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Introduction In the Central African Republic (CAR), HIV/AIDS is the main cause of death in women aged 15–49 years. Increased testing coverage is essential in prevention of HIV/AIDS, especially in areas where conflict hinders access to health care. Socio-economic status (SES) has been shown to be associated with HIV testing uptake. We investigated whether “Provider-initiated HIV testing and counselling” (PITC) could be implemented in a family planning clinic in an active conflict zone in the Central African Republic to reach women of reproductive age and assessed whether socioeconomic status was associated with testing uptake. Methods Women aged 15–49 years were recruited from a free family planning clinic run by Médecins Sans Frontières in the capital Bangui. An asset-based measurement tool was created based on analysis of qualitative in-depth interviews. Measures of socioeconomic status were constructed from the tool, also by using factor analysis. Logistic regression was used to quantify the association between SES and HIV testing uptake (yes/no), while controlling for potential confounders: age, marital status, number of children, education level and head of household. Results A total of 1419 women were recruited during the study period, where 87.7% consented to HIV testing, and 95.5% consented to contraception use. A total of 11.9% had never been tested for HIV previously. Factors negatively associated with HIV testing uptake were: being married (OR = 0.4, 95% CI 0.3–0.5); living in a household headed by the husband as opposed to by another person (OR = 0.4, 95% CI 0.3–0.6), and lower age (OR = 0.96, 95% CI 0.93–0.99). Higher level of education (OR = 1.0, 95% CI 0.97–1.1) and having more children aged under 15 (OR = 0.92, 95% CI 0.81–1.1) was not associated with testing uptake. In multivariable regression, testing uptake was lower in the higher SES groups, but the differences were not significant (OR = 0.80, 95% CI 0.55–1.18). Conclusions The findings show that PITC can be successfully implemented in the patient flow in a family planning clinic, without compromising contraception uptake. Within the PITC framework in a conflict setting, socioeconomic status was not found to be associated with testing uptake in women of reproductive age.

Objective: Norway has a high incidence of forearm fractures, however, the incidence rates based on secondary care registers can be underestimated, as some fractures are treated exclusively in primary care. We estimated the proportion of forearm fracture diagnoses registered exclusively in primary care and assessed the agreement between diagnosis for forearm fractures in primary and secondary care. Design: Quality assurance study combining nationwide data from 2008 to 2019 on forearm fractures registered in primary care (Norwegian Control and Payment of Health Reimbursement) and secondary care (the Norwegian Patient Registry). Setting and patients: Forearm fracture diagnoses in patients aged ≥20 treated in primary care (n = 83,357) were combined with injury diagnoses for in- and outpatients in secondary care (n = 3,294,336). Main outcome measures: Proportion of forearm fractures registered exclusively in primary care, and corresponding injury diagnoses for those registered in both primary and secondary care. Results: Of 189,105 forearm fracture registrations in primary and secondary care, 13,948 (7.4%) were registered exclusively in primary care. The proportion ranged from 4.9% to 13.5% on average between counties, but was higher in some municipalities (>30%). Of 66,747 primary care forearm fractures registered with a diagnosis in secondary care, 62% were incident forearm fractures, 28% follow-up controls, and 10% other fractures or non-fracture injuries. Conclusion: An overall small proportion of forearm fractures were registered only in primary care, but it was larger in some areas of Norway. Failing to include fractures exclusively treated in primary care could underestimate the incidence rates in these areas. Norwegian forearm fracture incidence based on secondary care may be underestimated by not including fractures treated exclusively in primary care. The mean proportion of forearm fractures exclusively handled in primary care is 7% and varies from 5% to 14% between counties. Fractures treated in primary care can be considered for more accurate national incidence rates. Correct fracture diagnosis needs further investigation.

Additional file 1. Directed Acyclic Graphs.

BackgroundA high consumption of ultra-processed foods (UPFs) is often associated with low nutritional quality, but data on associations with biomarkers are scarce. We aimed to explore associations between UPF intake, diet quality, and concentrations of biomarkers of nutrition and inflammation measured in mid-pregnancy.MethodsThis cross-sectional study included n = 2,984 pregnant women recruited during 2002–2008 in the Norwegian Mother, Father, and Child Cohort Study (MoBa). Concentrations of C-reactive protein (CRP) and 21 nutritional biomarkers including carotenes (α-carotene, β-carotene, γ-carotene, α-cryptoxanthin, β-cryptoxanthin, lutein, lycopene), vitamins [α-tocopherol, γ-tocopherol, 25-hydroxyvitamin D (25-OH-D), retinol], creatinine, elements (K, Na, Co, Cu, Mn, Mo, Se, Zn), and ferritin (Fe) were measured in blood and urine collected in mid-pregnancy. Habitual diet in pregnancy was assessed using a validated semi-quantitative food frequency questionnaire. We calculated the relative (%) energy contribution of UPF to overall intake according to the NOVA classification. We also applied a diet quality index (DQI) adapted to assess adherence to Norwegian dietary guidelines (DQI; min–max: 0–110, higher score meaning higher adherence). We present summary statistics for biomarker concentrations and explored associations between UPF intake or the DQI and measured biomarkers using adjusted linear, logistic, and generalized additive regression models.ResultsUltra-processed food intake was positively associated with biomarker concentrations of vitamin E (γ-tocopherol), creatinine, K, and Na [βs: 5.6 to 17% increase in biomarker concentration per interquartile range (IQR) increase in UPF intake] and negatively associated with carotenoids (α-carotene, β-carotene, γ-carotene, α-cryptoxanthin, β-cryptoxanthin, lutein, lycopene), vitamin A, Mo, and Se (βs: −2.1 to −18%). Inversely, high diet quality (i.e., the DQI) was positively associated with concentrations of carotenoids, vitamins [vitamin A (retinol) and D (25-OH-D)], and Se (β: 1.5 to 25%) and negatively associated with vitamin E (γ-tocopherol), creatinine, and Na (β: −4.8 to −8.3%). A weak, positive association was found between UPF and CRP (β: 5.4%, 95% CI 0.12–11%).ConclusionHigh UPF intake was associated with reduced concentrations of nutrition biomarkers in mid-pregnancy. Associations in the opposite direction were found with high adherence to the Norwegian dietary guidelines, suggesting that the two dietary scoring systems capture diet quality in a mirrored manner in this population.

Summary Determinants of trabecular bone score (TBS) and vertebral fractures assessed semiquantitatively (SQ1–SQ3) were studied in 496 women with fragility fractures. TBS was associated with age, parental hip fracture, alcohol intake and BMD, not SQ1–SQ3 fractures. SQ1–SQ3 fractures were associated with age, prior fractures, and lumbar spine BMD, but not TBS. Introduction Trabecular bone score (TBS) and vertebral fractures assessed by semiquantitative method (SQ1–SQ3) seem to reflect different aspects of bone strength. We therefore sought to explore the determinants of and the associations between TBS and SQ1–SQ3 fractures. Methods This cross-sectional sub-study of the Norwegian Capture the Fracture Initiative included 496 women aged ≥ 50 years with fragility fractures. All responded to a questionnaire about risk factors for fracture, had bone mineral density (BMD) of femoral neck and/or lumbar spine assessed, TBS calculated, and 423 had SQ1–SQ3 fracture assessed. Results Mean (SD) age was 65.6 years (8.6), mean TBS 1.27 (0.10), and 33.3% exhibited SQ1–SQ3 fractures. In multiple variable analysis, higher age (βper SD = − 0.26, 95% CI: − 0.36,− 0.15), parental hip fracture (β = − 0.29, 95% CI: − 0.54,− 0.05), and daily alcohol intake (β = − 0.43, 95% CI − 0.79, − 0.08) were associated with lower TBS. Higher BMD of femoral neck (βper SD = 0.34, 95% CI 0.25–0.43) and lumbar spine (βper SD = 0.40, 95% CI 0.31–0.48) were associated with higher TBS. In multivariable logistic regression analyses, age (ORper SD = 1.94, 95% CI 1.51–2.46) and prior fragility fractures (OR = 1.71, 95% CI 1.09–2.71) were positively associated with SQ1–SQ3 fractures, while lumbar spine BMD (ORper SD = 0.75 95% CI 0.60–0.95) was negatively associated with SQ1–SQ3 fractures. No association between TBS and SQ1–SQ3 fractures was found. Conclusion Since TBS and SQ1–SQ3 fractures were not associated, they may act as independent risk factors, justifying the use of both in post-fracture risk assessment.

BACKGROUND:Early disruption of the microbial community may influence life-long health. Environmental toxicants can contaminate breast milk and the developing infant gut microbiome is directly exposed. We investigated whether environmental toxicants in breastmilk affect the composition and function of the infant gut microbiome at 1month. We measured environmental toxicants in breastmilk, fecal short-chain fatty acids (SCFAs), and gut microbial composition from 16S rRNA gene amplicon sequencing using samples from 267 mother-child pairs in the Norwegian Microbiota Cohort (NoMIC). We tested 28 chemical exposures: polychlorinated biphenyls (PCBs), polybrominated flame retardants (PBDEs), per- and polyfluoroalkyl substances (PFASs), and organochlorine pesticides. We assessed chemical exposure and alpha diversity/SCFAs using elastic net regression modeling and generalized linear models, adjusting for confounders, and variation in beta diversity (UniFrac), taxa abundance (ANCOM), and predicted metagenomes (PiCRUSt) in low, medium, and high exposed groups. RESULTS:PBDE-28 and the surfactant perfluorooctanesulfonic acid (PFOS) were associated with less microbiome diversity. Some sub-OTUs of Lactobacillus, an important genus in early life, were lower in abundance in samples from infants with relative "high" (> 80th percentile) vs. "low" (

Table S1. Characteristics of NoMIC current study population, full cohort and general population of birth-giving mothers in Norway. Table S2. Distribution of diversity measures and short-chain fatty acids in infant fecal samples at 1 month. Table S3. Greengenes lineage for deblurred FASTA sequences. Table S4. Differentially abundant taxa in the high (>80th percentile) vs. low (