Category: Nevin Manimala

PLoS One. 2022 Aug 5;17(8):e0272297. doi: 10.1371/journal.pone.0272297. eCollection 2022.

ABSTRACT

The diagnosis of type 1 diabetes mellitus (DM) in humans is associated with high altitude, few sunshine hours, cold climate, and winter. The goals of this study were to investigate seasonal and geographic patterns of DM diagnosis in United States of America (USA) dogs with juvenile and mature onset DM. Data were collected by means of an online survey widely distributed in the USA through breed clubs, academic veterinary institutions, private veterinary referral practices, social media outlets, and the American Kennel Club. Juvenile DM (JDM) and mature onset DM were defined as DM with an age of onset <365 days and DM with an age of onset ≥365 days, respectively. Meteorological seasons were defined as: winter from December through February, spring from March through May, summer from June through August, and fall from September through November. Four geographic regions were also defined as the West, North, South, and Central regions of the USA. Nonoverlapping 95% confidence intervals (CI) for season, geographic region, and breed specific proportions of dogs with JDM were considered statistically significantly different. The study included 933 dogs with mature onset DM and 27 dogs with JDM. Dogs were diagnosed with DM significantly more in the winter and northern USA compared to all other seasons and all other geographic regions, respectively. The prevalence of JDM among dogs with DM was 2.8%. The proportion of dogs with JDM among pure breeds was not significantly different than the proportion of JDM in mixed breed dogs. It is concluded that winter and cold climate could be shared environmental factors influencing DM expression in dogs and humans. Additionally, pure breed dogs do not appear to be at increased risk for JDM compared to mixed breed dogs, indicating that factors other than genetics could influence spontaneous JDM development in dogs.

PMID:35930583 | DOI:10.1371/journal.pone.0272297

PLoS One. 2022 Aug 5;17(8):e0272613. doi: 10.1371/journal.pone.0272613. eCollection 2022.

ABSTRACT

BACKGROUND AND AIM: Rates of cesarean section in Iran are unnecessarily high largely due to fear of childbirth (FOC), yet this may be reduced through education. Iranian women are keen to obtain information about pregnancy and birth online though sources may not be reliable. Consequently, the present study aimed to compare the effect of childbirth preparation courses delivered both online via the social media platform ‘Telegram’ and in-person on pregnancy experience, FOC, birth preference, and mode of birth.

METHODS: This quasi-experimental study included 165 primiparous pregnant women referred to the prenatal clinic in Tehran, Iran. Convenience sampling was used to recruit participants, who were subsequently divided into three groups; (A) social media-based educational intervention (n = 53); (B) in-person educational intervention (n = 52), and (C) a control group who received no prenatal education (n = 50). During the 18th and 20th weeks of pregnancy, demographic questions along with the pregnancy experience scale (PES), and version A of the Wijma delivery expectancy/experience questionnaire (WDEQ‑A) were completed. In the 36th and 38th weeks of pregnancy, the PES and WDEQ‑A questionnaires, as well as birth preference form were further completed. Mode of birth was recorded in the first few days of postpartum. The Fisher’s exact test, along with ANOVA and Chi-square tests were used to determine associations between variables. A paired t-test was used to examine within-group comparisons. The Kruskal-Wallis non-parametric test was used to investigate the intervening effect of economic status.

RESULTS: Post intervention, the mean score of pregnancy experience and FOC did not differ significantly between the three groups. Also, 86.8% of participants in group A, 90.4% of participants in group B, and 62% of participants in the control group preferred to give birth vaginally, which was statistically significant (p = 0.001). Moreover, 66% of participants in group A, 61.5% of participants in group B, and 50% of participants in the control group ultimately gave birth vaginally. None of the participants in group A underwent an elective cesarean section, while this rate was 7.7% and 24% for groups B and control, respectively (p = 0.002).

CONCLUSION: Despite the non-significant differences identified between the three groups in terms of pregnancy experience and FOC, prenatal education delivered via social media may be usefully offered to Iranian women keen to receive education flexibly online.

TRIAL REGISTRATION: Name of the Registry: Iranian Registry of Clinical Trials. Trial registration number: IRCT20180427039436N2. Date of registration: 15/06/2018. URL of trial registry record: https://www.irct.ir/trial/30890.

PMID:35930582 | DOI:10.1371/journal.pone.0272613

PLoS One. 2022 Aug 5;17(8):e0272570. doi: 10.1371/journal.pone.0272570. eCollection 2022.

ABSTRACT

INTRODUCTION: With fragile health care systems, sub-Saharan Africa countries like Ethiopia are facing a complex epidemic, and become difficult to control the noble coronavirus. The use of COVID-19 preventive measures is strongly recommended. This study aimed to assess the adherence of COVID-19 mitigation measures and associated factors among health care workers.

METHODS: A facility-based cross-sectional study was conducted among health care workers at referral hospitals in the Amhara regional state of Ethiopia from May 15 to June 10; 2021. It was a web-based study using an online questionnaire. STATA 14.2 was used for data analysis. Variables with a p-value<0.05 at 95% confidence level in multivariable analysis were declared as statistically significant using binary logistic regression.

RESULT: Adherence to COVID-19 mitigation measures was 50.24% in the current study. The odd of adherence of participants with a monthly income of ≥12801birr was 15% whereas the odds of adherence of participants who hesitate to take the COVID 19 vaccine were 10% as compared to those who don’t hesitate. Participants who had undergone COVID-19 tests adhered 6.64 times more than their counterparts. Those who believe adequate measurements are taken by the government adhered 4.6 times more than those who believe not adequate. Participants who believe as no risk of severe disease adhered 16% compared to those with fear of severe disease. Presence of households aged >60years adhered about 7.9 times more than with no households aged>60. Participants suspected of COVID-19 diagnosis adhered 5.7 times more than those not suspected.

CONCLUSION: In this study, a significant proportion of healthcare workers did not adhere to COVID-19 mitigation measures. Hence, giving special attention to healthcare workers with a monthly income of ≥12801 birr, being hesitant towards COVID-19 vaccine, being aged 26-30, and perceiving no risk of developing a severe infection is crucial to reduce non-adherence.

PMID:35930572 | DOI:10.1371/journal.pone.0272570

PLoS One. 2022 Aug 5;17(8):e0272633. doi: 10.1371/journal.pone.0272633. eCollection 2022.

ABSTRACT

In China, industrial pollution has become an urgent problem for policy makers and enterprise managers. To better support industrial development, we need to determine the effectiveness of policies through efficiency evaluation. China’s provincial industrial system consists of two stages: production and emission reduction. The emission reduction stage is composed of three parallel sub stages: solid waste treatment, waste gas treatment and wastewater treatment. In this process, the treatment capacity of industrial wastewater treatment facilities can be used as carry forward variable, which is not only the desirable output of the previous emission reduction stage, but also the input of the current emission reduction stage. Therefore, this paper proposes a dynamic hybrid two-stage data envelopment analysis (DEA) model for eco-efficiency evaluation of industrial systems, and applies it to a case study of Chinese regional industry. Applying the data collected from 2011 to 2015 to the model, the following conclusions can be drawn: (1) During the whole survey period, the average eco-efficiency was 0.9027. The overall eco-inefficiency of China’s provincial industrial system during the study period is mainly due to low efficiency of solid waste treatment and waste gas treatment. (2) The average eco-efficiency of provincial industrial system increased steadily from 2011 (0.6448) to 2014 (0.6777), but decreased slightly in 2015 (0.5908). (3) The carry forward treatment capacity of industrial wastewater treatment facilities has a remarkable impact on provincial industrial system efficiency scores, especially at the wastewater treatment stage (0.6002 vs 0.3691). (4) Provincial industrial system exists distinct geographical characteristics of low efficiency. This study has important guiding significance for policy makers and enterprise managers who are concerned about industrial pollution control.

PMID:35930566 | DOI:10.1371/journal.pone.0272633

PLoS One. 2022 Aug 5;17(8):e0272347. doi: 10.1371/journal.pone.0272347. eCollection 2022.

ABSTRACT

BACKGROUND: In the wake of the severe impact of COVID-19 on the food security of the vulnerable groups in rural areas, the issue of how to achieve the Sustainable Development Goals 2 aims to “Zero Hunger” (SDG 2) and ensure the food safety of farmers has drawn unprecedented attention. Nutritional intake is generally used as an important indicator to reflect family food security. Under the background that Chinese farmers have gradually changed from the traditional diversified production mode to the specialized production of crops, the main purpose of this article is to explore what are the impact of crop specialization on farmers’ nutritional intake? Could the specialization of crop production be taken as an important measure to ensure the food safety of farmers and achieve the SDG 2?

METHODS: Based on the micro-survey data from 866 farmer households in China, this paper using Seemingly Unrelated Regressions model, Group Regression model and Mediating Effect model to analyze the average and heterogeneous effects of crop specialization on the nutritional intake of farmers, as well as the mediating effect of income. In addition, robustness test and endogenous treatment were performed by using alternative explanatory variables and IV-2SLS method was used to estimate the results.

RESULTS: After correcting for endogenous bias, crop specialization had a significant negative impact on energy intake and fat intake of farmers at the statistical level of 5% and 1% respectively, especially for farmers in mountainous areas. Household income played a mediating effect on the effect of crop specialization on farmers’ energy and fat intake, and the proportion of the masking effect was 8.43% and 8.96% respectively. In addition, household financial capital and social capital have a significant positive impact on farmers’ nutritional intake.

CONCLUSIONS: Crop specialization cannot guarantee the food safety of farmers in terms of nutritional intake. However, when the development trend of crop specialization is irreversible, more attention should be paid to improving the level of various livelihood capital of farmers, especially those in mountainous areas, and to continuously increasing their income to ease and ultimately eliminate the negative impact of crop specialization on farmers’ nutritional intake, which finally make everyone realize the SDG 2.

PMID:35930562 | DOI:10.1371/journal.pone.0272347

JMIR Hum Factors. 2022 Aug 2. doi: 10.2196/38701. Online ahead of print.

ABSTRACT

BACKGROUND: Over the last few years, increasingly studies focused on the development of mobile apps as complementary tools to existing pharmacovigilance traditional surveillance systems for improving and facilitating adverse drug reactions reporting.

OBJECTIVE: In this study, we evaluated the potentiality of a new mobile app (vaxEffect@UniMiB) to perform longitudinal studies while preserving the anonymity of the respondents. We applied it to monitor the adverse drug reactions during COVID-19 vaccination campaign in a sample of Italian population.

METHODS: We administered vaxEffect@UniMiB to a convenience sample of academic subjects vaccinated at Milano-Bicocca University hub for COVID-19 during the Italian national vaccination campaign. vaxEffect@UniMiB was developed for both Android and iOS devices. The mobile app asks users to send their medical history and, upon every vaccine administration, their vaccination data and the adverse reactions that occurred within seven days after the vaccination, allowing the follow of reactions dynamic for each respondent. The app sends data over the web to an application server. The web server, along with receiving all user data, saves them in a SQL database server, and reminds patients to submit vaccine and adverse reactions’ data by push notifications sent to the mobile app through Firebase Cloud Messaging. On initial startup of the app, a unique user identifier was generated for each respondent, so that its anonymity is completely ensured, while enabling longitudinal studies.

RESULTS: A total of 3712 people have been vaccinated during the first vaccination wave. A total of 2733 respondents between the ages of 19 and 80, coming from the University of Milano-Bicocca and the Politecnico of Milan, participated in the survey. Overall, we collected the information about vaccination and adverse reactions to the first vaccine dose for 2226 subjects (60.0% of vaccinated), to the second dose for 1610 subjects (43.3%), and, in a non-sponsored fashion, to the third dose for 169 individuals.

CONCLUSIONS: vaxEffect@UniMiB revealed to be the first attempt in performing longitudinal studies to monitor the same subject over time in terms of the reported ADRs after each vaccine administration, while guaranteeing at the same time complete anonymity of the subjects. A series of aspects contributed to a positive involvement from people in using this application to report their ADRs to vaccination: ease of use, availability from multiple platforms, anonymity of all the survey participants and protection of the submitted data and the healthcare workers’ support.

PMID:35930561 | DOI:10.2196/38701

PLoS One. 2022 Aug 5;17(8):e0271923. doi: 10.1371/journal.pone.0271923. eCollection 2022.

ABSTRACT

CONTEXT: Multimorbidity is highly prevalent among older adults and associated with a high mortality. Prediction of mortality in multimorbid people would be clinically useful but there is no mortality risk index designed for this population. Our objective was therefore to develop and internally validate a 1-year mortality prognostic index for older multimorbid adults.

METHODS: We analysed data of the OPERAM cohort study in Bern, Switzerland, including 822 adults aged 70 years or more with multimorbidity (3 or more chronic medical conditions) and polypharmacy (use of 5 drugs or more for >30 days). Time to all-cause mortality was assessed up to 1 year of follow-up. We performed a parametric Weibull regression model with backward stepwise selection to identify mortality risk predictors. The model was internally validated and optimism corrected using bootstrapping techniques. We derived a point-based risk score from the regression coefficients. Calibration and discrimination were assessed by the calibration slope and C statistic.

RESULTS: 805 participants were included in the analysis. During 1-year of follow-up, 158 participants (20%) had died. Age, Charlson-Comorbidity-Index, number of drugs, body mass index, number of hospitalizations, Barthel-Index (functional impairment), and nursing home residency were predictors of 1-year mortality in a multivariable model. Using these variables, the 1-year probability of dying could be predicted with an optimism-corrected C statistic of 0.70. The optimism-corrected calibration slope was 0.93. Based on the derived point-based risk score to predict mortality risk, 7% of the patients classified at low-risk of mortality, 19% at moderate-risk, and 37% at high-risk died after one year of follow-up. A simpler mortality score, without the Charlson-Comorbidity-Index and Barthel-Index, showed reduced discriminative power (optimism-corrected C statistic: 0.59) compared to the full score.

CONCLUSION: We developed and internally validated a mortality risk index including for the first-time specific predictors for multimorbid adults. This new 1-year mortality prediction point-based score allowed to classify multimorbid older patients into three categories of increasing risk of mortality. Further validation of the score among various populations of multimorbid patients is needed before its implementation into practice.

PMID:35930547 | DOI:10.1371/journal.pone.0271923

PLoS One. 2022 Aug 5;17(8):e0271172. doi: 10.1371/journal.pone.0271172. eCollection 2022.

ABSTRACT

It is an increasingly accepted idea that biological diversity stabilizes ecosystem processes and the services they provide to society. By reducing biomass fluctuation, biodiversity could mitigate the impact of changing environmental conditions on rural incomes as long as people exploits a diverse set of natural assets. This effect is analogous to the risk-spreading function of financial portfolios. This paper presents evidence of the portfolio effect for an open-access artisanal fishery in an estuarine ecosystem, located in a Colombian Biosphere Reserve. Using catch statistics from 2002 to 2018, we evaluate the contribution of catch diversity to the stabilization of fishing income. We find that changes in catch composition are related to seasonal and interannual variations in salinity conditions. The portfolio effect arises from asynchronous fluctuations of fish species due to fluctuating environmental conditions. Catch diversification, instead of specialization, help achieve resilient fisheries.

PMID:35930546 | DOI:10.1371/journal.pone.0271172

PLoS One. 2022 Aug 5;17(8):e0272278. doi: 10.1371/journal.pone.0272278. eCollection 2022.

ABSTRACT

The burial rates of males and females in early modern central London were compared to investigate a possible bias towards male mortality in the plague years of 1563, 1593, 1603, 1625 and 1665. The burial records of sixteen parishes were examined and compared with the five-year periods immediately preceding each plague year when recorded burials were substantially less. A markedly higher burial rate for males was detected in each plague year but this can be partly attributed to a general preponderance of males in the central London population since there was a similar but lesser bias in non-plague years. In the plague years the difference between the frequency of male and female adult burials appears to have been enhanced by the preferential migration of women of childbearing age out of the city since fewer births were recorded in months when plague was rife. Furthermore, when a sample of households was investigated, husbands were significantly more likely to have been buried than their wives. These findings were largely applicable to the plague years of 1603, 1625 and 1665 but were far less apparent in 1563 and 1593. In general, there were more burials of boys than girls in non-plague years which is the expected consequence of their greater vulnerability to childhood diseases. This difference diminished in plague years so that the burials of girls and boys approached parity at a time when burials of children of both sexes were significantly increased. Possibly, plague did not discriminate between the sexes and this characteristic tended to mask the usual vulnerability of boys.

PMID:35930534 | DOI:10.1371/journal.pone.0272278

PLoS One. 2022 Aug 5;17(8):e0271894. doi: 10.1371/journal.pone.0271894. eCollection 2022.

ABSTRACT

BACKGROUND: The impact of COVID-19 international travel restrictions has to date, not been fully explored, and with the ongoing threat that new variants could potentially restrict movement further, it is important to consider the impacts that travel restrictions have on community members. This study aimed to evaluate the psychological and financial impact of COVID-19 travel restrictions on those separated from their partners or immediate families, as well as temporary visa holders who were unable to migrate.

METHODS: Between 4 November 2021 to 1 December 2021, we executed a cross-sectional online survey targeting three specific groups; (1) those stranded from their partners; (2) those stranded from immediate families; and (3) temporary visa holders unable to migrate or cross international borders. We collected data on respondents’ demographic profile; the nature of COVID-19-related travel impacts; depression, anxiety, and stress levels (using the validated DASS-21); and finally, data on respondents financial, employment and accommodation situation.

RESULTS: 1363 respondents located globally completed the survey. 71.2% reported financial stress, 76.8% ([Formula: see text], SD = 5.94) reported moderate-to-extremely severe depression, 51.6% ([Formula: see text], SD = 5.49) moderate-to-extremely severe anxiety, and 62.6% ([Formula: see text], SD = 5.55) moderate-to-extremely severe stress levels. Statistically significant factors associated with moderate-to-extremely severe depression, anxiety, and stress included being female, chronic illness, and experiencing financial stress. Employment during COVID-19 -specifically essential services workers or unemployed-was associated with higher levels of anxiety and stress, with only essential workers being a predictor of higher stress severity. Factors that provided psychological protection included being older and having children.

CONCLUSION: This study is one of the first to explore the impact COVID-19-related international travel restrictions have had on the financial status and psychological health of affected individuals. It highlights the significant human cost associated with the restrictions and identifies psychologically vulnerable populations. These results will help the design of targeted health and social policy responses.

PMID:35930529 | DOI:10.1371/journal.pone.0271894