Antenatal depression and anxiety and early pregnancy BMI among White British and South Asian women: retrospective analysis of data from the Born in Bradford cohort.

BACKGROUND: Maternal obesity has severe physical impacts such as increased chances of pre-eclampsia and gestational diabetes. However, mental health impacts are given less attention within antenatal care. Evidence suggests that women with obesity carry increased risk of maternal depression and anxiety, however, this association is not well researched amongst South Asian women in the UK who are vulnerable to both. The aim of this study was to investigate the association between antenatal depression and anxiety and early pregnancy BMI, within and between White British and South Asian women, using data from the Born in Bradford cohort. METHODS: Depression and anxiety were assessed using the General Health Questionnaire (GHQ); a GHQ score of > 0 for the depression subscale and > 6 for anxiety. Mother's BMI was stratified into six World Health Organisation BMI categories (underweight, recommended, overweight or obese class 1-3). To determine associations, univariate and multivariate logistic regression models (adjusting for maternal age, education, deprivation and smoking) were used. RESULTS: There were 7824 women included (3514 White British and 4310 South Asian). South Asian women were more likely to have depression than White British (43.3% vs 36.1% p < 0.0001) and less likely to have anxiety (45.3% vs 48.4% p < 0.01). There were no significant associations between BMI and depression or anxiety in South Asian women. White British women with an overweight BMI had higher odds of anxiety compared with women with a recommended BMI (Adjusted Odds Ratio 1.25, 95% Confidence Interval 1.05-1.47). No significant associations were observed for other BMI categories. Smoking was a risk factor for antenatal depression (AOR 1.32, 95% CI 1.12-1.56; AOR 2.08, 95% CI 1.49-2.91) and anxiety (AOR 1.34, 95% CI 1.14-1.57; (AOR 2.87, 95% CI 2.02-4.07) in both White British and South Asian women, respectively. CONCLUSIONS: Although South Asian women have a higher prevalence of depression than White women in this cohort, the known associations between maternal obesity and anxiety do not appear to be present. More studies are needed using validated depression tools for South Asian pregnant women. Mental health screening during antenatal care is important for South Asian women, with factors such as smoking considered.

Ethnic differences in risk factors for adverse birth outcomes between Pakistani, Bangladeshi, and White British mothers.

AIM: Reducing poor maternal and infant outcomes in pregnancy is the aim of maternity care. Adverse health behaviours lead to increased risk and can adversely mediate birth outcomes. This study examines whether risk factors are similar, different, or clustered according to maternal ethnicity. DESIGN: Retrospective analysis of routinely collected data (2008-2013). METHODS: We analysed data routinely collected data from a local University Hospital Ciconia Maternity information System (CMiS), for White British, Pakistani, and Bangladeshi women (N = 15,211) using cross-tabulations, ANCOVA, adjusted standardized residuals (ASR), and Pearson's chi-squared statistics. RESULTS: The results demonstrate distinct clusters of risk factors between White British, Pakistani, and Bangladeshi mothers. Additionally, Pakistani mothers had the highest number of statistically significant risk factors, according to maternal ethnicity, showing that 49% of women in this cohort that were diagnosed with diabetes were Pakistani, 21.5% of White British women smoked and results showed that Bangladeshi mothers delivered the lightest weight infants (adjusted mean: 3,055.4 g). CONCLUSIONS: This study showed differences in the risk factors between White British, Pakistani, and Bangladeshi mothers. The identified risk factors were clustered by maternal ethnicity. IMPACT: Identification of these risk factor clusters can help policymakers and clinicians direct resources and may help reduce ethnic variation found in these populations that might be attributed to adverse health behaviours and increased risk factors.

Understanding the consumption of folic acid during preconception, among Pakistani, Bangladeshi and white British mothers in Luton, UK: a qualitative study.

BACKGROUND: To review the similarities and differences in Pakistani, Bangladeshi and White British mothers health beliefs (attitudes, knowledge and perceptions) and health behaviour regarding their consumption of folic acid pre-conception, to reduce the risk of neural tube defects. METHODS: Our study used a descriptive qualitative research approach, implementing face-to-face focus group discussions with Pakistani, Bangladeshi or White British mothers (normal birth outcomes and mothers with poor birth outcomes) and semi-structured interviews or focus groups with service providers using semi-structured topic guides. This method is well suited for under researched areas where in-depth information is sought. There were three sample groups: 1. Pakistani, Bangladeshi and White British mothers with normal birth outcomes (delivery after 37 weeks of gestation, in the preceding 6 to 24 months, weighing 2500 g and living within a specified postcode area in Luton, UK). 2. Pakistani Bangladeshi and white British bereaved mothers who had suffered a perinatal mortality (preceding 6 to 24 months, residing within a specificied postcode area). 3. Healthcare professionals working on the local maternity care pathway (i.e. services providing preconception, antenatal, antepartum and postpartum care). Transcribed discussions were analysed using the Framework Analysis approach. RESULTS: The majority of mothers in this sample did not understand the benefits or optimal time to take folic acid pre-conception. Conversely, healthcare professionals believed the majority of women did consume folic acid, prior to conception. CONCLUSIONS: There is a need to increase public health awareness of the optimal time and subsequent benefits for taking folic acid, to prevent neural tube defects.

A comparison of antenatal classifications of 'overweight' and 'obesity' prevalence between white British, Indian, Pakistani and Bangladeshi pregnant women in England; analysis of retrospective data.

BACKGROUND: Maternal obesity increases women's risk of poor birth outcomes, and statistics show that Pakistani and Bangladeshi women (who are born or settled) in the UK experience higher rates of perinatal mortality and congenital anomalies than white British or white Other women. This study compares the prevalence of maternal obesity in Indian, Pakistani, Bangladeshi and white British women using standard and Asian-specific BMI metrics. METHOD: Retrospective cross-sectional analysis using routinely recorded secondary data in Ciconia Maternity information System (CMiS), between 2008 and 2013. Mothers (n = 15,205) whose ethnicity was recorded as white British, Bangladeshi, Pakistani or Indian. Adjusted standardised residuals and Pearson Chi-square. MAIN OUTCOME MEASURES: Percentage of mothers stratified by ethnicity (Indian, Pakistani, Bangladeshi and white British) who are classified as overweight or obese using standard and revised World Health Organisation BMI thresholds. RESULTS: Compared to standard BMI thresholds, using the revised BMI threshold resulted in a higher prevalence of obesity: 22.8% of Indian and 24.3% of Bangladeshi and 32.3% of Pakistani women. Pearson Chi-square confirmed that significantly more Pakistani women were classified as 'obese' compared with white British, Indian or Bangladeshi women (χ 2  = 499,88 df = 9, p < 0.001). CONCLUSIONS: There are differences in the prevalence of obese and overweight women stratified by maternal ethnicity of white British, Indian, Pakistani and Bangladeshi. Using revised anthropometric measures in Indian, Pakistani and Bangladeshi women has clinical implications for identifying risks associated with obesity and increased complications in pregnancy.

Third molar development in a London population of White British and Black British or other Black ethnicity.

Population differences in dental development between Black and White ethnic groups have been debated but not previously studied in the UK. Using inappropriate data for dental age estimation (DAE) could lead to erroneous results and injustice. Data were collected from dental panoramic radiographs of 5590 subjects aged 6-24 years in a teaching hospital archive. Demirjian stages were determined for left-sided teeth and third molars and data collected regarding hypodontia and third molar agenesis. Third molar development in self-assigned Black British, including other self-assigned Black ethnicity, was compared with that of self-assigned White British subjects. Data were compared for males and females in the two ethnic groups using T-tests for Demirjian Stages A-G of third molar development and Mann-Whitney tests for Stage H once a cut-off age at the maximum age for Stage G had been imposed. Third molar development occurred earlier in subjects of Black ancestry compared to those of White ancestry. While both ethnic groups showed large age ranges for every third molar stage, in female subjects these generally occurred at least 1.5 years earlier, and in males at least one year earlier. Hypodontia and third molar agenesis were more prevalent in White British, but the ethnic difference in third molar development persisted in subjects with complete dentitions. This is a large study that confirms ethnic differences in a London population, emphasises the difficulties of establishing the 18-year-old threshold using DAE, and confirms the risk of overestimating the age of individuals of Black ethnicity using White ethnic reference data.

Population data for 23 autosomal STR loci in White British population.

We report allele frequencies and standard population genetics parameters for 23 forensic autosomal STR loci tested among White British population. In addition, we use generated allele frequency data to compare the extent of genetic variation with 19 other European populations.

Analysis of routinely collected data: Determining associations of maternal risk factors and infant outcomes with gestational diabetes, in Pakistani, Indian, Bangladeshi and white British pregnant women in Luton, England.

OBJECTIVE: This study aims to compare the prevalence of gestational diabetes in Indian, Pakistani, Bangladeshi and British women in Luton, England and further examine associations in maternal risk factors (age BMI, smoking status and birth outcome), with gestational diabetes, with maternal ethnicity. DESIGN: A retrospective analysis using routinely collected secondary data from Ciconia Maternity information System (CMiS), between 2008 and 2013. The ethnicity of women recorded as Indian, Pakistani, Bangladeshi and white British, residing in [removed] were included in the study. The outcomes for n=15,211 cases were analysed using adjusted standardised residuals, Pearson Chi-square, frequencies and percentages of women with gestational diabetes. RESULTS: The prevalence of gestational diabetes was significantly higher in the sample of Bangladeshi (2.1%) and Pakistani (1.4%) compared to Indian (1%) and white British (0.4%) women. Of the women diagnosed with gestational diabetes, 48.7% of the women diagnosed with gestational diabetes in this cohort were Pakistani, compared with 28.3% of Bangladeshi, 6.6% of Indian and 16.4% of white British (χ2= 84.57 df=6, p<0.001). A number of significant Pearson Chi-square associations were found between Pakistani women diagnosed with gestational diabetes and BMI over 30kg/m2 (χ2= 43.1 df=4, p<0.001) and an early gestational age at delivery (24-37 weeks) (χ2= 4.084 df=1, p=0.043). CONCLUSIONS: There are important differences in the prevalence rates of gestational diabetes which varied by maternal ethnicity. Of the women who had GDM, 48.7% were Pakistani, compared with 28.3% Bangladeshi, 16.4% white British and 6.6% Indian. It is essential policy makers and service providers target GDM screening and associated interventions and future research seeks to understand the reasons behind these differences.

A qualitative study exploring the experiences of bereavement after stillbirth in pakistani, bangladeshi and white british mothers living in luton, UK.

AIM: This study aims to explore the experiences of bereavement after stillbirth of Pakistani, Bangladeshi and White British mothers in a town with multi-ethnic populations in England. PARTICIPANTS: A purposive sample of Pakistani, Bangladeshi and White British mothers aged over 16 (at time of infant birth), who suffered a stillbirth in the preceding 6-24 months and residing in a specified postcode area were invited to take part in the study, by an identified gatekeeper (audit midwife) from the local National Health Service Trust, in addition to local bereavement charities. DESIGN: Qualitative methods using face-to-face semi-structured interviews were undertaken, recorded and transcribed verbatim. Using framework analysis, several themes were identified. FINDINGS: There were three main themes identified from the data; 1. knowledge and information of pregnancy and perinatal mortality; 2. attitudes and perceptions to pregnancy and perinatal mortality and 3. experiences with maternity care. The findings revealed mostly similarities in the bereavement experiences of the Pakistani, Bangladeshi and White British mothers. A few cultural and religious differences were identified. CONCLUSIONS: This study found important similarities in bereavement experiences of Pakistani, Bangladeshi and White British mothers and highlights considerations for policy makers and maternity services in how the timing of bereavement after care is provided, including advice surrounding the infant post-mortem. 209.

Ethnic differences and socio-demographic predictors of illness perceptions, self-management, and metabolic control of type 2 diabetes.

OBJECTIVES: This study investigated ethnic differences in diabetes-specific knowledge, illness perceptions, self-management, and metabolic control among black-African, black-Caribbean,and white-British populations with type 2 diabetes. The study also examined associations between demographic/disease characteristics and diabetes-specific knowledge, illness perceptions, self-management, and metabolic control in each of the three ethnic groups. DESIGN: Cross-sectional. SETTING: Diabetes/retinal screening clinics in Hackney and Brent, London. METHODS: Black-African, black-Caribbean and white-British populations with type 2 diabetes were asked to participate. Questionnaires measuring demographic/disease characteristics, diabetes-specific knowledge, self-management, and illness perceptions were used for data collection. Data for glycated hemoglobin (HbA1c) and microvascular complications were obtained from medical records. Ethnic differences in diabetes-related measures were estimated using analysis of variance/covariance. Multiple regression techniques were used to determine relationships between demographic/disease characteristics and measured diabetes-related outcomes. RESULTS: Three hundred and fifty-nine patients participated in the study. White-British participants had high diabetes-specific knowledge compared to their black-African and black-Caribbean counterparts. Black-Africans reported better adherence to self-management recommendations than the other ethnic groups. Compared to the white-British patients, black-African and black-Caribbean participants perceived diabetes as a benign condition that could be cured. Educational status and treatment category were determinants of diabetes-specific knowledge in all three ethnic groups. However, different demographic/disease characteristics predicted adherence to self-management recommendations in each ethnic group. CONCLUSION: Clearly, there is disease (diabetes) knowledge-perception variation between different ethnic groups in the UK which may partly influence overall disease outcome. It is plausible to recommend screening, identifying, and dispelling misconceptions about diabetes among ethnic minority patients by health care professionals as well as emphasizing the importance of self-management in managing chronic diseases such as diabetes.