OBJECTIVE

Dengue remains a critical public health concern in the Philippines. Late consultation and delayed presentation of dengue patients to hospitals constantly challenge doctors. This study aimed to identify factors contributing to late consultation of dengue patients.

This analytic, cross-sectional study examined patient, parental, socioeconomic, cultural, and health system factors influencing delayed consultation among parents of patients 0 – 18 years at Batangas Medical Center and Lipa Medix Medical Center. A total of 668 parents were enrolled. Descriptive statistics and frequency tables summarized the key characteristics. Test of proportions assessed differences between groups. Univariate logistic regression screened possible predictors, followed by multiple logistic regression to identify significant factors.

Univariate analysis identified significant predictors of late consultation, including older patient age(p=0.002), residence >50 km from the hospital (p 50 km from the hospital were 2.7 times more likely to consult late (p=0.01).

Delayed consultation was influenced by the patient age, hospital type, geographic distance from the hospital, maternal marital status, and cultural beliefs in home remedies and faith healing. Strategies to improve early consultation should consider these factors.

The cardiovascular health index (CVH) is a composite index consisting of 7 CVH metrics (CVHM) to evaluate the cardiovascular health status in the population. CVH has been proven to be closely related to a variety of health outcomes and widely used in the prevention of many diseases and the evaluation of intervention effectiveness. This review summarizes the recent distribution of CVH and CVHM in pregnant women and the relationship between CVH and CVHM with adverse health outcomes, which aims to explore the application of CVH and CVHM in preventing pregnancy-related diseases and improving the long-term health level of perinatal women and their offspring.
Pregnancy ; Humans ; Female ; Risk Factors ; Cardiovascular Diseases/prevention & control* ; Health Behavior ; Health Status

Objective: based on summarizing the simulation and prediction of tobacco control measures across the globe and sorting out the various scenarios of tobacco control measures, the potential short-term effects of seven tobacco control measures in different scenarios were systematically analyzed. Methods: Until April 2022, PubMed, Embase, EconLit, PsychINFO, and CINAHL databases were used to retrieve literature about tobacco control measures simulation and prediction models across the globe. Inclusion and exclusion criteria were strictly followed. Meta-analysis for the potential short-term effects of seven tobacco control measures in different scenarios was performed using the R software. Results: A total of 22 papers covering 16 countries were selected. Five studies were conducted in the United States, three in Mexico, and two in Italy. There were all papers with the measures to tax increases, smoke-free air laws, and mass media campaigns, 21 papers with youth access restrictions, 20 with marketing restrictions, and 19 with cessation treatment programs and health warnings. The tax increases had diverse influences on the price elasticity of different age groups. The price elasticity in the age group 15-17 years was the highest, which was 0.044 (95%CI: 0.038-0.051). The potential short-term effects of smoke-free air laws in workplaces were higher than in restaurants and other indoor public places. The effects of youth access restrictions were greater in the age group <16 years than in the age group 16-17. The stronger the implementation of other measures, the greater the potential short-term effects. A comparison of seven tobacco control measures showed that the cessation treatment programs increase in cessation rate was the highest, 0.404 (95%CI: 0.357-0.456). The reduction in smoking rate and reduction in initiation rate of youth access restrictions strongly enforced and publicized was the highest in the age group <16 years, 0.292 (95%CI: 0.269-0.315), and 0.292 (95%CI: 0.270-0.316). Conclusions: The potential short-term effects of seven tobacco control measures in different scenarios were evaluated more accurately and objectively through Meta-analysis. In the short term, cessation treatment programs will substantially increase smoking cessation rates, and strong youth access enforcement will sharply reduce smoking and initiation rates among adolescents under 16. These results also offer strong data-related support for the simulation and prediction of tobacco control measures in China and other countries.
Adolescent ; Humans ; United States ; Tobacco Control ; Prevalence ; Computer Simulation ; Smoking Cessation ; Health Behavior ; Smoking Prevention

BACKGROUND: There is substantial evidence on the association between lower education and unhealthy behaviors. However, the mechanism underlying this association remains unclear. This study aimed to examine whether income, health literacy, and social support mediate the association between education and health-related behaviors. METHODS: A questionnaire survey was conducted in metropolitan areas in Japan from 2010 to 2011 among residents aged 25-50 years. Data from 3663 participants were used in this study. Health literacy was measured using the Communicative and Critical Health Literacy scale. Health-related behaviors were current smoking, poor dietary habits, hazardous drinking, and lack of exercise. Poisson regression analyses with robust variance estimators were conducted to examine the associations between education and these health-related behaviors. Multiple mediation analyses were conducted to estimate the magnitudes of the mediating effects of income, health literacy, and social support on these associations. RESULTS: Less educated participants had higher risks of all unhealthy behaviors. Income mediated the associations of education with smoking (6.4%) and exercise (20.0%). Health literacy mediated the associations of education with dietary habits (15.4%) and exercise (16.1%). Social support mediated the associations of education with dietary habits (6.4%) and exercise (7.6%). The education-drinking association was mediated by income in the opposite direction (-10.0%). The proportions of the total effects mediated by income, health literacy, and social support were 9.8% for smoking, 24.0% for dietary habits, -3.0% for drinking, and 43.7% for exercise. CONCLUSIONS These findings may provide clues for designing effective interventions to reduce educational inequalities in health-related behaviors.
Humans ; Japan ; Health Behavior ; Educational Status ; Exercise ; Surveys and Questionnaires ; Health Literacy ; Cognition

Objective: To evaluate the effects of sedentary behavior/screen time on mental health of college students by Meta-analysis based on the results of literature retrieval and provide theoretical basis for the improvement of college students' mental health. Methods: The original research literatures about sedentary behavior (including screen time) and college students' mental health published as of 14 July 2022 were retrieved from PubMed, Embase, Cochrane Library, CNKI, VIP and Wanfang data. Data were extracted from the included studies and scored by one author in accordance with the proposed programme, and quality score was reviewed by another author. The literature that met the inclusion criteria was systematically reviewed and Meta-analysis was carried out by software Stata 14.2 based on the data from the literatures. Results: A total of 36 studies met the inclusion criteria, including 35 observational studies and 1 interventional study. There are 4 papers about the effects of sedentary behavior and 9 papers about the effects of screening time on depression in college students and 4 papers about the effects of sedentary behavior/screening time on anxiety in college students were used for a Meta-analysis, and the other studies were also analyzed. The Meta-analysis on the effects of sedentary behavior on depression in college students showed that there was a significant positive correlation between higher level sedentary behavior and increased risk for depression (OR=1.07,95%CI:1.05-1.10). Subgroup analysis indicated that there was no significant correlation between higher level sedentary behavior and depression (OR=1.74, 95%CI:0.93-3.25) in the unadjusted confounding factor model, but there was significance positive correlation after adjusting confounding factors (OR=2.15, 95%CI:1.18-3.90). Meta-analysis on the effects of screen time on depression in college students showed that longer screen time were significantly positively correlated with higher depression level (OR=1.03, 95%CI: 1.02-1.05). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, longer screen time was significantly positively correlated with depression (OR=1.27, 95%CI: 1.13-1.42; OR=1.45, 95%CI: 1.18-1.79) , respectively. Meta-analysis on the effects of sedentary behavior on anxiety showed that longer screen time was significantly positively correlated with increased anxiety risk (OR=1.44, 95%CI: 1.31-1.58). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, there was a significant positive correlation between longer screen time and anxiety (OR=1.47, 95%CI: 1.31-1.65; OR=1.38, 95%CI:1.17-1.62). The analysis for the literatures which were not eligible for Meta-analysis found that sedentary behavior/screen time was significantly associated with stress and other mental health in college students. Conclusions: Sedentary behavior or screen time is significantly negatively correlated with college students' mental health, in particular, resulting in depression and anxiety. These effects might be be different between weekdays and weekend days.
Humans ; Mental Health ; Depression/diagnosis* ; Sedentary Behavior ; Screen Time ; Students/psychology*

OBJECTIVE: To present an approach to phenotyping ACEs and explore the association between ACEs and adolescent health risky behaviors based on the social context of China. METHODS: Totally, 5,726 adolescents aged 12-18 years were investigated about their ACEs in the family, peer, school, and personal domains and the occurrence of six types of risky health behaviors (i.e., smoking, drinking, sexual intercourse, self-harm, and suicidal ideation and attempts). Latent class analysis (LCA) was used to explore the ACE patterns. RESULTS: Six latent classes of ACEs were identified, including low adversity, school adversity, school adversity and peer victimization, peer victimization, maltreatment and peer victimization, and high adversity, and associated with risky health behaviors in adolescents. Being physically punished by a teacher, experiencing sexual abuse, and experiencing family trauma most strongly differentiated from the six ACE classes and were correlated with an increased risk for risky adolescent health behaviors. CONCLUSION This study supports a positive association between ACEs and risky adolescent health behaviors. Peer victimization, school adversity and associated contexts need to be considered in future ACE studies.
Adverse Childhood Experiences ; Health Risk Behaviors ; Humans ; Phenotype ; Self-Injurious Behavior/epidemiology*

Objective: To analyze the daily drinking behavior and related factors of primary and middle school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) pilot regions. Methods: Multi-stage stratified random cluster sampling method was used to select one to three national pilot counties in 22 provinces in central and western China where the NIPRCES was implemented in 2019. According to different feeding patterns, two primary schools and two middle schools were selected as key monitoring schools. One or two classes were selected from grade 3 to grade 9. The student questionnaire was used to collect the basic information and daily drinking behavior. Taking whether the drinking water ≥5 cups every day as the dependent variable, multivariate logistic regression model was used to analyze the related factors of drinking behavior among students. Results: A total of 27 374 students were included. On average, primary and middle school students in the regions where NIPRCES was implemented had 3.9 cups of water every day. Logistic regression model showed that boys (OR=1.230, P<0.001), primary school students (OR=1.379, P<0.001), father worked outside the home (OR=1.169, P<0.001), both parents worked outside the home (OR=1.228, P<0.001), non-resident students (OR=1.142, P<0.001), the school in the village (OR=1.638, P<0.001) or township (OR=1.358, P<0.001), school feeding (OR=1.252, P<0.001), the school building with flush toilets (OR=1.384, P<0.001) and the central regions (OR=1.300, P<0.001) students were more likely to drink ≥5 cups water every day. Conclusion: The water consumption of primary and middle school students in the pilot regions of NIPRCES is low, and their drinking behaviors are affected by many factors.
Male ; Humans ; Health Behavior ; China ; Drinking Behavior ; Students ; Drinking Water ; Surveys and Questionnaires

Type 2 diabetes mellitus (T2DM) has become a significant public health problem affecting the health of our population. Physical inactivity is a significant risk factor for the occurrence and development of major chronic diseases, including T2DM, and appropriate physical activity patterns and levels have positive implications for the prevention and treatment of T2DM. This paper reviews the progress and results of domestic and international studies on the relationship between physical activity and the occurrence, development, and mortality of T2DM in recent years to support the improvement of strategies and measures for the prevention and management of diabetes in general and high-risk populations in China.
Humans ; Diabetes Mellitus, Type 2 ; Exercise ; Sedentary Behavior ; Risk Factors ; Public Health

OBJECTIVES: To investigate the psychological and behavioral problems and related influencing factors in children and adolescents during the coronavirus disease 2019 (COVID-19) epidemic. METHODS: China National Knowledge Infrastructure, Wanfang Data, PubMed, and Web of Science were searched using the method of subject search for articles published up to March 31, 2022, and related data were extracted for Scoping review. RESULTS: A total of 3 951 articles were retrieved, and 35 articles from 12 countries were finally included. Most of the articles were from the journals related to pediatrics, psychiatry, psychology, and epidemiology, and cross-sectional survey was the most commonly used research method. Psychological and behavioral problems in children and adolescents mainly included depression/anxiety/stress, sleep disorder, internet behavior problems, traumatic stress disorder, and self-injury/suicide. Influencing factors were analyzed from the three aspects of socio-demographic characteristics, changes in living habits, and ways of coping with COVID-19. CONCLUSIONS During the COVID-19 epidemic, the psychological and behavioral problems of children and adolescents in China and overseas are severe. In the future, further investigation and research can be carried out based on relevant influencing factors to improve the psychological and behavioral problems.
Adolescent ; Anxiety/etiology* ; COVID-19 ; Child ; China/epidemiology* ; Cross-Sectional Studies ; Depression/epidemiology* ; Humans ; Mental Health ; Problem Behavior

INTRODUCTION: Adults aged ≥60 years contribute to disproportionately higher visits to the emergency departments (ED). We performed a systematic review to examine the reasons why older persons visit the ED in Singapore. METHODS: We searched Medline, Embase and Scopus from January 2000 to December 2021 for studies reporting on ED utilisation by older adults in Singapore, and included studies that investigated determinants of ED utilisation. Statistically significant determinants and their effect sizes were extracted. Determinants of ED utilisation were organised using Andersen and Newman's model. Quality of studies was evaluated using Newcastle Ottawa Scale and Critical Appraisal Skills Programme. RESULTS: The search yielded 138 articles, of which 7 were used for analysis. Among the significant individual determinants were predisposing (staying in public rental housing, religiosity, loneliness, poorer coping), enabling (caregiver distress from behavioural and psychological symptoms of dementia) and health factors (multimorbidity in patients with dementia, frailty, primary care visit in last 6 months, better treatment adherence). The 7 included studies are of moderate quality and none of them employed conceptual frameworks to organise determinants of ED utilisation. CONCLUSION The major determinants of ED utilisation by older adults in Singapore were largely individual factors. Evaluation of societal determinants of ED utilisation was lacking in the included studies. There is a need for a more holistic examination of determinants of ED utilisation locally based on conceptual models of health seeking behaviours.
Aged ; Aged, 80 and over ; Emergency Service, Hospital ; Frailty ; Health Behavior ; Humans ; Middle Aged ; Singapore