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OBJECTIVES: We aimed to determine the prevalence and factors affecting antenatal anxiety (AA) among Sri Lankan women. DESIGN: We conducted a cross-sectional analysis of first trimester data from a population-based cohort of antenatal women. SETTING: Field antenatal clinics of four field health areas in Colombo District, Sri Lanka. PARTICIPANTS: Antenatal women (n=535) in the first trimester of pregnancy and aged ≥18 years were sequentially recruited when they attended antenatal clinics selected using random cluster sampling. Those with hearing difficulty, visual and speaking problems or currently on treatment for mental disorders were excluded. MEASURES: We used an interviewer-administered questionnaire to collect data. The AA was identified using the validated Sinhala version of Perinatal Anxiety Screening Scale (PASS-S). Self-reported demographic and pregnancy-related information were verified against health records. Psychosocial risk factors were self-reported. We investigated the associations between potential risk factors and AA using regression models that included confounders identified through a directed acyclic graph and reported using adjusted odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS: The prevalence of AA during the first trimester of pregnancy, identified using a PASS threshold of ≥20, was 34.4% (n=184). We found several novel risk factors for AA, namely, physical (OR 2.1; 95% CI 1.4 to 3.2) and mental health problems of self (OR 2.3; 95% CI 1.2 to 4.4), physical (OR 2.1; 95% CI 1.4 to 3.4) and mental health problems of parents/spouse (OR 6.7; 95% CI 2.8 to 16.2), traumatic life situations (OR 2.7; 95% CI 1.5 to 4.8), substance abuse by the spouse (OR 3.5; 95% CI 1.9 to 6.6) and the spouse being away (OR 2.0; 95% CI 1.1 to 3.7). The other risk factors that we identified included domestic violence among family members (OR 6.4; 95% CI 1.3 to 31.0), loss of family support (OR 2.2; 95% CI 1.0 to 5.2), financial hardships (OR 1.7; 95% CI 1.0 to 2.8), accommodation-related issues (OR 2.2; 95% CI 1.0 to 4.9), unplanned pregnancy (OR 3.7; 95% CI 1.9 to 7.3), difficulties due to pregnancy (OR 2.0; 95% CI 1.1 to 3.4), changed or stopped education (OR 2.9; 95% CI 1.7 to 5.1), recent loss of employment (OR 2.9; 95% CI 1.2 to 7.0), recent death of a loved one (OR 3.5; 95% CI 2.0 to 5.9) and sleep problems during pregnancy (OR 1.6; 95% CI 1.1 to 2.3). CONCLUSIONS: The prevalence of antenatal anxiety is high in Sri Lanka and is associated with several risk factors, not previously described, which are potentially modifiable.
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Ansiedade , Complicações na Gravidez , Primeiro Trimestre da Gravidez , Humanos , Feminino , Gravidez , Sri Lanka/epidemiologia , Estudos Transversais , Adulto , Fatores de Risco , Prevalência , Ansiedade/epidemiologia , Complicações na Gravidez/epidemiologia , Complicações na Gravidez/psicologia , Adulto Jovem , Cuidado Pré-Natal , Inquéritos e Questionários , AdolescenteRESUMO
Purpose: Evidence on the association between antenatal anxiety disorders (AADs) and adverse pregnancy outcomes with detection of AADs using the gold-standard is scarce despite being vital to make decisions on interventions. We aimed to determine this association in women attending tertiary-care antenatal clinics in Sri Lanka. Material and methods: Presence/absence of AADs in a systematic random sample of 221 antenatal women attending routine antenatal clinics of a teaching hospital who participated in a questionnaire-validation study were confirmed by a psychiatrist. These women were followed up until the end of pregnancy. Information on antenatal comorbidities, adverse pregnancy outcomes was extracted from health records. The association between AADs with antenatal comorbidities and adverse pregnancy outcomes were reported using adjusted odds ratios (ORs) and 95%confidence intervals (CIs) generated from logistic regression models. Results: Mean (±SD) age of the women was 30 (±5.8) years. AADs were diagnosed in 81 (37%) women. Compared to women without AADs, those who had AADs were more at risk of pregnancy-induced hypertension (OR 6.1; 95% CI 1.2-31.9), gestational diabetes mellitus (OR 12.6; 95% CI 1.5-107.2), preterm labour (OR 4.3; 95% CI 1.4-13.0), prolonged labour (OR 19.0; 95% CI 7.1-51.1), lower segment caesarean section (OR 4.7; 95% CI 2.5-8.7) and low birthweight (OR 11.2; 95% CI 4.8-26.3). All miscarriages, stillbirths and assisted labour occurred exclusively in those with AADs. Conclusions: AADs are strongly associated with several adverse pregnancy outcomes. Causal pathways and effect of interventions for AADs must be explored in future research.
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Sleep disorders could influence pregnancy outcomes but evidence for longitudinal associations is scarce. We established a prospective cohort of women to determine incident sleep issues and their adverse health outcomes during pregnancy and beyond, and present here the baseline cohort profile. Antenatal women in gestational weeks 8-12 were recruited (n = 535) and followed-up in each trimester and at 5-6 weeks postpartum (no attrition). Sleep symptoms and disorders were measured using STOP-Bang and Berlin questionnaires and Pittsburgh Sleep Quality Index. Incident health outcomes were extracted from clinical records. At the time of recruitment, habitual snoring was present in 13.8% of participants; "excessive sleepiness during the day" (EDS) in 42.8%; short (<7 h) sleep duration in 46.4%; "having trouble sleeping" in 15.3%; and "poor subjective sleep quality" in 8.6%. Habitual snoring was strongly associated with irregular menstrual periods for one year preceding pregnancy (p = 0.014) and higher BMI (p < 0.001). Higher age was associated with less "trouble sleeping" (OR 0.9, p = 0.033) and longer sleep duration was associated with better "subjective sleep quality" (OR 0.8, p = 0.005). Sleep issues were highly prevalent at baseline and associated with age, irregular menstruation, and obesity. This cohort will provide a robust platform to investigate incident sleep disorders during pregnancy and their effects on adverse pregnancy outcomes and long-term health of women and their offspring.
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Dissonias , Complicações na Gravidez , Distúrbios do Início e da Manutenção do Sono , Transtornos do Sono-Vigília , Humanos , Gravidez , Feminino , Primeiro Trimestre da Gravidez , Ronco/epidemiologia , Estudos Prospectivos , Prevalência , Sono , Resultado da Gravidez , Fatores de Risco , Transtornos do Sono-Vigília/epidemiologia , Complicações na Gravidez/epidemiologia , Complicações na Gravidez/diagnósticoRESUMO
OBJECTIVES: Obesity and being overweight among adolescents pose a significant problem and are known to cause several physical and biochemical disorders during adulthood. This study was designed to identify the biomarkers of obesity and describe associations with selected metabolic disorders of obesity among Sri Lankan adolescents. METHODS: The present study compared the characteristics of obese (n = 121) and normal weight (n = 263) adolescents, including sociodemographic, anthropometric, and selected biochemical parameters (e.g., lipid profile, serum leptin, adiponectin, and high-sensitivity C-reactive protein [hs-CRP]). An enzyme-linked immunosorbent assay technique and fully automated clinical chemistry analyzer were used to analyze the biochemical parameters among adolescents ages 10 to 16. RESULTS: The mean age of the sample was 13.1 y [standard deviation (SD): 1.9 y], and the male-to-female ratio 1:1. The mean weight of obese children was 55.70 kg (SD: 14.82 kg), which was significantly higher than that of children of normal weight [41.63 kg (SD: 7.88 kg)]. Total cholesterol, triacylglycerol, and low-density lipoprotein cholesterol levels were significantly higher (P = 0.000) among obese adolescents compared with those of normal weight. High-density lipoprotein cholesterol was significantly lower among obese adolescents. Serum leptin and hs-CRP were higher among obese adolescents, but adiponectin was lower. In the multivariate analysis, owing to confounding effects among the tested adipokines, serum leptin was the only predictor of an abnormal lipid profile. CONCLUSIONS: Serum leptin, adiponectin, and hs-CRP were found to be reliable biomarkers of predicting adiposity related metabolic disorders in adolescents. Obese adolescents showed disorders in the lipid metabolism with abnormal lipid profiles compared with children of normal weight.