| Literature DB >> 28534032 |
Crystal M North1,2, Linda Valeri3,4, Peter W Hunt5, A Rain Mocello6, Jeffrey N Martin5,6, Yap Boum7, Jessica E Haberer8, David R Bangsberg8,9,10, David C Christiani1,2, Mark J Siedner8,9,10.
Abstract
Household air pollution (HAP) and chronic HIV infection are each associated with significant respiratory morbidity. Little is known about relationships between HAP and respiratory symptoms among people living with HIV. The objective of this study was to investigate the relationship between cooking fuel type and chronic respiratory symptoms in study participants from the Uganda AIDS Rural Treatment Outcomes Study. Study participants were enrolled at the time of antiretroviral therapy initiation and seen quarterly from 2005 to 2014 for health-focused questionnaires, CD4 count and HIV viral load. We used multivariable logistic regression and generalised estimating equations, with each study visit as a unit of observation, to investigate relationships between cooking fuel type and chronic respiratory symptoms. We observed an association between cooking with firewood (versus charcoal) and chronic cough among HIV-infected females in rural Uganda (adjusted OR 1.41, 95% CI 1.00-1.99; p=0.047). We did not observe an association between cooking fuel type and respiratory symptoms among males (adjusted OR 0.88, 95% CI 0.47-1.63; p=0.658). Associations between cooking fuel and chronic cough in this HIV-infected cohort may be influenced by sex-based roles in meal preparation. This study raises important questions about relationships between household air pollution, HIV infection and respiratory morbidity.Entities:
Year: 2017 PMID: 28534032 PMCID: PMC5436927 DOI: 10.1183/23120541.00094-2016
Source DB: PubMed Journal: ERJ Open Res ISSN: 2312-0541
Summary characteristics for participants at the enrolment study visit
| 734 | 223 | 511 | ||
| 34 (28–40) | 37 (32–43) | 32 (27–38) | <0.001 | |
| <0.001 | ||||
| Current | 90 (12) | 62 (28) | 28 (5) | |
| Former | 82 (11) | 44 (20) | 37 (7) | |
| Never | 562 (77) | 116 (52) | 446 (87) | |
| Lowest quartile | 235 (32) | 62 (28) | 173 (34) | |
| Second quartile | 173 (24) | 57 (26) | 116 (23) | |
| Third quartile | 177 (24) | 58 (26) | 119 (23) | |
| Highest quartile | 140 (19) | 42 (19) | 98 (19) | |
| 237 (32) | 117 (52) | 120 (23) | <0.001 | |
| 0.001 | ||||
| Charcoal | 297 (40) | 70 (31) | 227 (44) | |
| Firewood | 428 (58) | 149 (67) | 279 (55) | |
| Pulmonary tuberculosis | 60 (8) | 26 (12) | 34 (7) | 0.02 |
| Pneumocystis pneumonia | 38 (5) | 14 (6) | 24 (5) | |
| Cryptococcal pneumonia | 4 (1) | 2 (1) | 2 (<1) | |
| <100 cells·μL−1 | 198 (27) | 73 (33) | 125 (24) | |
| 100–349 cells·μL−1 | 441 (60) | 124 (56) | 317 (62) | |
| 350–499 cells·μL−1 | 59 (8) | 18 (8) | 41 (8) | |
| ≥500 cells·μL−1 | 34 (5) | 7 (3) | 27 (5) | |
| 0.01 | ||||
| ≤10 000 copies·mL−1 | 79 (11) | 14 (6) | 65 (13) | |
| >10 000 copies·mL−1 | 649 (88) | 206 (92) | 443 (87) | |
| 20 (7–28) | 16 (7–28) | 21 (8–28) | ||
| 5 (2–7) | 4 (2–7) | 5 (2–7) |
Data are presented as n (%) or median (interquartile range), unless otherwise stated. #: p-values for comparisons between sexes, calculated using t-test for normally distributed variables, Wilcoxon rank sum testing for non-normally distributed variables and Chi-squared testing for dichotomous and categorical variables; ¶: never-smokers defined as those who did not smoke prior to cohort enrolment and continued not to smoke; former smokers defined as those who smoked prior to cohort enrolment, but did not smoke throughout the duration of the study; current smokers defined as those who smoked at cohort enrolment and continued to smoke throughout the duration of the study; +: constructed following the method of Filmer and Pritchett [9], using the following binary indicator variables: home ownership; land ownership; livestock ownership; presence of the following items (yes/no) in the household: iron, stove, fridge, phone, motorcycle, clock, bed, sofa, bike, television, lantern, cupboard, shoes, car, radio, mattress or electricity; characteristics of the home: flushing toilet, cement wall, cement floor or piped water; §: includes farmer, cook, motorcyclist, brick worker, builder, carpenter, cattle keeper, dry cleaner and sand miner. ns: nonsignificant.
FIGURE 1Frequency of self-reported respiratory symptoms at study visits as a proportion of total study visits.
Adjusted odds ratios (95% CI) for predictors of cough of ≥4 weeks' duration
| 2751 | 778 | 1973 | |
| <30 years | Ref. | Ref. | Ref. |
| 30–39 years | 0.86 (0.61–1.21) | 0.74 (0.32–1.76) | 0.85 (0.59–1.24) |
| 40–49 years | 0.88 (0.59–1.33) | 0.82 (0.32–2.09) | 0.91 (0.58–1.43) |
| ≥50 years | 1.39 (0.80–2.41) | 2.78 (1.01–7.62) | 0.72 (0.32–1.62) |
| 1.18 (0.83–1.69) | |||
| 0.78 (0.57–1.06) | 0.72 (0.42–1.25) | 0.77 (0.53–1.13) | |
| Lowest quartile | Ref. | Ref. | Ref. |
| Second quartile | 0.96 (0.68–1.35) | 1.00 (0.50–2.01) | 0.95 (0.64–1.41) |
| Third quartile | 0.61 (0.42–0.88) | 0.47 (0.21–1.04) | 0.67 (0.44–1.02) |
| Highest quartile | 0.62 (0.42–0.91) | 0.55 (0.24–1.27) | 0.64 (0.41–1.01) |
| Never | Ref. | Ref. | Ref. |
| Former | 0.95 (0.62–1.45) | 0.95 (0.49–1.86) | 0.96 (0.54–1.69) |
| Current | 1.11 (0.65–1.89) | 0.83 (0.39–1.79) | 1.75 (0.81–3.78) |
| <100 cells·µL−1 | 2.16 (1.24–3.77) | 3.20 (0.89–11.42) | 1.75 (0.92–3.32) |
| 100–349 cells·µL−1 | 1.20 (0.76–1.90) | 1.16 (0.36–3.73) | 1.21 (0.74–2.00) |
| 350–499 cells·µL−1 | 1.01 (0.61–1.68) | 1.40 (0.41–4.82) | 0.90 (0.52–1.58) |
| ≥500 cells·µL−1 | Ref. | Ref. | Ref. |
| Undetectable | Ref. | Ref. | Ref. |
| ≤10 000 copies·mL−1 | 1.07 (0.69–1.67) | 0.33 (0.08–1.40) | 1.38 (0.85–2.22) |
| >10 000 copies·mL−1 | 4.59 (3.30–6.38) | 6.48 (3.26–12.89) | 4.37 (2.97–6.42) |
| Charcoal | Ref. | Ref. | Ref. |
| Firewood | 1.25 (0.93–1.69) | 0.90 (0.48–1.67) | 1.41 (1.00–1.99)¶ |
#: includes farmer, cook, motorcyclist, brick worker, builder, carpenter, cattle keeper, dry cleaner and sand miner; ¶: p=0.047; p-value for interaction between cooking source and sex p=0.21.
FIGURE 2a) Proportion of study visits with reported chronic cough among females, stratified by cooking fuel type; b) proportion of study visits with reported chronic cough stratified by viral load; c) proportion of study visits with reported chronic cough stratified by CD4 count.