Proximity effects in obesity rates in the US: A Spatial Markov Chains approach

被引：26

作者：

Agovino, Massimiliano ^{[4
]}

Crociata, Alessandro ^{[5
]}

Sacco, Pier Luigi ^{[1
,2
,3
,6
]}

机构：

[1] IULM Univ, Via Carlo Bo 1, I-20143 Milan, Italy

[2] Harvard Univ, Boylston Hall,Harvard Yard, Cambridge, MA 02138 USA

[3] Harvard, MetaLAB, Cambridge, MA USA

[4] Parthenope Univ, Naples, Italy

[5] GSSI, Laquila, Italy

[6] FBK IRVAPP, Trento, Italy

来源：

SOCIAL SCIENCE & MEDICINE | 2019年 / 220卷

关键词：

Obesity rates; Obesity epidemics; Proximity effects; Spatial Markov chain; Ergodic distribution; SPACE-TIME ANALYSIS; SOCIOECONOMIC-STATUS; PHYSICAL-ACTIVITY; UNITED-STATES; FOOD-PRICES; HEALTH; NEIGHBORHOOD; CONSUMPTION; INEQUALITY; EFFICACY;

D O I：

10.1016/j.socscimed.2018.11.013

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

In this paper, we investigate, by means of a Spatial Markov Chains approach, the existence of proximity effects at State level for US data on obesity rates in the period 1990-2011. We find that proximity effects do play an important role in the spatial diffusion of obesity (the obesity 'epidemics'), and that the actual health geography of nearby States in terms of high vs. low obesity rates makes an important difference as to the future evolution of the States own obesity rate over time. This means, in particular, that clusters of States characterized by uniformly high levels of obesity rates, as it happens for instance in the US Southern macro-region, may suffer from a perverse 'geographical lock-in' effect that calls for coordinated action across States to implement effective countervailing policies.

引用

页码：301 / 311

页数：11

共 50 条

[21] Forecasting the Effects of Obesity and Smoking on US Life Expectancy
Stewart, Susan T.
Cutler, David M.
Rosen, Allison B.
NEW ENGLAND JOURNAL OF MEDICINE, 2009, 361 (23) : 2252 - 2260
[22] Effects of caregiver-child acculturation on child obesity among US Latino individuals
Ravanbakht, Sophie N.
Skinner, Asheley C.
Armstrong, Sarah
Weinberger, Morris
Hassmiller-Lich, Kristen
Frerichs, Leah
OBESITY, 2023, 31 (08) : 2103 - 2109
[23] Metropolitan/non-metropolitan divergence: A spatial Markov chain approach
Hammond, GW
PAPERS IN REGIONAL SCIENCE, 2004, 83 (03) : 543 - 563
[24] Spatial clustering of physical activity and obesity in relation to built environment factors among older women in three US states
Tamura, Kosuke
Puett, Robin C.
Hart, Jaime E.
Starnes, Heather A.
Laden, Francine
Troped, Philip J.
BMC PUBLIC HEALTH, 2014, 14
[25] Spatial distribution dynamics and prediction of COVID-19 in Asian countries: spatial Markov chain approach
Shabani, Zahra Dehghan
Shahnazi, Rouhollah
REGIONAL SCIENCE POLICY AND PRACTICE, 2020, 12 (06): : 1005 - 1025
[26] Spatial Clustering of County-Level COVID-19 Rates in the US
Andrews, Marcus R.
Tamura, Kosuke
Best, Janae N.
Ceasar, Joniqua N.
Batey, Kaylin G.
Kearse, Troy A.
Allen, Lavell V.
Baumer, Yvonne
Collins, Billy S.
Mitchell, Valerie M.
Powell-Wiley, Tiffany M.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (22)
[27] Impact of federal transfers upon US infant mortality rates: a secondary analysis using a fixed effects regression approach
McLaughlin, Michael
Rank, Mark R.
BMJ OPEN, 2018, 8 (09):
[28] Spatial Variation in the Hispanic Paradox: Mortality Rates in New and Established Hispanic US Destinations
Brazil, Noli
POPULATION SPACE AND PLACE, 2017, 23 (01)
[29] Identifying the Effect of Immigration on Homicide Rates in US Cities: An Instrumental Variables Approach
Schnapp, Patrick
HOMICIDE STUDIES, 2015, 19 (02) : 103 - 122
[30] Local modelling of US mortality rates: A multiscale geographically weighted regression approach
Cupido, Kyran
Fotheringham, A. Stewart
Jevtic, Petar
POPULATION SPACE AND PLACE, 2021, 27 (01)

← 1 2 3 4 5 →