was gathered from January to December 2021. It was then stratified and weighted based on the New Zealand population. In addition, previous reports prepared by the task forces and the Ministry of Labour were reviewed. Results The most common workplace carcinogens were benzene, solar UV, shift work, wood dust, and diesel engine exhaust. More than half of the workforce was probably exposed to at least a single carcinogen at some stage of their work life. Approximately 1/4 of them are likely exposed to up to five carcinogens. Mining was identified to be the most hazardous industry. Conclusions Industries that are likely to cause exposure to multiple carcinogens need to improve workplace practices, implement better controls, and provide awareness to the workers.

Military personnel may be exposed to a range of hazards. The assessment, documentation and reporting of military exposure information are important steps to guide health protection, services, and research to support actively serving members and veterans. In 2021, a Working Group of researchers from veteran and defense administrations across the Five Eyes countries (Australia, Canada, New Zealand, the United Kingdom, and the United States) was established to examine large military exposure data sources available in each country, their applications, and opportunities to leverage information across administrations and internationally. We provide a brief summary of this work here to highlight some successful examples of data applications and to elicit interest in this evolving area of exposure science.

AIMS:To describe patterns of multiple symptom illness (MSI) in New Zealand military veterans, defined as clusters of "medically unexplained" symptoms not fitting within a specific medical diagnosis, and to investigate the relationship with exposure to traumatic events. METHODS:We designed an online cross-sectional survey. The participants of interest were the 3,874 currently serving veterans who had been deployed to a conflict zone, but all veterans were eligible to participate. A modified Centers for Disease Control (CDC) 54-item symptom checklist identified MSI, the post-traumatic checklist-military version (PCL-M) identified symptoms of post-traumatic stress disorder (PTSD) and the brief trauma scale assessed "war zone" service. Factor analysis was used to identify unobserved "latent factors" in the data, factor severity scores and the number of symptoms being calculated for each respondent. RESULTS:The CDC questionnaire was completed by 1,819 veterans, with 1,672 completing the PCL-M. The factor analysis revealed three factors, explaining 86% of the variation in the data. Factor 1 symptoms were of an arthro-neuromuscular nature, Factor 2 cognitive and Factor 3 psycho-physiological. Discriminant function analysis showed that the factors could discriminate between those with and without PTSD but could not discriminate between those who did and did not serve in a war zone. CONCLUSIONS:In veterans, multiple symptoms including pain, sleep disorders, cognitive problems and avoidance, especially when severe, may be worthy of further investigation by health professionals because of the possible association with PTSD.

Objective To identify factors associated with better or poorer self-reported health status in New Zealand military Veterans. Design A cross-sectional survey. Participants The participants of interest were the 3874 currently serving Veterans who had been deployed to a conflict zone, but all Veterans were eligible to participate. Study variables The EQ-5D-5L, asking about problems across five dimensions (mobility, self-care, usual activities, pain or discomfort and anxiety or depression), with five levels of severity (eg, no, slight, moderate, severe or extreme problems), also containing a Visual Analogue Scale (EQ-VAS) to self-assess health state, scaled from 0 (worst) to 100 (best) imagined health. Hypothetical relationships with better health were positive social support, sleep and psychological flexibility; with poorer health, post-traumatic stress, exposure to psychological trauma, distress and hazardous drinking. Results The EQ5-D-5L was completed by 1767 Veterans, 1009 serving, a response rate of 26% from that group, 1767 completing the EQ5-D, 1458 who had deployed, 288 who had not and the 21 who did not provide deployment data. Of these, 247 were not used in the analysis due to missing values in one or more variables, leaving 1520 for analysis. A significantly higher proportion of Veterans reported ‘any problems’ rather than ‘no problems’ with four EQ-5D dimensions: mobility, self-care, usual activities and pain or discomfort, but no difference in anxiety or depression. Age, length of service, deployment, psychological flexibility and better sleep quality were associated with higher EQ-VAS scores; distress with lower EQ-VAS scores. Conclusion In this sample of New Zealand Veterans, psychological flexibility and good sleep are associated with better self-rated health, and distress and poor sleep with diminished health. These factors might be used as sentinel health indicators in assessing Veteran health status, and cognitive–behavioural therapy encompassing these domains may be useful in improving the health of New Zealand Veterans.

Despite growing interest in edible seaweeds, there is limited information on seaweed chemical contaminant levels in the Salish Sea. Without this knowledge, health-based consumption advisories can not be determined for consumers that include Tribes and First Nations, Asian and Pacific Islander community members, and recreational harvesters. We measured contaminant concentrations in edible seaweeds (Fucus distichus, F. spiralis, and Nereocystis luetkeana) from 43 locations in the Salish Sea. Metals were analyzed in all samples, and 94 persistent organic pollutants (POPs) (i.e. 40 PCBs, 15 PBDEs, 17 PCDD/Fs, and 22 organochlorine pesticides) and 51 PAHs were analyzed in Fucus spp. We compared concentrations of contaminants to human health-based screening levels calculated from the USEPA and to international limits. We then worked with six focal contaminants that either exceeded screening levels or international limits (Cd, total Hg, Pb, benzo[a]pyrene [BaP], and PCBs) or are of regional interest (total As). USEPA cancer-based screening levels were exceeded in 30 samples for the PCBs and two samples for BaP. Cadmium concentrations did not exceed the USEPA noncancer-based screening level but did exceed international limits at all sites. Lead exceeded international limits at three sites. Because there are no screening levels for total Hg and total As, and to be conservative, we made comparisons to methyl Hg and inorganic As screening levels. All samples were below the methyl Hg and above the inorganic As screening levels. Without knowledge of the As speciation, we cannot assess the health risk associated with the As. While seaweed was the focus, we did not consider contaminant exposure from consuming other foods. Other chemicals, such as contaminants of emerging concern (e.g., PFAS, pharmaceuticals and personal care products), should also be considered. Additionally, although we focused on toxicological aspects, there are cultural and health benefits of seaweed use that may affect consumer choice.

The NZMJ is currently undergoing a review of all papers to assess the proportion of articles reporting on Hauora Maori outcomes, to determine a baseline for assessment of future publication trends. 3.Ensure the ongoing retention of themed issues in health equity. There was unanimous agreement that the NZMJ should reject publications promoting ethnic bias,3-6 thus taking an international lead in changing researcher and health practitioner culture in Aotearoa in a sustainable way. Consolidated criteria for strengthening reporting of health research involving indigenous peoples: the CONSIDER statement.

Background: For many young people, exposure to music from personal audio system use may represent a significant component of daily noise dose. Moreover, there is increasing concern for the hearing of those who listen at high volumes. The purpose of this study was to determine the noise levels experienced on commuter buses, and to investigate how these impact on the volume-setting behavior of young adult personal audio system users. Methods: A questionnaire was used to probe transport use, personal audio system-listening behaviors and the extent of understanding about noise-induced hearing loss. The influence of bus noise on volume-setting behavior was determined by measuring, in a lab setting, the sound-level preferences of participants when listening to their favorite song, a generic song, or a podcast in the absence and presence of various levels of bus noise, simulated using output-adjusted recordings made of bus noise. Statistical analysis was conducted using analysis of variance. Results: While the bus noise itself was below 85 dB Leq, as the sound level of the buses increased, so did the percentage of commuters who were found to exceed the equivalent of 8 hours of exposure at 85 dB Leq. Implications: Investment in buses with lower noise levels or the use of noise-canceling or noise-occluding headphones would help to reduce the likelihood of noise-induced hearing loss for bus commuters.

Introduction: On April 25, 2020, Veterans’ Affairs in New Zealand (NZ) contacted approximately 3,000 of 8,000 known military Veterans by phone during the SARS-CoV-2 pandemic to ensure they were safe during the government-imposed lockdown. The impetus to this initiative were the findings of a cross-sectional quantitative survey of NZ Veterans, followed by the qualitative survey reported here, both carried out in 2019. The former report found 33% of 89 respondents were lonely and reported barriers to seeking support, and over half of Veterans felt uncomfortable accessing it. Methods: To understand the factors underlying loneliness, a qualitative survey was developed based on the barriers previously identified and a literature review. A purposeful sample based on gender, age, and ethnicity identified 20 respondents from the initial survey: 10 lonely and 10 non-lonely. Interviews were followed by an inductive thematic analysis, and themes and sub-themes were developed. Results: Ten of the 20 potential participants responded: 6 lonely and 4 non-lonely. Social and geographic isolation, problems with re-integration into the civilian community, and health problems were found to contribute to Veteran loneliness. Social connectedness, particularly to service peers, was the primary mitigating factor. Barriers included stoicism and perceptions of ineffective and inaccessible services. Inequity in the Veteran support system also emerged as a barrier for Veterans who had not deployed on operational missions. Discussion: During the pandemic, social connectedness will have decreased, and loneliness increased. Designing interventions with these factors in mind, and ensuring equity of access to support, should help combat Veteran loneliness.

There is increasing interest in the socioeconomic determinants of health and well-being. Efforts to date have focused on the associations between measures of social position and objective measures of health. However, health can also be gauged using subjective measures such as health-related quality of life (HRQOL), while other social determinants, such as neighbourhood factors, appear largely neglected. The aim of this study was to estimate the relationship between HRQOL (as measured by the WHOQoL questionnaire) and both social position (as measured by the New Zealand Deprivation (NZDep) index) and participants’ perceptions about their home neighbourhood. A total of 746 participants living in areas with six different NZDep scores completed a survey probing HRQOL, problems in the neighbourhood, and perceptions of amenity. Results showed that people living in wealthier areas reported better HRQOL, and that amenity ratings mediated the relationship. The study’s findings have implications for researchers interested in the social determinants of health and the operationalisation of these social indicators and health in that health outcomes depended on perceived amenity rather than absolute wealth.

Exposure assessment is an important factor in all epidemiological research seeking to identify, evaluate, and control health risks. In the military and veteran context, population health research to explore exposure-response links is complicated by the wide variety of environments and hazards encountered during active service, long latency periods, and a lack of information on exposures in potentially vulnerable subgroups. This paper summarizes some key considerations for exposure assessment in long-term health studies of military populations, including the identification of hazards related to military service, characterization of potentially exposed groups, exposure data collection, and assignment of exposures to estimate health risks. Opportunities and future directions for exposure assessment in this field are also discussed.

Background Post-traumatic stress (PTS) is prevalent among military personnel. Knowledge of the risk and protective factors associated with PTS in this population may assist with identifying personnel who would benefit from increased or targeted support. Aims To examine factors associated with PTS among New Zealand military personnel. Methods For this cross-sectional study, currently serving and retired military personnel were invited to complete a questionnaire. The questionnaire included a measure of PTS (the Military Post-traumatic Stress Disorder Checklist; PCL-M), where scores ≥30 indicate the experience of significant PTS symptoms and scores ≥45 indicate a presumptive clinical diagnosis of post-traumatic stress. Potential risk and protective factors associated with PTS were examined using logistic regression modelling. Results 1817 military personnel completed the questionnaire. PCL-M scores were ≥30 for 549 (30%) participants and ≥45 for 179 (10%) participants. Factors associated with higher PCL-M scores were trauma exposure, older age, male sex, and Māori ethnicity. Factors associated with lower PCL-M scores were greater length of service, psychological flexibility, and better quality sleep. Conclusions PTS was found to be prevalent among New Zealand military personnel. The experience of trauma was strongly associated with PTS. However, factors such as psychological flexibility (the ability to adapt to changes in circumstances) and good sleep were protective, suggesting that these factors could be key targets for interventions designed to reduce PTS among military personnel in New Zealand.

In the absence of advice from the workplace regulator, a model respiratory protection programme for healthcare workers is presented based in healthcare and wider industry experience. Hospital and other healthcare institutions can use this as a basis for their programmes in preparation for the next infective disease outbreak.

Background: Sensitivity to noise, or nuisance sounds that interrupt relaxation and task-related activities, has been shown to vary significantly across individuals. The current study sought to uncover predictors of noise sensitivity, focussing on possible social and cultural determinants, including social position, education, ethnicity, gender, and the presence of an illness. Method: Data were collected from 746 New Zealand adults residing in 6 areas differentiated by social position. Participants responded to questions probing personal characteristics, noise sensitivity, illness, neighbourhood problems, and noise annoyance. It was hypothesized that those in high-deprivation areas and/or experiencing illness report higher levels of noise sensitivity. Results: Approximately 50 and 10% of the participants reported being moderately or very noise sensitive, respectively. Significant predictors of noise sensitivity included age, length of residence, level of social deprivation, and self-reported illness. Conclusion: There is evidence of social determinants of noise sensitivity, including social position and residential factors.

Emergency health threats, including those caused by bioterrorism and epidemics, require the exercise of extraordinary government functions. Because each state is responsible for safeguarding the health, security, and well being of its people, state governments must be able to respond, rapidly and effectively, to potential or actual public health emergencies. The Model State Emergency Health Powers Act (the "Act") therefore grants specific emergency powers to state governors and public health authorities. At the same time, the Act recognizes that a state's ability to respond to a public health emergency must respect the dignity and rights of persons. The exercise of emergency health powers is designed to promote the common good. Emergency powers must be grounded in a thorough scientific understanding of public health threats and disease transmission. Guided by principles of justice, states have a duty to act with fairness and tolerance towards individuals and groups.