Home Assessment of Indoor Microbiome (HAIM) in Relation to Lower Respiratory Tract Infections among Under-Five Children in Ibadan, Nigeria: The Study Protocol

Fakunle, Adekunle; Olusola, Babatunde A.; Jafta, Nkosana; Faneye, Adedayo Omotayo; Heederik, Dick; Smit, Lidwien A M; Naidoo, Rajen N.

doi:10.3390/ijerph17061857

Cited by 8 publications

(9 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found only one study 22 that reported IM assessment using dust sampling technique in addition to air sampling method. Similar studies 44‐47 suggested that settle dust sampling methods such as the electrostatic dustfall collector (EDC) reflect the microbial composition of indoor air. They further emphasized that EDC tends to predict better microbial levels in indoor air and is more reproducible.…”

Section: Discussionmentioning

confidence: 90%

“…Hence, some innovative techniques have been developed to investigate airborne viruses in the indoor environment. These techniques include the SKC AirCheck pumps loaded with filter holders, Sioutas Personal Cascade Impactor Sampler (PCIS), and recently the EDCs coupled with laboratory analysis using the quantitative polymerase chain reaction (qPCR) assay 47,58‐60 . These methods can be applied to comprehensively study the association between exposure to IM including aerosolized viral agents and LRTI risk among U‐5C.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Indoor microbiome and risk of lower respiratory tract infections among children under‐five years: A meta‐analysis

et al. 2020

Self Cite

View full text Add to dashboard Cite

We investigated whether exposure to microbiome within the indoor environment is associated with risk of lower respiratory tract infections (LRTI) among children under 5 years of age. Electronic scientific repositories; PubMed, Scopus, Web of Science, GreenFILE, EMBASE, and Cochrane library were searched and screened through July 2019 for published reports for inclusion in the meta‐analysis. Studies were eligible for inclusion if they reported an adjusted measure of risk for LRTI associated with IM exposure, including the relative risk (RR) or odds ratio (OR) and confidence interval (CI). The pooled OR was computed using the inverse of variance method for weighting. Sensitivity analysis was used to evaluate the effect of individual studies, while heterogeneity was evaluated by I2 statistics using RevMan 5.3. Seven studies were eligible for inclusion in our meta‐analysis. Exposure to a higher concentration of IM was associated with an increased risk of LRTI [OR:1.20 (1.11, 1.33), P < .0001]. The risk was stronger with exposure to total fungal concentration [OR:1.27 (1.13, 1.44), P < .0001] than visible molds [OR:1.20 (1.07, 1.34, P = .001]. Under‐five children exposed to higher IM concentration are likely at increased risk of LRTI. Interventions addressing IM exposure should be considered in the management of LRTI among under‐five children.

show abstract

Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Indoor microbiome and risk of lower respiratory tract infections among children under‐five years: A meta‐analysis

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The study design and sites are detailed elsewhere. 15 , 19 Briefly, 178 cases were matched to 180 controls for sex, age (±3 months), and geographical location. Severe LRTI cases were recruited from three hospitals within Ibadan, namely Otunba-Tunwase Children Emergency Clinic of the University College Hospital, Ade-Oyo Maternity Teaching Hospital, and Oni-memorial Children Hospital.…”

Section: Methodsmentioning

confidence: 99%

Exposure-response relationship of residential dampness and mold damage with severe lower respiratory tract infections among under-five children in Nigeria

Fakunle

Jafta

Okekunle

et al. 2023

Environmental Epidemiology

Self Cite

View full text Add to dashboard Cite

Background: Previous epidemiological studies demonstrated an increased risk of respiratory health effects in children and adults exposed to dampness or mold. This study investigated associations of quantitative indicators of indoor dampness and mold exposure with severe lower respiratory tract infections (LRTI) among children aged 1-59 months in Ibadan, Nigeria. Methods: In-home visits were conducted among 178 children hospitalized with LRTI matched by age (±3 months), sex, and geographical location with 180 community-based children without LRTI. Trained study staff evaluated the indoor environment using a standardized home walkthrough checklist and measured visible dampness and mold damage. Damp-moldy Index (DMI) was also estimated to quantify the level of exposure. Exposure-response relationships of dampness and mold exposure with severe LRTI were assessed using multivariable restricted cubic spline regression models adjusting for relevant child, housing, and environmental characteristics. Results: Severe LRTI cases were more often male than female (61.8%), and the overall mean (SD) age was 7.3 (1.35) months. Children exposed to dampness <0.3 m 2 (odds ratio [OR] = 2.11; 95% confidence interval [CI] = 1. 05, 4.36), and between 0.3 and 1.0 m 2 (OR = 2.34; 95% CI = 1.01, 7.32), had a higher odds of severe LRTI compared with children not exposed to dampness. The restricted cubic spline showed a linear exposure-response association between severe LRTI and residential dampness (P < 0.001) but a nonlinear relationship with DMI (P = 0.01). Conclusions: Residential dampness and DMI were exposure-dependently associated with higher odds of severe LRTI among under-five children. If observed relationships were causal, public health intervention strategies targeted at reducing residential dampness are critically important to mitigate the burden of severe LRTI among under-five children.

show abstract

“…The details of the study protocol, and recruitment procedures have been published elsewhere. [22] At the presenting hospital, children were screened and those who met the eligibility criteria (< 5 years of age; admitted for LRTI; and residing in Ibadan), and whose caregivers gave consent, were included in the study. Diagnosis of LRTI in children was carried out by a paediatrician based on chest radiography including the presence of one or more of the chest radiographic features of patchy, segmental, or lobar consolidation; +/-a positive air bronchogram; and +/-pleural effusion.…”

Section: De Nition and Selection Of Cases And Controlsmentioning

confidence: 99%

Indoor Bacterial and Fungal Aerosols as Predictors of Lower Respiratory Tract Infections Among Under-five Children in Ibadan, Nigeria

Fakunle

Jafta

Smit

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Aim This study aimed to investigate the association between exposure to diverse indoor microbial aerosols and lower respiratory tract infections (LRTI) among children aged 1 to 59 months in Ibadan, Nigeria. Methodology One hundred and seventy-eight (178) hospital-based LRTI cases among under-five children were matched for age (± 3months), sex and geographical location with 180 community-based controls (under-five children without LRTI). Following consent from caregivers of eligible participants, a child’s health questionnaire, clinical proforma and standardized home-walkthrough checklist were used to collect data. Participant homes were visited and sampled for indoor microbial exposures using active sampling approach by Anderson sampler. Indoor microbial count (IMC), total bacterial count (TBC), and total fungal count (TFC) were estimated and dichotomized into high (> median) and low (≤ median) exposures. Alpha diversity measures including richness (R), Shannon (H) and Simpson (D) indices were also estimated. Conditional logistic regression models were used to test association between exposure to indoor microbial aerosols and LRTI risk among under-five children. Results Significantly higher bacterial and fungal diversities were found in homes of cases (R = 3.00; H = 1.04; D = 2.67 and R = 2.56; H = 0.82; D = 2.33) than homes of controls (R = 2.00; H = 0.64; D = 1.80 and R = 1.89; H = 0.55; D = 1.88) respectively. In the multivariate models, higher categories of exposure to lMC (OR = 2.67, 95% CI = 1.44–4.97), TBC (OR = 2.51, 95% CI = 1.36–4.65), TFC (OR = 2.75, 95% CI = 1.54–4.89), bacterial diversity (OR = 1.87, 95% CI = 1.08–3.24) and fungal diversity (OR = 3.00, 95% CI = 1.55–5.79) were independently associated with LRTI risk among under-five children. Conclusions Our study suggests an increased risk of LRTI when children under the age of five years are exposed to high levels of indoor microbial aerosols.

show abstract

Home Assessment of Indoor Microbiome (HAIM) in Relation to Lower Respiratory Tract Infections among Under-Five Children in Ibadan, Nigeria: The Study Protocol

Cited by 8 publications

References 64 publications

Indoor microbiome and risk of lower respiratory tract infections among children under‐five years: A meta‐analysis

Indoor microbiome and risk of lower respiratory tract infections among children under‐five years: A meta‐analysis

Exposure-response relationship of residential dampness and mold damage with severe lower respiratory tract infections among under-five children in Nigeria

Indoor Bacterial and Fungal Aerosols as Predictors of Lower Respiratory Tract Infections Among Under-five Children in Ibadan, Nigeria

Contact Info

Product

Resources

About