COMPASS annual research colloquia

COMPASS Research Centre holds an annual research colloquium at Statistics New Zealand in Wellington, to showcase its research to the government, academic, and broader research community.

2018 Colloquium: Monday 13 August

Time

Event

10.0010.15

Morning tea

10.1510.30

Introduction to COMPASS Research Centre
– Barry Milne, Director

10.3011.00

The health consequences of child poverty
– Nichola Shackleton
The aims of this project were to investigate the impact of poverty on six health outcomes, investigate which aspects of poverty dynamics had the greatest impact on health outcomes, and identify which factors most strongly mediated the association between poverty and health using children from SoFIE. I will report results of associations between different measures of poverty and hospitalisations in childhood.

11.0011.30

A small segment of population with a high concentration of service use
– Stephanie D'Souza
Presentation not posted at this time due to journal publishing conflicts.


Concentration indices (e.g. Gini coefficient) measure the extent to which quantities are concentrated in a small proportion of the population. Using IDI data, we describe the extent of concentration of service use across four sectors (hospital, benefits, crime, ACC). We find marked concentration across all, with highest concentration for crime. Most concentrations increased with age, and it was common for the same people to have high service use across different sectors, particularly crime and benefits.

11.3012:00

Whole population analysis for the Better Start National Science Challenge
– Barry Milne

The Better Start “E Tipu E Rea” National Science Challenge aims to understand and address issues facing children and young people in New Zealand, with a particular focus on three themes: Healthy Weight, Resilient Teens, and Successful Literacy and Learning. I will report on findings from analysis of whole population (IDI) data to understand the epidemiology and risk factors associated with outcomes in the 3 theme areas. I will also describe Better Start’s plans for future whole population and “Big Data” research.

12.0012.30

Decomposing ethnic differences in body mass index and obesity rates among preschoolers
– Nichola Shackleton
We used linked data from the B4 School Check, birth records, and census to investigate how much ethnic differences in BMI and obesity can be explained by other sociodemographic characteristics, taking account of individual, family, and neighbourhood level characteristics. This is also part of the “Better Start” National Science Challenge, forming a collaboration between the Big Data and Healthy Weight themes.

12.301.15

Lunch (catered)

1.151.45

The International Social Survey Programme
– Barry Milne
The International Social Survey Programme runs annual surveys in 40–50 countries, with different topics run each year and rotated on a ~10 year cycle. This allows both comparisons between countries and assessments of change over time in attitudes towards and experiences of issues related to gender, work, identity, citizenship, government, social networks, religion, inequality, the environment, and health. I will describe the ISSP surveys and illustrate some of the findings of New Zealand and international research.
1.452.15
New Zealand as a Social Laboratory
– Martin von Randow

Herein we extend our repertoire of microsimulation projects to look at the whole population, through the New Zealand Longitudinal Census. Constructing paired data sets and making everything compatible across time, we use actual transitions between censuses as the basis for a dynamic microsimulation considering the whole age range, with demographic modelling to describe births, deaths, and in and out migration.
2.152.45
Risk factors for loneliness in a longitudinal cohort of older Māori and non-Māori
– Roy Lay-Yee

Loneliness is a debilitating experience for older people that has adverse consequences for health and wellbeing. Our aim is to identify risk factors for loneliness in ‘LiLACS NZ’, a bicultural cohort of older people followed from 2010 to 2015. All Māori aged 80–90 years and non-Māori aged 85 years, living in Bay of Plenty and Lakes DHB areas were invited to participate. We describe how loneliness is patterned for Māori and non-Māori, and use multiple regression to identify risk factors. Our research contributes to an understanding of the complexities of loneliness, and aids the design of effective interventions.
2.45
Finish

Past Colloquia