No abstract available.
Biomedical Research ; Research Design ; Sex Characteristics ; Sex Factors ; Oral Health

Animals ; Callithrix ; Sex Factors ; Vocalization, Animal ; Sex Characteristics

A study was carried out in two years 2001-2001 in the border district of Huong Hoa, Quang Tri province to evaluate the malaria situation including clinical malaria cases, parasite positive cases and the affecting factors. Five communes representative for bordering and central areas of the district were selected for the study. A total of 4,620 local people were sampled. In 2001 a sample of 2,527 was studied showing a malaria infection rate of 9.10% (230/2,527) and clinical rate of 6.13% (155/2,527). In 2002 a sample of 2,093 local people was studied showing a malaria infection rate of 2.05% (43/2,093) and clinical rate of 2.58% (54/2,093). The cross-sectional surveys including interviews of local people involved in the study revealed the relationship between the malaria prevalence and affecting factors as geography, the knowledge about malaria and the mosquito net use rate. It was also found in 2002 that there was no relationship between malaria prevalence, ages and sex
Malaria ; epidemiology ; knowledge ; Age Factors ; sex

Adolescent ; Humans ; Sex Factors ; Dissociative Disorders

OBJECTIVE: Computed tomography (CT), rather than conventional 2-dimensional radiography, was used to scan and measure pelvic parameters. The results were compared with measurements using X-ray. METHODS: Pelvic parameters were measured using both CT and X-ray in 254 patients who underwent both abdomino-pelvic CT and X-ray at the pelvic site. We assessed the similarity of the pelvic parameters between the 2 exams, as well as the correlations of pelvic parameters with sex and age. RESULTS: The mean values of the subjects’ pelvic parameters measured on X-ray were: sacral slope (SS), 31.6°; pelvic tilt (PT), 18.6°; and pelvic incidence (PI), 50.2°. The mean values measured on CT were: SS, 35.1°; PT, 11.9°; and PI, 47.0°. PT was found to be 4.07° higher on X-ray and 2.98° higher on CT in women, with these differences being statistically significant (p < 0.001, p < 0.001). PI was 4.10° higher on X-ray and 2.78° higher on CT in women, with these differences also being statistically significant (p < 0.001, p=0.009). We also observed a correlation between age and PI. For men, this correlation coefficient was 0.199 measured using X-ray and 0.184 measured using CT. For women, this correlation coefficient was 0.423 measured using X-ray and 0.372 measured using CT. CONCLUSION: When measured using CT compared to X-ray, SS increased by 3.5°, PT decreased by 6.7°, and PI decreased by 3.2°. There were also statistically significant differences in PT and PI between male and female subjects, while PI was found to increase with age.
Age Factors ; Female ; Humans ; Incidence* ; Male ; Posture* ; Radiography ; Sex Factors

Cardiac Resynchronization Therapy ; Humans ; Sex Factors ; Treatment Outcome

BACKGROUND: Individual health behavior is related to environmental and social structures. To promote physical activity (PA) effectively, it is necessary to consider structural influences. Previous research has shown the relevance of the built environment. However, sex/gender differences have yet not been considered. The aim of this systematic review was to identify built environmental determinants of PA by taking sex/gender into account. METHODS: A systematic literature search was carried out using six electronic databases (PubMed, CINAHL, SportDiscus, PsycInfo, Scopus, Web of Knowledge) to identify studies analyzing the effect of changes in the built environment on PA, taking sex/gender into account. To be included, studies had to be based on quantitative data and a longitudinal study design. Changes in the built environment had to be objectively assessed. The methodological quality of the studies was examined using the QualSyst tool for examining risk of bias. RESULTS: In total, 36 studies published since 2000 were included in this review. The data synthesis revealed that the majority of reviewed studies found the built environment to be a determinant of PA behavior for both, males and females, in a similar way. Creating a new infrastructure for walking, cycling, and public transportation showed a positive effect on PA behavior. Findings were most consistent for the availability of public transport, which was positively associated with overall PA and walking. The improvement of walking and cycling infrastructure had no effect on the overall level of PA, but it attracted more users and had a positive effect on active transportation. In women, the availability of public transport, safe cycling lanes, housing density, and the distance to daily destinations proved to be more relevant with regard to their PA behavior. In men, street network characteristics and road environment, such as intersection connectivity, local road density, and the presence of dead-end roads, were more important determinants of PA. CONCLUSION This review sheds light on the relevance of the built environment on PA. By focusing on sex/gender differences, a new aspect was addressed that should be further analyzed in future research and considered by urban planners and other practitioners.
Built Environment ; Exercise ; Female ; Humans ; Longitudinal Studies ; Male ; Sex Factors

Background: Cardiovascular disease is the leading cause of death in both genders worldwide. Gender differences in clinical presentation and treatment have been reported. Objective: This study aims to describe and compare the cardiovascular risk factors and management strategies for primary prevention among Filipinos. Methods: An analytical cross-sectional study was done on 2,082 patients at the Preventive Cardiology Clinic of a tertiary referral center in Quezon City, Philippines from January 1, 2002 to December 31, 2017. Results: Seventy-two percent of the patients were females with a higher mean age compared to males (57.67 + 10.50 vs 55.66 + 11.82, p 0.002). There were more women who were unemployed (75.2 vs 45.9, p<0.001). There was no significant difference in the prevalence of hypertension (68.6% vs 67.9%, p=0.542) and type 2 diabetes mellitus (19.8% vs 21.5%, p=0.437) in both genders. Beta blockers (24.1%), calcium channel blockers (22.9%) and angiotensin receptor blockers (22.1%) were the most commonly prescribed anti-hypertensive drugs. Biguanides were the most commonly prescribed glucose-lowering drug (11.3%). Compared to men, more women had dyslipidemia (51.8% vs 38.6%, p<0.001). Statins were more commonly prescribed in women (22.4 vs 18.1%, p=0.033). Conclusion There were significantly more women seen in our Preventive Cardiology clinic. Smoking and alcoholic drinking were higher in males. BMI, total cholesterol and HDL were significantly higher in females than in males.
Sex Characteristics ; Heart Disease Risk Factors ; Primary Prevention ; Preventive Medicine

Screening can effectively reduce mortality and morbidity in some diseases. In Korea, a practical national screening program for chronic disease was launched in 1995 and several problems were discussed. The program focused primarily on disease detection without follow-up care. In addition, the test items were uniform regardless of subject's age, sex, or risk factors; and people with low socioeconomic status were excluded. To improve the quality of program, a new national screening program called the "National Screening Program for Transitional Ages (NSPTA)" was initiated in 2007. It targeted two age groups, ages 40 and 66, because these ages are important transition periods in one's lifecycle. Follow-up care and education for lifestyle modification has been intensified; screening tests for mental health problems and osteoporosis have been introduced. The pool of eligible participants has been expanded to include people supported by Medicaid. This review aimed to describe the contents, process, and characteristics of the NSPTA and to compare it with the previous program. In addition, some preliminary results from 2007 to 2009 were presented. Lastly, we suggest several points that need to be considered to improve the program such as enhancement of participation rates, necessity of specialized committee and research for current screening program to be supported by evidence.
Age Factors ; Delivery of Health Care ; Humans ; *Mass Screening ; Primary Prevention ; Republic of Korea ; Risk Factors ; Sex Factors

OBJECTIVES: The physical activity of Korean adolescents and its distribution based on social characteristics have not yet been fully assessed. This study intends to reveal the distribution of physical activity by its subgroups and offer possible explanatory variables. METHODS: The 3rd Korea Youth Risk Behavior Web-based Survey was analyzed for this study. The appropriateness of physical activity was defined by Korea's Health Plan 2010 and physical inactivity was assessed independently. Family affluence scale, parents' education levels, subjective economic status, grade, and school location were considered explanatory variables. All statistical analysis was conducted using SAS ver. 9.1. RESULTS: The proportion of participants engaging in vigorous physical activity was high in males (41.6%), at a low grade (38.5%), within the high family affluence scale group (35.5%). The distribution of participants engaging in moderate physical activity showed similar patterns, but the overall proportion was lower (9.8%). Low family affluence and students with lower subjective economic status reported a higher prevalence of physical inactivity. In multiple logistic regression analysis for physical activity, significant factors included family affluence scale (p<0.05). For physical inactivity, family affluence scale, parents education levels, and subjective economic status were included as significant factors (p<0.05). CONCLUSIONS: The results suggest that the physical activity and inactivity of adolescents may be affected by socioeconomic variables, such as family affluence scale. This implies the need to take proper measures to address these socio-economic inequalities.
Adolescent ; *Exercise ; Female ; Health Behavior ; Health Surveys ; Humans ; Korea/epidemiology ; Male ; Prevalence ; Sex Factors ; Socioeconomic Factors