The burden and clinical manifestation of hospitalized influenza among different pediatric age-groups in the tropics.

INTRODUCTION: In tropical Singapore, influenza occurs all year-round. This study of influenza-confirmed hospitalized pediatric patients compared clinical characteristics and complications by age-group and differences between influenza A and B. METHODS: This was a retrospective study of pediatric inpatients from January 2013 to December 2014. Patients were grouped into: <6 months, 6 months to <5 years, 5- to <10-year and ≥10 years. Complications were classified into neurologic, pulmonary, and other. We also calculated the incidence of hospitalized influenza cases per 100 000 age-related population. RESULTS: There were a total of 1272 patients with a median age of 37 months. The highest hospitalization rates were in the <6 months age-group. Majority (75.2%) had no comorbidity; 25.6% had complications: neurologic 11.9%, pulmonary 9.6%, other 4.1%. Patients with other complications were older, male, and had the highest influenza B rates and the longest length of stay. Influenza A comprised 76.9% of cases and had higher complication rates especially neurologic, compared to influenza B. Influenza B patients were older and were more likely to develop other complications. The 6-month to <5-year-age-group had the highest complication rate (30.6%), especially neurologic. However, ≥10 years old had the highest other complications, ICU/ high-dependency admissions and influenza B Victoria rates. CONCLUSIONS: Infants <6 months had the highest hospitalization rates for influenza. The 6-month to <5-year-age-group had the highest complication rate especially neurologic. Influenza A patients were younger, had higher seizure rates and complications compared to influenza B.

Using best-worst scaling choice experiments to elicit the most important domains of health for health-related quality of life in Singapore.

Health-related quality of life (HRQOL) instruments are sometimes used without explicit understanding of which HRQOL domains are important to a given population. In this study, we sought to elicit an importance hierarchy among 27 HRQOL domains (derived from the general population) via a best-worst scaling survey of the population in Singapore, and to determine whether these domains were consistently valued across gender, age, ethnicity, and presence of chronic illnesses. We conducted a community-based study that sampled participants with quotas for gender, ethnicity, age, presence of chronic illness, and interview language. For the best-worst scaling exercise, we constructed comparison sets according to a balanced incomplete block design resulting in 13 sets of questions, each with nine choice tasks. Each task involved three HRQOL domains from which participants identified the most and least important domain. We performed a standard analysis of best-worst object scaling design (Case 1) using simple summary statistics; 603 residents participated in the survey. The three most important domains of health were: "the ability to take care of self without help from others" (best-worst score (BWS): 636), "healing and resistance to illness" (BWS: 461), and "having good relationships with family, friends, and others" (BWS: 373). The 10 top-ranked domains included physical, mental, and social health. The three least important domains were: "having a satisfying sex life" (BWS: -803), "having normal physical appearance" (BWS: -461), and "interacting with others (talking, shared activities, etc.)" (BWS: -444). Generally, top-ranked domains were consistently valued across gender, age, ethnicity, and presence of chronic illness. We conclude that the 10 top-ranked domains reflect physical, mental, and social dimensions of well-being suggesting that the sampled population's views on health are consistent with the World Health Organization's definition of health, "a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity".

In vivo pro- and anti-inflammatory cytokines in normal and patients with rheumatoid arthritis.

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic, deforming arthritis that can lead to disabilities and poor quality of life. Cytokines are protein mediators of inflammation and are produced as a result of the activation of various cellular reactions. They are the final mediators and/or regulators of the inflammatory process. MATERIALS AND METHODS: The sera from 64 RA patients were assayed for both Th-1 and Th-2 related cytokines and soluble TNF-alpha receptors (IFN-gamma, TGF-beta, TNF-alpha, IL-1beta, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18, sTNF-R1 and sTNFR2) using ELISA. RESULTS: The pro-inflammatory cytokines (IL-1, IL-6, IL-8, IL-18 and TNF- alpha) were significantly elevated in RA patients, while TGF-beta, an immunomodulatory cytokine, was elevated in control individuals. When the RA patients were categorised as active or inactive based on DAS scores, similar cytokines profiles were observed in both RA sub-groups. However, assays of sTNF-R1 and sTNFR-2 were noted to be significantly elevated in inactive RA patients when compared to active patients. CONCLUSION: Our findings indicate that local production of cytokine inhibitors is capable of diminishing disease activity and cytokine activity.

Does being bilingual in English and Chinese influence changes in quality of life scale scores? Evidence from a prospective, population based study.

BACKGROUND: Bilinguals differ from monolinguals in language use, but the influence of bilingualism on changes in Health-Related Quality of Life (HRQoL) scores is not known. OBJECTIVE: To determine the influence of bilingualism on changes in HRQoL scores. RESEARCH DESIGN: A prospective cohort study of a population-based, disproportionately stratified random sample of monolingual or bilingual ethnic Chinese who completed the Short-Form 36 Health Survey (SF-36) in English or Chinese twice in 2 years. Least squares regression models were used to assess the influence of bilingualism on SF-36 scores, while adjusting for the influence of questionnaire language and determinants of HRQoL. RESULTS: Usable English and Chinese questionnaires were returned by 1013 and 910 subjects respectively (aged 21-65 years, 48.5% female, 52.8% bilingual). Bilinguals differed from monolinguals in known determinants of HRQoL (being younger and better educated), changes in determinants of HRQoL over 2 years (more bilinguals had changes in work or marital status) and had mean SF-36 scores that were up to 10 points higher than monolinguals. After adjusting for these differences, bilingualism did not influence 2 year change scores for any of 8 SF-36 scales. CONCLUSION: Bilingualism did not influence changes in HRQoL scores over 2 years in this large, population-based study of subjects fluent in English and/or Chinese (representing an alphabet and/or pictogram based language respectively).

Quality of life in an urban Asian population: the impact of ethnicity and socio-economic status.

The relationships between ethnicity, socio-economic status (SES) and health-related quality of life (HRQoL) have not been well characterised in most Asian populations. We therefore studied the influence of ethnicity and SES on HRQoL in a multi-ethnic urban Asian population, adjusting for the influence of other known determinants of HRQoL. In a disproportionately stratified, cross-sectional, population-based survey, Chinese, Malay and Indian subjects in Singapore completed the Short Form 36 Health Survey (SF-36) HRQoL measure and were assessed to determine demographic, socio-economic, psychosocial and other characteristics. Multiple linear regression models were used to study the influence of ethnicity and SES on SF-36 scores while adjusting for the influence of other determinants of HRQoL. The survey participation rate was 92.8%. Ethnic differences in HRQoL were present for all 8 SF-36 scales (p<0.001 for all scales except General Health) among the 4122 Chinese, Malays and Indians surveyed. These ethnic groups also differed in several known determinants of HRQoL (e.g., Chinese had more years of education and Indians had more chronic medical conditions). After adjusting for the influence of these factors, ethnicity and SES independently influenced HRQoL, with mean differences in SF-36 scores due to ethnicity ranging from 1.4 to 13.1 points. Educational level and housing type (markers of SES) were also associated with SF-36 scores (0.5-0.6 point increase per year of education and 3.5-4.0 point increase with better housing type, respectively). Better HRQoL was also associated with better family support, and poorer HRQoL with acute and chronic medical conditions and sick days. The study concludes that ethnicity and SES are associated with clinically important differences in HRQoL in a multi-ethnic, urban Asian population.

The equivalence of English and Chinese SF-36 versions in bilingual Singapore Chinese.

OBJECTIVE: To assess the equivalence of English and Chinese versions of the SF-36. METHODS: Using a crossover design with block randomisation and stratification by age, identical English or Chinese questionnaires containing the English (UK) and Chinese (HK) SF-36 versions were administered 3-16 days apart to 168 free-living, bilingual, ethnic Chinese volunteers in Singapore. Item level equivalence of both versions was assessed by comparing item means and orderings within each scale. Scale level equivalence was assessed by comparing internal consistency (Cronbach's alpha), results of factor analysis and mean scale scores (using paired t-tests and intra-class correlations). RESULTS: Item and scale level comparisons supported the equivalence of both versions. For both the versions, item means, item ordering and Cronbach's alpha were similar, and factor analysis yielded two factors with similar factor loadings. There was no clinically important difference in mean scale scores for seven of eight scales, and intra-class correlations were excellent/good for five scales (0.69-0.77) and moderate for three scales (0.55-0.57). CONCLUSION: English (UK) and Chinese (HK) SF-36 versions are equivalent in bilingual Singapore Chinese. Our data suggest that SF-36 scores from English- and Chinese-speaking subjects may be combined in studies using the SF-36, increasing the power and representativeness of such studies.

Does being bilingual in English and Chinese influence responses to Quality-of-Life scales?

BACKGROUND: It is not known if the inclusion of bilinguals affects the results of research using Quality-of-Life (QoL) scales. OBJECTIVE: To determine the influence of bilingualism on responses to a QoL scale. RESEARCH DESIGN: In this cross sectional study, a population-based, disproportionately stratified random sample of monolingual and bilingual ethnic Chinese completed the Short-Form 36 Health Survey (SF-36) in English or Chinese (representing an alphabet and pictogram based language respectively). Cumulative logit regression models were used to assess the influence of bilingualism on SF-36 scores, while adjusting for the influence of questionnaire language and known determinants of QoL. RESULTS: English or Chinese SF-36 versions were completed by 1331 and 1380 subjects respectively (49% female, aged 21-65 years, 1366 bilingual, 501 English monolingual, 844 Chinese monolingual), with response rates exceeding 85%. Fifty percent of subjects were bilingual. Bilinguals differed from monolinguals in known determinants of QoL, being younger, better educated, and having fewer chronic medical conditions, and had SF-36 scores up to 8 points higher than monolinguals. After adjusting for these differences, bilingualism did not influence scores for any of eight SF-36 scales, whereas questionnaire language influenced scores for four scales. Use of the English SF-36 was associated with higher scores for General Health, Vitality, Role Emotional and Mental Health Scales (odds ratios 1.35-1.41), though the magnitude of these odds ratios suggests this association may not be clinically important. CONCLUSION: Bilingualism did not influence responses to a QoL scale in this large, population-based study of subjects fluent in an alphabet and/or pictogram based language.