Cue Reactivity to Electronic Cigarettes: A Systematic Review.

Cue reactivity to Electronic Nicotine Delivery Systems (ENDS) has been studied by several researchers, yet the variability in user types (smokers, former smokers, dual users, exclusive ENDS users) and ENDS designs used between the studies may have undermined consistent results. This systematic review aims to give an overview of ENDS cue reactivity and how smoking status and device design may moderate this. A systematic search of Medline, Embase, Web of Science, PubMed and Cochrane was completed. All studies which reported findings on reactivity to ENDS cues in the form of craving or desire for ENDS or cigarettes, attention to cue, delay of gratification or economic decisions were included. Exclusion criteria were non-human subjects, non-adult participants or participants with comorbidities. Literature selection was carried out by 2 independent reviewers. The risk of bias and study quality were assessed using tools developed by Cochrane, BMJ and NHLBI. A total of 711 papers were screened and 22 studies were included in the current review. Study design, research question(s), population of interest, number of participants, dependent variable(s), ENDS generation and nicotine content used and study results were extracted. ENDS cues reliably induced ENDS craving, with no clear moderation by smoking status and no apparent moderation by device generation. In about half of the studies, ENDS cues induced craving for conventional cigarettes. Most studies used a smoker sample, thus limiting the conclusions that can be drawn on the moderation of cue reactivity by smoking status. The quality varied among studies but comparing the findings against the outcomes of only high-quality studies did not yield any different results. The results of this review support the notion of cue reactivity to ENDS, identifies gaps in current research on different user types and implies that ENDS design iterations have little impact on cue reactivity.

What impact would tobacco retailer proximity limit have on tobacco availability in New Zealand?

INTRODUCTION: One policy option to reduce the density of tobacco retailers is to restrict the distance retailers can be located to each other. This study examined the impacts of proximity limits of 150 m, 300 m and 450 m between tobacco retailers in New Zealand and if critical threshold reduction in tobacco retailers of 90%-95% would be achieved. METHODS: Using a spatial modelling approach, tobacco retailers were randomly removed based on a minimum distance between retailers until there were zero retailers within each scenario's minimum distance. This was repeated for all three proximity limit scenarios and descriptive statistics are provided for each. RESULTS: Implementation of 150 m, 300 m or 450 m distance restrictions between tobacco retailers would result in an average reduction in availability of 35%, 49% and 58%, respectively. On average, the current median distance to the closest retailer increases from 110 m to 377 m, to 568 m or to 718 m, respectively. The average median distance from a retailer to the closest school also increases across the three proximity limits, from 1017 m to 1087 m, to 1149 m or to 1231 m, respectively. Reduced clustering in deprived areas would be most apparent if a 450 m restriction policy was implemented. CONCLUSIONS: A proximity limit of 450 m would reduce retailers by 58%, but would not reach proposed critical behaviour-change threshold of 90%-95% required to reduce smoking prevalence independently. There is a need for a combination of policies, which focus on promoting equity, to achieve this bold endgame goal.

Virtual Reality Technology Use in Cigarette Craving and Smoking Interventions (I "Virtually" Quit): Systematic Review.

BACKGROUND: Over the last 2 decades, virtual reality technologies (VRTs) have been proposed as a way to enhance and improve smoking cessation therapy. OBJECTIVE: This systematic review aims to evaluate and summarize the current knowledge on the application of VRT in various smoking cessation therapies, as well as to explore potential directions for future research and intervention development. METHODS: A literature review of smoking interventions using VRT was conducted. RESULTS: Not all intervention studies included an alternative therapy or a placebo condition against which the effectiveness of the intervention could be benchmarked, or a follow-up measure to ensure that the effects were lasting. Virtual reality (VR) cue exposure therapy was the most extensively studied intervention, but its effect on long-term smoking behavior was inconsistent. Behavioral therapies such as a VR approach-avoidance task or gamified interventions were less common but reported positive results. Notably, only 1 study combined Electronic Nicotine Delivery Devices with VRT. CONCLUSIONS: The inclusion of a behavioral component, as is done in the VR approach-avoidance task and gamified interventions, may be an interesting avenue for future research on smoking interventions. As Electronic Nicotine Delivery Devices are still the subject of much controversy, their potential to support smoking cessation remains unclear. For future research, behavioral or multicomponent interventions are promising avenues of exploration. Future studies should improve their validity by comparing their intervention group with at least 1 alternative or placebo control group, as well as incorporating follow-up measures.

Investigating the Association Between Child Television Viewing and Measured Child Adiposity Outcomes in a Large Nationally Representative Sample of New Zealanders: A Cross-Sectional Study.

BACKGROUND: This study investigates the association between television (TV) viewing and child adiposity and if parental education and child ethnicity moderate this association. METHOD: Cross-sectional, pooled (2013/2014-2016/2017) adult and child New Zealand Health Survey were matched resulting in 13,039 children (2-14 y) and parent dyads. Child TV viewing was estimated using self-reported time for each weekday and weekend. The height (in centimeters), weight (in kilograms), and waist circumference of parents and children were measured. Childhood body mass index and obesity were defined using the International Obesity Task Force cutoff values. Effect modification was assessed by interaction and then by stratifying regression analyses by parent education (low, moderate, and high) and child ethnicity (Asian, European/other, Maori, and Pacific). RESULTS: Overall, watching ≥2 hours TV on average per day in the past week, relative to <2 hours TV viewing, was associated with a higher odds of obesity (adjusted odds ratio = 1.291 [1.108-1.538]), higher body mass index z score (b = 0.123 [0.061-0.187]), and higher waist circumference (b = 0.546 [0.001-1.092]). Interactions considering this association by child ethnicity and parent education revealed little evidence of effect modification. CONCLUSION: While TV viewing was associated with child adiposity, the authors found little support for a moderating role of parental education and child ethnicity.

Spatial-temporal patterns of childhood immunization in New Zealand (2006-2017): an improving pattern but not for all?

BACKGROUND: Declining childhood immunization represents a serious public health problem globally and in New Zealand. To guide efforts to increase immunization coverage, this study monitors nationwide change in immunization coverage since the introduction of the National Immunisation Register (NIR) in 2005 and spatiotemporal patterns of immunization coverage from 2006 to 2017. METHODS: The study population consisted of 4 482 499 individual immunization records that were obtained from the NIR (2005-2017). Data on yearly and average immunization coverage in census area units (CAUs) in New Zealand were calculated by milestone age (6/8/12/18/24/60/144 months). Data for 2005 were excluded due to missing records in the introductory period of the NIR. We analyzed spatial and spatiotemporal patterns using Gi* and SaTScan methods. RESULTS: Immunization coverage improved since the introduction of the NIR in 2005, reaching a peak in 2014 and 2015 with a slight decrease in 2016 and 2017. Well and insufficiently immunized areas were identified with spatial autocorrelation analyses highlighting several hot- and cold-spots. Comparison of CAUs with neighbouring CAUs allowed for the identification of places where immunization coverage was significantly higher or lower than expected, over both time and space. CONCLUSION: We provide the first spatiotemporal analysis of childhood immunization in New Zealand that utilizes a large sample of over 4.4 million individual immunization records. Our spatial analyses enable policymakers to understand the development of childhood immunization coverage and make more effective prevention strategies in New Zealand.

Investigating spatial variation and change (2006-2017) in childhood immunisation coverage in New Zealand.

BACKGROUND: Immunisation is a safe and effective way of protecting children and adults against harmful diseases. However, immunisation coverage of children is declining in some parts of New Zealand. AIM: Use a nationwide sample to first, examine the socioeconomic and demographic determinants of immunisation coverage and spatial variation in these determinants. Second, it investigates change in immunisation coverage in New Zealand over time. METHODS: Individual immunisation records were obtained from the National Immunisation Register (NIR) (2005-2017; 4,482,499 events). We calculated the average immunisation coverage by year and milestone age for census area units (CAU) and then examined the immunisation coverage by selected socioeconomic and demographic determinants. Finally, local variations in the association between immunisation coverage and selected determinants were investigated using geographically weighted regression. RESULTS: Findings showed a decrease of immunisation rates in recent years in CAUs with high immunisation coverage in the least deprived areas and increasing immunisation rates in more deprived areas. Nearly all explanatory variables exhibited a spatial variation in their association with immunisation coverage. For instance, the strongest negative effect of area-level deprivation is observed in the northern part of the South Island, the central-southern part of the North Island, around Auckland, and in Northland. CONCLUSION: Our findings show that childhood immunisation coverage varies by socioeconomic and demographic factors across CAUs. We also identify important spatial variation and changes over time in recent years. This evidence can be used to improve immunisation related policy in New Zealand.

Area-level deprivation, childhood dental ambulatory sensitive hospitalizations and community water fluoridation: evidence from New Zealand.

BACKGROUND: We examined the association between area-level deprivation and dental ambulatory sensitive hospitalizations (ASH) and considered the moderating effect of community water fluoridation (CWF). The hypothesis was that higher levels of deprivation are associated with higher dental ASH rates and that CWF will moderate this association such that children living in the most deprived areas have greater health gain from CWF. METHODS: Dental ASH conditions (dental caries and diseases of pulp/periapical tissues), age, gender and home address identifier (meshblock) were extracted from pooled cross-sectional data (Q3, 2011 to Q2, 2017) on children aged 0-4 and 5-12 years from the National Minimum Dataset, New Zealand (NZ) Ministry of Health. CWF was obtained for 2011 and 2016 from the NZ Institute of Environmental Science and Research. Dental ASH rates for children aged 0-4 and 5-12 years (/1000) were calculated for census area units (CAUs). Multilevel negative binomial models investigated associations between area-level deprivation, dental ASH rate and moderation by CWF status. RESULTS: Relative to CWF (2011 and 2016), no CWF (2011 and 2016) was associated with increased dental ASH rates in children aged 0-4 [incidence rate ratio (IRR) = 1.171 (95% confidence interval 1.064, 1.288)] and aged 5-12 years [IRR = 1.181 (1.084, 1.286)]. An interaction between area-level deprivation and CWF showed that the association between CWF and dental ASH rates was greatest within the most deprived quintile of children aged 0-4 years [IRR = 1.316 (1.052, 1.645)]. CONCLUSIONS: CWF was associated with a reduced dental ASH rate for children aged 0-4 and 5-12 years. Children living in the most deprived areas showed the greatest effect of CWF on dental ASH rates, indicating that the greater health gain from CWF occurred for those with the highest socio-economic disadvantage. Variation in CWF contributes to structural inequities in oral-health outcomes for children.

Investigating the prevalence of non-fluoride toothpaste use in adults and children using nationally representative data from New Zealand: a cross-sectional study.

Introduction Despite improvements in oral health outcomes in New Zealand over the last number of decades, there are still high levels of preventable tooth decay in adults and children. We investigate the prevalence and spatial variation of non-fluoride toothpaste use in a nationally representative sample of adults and children in New Zealand.Method Individual-level self-reported data were sourced from the New Zealand Health Survey (2017/18). Both child (n = 4,723) and adult (n = 13,869) data were used. Data included sociodemographic (for example, age), socioeconomic (for example, area-level deprivation) and dental-related (for example, type of toothpaste used) variables.Results Overall, 6.8% of adults and 6.4% of children use non-fluoride toothpaste. When split by deprivation, the highest prevalence of non-fluoride toothpaste use for children and adults was in the moderate to least deprived areas, while the lowest prevalence was in the most deprived areas. When disaggregated by ethnicity, the Asian population had the highest prevalence of non-fluoride toothpaste use for both adults and children compared to Maori, Pacific and European/Other. There was little difference in prevalence by rural/urban classification; however, prevalence varied geographically across the study area.Conclusion This is the first study that uses a nationally representative sample of adults and children to show variation in the use of non-fluoride toothpaste in New Zealand.

Experiences of the Built Environment, Falls and Fear of Falling Outdoors among Older Adults: An Exploratory Study and Future Directions.

Falls can have serious impacts on the health, wellbeing and daily mobilities of older adults. Falls are a leading cause of injury and death amongst older adults and outdoor falls comprise a substantial proportion of pedestrian injuries. As well as physical injuries, the psychological impacts of experiencing a fall can result in older adults getting out of the house less often, resulting in lower levels of physical activity and social connection. Despite the known consequences of falls, relatively little research considers the impact of the urban built environment on falls among older adults. This research aimed to explore the experiences of older adults in the urban environment, falling and the fear of falling outdoors. We conducted an online survey with adults aged 50+ using a participatory mapping survey tool and a convenience sample. The study area was Greater Christchurch, New Zealand. Results suggest that both perceived accessibility and neighbourhood conditions are independently associated with fear of falling, after controlling for frequency of falling, gender and activities of daily living. Our findings demonstrate the need for much better understandings of the relationships between the urban environment, outdoor mobility, fear of falling and falling among older adults and we propose suggestions for future research.

Obesity risk in women of childbearing age in New Zealand: a nationally representative cross-sectional study.

OBJECTIVES: To investigate risk factors for women with obesity of childbearing age. METHODS: A cross-sectional survey of New Zealand women (15-49 years) with measured height and weight was used [unweighted (n = 3625) and weighted analytical sample (n = 1,098,372)] alongside sociodemographic-, behavioural- and environmental-level predictors. Multilevel logistic regression weighted for non-response of height and weight data was used. RESULTS: Meeting physical activity guidelines (AOR (adjusted odds ratio) 0.66, 95% CI 0.54-0.80), Asian (AOR 0.15, 95% CI 0.10-0.23) and European/other ethnicity (AOR 0.46, 95% CI 0.36-0.58) and an increased availability of public greenspace (Q4 AOR 0.55, 95% CI 0.41-0.75) were related to decreased obesity risk. Older age (45-49 years AOR 3.01, 95% CI 2.17-4.16), Pacific ethnicity (AOR 2.81, 95% CI 1.87-4.22), residing in deprived areas (AOR 1.65, 95% CI 1.16-2.35) or secondary urban areas (AOR 1.49, 95% CI 1.03-2.18) were related to increased obesity risk. When examined by rural/urban classification, private greenspace was only related to increased obesity risk in main urban areas. CONCLUSIONS: This study highlights factors including but not limited to public greenspace, which inform obesity interventions for women of childbearing age in New Zealand.

smokeSALUD: exploring the effect of demographic change on the smoking prevalence at municipality level in Austria.

BACKGROUND: Reducing the smoking population is still high on the policy agenda, as smoking leads to many preventable diseases, such as lung cancer, heart disease, diabetes, and more. In Austria, data on smoking prevalence only exists at the federal state level. This provides an interesting overview about the current health situation, but for regional planning authorities these data are often insufficient as they can hide pockets of high and low smoking prevalence in certain municipalities. METHODS: This paper presents a spatial-temporal change of estimated smokers for municipalities from 2001 and 2011. A synthetic dataset of smokers is built by combining individual large-scale survey data and small area census data using a deterministic spatial microsimulation approach. Statistical analysis, including chi-square test and binary logistic regression, are applied to find the best variables for the simulation model and to validate its results. RESULTS: As no easy-to-use spatial microsimulation software for non-programmers is available yet, a flexible web-based spatial microsimulation application for health decision support (called simSALUD) has been developed and used for these analyses. The results of the simulation show in general a decrease of smoking prevalence within municipalities between 2001 and 2011 and differences within areas are identified. These results are especially valuable to policy decision makers for future planning strategies. CONCLUSIONS: This case study shows the application of smokeSALUD to model the spatial-temporal changes in the smoking population in Austria between 2001 and 2011. This is important as no data on smoking exists at this geographical scale (municipality). However, spatial microsimulation models are useful tools to estimate small area health data and to overcome these problems. The simulations and analysis should support health decision makers to identify hot spots of smokers and this should help to show where to spend health resources best in order to reduce health inequalities.

Optimising the location of antenatal classes.

OBJECTIVES: To combine microsimulation and location-allocation techniques to determine antenatal class locations which minimise the distance travelled from home by potential users. DESIGN: Microsimulation modeling and location-allocation modeling. SETTING: City of Leeds, UK. PARTICIPANTS: Potential users of antenatal classes. METHODS: An individual-level microsimulation model was built to estimate the number of births for small areas by combining data from the UK Census 2001 and the Health Survey for England 2006. Using this model as a proxy for service demand, we then used a location-allocation model to optimize locations. FINDINGS: Different scenarios show the advantage of combining these methods to optimize (re)locating antenatal classes and therefore reduce inequalities in accessing services for pregnant women. KEY CONCLUSIONS: Use of these techniques should lead to better use of resources by allowing planners to identify optimal locations of antenatal classes which minimise women's travel. IMPLICATIONS FOR PRACTICE: These results are especially important for health-care planners tasked with the difficult issue of targeting scarce resources in a cost-efficient, but also effective or accessible, manner. (169 words).