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Apr 2023 DOI 10.14302/issn.2641-4538.jphi-23-4412
Bist AmritCorresponding author
Background People may have both negative and positive attitudes about other people, their way of living and those attitudes can be influenced by various factors. LGBTIQ individuals are facing various difficulties and barriers to run their daily life due to different attitudes of people. Attitudes may be different from person to person influenced by their knowledge, acceptance behaviour and understanding. By finding out the associated factors that influences the attitude of people we can change people’s view towards LGBTIQ individuals. Each and every person deserves to be treated equally regardless of their gender, sexual orientation, and preferences. Methods This was a cross-sectional study in which the sample size was 423 and the study population was nursing students. A simple random sampling method was used to select sample for the study. Self-administered questionnaire was used to collect data. The collected data was entered in EPI 3.1 and analyzed using SPSS 25. A descriptive statistic was used to find out the frequency and percentage and analysis (chi-square) was used to find out the association between the dependent and independent variables. A p-value of <0.05 was considered statistically significant. Results Results showed that 87.2% have positive attitudes towards LGBTIQ individuals, and the majority (56.6%) have knowledge about homosexuality. Similarly, more than two-thirds (82.7%) of respondents were not homophobic, and 50.4% showed positive stereotypes about LGBTIQ individuals. Religion (p=0.030), caste (p=0.001) and Family type (p=0.016) were statistically significant with regard to the attitudes of students towards LGBTIQ. Conclusion The majority of students had positive attitudes towards LGBTIQ individuals and few had negative attitudes. Almost half of the respondents had adequate knowledge about homosexuality. The majority of students were not homophobic and few were homophobic. Half had positive stereotypes and about other half had negative stereotypes.
Apr 2026 DOI 10.14302/issn.2574-450X.jom-26-6138
Dahlmann NicolausCorresponding author
Indices, based on data such as height and weight in general and in particularly the body mass index (BMI), are often used to assess overweight. However, there is limited capacity to differentiate the amount of fat mass between individuals. This review refers to an anthropometric model called Dahlmann-Body-Analysis (DBA), which uses simple anthropometric parameters to define a Reference Weight (Ref-Wt). It is based on hand circumference as a proxy for the skeletal frame and, in addition, the circumference of the abdomen as a proxy for central obesity. Processed through a network of algorithms, the DBA model enabled to differentiate the Difference Weight – that means the difference between the Actual Weight and the Reference Weight – into fat mass and skeletal muscle mass. The DBA-model resembles the 2-component model of Albert R. Behnke, which he considered as a living functional construct including essential fat. The DBA-model matches with Behnke`s 2-component model insofar, as the essential fat is replaced by a physiological amount of fat tissue. The review summarizes studies to compare DBA-derived data with Metropolitan Life Insurance tables, evaluates DBA-derived fat tissue mass with bioelectrical impedance analysis (BIA) derived results and analyses the meaning of the DBA model in clinical settings to uncover the underlying mechanisms of metabolic syndrome (MetS) pathogenesis with increasing amounts of fat mass. The model offers the opportunity to calculate changes in fat or muscle tissue in an absolute (kg) or relative (%) amount on individuals. The data suggest that the DBA-model has satisfactory prediction qualities for use as a practical tool in public health care.
Jan 2018 DOI 10.14302/issn.2474-7785.jarh-17-1911
K. Chesser AmyCorresponding author
Department of Public Health Sciences, Wichita State University
Falls continue to be a health concern for older adults. Gender and age are key predictors of falls, particularly for those with low health literacy. Data were collected by a State Health Department using the state-led supplemental question option for the Centers for Disease Control and Prevention (CDC) Behavior Risk Factor Surveillance System (BRFSS) survey. Specifically, trend data for respondents were examined by gender, geographic location and health literacy rate. Results indicated the highest mean number falls occurred with men for those within the metropolitan statistical area (MSA) city code, lowest in suburban areas. Females reported to have a higher estimated mean number of falls and injuries than males. For males, the number of falls and injuries tended to decrease with higher health literacy. The findings support the importance of addressing fall prevention for older adults. Long term implications for improving fall prevention and health literacy for older adults include impact on individual outcomes.
Oct 2015 DOI 10.14302/issn.2470-5020.jnrt-15-726
Tong Dao-MingCorresponding author
Department of Neurology, Affiliated Shu Yang People′s Hospital, XuZhou Medical University, Jiangsu, China
Background: A higher incidence of symptomatic lacunar infarction (LI) was confirmed in metropolitan areas. The aim of this study was to determinethe prevalence characteristics and early predictors of LI in a population of elderly outpatients in northern China. Methods: From February 2011 to March 2012, a retrospective cohort of new patients was selected for study, all registered neurologic outpatients of the tertiary teaching hospital in northern China. A total of 453 outpatients, clinically only having had an initial visit and a magnetic resonance imaging study of the brain, were enrolled. The prevalence characteristics and vascular risk factors of LI were assessed. Results: Of 453 symptomatic outpatients, 258(57.0%) patients had symptomatic LI. We found that the main types of symptomatic LI were nonfocal symptoms, such as dizziness and headache, dizziness/vertigo, and migraine/headache. Age, BMI, smoking, history of hypertension, duration of hypertension, existing hypertension, headache and dizziness, pure motor hemiparesis, blood glucose, hypercholesterolemia, systolic blood pressure, and ABCD2 score, were significantly higher in patients with LI than in those without LI (P<0.05). Multivariate logistic regression confirmed that hypertension ≥3years in duration (odds ratio=1.092; 95% CI, 1.019 -1.170) and a median mABCD2 score ≥4 (odds ratio=3.912; 95% CI, 2.955- 5.180) were independent, early predictors of symptomatic LI. Conclusions: The incidence of LI in Northern China was located at the higher end of range in northern China, and common type of symptomatic LI was nonfocal symptoms. Hypertension of long duration and high-risk ABCD2 scores are early predictors of symptomatic LI.