Rural-urban disparity in lung function parameters of Nigerian children: effects of socio-economic, nutritional and housing factors

Introduction: The effect of socio-demographic and nutritional factors on lung functions of African children is poorly studied. This study set out to determine the effects of these factors on lung functions of Nigerian school children.Methods: Rural and urban secondary schools students in Ilesa, Nigeria were selected by multistage sampling. The socio-demographic, nutritional status as well as lung function parameters measured using incentive Spirometry (MIR Spirolab III srl, Italy) of the children were obtained and compared among the rural and urban children.Results: A total of 250 children (128 rural and 122 urban) aged 9 to 17 years participated in the study over a 12 month period. Mean (SD) age was 12.6 (1.9) years and Male: Female 1:1.1. The urban children were heavier, taller and have larger lung volumes than their age and sex matched rural counterpart. Stunted rural males [Mean (SD) FVC 1.8 (0.3) L vs. 2.2 (0.6) L t-test = 2.360; p = 0.022], underweight females [Mean (SD) FVC 1.8 (0.4) L vs. 2.2 (0.6) L; t-test = 2.855; p = 0.006] and those exposed to unclean fuel [Mean (SD) FVC 2.1 (0.6) L vs. 2.4 (0.5) L; t-test = 2.079; p = 0.041] had significantly lower lung volumes compared to their counterparts without these conditions.Conclusion: Undernutrition, low socioeconomic class and use of unclean fuels adversely affect the lung functions of Nigerian children. Improved standard of living, use of clean fuel and adequate nutrition may ensure better lung health among these children.Keywords: Lung function test, nutritional status, anthropometrics, urban, rural, school childre

Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

Policies to Promote Photovoltaic Technologies in Developing Countries Considering Bangladesh as a Reference Case <Research Notes>

Electricity is a distant dream for many families in developing countries. Photovoltaic (PV) technology is emerging as an effective tool to fulfill the demand of people in developing countries, especially in rural and isolated areas. However, there are some technical and non-technical barriers, such as institutional, social and cultural issues, which hinder the widespread use of PV systems in rural areas. Solar Home System (SHS) uses a PV module to provide power for lights and small appliances with dissemination potential for sustainable rural livelihood in developing countries. Installing SHS units in rural villages is the most important step, but to ensure lasting success, the program needs to secure upfront approval from the majority of the villagers, including village leaders. An implementation model similar to Infrastructure Development Company Ltd. (IDCOL) in Bangladesh is a good example for other developing countries. The future dissemination potential of SHSs depends on technological advancement and price reduction in installation

The pattern of attrition from an antiretroviral treatment program in Nigeria.

To evaluate the rate and factors associated with attrition of patients receiving ART in tertiary and secondary hospitals in Nigeria.We reviewed patient level data collected between 2007 and 2010 from 11 hospitals across Nigeria. Kaplan-Meier product-limit and Cox regression were used to determine probability of retention in care and risk factors for attrition respectively. Of 6,408 patients in the cohort, 3,839 (59.9%) were females, median age of study population was 33years (IQR: 27-40) and 4,415 (69%) were from secondary health facilities. The NRTI backbone was Stavudine (D4T) in 3708 (57.9%) and Zidovudine (ZDV) in 2613 (40.8%) of patients. Patients lost to follow up accounted for 62.7% of all attrition followed by treatment stops (25.3%) and deaths (12.0%). Attrition was 14.1 (N = 624) and 15.1% (N = 300) in secondary and tertiary hospitals respectively (p = 0.169) in the first 12 months on follow up. During the 13 to 24 months follow up period, attrition was 10.7% (N = 407) and 19.6% (N = 332) in secondary and tertiary facilities respectively (p<0.001). Median time to lost to follow up was 11.1 (IQR: 6.1 to 18.5) months in secondary compared with 13.6 (IQR: 9.9 to 17.0) months in tertiary sites (p = 0.002). At 24 months follow up, male gender [AHR 1.18, 95% CI: 1.01-1.37, P = 0.038]; WHO clinical stage III [AHR 1.30, 95%CI: 1.03-1.66, P = 0.03] and clinical stage IV [AHR 1.90, 95%CI: 1.20-3.02, p = 0.007] and care in a tertiary hospital [AHR 2.21, 95% CI: 1.83-2.67, p<0.001], were associated with attrition.Attrition could potentially be reduced by decentralizing patients on ART after the first 12 months on therapy to lower level facilities, earlier initiation on treatment and strengthening adherence counseling amongst males

Cox Proportional Hazard Models between Attrition and Predictor Variables: 0–12 and 13–24 months on ART.

<p>Cox Proportional Hazard Models between Attrition and Predictor Variables: 0–12 and 13–24 months on ART.</p

Baseline characteristics of the Study population.

*<p>Data available for 6,271 (Tertiary: 1917, Secondary: 4354).</p

Selected health care facilities.

<p>Selected health care facilities.</p

Treatment outcomes for all patients on ART at tertiary and secondary health facilities at 13–24 months follow up.

<p>Treatment outcomes for all patients on ART at tertiary and secondary health facilities at 13–24 months follow up.</p

Treatment outcomes for all patients on ART at tertiary and secondary health facilities at 0–12 months follow up.

<p>Treatment outcomes for all patients on ART at tertiary and secondary health facilities at 0–12 months follow up.</p