Relationship between personality traits and postpartum depression in Pakistani fathers

by Najam ul Hasan Abbasi, Ahmad Bilal, Khair Muhammad, Saba Riaz, Shakeela Altaf

The previous studies have found an association between Big Five personality traits and postpartum depression in women. The present study aimed to find out an association between Big Five personality traits and postpartum depression in a sample of Pakistani fathers. A total of 400 Pakistani fathers who had birth of a child in the past 1 month to 1 year period and had been living with their married partners were recruited purposively by using Google Form based survey from the major cities of Pakistan. The Urdu translated versions of Big Five Personality Inventory (BFI) and Edinburgh Postnatal Depression Scale (EPDS) were used as the main outcome measures to assess the relationship between personality traits and postpartum depression. The results found a significant negative and moderate association between Big Five personality traits and paternal postpartum depression except openness which had a weak association and neuroticism which had a positive and moderate association with PPPD (r(398) = .45). The multiple linear regression analysis found that Big Five personality traits significantly predicted paternal postpartum depression (F(5, 394) = 53.33, p = .001) except openness (B = .007, p = .98). The analysis of variance (ANOVA) found significant differences in paternal postpartum depression for age of father (F(2, 397) = 6.65, p = .001, ηp² = .03), spouse age (F(2, 393) = 5.97, p = .003, ηp² = .02), employment type (F(2, 395) = 9.69, p = .001, ηp² = .04) and time spent at home (F(2, 397) = 6.23, p = .002, ηp² = .03) while there were found no significant differences for education (F(2, 397) = 1.29, p = .27, ηp² = .006), marital duration (F(2, 397) = 2.17, p = .11, ηp² = .01), and birth number of recent child (F(2, 397) = 1.48, p = .22, ηp² = .007). The study concluded that Big Five personality traits are significantly correlated with and predict paternal postpartum depression except openness which did not predict paternal postpartum depression. The occurrence of paternal postpartum depression varied significantly for age of father, age of spouse, type of employment and time spent at home.

Clinical evaluation of a fully electronic microfluidic white blood cell analyzer

by Jianye Sui, Zhongtian Lin, Shahriar Azizpour, Fei Chen, Sunanda Gaur, Kelly Keene, Farzad Soleimani, Tanaya Bhowmick, Zubaid Rafique, Mehdi Javanmard

The White Blood Cell (WBC) count is one of the key parameters signaling the health of the immune system. Abnormal WBC counts often signal a systemic insult to the body such as an underlying infection or an adverse side effect to medication. Typically, the blood collected is sent to a central lab for testing, and results come back within hours, which is often inconvenient and may delay time-sensitive diagnosis or treatment. Here, we present the CytoTracker, a fully electronic, microfluidic based instant WBC analyzer with the potential to be used at point-of-care. The CytoTracker is a lightweight, portable, affordable platform capable of quantifying WBCs within minutes using only 50 μl of blood (approximately one drop of blood). In this study, we clinically evaluated the accuracy and performance of CytoTracker in measuring WBC and granulocyte counts. A total of 210 adult patients were recruited in the study. We validated the CytoTracker against a standard benchtop analyzer (Horiba Point of Care Hematology Analyzer, ABX Micros 60). Linear dynamic ranges of 2.5 k/μl– 35 k/μl and 0.6 k/μl– 26 k/μl were achieved for total WBC count and granulocyte count with correlation coefficients of 0.97 and 0.98. In addition, we verified CytoTracker’s capability of identifying abnormal blood counts with above 90% sensitivity and specificity. The promising results of this clinical validation study demonstrate the potential for the use of the CytoTracker as a reliable and accurate point-of-care WBC analyzer.

Implementing HLA-B*58:01 testing prior to allopurinol initiation in Malaysian primary care setting: A qualitative study from doctors’ and patients’ perspective

by Wei Leik Ng, Norita Hussein, Chirk Jenn Ng, Nadeem Qureshi, Yew Kong Lee, Zhenli Kwan, Boon Pin Kee, Sue-Mian Then, Tun Firzara Abdul Malik, Fatimah Zahrah Mohd Zaidan, Siti Umi Fairuz Azmi

Introduction

Allopurinol, the first-line treatment for chronic gout, is a common causative drug for severe cutaneous adverse reactions (SCAR). HLA-B*58:01 allele was strongly associated with allopurinol-induced SCAR in Asian countries such as Taiwan, Japan, Thailand and Malaysia. HLA-B*58:01 screening before allopurinol initiation is conditionally recommended in the Southeast-Asian population, but the uptake of this screening is slow in primary care settings, including Malaysia. This study aimed to explore the views and experiences of primary care doctors and patients with gout on implementing HLA-B*58:01 testing in Malaysia as part of a more extensive study exploring the feasibility of implementing it routinely.

Methods

This qualitative study used in-depth interviews and focus group discussions to obtain information from patients with gout under follow-up in primary care and doctors who cared for them. Patients and doctors shared their gout management experiences and views on implementing HLA-B*58:01 screening in primary care. Data were coded and analysed using thematic analysis.

Results

18 patients and 18 doctors from three different healthcare settings (university hospital, public health clinics, private general practitioner clinics) participated. The acceptability to HLA-B*58:01 screening was good among the doctors and patients. We discovered inadequate disclosure of severe side effects of allopurinol by doctors due to concerns about medication refusal by patients, which could potentially be improved by introducing HLA-B*58:01 testing. Barriers to implementation included out-of-pocket costs for patients, the cost-effectiveness of this implementation, lack of established alternative treatment pathway besides allopurinol, counselling burden and concern about genetic data security. Our participants preferred targeted screening for high-risk populations instead of universal screening.

Conclusion

Implementing HLA-B*58:01 testing in primary care is potentially feasible if a cost-effective, targeted screening policy on high-risk groups can be developed. A clear treatment pathway for patients who test positive should be made available.

Disease decreases variation in host community structure in an old-field grassland

by Rita L. Grunberg, Fletcher W. Halliday, Robert W. Heckman, Brooklynn N. Joyner, Kayleigh R. O’Keeffe, Charles E. Mitchell

Disease may drive variation in host community structure by modifying the interplay of deterministic and stochastic processes that shape communities. For instance, deterministic processes like ecological selection can benefit species less impacted by disease. When communities have higher levels of disease and disease consistently selects for certain host species, this can reduce variation in host community composition. On the other hand, when host communities are less impacted by disease and selection is weaker, stochastic processes (e.g., drift, dispersal) may play a bigger role in host community structure, which can increase variation among communities. While effects of disease on host community structure have been quantified in field experiments, few have addressed the role of disease in modulating variation in structure among host communities. To address this, we conducted a field experiment spanning three years, using a tractable system: foliar fungal pathogens in an old-field grassland community dominated by the grass Lolium arundinaceum, tall fescue. We reduced foliar fungal disease burden in replicate host communities (experimental plots in intact vegetation) in three fungicide regimens that varied in the seasonal duration of fungicide treatment and included a fungicide-free control. We measured host diversity, biomass, and variation in community structure among replicate communities. Disease reduction generally decreased plant richness and increased aboveground biomass relative to communities experiencing ambient levels of disease. These changes in richness and aboveground biomass were consistent across years despite changes in structure of the plant communities over the experiment’s three years. Importantly, disease reduction amplified host community variation, suggesting that disease diminished the degree to which host communities were structured by stochastic processes. These results of experimental disease reduction both highlight the potential importance of stochastic processes in plant communities and reveal the potential for disease to regulate variation in host community structure.