Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
Article in English | IMSEAR | ID: sea-156441

ABSTRACT

Background. India has the largest global burden of tuberculosis (TB)-related morbidity and mortality as well as undernutrition. Undernutrition impairs cell-mediated immunity, is a risk factor for the development of TB, and has the largest potential impact on the incidence of TB in countries with a high burden of TB. Methods. We refined the national estimate of the population-attributable fraction (PAF) for undernutrition in India to report the first subnational estimates, and stratified these further for age, gender, residence, caste and socioeconomic status. We also compared the PAF related to undernutrition in India with that in 15 other countries with a high burden of TB. We used data on body mass index (BMI) from the National Family Health Survey-3 (NFHS-3), as well as risk estimates for a low BMI from a recently published population-based study which had controlled for several confounders. Results. The overall prevalence of undernutrition in the age group of 15–49 years was 35.6% among women and 34.2% among men. About half (55.4%; 95% CI 27.4– 75.9) of all cases of active TB among women and 54.4% (95% CI 26.5–75.2) of all cases among men were attributable to undernutrition. In the age group of 15–19 years, the PAFs for undernutrition were 62% and 67% among women and men, respectively. The PAF of undernutrition was higher in rural areas, in scheduled castes, scheduled tribes and other backward classes, and in the lower quintiles of the wealth index. The PAF of undernutrition exceeded 50% in most states, and the largest PAFs were seen among women of scheduled tribes in central India. Among countries with a high burden of TB, India had the highest PAF related to undernutrition. Conclusion. Addressing the problem of endemic undernutrition among adolescents and adults in India could complement the current TB control strategy based on case management, and help reduce the incidence of TB in India in line with global targets.


Subject(s)
Adolescent , Adult , Endemic Diseases/statistics & numerical data , Female , Humans , Incidence , India/epidemiology , Male , Malnutrition/epidemiology , Middle Aged , Prevalence , Socioeconomic Factors , Tuberculosis, Pulmonary/epidemiology , Young Adult
2.
J. bras. pneumol ; J. bras. pneumol;37(4): 512-520, jul.-ago. 2011. tab
Article in Portuguese | LILACS | ID: lil-597203

ABSTRACT

OBJETIVO: Estimar o tempo decorrido entre início dos sintomas e diagnóstico de tuberculose pulmonar (tempo do paciente, desde o início dos sintomas até a primeira visita médica, e tempo do sistema de saúde, desde a primeira visita até o diagnóstico) e analisar os fatores associados ao atraso no diagnóstico da tuberculose pulmonar no estado do Rio de Janeiro. MÉTODOS: Inquérito baseado em questionário com 218 pacientes com tuberculose pulmonar, no 2º mês de tratamento, em 20 unidades de saúde e 3 hospitais de oito municípios do estado do Rio de Janeiro. Dados socioeconômicos, dados demográficos, dados sobre o serviço de saúde e história clínica foram coletados. RESULTADOS: A mediana do tempo do início dos sintomas até o diagnóstico foi de 68 dias [intervalo interquartil (II): 35-119 dias]. A mediana do tempo dos pacientes foi de 30 dias (II: 15-60 dias) e a do tempo do sistema de saúde foi de 21 dias (II: 8-47 dias). Um ponto de corte de 21 dias foi adotado para atraso. Os fatores independentes associados ao atraso do paciente foram sexo feminino, tosse e desemprego [OR ajustada (IC95 por cento) = 2,7 (1,3-5,6); 11,6 (2,3-58,8); e 2,0 (1,0-3,8), respectivamente], enquanto aquele associado ao atraso do sistema de saúde foi apenas sexo feminino (OR = 3,2; IC95 por cento: 1,7-6,0). CONCLUSIONS: O diagnóstico tardio da tuberculose pulmonar continua sendo um problema no Rio de Janeiro, possivelmente colaborando para a transmissão e a mortalidade. Mulheres e desprivilegiados socioeconomicamente são mais vulneráveis. Tosse crônica talvez seja subestimada como um problema de saúde pelos pacientes. Campanhas educacionais sobre os sintomas da doença e direcionadas às mulheres podem colaborar para reduzir esse atraso.


OBJECTIVE: To estimate the total time elapsed between symptom onset and diagnosis of pulmonary tuberculosis (patient delay plus health care system delay), analyzing the factors associated with delayed diagnosis in the state of Rio de Janeiro, Brazil. METHODS: We conducted a questionnaire-based survey involving 218 pulmonary tuberculosis patients treated for two months at 20 health care clinics and 3 hospitals in eight cities within the state of Rio de Janeiro. We collected socioeconomic and demographic data, as well as data regarding the health care system and the medical history of the patients. RESULTS: The median time elapsed from the onset of symptoms to diagnosis was 68 days (interquartile range [IQR]: 35-119 days). The median patient delay (time from symptom onset to initial medical visit) was 30 days (IQR: 15-60 days), and the median health care system delay (time from initial medical visit to diagnosis) was 21 days (IQR: 8-47 days). A cut-off point of 21 days was adopted. The factors independently associated with patient delay were female gender, cough, and unemployment [adjusted OR (95 percent CI) = 2.7 (1.3-5.6); 11.6 (2.3-58.8); and 2.0 (1.0-3.8), respectively], whereas only female gender was independently associated with health care system delay (OR= 3.2; 95 percent CI: 1.7-6.0). CONCLUSIONS: Delayed diagnosis of pulmonary tuberculosis remains a problem in Rio de Janeiro, increasing the risk of transmission and mortality, that risk being greater for women and the socioeconomically disadvantaged. Patients might not recognize the significance of chronic cough as a health problem. Tuberculosis education programs targeting women might improve this situation.


Subject(s)
Adult , Female , Humans , Male , Delayed Diagnosis , Delivery of Health Care/statistics & numerical data , Tuberculosis, Pulmonary/diagnosis , Brazil , Cross-Sectional Studies , Health Services Accessibility , Patient Acceptance of Health Care , Socioeconomic Factors , Time Factors , Tuberculosis, Pulmonary/prevention & control
SELECTION OF CITATIONS
SEARCH DETAIL