scholarly journals Ethnic differences in height growth trajectories and early life factors: findings from the UK Millennium Cohort Study

2020 ◽  
Vol 11 (1) ◽  
pp. 105-119
Author(s):  
Yi Lu ◽  
Anna Pearce ◽  
Leah Li
Keyword(s):  
South Asian ◽  
Ethnic Differences ◽  
Early Life ◽  
White Children ◽  
Black African ◽  
Explanatory Factors ◽  
Asian Children ◽  
Uk Millennium Cohort Study ◽  
The Uk ◽  
Lower Birthweight

Height growth is an important biomarker for early life exposures that influence later disease risk. Previous studies show that ethnic minority children in the UK tend to be born lighter but experience more rapid infancy growth than White peers. However, whether subsequent child-to-adolescent growth differs by ethnic group is insufficiently understood. We used the data from 15,239 singletons in the UK Millennium Cohort Study and applied mixed-effects cubic growth models to examine ethnic differences in height trajectories between 3y and 14y. Models were subsequently adjusted for potential early life explanatory factors. Compared with White counterparts, South Asian children had lower birthweight and shorter parents on average, but were slightly taller at 3y by 0.5cm [95% CI: 0.2–0.9] and had comparable childhood and adolescent trajectories, except that girls had a slower growth in adolescence. Height of South Asians relative to White children increased after adjusting for birthweight (taller by 1.3cm at 3y). Black African/Caribbeans were taller than White children at all ages between 3y and 14y (at 3y boys: 2.2cm, 1.2–2.7; girls: 3.2cm, 2.6–3.8) with height differences widening in childhood and reducing in adolescence. Adjustment for potential explanatory factors did not alter these differences. Despite having lower birthweight, contemporary UK South Asian children had comparable child-to-adolescent growth as White children. Black African/Caribbeans were considerably taller than other ethnic groups. Future research is needed in understanding the role of genetic and other environmental factors (such as diet) in these distinct growth patterns across ethnic groups and their health implications.

scholarly journals Differences in Physical Activity Levels between White and South Asian Children in the United Kingdom

2008 ◽  
Vol 20 (3) ◽  
pp. 285-291 ◽  
Author(s):  
Michael J. Duncan ◽  
Lorayne Woodfield ◽  
Yahya Al-Nakeeb ◽  
Alan M. Nevill
Keyword(s):  
Physical Activity ◽  
South Asian ◽  
Vigorous Physical Activity ◽  
Activity Levels ◽  
Vigorous Activity ◽  
White Children ◽  
The United Kingdom ◽  
Asian Children ◽  
Physical Activity Levels ◽  
The Uk

The purpose of this study was to compare physical activity levels between white and South Asian children in the UK. The data were obtained from 606, 11–14 year old schoolchildren (397 white; 209 Asian). Physical activity was assessed using the ‘four by one day’ recall questionnaire from which the time spent in moderate and vigorous physical activity was calculated. Boys were significantly more active than girls (p = .0001), and white children reported significantly greater physical activity than south Asian children (p = .001). Mean ± SD of time spent in moderate and vigorous activity was 90.2 ± 65.4 mins and 68.2 ± 49.3 mins for white and south Asian children and 103.5 ± 63.4 mins and 65.6 ± 53.5 mins for boys and girls respectively. These findings indicate that south Asian children are significantly less active than their white peers and there may be a need for specific interventions to target South Asian children particularly.

scholarly journals Exploring the impact of early life factors on inequalities in risk of overweight in UK children: findings from the UK Millennium Cohort Study

2016 ◽  
Vol 101 (8) ◽  
pp. 724-730 ◽  
Author(s):  
Samuel Massion ◽  
Sophie Wickham ◽  
Anna Pearce ◽  
Ben Barr ◽  
Catherine Law ◽  
...  
Keyword(s):  
Early Life ◽  
Social Inequalities ◽  
Childhood Overweight ◽  
Smoking During Pregnancy ◽  
The Social ◽  
Maternal Smoking During Pregnancy ◽  
Early Life Factors ◽  
Uk Millennium Cohort Study ◽  
The Uk ◽  
Academic Qualifications

BackgroundOverweight and obesity in childhood are socially patterned, with higher prevalence in more disadvantaged populations, but it is unclear to what extent early life factors attenuate the social inequalities found in childhood overweight/obesity.MethodsWe estimated relative risks (RRs) for being overweight (combining with obesity) at age 11 in 11 764 children from the UK Millennium Cohort Study (MCS) according to socio-economic circumstances (SEC). Early life risk factors were explored to assess if they attenuated associations between SECs and overweight.Results28.84% of children were overweight at 11 years. Children of mothers with no academic qualifications were more likely to be overweight (RR 1.72, 95% CI 1.48 to 2.01) compared to children of mothers with degrees and higher degrees. Controlling for prenatal, perinatal, and early life characteristics (particularly maternal pre-pregnancy overweight and maternal smoking during pregnancy) reduced the RR for overweight to 1.44, 95% CI 1.23 to 1.69 in the group with the lowest academic qualifications compared to the highest.ConclusionsWe observed a clear social gradient in overweight 11-year-old children using a representative UK sample. Moreover, we identified specific early life risk factors, including maternal smoking during pregnancy and maternal pre-pregnancy overweight, that partially account for the social inequalities found in childhood overweight. Policies to support mothers to maintain a healthy weight, breastfeed and abstain from smoking during pregnancy are important to improve maternal and child health outcomes, and our study provides some evidence that they may also help to address the continuing rise in inequalities in childhood overweight.

scholarly journals Ethnic differences in bone geometry between White, Black and South Asian men in the UK

Bone ◽  
2016 ◽  
Vol 91 ◽  
pp. 180-185 ◽  
Author(s):  
A. Zengin ◽  
S.R. Pye ◽  
M.J. Cook ◽  
J.E. Adams ◽  
F.C.W. Wu ◽  
...  
Keyword(s):  
South Asian ◽  
Ethnic Differences ◽  
Bone Geometry ◽  
Asian Men ◽  
The Uk

scholarly journals Maternal mental health and childhood injury: evidence from the UK Millennium Cohort Study

2018 ◽  
Vol 104 (3) ◽  
pp. 268-274 ◽  
Author(s):  
Steven Hope ◽  
Jessica Deighton ◽  
Nadia Micali ◽  
Catherine Law
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Mental Health Problems ◽  
Maternal Mental Health ◽  
Health Problems ◽  
Millennium Cohort Study ◽  
Childhood Injury ◽  
Explanatory Factors ◽  
Uk Millennium Cohort Study ◽  
The Uk

ObjectiveWe assessed whether maternal mental health problems increased rates for child injury during the preschool years and mid-childhood, and the extent to which associations could be accounted for by a range of potential explanatory factors.DesignWe analysed the UK Millennium Cohort Study, a nationally representative sample with data collected throughout childhood. Multinomial regression was used to investigate whether two measures of maternal mental health (diagnosed depression/anxiety and psychological distress) were associated with subsequent childhood injury. Models adjusted for sociodemographics, parenting and child externalising behaviours.Main outcome measureMaternal report of unintentional injuries (none, 1, 2+) recorded at three data collection periods (3–5 years; 5–7 years; 7–11 years).ResultsThe analytic sample comprised n=9240 families who participated 3–11 years with complete data on exposures and outcomes (multiply imputing missing covariates). Exposure to maternal mental health problems was associated with increased rates of subsequent childhood injuries. Associations attenuated after adjustment for potential explanatory factors, although they remained elevated. For example, high maternal distress was associated with injuries 3–5 years (adjusted relative risk ratio (aRRR): 1 injury=1.18, 95% CI 0.86 to 1.61; 2+ injuries=2.22, 95% CI 1.22 to 4.02); injuries 5–7 years (aRRR: 1 injury=1.31, 95% CI 0.97 to 1.76; 2+ injuries=1.84, 95% CI 1.09 to 3.09); and injuries 7–11 years (aRRR: 1 injury=1.03, 95% CI 0.81 to 1.31; 2+ injuries=1.33, 95% CI 0.97 to 1.81).ConclusionsChildren exposed to mothers with mental health problems had higher rates of childhood injury than those not exposed. If further investigation of this association suggests causality then it will be important to test measures that address mothers’ mental health issues with a view to reducing injuries among their children.

scholarly journals Cross-ethnic friendships, psychological well-being, and academic outcomes: Study of South Asian and White children in the UK

2016 ◽  
Vol 14 (2) ◽  
pp. 190-205 ◽  
Author(s):  
Sabahat C. Bagci ◽  
Madoka Kumashiro ◽  
Adam Rutland ◽  
Peter K. Smith ◽  
Herbert Blumberg
Keyword(s):  
South Asian ◽  
Academic Outcomes ◽  
Well Being ◽  
Psychological Well Being ◽  
White Children ◽  
Outcomes Study ◽  
The Uk

scholarly journals Ethnic differences in COVID-19 infection, hospitalisation, and mortality: an OpenSAFELY analysis of 17 million adults in England

2020 ◽  
Author(s):  
Rohini Mathur ◽  
Christopher T. Rentsch ◽  
Caroline Morton ◽  
William J Hulme ◽  
Anna Schultze ◽  
...  
Keyword(s):  
Ethnic Minority ◽  
South Asian ◽  
Ethnic Differences ◽  
Minority Groups ◽  
Household Size ◽  
Ethnic Minority Groups ◽  
Icu Admission ◽  
Explanatory Factors ◽  
Clinical Records ◽  
White Adults

Background: COVID-19 has had a disproportionate impact on ethnic minority populations, both in the UK and internationally. To date, much of the evidence has been derived from studies within single healthcare settings, mainly those hospitalised with COVID-19. Working on behalf of NHS England, the aim of this study was to identify ethnic differences in the risk of COVID-19 infection, hospitalisation and mortality using a large general population cohort in England. Methods: We conducted an observational cohort study using linked primary care records of 17.5 million adults between 1 February 2020 and 3 August 2020. Exposure was self-reported ethnicity collapsed into the 5 and 16 ethnicity categories of the English Census. Multivariable Cox proportional hazards regression was used to identify ethnic differences in the risk of being tested and testing positive for SARS-CoV-2 infection, COVID-19 related intensive care unit (ICU) admission, and COVID-19 mortality, adjusted for socio-demographic factors, clinical co-morbidities, geographic region, care home residency, and household size. Results: A total of 17,510,002 adults were included in the study; 63% white (n=11,030,673), 6% south Asian (n=1,034,337), 2% black (n=344,889), 2% other (n=324,730), 1% mixed (n=172,551), and 26% unknown (n=4,602,822). After adjusting for measured explanatory factors, south Asian, black, and mixed groups were marginally more likely to be tested (south Asian HR 1.08, 95%CI 1.07-1.09; black HR 1.08; 95%CI 1.06-1.09, mixed HR 1.03, 95%CI 1.01-1.05), and substantially more likely to test positive for SARS-CoV-2 compared with white adults (south Asian HR 2.02. 95% CI 1.97-2.07; black HR 1.68, 95%CI 1.61-1.76; mixed HR 1.46, 95%CI 1.36-1.56). The risk of being admitted to ICU for COVID-19 was substantially increased in all ethnic minority groups compared with white adults (south Asian HR 2.22, 95%CI 1.96-2.52; black HR 3.07, 95%CI 2.61-3.61; mixed HR 2.86, 95%CI 2.19-3.75, other HR 2.86, 95%CI 2.31-3.63). Risk of COVID-19 mortality was increased by 25-56% in ethnic minority groups compared with white adults (south Asian HR 1.27, 95%CI 1.17-1.38; black HR 1.55, 95%CI 1.38-1.75; mixed HR 1.40, 95%CI 1.12-1.76; other HR 1.25, 95%CI 1.05-1.49). We observed heterogeneity of associations after disaggregation into detailed ethnic groupings; Indian and African groups were at higher risk of all outcomes; Pakistani, Bangladeshi and Caribbean groups were less or equally likely to be tested for SARS-CoV-2, but at higher risk of all other outcomes, Chinese groups were less likely to be tested for and test positive for SARS-CoV-2, more likely to be admitted to ICU, and equally likely to die from COVID-19. Conclusions: We found evidence of substantial ethnic inequalities in the risk of testing positive for SARS-CoV-2, ICU admission, and mortality, which persisted after accounting for explanatory factors, including household size. It is likely that some of this excess risk is related to factors not captured in clinical records such as occupation, experiences of structural discrimination, or inequitable access to health and social services. Prioritizing linkage between health, social care, and employment data and engaging with ethnic minority communities to better understand their lived experiences is essential for generating evidence to prevent further widening of inequalities in a timely and actionable manner.

scholarly journals Explaining ethnic differentials in COVID-19 mortality: cohort study

2021 ◽  
Author(s):  
G David Batty ◽  
Bamba Gaye ◽  
Catharine R Gale ◽  
Mark Hamer ◽  
Camille Lassale
Keyword(s):  
Cohort Study ◽  
South Asian ◽  
Social Factors ◽  
Minority Groups ◽  
Black Study ◽  
Uk Biobank ◽  
Ethnic Minority Groups ◽  
Explanatory Factors ◽  
National Mortality ◽  
The Uk

Abstract Ethnic inequalities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality have been widely reported but there is scant understanding of how they are embodied. The UK Biobank prospective cohort study comprises around half a million people who were aged 40-69 years at study induction between 2006 and 2010 when information on ethnic background and potential explanatory factors was captured. Study members were prospectively linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 705 deaths were ascribed to COVID-19 between 5th March, 2020 and 24th January, 2021. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced around five times the risk of COVID-19 mortality (odds ratio; 95% confidence interval: 4.81; 3.28, 7.05), while there was a doubling in the South Asian group (2.05; 1.30, 3.25). Controlling for baseline comorbidities, social factors (including socioeconomic circumstances), and lifestyle indices attenuated this risk differential by 34% in Black study members (2.84; 1.91, 4.23) and 37% in South Asian individuals (1.57; 0.97, 2.55). The residual risk of COVID-19 deaths in ethnic minority groups may be ascribed to a range of unmeasured characteristics and requires further exploration.

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