Ischaemic Heart Disease and Occupational Exposures: A Longitudinal Linkage Study in the General and Māori Populations of New Zealand

Barnes, Lucy; Eng, Amanda; Corbin, Marine; Mannetje, Andrea ’t; Haslett, Stephen; McLean, Dave; Ellison‐Loschmann, Lis; Jackson, Rod; Douwes, Jeroen

doi:10.1093/annweh/wxab087

Cited by 4 publications

(5 citation statements)

References 33 publications

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“…We created a JEM using NZ-specific prevalence data on the proportion of time exposed to noise from two NZWS,10 FINJEM11 and a US Noise JEM 12. Experts (IL and DM) independently scored each occupation, discrepancies were discussed and consensus was reached.…”

Section: Methodsmentioning

confidence: 99%

“…We created a JEM using prevalence data from two NZWS 10. Experts (DM, AtM and AE) independently scored each occupation as described previously.…”

Section: Methodsmentioning

confidence: 99%

“…Adding an interaction term between age group and time to event did not make a difference. As the study involved multiple comparisons, we assessed whether the difference in expected and observed statistically significant findings was itself significantly (p<0.05) different overall using the method described previously10: ‘we determined, via the binomial theorem, the probability of s 0 or more successes from a sequence of k Bernoulli trials given the probability of success for each test is p . This overall probability is:…”

Section: Methodsmentioning

confidence: 99%

“…About 1/3 of workers in New Zealand (NZ) also report exposure to loud noise at work ≥25% of the time 9. We previously studied associations between occupational exposures and IHD in two NZ workforce surveys (NZWS),10 but power for sedentary work, noise, long hours, and night shifts was low. This data linkage study aimed to elucidate associations between these prevalent workplace exposures and incident IHD for the entire employed population of NZ, stratified by sex and SES.…”

Section: Introductionmentioning

confidence: 99%

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Long working hours, sedentary work, noise, night shifts and risk of ischaemic heart disease

Eng

Dension

Corbin

et al. 2022

Heart

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ObjectiveIschaemic heart disease (IHD) is a leading cause of death in Western countries. The aim of this study was to examine the associations between occupational exposure to loud noise, long working hours, shift work, and sedentary work and IHD.MethodsThis data linkage study included all New Zealanders employed and aged 20–64 years at the time of the 2013 census, followed up for incident IHD between 2013 and 2018 based on hospitalisation, prescription and death records. Occupation and number of working hours were obtained from the census, and exposure to sedentary work, loud noise and night shift work was assessed using New Zealand job exposure matrices. HRs were calculated for males and females using Cox regression adjusted for age, socioeconomic status, smoking and ethnicity.ResultsFrom the 8 11 470 males and 7 83 207 females employed at the time of the census, 15 012 male (1.9%) and 5595 female IHD cases (0.7%) were identified. For males, there was a modestly higher risk of IHD for the highest category (>90 dBA) of noise exposure (HR 1.19; 95% CI 1.07 to 1.33), while for females exposure prevalence was too low to calculate an HR. Night shift work was associated with IHD for males (HR 1.10; 95% CI 1.05 to 1.14) and females (HR 1.25; 95% CI 1.17 to 1.34). The population attributable fractions for night shift work were 1.8% and 4.6%, respectively. No clear associations with working long hours and sedentary work were observed.ConclusionsThis study suggests that occupational exposures to high levels of noise and night shift work might be associated with IHD risk.

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Section: Methodsmentioning

confidence: 99%

“…We created a JEM using prevalence data from two NZWS 10. Experts (DM, AtM and AE) independently scored each occupation as described previously.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Long working hours, sedentary work, noise, night shifts and risk of ischaemic heart disease

Eng

Dension

Corbin

et al. 2022

Heart

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“…Little is known about occupational risks for heart diseases, but links have been established between CVDs and certain toxins (including carbon disulfide, nitroglycerin, and carbon monoxide), extreme heat and cold, exposure to tobacco smoke, ultrafine particles, depression, and occupational stress (12). Other occupational hazards potentially related to CVDs includes noise exposure at work, shift work, and physical activity at work.…”

Section: Introductionmentioning

confidence: 99%

The prevalence and associated risk factors of work-related cardiovascular disorders among healthcare workers in five reference hospitals in the city of Douala, Cameroon

Meh¹,

Bopda²,

Buh³

et al. 2023

GSC Adv. Res. Rev.

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Background: Recent investigations suggest that environmental, psychosocial, non-specific job stressors such as work overload, repetitive tasks, and shift work could have a negative influence on the cardiovascular systems of workers. This study aimed to investigate the prevalence and associated risk factors of work-related cardiovascular disorders (WRCVDs) among healthcare workers in five reference hospitals in the city of Douala, Cameroon. Methods: A quantitative, descriptive cross-sectional study was conducted from 2019 to 2022 among 561 healthcare professionals working in the city of Douala, Cameroon. Participants were selected using a convenient sampling technique. Cardiovascular complaints and risk factors were explored through questions on the family history, and personal health profile of participants, body mass index together with information got from records of the automated blood pressure machine. Data were analyzed using SPSS version 26 for descriptive and inferential statistics, and excel 2019 for data coding, cleaning, filtering and sorting. Chi Square, Odd Ratios and Logistics regressions were used to examine associations and identify risk factors. Results: The prevalence of WRCVDs for the last 12 months was 6.4% (36/562) among healthcare workers. Furthermore, self-reported data on symptoms and possible signs showed that in the last 12 months 38.9% (218/561) have had a family member diagnosed of at least one cardiovascular disorders. Proportions of 23.4% (131/561) and 29.8% (167/561) participants reported to have experienced discomfort in their left chest and shortness of breath respectively lasting for more than an hour in the previous six months. Also, 22.5% (126/561), 29.4% (165/561) and 3.9% (22/561) reported coldness of feet, palpitations and loss of consciousness respectively. This study also found that there was a significant association between specialty (0.044), institution of work (0.028) and the risk of having WRCVDs with the highest prevalence’s being the nursing profession 52.8% (19/561) and GHD 33.3% (12/561) respectively. It was further unveiled that secondary smoking is a significant predictor of having a work-related cardiovascular disorder (p = 0.009), all factors held constant. Age was significantly associated with WRCVDs (Chi2 =13.945, p <0.005). Conclusion: The prevalence of WRCVDs among healthcare professionals was low in Douala hospitals. This study revealed interesting association between WRCVDs and demographics of the study participants with age and secondary smoking being significant predictors of WRCVDs.

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Prioritization of intervention domains to prevent cardiovascular disease: a country-level case study using global burden of disease and local data

Wilson

Cleghorn

Nghiem

et al. 2023

Popul Health Metrics

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Aim We aimed to combine Global Burden of Disease (GBD) Study data and local data to identify the highest priority intervention domains for preventing cardiovascular disease (CVD) in the case study country of Aotearoa New Zealand (NZ). Methods Risk factor data for CVD in NZ were extracted from the GBD using the “GBD Results Tool.” We prioritized risk factor domains based on consideration of the size of the health burden (disability-adjusted life years [DALYs]) and then by the domain-specific interventions that delivered the highest health gains and cost-savings. Results Based on the size of the CVD health burden in DALYs, the five top prioritized risk factor domains were: high systolic blood pressure (84,800 DALYs; 5400 deaths in 2019), then dietary risk factors, then high LDL cholesterol, then high BMI and then tobacco (30,400 DALYs; 1400 deaths). But if policy-makers aimed to maximize health gain and cost-savings from specific interventions that have been studied, then they would favor the dietary risk domain (e.g., a combined fruit and vegetable subsidy plus a sugar tax produced estimated lifetime savings of 894,000 health-adjusted life years and health system cost-savings of US$11.0 billion; both 3% discount rate). Other potential considerations for prioritization included the potential for total health gain that includes non-CVD health loss and potential for achieving relatively greater per capita health gain for Māori (Indigenous) to reduce health inequities. Conclusions We were able to show how CVD risk factor domains could be systematically prioritized using a mix of GBD and country-level data. Addressing high systolic blood pressure would be the top ranked domain if policy-makers focused just on the size of the health loss. But if policy-makers wished to maximize health gain and cost-savings using evaluated interventions, dietary interventions would be prioritized, e.g., food taxes and subsidies.

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Ischaemic Heart Disease and Occupational Exposures: A Longitudinal Linkage Study in the General and Māori Populations of New Zealand

Cited by 4 publications

References 33 publications

Long working hours, sedentary work, noise, night shifts and risk of ischaemic heart disease

Long working hours, sedentary work, noise, night shifts and risk of ischaemic heart disease

The prevalence and associated risk factors of work-related cardiovascular disorders among healthcare workers in five reference hospitals in the city of Douala, Cameroon

Prioritization of intervention domains to prevent cardiovascular disease: a country-level case study using global burden of disease and local data

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