Background Women with disabilities are at disproportionate risk for adverse pregnancy outcomes, however, there is limited information on their pregnancy histories. This mixed-methods study focuses on signing Deaf women whose access to health care may be compromised by language barriers related to their disability. Objective To describe and compare the pregnancy outcomes and maternity service use of a sample of signing Deaf women of child-bearing age in Cape Town to the population of the Western Cape of South Africa. Methods We interviewed 42 Deaf women selected by non-probability snowball sampling, using a structured questionnaire in South African Sign Language in Cape Town in July 2016. Results Average parity of the sample was similar to that of the Western Cape population. Most women had one or two children (74%). Thirty-one percent of women had experienced a miscarriage and 19% had terminated a pregnancy. Almost all women (96%) attended at least one antenatal appointment during their pregnancies, and all deliveries occurred at a health facility. Women primarily relied on writing to communicate during antenatal visits and labor/delivery. The majority of women reported communication issues due to limited interpretation services, and some reported experiencing mistreatment from hospital staff. Conclusion This study provides novel information on the pregnancy histories of Deaf women. While maternal service usage was high, the quality of services were inadequate with reports of linguistic barriers and mistreatment. Findings suggest the need to improve maternity care for Deaf women through implementing interpretation services and providing sensitivity training to health care providers.

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Introductionthe present study aims to evaluate body composition and its relationship with hormonal control in acromegaly, also comparing the performance of Bioelectrical impedance analysis (BIA), a more accessible method, with dual X-ray absorptiometry (DXA), technology frequently used in current studies. Methodswe studied 28 patients (78% female) of whom 13 with active disease, mean age was 52.11 ± 12.53 years; 64% had high blood pressure (HBP) and 50% had type 2 diabetes (T2D).ResultsAlthough patients with controlled disease had lower serum GH (1.2 ± 1.68µg/L vs 6.61 ± 6.40µg/L, p=0.001) and IGF-1 (158.89 ± 54.53ng/mL and 503.31 ± 253.25ng/mL, p<0.001), they did not differ in body composition: percentage of fat mass: 36.13 ± 11.84% vs 37.73 ± 8.76%, p=0.691 for BIA and 37.10 ± 10.21% vs 37.89 ± 7.32%, p=0.819 for DXA; muscle mass parameters, BIA: FFMI 18.68 ± 2.38kg/m2vs 19.14 ± 1.59kg/m2, p=0.560; SMI 10.17 ± 1.39kg/m2vs 10.53 ± 1.01kg/m2, p=0.438; DXA: Baumgartner 7.99 ± 1.43kg/m2vs 8.02 ± 1.24kg/m2, p=0.947, respectively for controlled and active disease. Patients with controlled acromegaly had lower fasting glucose (110.33 ± 55.48mg/dL vs 129.77 ± 40.17mg/dL, p=0.033) and were less likely to have persistent T2D (28.6 vs 71.4%, p=0.008) and HBP (38.9 vs 61.1%, p=0.049). There were strong positive correlations between BIA and DXA for fat mass (r=0.929, p<0.001) and muscle mass parameters: SMI X Baumgartner: r=0.890, p<0.001; and FFMI X Baumgartner: r=0.868, p<0.001.Conclusionour data showed similar results in body composition assessment by BIA and DXA, with good correlation between the methods, regardless of the hormonal status of acromegaly. Furthermore, in patients with adequate hormonal control, there was preservation of muscle mass and a lower prevalence of metabolic comorbidities, such as T2D and HBP.