A community-based sample of 107 women completed the Beck Anxiety Inventory, Beck Depression Inventory, State-Trait Anxiety Inventory, and Edinburgh Postnatal Depression Scale at 14 weeks postpartum and at 30 weeks postpartum. The point prevalence of anxiety was 8.7% at 14 weeks and 16.8% at 30 weeks postpartum. The point prevalence of depression was 23.3% at 14 weeks and 18.7% at 30 weeks postpartum. The incidence of anxiety during this time period was 10.28%, and the incidence of depression was 7.48%, indicating high incidences of both postpartum anxiety and depression later in the postpartum period. The Edinburgh Postnatal Depression Scale was found to have a strong correlation with the State Anxiety Scale of the State-Trait Anxiety Inventory (r = .73 at 14 weeks, r = .82 at 30 weeks), suggesting that the Edinburgh Postnatal Depression Scale may be a good screening instrument for anxiety as well as depression.
postpartum anxiety depression comorbidity community sample, Edinburgh Postnatal Depression Scale anxiety screening, Beck Anxiety Inventory postpartum women prevalence, postpartum depression point prevalence 14 weeks 30 weeks, State-Trait Anxiety Inventory postnatal depression correlation, late onset postpartum anxiety incidence, Stuart O'Hara postpartum mood disorders, screening instruments postpartum anxiety and depression, Beck Depression Inventory postpartum prevalence rates, postpartum psychiatric disorders community-based epidemiology
PMID 9680043 9680043 DOI 10.1097/00005053-199807000-00006 10.1097/00005053-199807000-00006 Stuart et al. 1998, Stuart 1998
Cite this article
Stuart, S., Couser, G., Schilder, K. K., O'Hara, M. W., & Gorman, L. (1998). Postpartum anxiety and depression: onset and comorbidity in a community sample. The Journal of nervous and mental disease, 186(7), 420-424. https://doi.org/10.1097/00005053-199807000-00006
Stuart S, Couser G, Schilder KK, O'Hara MW, Gorman L. Postpartum anxiety and depression: onset and comorbidity in a community sample. J Nerv Ment Dis. 1998;186(7):420-424. doi:10.1097/00005053-199807000-00006
Stuart, Scott, et al. "Postpartum anxiety and depression: onset and comorbidity in a community sample." The Journal of nervous and mental disease, vol. 186, no. 7, 1998, pp. 420-424.
To develop and evaluate a questionnaire used antepartum to screen for postpartum depression. Demographic and clinical data, based on previously identified variables, were obtained from 106 second-trimester gravidas (sample I) by interview, self-administered questionnaire and medical record review. The Beck Depression Inventory (BDI) was administered at 1, 6 and 12 weeks postpartum (PP). Statistical analysis, including stepwise linear regression with maximum r-squared improvement, identified a subset of the 24 most predictive variables. This antepartum questionnaire (APQ) was validated retrospectively in the original sample and prospectively in a second group of 99 women (sample II). In both sample populations the APQ had acceptable sensitivity (80-82%) and specificity (78-82%). The incidence of postpartum depressive symptoms (PPDS) rose from 10% to 17% by six weeks without an appreciable decline at 12 weeks (15%). The percentage of women showing more than mild depressive symptoms increased with PP time from 30% at 1 week to 47% at 12. The APQ is now available for screening and evaluating early therapeutic intervention in PPDS.
Measurement and Statistics · Instrument Development and Validation
Global fertility rates are declining. In China, the total fertility rate dropped sharply from 5.59 in 1971 to 1.15 in 2021. Chinese university students often lack adequate fertility awareness, yet no validated instrument exists to assess this construct in this population, despite its recognized importance for informed reproductive decision-making. The Fertility Awareness Scale for University Students (FASUS) was developed through literature search, semi-structured interviews, and two rounds of Delphi expert consultation. Psychometric properties were tested using exploratory and confirmatory factor analysis, Cronbach's α, split-half reliability, and test-retest reliability. A cross-sectional survey of 750 students examined fertility awareness levels and influencing factors via univariate analysis and multiple linear regression. The final FASUS Scale consisted of 22 items across three dimensions: fertility-related knowledge, reproductive health attitudes, and reproductive health skills, with a cumulative variance contribution rate of 67.952%. The scale demonstrated strong reliability (Cronbach's α = 0.97, split-half reliability = 0.885, test-retest reliability = 0.981). A survey of 750 students revealed an average fertility awareness score of 78.01 ± 16.44, indicating a low to moderate level. Key influencing factors included gender, ethnicity, education level, only-child status, and prior fertility knowledge education. This study utilized a self-developed scale to assess fertility awareness among Chinese university students. The results showed that the fertility awareness level of Chinese university students was generally low. We suggest that health care institutions implement targeted intervention measures to improve reproductive health outcomes.
Several studies have evaluated the reliability of using temperature sensors placed in different locations on the body to identify the day of ovulation. However, such demonstrations are lacking for axillary temperature wearable devices. This study aimed to evaluate the accuracy with which an axillary temperature armband sensor (Tempdrop) identifies the day of ovulation and the fertile window, using the Clearblue Connected Ovulation Test System as the reference method. A total of 194 cycles were analyzed from 125 women that participated in the study between April 2023 and June 2024. The performance parameters were high: the sensitivity (96.8% (95% CI 95.6; 97.7)), specificity (99.1% (98.8; 99.4)), accuracy (98.6% (98.2; 98.9)), positive predictive value (96.8% (95.6; 97.7)) and negative predictive value (99.1% (98.8; 99.4)). Furthermore, the results revealed a remarkably clear and better-than-expected change in temperature around the time of ovulation. This axillary temperature wearable sensor is an effective alternative to urine ovulation tests for determining the timing of ovulation. Another advantage is that it provides a clear temperature curve that can be used to evaluate the quality of the luteal phase.
Measurement and Statistics · Instrument Development and Validation
Bouchard TP et al., 2025·Womens Health Rep (New Rochelle)·
Open Access
Measuring quantitative menstrual cycle hormones at home may help women better understand their postpartum and perimenopause fertility transitions, but these quantitative fertility monitors require validation. This study included 16 North American women, aged 28-51, during either the postpartum (n = 8, cycles = 18) or perimenopause (n = 8, cycles = 35) fertility transitions testing daily first-morning urine testing with both the Mira Monitor and ClearBlue Fertility Monitor (CBFM) along with menstrual cycle parameter tracking. The main outcome measures were a rise in estrone-3-glucuronide (E13G) and luteinizing hormone (LH) urine hormone values from the Mira monitor correlated to low, high, or peak values on the CBFM. Both in the postpartum and perimenopause transitions, the identification of the day of ovulation based on the LH surge on the Mira and CBFM monitors was highly correlated (R = 0.94 and 0.83, p < 0.001). The E13G levels on the Mira monitor were significantly higher for a CBFM reading of "High" compared with "Low" for both the postpartum and perimenopausal cycles (all p < 0.001). Similarly, the LH levels on the Mira monitor were significantly higher for a CBFM reading of "Peak" (LH surge) compared with "High" for both the postpartum and perimenopausal cycles (all p < 0.001). The LH surge and levels of E13G in urine identified on the quantitative Mira fertility monitor strongly correlate to the LH surge and the shift from low to high on the CBFM during the postpartum and perimenopause transitions.