Association of multidimensional poverty and tuberculosis in India

被引:16
作者
Pathak, Dimpal [1 ]
Vasishtha, Guru [2 ]
Mohanty, Sanjay K. [3 ]
机构
[1] Assam Med Coll & Hosp Dibrugarh, Barbari, Assam, India
[2] Int Inst Populat Sci, Govandi Stn Rd, Mumbai 400088, Maharashtra, India
[3] Int Inst Populat Sci, Dept Dev Studies, Mumbai, Maharashtra, India
关键词
Multidimensional poverty; Non-poor; Poverty; Tuberculosis; India; ECOLOGICAL ANALYSIS;
D O I
10.1186/s12889-021-12149-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Reduction of multidimensional poverty and tuberculosis are priority development agenda worldwide. The SDGs aims to eradicate poverty in all forms (SDG 1.2) and to end tuberculosis (SDG 3.3.2) by 2030. While poverty is increasingly being measured across multiple domains, reduction of tuberculosis has been an integral part of public health programmes. Though literature suggests a higher prevalence of tuberculosis among the economically poor, no attempt has been made to understand the association between multidimensional poverty and tuberculosis in India. The objective of this paper is to examine the association of multidimensional poverty and tuberculosis in India. Methods The unit data from the National Family Health Survey-4, conducted in 2015-16 covering 628,900 households and 2,869,043 individuals across 36 states and union territories of India was used in the analysis. The survey collected information on the self-reported tuberculosis infection of each member of a sample household at the time of the survey. Multidimensional poverty was measured in the domains of education, health, and standard of living, with a set of 10 indicators. The prevalence of tuberculosis was estimated among the multidimensional poor and non-poor populations across the states of India. A binary logistic regression model was used to understand the association of tuberculosis and multidimensional poverty. Results Results suggest that about 29.3% population of India was multidimensional poor and that the multidimensional poverty index was 0.128. The prevalence of tuberculosis among the multidimensional poor was 480 (95% CI: 464-496) per 100,000 population compared to 250 (95% CI: 238-262) among the multidimensional non-poor. The prevalence of tuberculosis among the multidimensional poor was the highest in the state of Kerala (1590) and the lowest in the state of Himachal Pradesh (220). Our findings suggest a significantly higher prevalence of tuberculosis among the multidimensional poor compared to the multidimensional non-poor in most of the states in India. The odds of having tuberculosis among the multidimensional poor were 1.82 times higher (95% CI, 1.73-1.90) compared to the non-poor. Age, sex, smoking, crowded living conditions, caste, religion, and place of residence are significant socio-demographic risk factors of tuberculosis. Conclusion The prevalence of tuberculosis is significantly higher among the multidimensional poor compared to the multidimensional non-poor in India.
引用
收藏
页数:12
相关论文
共 30 条
  • [1] Alkire S., 2018, Multidimensional Poverty Index Winter 2017-18: Brief Methodological Note and Results
  • [2] Alkire S., 2019, Global multidimensional poverty index 2019: Illuminating Inequalities
  • [3] Alkire Sabina., 2010, OPHI Working Papers 36
  • [4] Tuberculosis and poverty: the contribution of patient costs in sub-Saharan Africa - a systematic review
    Barter, Devra M.
    Agboola, Stephen O.
    Murray, Megan B.
    Baernighausen, Till
    [J]. BMC PUBLIC HEALTH, 2012, 12
  • [5] Tuberculosis and race/ethnicity in the United States - Impact of socioeconomic status
    Cantwell, MF
    McKenna, M
    McCray, E
    Onorato, IM
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1998, 157 (04) : 1016 - 1020
  • [6] Co-infection with hepatitis B virus among tuberculosis patients is associated with poor outcomes during anti-tuberculosis treatment
    Chen, Lubiao
    Bao, Dujing
    Gu, Lin
    Gu, Yurong
    Zhou, Liang
    Gao, Zhiliang
    Huang, Yuehua
    [J]. BMC INFECTIOUS DISEASES, 2018, 18
  • [7] Social determinants of health in India: progress and inequities across states
    Cowling, Krycia
    Dandona, Rakhi
    Dandona, Lalit
    [J]. INTERNATIONAL JOURNAL FOR EQUITY IN HEALTH, 2014, 13
  • [8] TUBERCULOSIS - OLD REASONS FOR A NEW INCREASE - SOCIOECONOMIC DEPRIVATION THREATENS TUBERCULOSIS-CONTROL
    DARBYSHIRE, JH
    [J]. BRITISH MEDICAL JOURNAL, 1995, 310 (6985): : 954 - 955
  • [9] Association between smoking and tuberculosis infection: a population survey in a high tuberculosis incidence area
    den Boon, S
    van Lill, SWP
    Borgdorff, MW
    Verver, S
    Bateman, ED
    Lombard, CJ
    Enarson, DA
    Beyers, N
    [J]. THORAX, 2005, 60 (07) : 555 - 557
  • [10] Desalu Olufemi O, 2013, Tuberc Res Treat, V2013, P369717, DOI 10.1155/2013/369717