Socio-economic and household determinants of malaria in adults aged 45 and above: analysis of longitudinal ageing survey in India, 2017–2018
| Autor: | Savitha Chellappan, Gopalan Natarajan, Balasubramani Karuppusamy, Indumathi Mohan, S. K. Behera, Naveen Kumar Kodali, Praveen Balabaskaran Nina |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Male
Aging medicine.medical_specialty Sanitation RC955-962 030231 tropical medicine India Infectious and parasitic diseases RC109-216 Odds Interviews as Topic 03 medical and health sciences 0302 clinical medicine Risk Factors Arctic medicine. Tropical medicine Surveys and Questionnaires parasitic diseases medicine Humans Longitudinal Studies 030212 general & internal medicine Socioeconomics Aged Unclean cooking fuel and malaria LASI Household determinants of malaria Family Characteristics Research Public health Socio-economic determinants of malaria Caste Odds ratio Middle Aged medicine.disease Malaria Infectious Diseases Geography Socioeconomic Factors Tropical medicine Female Parasitology Residence Schedule tribe and malaria |
| Zdroj: | Malaria Journal Malaria Journal, Vol 20, Iss 1, Pp 1-9 (2021) |
| ISSN: | 1475-2875 |
| DOI: | 10.1186/s12936-021-03840-w |
| Popis: | Background Even though malaria cases have drastically come down in the last decade, malaria remains a serious public health concern in many parts of India. National Framework for Malaria Elimination in India (2016–2030) has been launched with the goal to eliminate malaria by 2030. Understanding the socio-economic and household determinants of malaria at the national level will greatly aid India’s malaria elimination efforts. Methods The data from Longitudinal Ageing Survey of India (LASI) Wave 1 (2017–2018) survey comprising 70,671 respondents ≥ 45 years across all the States and Union Territories were used for the analysis. Simple and multiple logistic regressions were used to obtain the unadjusted and adjusted odds ratio respectively of the socio-economic and household variables. Results The major socio-economic variables that increase the likelihood of malaria are caste (‘scheduled tribes’), low education levels and rural residence. The scheduled tribes have 1.8 times higher odds of malaria than the scheduled castes (AOR: 1.8; 95% CI: 1.5–2.1). Respondents with high school education (6–12 grade) (AOR: 0.7; 95% CI: 0.6–0.8) and college education (AOR: 0.5; 95% CI: 0.4–0.6) had a very low risk of malaria than those with no school years. Rural residence and occupation (agriculture and allied jobs) also increases the odds of malaria. The major housing determinants are household size (≥ 6), housing type (kutcha), use of unclean fuel, outside water source, improper sanitation (toilet facilities) and damp wall/ceiling. Conclusions The study has identified the major socio-economic and housing factors associated with malaria in adults aged 45 and above. In addition to vector and parasite control strategies in the tribal dominated regions of India, improving literacy and housing conditions may help India’s malaria elimination efforts. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink