Socio-economic inequalities in mortality for Asian people: New Zealand Census-Mortality Study, 1996–2004

Jatrana, Santosh; Dayal, Saira; Richardson, Ken; Blakely, Tony

doi:10.1007/s12546-018-9212-0

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…To address these gaps in the evidence in an Asian multi-ethnic cohort study, we investigated the movement behaviour profiles of children aged 5.5- and 8- years, and explored how the profile membership changed from age 5.5- to 8- years. Due to differences in values/norms and biological susceptibility among boys and girls, as well as differences in culture, beliefs and socio-economic status among different ethnic groups [ 21 – 23 ], movement behaviours may evolve differently in children of different sex and ethnicity [ 10 , 20 , 24 – 29 ]. We therefore further describe profile membership and transitions in profile membership from age 5.5 to 8 years according to sex and the three main ethnic groups (Chinese, Malay and Indian) residing in Singapore.…”

Section: Introductionmentioning

confidence: 99%

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

Padmapriya

Chen

Goh

et al. 2021

Int J Behav Nutr Phys Act

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Background Time spent in movement behaviours, including physical activity (PA), sedentary behaviour (SB) and sleep, across the 24-h day may have distinct health consequences. We aimed to describe 24-h movement behaviour (24 h-MB) profiles in children and how profile membership changed from age 5.5 to 8 years. Methods Children in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort were asked to wear an accelerometer (ActiGraph-GT3X+) on their wrist for seven consecutive days at ages 5.5 and 8 years to measure 24 h-MB patterns. Time spent in night sleep, inactivity (proxy for SB), light PA, moderate PA (MPA), and vigorous PA (VPA) per day were calculated using the R-package GGIR 2.0. Using latent profile analyses (n = 442) we identified 24 h-MB profiles, which were given animal names to convey key characteristics. Latent transition analyses were used to describe the profile membership transition from ages 5.5 to 8 years. Associations with sex and ethnicity were examined. Results We identified four profiles, “Rabbits” (very high-MPA/VPA, low-inactivity and average-night-sleep), “Chimpanzees” (high-MPA, low-inactivity and average-night-sleep), “Pandas” (low-PA, high-inactivity and high-night-sleep) and “Owls” (low-PA, high-inactivity and low-night-sleep), among children at both time points. At ages 5.5 and 8 years, the majority of children were classified into profiles of “Chimpanzees” (51 and 39%, respectively) and “Pandas” (24 and 37%). Half of the sample (49%), particularly “Rabbits”, remained in the same profile at ages 5.5 and 8 years: among children who changed profile the predominant transitions occurred from “Chimpanzees” (27%) and “Owls” (56%) profiles to “Pandas”. Sex, but not ethnicity, was associated with profile membership: compared to girls, boys were more likely to be in the “Rabbits” profile (adjusted OR [95% CI]: 3.6 [1.4, 9.7] and 4.5 [1.8, 10.9] at ages 5.5 and 8 years, respectively) and less likely to be in the “Pandas” profile (0.5 [0.3, 0.9] and 0.4 [0.2, 0.6]) at both ages. Conclusions With increasing age about half the children stayed in the same of four 24 h-MB profiles, while the predominant transition for the remaining children was towards lower PA, higher inactivity and longer sleep duration. These findings can aid development and implementation of public health strategies to promote better health. Study registration This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.

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Section: Introductionmentioning

confidence: 99%

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

Padmapriya

Chen

Goh

et al. 2021

Int J Behav Nutr Phys Act

View full text Add to dashboard Cite

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Comparing the Health Status of Immigrant and New Zealand-Born Older Adults in Aotearoa New Zealand: The Role of Socioeconomic Position

Szabó,

Goodin

2024

J Aging Health

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Objectives The study investigated the health status of older migrants relative to their New Zealand-born peers. We adopted a holistic view of health (physical, mental, and social) and a structural approach to health disparities based on migrant status and socioeconomic position. Methods Using case–control matching based on age, gender, and education, the health status of 357 older migrants and 357 New Zealand-born older adults was compared. Results Older migrants reported significantly poorer social health. Health inequities were patterned by socioeconomic status. Working class older migrants had significantly poorer physical, mental, and social health than their New Zealand-born peers. Inequities in social wellbeing persisted even at the upper end of the social gradient. Discussion Migrant background is an important social determinant of health in older age. The reduced social wellbeing of economically advantaged migrants highlights vulnerabilities regardless of socioeconomic position and the need for targeted social policies.

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Socio-economic inequalities in mortality for Asian people: New Zealand Census-Mortality Study, 1996–2004

Cited by 2 publications

References 33 publications

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

Comparing the Health Status of Immigrant and New Zealand-Born Older Adults in Aotearoa New Zealand: The Role of Socioeconomic Position

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