scholarly journals H. pylori were related to osteoporosis but only in female: a cross-sectional study

2020 ◽  
Author(s):  
wang jingwei ◽  
Fengxiao Dong ◽  
Licun Zhu ◽  
Hong Liu

Abstract Background Recently, more and more studies attach their attention to the extragastrointestinal effects of Helicobacter pylori (H. pylori) . Osteoporosis is an asymptomatic disease which can eventually lead to fractures, have a significant impact on the life quality of the elderly. Sex as an influential factor plays a crucial rule in the development of osteoporosis. The aim of the study is to investigate the relationship between H. pylori and osteoporosis, and find the potential, influential biomarker in different gender, in Chinese population. Method We conducted a cross-sectional study within the study population older than 50 years old, who have had regularly body examination in Beijing shijitan hospital health examination center in 2018 July to October . Participants for the patient profile, serum sample, H. pylori infection status, comorbidity, medicin e use, lumbar dual-energy X-ray absorptiometry were collected. Multivariate-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression among the normal, osteopenia, osteoporosis group with the H. pylori infection and the markers . And then we analyzed the correlation between the gender and the potential serum biomarkers. Results There are significant differences between the H. pylori infection statue with the bone density in the female(P=0.044), but not in the male(P=0.381). And in female. , H. pylori (OR=0.200,95%CI 0.043-0.938, P=0.041) is related to osteoporosis, Body Mass Index (BMI) is close to have statistical significance (OR=7.706,95%CI 0.936-63.497, P=0.058). Furthermore, pepsinogen1 (OR=0.246,95%CI 0.091-0.662 P=0.006), Waist-to-Hip Ratio (OR=7.268 OR=2.291-23.196 P=0.001), triglyceride (OR=0.310,95%CI 0.125-0.768,P=0.011),CA724(OR=1.244,95%CI 1.244-8.671 P=0.016),BMI(OR=0.071,95CI% 0.024-0.207 P≤0.001) have a significant difference within different gender, all excluding age as a confounder, all excluding age as a confounder. Conclusion Low BMI, and H. pylori positivity were risk factors for osteoporosis but only for female not for male.

2020 ◽  
Author(s):  
Wang Jingwei ◽  
Fengxiao Dong ◽  
Hui Su ◽  
Licun Zhu ◽  
Sujun Shao ◽  
...  

Abstract BackgroundRecently, an increasing number of studies have focused on the extra-gastrointestinal effects of Helicobacter pylori (H. pylori) , including metabolic syndrome, fatty liver, and rheumatic and skin diseases. Osteoporosis is an asymptomatic disease that can eventually lead to fractures and has a significant impact on the quality of life of elderly individuals. Sex is an influential factor that plays a crucial role in the development of osteoporosis. The aim of this study was to investigate the relationship between H. pylori infection and osteoporosis and to identify potential influencing factors.MethodsWe conducted a cross-sectional study of individuals older than 50 years old, who had undergone regular physical examinations at the Beijing Shijitan Hospital Health Examination Center from July to October 2018 . We evaluated the associations of osteopenia and osteoporosis with H. pylori infection and related serum markers by using multiple linear regression and logistic regression. Then, we analysed the correlation between sex and potential serum biomarkers.ResultsThere were significant relationships between H. pylori infection status and bone density in premenopausal females but not in males ( P =0.381) according to Fisher's exact test. In females , H. pylori positivity (OR=0.132, P =0.023), Body Mass Index( BMI ) (OR=28.163, P =0.021), and homocysteine (HCY) (OR=17.218, P =0.045) were associated with osteoporosis. Calcium had a trend but no statistically significant (OR=0.060, P=0.076) relationship with osteoporosis. Furthermore, the waist -to- hip ratio (OR=5.783, P =0.029), BMI (OR=0.152, P =0.014) and triglyceride levels (OR=0.201, P =0.036) were significantly different by sex, after adjusting for age as a confounder.ConclusionH. pylori positivity , BMI and HCY are associated with osteoporosis in premenopausal females . Chronic inflammation may be involved in the relationship between H. pylori and osteoporosis.


Author(s):  
Thakre S. B. ◽  
Thakre S. S. ◽  
Kaware A. C. ◽  
Adikane H.

Background: A baby’s weight at birth is a strong indicator of maternal and newborn health and nutrition. Strategies to reduce prevalence of LBW are important in order to achieve the third Sustainable Development Goals (SDG 3)-reduce child mortality. With this background the present study was undertaken to estimate proportion of LBW babies born at tribal tertiary health care institution and to find out predictors of the LBW among babies.Methods: The present cross sectional study was undertaken at tertiary health care setting. We restricted analyses to singleton live births, and following an initial descriptive summary of the deliveries, logistic regression analysis was conducted to investigate the association of various factors.Results: Our results show proportion of LBW was 17.84% in babies born at tribal tertiary health care setting. There is no significant difference of LBW in different socio-demographics of the mother. However; significant difference was observed in tribal and non-tribal women and women with low literacy lever; wherein significant predictors were related to utilization of antenatal care (ANC), ICDS services, etc. Statistical significance was ascertained based on a p<0.05.Conclusions: In this study; significant predictors were low maternal education, <4 ANC visits, inadequate consumption iron and folic acid, low hemoglobin percent level, and no additional diet at ICDS during current pregnancy. It has also provided basic information pertinent to quality of ANC care and it influence on LBW. Findings of this study are useful for maternal and child health policy makers, practitioners and those who provide health care during pregnancy


Author(s):  
Geetika Gupta ◽  
Sabita Yograj ◽  
Anil K. Gupta ◽  
Bhavna Langer ◽  
Mumtaz Goni ◽  
...  

Background: Artificial sweeteners have skyrocketed the market in the last decade and there are unlimited products available today that contain them. They are often projected as one of the easy and effortless method of cutting down calories and have gained importance in the community. They are being used as one of the dietary tools to control or prevent weight gain not only in diabetic adults but also in young healthy adults and children. There is a need to examine any possible contribution of these substances on body weight and BMI of an individual.Methods: A cross sectional study was conducted among randomly selected healthy non-diabetic subjects of both sexes in the age group 18-35 years. Those with history of intake of artificial sweeteners in the last one year (in the form of pellets or diet soda) were considered as study group and equal no of non-users were taken as comparison group for study purpose. A pretested semi structured questionnaire prepared in English language was used to collect information. Variables such as height, weight and body mass index were noted. Data was analyzed using SPSS (version 20.0).Results: There was a statistically significant difference between the two groups in terms of weight and BMI (p=0.003 and 0.002 respectively). The mean weight and BMI was more in those subjects who had consumed more than one serving of diet can per day. Sweeteners in pellet form failed to show any statistical significance association between frequency of use and BMI.Conclusions: The study suggested of a possible association between the use of artificial sweeteners and BMI. Young adults need to be sensitized about various safe weight management techniques and healthy lifestyle, rather than resorting to methods like intake of artificial sweeteners.


2020 ◽  
Author(s):  
Nasrin Saki ◽  
Maryam Mashhadi Nezhad ◽  
Hengameh Kasraei ◽  
Maryam Rezaee ◽  
Negin Fazelzadeh Haghighi ◽  
...  

Abstract Background: Skin cancer is the most common cancer in the world. The aim of this study was to evaluate the quality of life (QoL) of both patients with non-melanoma skin cancer and their relatives.Methods: This is an analytical cross-sectional study on patients with non-melanoma skin cancer and their first-degree relatives referred to dermatology clinic of Faghihi Hospital, Shiraz, Iran, 2018. Accordingly, patients and one of their companions were considered as the study group. Their responses to the questionnaires of Dermatology Life Quality Index and Family Dermatology Life Quality Index were analyzed using SPSS software, version 18. Results: The QoL of the patients enrolled in this study was relatively good. The mean of the QoL score for patients with non-melanoma skin cancer was 10.5 ± 6.2 for men and 13.2 ± 7.2 for women which showed a statistically significant difference (P = 0.027). In the patient's companion group, the mean of their QoL scores were 9.4 ± 5.6 in men and 10.9 ± 6.0 in women with no statistically significant difference (P = 0.149).In addition, the QoL in both groups were not related to the type of skin cancer, sex and family relations. Conclusion: The results of this study showed that the overall QoL of the patients and their relatives was moderate. However, a plan for improving QoLs of both groups should be considered as a part of the illness management.


2021 ◽  
Vol 3 (4) ◽  
pp. 121-124
Author(s):  
Muhammad Hamza Khalid ◽  
Rafia Ishtiaq ◽  
Laiba Fatima ◽  
Hassaan Ahmed ◽  
Aqsa Masood ◽  
...  

The main objective of our study was to determine the prevalence of burnout and to identify various socio-demographic factors which are associated with resident burnout. As a secondary objective, we aimed to assess levels of empathy among the residents. A descriptive cross-sectional study was performed among residents working in Holy Family Hospital, Benazir Bhutto Hospital, and District Headquarter Hospital, all of which are situated in district Rawalpindi of Punjab, Pakistan. Data were collected from January 2019 to April 2019 using a convenient sampling technique. The participants were requested to complete Maslach Burnout Inventory to measure burnout and Jefferson Scale of Physician Empathy to measure empathy from January 2019 to April 2019. For data analysis IBM SPSS © version 25.0 was used. Descriptive statistics were used to summarize the quantitative variables. Chi-square test was used to determine the association between burnout and categorical variables. Then, those independent variables with p-value < 0.05 were subjected to binary logistic regression to identify predictors of burnout. A P-value of < 0.05 was used as the criterion for statistical significance and OR with 95% confidence interval was used to indicate the strength of association. Independent sample t-test was used to assess empathy among the groups. The prevalence of burnout in our sample was 78%. The average burnout score of the sample was 81±13.45. Weekly working hours (p-value < 0.05) and the type of specialty (p-value < 0.05) were significantly associated with resident burnout. Residents working more than 80 hours were more prone to develop burnout [AOR 2.700(1.42-5.120)]. Medical residents were found to be at a higher risk of developing burnout as compared to surgical residents [(AOR 2.097(1.16-3.78)]. Residents working less than 80 hours per week had more empathy scores as compared to residents working more than 80 hours and this result was statistically significant (p-value < 0.05). However, no significant difference in empathy was found for age, gender, marital status, and posts. Therefore, weekly working hours should be reduced to diminish burnout and increase empathy, thereby, promoting the quality of care being delivered to the patient. Moreover, efforts should be made to reduce burnout in medicine residents so that we may promote the doctor-patient relationship.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e051821
Author(s):  
Lisa Bero ◽  
Rosa Lawrence ◽  
Louis Leslie ◽  
Kellia Chiu ◽  
Sally McDonald ◽  
...  

ObjectiveTo compare results reporting and the presence of spin in COVID-19 study preprints with their finalised journal publications.DesignCross-sectional study.SettingInternational medical literature.ParticipantsPreprints and final journal publications of 67 interventional and observational studies of COVID-19 treatment or prevention from the Cochrane COVID-19 Study Register published between 1 March 2020 and 30 October 2020.Main outcome measuresStudy characteristics and discrepancies in (1) results reporting (number of outcomes, outcome descriptor, measure, metric, assessment time point, data reported, reported statistical significance of result, type of statistical analysis, subgroup analyses (if any), whether outcome was identified as primary or secondary) and (2) spin (reporting practices that distort the interpretation of results so they are viewed more favourably).ResultsOf 67 included studies, 23 (34%) had no discrepancies in results reporting between preprints and journal publications. Fifteen (22%) studies had at least one outcome that was included in the journal publication, but not the preprint; eight (12%) had at least one outcome that was reported in the preprint only. For outcomes that were reported in both preprints and journals, common discrepancies were differences in numerical values and statistical significance, additional statistical tests and subgroup analyses and longer follow-up times for outcome assessment in journal publications.At least one instance of spin occurred in both preprints and journals in 23/67 (34%) studies, the preprint only in 5 (7%), and the journal publications only in 2 (3%). Spin was removed between the preprint and journal publication in 5/67 (7%) studies; but added in 1/67 (1%) study.ConclusionsThe COVID-19 preprints and their subsequent journal publications were largely similar in reporting of study characteristics, outcomes and spin. All COVID-19 studies published as preprints and journal publications should be critically evaluated for discrepancies and spin.


2021 ◽  
Vol 12 ◽  
pp. 215013272110251
Author(s):  
Álvaro Monterrosa-Castro ◽  
Angélica Monterrosa-Blanco ◽  
Andrea González-Sequeda

Background: Quarantine is a measure to control COVID-19 spread, resulting in an increased perception of loneliness. In turn, sleep disorders (SD) may be more frequently reported in uncertain circumstances. Objectives: To identify the association between loneliness and severe SD, in women quarantined due to the COVID-19 pandemic. Methods: A cross-sectional study carried out in women, between 40 and 79 years and living in Colombia. The women were invited through social network to complete 5 digital instruments: de Jong Gierveld Loneliness Scale, Menopause Rating Scale, Fear of COVID-19 Five-item Version, Coronavirus Anxiety Scale, and Francis Religion Scale. Bivariate analysis and adjusted logistic regression between loneliness and SD were performed. Results: 1133 women participated, half of them under 50 years old. 43.1% had emotional loneliness, 39.9% social loneliness and 43.3% general loneliness. SD were identified in 6 out of 10 women, those with mild SD presented an OR of 1.84, 1.85, and 1.64, for emotional, social and general loneliness, respectively. Loneliness was associated twice with moderate SD, and more than twice with severe SD. Very severe SD reached OR:5.81 for emotional loneliness, OR:4.38 social loneliness and OR:4.02 general loneliness. In the presence of religiosity, fear and anxiety due to COVID-19, statistical significance was retained for associations, except intense SD with general loneliness. Conclusions: SD were significantly associated with loneliness in our study population. It is important to assess sleep quality and perception of loneliness in middle-aged women, especially during periods of quarantine due to a pandemic to avoid health implications.


Author(s):  
Raquel Adjafre da Costa Matos ◽  
Rita de Cassia Coelho de Almeida Akutsu ◽  
Renata Puppin Zandonadi ◽  
Raquel Braz Assunção Botelho

Dietitians as healthcare professionals could decrease their quality of life during the SARS-COV-2 pandemic period; therefore, this study aimed to compare Brazilian dietitians’ perceptions of quality of life before and during the pandemic. This nationwide cross-sectional research aimed to evaluate Brazilian dietitians’ quality of life before and in the course of the COVID-19 pandemic, using a previously validated self-administered instrument WHO-QOL-BREF in Brazilian-Portuguese. The questionnaire was composed of 26 items (four domains) to evaluate life quality (physical, psychological, social relationship, and environment). The questionnaire also presented some sociodemographic variables and three questions about the COVID-19 pandemic. It was applied using GoogleForms® platform (Google LLC, Mountain View, CA, USA). For the statistical analysis of data, Paired T-test, Chi-squared test, and Analysis of Variance were used. A total of 1290 Brazilian dietitians replied to the instrument. Comparing quality of life (QoL) before SARS-COV-2 (3.83 ± 0.59) and during the pandemic (3.36 ± 0.66), data was statistically different. Comparing prior and in the course of the COVID-19 pandemic, all variables and domains presented statistical differences (better before the pandemic period). Among Brazilian dietitians, the psychological health domain was the most affected. The Sars-Cov-2 pandemic negatively impacted the QoL of Brazilian dietitians since health professionals face changes in their lives because of work.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.


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