期刊论文详细信息
BMC Public Health
The influence of neighbourhood formality status and socio-economic position on self-rated health among adult men and women: a multilevel, cross sectional, population study from Aleppo, Syria
Martin White4  Tanja Pless-Mulloli3  Wasim Maziak1  Vicky Ryan2  Balsam Ahmad3 
[1] Syrian Centre for Tobacco Studies, Aleppo, Syria;Institute of Health & Society, Newcastle University, Richardson Road, Newcastle upon Tyne NE2 4AX, UK;Newcastle Institute for Research on Sustainability, Newcastle University, Newcastle upon Tyne, UK;Fuse, UKCRC Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
关键词: Gender;    Socioeconomic status;    Neighbourhood;    Formal and informal areas;    Syria;    Self-rated health;    Multilevel modelling;   
Others  :  1162447
DOI  :  10.1186/1471-2458-13-233
 received in 2012-11-30, accepted in 2013-03-13,  发布年份 2013
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【 摘 要 】

Background

There is substantial evidence from high income countries that neighbourhoods have an influence on health independent of individual characteristics. However, neighbourhood characteristics are rarely taken into account in the analysis of urban health studies from developing countries. Informal urban neighbourhoods are home to about half of the population in Aleppo, the second largest city in Syria (population>2.5 million). This study aimed to examine the influence of neighbourhood socioeconomic status (SES) and formality status on self-rated health (SRH) of adult men and women residing in formal and informal urban neighbourhoods in Aleppo.

Methods

The study used data from 2038 survey respondents to the Aleppo Household Survey, 2004 (age 18–65 years, 54.8% women, response rate 86%). Respondents were nested in 45 neighbourhoods. Five individual-level SES measures, namely education, employment, car ownership, item ownership and household density, were aggregated to the level of neighbourhood. Multilevel regression models were used to investigate associations.

Results

We did not find evidence of important SRH variation between neighbourhoods. Neighbourhood average of household item ownership was associated with a greater likelihood of reporting excellent SRH in women; odds ratio (OR) for an increase of one item on average was 2.3 (95% CI 1.3-4.4 (versus poor SRH)) and 1.7 (95% CI 1.1-2.5 (versus normal SRH)), adjusted for individual characteristics and neighbourhood formality. After controlling for individual and neighbourhood SES measures, women living in informal neighbourhoods were less likely to report poor SRH than women living in formal neighbourhoods (OR= 0.4; 95% CI (0.2- 0.8) (versus poor SRH) and OR=0.5; 95%; CI (0.3-0.9) (versus normal SRH).

Conclusions

Findings support evidence from high income countries that certain characteristic of neighbourhoods affect men and women in different ways. Further research from similar urban settings in developing countries is needed to understand the mechanisms by which informal neighbourhoods influence women’s health.

【 授权许可】

   
2013 Ahmad et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Pickett KE, Pearl M: Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health 2001, 55:111-122.
  • [2]Riva M, Gauvin L, Barnett TA: Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998. J Epidemiol Community Health 2007, 61:853-861.
  • [3]Asfar T, Ahmad B, Rastam S, Pless-Mulloli T, Ward KD, Maziak W: Self-rated health and its determinants among adults in Syria: a model from the Middle East. BMC Publ Health 2007, 7:177. BioMed Central Full Text
  • [4]Maziak W: Health in the Middle East. BMJ 2006, 333:815-816.
  • [5]Maziak W: The crisis of health in a crisis ridden region. Int J Public Health 2009, 54:349-355.
  • [6]Maziak W, Asfar T: Physical abuse in low-income women in Aleppo, Syria. Health Care Women Int 2003, 24:313-326.
  • [7]Maziak W, Asfar T, Mzayek F, Fouad FM, Kilzieh N: Sociodemographic correlates of psychiatric morbidity among low income women in Aleppo, Syria. Soc Sci Med 2002, 54:1419-1427.
  • [8]Maziak W, Ward KD, Mzayek F, Rastam S, Bachir ME, Fouad MF, Hammal F, Asfar T, Mock J, Nuwayhid I: Mapping the health and environmental situation in informal zones in aleppo, syria; report from the Aleppo household survey. Int Arch Environ Health 2005, 78(7):547-558.
  • [9]Jabbour S, Yamout R, Hilal J, Nehmeh A: The political, economic, and social context. In Public health in the arab world. Edited by Jabbour S, Giacaman R, Khawaja M, Nuwayhid I. New York: Cambridge University Press; 2012:21-34.
  • [10]Srinivas H: Defining squatter settlements. http://www.gdrc.org/uem/squatters/define-squatter.html webcite (accessed 1 March 2013)
  • [11]UN-Habitat: The challenge of slums: global report on human settlements 2003. Nairobi: UN-Habitat; 2003.
  • [12]Lavinal O: The challenges of urban expansion in Syria: the issue of informal housing. En ville de développement 2008, 79:7-8.
  • [13]Hammal F, Mock J, Ward K, Fouad M, Beech B, Maziak W: Settling with danger: conditions and health problems in peri-urban neighbourhoods in Aleppo. Syria Environ Urban 2005, 17(2):113-125.
  • [14]Ahmad B, Sudermann Y: Syria's Contrasting Neighborhoods: Gentrification and Informal Settlements Juxtaposed. St Andrews Papers on Contemporary Syria. Boulder: Lynne Rienners; 2012.
  • [15]Maziak W, Ward K, Rastam R, Mzayek F, Eissenberg T: Extent of exposure to environmental tobacco smoke (ETS) and its dose–response relation to respiratory health among adults. Respir Res 2005, 6(13):6-13.
  • [16]Leyland A: Socioeconomic gradients in the prevalence of cardiovascular disease in Scotland: the roles of composition and context. J Epidemiol Community Health 2005, 59:779-803.
  • [17]Rasbash J, Browne W, Healey W, Cameron B, Charlton C: MLwiN Version 2.02. London: Institute of Education, Multilevel Models Project; 2005.
  • [18]Pfeffermann P, Skinner C, Holmes D, Goldstein H, Rasbash J: Weighting for unequal selection probabilities in multilevel models. J R Stat Soc Ser B 1998, 60:23-24.
  • [19]Carle A: Fitting multilevel models in complex survey data with design weights: recommendations. BMC Med Res Methodol 2009, 9:49. BioMed Central Full Text
  • [20]Rasbash J, Charlton C, Browne WJ, Healy M, Cameron B: MLwiN Version 2.1. Centre for Multilevel Modelling. UK: University of Bristol; 2009.
  • [21]Browne W, Steele F, Golalizadeh M, Green M: The use of simple reparameterizations to improve the efficiency of Markov Chain Monte Carlo estimation for multilevel models with applications to discrete time survival models. J R Stat Soc Ser A 2009, 172:579-598.
  • [22]Spiegelhalter D, Best N, Carlin B, van der Linde A: Bayesian measures of complexity and fit. J R Stat Soc Ser B 2002, 64:583-639.
  • [23]Snijders T, Bosker R: Multilevel analysis: an introduction to basic and advanced multilevel modelling. London: Sage; 1999.
  • [24]Merlo J, Chaix B, Ohlsson H, Beckman A, Johnell K, Hjerpe P, Råstam L, Larsen K: A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health 2006, 60:290-297.
  • [25]Kavanagh A, Bently R, Turrell G, Broom D, Subramanian S: Does gender modify associations between self rated health and the social and economic characteristics of local environments? J Epidemiol Community Health 2006, 60:490-495.
  • [26]Macintyre S: Inequalities in health: is research gender blind? In Poverty, inequality and health. Edited by Leon D, Walt G. Oxford: Oxford University Press; 2001:283-293.
  • [27]Molinari C, Ahern M, Hendryx M: The relationship of community quality to the health of women and men. Soc Sci Med 1998, 47:1113-1120.
  • [28]Poortinga W, Dunstan FD, Fone DL: Perceptions of the neighbourhood environment and self rated health: a multilevel analysis of the caerphilly health and social needs study. BMC Publ Health 2007, 7:285. BioMed Central Full Text
  • [29]Stafford M, Cummins S, Macintyre S, Ellaway A, Marmot M: Gender differences in the associations between health and neighbourhood environment. Soc Sci Med 2005, 60(8):1661-1903.
  • [30]Diez Roux AV: Next steps in understanding the multilevel determinants of health. J Epidemiol Community Health 2008, 62:957-959.
  • [31]Merlo J, Ohlsson H, Lynch KF, Chaix B, Subramanian V: Individual and collective bodies: using measures of variance and association in contextual epidemiology. J Epidemiol Community Health 2009, 63:1043-1048.
  • [32]Bailis DS, Segall A, Chipperfield JG: Two views of self-rated general health status. Soc Sci Med 2003, 56:203-217.
  • [33]Benyamini Y, Leventhal EA, Leventhal H: Gender differences in processing information for making self-assessments of health. Psychosom Med 2000, 62:354-364.
  • [34]Diez Roux AV: Invited commentary: places, people and health. Am J Epidemiol 2002, 155(6):516-519.
  • [35]O’Campo P: Invited commentary: advancing theory and methods for multilevel models of residential neighborhoods and health. Am J Epidemiol 2003, 157(1):9-13.
  • [36]van Kamp I, van Loon J, Droomers M, de Hollander A: Residential environment and health: a review of methodological and conceptual issues. Rev Environ Health 2004, 19(3–4):381-401.
  • [37]Mujahid MS, Diez Roux AV, Morenoff JD, Raghunathan T: Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. Am J Epidemiol 2007, 165(8):858-867.
  • [38]Diez Roux AV: Multilevel analysis in public health research. Annu Rev Public Health 2000, 21:171-192.
  • [39]Snijders TA, Bosker R: Standard errors and sample sizes in two-level research. J Educ Stat 1993, 19:237-259.
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