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Nevin Manimala Statistics

Real-time versus retrospective self-report assessment of loss-of-control eating in adults undergoing bariatric surgery

Obesity (Silver Spring). 2023 Jan 10. doi: 10.1002/oby.23628. Online ahead of print.

ABSTRACT

OBJECTIVE: Loss-of-control (LOC) eating is common in adults undergoing bariatric surgery. Agreement between real-time and retrospective assessment methods is unclear.

METHODS: Adults with severe obesity reported on LOC eating over the preceding 28 days via Eating Disorder Examination-Questionnaire (EDE-Q) items and in near real time over 10 days via ecological momentary assessment (EMA; involving daily repeated surveys delivered via smartphone in the natural environment), with both assessment forms completed before surgery and at 3, 6, and 12 months after surgery. Wilcoxon signed rank tests and generalized linear mixed models were used to compare participants’ EDE-Q and EMA reports of subjectively and objectively large LOC episodes across time points.

RESULTS: Participants reported subjectively large LOC episodes more frequently via EMA than EDE-Q across time points, although differences did not reach statistical significance (all p > 0.05). Conversely, objectively large LOC episodes were more frequently reported via EDE-Q than EMA, with differences reaching significance at 6 months post surgery only (p = 0.03).

CONCLUSIONS: Agreement between real-time and retrospective assessments of LOC eating varied by episode size and time elapsed in the year following surgery. These findings should be considered when designing assessment batteries for bariatric surgery-seeking adults and when extrapolating research findings across studies with diverging methods of real-time versus retrospective self-report assessment of LOC eating in adults undergoing bariatric surgery.

PMID:36627731 | DOI:10.1002/oby.23628

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Nevin Manimala Statistics

Quantities of CD3+, CD8+ and CD56+ lymphocytes decline in breast cancer recurrences while CD4+ remain similar

Diagn Pathol. 2023 Jan 10;18(1):3. doi: 10.1186/s13000-022-01278-5.

ABSTRACT

BACKGROUND: Much is known about tumor infiltrating lymphocytes (Tils) in primary breast cancer, as this has been the focus of much research in recent years, but regarding recurrent breast cancer, only few studies have been done. Our aim was to compare the quantities of Tils in primary breast carcinomas and their corresponding recurrences and to analyze the differences in the tumor Tils compositions in correlations with recurrence-free times and the clinicopathology of the tumor.

METHODS: One hundred thirty-seven breast cancer patients self-paired for primary- tumor-recurrence were divided into three groups based on the length of the recurrence-free interval. H&E-staining and immunohistochemical staining with antiCD3, antiCD4, antiCD8 and antiCD56 were performed. Differences in Tils between primaries and recurrences, between the recurrence-free interval groups, and between different clinicopathologic parameters were statistically analyzed.

RESULTS: Fewer stromal CD3+, CD8+ and CD56+ lymphocytes were found at recurrences compared to the primaries. No significant change in the percentage of CD4+ stromal lymphocytes. ER-negative primaries, PR-negative or HER2-positive tumors had more Tils in some subgroups. Ductal primaries had more Tils than lobular primaries and G3 tumors had more Tils than lower-grade tumors. The corresponding differences at recurrences could either not be detected or they were reversed. The fastest recurring group had generally more Tils than the slower groups.

CONCLUSIONS: CD4+ cell numbers did not decline from primary to recurrence in contrast to all other subclasses of lymphocytes. The proportion of CD4+ cells was higher in recurrences than in primaries. Tumors with a higher grade and proliferation rate had higher percentages of Tils. HER2+ and hormone receptor negative tumors tended to have higher Tils scores. In recurrences these differences were not seen or they were reversed.

PMID:36627701 | DOI:10.1186/s13000-022-01278-5

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Nevin Manimala Statistics

Unique genetic variants of lean nonalcoholic fatty liver disease: a retrospective cohort study

BMC Endocr Disord. 2023 Jan 10;23(1):11. doi: 10.1186/s12902-022-01234-w.

ABSTRACT

We investigated the prevalence and clinical metabolic characteristics of lean nonalcoholic fatty liver disease (NAFLD) in an elderly Chinese population and assessed the relevance of lipid markers and genetic variation. All 5,338 community subjects underwent detailed clinical and laboratory examinations and were divided into three groups: lean (Body mass index (BMI) < 23 kg/m2, n = 2,012), overweight (BMI = 23-24.9 kg/m2, n = 1,354), and obese (BMI ≥ 25 kg/m2, n = 1,972). Single nucleotide polymorphisms were selected based on those reported in previous NAFLD or obesity genome-wide association studies. The frequencies of alleles and genotypes were calculated and statistically analyzed with Pearson’s χ2 tests. One-way ANCOVA was used to test the association between positive SNPs and metabolic parameters in lean NAFLD individuals. Our results showed that the C allele frequency of rs2279026, the G allele of rs2279028, the C allele of rs780093, and the C allele frequency of rs1260326 were higher in obese NAFLD than in lean NAFLD (P < 0.05). In addition, we observed an association between the CC of rs1421085, TT of rs3751812, AA of rs8050136, and AA of rs9939609 genotypes in the FTO gene and low-density lipoprotein levels (P < 0.05). In conclusion, our findings provide a unique perspective on the prevalence, genetic characteristics, and metabolic profile of NAFLD in older lean individuals in China. This is the first study to examine the association between genetic variants in the FTO, TFAP2B and GCKR genes and NAFLD in a cohort of lean individuals.

PMID:36627697 | DOI:10.1186/s12902-022-01234-w

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Nevin Manimala Statistics

Breakfast intake and associated factors and barriers among tertiary institution students in the Western Region, Ghana

BMC Nutr. 2023 Jan 10;9(1):7. doi: 10.1186/s40795-023-00672-6.

ABSTRACT

BACKGROUND: Breakfast is considered the day’s most important meal. Skipping breakfast consumption is detrimental to health and intellectual performance. University life has tight schedules and rigorous intellectual activities often very early in the morning. This study aimed at assessing breakfast intake and its associated factors among the students of Takoradi Technical University (TTU).

METHODS: This was a descriptive cross-sectional study. Data was collected from 347 students in TTU using pre-tested questionnaire. Data collected were analysed using STATA v17. It employed descriptive and inferential statistics such as logistic regression. P-value less than 0.05 was set as statistical significance at 95% confidence interval.

RESULTS: Regular breakfast was taken by 35.7% of the students. Higher odds of regular breakfast intake were found among respondents aged 25-29 years (AOR = 3.13, 95%CI = 1.57-6.24) and those who buy their breakfast (AOR = 5.13, 95%CI = 2.16-12.19). However, lower odds of regular breakfast consumption were found among respondents who were females (AOR = 0.40, 95%CI = 0.18-0.85). Barriers to regular breakfast intake included negative mood, insufficient funds, health condition, weight management, religious reasons such as fasting, limited time/unfavourable academic schedules, daily activities/workload, and cost of food on campus.

CONCLUSION: The study stressed on the need for external and personal factors such as sex, age, religion, limited time/unfavourable academic schedules among others that hinder habitual breakfast intake to be addressed adopting innovative approach such as peer education and campaigns. University management should implement favourable policies on academic schedules, canteens/cafeterias, less stringent regulation on cooking at halls of residence.

PMID:36627687 | DOI:10.1186/s40795-023-00672-6

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Nevin Manimala Statistics

Fathers’ involvement in complementary feeding of children in Damot Woyde District, South Ethiopia: a community-based cross-sectional study

BMC Nutr. 2023 Jan 10;9(1):8. doi: 10.1186/s40795-023-00670-8.

ABSTRACT

BACKGROUND: In infant and young child feeding practice parents are the primary agents for childcare activities, such as feeding. Mothers’ role in infant and young child feeding practice has been the focus of previous research. The involvement of fathers in child-feeding practice has rarely been studied. Thus, this study aimed to assess fathers’ involvement in the complementary feeding of children and identify factors associated with it in Southern Ethiopia.

METHODS: A community-based cross-sectional study was conducted which included a survey, in-depth interviews, and focus group discussions (FGDs). The survey was conducted with 593 fathers who have at least one child of age 6-23 months. Four FGDs were conducted with fathers, and 21 in-depth interviews were conducted with fathers, mothers, and community health workers. The survey data were entered into Epi data software version 1.4.4.0 and statistical analysis was performed using SPSS software version 20. Bivariate and multivariate logistic regression analyses were performed and statistical significance was considered at p < 0.05. All interviews and FGDs were transcribed, coded, categorized, and analyzed using open code software version 4.0.2.

RESULTS: Of the total sample of 593, 50.9% of the fathers in the study were involved in their children’s complementary feeding practices. Fathers with better household income (AOR = 1.56; 95% CI: 1.09, 2.22) and good perception of child complementary feeding practice (AOR = 1.79; 95% CI: 1.28, 2.52) were more likely to be involved in their children’s complementary feeding practice. The majority of the fathers had better knowledge about the recommended complementary feeding practices.

CONCLUSIONS: Income-generating activities and behavioral change communication for fathers should be encouraged to improve their involvement in child feeding. Community-based nutrition programs should also give due attention to increasing the involvement of fathers.

PMID:36627682 | DOI:10.1186/s40795-023-00670-8

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Nevin Manimala Statistics

Morbid obesity impacts mortality among inpatients with type a aortic dissection: an analysis of the national inpatient sample

J Cardiothorac Surg. 2023 Jan 10;18(1):14. doi: 10.1186/s13019-022-02080-6.

ABSTRACT

BACKGROUND: Stanford type A aortic dissection (T(A)AD) is one of the most dangerous cardiovascular diseases and morbid obesity is associated with the prognosis of many cardiovascular diseases. The aim of this study is to investigate the impact of morbid obesity on in-hospital mortality, total hospital costs and discover the prevalence of morbid obesity among inpatients with T(A)AD.

METHODS: Patients with a primary diagnosis of T(A)AD were identified from the National Inpatient Sample database (NIS) from 2008 to 2017. These patients were categorized into non-obesity, obesity and morbid obesity. Multivariable regression models were utilized to assess the association between obesity/morbid obesity and in-hospital mortality, total cost and other clinical factors. The temporal trend in prevalence of obesity/morbid obesity in T(A)ADs and the trend of in-hospital mortality among different weight categories were also explored.

RESULTS: From the NIS database 8489 T(A)AD inpatients were identified, of which 7230 (85.2%) patients were non-obese, 822 (9.7%) were obese and 437 (5.1%) were morbid obese. Morbid obesity was associated with increased risk of in-hospital mortality (odds ratio [OR] 1.39; 95% confidence interval [CI] 1.03-1.86), 8% higher total cost compared with the non-obese patients. From 2008 to 2017, the rate of obesity and morbid obesity in patients with T(A)AD have significantly increased from 7.36 to 11.33% (P < 0.001) and from 1.95 to 7.37% (P < 0.001). Factors associated with morbid obesity in T(A)ADs included age, female, elective admission, hospital region, dyslipidemia, smoking, rheumatoid arthritis/collagen vascular diseases, chronic pulmonary disease, diabetes and hypertension.

CONCLUSIONS: Morbid obesity are connected with worse clinical outcomes and more health resource utilization in T(A)AD patients. Appropriate medical resource orientation and weight management education for T(A)AD patients may be necessary.

PMID:36627663 | DOI:10.1186/s13019-022-02080-6

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Nevin Manimala Statistics

Determinants of breast self-examination practice among women attending pastoralist health facilities, Southern Ethiopia: a cross-sectional study

BMC Womens Health. 2023 Jan 11;23(1):14. doi: 10.1186/s12905-023-02158-w.

ABSTRACT

BACKGROUND: Breast cancer remains the most serious public health problem affecting millions of women worldwide. Despite various studies regarding breast self-examination practices conducted among health professionals and students in Ethiopia, limited information was found on women attending health care services in the pastoralist community. This study aimed to identify the determinants of breast self-examination practice (BSE) among women attending pastoralist health facilities in Southern Ethiopia.

METHODS: An institutional-based cross-sectional study was conducted among 421 women who were attending family planning services in pastoralist health facilities in South Omo Zone, Southern Ethiopia from January to February 2022 using systematic random sampling to select a woman from each health facility in Jinka town. Data were collected using structured, pretested, and interviewer-administered questionnaires. Descriptive statistics such as proportions, means, and standard deviations were used to describe each relevant variable. Bivariate and multivariate logistic regression analyses were used to identify the determinants of BSE practices among women.

RESULT: The mean age of the women was 25.43 ± 6.66 years. Fifty-four percent (n = 173) of the women had heard of BSE from health professionals. Eighty-nine (21.1%) women had undergone BSE. Women who resided in the urban areas (AOR = 6.79, CI: 3.40, 13.56), attained at least primary education and above (AOR = 8.96, CI: 4.14, 19.35), heard about BSE (AOR = 4.07, CI: 2.07, 7.98), and had a family history of breast cancer (AOR = 7.46, CI = 3.27, 17.00) were significantly associated with BSE practice.

CONCLUSION AND RECOMMENDATION: Our study showed that women’s practice of BSE was lower when compared with the local studies. We recommend health care professionals and others working in the area improve ways of increasing awareness about breast cancer, including its risk, and the need for BSE.

PMID:36627644 | DOI:10.1186/s12905-023-02158-w

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Nevin Manimala Statistics

Clinician and computer: a study on doctors’ perceptions of artificial intelligence in skeletal radiography

BMC Med Educ. 2023 Jan 10;23(1):16. doi: 10.1186/s12909-022-03976-6.

ABSTRACT

BACKGROUND: Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-established challenges in reporting. This study presents novel data of clinicians’ confidence in interpreting trauma radiographs, their perception of AI in healthcare, and their support for the development of systems applied to skeletal radiography.

METHODS: A novel questionnaire was distributed through a network of collaborators to clinicians across the Southeast of England. Over a three-month period, responses were compiled into a database before undergoing statistical review.

RESULTS: The responses of 297 participants were included. The mean self-assessed knowledge of AI in healthcare was 3.68 out of ten, with significantly higher knowledge reported by the most senior doctors (Specialty Trainee/Specialty Registrar or above = 4.88). 13.8% of participants reported an awareness of AI in their clinical practice. Overall, participants indicated substantial favourability towards AI in healthcare (7.87) and in AI applied to skeletal radiography (7.75). There was a preference for a hypothetical system indicating positive findings rather than ruling as negative (7.26 vs 6.20).

CONCLUSIONS: This study identifies clear support, amongst a cross section of student and qualified doctors, for both the general use of AI technology in healthcare and in its application to skeletal radiography for trauma. The development of systems to address this demand appear well founded and popular. The engagement of a small but reticent minority should be sought, along with improving the wider education of doctors on AI.

PMID:36627640 | DOI:10.1186/s12909-022-03976-6

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Nevin Manimala Statistics

Regional disparities and influencing factors of high quality medical resources distribution in China

Int J Equity Health. 2023 Jan 10;22(1):8. doi: 10.1186/s12939-023-01825-6.

ABSTRACT

BACKGROUND: With the gradual increase of residents’ income and the continuous improvement of medical security system, people’s demand for pursuing higher quality and better medical and health services has been released. However, so far little research has been published on China’s high quality medical resources (HQMR). This study aims to understand the spatiotemporal variation trend of HQMR from 2006 to 2020, analyze regional disparity of HQMR in 2020, and further explore the main factors influencing the distribution of HQMR in China.

METHODS: The study selected Class III level A hospitals (the highest level medical institutions in China) to represent HQMR. Descriptive statistical methods were used to address the changes in the distribution of HQMR from 2006 to 2020. Lorentz curve, Gini coefficient (G), Theil index (T) and High-quality health resource density index (HHRDI) were used to calculate the degree of inequity. The geographical detector method was used to reveal the key factors influencing the distribution of HQMR.

RESULTS: The total amount of HQMR in China had increased year by year, from 647 Class III level A hospitals in 2006 to 1580 in 2020. In 2020, G for HQMR by population was 0.166, while by geographic area was 0.614. T was consistent with the results for G, and intra-regional contribution rates were higher than inter-regional contribution rates. HHRDI showed that Beijing, Shanghai, and Tianjin had the highest allocated amounts of HQMR. The results of the geographical detector showed that total health costs, government health expenditure, size of resident populations, GDP, number of medical colleges had a significant impact on the spatial distribution of HQMR and the q values were 0.813, 0.781, 0.719, 0.661, 0.492 respectively. There was an interaction between the influencing factors.

CONCLUSIONS: China’s total HQMR is growing rapidly but is relatively inadequate. The distribution of HQMR by population is better than by geography, and the distribution by geography is less equitable. Population size and geographical area both need to be taken into account when formulating policies, rather than simply increasing the number of HQMR.

PMID:36627636 | DOI:10.1186/s12939-023-01825-6

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Nevin Manimala Statistics

Outlier identification and monitoring of institutional or clinician performance: an overview of statistical methods and application to national audit data

BMC Health Serv Res. 2023 Jan 10;23(1):23. doi: 10.1186/s12913-022-08995-z.

ABSTRACT

BACKGROUND: Institutions or clinicians (units) are often compared according to a performance indicator such as in-hospital mortality. Several approaches have been proposed for the detection of outlying units, whose performance deviates from the overall performance.

METHODS: We provide an overview of three approaches commonly used to monitor institutional performances for outlier detection. These are the common-mean model, the ‘Normal-Poisson’ random effects model and the ‘Logistic’ random effects model. For the latter we also propose a visualisation technique. The common-mean model assumes that the underlying true performance of all units is equal and that any observed variation between units is due to chance. Even after applying case-mix adjustment, this assumption is often violated due to overdispersion and a post-hoc correction may need to be applied. The random effects models relax this assumption and explicitly allow the true performance to differ between units, thus offering a more flexible approach. We discuss the strengths and weaknesses of each approach and illustrate their application using audit data from England and Wales on Adult Cardiac Surgery (ACS) and Percutaneous Coronary Intervention (PCI).

RESULTS: In general, the overdispersion-corrected common-mean model and the random effects approaches produced similar p-values for the detection of outliers. For the ACS dataset (41 hospitals) three outliers were identified in total but only one was identified by all methods above. For the PCI dataset (88 hospitals), seven outliers were identified in total but only two were identified by all methods. The common-mean model uncorrected for overdispersion produced several more outliers. The reason for observing similar p-values for all three approaches could be attributed to the fact that the between-hospital variance was relatively small in both datasets, resulting only in a mild violation of the common-mean assumption; in this situation, the overdispersion correction worked well.

CONCLUSION: If the common-mean assumption is likely to hold, all three methods are appropriate to use for outlier detection and their results should be similar. Random effect methods may be the preferred approach when the common-mean assumption is likely to be violated.

PMID:36627627 | DOI:10.1186/s12913-022-08995-z