Determinants of early chronic kidney disease in patients with recently diagnosed type 2 diabetes mellitus: a retrospective study from the Taiwan Diabetes Registry.

BACKGROUND: We tried to identify the risk factor associate with early chronic kidney disease (CKD) in recently diagnosed type 2 diabetes mellitus patients by utilizing real-world data from Taiwan Diabetes Registry. MATERIALS AND METHODS: Patients with type 2 diabetes mellitus recently diagnosed within 1 year. We divided the study participants into control group and early CKD group. Early CKD was defined as either CKD stage G1 with albuminuria, CKD stage G2 with albuminuria, or CKD stage G3a regardless of albuminuria (Urine-albumin to creatinine ratio (UACR) ≥ 3 mg/mmol). Control group was defined as CKD G1 or CKD G2 without albuminuria. Logistic regression analyses were used to compare differences in clinical characteristics between the subgroups. Linear regression models were employed to examine the factors predicting estimated glomerular filtration rate (eGFR) and UACR. RESULTS: Total 2217 patients with recently diagnosed type 2 diabetes mellitus were included. 1545 patients were assigned to control group and 618 patients were assigned to the early CKD group. Age (odds ratio (OR) 1.215, 95% confidence interval [CI] 1.122-1.316), systolic blood pressure (OR 1.203, 95% CI 1.117-1.296), glycated hemoglobin (OR 1.074, 95% CI 1.023-1.129) and triglyceride (OR 2.18, 95% CI 1.485-3.199) were found to be significant risk factors. Further, presence of bidirectional association between UACR and eGFR was found. CONCLUSIONS: We reported factors associated with early CKD in recently diagnosed type 2 diabetes mellitus patients. Variables that associated with eGFR and UACR were identified respectively, included a mutual influence between UACR and eGFR.

New insights into three trajectories of omicron-related all-cause death reduced by COVID-19 booster vaccination.

BACKGROUND: The trajectories of all-cause deaths linked to omicron infections are rarely studied, especially in relation to the efficacy of booster shots. For assessing three epidemiological death trajectories, including dying from COVID-19, dying with COVID-19, and non-COVID-19 death, we offer a new COVID-19-and-death competing risk model that deals with the primary pathway (e.g., dying from COVID-19) competing with two other pathways. METHODS: We applied this model to track three trajectories: deaths directly from COVID-19, deaths with COVID-19 as a contributing factor, and indirect non-COVID-19 deaths. The study used data from a Taiwanese cohort, covering periods of Omicron subvariants BA.2, BA.5, and BA.2.75. It focused on the effectiveness of monovalent and bivalent booster vaccines against these death trajectories. RESULTS: The highest mortality was observed during the BA.2 phase, which decreased in the BA.5 period and increased again in the BA.2.75 period. Analyzing each trajectory, we noted similar trends in deaths directly from and with COVID-19, while non-COVID-19 deaths remained stable across subvariants. Booster vaccines reduced all-cause mortality by 58% (52%-62%) for BA.2, 70% (65%-75%) for BA.5%, and 75% (70%-80%) for BA.2.75, compared to incomplete vaccination. The reduction in deaths directly from COVID-19 was 66% (61%-72%) for BA.2, 78% (72%-84%) for BA.5%, and 85% (76%-93%) for BA.2.75. For deaths with COVID-19, the figures were 46% (36%-55%), 76% (68%-84%), and 90% (86%-95%). Additionally, the booster shots decreased non-COVID-19 deaths by 64% (63%-66%) for BA.2, 38% (36%-40%) for BA.5, and 19% (17%-21%) for BA.2.75. CONCLUSION: Our competing risk analysis is effective for monitoring all-cause death trajectories amidst various Omicron infections. It provides insights into the impact of booster vaccines, especially bivalent ones, and highlights the consequences of inadequate healthcare for vulnerable groups.

Do abnormal screening results for chronic diseases motivate inactive people to start exercising? A community-based prospective cohort study in Changhua, Taiwan.

OBJECTIVE: Exercise improves health, but illnesses can cause changes in exercise behavior, including starting or stopping. This study investigated the effects of chronic disease screening on inactive individuals' exercise behavior and analyzed the impact of age and chronic disease history on this relationship using stratified analysis. METHODS: Using a community-based prospective observational cohort design and data from the Changhua Community-Based Integrated Screening (CHCIS) dataset from 2005 to 2020, we examined 12,038 people who were screened at least twice and self-reported having never exercised at their first screening. Changes in exercise behavior were classified as "initiating exercise" and "remaining inactive." We obtained chronic disease screening results from CHCIS records, which included measurements of waist circumference, blood glucose, blood pressure, triglycerides, and high-density lipoproteins. SAS version 9.4 was used for COX proportional hazards regression. RESULTS: The findings indicated that abnormal waist circumference and blood pressure increased the likelihood of initiating exercise compared to normal results. Age stratification showed that those aged 40-49 with abnormal results were more likely to start exercising than normal participants, but not those under 40 or over 65. When stratified by chronic disease history, abnormal screening results correlated with exercise initiation only in groups without chronic disease history, except for those with a history of hyperlipidemia. CONCLUSIONS: This is the first study to demonstrate that abnormal screening results may influence exercise initiation in individuals who have never exercised, and this association varies by screening item, age, and disease history.

Long-term PM2.5 exposure is associated with asthma prevalence and exhaled nitric oxide levels in children.

BACKGROUND: Exhaled nitric oxide concentration (FENO) is a marker of airway inflammation. This study aimed to evaluate the association of air pollution exposure with FENO levels and asthma prevalence with respiratory symptoms in school children. METHODS: We analyzed 4736 school children who reside in six townships near industrial areas in central Taiwan. We evaluated asthmatic symptoms, FENO, and conducted the environmental questionnaire. The personal exposure of PM2.5, NO, and SO2 was estimated using land-use regression models data on children's school and home addresses. RESULTS: Annual exposure to PM2.5 was associated with increased odds of physician-diagnosed asthma (OR = 1.595), exercise-induced wheezing (OR = 1.726), itchy eyes (OR = 1.417), and current nasal problems (OR = 1.334) (P < 0.05). FENO levels in the absence of infection were positively correlated with age, previous wheezing, allergic rhinitis, atopic eczema, near the road, and for children with high exposure to PM2.5 (P < 0.05). An increase of 1 µg/m3 PM2.5 exposure was significantly associated with a 1.0% increase in FENO levels for children after adjusting for potential confounding variables, including exposures to NO and SO2. CONCLUSIONS: Long-term exposures to PM2.5 posed a significant risk of asthma prevalence and airway inflammation in a community-based population of children. IMPACT: Annual exposure to PM2.5 was associated with increased odds of physician-diagnosed asthma and nasal problems and itchy eyes. Long-term exposures to PM2.5 were significantly associated with FENO levels after adjusting for potential confounding variables. This is first study to assess the association between FENO levels and long-term air pollution exposures in children near coal-based power plants. An increase of 1 µg/m3 annual PM2.5 exposure was significantly associated with a 1.0% increase in FENO levels. Long-term exposures to PM2.5 posed a significant risk of asthma prevalence and airway inflammation in a community-based population of children.

Using the Diabetes Care System for a County-Wide Hepatitis C Elimination: An Integrated Community-Based Shared Care Model in Taiwan.

INTRODUCTION: Despite the serious risks of diabetes with hepatitis C virus (HCV) infection, this preventable comorbidity is rarely a priority for HCV elimination. We aim to examine how a shared care model could eliminate HCV in patients with diabetes (PwD) in primary care. METHODS: There were 27 community-based Diabetes Health Promotion Institutes in each township/city of Changhua, Taiwan. PwD from these institutes from January 2018 to December 2020 were enrolled. HCV screening and treatment were integrated into diabetes structured care through collaboration between diabetes care and HCV care teams. Outcome measures included HCV care continuum indicators. Township/city variation in HCV infection prevalence and care cascades were also examined. RESULTS: Of the 10,684 eligible PwD, 9,984 (93.4%) underwent HCV screening, revealing a 6.18% (n = 617) anti-HCV seroprevalence. Among the 597 eligible seropositive individuals, 507 (84.9%) completed the RNA test, obtaining 71.8% positives. Treatment was initiated by 327 (89.8%) of 364 viremic patients, and 315 (86.5%) completed it, resulting in a final cure rate of 79.4% (n = 289). Overall, with the introduction of antivirals in this cohort, the prevalence of viremic HCV infection dropped from 4.44% to 1.34%, yielding a 69.70% (95% credible interval 63.64%-77.03%) absolute reduction. DISCUSSION: Although HCV prevalence varied, the care cascades achieved consistent results across townships/cities. We have further successfully implemented the model in county-wide hospital-based diabetes clinics, eventually treating 89.6% of the total PwD. A collaborative effort between diabetes care and HCV elimination enhanced the testing and treatment in PwD through an innovative shared care model.

Planning, implementing, and evaluating Hepatitis C virus elimination via collaborative community-based care cascade: age-period-cohort model for estimating demand from antecedent anti-HCV survey.

BACKGROUND: Estimating the demand for HCV care cascade plays an important role in planning, monitoring, and assessing the performance of introducing a new community-based hepatitis C virus (HCV) elimination program but such an analytic and systematic approach has been barley addressed. METHODS: A new collaborative care program for HCV elimination in the Changhua Community of Taiwan has been offered to a total of 895,353 residents since 2018. To grasp the variation of demand for HCV care cascade across demographic and geographic features in the planning stage, we applied the age-period-cohort spatial model to the antecedent anti-HCV survey enrolling 123,617 participants aged 30 years or older between 2005 and 2018. Based on this precise denominator, we then employed a "before-and-after" study design to routinely evaluate whether the WHO criteria of 90% RNA positive diagnosis and 80% successful treatments could be reached. RESULTS: The overall demand for HCV care cascade was 4.28% (HCV infection) of the underlying population but a declining trend was noted. The early cohort had a higher demand, whereas the demand of the young cohort decreased with each passing year. The demand also differed by township. The demand, allowing for these variations, for antiviral treatment was 22,362, yielding the WHO target of 12,880 for achieving HCV elimination. With 11,844 successful treatments, the effectiveness of elimination has already reached 92% (11,844/12,880) by the end of 2022. CONCLUSIONS: The demand for HCV care cascade allows health care decision-makers to timely and properly assess the performance of a novel community-based collaborative care program in achieving HCV elimination.

Community-Based Digital Contact Tracing of Emerging Infectious Diseases: Design and Implementation Study With Empirical COVID-19 Cases.

BACKGROUND: Contact tracing for containing emerging infectious diseases such as COVID-19 is resource intensive and requires digital transformation to enable timely decision-making. OBJECTIVE: This study demonstrates the design and implementation of digital contact tracing using multimodal health informatics to efficiently collect personal information and contain community outbreaks. The implementation of digital contact tracing was further illustrated by 3 empirical SARS-CoV-2 infection clusters. METHODS: The implementation in Changhua, Taiwan, served as a demonstration of the multisectoral informatics and connectivity between electronic health systems needed for digital contact tracing. The framework incorporates traditional travel, occupation, contact, and cluster approaches and a dynamic contact process enabled by digital technology. A centralized registry system, accessible only to authorized health personnel, ensures privacy and data security. The efficiency of the digital contact tracing system was evaluated through a field study in Changhua. RESULTS: The digital contact tracing system integrates the immigration registry, communicable disease report system, and national health records to provide real-time information about travel, occupation, contact, and clusters for potential contacts and to facilitate a timely assessment of the risk of COVID-19 transmission. The digitalized system allows for informed decision-making regarding quarantine, isolation, and treatment, with a focus on personal privacy. In the first cluster infection, the system monitored 665 contacts and isolated 4 (0.6%) cases; none of the contacts (0/665, 0%) were infected during quarantine. The estimated reproduction number of 0.92 suggests an effective containment strategy for preventing community-acquired outbreak. The system was also used in a cluster investigation involving foreign workers, where none of the 462 contacts (0/462, 0%) tested positive for SARS-CoV-2. CONCLUSIONS: By integrating the multisectoral database, the contact tracing process can be digitalized to provide the information required for risk assessment and decision-making in a timely manner to contain a community-acquired outbreak when facing the outbreak of emerging infectious disease.

Fear of falling as a mediator in the association between social frailty and health-related quality of life in community-dwelling older adults.

BACKGROUND: Social frailty is associated with Fear of Falling (FoF) and health-related quality of life (HrQoL). However, how social frailty simultaneously influences FoF and HrQoL remains unclear. The study aims to understand the links between social frailty, FoF, and HrQoL in older adults and the mediating role of FoF in the relations between social frailty and HrQoL. METHODS: In this cross-sectional survey, 1,933 community-dwelling older adults from Changhua County, Taiwan, were interviewed using a self-administrated questionnaire. In total, 1,251 participants with complete data were included for analysis. Data were analyzed using the SPSS PROCESS macro. A simple mediation was employed using social frailty as the independent variable, FoF as the mediator variable, and HrQoL as the outcome variable. RESULTS: Social frailty was associated with HrQoL and indirectly with HrQoL through FoF, and FoF was directly associated with HrQoL. Of the 5-item social frailty index, "going out less frequently" was correlated with HrQoL and indirectly with HrQoL through FoF. Individuals who felt unhelpful toward family or friends had the worst physical HrQoL and did not talk to someone daily had the most negative influence on mental HrQoL. CONCLUSIONS: Social frailty can directly and indirectly, through FoF decrease HrQoL. It also emphasizes the importance of social connectivity in reducing the risk of falls. This study points to the need for social connectivity and fall prevention programs as essential components of strategies to enhance the health and well-being of community-dwelling older adults.

A new collaborative care approach toward hepatitis C elimination in marginalized populations.

BACKGROUND: Treating marginalized populations with HCV infection for elimination is faced with the challenge for the integration of HCV screening service offered for patients often moving across multiple settings. We envisaged a novel collaborative care approach to identify to what extent HCV patients overlapped between and within these multiple institutions and reported the findings of treatment coverage of these marginalized populations after HCV care cascades. METHODS: We enrolled 7765 patients residing in the Changhua County, Taiwan offered with HCV screening from correctional institutions, HIV clinics, methadone clinics, and the existing HIV surveillance program (four subgroups including police-arrested people, probationers, non-injection drug user, and high-risk behavior people) between 2019 and 2020. The collaborative care and information were integrated through a teamwork of gastroenterologists, psychologists, infectious disease specialists, and nursing coordinators under the auspices of local health authority. RESULTS: The overall participation rate in HCV screening was 92.65% (7194/7765). The prevalence rate was the highest in methadone clinics (90.17%) followed by correctional institutions (37.67%), HIV clinics (34.60%), and the surveillance program (18.14%). We found 25.41% (77/303) of methadone clinic patients, 17.65% (129/731) of HIV clinic patients, and various proportions for 44.09% (41/93) of deferred prosecuted or probationers under surveillance program were also recruited into other settings. Individuals' patient flow within setting was more frequent than that between setting. After calibrating the overlap of patient flow, a total of 1700 anti-HCV positives out of 4074 after screening were traced with available follow-up information to complete 92.52% treatment coverage of 1177 RNA-positives (77.23%) diagnosed from 1524 undergoing RNA testing with similar findings across multiple settings. CONCLUSION: A new collaborative integrated care was adopted for elucidating patient flow between and within multiple settings in order to calibrate the accurate demand for HCV care cascades and enhance HCV treatment coverage in marginalized populations.

Unhealthy lifestyle associated with increased risk of macro- and micro-vascular comorbidities in patients with long-duration type 2 diabetes: results from the Taiwan Diabetes Registry.

BACKGROUND: Unhealthy lifestyle has been associated with obesity and type 2 diabetes. Whereas its association with vascular complications in patients with long-duration of type 2 diabetes is still uncertain. METHODS: A total of 1188 patients with long-duration of type 2 diabetes from the Taiwan Diabetes Registry (TDR) data were analyzed. We stratified the severity of unhealthy lifestyle via scoring three factors (sleep duration <7 or >9 h, sit duration ≥ 8h, and meal numbers ≥ with night snack) and analyzed their associations with the development of vascular complications using logistic regression analysis. Besides, we also included 3285 patients with newly diagnosed type 2 diabetes as the comparison. RESULTS: Increased numbers of factors that stand for unhealthy lifestyle were significantly associated with the development of cardiovascular disease, peripheral arterial occlusion disease (PAOD) and nephropathy in patients with long-duration of type 2 diabetes. After adjusting multiple covariables, having ≥ 2 factors of unhealthy lifestyle remained significant associations with cardiovascular disease and PAOD, with an odds ratio (OR) of 2.09 (95% confidence interval [CI] 1.18-3.69) and 2.68 (95% CI 1.21-5.90), respectively. Among individual factor for unhealthy lifestyle behaviors, we revealed that eating ≥ 4 meals per day with night snack increased the risk of cardiovascular disease and nephropathy after multivariable adjustment (OR of 2.60, 95% CI 1.28-5.30; OR of 2.54, 95% CI 1.52-4.26, respectively). Whereas sit duration for ≥ 8 h per day increased the risk of PAOD (OR of 4.32, 95% CI 2.38-7.84). CONCLUSION: Unhealthy lifestyle is associated with increased prevalence of macro- and micro-vascular comorbidities in Taiwanese patients with long-duration type 2 diabetes.

Sex differences in the change of exercise behavior leading to incident metabolic syndrome reduction: A community-based prospective study.

This study was undertaken to assess the role of sex differences in the effects of exercise behavior change on incident metabolic syndrome (MetS) in Changhua County, Taiwan. Using data derived from the Changhua Community-based Integrated Screening (CHCIS), 22,594 eligible residents aged 40 years or older had the screening at least twice from 2005 to 2018. A prospective cohort study was designed to follow up the normal cohort without MetS at baseline to ascertain incident MetS in the light of the criteria of the Epidemiology Task Force Consensus Group. We then evaluated whether there was a sex difference in the outcome of incident MetS attributed to the change in exercise behavior from three (no, irregular, and regular exercise) maintained patterns already defined at baseline to either the enhanced pattern or the reduced pattern by the end of follow-up. We applied Cox proportional hazards regression model stratified by sex for estimating the hazard ratio of any two-group comparison. After adjustment for sociodemographic factors, the number of screenings attended, personal disease history, and other health behaviors, the influence of change in exercise behavior on incident MetS was statistically significant only in men. Specifically, maintaining no exercise showed a lower risk of MetS than maintaining regular exercise 21 % in men. Regarding the change in exercise behavior, men with the enhanced pattern reduced the risk of MetS by 15 % compared with those maintaining regular exercise. The findings suggest that positive changes in exercise behavior reduce the incidence of MetS in men but not in women.

A new approach to modeling pre-symptomatic incidence and transmission time of imported COVID-19 cases evolving with SARS-CoV-2 variants.

There is paucity of the statistical model that is specified for data on imported COVID-19 cases with the unique global information on infectious properties of SARS-CoV-2 variant different from local outbreak data used for estimating transmission and infectiousness parameters via the established epidemic models. To this end, a new approach with a four-state stochastic model was proposed to formulate these well-established infectious parameters with three new parameters, including the pre-symptomatic incidence rate, the median of pre-symptomatic transmission time (MPTT) to symptomatic state, and the incidence (proportion) of asymptomatic cases using imported COVID-19 data. We fitted the proposed stochastic model to empirical data on imported COVID-19 cases from D614G to Omicron with the corresponding calendar periods according to the classification GISAID information on the evolution of SARS-CoV-2 variant between March 2020 and Jan 2022 in Taiwan. The pre-symptomatic incidence rate was the highest for Omicron followed by Alpha, Delta, and D614G. The MPTT (in days) increased from 3.45 (first period) ~ 4.02 (second period) of D614G until 3.94-4.65 of VOC Alpha but dropped to 3.93-3.49 of Delta and 2 days (only first period) of Omicron. The proportion of asymptomatic cases increased from 29% of D-614G period to 59.2% of Omicron. Modeling data on imported cases across strains of SARS-CoV-2 not only bridges the link between the underlying natural infectious properties elucidated in the previous epidemic models and different disease phenotypes of COVID-19 but also provides precision quarantine and isolation policy for border control in the face of various emerging SRAS-CoV-2 variants globally.

Determinants associated with medical-related long-term care service use among community-dwelling older adults in Taiwan.

INTRODUCTION: Medical-related long-term care (LTC) service use among community-dwelling older adults in Taiwan is resource-intensive, and planning is essential to promote aging-in-place. METHODS: Administrative data from 4/1/2017 to 11/26/2019 among more than 14,000 residents were analyzed with generalized estimating equations (GEEs) to identify determinants of medical-related LTC service use. RESULTS: Older adults using medical-related LTC services tended to be younger (79.9 vs. 80.7; p<.0001), male (42.7% vs. 38.5%; p<.0001), multi-morbid (3.1 vs. 2.5; p<.0001), and higher mean activities of daily living (ADL) disability (8.2 vs. 4.2; p<.0001), instrumental ADL (IADL) disability (11.0 vs. 9.1; p<.0001), and hospitalizations (1.1 vs. 0.4; p<.0001). Significant determinants of medical-related LTC services include age, education, stroke, coronary heart disease, diabetes, vision impairment, ADL disability, and prior hospitalization. DISCUSSION: The success of LTC 2.0 will depend on ADL support and care coordination to manage chronic conditions such as diabetes, vision impairment, coronary heart disease, and stroke.

Sex differences in the association between sugar-sweetened beverages consumption and metabolic risks among the working-age population in Taiwan.

OBJECTIVE: Sugar-sweetened beverages (SSBs) are linked to increased metabolic risk. However, the sex differences in the relationship between SSB intake and adverse health effects remain unclear. Therefore, the present study examined the association between SSB consumption and metabolic risks among working-age males and females from Taiwanese communities. DESIGN: A community-based study utilized data from a comprehensive health screening project conducted by the Public Health Bureau in Changhua County, Taiwan. Metabolic risks included waist circumference, systolic blood pressure, diastolic blood pressure, total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL), and fasting glucose level using serum tests. SETTING: Participants were recruited in Changhua County, Taiwan. PARTICIPANTS: Between 2005 and 2014, 92,724 citizens participated in the health screening; our data analysis included 75,278 respondents between 30 and 64. RESULTS: The results showed that the frequency of SSB consumption was associated with abnormal waist circumference and elevated total cholesterol, triglycerides, LDL, and glucose in both men and women. Increased SSB consumption frequency was associated with elevated glucose and hypertension in women. Even a slight increase in SSB intake frequency was related to raising the metabolic risks. Similar patterns were evident when models included body mass index (BMI); however, the associations were attenuated. In the BMI-stratified subgroup analysis, the relationship between SSB consumption and metabolic risks was more pronounced in participants without obesity. CONCLUSION: The present study suggests that SSB consumption carries metabolic risk among working-age Taiwanese, particularly women and those without obesity. Health promotion programs should raise awareness of the health hazards associated with SSBs.

Relationships between reablement-embedded home- and community-based service use patterns and functional improvement among older adults in Taiwan.

For its second decade, Taiwan's National 10-Year Long-Term Care Plan launched a policy of reinforcing home- and community-based services (HCBSs) with a focus on reablement. This study aimed to (1) identify the distinct service use patterns of reablement-embedded HCBS and (2) examine the effects of these service patterns on functional improvements among older care recipients, including among groups with different levels of care needs. We collected 2018 data from the Long-Term Care Service Management System for care recipients in one county located in central Taiwan (N = 4735). Three recipient groups were assigned based on level of care needs. We included data on use of the following services: reablement, home care, respite care, applications for assistive devices and home environmental modifications, transportation to medical appointments and community-based services. Outcome variables were measured by change scores between successive assessments of activities of daily living (ADL) and instrumental activities of daily living (IADL). Latent class analysis and multivariate linear regression analyses were used to analyse relationships between use patterns, participant subgroups and outcomes. Four subgroups of HCBS use patterns were found. Care recipients with low care needs had greater potential to improve their physical function in ADL through reablement-embedded HCBS. Care recipients in the groups with low and high care needs showed overall benefits in functional improvements in ADL and IADL from personal care-based HCBS. Care recipients in the community-based and multiple services-based use pattern subgroups showed the least improvement in physical function. Our study indicates that the effects of reablement-embedded HCBS use strategies may vary among older adults with different levels of care needs. We recommend further research to examine how to design HCBS with a reablement focus to better fit the needs of those with moderate and high levels of care needs.

'I Knew I Should Stop, but I Couldn't Control Myself': a qualitative study to explore the factors influencing adolescents' consumption of sugar-sweetened beverages and sugary snacks from a socio-ecological perspective.

OBJECTIVE: To explore the factors influencing Taiwanese adolescents' consumption of sugar-sweetened beverages (SSB) and sugary snacks from a socio-ecological perspective. DESIGN: This study adopted a qualitative design by using face-to-face, in-depth interviews guided by a semistructured questionnaire. SETTING: Eight junior high schools in New Taipei City and Changhua County, Taiwan, September to November 2018. PARTICIPANTS: Fifty-nine participants aged 12-14 years participated in this study. RESULTS: Reflexive thematic analysis was used to analyse the data. This study identified four themes to address the multifaceted factors that influence adolescents' consumption of SSB and sugary snacks. At the intrapersonal level, physiological factors, psychological factors, individual economic factors and taste preferences were mentioned in connection with people's consumption of SSB and sugary snacks. Positive or negative influences of parents, siblings, peers and teachers on SSB and sugary snack intake were identified at the interpersonal level. The availability of SSB and sugary snacks at home, their availability in vending machines or in school stores in the school environment and participants' access to convenience stores and hand-shaken drink shops in the broader community influenced SSB and sugary snack consumption. Additionally, food culture and food advertising were identified as influencing societal factors. CONCLUSIONS: Overall, this qualitative study determined not only that the consumption of SSB and sugary snacks is influenced by intrapersonal factors but also that interpersonal, environmental and societal factors affect adolescents' increased sugar intake. The findings are helpful to broaden the options for designing and developing interventions to decrease SSB and sugary snack consumption by adolescents.

Classification of community-acquired outbreaks for the global transmission of COVID-19: Machine learning and statistical model analysis.

BACKGROUND: As Coronavirus disease 2019 (COVID-19) pandemic led to the unprecedent large-scale repeated surges of epidemics worldwide since the end of 2019, data-driven analysis to look into the duration and case load of each episode of outbreak worldwide has been motivated. METHODS: Using open data repository with daily infected, recovered and death cases in the period between March 2020 and April 2021, a descriptive analysis was performed. The susceptible-exposed-infected-recovery model was used to estimate the effective productive number (Rt). The duration taken from Rt > 1 to Rt < 1 and case load were first modelled by using the compound Poisson method. Machine learning analysis using the K-means clustering method was further adopted to classify patterns of community-acquired outbreaks worldwide. RESULTS: The global estimated Rt declined after the first surge of COVID-19 pandemic but there were still two major surges of epidemics occurring in September 2020 and March 2021, respectively, and numerous episodes due to various extents of Nonpharmaceutical Interventions (NPIs). Unsupervised machine learning identified five patterns as "controlled epidemic", "mutant propagated epidemic", "propagated epidemic", "persistent epidemic" and "long persistent epidemic" with the corresponding duration and the logarithm of case load from the lowest (18.6 ± 11.7; 3.4 ± 1.8)) to the highest (258.2 ± 31.9; 11.9 ± 2.4). Countries like Taiwan outside five clusters were classified as no community-acquired outbreak. CONCLUSION: Data-driven models for the new classification of community-acquired outbreaks are useful for global surveillance of uninterrupted COVID-19 pandemic and provide a timely decision support for the distribution of vaccine and the optimal NPIs from global to local community.

Review of epidemic, containment strategies, clinical management, and economic evaluation of COVID-19 pandemic.

The spread of the emerging pathogen, named as SARS-CoV-2, has led to an unprecedented COVID-19 pandemic since 1918 influenza pandemic. This review first sheds light on the similarity on global transmission, surges of pandemics, and the disparity of prevention between two pandemics. Such a brief comparison also provides an insight into the potential sequelae of COVID-19 based on the inference drawn from the fact that a cascade of successive influenza pandemic occurred after 1918 and also the previous experience on the epidemic of SARS and MERS occurring in 2003 and 2015, respectively. We then propose a systematic framework for elucidating emerging infectious disease (EID) such as COVID-19 with a panorama viewpoint from natural infection and disease process, public health interventions (non-pharmaceutical interventions (NPIs) and vaccine), clinical treatments and therapies (antivirals), until global aspects of health and economic loss, and economic evaluation of interventions with emphasis on mass vaccination. This review not only concisely delves for evidence-based scientific literatures from the origin of outbreak, the spread of SARS-CoV-2 to three surges of pandemic, and NPIs and vaccine uptakes but also provides a new insight into how to apply big data analytics to identify unprecedented discoveries through COVID-19 pandemic scenario embracing from biomedical to economic viewpoints.

Distinct associations of self-monitoring of blood glucose with glycemic control and hypoglycemia between groups of recently diagnosed and long-term follow-up type 2 diabetes: The Taiwan Diabetes Registry.

BACKGROUND: We investigated the uses and frequency of self-monitoring of blood glucose (SMBG) with glycemic control and hypoglycemia in two groups of type 2 diabetes (T2D) (recently diagnosed and long-term follow-up) using real-world data in Taiwan (the Taiwan Diabetes Registry). METHODS: Patients with T2D recently diagnosed within 6 months (n = 3297, mean age 54.4 ± 13.9 years) and T2D patients with long-term follow-up (n = 1201, mean age 65.5 ± 12.1 years, mean diabetes duration 14.3 ± 7.8 years) from the Taiwan Diabetes Registry were analysed. All patients were interviewed by certified diabetes educators. Information about SMBG and hypoglycemia was recorded. Demography, personal history, and laboratory data were obtained from electronic medical records. Logistic regression analyses were used to examine the associations of SMBG with glycated haemoglobin (HbA1c) <7% and hypoglycemia. RESULTS: Mean HbA1c values were 8.4 ± 2.5 and 7.6 ± 1.4%, respectively, in the recently diagnosed and long-term follow-up T2D groups. The self-reported rates of hypoglycemic events within 3 months were 10.5% and 19.0%, respectively. SMBG was associated with higher odds of HbA1c <7% (OR 1.21, 95% CI 1.01-1.44) in patients with recently diagnosed T2D, but with lower odds of HbA1c <7% in T2D patients with long-term follow-up (OR 0.60, 95% CI 0.44-0.82). In both study populations, SMBG was independently associated with hypoglycemia (OR 3.90 [95% CI 2.99-5.08] and OR 3.93 [95% CI 2.73-5.66], respectively). The aforementioned findings were consistent across the strata of SMBG frequency. CONCLUSION: We reported different associations between SMBG and glycemic control in patients recently diagnosed with T2D and in T2D patients with long-term follow-up. SMBG was associated with higher detection of hypoglycemic episodes in both study populations.