Indices of Multiple Deprivation predict breastfeeding duration in England and Wales

Background:Increasingly the health impacts of physical inactivity are being distinguished from those of sedentary behavior. Nevertheless, deleterious health prognoses occur when these behaviors combine, making it a Public Health priority to establish the numbers and salient identifying factors of people who live with this injurious combination.Methods:Using an observational between-subjects design, a nonprobability sample of 22,836 participants provided data on total daily activity. A 2-step hierarchical cluster analysis identified the optimal number of clusters and the subset of distinguishing variables. Univariate analyses assessed significant cluster differences.Results:High levels of sitting clustered with low physical activity. The Ambulatory & Active cluster (n = 6254) sat for 2.5 to 5 h·d−1 and were highly active. They were significantly younger, included a greater proportion of males and reported low Indices of Multiple Deprivation compared with other clusters. Conversely, the Sedentary & Low Active cluster (n = 6286) achieved ≤60 MET·min·wk−1 of physical activity and sat for ≥8 h·d−1. They were the oldest cluster, housed the largest proportion of females and reported moderate Indices of Multiple Deprivation.Conclusions:Public Health systems may benefit from developing policy and interventions that do more to limit sedentary behavior and encourage light intensity activity in its place.

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Using hierarchical clustering to explore patterns of deprivation among English local authorities

Journal of Public Health ◽

10.1093/pubmed/fdz182 ◽

2019 ◽

Vol 42 (4) ◽

pp. 772-777

Author(s):

Steven L Senior

Keyword(s):

Hierarchical Clustering ◽

Demographic Characteristics ◽

Homogeneous Group ◽

Statistical Testing ◽

Clustering Methods ◽

Local Authorities ◽

Multiple Deprivation ◽

Hierarchical Clustering Methods ◽

Different Levels ◽

Indices Of Multiple Deprivation

Abstract Background The English Indices of Multiple Deprivation (IMD) is widely used as a measure of deprivation. However, similarly ranked areas can differ substantially in the underlying domains of deprivation. These domains contain a richer set of data that might be useful for classifying local authorities. Clustering methods offer a set of techniques to identify groups of areas with similar patterns of deprivation. Methods Hierarchical agglomerative (i.e. bottom-up) clustering methods were applied to domain scores for 152 upper tier local authorities. Advances in statistical testing allow clusters to be identified that are unlikely to have arisen from random partitioning of a homogeneous group. The resulting clusters are described in terms of their subdomain scores and basic geographic and demographic characteristics. Results Five statistically significant clusters of local authorities were identified. These clusters only partially reflect different levels of overall deprivation. In particular, two clusters share similar overall IMD scores but have contrasting patterns of deprivation. Conclusion Hierarchical clustering methods identify five distinct clusters that do not correspond closely to quintiles of deprivation. This approach may help to distinguish between places that face similar underlying challenges, and places that appear similar in terms of overall deprivation scores, but that face different challenges.

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The New Zealand Indices of Multiple Deprivation (IMD): A new suite of indicators for social and health research in Aotearoa, New Zealand

PLoS ONE ◽

10.1371/journal.pone.0181260 ◽

2017 ◽

Vol 12 (8) ◽

pp. e0181260 ◽

Cited By ~ 33

Author(s):

Daniel John Exeter ◽

Jinfeng Zhao ◽

Sue Crengle ◽

Arier Lee ◽

Michael Browne

Keyword(s):

New Zealand ◽

Health Research ◽

Multiple Deprivation ◽

Aotearoa New Zealand ◽

Indices Of Multiple Deprivation

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Small Area Indices of Multiple Deprivation in South Africa

Social Indicators Research ◽

10.1007/s11205-009-9460-7 ◽

2009 ◽

Vol 95 (2) ◽

pp. 281-297 ◽

Cited By ~ 36

Author(s):

Michael Noble ◽

Helen Barnes ◽

Gemma Wright ◽

Benjamin Roberts

Keyword(s):

South Africa ◽

Small Area ◽

Multiple Deprivation ◽

Indices Of Multiple Deprivation

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Correlates of Children’s Moderate and Vigorous Physical Activity During Weekdays and Weekends

Journal of Physical Activity and Health ◽

10.1123/jpah.9.1.129 ◽

2012 ◽

Vol 9 (1) ◽

pp. 129-137 ◽

Cited By ~ 33

Author(s):

Stuart J. Fairclough ◽

Nicola D. Ridgers ◽

Gregory Welk

Keyword(s):

Physical Activity ◽

Vigorous Physical Activity ◽

Moderate Intensity ◽

Multilevel Analyses ◽

Multiple Deprivation ◽

Deprivation Score ◽

Moderate Intensity Physical Activity ◽

Intensity Physical Activity ◽

Vigorous Intensity ◽

Indices Of Multiple Deprivation

Background:Vigorous-intensity physical activity (VPA) may confer superior health benefits for children compared to moderate-intensity physical activity (MPA), but the correlates of MPA and VPA may differ. The study purpose was to investigate associations between selected enabling, predisposing, and demographic physical activity correlates, and MPA and VPA during weekdays and at weekends.Methods:Data were gathered from 175 children (aged 10 to 11 years). MPA and VPA were assessed using accelerometers. Correlates were measured at child and school levels. Multilevel analyses identified correlates that significantly predicted MPA and VPA.Results:Gender significantly predicted weekday MPA (P < .001), and weekend MPA (P = .022) and VPA (P = .035). Weekday VPA was predicted by gender (P < .001), indices of multiple deprivation score (P < .003), BMI (P = .018), and school playground area (P = .046).Conclusions:Gender was the most significant correlate of MPA and VPA. Children most likely to engage in weekday VPA were boys with lower deprivation scores and BMI values, with access to larger playground areas.

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Deprivation, policy and rurality: The limitations and applications of area-based deprivation indices in Scotland

Local Economy The Journal of the Local Economy Policy Unit ◽

10.1177/0269094219827893 ◽

2019 ◽

Vol 34 (1) ◽

pp. 33-50 ◽

Cited By ~ 3

Author(s):

David Clelland ◽

Carol Hill

Keyword(s):

Rural Areas ◽

Allocation Of Resources ◽

Rural Regions ◽

Multiple Deprivation ◽

High Profile ◽

Deprivation Indices ◽

Index Of Multiple Deprivation ◽

Indices Of Multiple Deprivation ◽

Deprived Areas

Indices of multiple deprivation have become increasingly sophisticated and high profile as a means of identifying and targeting deprived areas and populations. However, these have been challenged on a number of grounds, both conceptual and practical, with particular concerns about their applicability to rural areas. At the same time, there is little research on how such measures are used in practice or how they influence policies or the allocation of resources. This paper seeks to quantify the effectiveness of this type of measure in terms of inclusion or exclusion of deprived populations implied by targeting areas based on the results of the Scottish Index of Multiple Deprivation. The results show that the proportion of deprived individuals within these apparently most deprived areas varies widely across different regions. However, this was not strongly related to rurality, suggesting that claims of an inherent bias against rural regions resulting from the use of these measures should be treated with caution. Nevertheless, this analysis demonstrates potential drawbacks to the uncritical reliance on indices of multiple deprivation as a basis for policy and highlights the need for the aims and rationales of such approaches to be more clearly articulated.

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Shooting up? Analysis of 182 gunshot injuries presenting to a London major trauma centre over a seven-year period

Annals of The Royal College of Surgeons of England ◽

10.1308/rcsann.2018.0037 ◽

2018 ◽

Vol 100 (6) ◽

pp. 464-474 ◽

Cited By ~ 2

Author(s):

J Norton ◽

G Whittaker ◽

DS Kennedy ◽

JM Jenkins ◽

D Bew

Keyword(s):

Major Trauma ◽

Trauma Centre ◽

Multiple Deprivation ◽

Firearm Injuries ◽

Patient Demographics ◽

Gunshot Injuries ◽

Major Trauma Centre ◽

Significant Burden ◽

Hospital Resources ◽

Indices Of Multiple Deprivation

Introduction Metropolitan Police data, and those from the emergency department at a London major trauma centre show a resurgence in gun crime. The aim of this study was to collect data on all gunshot injuries over a seven-year period at South-East London’s trauma hub. Materials and methods This was a retrospective observational study of all gunshot injuries between 1 January 2010 and 31 December 2016 at a London major trauma centre. Information regarding patient demographics, morbidity and mortality was collected. Data from the English indices of multiple deprivation were reviewed in relation to shooting locations and socioeconomic status in South-East London. Results A total of 182 patients from 939,331 emergency admissions presented with firearm injuries. Males comprised 178 (97.8%) victims and 124 (68.1%) were documented as being Black or Afro-Caribbean. The median age was 22 years. Some 124 (71.7%) victims were shot within a 4 km radius of the hospital. The mean indices of multiple deprivation decile ranking in shooting locations compared with non-shooting locations was 2.6 (± 0.1384) and 3.8 (± 0.1149), respectively. A total of 122 (67.0%) patients underwent specialist operative intervention and 111 (61.0%) suffered only superficial or musculoskeletal injuries. Six patients required emergency thoracotomies; three (50.0%) survived to discharge. The median length of stay was 4 days (interquartile range 2–9 days) and 35 (24.0%) were admitted to intensive care. Ten (5.5%) patients died. Discussion and conclusion Firearms injuries are increasing and place a significant burden on hospital resources. Care provided to gunshot victims has improved as a result of recent trauma management initiatives at South-East London’s major trauma centre.

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