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Dema E, Peters H, Gilleece Y, Thorne C. Residential and healthcare mobility during pregnancy among women living with HIV in the UK, 2009-2019. HIV Med 2024; 25:990-997. [PMID: 38599574 DOI: 10.1111/hiv.13648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/01/2024] [Indexed: 04/12/2024]
Abstract
INTRODUCTION The extent to which individuals living with HIV experience residential and healthcare mobility during pregnancy in the UK is unknown. We aimed to determine a minimum estimate of residential and healthcare mobility during pregnancy in people living with HIV in the UK in 2009-2019 to explore patterns of and factors associated with mobility and to assess whether mobility was associated with specific HIV outcomes. METHODS We analyzed data from the Integrated Screening Outcomes Surveillance Service to assess pregnancies with HIV in the UK and included livebirths and stillbirths with estimated delivery in 2009-2019. Residential mobility was defined as changing residential postcode between notification and delivery, and healthcare mobility was defined as changing NHS Trust or Strategic Health Authority (SHA) in that same timeframe. We used logistic regression to determine factors associated with residential and healthcare mobility and with detectable delivery viral load. RESULTS Among 10 305 pregnancies, 19.6% experienced residential mobility, 8.1% changed NHS Trust, and 4.5% changed SHA during pregnancy. Mobility was more likely to be experienced by younger women, migrants, and those with new antenatal diagnosis; residential but not healthcare mobility declined over time. In a fully adjusted model, mobility was not associated with having a detectable viral load at delivery. Higher proportions of infants were lost to follow-up after mobile pregnancies than after non-mobile pregnancies. CONCLUSIONS This analysis provides new knowledge on mobility during pregnancy in the context of HIV, but further research is needed to understand its broader impacts and its utility as a marker to help identify families requiring additional follow-up and support.
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Affiliation(s)
- Emily Dema
- Institute for Global Health, University College London, London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Helen Peters
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Yvonne Gilleece
- Brighton & Sussex Medical School, Brighton, UK
- University Hospitals Sussex NHS Foundation Trust, Brighton, UK
| | - Claire Thorne
- Great Ormond Street Institute of Child Health, University College London, London, UK
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Kienast-von Einem C, Panter J, Ogilvie D, Reid A. Exploring residential relocation- differences between newcomers and settled residents in health, travel behaviour and neighbourhood perceptions. Health Place 2024; 87:103254. [PMID: 38701677 DOI: 10.1016/j.healthplace.2024.103254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 04/15/2024] [Accepted: 04/26/2024] [Indexed: 05/05/2024]
Abstract
This study explores whether people who have recently moved to an area differ from longer-term residents in their health, travel behaviour, and perceptions of the environment. Using a large, representative sample from the UKHLS, Newcomers demonstrate significantly lower mental and physical health, reduced car commuting, and a higher likelihood of liking their neighbourhood. Area deprivation, urbanicity, household income, and age emerge as influential moderators with i.e. Newcomers in affluent areas experiencing lower physical health than Settled Residents, and rural Newcomers expressing less neighbourhood satisfaction. Our findings highlight that Newcomers' perceptions of their environment diverge and environmental influences vary among population segments, potentially impacting related health behaviours such as active travel. Furthermore, residential relocation introduces Newcomers with distinct characteristics into areas, affecting the context in which potential population health interventions aiming to influence health behaviours operate. This necessitates a deeper understanding of what influences reactions to the environment as well as ongoing adaptation of environmental interventions to respond to changing contexts within the same location over time.
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Affiliation(s)
- Caroline Kienast-von Einem
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom; Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, United Kingdom.
| | - Jenna Panter
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
| | - David Ogilvie
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
| | - Alice Reid
- Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, United Kingdom.
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Zou H, Xiao H, Xu H. Does China's Equalization of Basic Public Health Services policy improve delivery care for migrant women? BMC Public Health 2023; 23:74. [PMID: 36627595 PMCID: PMC9832805 DOI: 10.1186/s12889-022-14950-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 12/26/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND As of 2020, 1 in 4 people in China is a domestic migrant. However, their lack of access to health care in destination cities has been largely neglected by the Chinese government until recently. METHODS Drawing on data from the 2010-2016 China Migrants Dynamic Survey, this study evaluated the impact of a pilot program of the Equalization of Basic Public Health Services launched in 2014 and focused on place of childbirth, an important indicator of delivery care. A difference-in-differences design was employed for statistical inference. RESULTS The migrant pilot program increased the likelihood of a migrant childbirth at a migration destination by about 4 to 8 percentage points, depending on the model specification. Further analyses revealed that this positive effect was short-term and benefited relatively better-off migrant families. CONCLUSION The migrant pilot program improved delivery care for migrant women. The Chinese government needs to expand this pilot program to more cities and improve its benefits to better serve the massive migrant population.
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Affiliation(s)
- Hong Zou
- grid.443347.30000 0004 1761 2353School of Economics, Southwestern University of Finance and Economics, 555 Liutai Ave, Wenjiang District, Chengdu, China
| | - Han Xiao
- grid.443347.30000 0004 1761 2353School of Economics, Southwestern University of Finance and Economics, 555 Liutai Ave, Wenjiang District, Chengdu, China
| | - Hongwei Xu
- grid.262273.00000 0001 2188 3760Department of Sociology, Queens College, Powdermaker Hall 252, 65-30 Kissena Blvd, 11367 Queens, NY USA
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Harville EW, Wallace ME, Theall KP. Eviction as a social determinant of pregnancy health: County-level eviction rates and adverse birth outcomes in the United States. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022; 30:e5579-e5587. [PMID: 36065610 DOI: 10.1111/hsc.13983] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 06/10/2022] [Accepted: 08/13/2022] [Indexed: 06/15/2023]
Abstract
Access to housing is an important manifestation of structural racism and discrimination, and birth outcomes show wide health disparities, but few studies have examined eviction and birth outcomes. This multilevel study merged data from the Eviction Lab on 2015 eviction judgements and records with the National Center for Health Statistics natality dataset. The analytic sample included 2,950,965 births across 5924 counties in 45 states. Outcomes of interest were low birthweight (<2500 g; LBW) and preterm birth (<37 weeks gestation; PTB). We fit generalised estimating equations to account for clustering within county and a logistic distribution to estimate the odds ratio of LBW or PTB associated with the county-level eviction rate, with control for individual- and county-level characteristics. Results were calculated separately for non-Hispanic white, non-Hispanic black and Hispanic mothers. After adjustment for covariates, living in the counties in the highest quartile of eviction was associated with a 12-13% increased odds of LBW. The magnitude of association with PTB was not as large. Non-Hispanic black women were more likely to live in counties in the highest quartile of eviction rate (43%, vs. 23% for white women and 23% for Hispanic women) or filing rate (44%, vs. 23% for white and 18% for Hispanic). The association between eviction rate and LBW/PTB was strongest for black women, while there was essentially no association among Hispanic women. Housing instability may be a key social determinant of poor birth outcomes and should be considered in state and local maternal and child health policy and programming.
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Affiliation(s)
- Emily W Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Maeve E Wallace
- Department of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Katherine P Theall
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
- Department of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
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5
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Ding L, Li X, Tang X, Feng Y, Wang Y, Cheng J, Sun M, Zhou C. Effect of social integration on childbirth return among internal migrant pregnant women: a nationally representative study in China. BMC Health Serv Res 2020; 20:918. [PMID: 33028334 PMCID: PMC7541329 DOI: 10.1186/s12913-020-05783-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 09/30/2020] [Indexed: 11/17/2022] Open
Abstract
Background Social integration has been demonstrated to be associated with the health care use among migrants, but few studies have focused on migrant pregnant women. This study aims to explore the association between social integration and childbirth at woman’s hometown (childbirth return) of internal migrant pregnant women in China. Method Using the data of “Monitoring Data of Chinese Migrants” in 2014, a total of 3412 internal migrant pregnant women were included in this study. Social integration was measured by economic integration, acculturation, and identification. The childbirth locations of internal migrant pregnant women were divided into current residency and the woman’s hometown. Univariate logistic regression and two multivariable logistic regression models were employed to assess the association between social integration and childbirth return among internal migrant pregnant women. Result Our study finds that 24.56% of migrant pregnant women choose to have a childbirth return. As for social integration, those who have their own house (OR = 0.351 95% CI 0.207–0.595) in current residence, who have been staying in current residence for at least 5 years (OR = 0.449; 95% CI 0.322–0.626), and who are willing to stay in the current residence for a long time (OR = 0.731; 95% CI 0.537–0.995) are less likely to have a childbirth return. Apart from social integration, our results also show that those migrant pregnant women who are older, who have higher education level, who have at least two family members in current residence, with a migration reason of work and business, who have established health record in the current residency, and who were not covered by medical insurances, are less likely to have a childbirth return. Conclusion Social integration is negatively associated with childbirth return among internal migrant pregnant women in China. To improve the utilization of maternal care services for migrant pregnant women in current residence, targeted policies should be made to improve social integration status for migrant pregnant women.
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Affiliation(s)
- Lulu Ding
- Centre for Health Management and Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Xinying Li
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Xue Tang
- Centre for Health Management and Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yuejing Feng
- Centre for Health Management and Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yi Wang
- Centre for Health Management and Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Jiejie Cheng
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Mei Sun
- School of Public Health, Fudan University, Shanghai, 200032, China.
| | - Chengchao Zhou
- Centre for Health Management and Policy, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. .,NHC Key Laboratory of Health Economics and Policy Research (Shandong University), 44 Wen-hua-xi Road, Jinan, 250012, Shandong, China.
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Tang D, Gao X, Rebeira M, Coyte PC. Effects of Migration on Infant and Maternal Health in China. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2020; 56:46958019884189. [PMID: 31646919 PMCID: PMC6820187 DOI: 10.1177/0046958019884189] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
We assess the association between maternal migrant status and health outcomes in China, which has one of the world’s largest migrant populations. Health records from the Shanghai First Maternity and Infant Hospital from January 1, 2013, to June 30, 2017, were used to analyze 104 681 live births for Shanghai native-born and migrant women based on International Classification of Diseases, Tenth Revision diagnosis codes and demographic data. Regression analysis including propensity score matching was conducted to investigate the association between maternal migrant status and adverse infant birth outcomes (fetal disease, congenital malformation, neonatal disease) and maternal health after controlling for pregnancy status and socioeconomic factors. The results demonstrate that migrant women had statistically significant increased odds (9.1%-10%, P < .001) of having infants with adverse health outcomes compared with their urban counterparts and that migrant mothers have less likelihood of pregnancy complications and gestational diabetes mellitus. Our results show the mixed effects of migration on infant and maternal health may be a possible outcome of China’s Hukou system that often represents an important barrier in accessing prenatal health care by migrant women. Current reforms that improve access to prenatal health care services for migrant women may enhance the health outcomes of their infants.
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Affiliation(s)
- Di Tang
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.,School of Public Administration, East China Normal University, Shanghai, China.,Institute of Health Policy, Management and Evaluation, University of Toronto, ON, Canada
| | - Xiangdong Gao
- School of Public Administration, East China Normal University, Shanghai, China
| | - Mayvis Rebeira
- Institute of Health Policy, Management and Evaluation, University of Toronto, ON, Canada
| | - Peter C Coyte
- Institute of Health Policy, Management and Evaluation, University of Toronto, ON, Canada
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Smith RB, Beevers SD, Gulliver J, Dajnak D, Fecht D, Blangiardo M, Douglass M, Hansell AL, Anderson HR, Kelly FJ, Toledano MB. Impacts of air pollution and noise on risk of preterm birth and stillbirth in London. ENVIRONMENT INTERNATIONAL 2020; 134:105290. [PMID: 31783238 DOI: 10.1016/j.envint.2019.105290] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 10/14/2019] [Accepted: 10/25/2019] [Indexed: 05/17/2023]
Abstract
BACKGROUND Evidence for associations between ambient air pollution and preterm birth and stillbirth is inconsistent. Road traffic produces both air pollutants and noise, but few studies have examined these co-exposures together and none to date with all-cause or cause-specific stillbirths. OBJECTIVES To analyse the relationship between long-term exposure to air pollution and noise at address level during pregnancy and risk of preterm birth and stillbirth. METHODS The study population comprised 581,774 live and still births in the Greater London area, 2006-2010. Outcomes were preterm birth (<37 completed weeks gestation), all-cause stillbirth and cause-specific stillbirth. Exposures during pregnancy to particulate matter with diameter <2.5 μm (PM2.5) and <10 μm (PM10), ozone (O3), primary traffic air pollutants (nitrogen dioxide, nitrogen oxides, PM2.5 from traffic exhaust and traffic non-exhaust), and road traffic noise were estimated based on maternal address at birth. RESULTS An interquartile range increase in O3 exposure was associated with elevated risk of preterm birth (OR 1.15 95% CI: 1.11, 1.18, for both Trimester 1 and 2), all-cause stillbirth (Trimester 1 OR 1.17 95% CI: 1.07, 1.27; Trimester 2 OR 1.20 95% CI: 1.09, 1.32) and asphyxia-related stillbirth (Trimester 1 OR 1.22 95% CI: 1.01, 1.49). Odds ratios with the other air pollutant exposures examined were null or <1, except for primary traffic non-exhaust related PM2.5, which was associated with 3% increased odds of preterm birth (Trimester 1) and 7% increased odds stillbirth (Trimester 1 and 2) when adjusted for O3. Elevated risk of preterm birth was associated with increasing road traffic noise, but only after adjustment for certain air pollutant exposures. DISCUSSION Our findings suggest that exposure to higher levels of O3 and primary traffic non-exhaust related PM2.5 during pregnancy may increase risk of preterm birth and stillbirth; and a possible relationship between long-term traffic-related noise and risk of preterm birth. These findings extend and strengthen the evidence base for important public health impacts of ambient ozone, particulate matter and noise in early life.
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Affiliation(s)
- Rachel B Smith
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Sean D Beevers
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - David Dajnak
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
| | - Margaret Douglass
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Anna L Hansell
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - H Ross Anderson
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Population Health Research Institute, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK
| | - Frank J Kelly
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Mireille B Toledano
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK.
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Influence of past trauma and health interactions on homeless women's views of perinatal care: a qualitative study. Br J Gen Pract 2019; 69:e760-e767. [PMID: 31501164 PMCID: PMC6733590 DOI: 10.3399/bjgp19x705557] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 04/05/2019] [Indexed: 11/23/2022] Open
Abstract
Background Homeless women are twice as likely to become pregnant and are less likely to receive antenatal care than women who are not homeless. Prevalent biopsychosocial complexity and comorbidities, including substance use and mental illness, increase the risk of obstetric complications, postnatal depression, and child loss to social services. Aim To explore the perspectives of women who have experienced pregnancy and homelessness to ascertain how to improve perinatal care. Design and setting A qualitative study with a purposive sample of women who had experienced pregnancy and homelessness, recruited from three community settings. Method Semi-structured interviews continued to data saturation and were recorded, transcribed, and analysed thematically using a self-conscious approach, with independent verification of emergent themes. Results Eleven women, diverse in age (18–40 years) and parity (one to five children), participated. Most women had experienced childhood trauma, grief, mental illness, and substance use. Overarching themes of ‘mistrust‘ and ‘fear of child loss to social services’ (CLSS) influenced their interactions with practitioners. The women experienced stigma from practitioners, and lacked effective support networks. Women who mistrusted practitioners attended appointments but concealed their needs, preventing necessary care. Further themes were being seen to do ‘the best for the baby’; pregnancy-enabled access to necessary holistic biopsychosocial care; and lack of postnatal support for CLSS or parenting. Conclusion Pregnancy offered a pivotal opportunity for homeless women to engage with care for their complex needs and improve self-care, despite mistrust of practitioners. Poor postnatal support and the distress of CLSS reinforced an ongoing cycle of grief, mental health crises, substance use relapse, and homelessness.
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Tee Lewis PG, Chen TY, Chan W, Symanski E. Predictors of residential mobility and its impact on air pollution exposure among children diagnosed with early childhood leukemia. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2019; 29:510-519. [PMID: 30770842 DOI: 10.1038/s41370-019-0126-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 08/22/2018] [Accepted: 11/12/2018] [Indexed: 06/09/2023]
Abstract
Epidemiology studies relying on one address to assign exposures over time share common methodological limitations in failing to account for mobility that may introduce potential exposure misclassification. Using Texas birth certificate and cancer registry data, we identified predictors of residential mobility among mothers of children diagnosed with early childhood leukemia in Texas from 1995 to 2011. We used U.S. Environmental Protection Agency (EPA) National Air Toxics Assessment data to estimate residential levels of benzene and 1,3-butadiene based on addresses at birth and diagnosis and applied mixed-effects ordinal logistic regression models to evaluate differences in exposure classification between the two time periods. In total, 55% of children moved from time of birth to diagnosis, although they generally did not move far (median distance moved was 8 km). Predictors of mobility, at delivery, included younger age, being unmarried and living in neighborhoods with high benzene levels, and, at diagnosis, increasing child's age and living in neighborhoods with low poverty rates. We observed that the odds of being assigned to a higher exposure quartile at diagnosis relative to the time of birth decreased by 31% for 1,3-butadiene (OR = 0.69, 95% CI 0.59-0.82) and by 12% for benzene (OR = 0.88, 95% CI 0.75, 1.05).
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Affiliation(s)
- P Grace Tee Lewis
- Department of Epidemiology, Human Genetics and Environmental Sciences, Southwest Center for Occupational and Environmental Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Pressler Street, Houston, TX, 77030, USA
- Environmental Defense Fund, 301 Congress Avenue, Suite 1300, Austin, TX, 78701, USA
| | - Ting-Yu Chen
- Department of Biostatistics, UTHealth School of Public Health, 1200 Pressler Street, Houston, TX, 77030, USA
| | - Wenyaw Chan
- Department of Biostatistics, UTHealth School of Public Health, 1200 Pressler Street, Houston, TX, 77030, USA
| | - Elaine Symanski
- Department of Epidemiology, Human Genetics and Environmental Sciences, Southwest Center for Occupational and Environmental Health, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Pressler Street, Houston, TX, 77030, USA.
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10
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Ghosh RE, Freni-Sterrantino A, Douglas P, Parkes B, Fecht D, de Hoogh K, Fuller G, Gulliver J, Font A, Smith RB, Blangiardo M, Elliott P, Toledano MB, Hansell AL. Fetal growth, stillbirth, infant mortality and other birth outcomes near UK municipal waste incinerators; retrospective population based cohort and case-control study. ENVIRONMENT INTERNATIONAL 2019; 122:151-158. [PMID: 30472002 DOI: 10.1016/j.envint.2018.10.060] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 10/08/2018] [Accepted: 10/31/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Some studies have reported associations between municipal waste incinerator (MWI) exposures and adverse birth outcomes but there are few studies of modern MWIs operating to current European Union (EU) Industrial Emissions Directive standards. METHODS Associations between modelled ground-level particulate matter ≤10 μm in diameter (PM10) from MWI emissions (as a proxy for MWI emissions) within 10 km of each MWI, and selected birth and infant mortality outcomes were examined for all 22 MWIs operating in Great Britain 2003-10. We also investigated associations with proximity of residence to a MWI. Outcomes used were term birth weight, small for gestational age (SGA) at term, stillbirth, neonatal, post-neonatal and infant mortality, multiple births, sex ratio and preterm delivery sourced from national registration data from the Office for National Statistics. Analyses were adjusted for relevant confounders including year of birth, sex, season of birth, maternal age, deprivation, ethnicity and area characteristics and random effect terms were included in the models to allow for differences in baseline rates between areas and in incinerator feedstock. RESULTS Analyses included 1,025,064 births and 18,694 infant deaths. There was no excess risk in relation to any of the outcomes investigated during pregnancy or early life of either mean modelled MWI PM10 or proximity to an MWI. CONCLUSIONS We found no evidence that exposure to PM10 from, or living near to, an MWI operating to current EU standards was associated with harm for any of the outcomes investigated. Results should be generalisable to other MWIs operating to similar standards.
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Affiliation(s)
- Rebecca E Ghosh
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Anna Freni-Sterrantino
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Philippa Douglas
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK; Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College London, SW3 6LR, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Brandon Parkes
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Gary Fuller
- MRC-PHE Centre for Environment and Health, Environmental Research Group, School of Population Health and Environment Sciences, King's College London, London SE1 9NH, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester LE1 7RH, UK
| | - Anna Font
- MRC-PHE Centre for Environment and Health, Environmental Research Group, School of Population Health and Environment Sciences, King's College London, London SE1 9NH, UK
| | - Rachel B Smith
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Paul Elliott
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Imperial College Biomedical Research Centre, Imperial College London, London SW7 2AZ, UK; Directorate of Public Health and Primary Care, Imperial College Healthcare NHS Trust, London W2 1NY, UK.
| | - Mireille B Toledano
- National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Anna L Hansell
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester LE1 7RH, UK; Directorate of Public Health and Primary Care, Imperial College Healthcare NHS Trust, London W2 1NY, UK.
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11
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Tang Z, Zhang H, Bai H, Chen Y, Zhao N, Zhou M, Cui H, Lerro C, Lin X, Lv L, Zhang C, Zhang H, Xu R, Zhu D, Dang Y, Han X, Xu X, Lin R, Yao T, Su J, Ma B, Liu X, Wang Y, Wang W, Liu S, Luo J, Huang H, Liang J, Jiang M, Qiu W, Bell ML, Qiu J, Liu Q, Zhang Y. Residential mobility during pregnancy in Urban Gansu, China. Health Place 2018; 53:258-263. [PMID: 30196043 PMCID: PMC6556377 DOI: 10.1016/j.healthplace.2018.08.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 08/22/2018] [Accepted: 08/27/2018] [Indexed: 11/24/2022]
Abstract
BACKGROUND Studies on environmental exposures during pregnancy commonly use maternal residence at time of delivery, which may result in exposure misclassification and biased estimates of exposure and disease association. Studies on residential mobility during pregnancy are needed in various populations to aid studies of the environmental exposure and birth outcomes. However, there is still a lack of studies investigating residential mobility patterns in Asian populations. METHODS We analyzed data from 10,542 pregnant women enrolled in a birth cohort study in Lanzhou, China (2010-2012), a major industrial city. Multivariate logistic regression was used to evaluate residential mobility patterns in relation to maternal complications and birth outcomes. RESULTS Of the participants, 546 (5.2%) moved during pregnancy; among those who moved, 40.5%, 34.8%, and 24.7% moved during the first, second, and third trimester, respectively. Most movers (97.3%) moved once with a mean distance of 3.75 km (range: 1-109 km). More than half (66.1%) of the movers moved within 3 km, 13.9% moved 3-10 km, and 20.0% moved > 10 km. Pregnant women who were > 30 years or multiparous, or who had maternal complications were less likely to have moved during pregnancy. In addition, movers were less likely to deliver infants with birth defects, preterm births, and low birth weight. CONCLUSIONS Residential mobility was significantly associated with several maternal characteristics and complications during pregnancy. The study also showed a lower likelihood of adverse birth outcomes among movers than non-movers, suggesting that moving might be related to reduce exposure to environmental hazards. These results confirm the hypothesis that residential mobility may be important with respect to exposure misclassification and that this misclassification may vary by subpopulations.
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Affiliation(s)
- Zhongfeng Tang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Hanru Zhang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Haiya Bai
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Ya Chen
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Nan Zhao
- Yale University School of Public Health, 60 College Street, New Haven, CT 06510, USA
| | - Min Zhou
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Hongmei Cui
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Catherine Lerro
- Yale University School of Public Health, 60 College Street, New Haven, CT 06510, USA
| | - Xiaojuan Lin
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Ling Lv
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Chong Zhang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Honghong Zhang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Ruifeng Xu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Daling Zhu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Yun Dang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Xudong Han
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Xiaoying Xu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Ru Lin
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Tingting Yao
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Jie Su
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Bin Ma
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Xiaohui Liu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Yueyuan Wang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Wendi Wang
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Sufen Liu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Jiajun Luo
- Yale University School of Public Health, 60 College Street, New Haven, CT 06510, USA
| | - Huang Huang
- Yale University School of Public Health, 60 College Street, New Haven, CT 06510, USA
| | - Jiaxin Liang
- Yale University School of Public Health, 60 College Street, New Haven, CT 06510, USA
| | - Min Jiang
- School of Public Health, Sichuan University, Chengdu, Sichuan, China
| | - Weitao Qiu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Michelle L Bell
- Yale University School of Forestry and Environmental Studies, New Haven, CT, USA
| | - Jie Qiu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China
| | - Qing Liu
- Gansu Provincial Maternity and Child Care Hospital, 143 North Road, Qilihe District, Lanzhou, Gansu Province 730050, China.
| | - Yawei Zhang
- Yale University School of Public Health, 60 College Street, New Haven, CT 06510, USA.
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12
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Ji Y, Zhao X, Wang Z, Liu S, Shen Y, Chang C. Mobility patterns and associated factors among pregnant internal migrant women in China: a cross-sectional study from a National Monitoring Survey. BMC Pregnancy Childbirth 2018; 18:165. [PMID: 29764425 PMCID: PMC5952471 DOI: 10.1186/s12884-018-1813-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 04/30/2018] [Indexed: 11/26/2022] Open
Abstract
Background Residential instability during pregnancy has been linked to poor health outcomes. As a first step toward providing better health care to pregnant migrant women, the size and characteristics of this population and factors associated with mobility during pregnancy should be studied. Methods Using the “Monitoring Data of Chinese Migrants” for 2012, from the Chinese National Population and Family Planning Commission, this study explored mobility patterns during pregnancy and associated factors among migrants within China. From a library of 158,556 participants, two subsamples were selected. Percentages, with chi-squared tests, and means and standard deviations, with ANOVAs, were adopted to describe mobility patterns during pregnancy (always staying in sending area, mainly staying in sending area, mainly staying in receiving area, and always staying in receiving area) and delivery location choice. Logistic regression analysis was used to explore the associated factors. Results We found that the percentage of migrants always or mainly staying in receiving areas during pregnancy rose from nearly 40% in 1985 to more than 80% in 2012, while the percentage of migrants who were mobile between receiving and sending areas during pregnancy fluctuated between 30 and 40% before 1995, and between 40 and 45% after 1995, decreasing to around 40% after 2008. The percentage of respondents who chose to deliver in receiving areas fluctuated but increased from 10% in 1985 to more than 50% in 2011. Among respondents who had delivered during the last year of the survey period, families with older pregnant women (OR = 1.09, 95% CI 1.05–1.13), their own housing (OR = 5.66, 95% CI 2.45–13.05), longer time in the receiving area (OR = 1.14, 95% CI 1.09–1.20), and strong will to integrate (OR = 1.32, 95% CI 1.15–1.51) always stayed in the receiving area during pregnancy, rather than the sending area, and families with broadly similar characteristics were inclined to choose the receiving area for their delivery. Conclusions The mobility patterns of pregnant migrant women in China have been changing in recent years, with the percentage of them staying in receiving areas during pregnancy and delivering there increasing. Individual and family characteristics were also associated with mobility patterns and delivery location choice. Electronic supplementary material The online version of this article (10.1186/s12884-018-1813-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ying Ji
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Xiaoping Zhao
- Service Center for Immigrant of National Health and Family Planning Commission of China, Beijing, China
| | - Zhili Wang
- China Population and Development Research Center, Beijing, China
| | - Shenglan Liu
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Yang Shen
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Chun Chang
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
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13
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Kelly B, Mason D, Petherick ES, Wright J, Mohammed MA, Bates C. Maternal health inequalities and GP provision: investigating variation in consultation rates for women in the Born in Bradford cohort. J Public Health (Oxf) 2018; 39:e48-e55. [PMID: 27412173 DOI: 10.1093/pubmed/fdw064] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background The 'Five Year Forward View' (NHS England) calls for a radical upgrade in public health provision. Inequalities in maternal health may perpetuate general patterns of health inequalities across generations; therefore equitable access to general practice (GP) provision during maternity is important. This paper explores variation in GP consultation rates for disadvantaged mothers. Method Data from the Born in Bradford cohort (around 12 000 women), combined with GP records and GP practice variables, were modelled to predict GP consultation rates, before and after adjusting for individual health and GP provision. Results Observed GP consultation rates are higher for women in materially deprived neighbourhoods and Pakistani women. However these groups were found to consult less often after controlling for individual health. This difference, around one appointment per year, is 'explained' by the nature of GP provision. Women in practices with a low GP to patient ratio had around 09 fewer consultations over the six year period compared to women in practices with the highest ratio. Conclusions Equitable access to GP services, particularly for women during the maternal period, is essential for tackling deep-rooted health inequalities. Future GP funding should take account of neighbourhood material deprivation to focus resources on areas of the greatest need.
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Affiliation(s)
- Brian Kelly
- Bradford Institute for Health Research, Bradford Teaching Hospitals Foundation Trust, BradfordBD9 6RJ UK
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals Foundation Trust, BradfordBD9 6RJ UK
| | - Emily S Petherick
- School of Sport, Exercise and Health Sciences, Loughborough University, LeicestershireLE11 3TU UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals Foundation Trust, BradfordBD9 6RJ UK
| | - Mohammed A Mohammed
- Healthcare Quality and Effectiveness, Faculty of Health Studies, University of Bradford, BradfordBD7 1DP UK
| | - Chris Bates
- Data and Analytics Informatics & Research, TPP, Mill House, Troy Road, LeedsLS18 5TN UK
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14
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Smith RB, Fecht D, Gulliver J, Beevers SD, Dajnak D, Blangiardo M, Ghosh RE, Hansell AL, Kelly FJ, Anderson HR, Toledano MB. Impact of London's road traffic air and noise pollution on birth weight: retrospective population based cohort study. BMJ 2017; 359:j5299. [PMID: 29208602 PMCID: PMC5712860 DOI: 10.1136/bmj.j5299] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Objective To investigate the relation between exposure to both air and noise pollution from road traffic and birth weight outcomes.Design Retrospective population based cohort study.Setting Greater London and surrounding counties up to the M25 motorway (2317 km2), UK, from 2006 to 2010.Participants 540 365 singleton term live births.Main outcome measures Term low birth weight (LBW), small for gestational age (SGA) at term, and term birth weight.Results Average air pollutant exposures across pregnancy were 41 μg/m3 nitrogen dioxide (NO2), 73 μg/m3 nitrogen oxides (NOx), 14 μg/m3 particulate matter with aerodynamic diameter <2.5 μm (PM2.5), 23 μg/m3 particulate matter with aerodynamic diameter <10 μm (PM10), and 32 μg/m3 ozone (O3). Average daytime (LAeq,16hr) and night-time (Lnight) road traffic A-weighted noise levels were 58 dB and 53 dB respectively. Interquartile range increases in NO2, NOx, PM2.5, PM10, and source specific PM2.5 from traffic exhaust (PM2.5 traffic exhaust) and traffic non-exhaust (brake or tyre wear and resuspension) (PM2.5 traffic non-exhaust) were associated with 2% to 6% increased odds of term LBW, and 1% to 3% increased odds of term SGA. Air pollutant associations were robust to adjustment for road traffic noise. Trends of decreasing birth weight across increasing road traffic noise categories were observed, but were strongly attenuated when adjusted for primary traffic related air pollutants. Only PM2.5 traffic exhaust and PM2.5 were consistently associated with increased risk of term LBW after adjustment for each of the other air pollutants. It was estimated that 3% of term LBW cases in London are directly attributable to residential exposure to PM2.5>13.8 μg/m3during pregnancy.Conclusions The findings suggest that air pollution from road traffic in London is adversely affecting fetal growth. The results suggest little evidence for an independent exposure-response effect of traffic related noise on birth weight outcomes.
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Affiliation(s)
- Rachel B Smith
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, London, UK
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
| | - Sean D Beevers
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - David Dajnak
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
| | - Rebecca E Ghosh
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Anna L Hansell
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, London, UK
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Frank J Kelly
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, London, UK
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - H Ross Anderson
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mireille B Toledano
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, London, UK
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15
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How do moving and other major life events impact mental health? A longitudinal analysis of UK children. Health Place 2017; 46:257-266. [PMID: 28666235 DOI: 10.1016/j.healthplace.2017.06.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 06/06/2017] [Accepted: 06/22/2017] [Indexed: 11/22/2022]
Abstract
Research has suggested that children who move home report poorer mental health than those who remain residentially stable. However, many previous studies have been based on cross sectional data and have failed to consider major life events as confounders. This study uses longitudinal data from ALSPAC, a UK population based birth cohort study, and employs within-between random effect models to decompose the association between moving in childhood and poor mental health. Results suggest that while unobserved between-individual differences between mobile and non-mobile children account for a large portion of this association, within-individual differences remain and indicate that moving may have a detrimental impact upon subsequent mental health. There is heterogeneity in children's response to moving, suggesting that a dichotomy of movers vs stayers is overly simplistic.
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16
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On the move: Exploring the impact of residential mobility on cannabis use. Soc Sci Med 2016; 168:239-248. [DOI: 10.1016/j.socscimed.2016.04.036] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Revised: 04/13/2016] [Accepted: 04/28/2016] [Indexed: 11/24/2022]
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Agostini F, Neri E, Salvatori P, Dellabartola S, Bozicevic L, Monti F. Antenatal depressive symptoms associated with specific life events and sources of social support among Italian women. Matern Child Health J 2016; 19:1131-41. [PMID: 25303805 DOI: 10.1007/s10995-014-1613-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
This study aimed to identify different kinds of stressful life events and social support associated with antenatal depressive symptoms in a sample of pregnant Italian women. We conducted the study at a primary health-care centre in an urban area (northeast Italy). Mainly recruited at antenatal classes, 404 eligible pregnant women completed a socio-demographic questionnaire that included questions about the present pregnancy, the Edinburgh Depression Scale (EDS) to estimate the prevalence of depressive symptoms, the Multidimensional Scale of Perceived Social Support and List of Threatening Experiences Questionnaire to investigate the quality and nature of social support and recent negative life events. Of the 404 women, 60 (14.9 %) scored 13 or higher on the EDS. This group reported significantly lower social support from various sources-family, friends, and significant others; only in primiparous women were depressive symptoms significantly related to lower support from friends. Women with EDS scores equal or higher than 13 also reported a higher occurrence of recent stressful life events-specifically, death or a serious problem with a close friend or relative, unemployment, financial problems, and moving or housing difficulties. Regression analyses showed that women with high levels of social support or with a positive experience of pregnancy were less likely to experience antenatal depressive symptoms. Our results underscore the associations among antenatal depression, specific life stressors, and low social support from various sources. Clinical attention to these psychosocial correlates is recommended toward detecting vulnerability to antenatal depressive symptoms.
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Affiliation(s)
- Francesca Agostini
- Department of Psychology, University of Bologna, Viale Berti Pichat 5, 40127, Bologna, Italy,
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18
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Dillon G, Hussain R, Kibele E, Rahman S, Loxton D. Influence of Intimate Partner Violence on Domestic Relocation in Metropolitan and Non-Metropolitan Young Australian Women. Violence Against Women 2016; 22:1597-1620. [PMID: 26902675 DOI: 10.1177/1077801216628689] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Data from a national, population-based longitudinal study of Australian women (26-34 years) were analyzed to investigate the association between domestic relocation and multiple explanatory factors, namely intimate partner violence (IPV), metropolitan versus non-metropolitan residence, education, income, housing tenure, number of children, and changes in relationship status. Experience of IPV in the past 12 months was significantly associated with increased odds of domestic relocation. This association remained significant after controlling for age, social support, area of residence, income, number of children, education, and housing situation. Change in relationship status attenuated the association between recent IPV and domestic relocation. Metropolitan versus non-metropolitan residence had no major influence on these results.
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Affiliation(s)
- Gina Dillon
- University of New England, Armidale, New South Wales, Australia
| | - Rafat Hussain
- University of New England, Armidale, New South Wales, Australia
| | - Eva Kibele
- University of Groningen, The Netherlands
| | - Saifur Rahman
- University of New England, Armidale, New South Wales, Australia
| | - Deborah Loxton
- University of Newcastle, Callaghan, New South Wales, Australia
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Kendall GM, Wakeford R, Bunch KJ, Vincent TJ, Little MP. Residential mobility and associated factors in relation to the assessment of exposure to naturally occurring radiation in studies of childhood cancer. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2015; 35:835-868. [PMID: 26512630 DOI: 10.1088/0952-4746/35/4/835] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Migration, that is the study subjects moving from one residential address to another, is a complication for epidemiological studies where exposures to the agent of interest depend on place of residence [corrected]. In this paper we explore migration in cases from a large British case-control study of childhood cancer and natural background radiation. We find that 44% of cases had not moved house between birth and diagnosis, and about two-thirds were living within 2 km of their residence at birth. The estimated dose at the diagnosis address was strongly correlated with that at the birth address, suggesting that use of just the birth address in this case-control study does not lead to serious bias in risk estimates. We also review other individual-based studies of naturally occurring radiation, with particular emphasis on those from Great Britain. Interview-based case-control and cohort studies can potentially establish full residential histories for study subjects and make direct measurements of radiation levels in the dwellings in question. However, in practice, because of study size and difficulties in obtaining adequate response rates, interview-based studies generally do not use full residential histories, and a substantial proportion of dose estimates often derive from models rather than direct measurements. More seriously, problems of incomplete response may lead to bias, not just to loss of power. Record-based case-control studies, which do not require direct contact with study subjects, avoid such problems, but at the expense of having only model-based exposure estimates that use databases of measurements.
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Affiliation(s)
- G M Kendall
- Cancer Epidemiology Unit, University of Oxford, Richard Doll Building, Old Road Campus, Headington, Oxford, OX3 7LF, UK
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20
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Mueller W, Gilham C. Childhood leukemia and proximity to nuclear power plants: A systematic review and meta-analysis. J Cancer Policy 2015. [DOI: 10.1016/j.jcpo.2015.10.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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Green MA, Subramanian S, Vickers D, Dorling D. Internal migration, area effects and health: Does where you move to impact upon your health? Soc Sci Med 2015; 136-137:27-34. [DOI: 10.1016/j.socscimed.2015.05.011] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Tunstall H, Shortt NK, Pearce JR, Mitchell RJ. Difficult Life Events, Selective Migration and Spatial Inequalities in Mental Health in the UK. PLoS One 2015; 10:e0126567. [PMID: 26018595 PMCID: PMC4446101 DOI: 10.1371/journal.pone.0126567] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Accepted: 04/02/2015] [Indexed: 11/18/2022] Open
Abstract
Objective Research has indicated that people moving towards neighbourhoods with disadvantaged socio-economic status have poor health, in particular mental health, but the reasons for this are unclear. This study aims to assess why people moving towards more socio-economically deprived areas have poor mental health. It focuses upon the role of difficult life events that may both trigger moves and damage mental health. This study investigates how mental health and socio-spatial patterns of mobility vary between people moving following difficult life events and for other reasons. Methods Longitudinal analysis of British Household Panel Survey data describing adults’ moves between annual survey waves, pooled over ten years, 1996-2006 (N=122,892 observations). Respondents were defined as ‘difficult life event movers’ if they had experienced relationship breakdown, housing eviction/repossession, or job loss between waves. Respondents were categorised as moving to more or less deprived quintiles using their Census Area Statistic residential ward Carstairs score. Mental health was indicated by self-reported mental health problems. Binary logistic regression models of weighted data were adjusted for age, sex, education and social class. Results The migration rate over one year was 8.5%; 14.1% of movers had experienced a difficult life event during this time period. Adjusted regression model odds of mental health problems among difficult life event movers were 1.67 (95% CI 1.35-2.07) relative to other movers. Odds of difficult life events movers, compared to other movers, moving to a less deprived area, relative to an area with a similar level of deprivation, were 0.70 (95% CI 0.58-0.84). Odds of mental health problems among difficult life event movers relocating to more deprived areas were highly elevated at 2.40 (95% CI 1.63-3.53), relative to stayers. Conclusion Difficult life events may influence health selective patterns of migration and socio-spatial trajectories, reducing moves to less deprived neighbourhoods among people with mental illness.
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Affiliation(s)
- Helena Tunstall
- Centre for Research on Environment, Society and Health, Institute of Geography, University of Edinburgh, Edinburgh, United Kingdom
- * E-mail:
| | - Niamh K. Shortt
- Centre for Research on Environment, Society and Health, Institute of Geography, University of Edinburgh, Edinburgh, United Kingdom
| | - Jamie R. Pearce
- Centre for Research on Environment, Society and Health, Institute of Geography, University of Edinburgh, Edinburgh, United Kingdom
| | - Richard J. Mitchell
- Centre for Research on Environment, Society and Health, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
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Tunstall H, Mitchell R, Pearce J, Shortt N. The general and mental health of movers to more- and less-disadvantaged socio-economic and physical environments within the UK. Soc Sci Med 2014; 118:97-107. [DOI: 10.1016/j.socscimed.2014.07.038] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2013] [Revised: 04/05/2014] [Accepted: 07/16/2014] [Indexed: 11/24/2022]
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Tunstall H, Pearce JR, Shortt NK, Mitchell RJ. Residential mobility and the association between physical environment disadvantage and general and mental health. J Public Health (Oxf) 2014; 37:563-72. [PMID: 25174040 DOI: 10.1093/pubmed/fdu058] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Selective migration may influence the association between physical environments and health. This analysis assessed whether residential mobility concentrates people with poor health in neighbourhoods of the UK with disadvantaged physical environments. METHODS Data were from the British Household Panel Survey. Moves were over 1 year between adjacent survey waves, pooled over 10 pairs of waves, 1996-2006. Health outcomes were self-reported poor general health and mental health problems. Neighbourhood physical environment was defined using the Multiple Environmental Deprivation Index (MEDIx) for wards. Logistic regression analysis compared risk of poor health in MEDIx categories before and after moves. Analyses were stratified by age groups 18-29, 30-44, 45-59 and 60+ years and adjusted for age, sex, marital status, household type, housing tenure, education and social class. RESULTS The pooled data contained 122 570 observations. 8.5% moved between survey waves but just 3.0% changed their MEDIx category. In all age groups odds ratios for poor general and mental health were not significantly increased in the most environmentally deprived neighbourhoods following moves. CONCLUSIONS Over a 1-year time period residential moves between environments with different levels of multiple physical deprivation were rare and did not significantly raise rates of poor health in the most deprived areas.
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Affiliation(s)
- H Tunstall
- Centre for Research on Environment, Society and Health, Institute of Geography and the Lived Environment, Geography Building, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
| | - J R Pearce
- Centre for Research on Environment, Society and Health, Institute of Geography and the Lived Environment, Geography Building, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
| | - N K Shortt
- Centre for Research on Environment, Society and Health, Institute of Geography and the Lived Environment, Geography Building, University of Edinburgh, Drummond Street, Edinburgh EH8 9XP, UK
| | - R J Mitchell
- Centre for Research on Environment, Society and Health, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Gartnavel Royal Hospital, 1055 Great Western Road, Glasgow G12 0XH, UK
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Palmer SR, Evans A, Broughton H, Huddart S, Drayton M, Rankin J, Draper ES, Cameron A, Paranjothy S. The role of maternal stress in early pregnancy in the aetiology of gastroschisis: an incident case control study. PLoS One 2013; 8:e80103. [PMID: 24260340 PMCID: PMC3832654 DOI: 10.1371/journal.pone.0080103] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 10/07/2013] [Indexed: 12/04/2022] Open
Abstract
Objective The incidence of gastroschisis, a congenital anomaly where the infant abdominal wall is defective and intestines protrude from the abdominal cavity, is increasing in many countries. The role of maternal stress in some adverse birth outcomes is now well established. We tested the hypothesis that major stressful life events in the first trimester are risk factors for gastroschisis, and social support protective, in a case-control study in the United Kingdom. Methods Gastroschisis cases and three controls per case (matched for maternal age) were identified at routine 18-20 week fetal anomaly ultrasound scan, in 2007-2010. Face to face questionnaire interviews were carried out during the antenatal period (median 24 weeks gestation) asking about serious stressful events and social support in the first trimester. Data were analysed using conditional logistic regression. Results Two or more stressful life events in the first trimester (adjusted OR 4.9; 95% CI 1.2-19.4), and moving address in the first trimester (aOR 4.9; 95% CI 1.7-13.9) were strongly associated with risk of gastroschisis, independent of behavioural risk factors including smoking, alcohol, and poor diet. Perceived availability of social support was not associated with reduced risk of gastroschisis (aOR 0.8; 95% CI 0.2-3.1). Conclusions Stressful maternal life events in the first trimester of pregnancy including change of address were strongly associated with a substantial increase in the risk of gastroschisis, independent of stress related high risk behaviours such as smoking, alcohol consumption and poor diet. This suggests that stress pathways are involved in the aetiology of gastroschisis.
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Affiliation(s)
- Stephen R. Palmer
- Cochrane Institute of Primary Care and Public Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Annette Evans
- Cochrane Institute of Primary Care and Public Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Hannah Broughton
- Cochrane Institute of Primary Care and Public Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Simon Huddart
- Cardiff and Vale University Health Board, Cardiff, United Kingdom
| | - Mark Drayton
- Cardiff and Vale University Health Board, Cardiff, United Kingdom
| | - Judith Rankin
- Institute of Health and Society, Newcastle University, Newcastle, United Kingdom
| | - Elizabeth S. Draper
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Alan Cameron
- The University of Glasgow, Glasgow, United Kingdom
- The Ian Donald Fetal Medicine Unit, Southern General Hospital, Glasgow, United Kingdom
| | - Shantini Paranjothy
- Cochrane Institute of Primary Care and Public Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
- * E-mail:
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Saadeh FB, Clark MA, Rogers ML, Linkletter CD, Phipps MG, Padbury JF, Vivier PM. Pregnant and moving: understanding residential mobility during pregnancy and in the first year of life using a prospective birth cohort. Matern Child Health J 2013; 17:330-43. [PMID: 22415811 DOI: 10.1007/s10995-012-0978-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
To examine residential mobility (i.e., moving) during pregnancy and in the first year of an infant's life using a large, prospective birth cohort in Rhode Island. Participants were recruited from Women and Infants Hospital of Rhode Island between January 5, 2009 and March 19, 2009. Residential histories were collected from mothers in-person immediately post-partum and by phone at 7 months and at 13 months post-partum. Of 1,040 mothers interviewed at birth, 71% (n = 740) completed the 13 month follow-up interview. Forty-one percent of mothers (n = 300) moved at least once between conception and 1 year post-partum, with the number of moves ranging from 0 to 8. Among movers, 69.0% moved once, 21.0% moved twice, and 10.0% moved three or more times. Mothers who moved tended to be younger, have fewer children, were not White, and had lower household incomes than those who did not move. Mothers who moved during pregnancy had 2.05 (95% CI: 1.40-2.98) times the odds of moving post-partum than mothers who had not moved in the antenatal period. There were statistical differences across socio-demographic groups with regard to when, where, and why mothers moved. Forty percent of movers during pregnancy (n = 61) moved for at least one negative reason, while 32.2% of movers during infancy (n = 64) relocated under negative circumstances. A substantial proportion of mothers moved pre- and post-partum, frequently under negative circumstances. Study findings have important implications for obstetric and pediatric providers who seek to understand, retain, and improve the health of their patient populations.
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Affiliation(s)
- Frances B Saadeh
- Center for Population Health and Clinical Epidemiology, Brown University, Providence, RI, USA.
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Bell ML, Belanger K. Review of research on residential mobility during pregnancy: consequences for assessment of prenatal environmental exposures. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2012; 22:429-38. [PMID: 22617723 PMCID: PMC3543155 DOI: 10.1038/jes.2012.42] [Citation(s) in RCA: 178] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2011] [Revised: 10/03/2011] [Accepted: 10/05/2011] [Indexed: 05/17/2023]
Abstract
Studies on environmental exposures during pregnancy often have limited residential history (e.g., at delivery), potentially introducing exposure misclassification. We reviewed studies reporting residential mobility during pregnancy to summarize current evidence and discuss research implications. A meaningful quantitative combination of results (e.g., meta-analysis), was infeasible owing to variation in study designs. Fourteen studies were identified, of which half were from the US. Most were case-control studies examining birth defects. Residential history was typically assessed after delivery. Overall mobility rates were 9-32% and highest in the second trimester. Mobility generally declined with age, parity, and socioeconomic status, although not consistently. Married mothers moved less frequently. Findings were dissimilar by race, smoking, or alcohol use. On the basis of the few studies reporting distance moved, most distances were short (median often <10 km). Results indicate potential misclassification for environmental exposures estimated with incomplete residential information. This misclassification could be associated with potential confounders, such as socioeconomics, thereby affecting risk estimates. As most moves were short distances, exposures that are homogenous within a community may be well estimated with limited residential data. Future research should consider the implications of residential mobility during pregnancy in relation to the exposure's spatial heterogeneity and factors associated with the likelihood of moving and distance moved.
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Affiliation(s)
- Michelle L Bell
- Yale University, School of Forestry and Environmental Studies, New Haven, CT 06511, USA.
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Busacker A, Kasehagen L. Association of residential mobility with child health: an analysis of the 2007 National Survey of Children's Health. Matern Child Health J 2012; 16 Suppl 1:S78-87. [PMID: 22527774 DOI: 10.1007/s10995-012-0997-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
To describe the association of residential mobility with child health. We conducted descriptive, bivariate, and multivariable analyses of data from 63,131 children, 6-17 years, from the 2007 National Survey of Children's Health. Logistic regression was used to explore the association of residential mobility with child health and measures of well-being. Analyses were carried out using SAS-callable SUDAAN to appropriately weight estimates and adjust for the complex sampling design. After adjusting for age, race/ethnicity, presence of a special health care need, family structure, parental education, poverty level, and health insurance status, children who moved ≥ 3 times were more likely to have poorer reported overall physical (AOR 1.21 [95 %CI: 1.01-1.46]) and oral health status (AOR 1.31 [95 % CI: 1.15-1.49]), and ≥ 1 moderate/severe chronic conditions (AOR 1.40 [95 % CI: 1.19-1.65]) than children who had no lifetime moves. When compared to children who had never moved, children who moved ≥ 3 times were more likely to be uninsured/have periods of no coverage (AOR 1.35; 95 % CI: 0.98-1.87) and lack a medical home (AOR 1.16, 95 % CI: 1.04-1.31). None of the outcomes were statistically significant for children who moved fewer than 3 times. Clinicians need to be aware that children who move frequently may lack stable medical homes and consistent coverage increasing their risk of poor health outcomes and aggravation of mild or underlying chronic conditions. Public health systems could provide the necessary link between parents and clinicians to ensure that continuous, coordinated care is established for children who move frequently.
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Brown D, Benzeval M, Gayle V, Macintyre S, O'Reilly D, Leyland AH. Childhood residential mobility and health in late adolescence and adulthood: findings from the West of Scotland Twenty-07 Study. J Epidemiol Community Health 2012; 66:942-50. [PMID: 22315239 PMCID: PMC3433221 DOI: 10.1136/jech-2011-200316] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background The relationship between childhood residential mobility and health in the UK is not well established; however, research elsewhere suggests that frequent childhood moves may be associated with poorer health outcomes and behaviours. The aim of this paper was to compare people in the West of Scotland who were residentially stable in childhood with those who had moved in terms of a range of health measures. Methods A total of 850 respondents, followed-up for a period of 20 years, were included in this analysis. Childhood residential mobility was derived from the number of addresses lived at between birth and age 18. Multilevel regression was used to investigate the relationship between childhood residential mobility and health in late adolescence (age 18) and adulthood (age 36), accounting for socio-demographic characteristics and frequency of school moves. The authors examined physical health measures, overall health, psychological distress and health behaviours. Results Twenty per cent of respondents remained stable during childhood, 59% moved one to two times and 21% moved at least three times. For most health measures (except physical health), there was an increased risk of poor health that remained elevated for frequent movers after adjustment for socio-demographic characteristics and school moves (but was only significant for illegal drug use). Conclusions Risk of poor health was elevated in adolescence and adulthood with increased residential mobility in childhood, after adjusting for socio-demographic characteristics and school moves. This was true for overall health, psychological distress and health behaviours, but physical health measures were not associated with childhood mobility.
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Affiliation(s)
- D Brown
- MRC/CSO Social and Public Health Sciences Unit, Glasgow, UK.
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Tunstall H, Cabieses B, Shaw R. The characteristics of mobile families with young children in England and the impact of their moves on neighbourhood inequalities in maternal and child health. Health Place 2012; 18:657-70. [PMID: 22361636 DOI: 10.1016/j.healthplace.2011.11.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2011] [Revised: 11/10/2011] [Accepted: 11/27/2011] [Indexed: 11/18/2022]
Abstract
This study compares the health and socio-demographic characteristics of residentially mobile families with young children in England to families that do not move and assesses the impact of their moves upon inequalities in health between neighbourhoods. The analysis uses data from the first two waves of the Millennium Cohort Study describing 9022 cohort members, born in 2000-2002, and their families. A third of the families moved between the waves of the survey when the children were aged nine months and three years. Mobile families moved disproportionately toward less deprived areas but had disadvantaged socio-economic characteristics and poor outcomes for infant's birth weight and accidents and mother's self-rated health, limiting longstanding illness and mental health. Health outcomes were worst among the minority moving to more deprived neighbourhoods. Families' moves moderately increased health inequalities between neighbourhoods with high and low deprivation.
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Affiliation(s)
- Helena Tunstall
- University of York, Department of Health Sciences, York YO10 5DD, UK.
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Lin KC, Huang HC, Bai YM, Kuo PC. Lifetime residential mobility history and self-rated health at midlife. J Epidemiol 2011; 22:113-22. [PMID: 22197767 PMCID: PMC3798589 DOI: 10.2188/jea.je20110055] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background Little research focuses on the influence of lifetime residential mobility on health at midlife. We used a national survey of participant recall of residential mobility to assess this issue and explore the mediating and moderating effects of personal and environmental context. Methods In March 2010, we collected data from people in Taiwan aged 40 to 60 years. Based on the household registration system, data were collected using the population proportional-to-size sampling method and a computer-assisted telephone interview. A total of 2834 participants completed the interview. Based on the 3490 registered households, the overall response rate was 81.2%. Results The mean cumulative frequency of geographic relocation (CFGR) was 3.06 ± 2.78 times and ranged from 0 to 21. After carefully adjusting for the heterogeneity of demographic and socioeconomic propensity, total CFGR was significantly positively associated with negative self-rated mental (odds ratio [OR] and 95% CI for increase per time: 1.06, 1.02–1.16) and physical (OR and 95% CI for increase per time: 1.16, 1.05–1.26) health. Social network support lessened the impact of total CFGR on self-rated mental health. In addition to the primary effect, the interaction (residential environmental satisfaction × total CFGR) significantly moderated negative mental health and negative physical health. Conclusions Lifetime residential mobility history independently influenced midlife health. Social network support and satisfaction with the residential environment in past and current living places further mediated or moderated midlife health. Findings from these different perspectives offer insights for future medical care projects and epidemiologic studies.
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Affiliation(s)
- Kuan-Chia Lin
- School of Nursing, National Taipei University of Nursing and Health Sciences, Taiwan.
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