Journal of Biostatistics and Epidemiology 2016. 2(3):143-151.

Application of spatial Besag, York and Mollie method in estimating interprovincial neck pain prevalence in the National Disease and Health Survey in Iran
Mina Ghorbanpour, Kazem Mohammad, Mirsaeed Yekaninejad, Mohamad-Ali Mansournia, Hooshang Saberi, Mahbubeh Parsaeian, Arron Munggela Foma

Abstract


Background & Aim: Geographical analysis of the frequency of disease incidence can have an important role in the allocation of resources, facilities, and manpower in addition to the formulation and evolution of etiological assumptions. The main objective of this study was to estimate the prevalence of neck pain interprovincially, and set a disease mapping using spatial Besag, York and Mollie (BYM) with regard to surrounding neighborhoods. To reduce the incidence of neck pain in adulthood, identification of risk factors that predict the onset, and continuation of pain in the patients is important.
Methods & Materials: The population examined in this study was extrapolated from records of the “National Disease and Health Survey in Iran,” which had a data plan of a general population survey conducted during 1999-2000, in which adults responded on the incidence of neck pain. The participants were guided by a questionnaire that had an image on which they could identify the exact location of the pain.
Results: Explanatory variables in the model included sex, education level, area of residence, smoking, age and body mass index, and all of them showed a significant relationship with neck pain. To have a better model for a more reliable prediction, we grouped the provinces into divisions to have a more regular shape since the spatial BYM model cannot simultaneously account for population and spatial patterns. In neck pain, prevalence estimated by spatial BYM, Lorestan province with 7.85% had the lowest prevalence while Kurdistan province with 17.27% had the highest prevalence. Furthermore, in the male population, Ghazvin province with 5.53% had the lowest prevalence, whereas Kurdistan province with 10.33% had the highest prevalence of neck pain. Besides, in the female population, the Lorestan province with 10.33% had the lowest prevalence, while the province of Yazd with 22.45% has the highest prevalence of neck pain.
Conclusion: In this study, the model assumed included measurable and immeasurable factors to provide reliable estimates for each province. The application of spatial BYM method with the inclusion of the location of disease occurrence is a more efficient and reliable method for diseases mapping with a higher power of predictability.

Keywords


Neck pain; Disease mapping; Spatial Besag; York and Mollie method

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References


Lawson AB, Biggeri AB, Boehning D, Lesaffre E, Viel JF, Clark A, et al. Disease mapping models: an empirical evaluation. Disease Mapping Collaborative Group. Stat Med 2000; 19(17-18): 2217-41.

Cressie N. Statistics for spatial data. Wiley series in probability and statistics. New York, NY: Wiley-Interscience; 1993. p. 105-209.

Snow J. On the mode of communication of cholera. 1855. Salud Publica Mex 1991; 33(2): 194-201. [In Spanish].

Clayton D, Kaldor J. Empirical Bayes estimates of age- tandardized relative risks for use in disease mapping. Biometrics 1987; 43(3): 671-81.

Besag J, York J, Mollie A. Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math 1991; 43(1): 1-20.

Bernardo JM, Smith AFM. Bayesian theory. New York, NY: Wiley; 1994.

Cressie N, Chan NH. Spatial modeling of regional variables. J Am Stat Assoc 1989; 84(406): 393-401.

Marshall RJ. Mapping disease and mortality rates using empirical Bayes estimators. J R Stat Soc Ser C Appl Stat 1991; 40(2): 283-94.

Tsutakawa RK, Shoop GL, Marienfeld CJ. Empirical Bayes estimation of cancer mortality rates. Stat Med 1985; 4(2): 201-12.

Mollie A, Richardson S. Empirical Bayes estimates of cancer mortality rates using spatial models. Stat Med 1991; 10(1): 95-112.

Torabi M. Bowel disorders and its spatial trend in Manitoba, Canada. BMC Public

Health 2014; 14: 285.

Nieuwenhuijsen MJ, Basagaña X, Dadvand P, Martinez D, Cirach M, Beelen R, et al. Air pollution and human fertility rates. Environ Int 2014; 70: 9-14.

Lawson AB, Biggeri A, Bohning D, Lesaffre E, Viel JF, Bertollini R. Disease Mapping and Risk Assessment for Public Health. New Jersey, NJ: Wiley; 1999.

Kanchanomai S, Janwantanakul P, Pensri P, Jiamjarasrangsi W. Risk factors for the onset and persistence of neck pain in undergraduate students: 1-year prospective cohort study. BMC Public Health 2011; 11: 566.

Makela M, Heliovaara M, Sievers K, Impivaara O, Knekt P, Aromaa A. Prevalence, determinants, and consequences of chronic neck pain in Finland. Am J Epidemiol 1991; 134(11): 1356-67.

Vikat A, Rimpela M, Salminen JJ, Rimpela A, Savolainen A, Virtanen SM. Neck or shoulder pain and low back pain in Finnish adolescents. Scand J Public Health 2000; 28(3): 164-73.

Strine TW, Hootman JM. US national prevalence and correlates of low back andneck pain among adults. Arthritis Rheum 2007; 57(4): 656-65.

Palmer KT, Walker-Bone K, Griffin MJ, Syddall H, Pannett B, Coggon D, et al. Prevalence and occupational associations of neck pain in the British population. Scand J Work Environ Health 2001; 27(1): 49-56.

Akbari M, Azari A. A survey of the prevalence of neck pain in patients who referred to physical therapy clinics of greater Tehran in the first six months of 1377. Razi J Med Sci 2001; 8(25): 256-61. [In Persian].

Clayton DG, Bernardinelli L, Montomoli C. Spatial correlation in ecological analysis. Int J Epidemiol 1993; 22(6): 1193-202.

Bovim G, Schrader H, Sand T. Neck pain in the general population. Spine (Phila Pa 1976) 1994; 19(12): 1307-9.

Mantyselka P, Kautiainen H, Vanhala M. Prevalence of neck pain in subjects with metabolic syndrome--a cross-sectional population-based study. BMC Musculoskelet Disord 2010; 11: 171.

Salminen JJ. The adolescent back. a field survey of 370 Finnish schoolchildren. J Pediatr Orthop 1985; 5(5): 619.


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