This study assessed the effect of foetal movement counting on maternal anxiety. In a randomised, controlled trial, 208 primigravida women with a singleton pregnancy were allocated either to perform daily foetal movement counting (n100) from 28 weeks ’ gestation or to follow standard Iranian antenatal care (n108). Maternal anxiety was measured by Spielberger State-Trait Anxiety Inventory. Statistical analysis was performed by SPSS (16.0). There was no significant difference in mean state and trait anxiety scores at 28 weeks ’ gestation; the difference was significant at 37 weeks ’ gestation in state anxiety score between the intervention and control groups (35.34 9.98 vs. 38.25 9.63, respectively, P0.001). A significant difference was found in mean trait anxiety score at 37 weeks ’ gestation between the two groups (35.88 8.19 vs. 39.15 9.25, respectively, P 0.008). Women who performed foetal movement counting from 28 to 37 weeks ’ gestation reported less anxiety compared with those in control group.

The rise and extensive spread of antimicrobial resistance (AMR) has become a growing concern, and a threat to the environment and human health globally. The majority of current AMR identification methods used in clinical setting are based on traditional microbiology culture-dependent techniques which are time-consuming or expensive to be implemented, thus appropriate antibiotic stewardship is provided retrospectively which means the first line of treatment is to hope that a broad-spectrum antibiotic works. Hence, culture-independent and single-cell technologies are needed to allow for rapid detection and identification of antimicrobial-resistant bacteria and to support a more targeted and effective antibiotic therapy preventing further development and spread of AMR. In this study, for the first time, a non-destructive phenotyping method of optical photothermal infrared (O-PTIR) spectroscopy, coupled with deuterium isotope probing (DIP) and multivariate statistical analysis was employed as a metabolic fingerprinting approach to detect AMR in Uropathogenic Escherichia coli (UPEC) at both single-cell and population levels. Principal component-discriminant function analysis (PC-DFA) of FT-IR and O-PTIR spectral data showed clear clustering patterns as a result of distinctive spectral shifts (C–D signature peaks) originating from deuterium incorporation into bacterial cells, allowing for rapid detection and classification of sensitive and resistant isolates at the single-cell level. Furthermore, the single-frequency images obtained using the C–D signature peak at 2,163 cm−1 clearly displayed the reduced ability of the trimethoprim-sensitive strain for incorporating deuterium when exposed to this antibiotic, compared to the untreated condition. Hence, the results of this study indicated that O-PTIR can be employed as an efficient tool for the rapid detection of AMR at the single-cell level.

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Background: Most women suffer pain following an episiotomy and oral non-steroidal anti-inflammatory drugs are commonly used for pain relief. Due to the gastrointestinal side effects of oral drugs, it seems that women are more accepting of topical medications for pain relief.

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