The influence of ethnicity on health-related quality of life in diabetes mellitus: a population-based, multiethnic study

Comparison of Functional Health Status and Health Related Quality of Life Between Adult Patients With Fontan Procedure and Noncongenital Heart Diseases

To compare functional health status and Health Related Quality of Life (HRQoL) between Fontan and non-congenital heart disease (CHD) patients in an Asian population. Functional health status and HRQoL (New York Heart Association (NYHA) functional class, Duke Activity Status Index (DASI), HeartQol and EQ-5D-5L) were measured. A total of 65 patients (twenty Fontan patients, mean age 28 ± 5; and 45 age-matched non-CHD patients, mean age 33 ± 5) were recruited. After adjustment for age, gender and ethnicity, there were no significant differences in functional health status and HRQoL between groups. In an Asian population, Fontan patients have similar functional health status and Health Related Quality of Life compared to non-CHD patients.

Relationship between the presence of primary care physicians and health-related quality of life

Background

The supply of primary care physicians is associated with better health outcomes and a lower total cost of health services. However, the effect of the presence or absence of primary care physicians on health-related quality of life (QOL) is unknown. We comparatively investigated the health-related QOL of ordinary citizens according to the presence or absence of a primary care physician.

Methods

We conducted an observational cross-sectional study using a propensity score analysis. A questionnaire on health-related QOL (SF-36v2, age, gender, presence or absence of a primary care physician, and chronic disease status) was mailed to 2200 individuals identified through stratified random sampling. We used propensity scores to compensate for covariates and analyzed three component SF-36 summary scores and subscale scores of the "primary care physician" and "no primary care physician" groups.

Results

Valid responses were received from 1095 individuals (49.8%). The "primary care physician group" comprised 653 individuals (59.6%). The physical health component scores of the "primary care physician group" were significantly lower than those of the "no primary care physician group," and the "mental health component" scores were significantly higher (p = 0.032, p = 0.009). For the subscales, scores for "vitality" and "mental health" were significantly higher in the "primary care physician group" (p = 0.014, p = 0.018).

Conclusions

Patients who had a primary care physician with whom they could comfortably consult at any time had a high mental health component score, and low physical health component score in the health-related QOL.

Health related outcomes among people with type 2 diabetes by country of birth: Result from the 45 and Up Study

BACKGROUND

Ethnic variation in the occurrence of type 2 diabetes, complications, mortality, and health behaviours has been reported. The current research examined patterns of health-related outcomes by country of birth in people with diabetes aged 45years and over in New South Wales, Australia.

METHODS

This study was based on the baseline data of 266,848 participants aged 45years and over from "The Sax Institute's 45 and Up Study" (2006-2009), NSW; Australia's most populous state. Health-related factors including self-rated overall health, Quality of Life (QoL), eyesight, subjective memory complaint, hearing loss, psychological distress and functional limitation were examined according to country of birth among 23,112 people with type 2 diabetes. Logistic regression modelling was used to compare the odds of poor outcomes between Australian-born and overseas-born participants, adjusting for potential confounding and mediating variables. Both age-sex and fully adjusted odds ratios (aORs) are reported.

RESULTS

Nearly half of the people with diabetes in the sample reported hearing loss and high levels of functional limitations, a third reported poor overall health. Compared to people with diabetes born in Australia, people born in South East Europe, North Africa, the Middle East had significantly greater odds of poor outcomes across the majority of examined health-related factors, with the largest odds observed in the elevated level of psychological distress outcome (aOR=3.4 in North African and the Middle East group). Higher aORs of poor overall health, QoL, memory problems and poor eyesight, and lower aORs for hearing loss, were also found among those born in the Asian countries.

CONCLUSIONS

The results demonstrated significant ethnic disparity in the prevalence of health-related outcomes. These findings provide important context for the formulation of culturally sensitive secondary prevention strategies.

Prevalence of Type 2 Diabetes Mellitus Among Urban Bihari Communities in Dhaka, Bangladesh: A Cross-sectional Study in a Minor Ethnic Group

Introduction

The prevalence, disease progression, and treatment outcomes for patients with type 2 diabetes vary significantly between ethnic groups. The Bihari community constitutes one of the most vulnerable populations in Bangladesh on the basis of access to health services and other fundamental rights. Our study aimed at finding out the prevalence and risk factors of type 2 diabetes among the Bihari adults in Dhaka city.

Methods

This cross-sectional community-based study was carried out among stranded Pakistanis (known as Bihari) living in camps in the Mirpur area from July 2014 to June 2015. Laboratory-based oral glucose tolerance test (OGTT) was the basis for the diagnosis of type 2 diabetes mellitus (DM). Anthropometric measurements, blood pressure, biochemical tests, family history, and socioeconomic information were obtained to determine the risk factors.

Results

The prevalence of diabetes mellitus (DM), impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) were estimated at 10.11%, 8.74%, and 4.55%, respectively. Increased diastolic blood pressure, serum triglyceride, and cholesterol level were observed to be significantly (p < 0.05) associated with diabetes. Also, the presence of diabetes, high blood pressure, and obesity among relatives significantly increased the probability of diabetes.

Conclusions

To the best of our knowledge, this is the first study on diabetes prevalence among the Bihari community in Bangladesh. The prevalence of type 2 diabetes mellitus was found to be higher among the Bihari community compared to the general population in Bangladesh. Health planners and policymakers should realize the alarming situation and identified risk factors and consider the minor ethnic groups during decision-making regarding prevention and control of diabetes and other noncommunicable diseases.

Ethnic Differences in the Association Between Age-Related Macular Degeneration and Vision-Specific Functioning

Importance

Understanding the link between ethnicity and health is critical to making appropriate public policy decisions. Few population-level data are available about this connection, however, including the influence of ethnicity on the association between age-related macular degeneration (AMD) and vision-specific functioning (VSF).

Objective

To identify the influence of ethnicity on VSF among Chinese, Malay, and Indian patients with AMD.

Design, Setting, and Participants

This cross-sectional, population-based study relied on patients and their data from 3 population-based studies in 3 ethnic groups: Chinese, Malay and Indian. Of 10 033 Chinese, Malay, and Indian adults who participated in the study, 9962 (99.3%) who had gradable fundus images and Visual Function Index (VF-11) data available were included in the analyses for the present study. Uniocular presenting distance visual acuity was measured using the logMAR chart. Separate multiple linear regression models examined the association between AMD and VSF in the 3 ethnic groups, adjusting for age, sex, presenting visual acuity in the better-seeing eye, educational level, income, smoking status, hypertension, diabetes, cardiovascular disease, total cholesterol level, and other eye conditions. Data were collected between January 20, 2004, and December 19, 2011; data analysis was conducted between November 12, 2015, and December 28, 2016.

Exposures

Age-related macular degeneration according to fundus photographs graded using a modified Wisconsin Age-Related Maculopathy Grading System.

Main Outcomes and Measures

Rasch analysis was used to convert VF-11 questionnaire scores to estimated interval measures of VSF.

Results

Of the 9962 participants, the mean (SD) age was 58.8 (10.4) years; 4909 (49.3%) were male; 590 (5.9%) had early AMD (241 Chinese, 161 Malays, and 188 Indians) and 60 (0.6%) had late AMD (25 Chinese, 21 Malays, and 14 Indians). In the adjusted models, compared with no AMD, early AMD was associated with a small reduction in VSF (2.9%; β = -0.12; 95% CI, -0.23 to -0.00; P = .046) in the Chinese group but not in the Indian and Malay groups. Moreover, Chinese participants with late AMD had a clinically significant 19.1% loss of VSF (β = -0.78; 95% CI, -1.13 to -0.43, P < .001). In the Malay group, those with late AMD had a 13.5% drop in VSF (β = -0.49; 95% CI, -1.01 to 0.04; P = .07) compared with their counterparts without AMD. Similarly, late AMD was not associated with VSF in the Indian group.

Conclusions and Relevance

Early and late AMD negatively affected VSF in Chinese but not in Indian and Malay participants. This finding suggests that there is an independent ethnic influence in the association of the disease with VSF in multiethnic Asian populations, thus warranting ethnicity-based strategies to delay the onset or progression of AMD.

Type 2 diabetes and quality of life

It is true that a primary goal of diabetes early diagnosis and treatment is quality of life (QoL). The term QoL is still confusing but it is agreed that it composes of four components: The physical component, mental, cogitative component, psychological and social component. Many articles have been written addressing those four components. During the last five years 15500 articles and reviews have been written addressing diabetes and coronary arterial disease, 16100 addressing diabetes and renal function, 28900 addressing diabetes and retinopathy, 16800 addressing diabetic foot ulcers and other 26300 addressing diabetic neuropathy. Moreover 17200 articles are dealing with diabetic sexual dysfunction, 24500 with the correlation of diabetes and depression 17500 about diabetes and dementia, only 1 about diabetes and family functioning and 1950000 about diabetes and QoL, indicating the worldwide interest. In order to confront this metabolic anomaly and its consequences, researchers developed numerous generic and disease specific psychometric tools. With the aid of those psychometric tools the scientific community has started to realize the gruesome effect of diabetes on patients' lives. Diabetic's QoL becomes worse when complications start to develop or comorbidities coexist. Dominant amongst complications, in health-related quality of life (HRQoL) lowering, but not related to risk factors (genetic, the weight of birth, or others) is coronary arterial disease followed by renal failure, blindness, and the combination of micro- and macro-vascular complications and in some studies by sexual dysfunction. Moreover many are the comorbidities which deteriorate further the effect of diabetes in a patient life. Among them obesity, hypertension, dyslipidemia, depression, arthritis are the most common. Most intriguing field for research is the interaction of diabetes and depression and in some cases the progression to dementia. Many aspects and combinations of actions are under researchers' microscope regarding the improvement of HRQoL scores. Until now, the studies performed, have demonstrated little to moderate benefit. More of them are needed to draw safe conclusions on the topic of the best combination of actions to optimize the HRQoL scores.

Association Between Self-Esteem and Depressive Symptoms Is Stronger Among Black than White Older Adults

BACKGROUND

Although poor self-esteem is a core component of depression, we still do not know if racial and ethnic groups differ in the magnitude of this link. This study compared Black and White older adults on the association between self-esteem and depressive symptoms.

METHODS

With a cross-sectional design, this study enrolled 1493 older individuals (age 66 or more) from the 2001 Religion, Aging, and Health Survey, a nationally representative study in the United States. Participants were either Blacks (n = 734) or Whites (n = 759). Depressive symptoms and self-esteem were measured using brief measures of the Center for Epidemiological Studies-Depression scale (CES-D) and the Rosenberg Self-Esteem Scale, respectively. Demographics, socioeconomics, and self-rated health (SRH) were covariates and self-identified race was the moderator. Linear regression models were used for data analysis.

RESULTS

Low self-esteem was associated with more depressive symptoms (B = 0.17, 95 % CI 0.15-0.28), above and beyond all covariates. We found a significant and positive interaction between race (Black) and poor self-esteem on depressive symptoms (B = 0.34, 95 % CI 0.17-0.36), suggesting a stronger association between self-esteem and depressive symptoms among Blacks compared to Whites. Although low self-esteem is associated with higher depressive symptoms in both Whites and Blacks (p < 0.05 for both races), the standardized coefficient was 0.25 (95 % CI = 0.20-0.43) for Blacks and 0.16 (95 % CI = 0.09-0.29) for Whites.

CONCLUSIONS

Low self-esteem and high depressive symptoms are more closely associated among Blacks than Whites. It is not clear whether depression leaves a larger scar on self-esteem for Blacks, or Blacks are more vulnerable to the effect of low self-esteem on depression.

Depressive Symptoms Are Associated with More Hopelessness among White than Black Older Adults

BACKGROUND

Hopelessness is a core component of depression. Our information is, however, very limited on ethnic variations in the magnitude of the link between depression and hopelessness. Using a national sample of older adults in United States, we compared Blacks and Whites for the magnitude of the association between depressive symptoms and hopelessness.

METHODS

With a cross-sectional design, we used baseline data of the Religion, Aging, and Health Survey, 2001. Linear regression models were used for data analysis. Depressive symptoms (CES-D) and hopelessness were conceptualized as independent and dependent variables in different models, respectively. Demographic factors (age and gender), socioeconomic status (education and marital status), and health (self-rated health) were covariates. Ethnicity was the moderator.

RESULTS

In the pooled sample, higher depressive symptoms were predictive of hopelessness, above and beyond all covariates. We also found significant interactions suggesting that the association between depressive symptoms and hopelessness is weaker among Blacks compared to Whites. In ethnic-specific models, there were significant associations between depressive symptoms and hopelessness among Whites but not Blacks.

CONCLUSION

Depressive symptoms accompany more hopelessness among Whites than Blacks. This finding may explain why Blacks with depression have a lower tendency to commit suicide. Future research should test whether or not Whites with depression better respond to psychotherapies and cognitive behavioral therapies that focus on hope enhancement. This finding may explain differential correlates of depression based on race and ethnicity.

Race and Ethnic Group Differences in Comorbid Major Depressive Disorder, Generalized Anxiety Disorder, and Chronic Medical Conditions

This study tested whether race and ethnic group differences exist for lifetime major depressive disorder and/or general anxiety disorder with one or more chronic medical conditions. Data from the National Survey of American Life, which included 3570 African American, 1438 Caribbean Black, and 891 non-Hispanic White adults were analyzed. Outcomes included at least one and multiple chronic medical conditions, from a list of 14 medical conditions (e.g., arthritis, cancer, diabetes, kidney disease, stroke, heart disease, etc.). Logistic regressions were fitted to data to determine how the association between major depressive disorder, general anxiety disorder, and one or more chronic medical conditions vary across race and ethnicity. Lifetime major depressive disorder (but not lifetime general anxiety disorder) was associated with at least one chronic medical condition among African Americans and Caribbean Blacks, but not non-Hispanic Whites. Lifetime major depressive disorder was similarly associated with multiple chronic medical conditions among African Americans, Caribbean Blacks, and non-Hispanic Whites. For Caribbean Blacks, stronger associations were found between major depressive disorder and general anxiety disorder with one or more chronic medical conditions compared to African Americans and non-Hispanic Whites. Findings suggest that race and ethnicity may shape the links between comorbid psychiatric disorders and chronic medical conditions. Mental health screening of individuals with chronic medical conditions in primary health-care settings may benefit from tailoring based on race and ethnicity. More research is needed to understand why associations between physical and mental health vary among race and ethnic groups.

An audit of diabetes-dependent quality of life in patients with type 2 diabetes mellitus in Malaysia

PURPOSE

The aim of this study was to evaluate and validate the ADDQoL and to assess the impact of diabetes on QoL among the type 2 diabetes mellitus patients in Malaysia.

METHODS

The Malay and English versions of the ADDQoL questionnaire were administered to patients attending routine outpatient visits in three primary hospitals and a public clinic. The construct validity of the ADDQoL was validated using confirmatory factor analysis (CFA). The sample comprised 350 Malay respondents who rated the ADDQoL Malay version and 246 non-Malay respondents (Chinese or Indian) who answered using the ADDQoL original English version.

RESULTS

CFA confirmed the presence of one-factor structure for both samples. The internal consistency was high with Cronbach's alpha values of 0.945 and 0.907 for the ADDQoL Malay and English versions, respectively. Results showed that for all three ethnicities, the most important domain is 'family life'. Overall, Malay patients stated their 'living conditions' is the most negatively affected, while for Chinese and Indians, diabetes has the greatest impact on their 'freedom to eat'.

CONCLUSIONS

The ADDQoL was found to be culturally appropriate, valid and reliable among Malay- and English-speaking type 2 diabetes mellitus patients in Malaysia.

Cross-cultural measurement equivalence of the 5-level EQ-5D (EQ-5D-5L) in patients with type 2 diabetes mellitus in Singapore

Background

This study aimed to assess the measurement equivalence of the 5-level EQ-5D (EQ-5D-5L) among the English, Chinese, and Malay versions.

Methods

A convenience sample of patients with type 2 diabetes mellitus were enrolled from a public primary health care institution in Singapore. The survey questionnaire comprised the EQ-5D-5L and questions assessing participants’ socio-demographic and clinical characteristics. Multiple linear regression models were used to assess the difference in EQ-5D-5L index (calculated using an interim algorithm) and EQ-visual analog scale (EQ-VAS) scores across survey language (Chinese vs. English, Malay vs. English, and Malay vs. Chinese). Measurement equivalence was examined by comparing the 90 % confidence interval of difference in the EQ-5D-5L index and EQ-VAS scores with a pre-determined equivalence margin. Multiple logistic regression models were used to assess the response patterns of the 5 Likert-type items of the EQ-5D-5L across survey language.

Results

Equivalence was demonstrated between the Chinese and English versions and between the Malay and English versions of the EQ-5D-5L index scores. Equivalence was also demonstrated between the Chinese and English versions and between the Malay and Chinese versions of the EQ-VAS scores. Equivalence could not be determined between the Malay and Chinese versions of the EQ-5D-5L index score and between the Malay and English versions of the EQ-VAS score. No significant difference was found in responses to EQ-5D-5L items between any languages, except that patients who chose to complete the Chinese version were more likely to report “no problems” in mobility compared to those who completed the Malay version of the questionnaire.

Conclusions

This study provided evidence for the measurement equivalence of the different language versions of EQ-5D-5L in Singapore.

Development and validation of the Asian Diabetes Quality of Life (AsianDQOL) Questionnaire

AIM

To construct a type-2 diabetes specific quality of life (QOL) tool for Asian populations that is valid and reliable across different ethnicities, languages, and socio-economic backgrounds.

METHODS

A focus group determined the domains affecting QOL in consultation with an expert group. A pilot study was conducted to validate the Asian Diabetes QOL (AsianDQOL) in English, Malay and Chinese-Mandarin. The World Health Organization Brief Quality of Life Questionnaire (WHOQOL-BREF) was used for comparison. Exploratory factor analysis (EFA), reliability analysis (RA) using Cronbach's alpha, test-retest reliability, and confirmatory factor analysis (CFA) using structural equation modeling (SEM) was undertaken using the statistical software IBM SPSS Statistics version 20.

RESULTS

EFA with eigenvalues (>1) and factor loadings ≥0.3 for English and Malay language demonstrated 21 items (5 components). CFA (English version) confirmed the model (CMIN 201.08, p-value 0.071, GFI 0.88, RMSEA 0.036, CFI 0.978). CFA (Malay version) confirmed the 5-factor model (CMIN 189.39, p-value 0.085, GFI 0.937, RMSEA 0.025, CFI 0.987). The Cronbach's alpha scores (English version) were 0.917, 0.818, 0.816, 0.749 and 0.719, respectively. The Malay version scored 0.833, 0.819, 0.816, 0.775, 0.673, respectively, whilst the Chinese/Mandarin version scored 0.890, 0.719, 0.826, 0.862 and 0.759, respectively. Test-retest reliability showed Pearson correlation of 0.600 (English version), 0.700 (Malay version) and 0.500 (Chinese-Mandarin version). A scoring system was generated based on the 25th, 50th and 75th centiles for all the three languages.

CONCLUSION

The AsianDQOL is a valid, reliable and stable tool for assessing QOL in multi-ethnic and multi-lingual T2DM Asian populations.

Diabetes quality of life perception in a multiethnic population

AIM

The aim of this study was to determine ethnic differences and predictors of the perception of quality of life (QOL) in a multiethnic Malaysian population with type 2 diabetes.

METHODS

A population-based cross-sectional study was done in three different states in Malaysia. The Asian Diabetes Quality of Life (AsianDQOL) tool specific for type 2 diabetes is the primary outcome tool. One-way analysis of covariance was undertaken to examine ethnic differences on the total and component AsianDQOL scores controlling for important covariates. Stepwise multiple linear regression models were used for selecting predictors for the AsianDQOL score with stratification for ethnicity and language.

RESULTS

A total of 647 subjects (338 Malays, 160 Chinese and 149 Indians) were recruited. Chinese scored significantly lower (78.1 ± 11.6) on the AsianDQOL (total) score compared to Malays (81.4 ± 9.0) and Indians (81.5 ± 9.2) (F = 3.060, p = 0.049, η (2) = 0.02). Likewise, Chinese scored significantly lower (21.0 ± 4.3) on the AsianDQOL (diet) score compared to Malays (22.8 ± 3.6) and Indians (22.5 ± 3.7) (F = 4.96, p = 0.008, η (2) = 0.04). The main predictors of AsianDQOL (total) score for the English language group of different ethnicities were sexual dysfunction (-4.5), having visual problems (-3.7), female (-2.8) and glycemic control (-1.6). Sexual dysfunction was negatively correlated with QOL in Malay, Chinese ethnic group and Indian ethnic groups.

CONCLUSION

The perception of AsianDQOL is different across ethnic groups and languages spoken. Significant differences in the English-speaking group and the non-English-speaking group are detected within the same ethnicity. Sexual dysfunction severely impacts AsianDQOL in a multiethnic Asian population and remains an important determinant regardless of ethnicity and language.

Ethnic differences in health related quality of life for patients with type 2 diabetes

Background

The objective of this study was to investigate the association between ethnicity and health related quality of life (HRQoL) in patients with type 2 diabetes.

Methods

The EuroQol EQ-5D measure was administered to 1,978 patients with type 2 diabetes in the UK Asian Diabetes Study (UKADS): 1,486 of south Asian origin (Indian, Pakistani, Bangladeshi or other south Asian) and 492 of white European origin. Multivariate regression using ordinary least square (OLS), Tobit, fractional logit and Censored Least Absolutes Deviations estimators was used to estimate the impact of ethnicity on both visual analogue scale (VAS) and utility scores for the EuroQol EQ-5D.

Results

Mean EQ-5D VAS and utility scores were lower among south Asians with diabetes compared to the white European population; the unadjusted effect on the mean EQ-5D VAS score was −7.82 (Standard error [SE] = 1.06, p < 0.01) and on the EQ-5D utility score was −0.06 (SE = 0.02, p < 0.01) (OLS estimator). After controlling for socio-demographic and clinical confounders, the adjusted effect on the EQ-5D VAS score was −9.35 (SE = 2.46, p < 0.01) and on the EQ-5D utility score was 0.06 (SE = 0.04), although the latter was not statistically significant.

Conclusions

There was a large and statistically significant association between south Asian ethnicity and lower EQ-5D VAS scores. In contrast, there was no significant difference in EQ-5D utility scores between the south Asian and white European sub-groups. Further research is needed to explain the differences in effects on subjective EQ-5D VAS scores and population-weighted EQ-5D utility scores in this context.

Determinants of Health-Related Quality of Life (HRQoL) in the Multiethnic Singapore Population - A National Cohort Study

BACKGROUND

HRQoL is an important outcome to guide and promote healthcare. Clinical and socioeconomic factors may influence HRQoL according to ethnicity.

METHODOLOGY

A multiethnic cross-sectional national cohort (N = 7198) of the Singapore general population consisting of Chinese (N = 4873), Malay (N = 1167) and Indian (N = 1158) adults were evaluated using measures of HRQoL (SF-36 version 2), family functioning, health behaviours and clinical/laboratory assessments. Multiple regression analyses were performed to identify determinants of physical and mental HRQoL in the overall population and their potential differential effects by ethnicity. No a priori hypotheses were formulated so all interaction effects were explored.

PRINCIPAL FINDINGS

HRQoL levels differed between ethnic groups. Chinese respondents had higher physical HRQoL (PCS) than Indian and Malay participants (p<0.001) whereas mental HRQoL (MCS) was higher in Malay relative to Chinese participants (p<0.001). Regressions models explained 17.1% and 14.6% of variance in PCS and MCS respectively with comorbid burden, income and employment being associated with lower HRQoL. Age and family were associated only with MCS. The effects of gender, stroke and musculoskeletal conditions on PCS varied by ethnicity, suggesting non-uniform patterns of association for Chinese, Malay and Indian individuals.

CONCLUSIONS

Differences in HRQoL levels and determinants of HRQoL among ethnic groups underscore the need to better or differentially target population segments to promote well-being. More work is needed to explore HRQoL and wellness in relation to ethnicity.

SF-36v2 norms and its' discriminative properties among healthy households of tuberculosis patients in Malaysia

BACKGROUND

The aim of the study was to obtain norms of the SF-36v2 health survey and the association of summary component scores with socio-demographic variables in healthy households of tuberculosis (TB) patients.

DESIGN

All household members (18 years and above; healthy; literate) of registered tuberculosis patients who came for contact tracing during March 2010 to February 2011 at the respiratory clinic of Penang General Hospital were invited to complete the SF-36v2 health survey using the official translation of the questionnaire in Malay, Mandarin, Tamil and English. Scoring of the questionnaire was done using Quality Metric's QM Certified Scoring Software version 4. Multivariate analysis was conducted to uncover the predictors of physical and mental health.

RESULTS

A total of 649 eligible respondents were approached, while 525 agreed to participate in the study (response rate = 80.1 %). Out of consenting respondents, 46.5 % were male and only 5.3 % were over 75 years. Internal consistencies met the minimum criteria (α > 0.7). Reliability coefficients of the scales were always less than their own reliability coefficients. Mean physical component summary scale scores were equivalent to United States general population norms. However, there was a difference of more than three norm-based scoring points for mean mental component summary scores indicating poor mental health. A notable proportion of the respondents was at the risk of depression. Respondents aged 75 years and above (p = 0.001; OR 32.847), widow (p = 0.013; OR 2.599) and postgraduates (p < 0.001; OR 7.865) were predictors of poor physical health while unemployment (p = 0.033; OR 1.721) was the only predictor of poor mental health.

CONCLUSION

The SF-36v2 is a valid instrument to assess HRQoL among the households of TB patients. Study findings indicate the existence of poor mental health and risk of depression among family caregivers of TB patients. We therefore recommend that caregivers of TB patients to be offered intensive support and special attention to cope with these emotional problems.

Influence of ethnicity on health-related quality of life of hemodialysis patients in Singapore

OBJECTIVES

The association between health-related quality of life (HRQoL) and ethnicity has been studied among hemodialysis (HD) patients in several countries with varying results. However, the effect of ethnicity on the HRQoL of HD patients in the Asian context has yet to be evaluated. This study seeks to examine the HRQoL of HD patients in Singapore and to understand the influence of ethnicity on their HRQoL.

METHODS

A census-style survey inclusive of the KDQoL-SF. The AMA was conducted among all HD patients from 22 dialysis centers across Singapore. Multiple linear regression models were used to analyze the influence of ethnicity on each SF-36 scale while adjusting for the influence of socioeconomic status (SES) factors and other determinants of HRQoL.

RESULTS

Data from 1,249 HD patients were analyzed. Response rate was 63.3%. Compared with other ethnicities, Chinese were most likely to report lower HRQoL. After adjusting for sex, age, and other possible determinants of HRQoL, the influence of ethnicity on HRQoL persisted, with significant mean differences in role-physical, general health, role-emotional, and physical component summary scales.

CONCLUSIONS

After adjusting for demographic, SES, and other factors, ethnicity remained an important factor influencing HRQoL of Singaporean HD patients. Further studies are needed to identify modifiable factors that might explain the interethnic differences in HRQoL among HD patients.

Predictors of health related quality of life in older people with non-communicable diseases attending three primary care clinics in Malaysia

OBJECTIVES

To determine the health related quality of life and its predictive factors among older people with non-communicable diseases attending primary care clinics.

DESIGN

Cross-sectional study.

SETTING

Three public primary care clinics in a district in Selangor, Malaysia.

PARTICIPANTS

Registered patients aged 55 years and above.

MEASUREMENTS

A face-to-face interview was conducted using a validated questionnaire of Medical Outcome Study 36-item short form health survey (SF-36). The outcome measure was the health related quality of life (HRQoL) and other factors measured were socio demography, physical activity, social support (Duke-UNC Functional Social Support Questionnaire), and presence of non-communicable diseases.

RESULTS

A total of 347 participants had non-communicable diseases which included hypertension (41.8%), type 2 diabetes (33.7%), asthma (4.8%), hyperlipidaemia (1.7%), coronary heart disease (1.2%), and osteoarthritis (0.2%). Age ≥ 65 years old (OR =2.23; 95%CI=1.42, 3.50), single (OR=1.75; 95%CI=1.06,2.90), presence of co-morbid condition (OR=1.66; 95%CI=1.06, 2.61), and poorer social support (OR=2.11; 95%CI=1.27, 3.51; p=0.002) were significant predictors of poorer physical component of HRQoL . In predicting lower mental health component of HRQoL, the significant predictors were women (OR=2.28; 95%CI=1.44, 3.62), Indian ethnicity (OR=1.86; 95%CI=1.08, 3.21) and poorer social support (OR=2.71; 95%CI=1.63, 4.51). No interactions existed between these predictors.

CONCLUSION

Older people with non-communicable diseases were susceptible to lower health related quality of life. Increasing age, single, presence of co-morbid conditions, and poorer social support were predictors of lower physical health component of HRQoL. While the older women, Indian ethnicity and poorer social support reported lower mental health component of HRQoL.

Health-related Quality of Life is Associated with Diabetic Complications, but not with Short-term Diabetic Control in Primary Care

Introduction: Type 2 diabetes mellitus is of increasing healthcare concern worldwide, with incidence rising, complications leading to significant morbidity and mortality, posing strain on public healthcare funding. Health-related quality of life of diabetic patients is increasingly being recognised as “the ultimate goal of all health interventions”. The aim of our study was to identify the quality of life predictors of diabetic patients in primary care. This study was conducted in 8 public primary care polyclinics from SingHealth Polyclinics. Materials and Methods: We carried out a cross-sectional, questionnaire-based survey on 699 diabetic patients, administered by medical students on a systematic sample of patients during their routine visit. Multiple regression analysis was used to investigate the socio-demographic and clinical characteristics as predictors of quality of life, measured by the Short Form 36 Health Survey (SF-36) and the EQ-5D self-report questionnaire. Results: Higher quality of life in diabetic patients is associated with younger age, male gender, employed status, higher educational level and exercise. Lower quality of life is associated with comorbidities and diabetic complications. Short-term glycaemic control as measured by HbA1c did not correlate with quality of life. Most interestingly, confidence in doctor and satisfaction in clinic were related to better quality of life. Conclusion: Health-related quality of life is adversely associated with symptomatic complications of diabetes mellitus, but not with short-term diabetic control. This suggests that the diabetic patient may not appreciate the impact of good diabetic control immediately on his or her health-related quality of life. More effort should be invested into patient education of the importance of glycaemic control to prevent these long-term complications. Key words: Diabetes mellitus, Haemoglobin A Glycosylated, Health surveys, Primary health care, Quality of life, Singapore

A meta-analysis of health state valuations for people with diabetes: explaining the variation across methods and implications for economic evaluation

PURPOSE

To review published studies on the effect of diabetes and its complications on utility scores to establish whether there is systematic variation across studies and to examine the implications for the estimation of quality-adjusted life years (QALYs).

METHODS

A systematic review was performed using studies reporting QALY measures elicited from people with diabetes including those with a history of complications. Meta-analysis was used to obtain the average utility, and meta-regression was employed to examine the impact of study characteristics and elicitation methods on these values. The effect of different utility scores on QALYs was examined using diabetes simulation models.

RESULTS

In the meta-analysis based on 45 studies reporting 66 values, the average utility score was 0.76 (95% CI 0.75-0.77). A meta-regression showed significant variation due to age, method of elicitation and the proportion of males. The average utility score for individual complications ranged from 0.48 (95% CI 0.25, 0.71) for chronic renal disease to 0.75 (95% CI 0.73, 0.78) for myocardial infarction, and these differences produced meaningful changes in simulated QALYs. There was significant heterogeneity between studies.

CONCLUSIONS

We provide summary utility scores for diabetes and its major complications that could help inform economic evaluation and policy analysis.

Quality of life in glaucoma and three other chronic diseases: a systematic literature review

Chronic diseases have a long-term negative impact on quality of life (QOL). Decreased QOL is associated with increased financial burden on healthcare systems and society. However, few publications have investigated the impact of glaucoma on patients' QOL in comparison with other chronic diseases observed in patients with similar demographic characteristics. To this end, a systematic literature search to assess QOL in glaucoma and three other chronic diseases (osteoporosis, type 2 diabetes mellitus and dementia) was performed. A total of 146 publications were identified that reported QOL using six commonly used generic QOL instruments: 36-, 12- and 20-item Short-Form Health Surveys (SF-36, -12 and -20), EuroQoL (EQ-5D), Sickness Impact Profile (SIP) and the Health Utilities Index-Mark III (HUI-III). The publication breakdown was as follows: glaucoma (10%), osteoporosis (26%), diabetes (52%) and dementia (12%); one publication assessed QOL in glaucoma, diabetes and dementia. QOL was affected to a similar or slightly lesser degree by glaucoma than by osteoporosis, diabetes or dementia. Among the publications reporting SF-36, -12 and -20 evaluations, physical component scores were generally lower than mental component scores across all diseases. QOL was affected more in patients with glaucoma than in demographically matched non-glaucomatous controls according to SF-20 assessment. EQ-5D and SIP results showed that QOL decreased as the severity of glaucoma increased. Patients with glaucoma had the lowest scores on the SIP instrument, indicating better QOL than patients with osteoporosis or diabetes (no data were available on dementia). The HUI-III instrument identified poorer QOL in patients with dementia than other diseases, probably due to cognitive deficits. However, for some of the instruments, data were scarce, and interpretation of the results should be conservative. Although there are limited published QOL studies in glaucoma, its impact on QOL appears to be broadly similar to that of other serious chronic diseases. Development of a QOL instrument that measures vision-specific and general health aspects would better document the impact of glaucoma on QOL and would facilitate comparisons with other chronic disease states.

Predicting the short form-6D preference-based index using the eight mean short form-36 health dimension scores: estimating preference-based health-related utilities when patient level data are not available

OBJECTIVE

The objective is to derive an algorithm to predict a cohort preference-based short form-6D (short form-6D) score using the eight mean health dimension scores from the short form-36 (SF-36) when patient level data are not available.

METHODS

Health-related quality of life data (N = 6890) covering a wide range of health conditions was used to explore the relationship between the SF-6D and the eight health dimension scores. Models obtained using ordinary least square regressions were compared for goodness of fit and predictive abilities on both within-sample subgroups and out-of-sample published data sets.

RESULTS

The models explained more than 83% of the variance in the individual SF-6D scores with a mean absolute error of 0.040. When using mean health dimension scores from within-sample subgroups and out-of-sample published data sets, the majority of predicted scores were well within the minimal important difference (0.041) for the SF-6D.

CONCLUSIONS

This article presents a mechanism to estimate a mean cohort preference-based SF-6D score using the eight mean health dimension scores of the SF-36. Using published summary statistics, the out-of-sample validation demonstrates that the algorithms can be used to inform both clinical and economic research. Further research is required in different health conditions.

Ethnic and gender differences in psychosocial factors, glycemic control, and quality of life among adult type 2 diabetic patients

OBJECTIVE

To examine ethnic and gender differences in psychosocial factors, e.g., social support and acceptance of the disease, knowledge levels, perceived difficulty in adherence behaviors, and diabetes outcome (glycemic control and quality of life) in Type 2 diabetic patients.

METHODS

Data were collected via telephone interviews from 180 diabetic subjects (34% Hispanics, 27% Non-Hispanic whites, 18% African-Americans, and 20% Asian-Indians; 52% females) from 2 clinics. Hemoglobin A1c levels were obtained from patient charts.

RESULTS

Significant ethnic and gender differences existed in acceptance of the disease, in receiving social support, disease knowledge, perceived difficulty in self-management behaviors, glycemic control, and quality of life among Type 2 diabetic patients; differences were more pronounced by gender than by ethnicity. In general, social support and acceptance of the disease were high. However, perceived difficulty in self-management behaviors varied by racial/ethnic groups with self-monitoring of blood glucose perceived as most difficult by Hispanic respondents, dietary management was most difficult for non-Hispanic whites, while physical activity was the most difficult for African-Americans. Hispanic respondents had greatest severity of the disease (poorest metabolic control).

CONCLUSIONS

Ethnic and gender variations exist in social support, acceptance of diabetes, quality of life, and adherence behaviors. The outcomes of diabetes care can be improved if practitioners factor these differences in tailoring diabetes education and supportive care for individuals with Type 2 diabetes.

Gender, ethnicity, health behaviour & self-rated health in Singapore

Background

Self-rated health and the factors that influence it have never been described in Singapore before. This paper presents a descriptive study of self-rated health in a nationally representative cross-sectional survey of 6236 persons.

Methods

As part of the National Health Surveillance Survey 2001, 6236 subjects aged 18 years and above were interviewed in the homes of participants by trained interviewers. The subjects were asked "In general, how would you rate your health today?", and given 5 possible responses. These were then categorized as "Good" (very good and good) and "Poor" (moderate, bad and very bad) self-rated health. The association of socio-economic and health behaviour risk factors with good self-rated health was studied using univariate and multivariate logistic regression analysis.

Results

Univariate analyses suggest that gender, ethnicity, marital status, education, household income, age, self-reported doctor-diagnosed illnesses, alcohol intake, exercise and BMI are all associated with poor self-rated health. In multivariate regression analyses, gender, ethnicity, household income, age, self-reported illness and current smoking and BMI were associated with poor self-rated health. There are gender differences in the association of various factors such as household income, smoking and BMI to self-rated health.

Conclusion

Socioeconomic factors and health behaviours are significantly associated with self-rated health, and gender differences are striking. We discuss why these factors may impact self-rated health and why gender differences may have been observed, propose directions for further research and comment on the public policy implications of our findings.

Health-related quality of life in children with asthma from different ethnic origins

This study aimed to identify and explain differences in health-related quality of life (QoL) between immigrant and non-immigrant children with asthma. In 274 children (7-17 years of age) generic and asthma-related QoL were assessed. The association between ethnicity and QoL was studied in linear regression model analyses. For the asthma-related QoL, unadjusted analyses showed significant ethnic differences. The non-immigrant children had the highest scores, which implies a better QoL. After adjusting for asthma control and socioeconomic status (SES), ethnic differences disappeared. These results suggest that immigrant children have a similar QoL to that of non-immigrant children from a comparable SES, when their asthma is under control.

The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms

BACKGROUND

The SF36 Version 2 (SF36V2) is a revision of the SF36 Version 1, and is a widely used health status measure. It is important that guidelines for interpreting scores are available.

METHOD

A population sample of Australians (n = 3015) weighted to achieve representativeness was administered the SF36V2. Comparisons between published US weights and sample derived weights were made, and Australian population norms computed and presented.

MAJOR FINDINGS

Significant differences were observed on 7/8 scales and on the mental health summary scale. Possible causes of these findings may include different sampling and data collection procedures, demographic characteristics, differences in data collection time (1998 vs. 2004), differences in health status or differences in cultural perception of the meaning of health. Australian population norms by age cohort, gender and health status are reported by T-score as recommended by the instrument developers. Additionally, the proportions of cases within T-score deciles are presented and show there are important data distribution issues.

PRINCIPAL CONCLUSIONS

The procedures reported here may be used by other researchers where local effects are suspected. The population norms presented may be of interest. There are statistical artefacts associated with T-scores that have implications for how SF36V2 data are analysed and interpreted.

Using the Short Form 6D, as an overall measure of health, to predict damage accrual and mortality in patients with systemic lupus erythematosus: XLVII, results from a multiethnic US cohort

OBJECTIVE

To determine if overall health status as assessed by the Short Form 6D (SF-6D) index, a preference-based generic measure of health, is associated with the occurrence of damage accrual and mortality in patients with systemic lupus erythematosus (SLE).

METHODS

We studied SLE patients (American College of Rheumatology criteria) from the LUpus in MInorities, NAture versus nurture cohort (LUMINA), a longitudinal multiethnic cohort. The contribution of the SF-6D as assessed at enrollment to damage accrual at the last visit and mortality was examined. All variables previously shown to be determinants of damage accrual and mortality and corroborated by univariable analyses were adjusted for in multivariable models (Poisson and Cox proportional hazards regressions, respectively). Damage accrual and mortality were the dependent variables. Similar analyses were performed examining the associations of the Short Form 36 summary measures (physical component summary [PCS], mental component summary [MCS]) with these outcomes.

RESULTS

In 552 patients, the SF-6D was negatively associated with damage accrual and mortality in the univariable analyses; the association with damage was confirmed in the multivariable analyses (chi(2) = 9.020, P = 0.002) but the association with mortality was not confirmed (hazard ratio 0.495, 95% confidence interval 0.041-6.038). When the PCS and MCS were evaluated, the PCS, but not the MCS, was found to be associated with damage but not with mortality.

CONCLUSION

The SF-6D (and the PCS) as measured early in the disease course were found to independently predict damage accrual at the last visit, but not mortality. Although the SF-6D was originally conceived as a utility measure, it may be used to accurately assess overall health status in patients with SLE.