Mind the gap – unequal from the start: evidence from the early years of the <i>Growing Up in New Zealand</i> longitudinal study

Morton, Susan; Napier, Carin; Morar, Manisha; Waldie, Karen E.; Peterson, Elizabeth R.; Carr, Polly Atatoa; Meissel, Kane; Paine, Sarah‐Jane; Grant, Cameron; Bullen, Pat; Fenaughty, John; Bird, Amy; Underwood, Lisa; Wall, Clare; Exeter, Daniel J.; Prickett, Kate C.; Kingi, Te Kani; Liang, Renee; Fa’alili‐Fidow, Jacinta; Gerritsen, Sarah; Marks, Emma; Walker, Caroline; Langridge, Fiona; Evans, Rebecca; Neumann, Denise; Grant, Molly; Lai, Hak Kan; Taufa, Seini; Smith, Ash; Cha, Jane

doi:10.1080/03036758.2022.2058026

Cited by 13 publications

(20 citation statements)

References 33 publications

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“…This suggests that the change in measure of neighbourhood deprivation may not have been the main driver of the increased levels of movement, but rather signals the start of the middle childhood period which is characterised by greater levels of neighbourhood mobility. This aligns with findings that show that children experience high levels of residential mobility (Morton et al, 2020;Rumbold et al, 2012). Indeed, children's commencement of formal schooling can motivate families to move into more desirable residential contexts for education (Hansen, 2014;Kim et al, 2005), as well as enable the primary caregiver to return to workforce, increasing the economic resources available to the family (Finseraas et al, 2017;Padilla-Romo & Cabrera-Hernández, 2019).…”

Section: Investigating Exposure To Neighbourhood Deprivation At the M...supporting

confidence: 81%

“…Ethical approval for the GUiNZ study was obtained from the Ministry of Health "Northern Y" Regional Ethics Committee. The GUiNZ study has a high retention rate of child participants over the first 8 years of life, with 76% of the baseline cohort captured at every major data collection wave (DCW): antenatal, 9-months, 2-years, and 54-months (Morton et al, 2020). Families of the Growing Up in New Zealand children are supported to participate in all DCWs but are permitted to 'skip' DCWs where participation is not possible.…”

Section: Datamentioning

confidence: 99%

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Measuring Childhood Exposure to Neighbourhood Deprivation at the Macro- and Micro-level in Aotearoa New Zealand

2023

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Neighbourhood effects research has benefited from the application of sequence analysis which, together with cluster analysis, identifies the main temporal patterns of exposure to residential contexts experienced by different groups of people, such as children. However, given that this is a relatively new approach to measuring exposure to neighbourhood deprivation, studies that have utilised sequence analysis to model residential trajectories and test for neighbourhood effects do not contextualise these population-level findings at the individual-level. The current study sought to investigate the patterns of exposure to neighbourhood deprivation experienced by children in Aotearoa New Zealand over the first eight years of life by utilising two different methodological approaches: at the macro-level, the results of the sequence and cluster analysis suggest that in general, children experienced little neighbourhood mobility; at the micro-level, children experienced greater levels of movement between different levels of neighbourhood deprivation in middle childhood, compared to early childhood, while children in the least and most deprived neighbourhoods experienced less mobility than their peers. Together, these findings provide a comprehensive description of the ways in which children are exposed to different residential contexts over time and advance our understandings of how to document these experiences effectively within quantitative research.

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Section: Investigating Exposure To Neighbourhood Deprivation At the M...supporting

confidence: 81%

Section: Datamentioning

confidence: 99%

Measuring Childhood Exposure to Neighbourhood Deprivation at the Macro- and Micro-level in Aotearoa New Zealand

2023

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“…The number of GUiNZ participants included in this comparative analysis is reduced compared to the initial number of included cohorts due to attrition between 9 M and 54 M, which is common in longitudinal studies [36]. Among the GUiNZ cohort, attrition tends to be biased because the highest loss of participants has occurred in groups who reside in highly disadvantaged areas and among those who identify with an ethnicity other than New Zealand European [37]. The time interval since exposure and the degree of detail required, the significance of the events, the interviewing methods used, the influence of social desirability and the individual's characteristics (such as age, socioeconomic status, and academic and health literacy level) have been identified as leading factors that contribute to recall bias in epidemiological research [38].…”

Section: Discussionmentioning

confidence: 99%

Comparing primary caregivers’ reported injury data with routinely recorded injury data to assess predictors of childhood injury

Ghebreab

Kool

Lee

et al. 2023

BMC Med Res Methodol

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Background Linking self-reported data collected from longitudinal studies with administrative health records is timely and cost-effective, provides the opportunity to augment information contained in each and can offset some of the limitations of both data sources. The aim of this study was to compare maternal-reported child injury data with administrative injury records and assess the level of agreement. Methods A deterministic linkage was undertaken to link injury-related data from the Growing up in New Zealand (GUiNZ) study to routinely collected injury records from New Zealand’s Accident Compensation Corporation (ACC) for preschool children. The analyses compared: (i) the characteristics of mothers with linked data vs. those without, (ii) injury incidences from maternal recall with those recorded in ACC injury claims, and (iii) the demographic characteristics of concordant and discordant injury reports, including the validity and reliability of injury records from both data sources. Results Of all mothers who responded to the injury questions in the GUiNZ study (n = 5836), more than 95% (n = 5637) agreed to have their child’s record linked to routine administrative health records. The overall discordance in injury reports showed an increasing trend as children grew older (9% at 9 M to 29% at 54 M). The mothers of children with discordance between maternal injury reports and ACC records were more likely to be younger, of Pacific ethnicity, with lower educational attainment, and live in areas of high deprivation (p < 0.001). The level of agreement between maternal injury recall and ACC injury record decreased (κ = 0.83 to κ = 0.42) as the cohort moved through their preschool years. Conclusions In general, the findings of this study identified that there was underreporting and discordance of the maternal injury recall, which varied by the demographic characteristics of mothers and their child’s age. Therefore, linking the routinely gathered injury data with maternal self-report child injury data has the potential to augment longitudinal birth cohort study data to investigate risk or protective factors associated with childhood injury.

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“…However, although 13 years is the minimum age for joining Facebook and other social media sites, 26% of mothers of 8-year-olds in NZ recently reported that they do not always follow the age restrictions for social media [ 61 ]. Data from the UK and United States indicates that more than half of children aged 12 years and younger are active on social media, and some users are as young as 6 [ 62 , 63 ].…”

Section: Discussionmentioning

confidence: 99%

Unhealthy food and beverage marketing to children on digital platforms in Aotearoa, New Zealand

et al. 2022

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Background Children’s exposure to unhealthy food and beverage marketing has a direct impact on their dietary preference for, and consumption of, unhealthy food and drinks. Most children spend time online, yet marketing restrictions for this medium have had slow uptake globally. A voluntary Children’s and Young People’s Advertising (CYPA) Code was implemented in Aotearoa, New Zealand (NZ) in 2017. This study explores the Code’s limitations in protecting children from harmful food and beverage marketing practices on digital platforms accessible to children. Methods A cross-sectional content analysis of company websites (n = 64), Facebook pages (n = 32), and YouTube channels (n = 15) of the most popular food and beverage brands was conducted between 2019 and 2021 in NZ. Brands were selected based on market share, web traffic analysis and consumer engagement (Facebook page ‘Likes’ and YouTube page views). Analysis focused on volume and type of food posts/videos, level of consumer interaction, nutritional quality of foods pictured (based on two different nutrient profile models), and use of specific persuasive marketing techniques. Results Eighty-one percent of websites (n = 52) featured marketing of unhealthy food and beverages. Thirty-five percent of websites featuring unhealthy food and beverages used promotional strategies positioning their products as ‘for kids’; a further 13% used ‘family-oriented’ messaging. Several websites featuring unhealthy products also had designated sections for children, ‘advergaming,’ or direct messaging to children. Eighty-five percent of all food and drink company Facebook posts and YouTube videos were classified as unhealthy. Twenty-eight percent of Facebook posts for unhealthy products featured persuasive promotional strategies, and 39% premium offers. Nearly 30% of YouTube videos for unhealthy food and beverages featured promotional strategies, and 13% premium offers. Ten percent of Facebook posts and 13% of YouTube videos of unhealthy food and beverages used marketing techniques specifically targeting children and young people. Conclusions The voluntary CYPA Code has been in effect since 2017, but the inherent limitations and loopholes in the Code mean companies continue to market unhealthy food and beverages in ways that appeal to children even if they have committed to the Code. Comprehensive and mandatory regulation would help protect children from exposure to harmful marketing.

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Mind the gap – unequal from the start: evidence from the early years of the Growing Up in New Zealand longitudinal study

Cited by 13 publications

References 33 publications

Measuring Childhood Exposure to Neighbourhood Deprivation at the Macro- and Micro-level in Aotearoa New Zealand

Measuring Childhood Exposure to Neighbourhood Deprivation at the Macro- and Micro-level in Aotearoa New Zealand

Comparing primary caregivers’ reported injury data with routinely recorded injury data to assess predictors of childhood injury

Unhealthy food and beverage marketing to children on digital platforms in Aotearoa, New Zealand

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