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Fulltext Contextualizing chronicity: a perspective from Malaysia

Yasin S, Chan CK, Reidpath DD, Allotey P

Global Health, 2012 Mar 08;8:4.
PMID: 22397462 DOI: 10.1186/1744-8603-8-4
Chronic disease profiles of subjective memory complaints: a latent class analysis of older people in a rural Malaysian community

Yap KH, Warren N, Allotey P, Reidpath DD

Aging Ment Health, 2020 05;24(5):709-716.
PMID: 30588848 DOI: 10.1080/13607863.2018.1550632

Background: Subjective memory complaints (SMC) are common in the elderly and have been suggested as the first subtle sign of decline which can predict dementia. Cognitive decline is thought to be related to inflammatory processes similarly found in other chronic diseases and conditions such as stroke, heart disease and arthritis. This study aimed to examine the association of SMC with chronic diseases and the profile of these health conditions reported by a group of older adults.Methods: Data from a cross-sectional survey conducted from August 2013 and March 2014 was drawn from 6179 individuals aged 56 years and above. Multivariable logistic regression analyses were used to examine SMC's relationship with individual chronic diseases (asthma, kidney disease, heart disease, stroke, arthritis, hypertension and diabetes) and multimorbidity. Latent class analysis (LCA) was used to identify the profile of health conditions. The effect of SMC was estimated in a multinomial logistic regression as part of the latent class model.Results: SMC was statistically significant in its association with asthma, stroke, heart disease, arthritis and multimorbidity in the fully controlled multivariable logistic regression models. Three health profiles were identified: low comorbidity (n = 4136, low rates in all health conditions), arthritis group (n = 860) and diabetes and hypertension group (n = 1183). SMC was associated with arthritis group (OR = 2.04, 95% CI = 1.51-2.75) and diabetes and hypertension group (OR = 1.22, 95% CI = 1.03-1.46).Conclusion: Adapting a combination of analytical approaches allows a better understanding in the assessment of SMC's relationship with chronic diseases and the patterns of distribution of these health conditions.
Understandings of stroke in rural Malaysia: ethnographic insights

Yap KH, Warren N, Allotey P, Reidpath DD

Disabil Rehabil, 2021 02;43(3):345-353.
PMID: 31169419 DOI: 10.1080/09638288.2019.1624841

BACKGROUND: Stroke is a public health concern in Malaysia but local beliefs and lay understandings of stroke have not been examined before. Explanatory models provide a way for people to make sense of their illness and influence health seeking behaviors, in a locally relevant way.
METHODS: Drawing on ethnographic research from rural Malaysia, this descriptive article explores ethnic Malaysian-Chinese stroke survivors' lay understandings of stroke. Eighteen community-dwelling stroke survivors aged 50-83 took part in the study.
RESULTS: Causation of stroke was derived from cultural, biomedical and social sources. Participants also drew simultaneously from both biomedical and traditional explanations of stroke to develop their own understanding of etiology. Similarities with biomedical causation and other studies from different cultures were found. Participants' typically focused on the more immediate effects of stroke and often do not attribute causation and association with their comorbid conditions which are also risk factors of stroke.
CONCLUSION: Lack of knowledge about stroke and its symptoms was evident in participants' account. Findings emphasize the importance of knowledge based health interventions, especially in health education strategies for stroke survivors to reduce delays to diagnosis and potentially improve health outcomes post-stroke. Implications for rehabilitation Stroke survivors often form explanatory models of stroke that draw from both biomedical and traditional explanations of stroke. Understanding how people derive lay understandings of stroke can contribute towards developing the goals and activities that facilitate recovery and rehabilitation in similar settings. Health practitioners in the community should strengthen communication regarding the identification, etiology and risk factors of stroke with stroke survivors and their carers to improve compliance to medication, exercise and diet for better recovery. Sustained health education which is culturally relevant is recommended. Communication should also include non-physical impact of stroke (such as cognitive deficits and emotional difficulties) as the stroke survivors were unlikely to relate such symptoms to stroke.
Fulltext Effects of Subjective Memory Complaints (SMCs) and Social Capital on Self-Rated Health (SRH) in a Semirural Malaysian Population

Yap KH, Mohan D, Stephan BCM, Warren N, Allotey P, Reidpath DD

J Aging Res, 2019;2019:9151802.
PMID: 31093373 DOI: 10.1155/2019/9151802

Subjective memory complaints (SMCs) and social capital were known to be related to self-rated health (SRH). Despite this, no studies have examined the potential interaction of SMC and social capital on SRH. Using data from a cross-sectional health survey of men and women aged 56 years and above (n = 6,421), we examined how SMCs and social capital explained SRH in a population of community-dwelling older adults in a semirural area in Malaysia. We also evaluated whether SRH's relationship with SMCs is moderated by social capital. The association of SMC and social capital with poor SRH was investigated using multivariable logistic regression. Social capital (OR = 0.86, 95% CI = 0.82-0.89), mild SMC (OR = 1.70, 95% CI = 1.50-1.94), and moderate SMC (OR = 1.90, 95% CI = 1.63-2.20) were found to be associated with poor SRH after adjustment for sociodemographic factors and depression in the initial regression model. SMC was found to have partial interaction effects with social capital which was included in the subsequent regression model. Unlike individuals with no SMC and mild SMC, those who reported moderate SMC did not show decreasing probabilities of poor SRH despite increasing levels of social capital. Nevertheless, this analysis suggests that social capital and SMC are independent predictors of poor SRH. Further research needs to be targeted at improving the understanding on how social capital and SMC moderate and interact with the perception of health in older adults.
Fulltext Interpretations of self-rated health in stroke survivors from a semi-rural community in South East Asia

Yap KH, Warren N, Reidpath DD, Allotey P

Int J Qual Stud Health Well-being, 2019 Dec;14(1):1613875.
PMID: 31120385 DOI: 10.1080/17482631.2019.1613875

Purpose: Stroke survivors report poorer self-rated health (SRH) compared to the general population but there is limited understanding on what contributes to SRH. This ethnographic study examined the individual and contextual factors that shape stroke survivors' SRH in a rural middle income country situated in South East Asia. Methods: Ethnographic methods which encompasses various data collection methods from different data sources were used in this study to describe the socio-cultural context of 16 stroke survivors living in a rural village. Within this context, the experiences of these participants were then interpreted in terms of what contributed to their perception of health and recovery, juxtaposed with objectively measure physical and cognitive states. Results: SRH reflected the post stroke adjustment of stroke survivors. Better SRH was influenced by good post-stroke adjustment that was achieved by a combination of physical functioning, cognitive functioning, emotional well-being and family support. Poorer SRH appear to reflect poor post-stroke adjustment regardless of the objective physical and cognitive states of the stroke survivors. It was also observed that cognitive deficits, though its presence was acknowledged by participants, were usually not taken into account when rating SRH. However, while physical functioning was perceived by participants to directly impact SRH, the presence of cognitive deficits (often in tandem with depressive symptoms) indirectly complicated the recovery of physical functions treasured by participants. Conclusion: Stroke survivors reporting poorer SRH warrant further attention and intervention from health practitioners supporting the longer-term needs of stroke survivors in similar settings.
Fulltext Sustainable development goals, universal health coverage and equity in health systems: the Orang Asli commons approach

Wong YS, Allotey P, Reidpath DD

Glob Health Epidemiol Genom, 2016;1:e12.
PMID: 29868204 DOI: 10.1017/gheg.2016.8

Universal health coverage is a key health target in the Sustainable Development Goals (SDGs) that has the means to link equitable social and economic development. As a concept firmly based on equity, it is widely accepted at international and national levels as important for populations to attain 'health for all' especially for marginalised groups. However, implementing universal coverage has been fraught with challenges and the increasing privatisation of health care provision adds to the challenge because it is being implemented in a health system that rests on a property regime that promotes inequality. This paper asks the question, 'What does an equitable health system look like?' rather than the usual 'How do you make the existing health system more equitable?' Using an ethnographic approach, the authors explored via interviews, focus group discussions and participant observation a health system that uses the commons approach such as which exists with indigenous peoples and found features that helped make the system intrinsically equitable. Based on these features, the paper proposes an alternative basis to organise universal health coverage that will better ensure equity in health systems and ultimately contribute to meeting the SDGs.
A multilevel approach to assessing temporal change of CD4 recovery following HAART initiation in a cohort of Chinese HIV positive patients

Wong NS, Reidpath DD, Wong KH, Lee SS

J Infect, 2015 Jun;70(6):676-8.
PMID: 25452038 DOI: 10.1016/j.jinf.2014.10.012
Religiosity, dietary habit, intake of fruit and vegetable, and vegetarian status among Seventh-Day Adventists in West Malaysia

Tan MM, Chan CK, Reidpath DD

J Behav Med, 2016 08;39(4):675-86.
PMID: 27010212 DOI: 10.1007/s10865-016-9736-8

Religion has been shown to be salutary on health, and a possible link between religion and positive health outcomes is diet. Research has shown that religiosity is associated with better diet but most studies were conducted in a multi-denominational context, which might be confounded with theological differences. This study examined the relationship between religiosity and diet within a homogenous group of believers. Data from survey of 574 Seventh-Day Adventists residing in West Malaysia, aged 18-80, were analyzed using multiple regressions. While none of the religious variables were significantly associated with fruit and vegetable intake, a higher level of religiosity was associated with a better dietary habit and vegetarian status. The mixed relationship between religiosity and diet suggest that further research is needed to explore how religion might influence the diet of adherents.
Religiousness and Quality of Life Among Older Adults of Different Ethnic Groups in Malaysia: A Five-Year Follow-up Study

Tan MM, Reidpath DD, Ting RS, Allotey P, Su TT

J Relig Health, 2021 Jul 29.
PMID: 34324099 DOI: 10.1007/s10943-021-01371-x

Research has shown that religion is associated with a better quality of life (QoL). This study aims to examine ethnic differences in the association between religion and the QoL of older adults in a predominantly Muslim population within a multicultural setting. Two-wave data of 3,810 participants consisting of mostly Muslims and older adults aged ≥ 55 years were collected as part of the community health surveys conducted in 2013 and 2018 in the South East Asia Community Observatory (SEACO). Both cross-sectional analyses of baseline data and prospective analyses of longitudinal data were conducted. The associations between religiosity and quality of life were mainly positive in the cross-sectional analysis. In the two-wave analysis, religious importance was negatively associated with QoL among the Malays (B = - 1.103, SE B = 0.029, p
Does the social gradient remain in the dietary habits of a health-conscious population? A study of Seventh-Day Adventists in West Malaysia

Tan MM, Chan CKY, Reidpath DD

J Public Health (Oxf), 2017 Dec 01;39(4):e179-e185.
PMID: 27738128 DOI: 10.1093/pubmed/fdw109

Background: Socioeconomic status (SES) is a strong predictor of health, and individuals with higher SES generally have better health than those with lower SES. One of the pathways that SES influences health is through health behaviors, such as dietary intake, and a higher SES has been associated with a better diet. The purpose of this study was to determine whether there was a social gradient in dietary habits among the Seventh-Day Adventists, a group of conservative Christians, where healthy eating is part of the doctrinal teaching.
Methods: Data from a survey of 574 Adventists residing in West Malaysia, aged 18-80 years, were analyzed. Dietary habits were measured using the Nutrition subscale of Health Promoting Lifestyle Profile II.
Results: Education and income were significantly associated with dietary habits before and after controlling for demographics. There was a gradient of association; a higher level of education and higher income were associated with better dietary habits. However, only education remained significantly associated with dietary habits when the other two socioeconomic variables were included. Employment was not significantly associated with dietary habits before or after controlling for demographic variables and the other two sociodemographic variables.
Conclusions: This study showed that education is the strongest predictor of healthy diet, and a social gradient in dietary habits still exists even among health-conscious population.
Fulltext Religiosity and spirituality and the intake of fruit, vegetable, and fat: a systematic review

Tan MM, Chan CK, Reidpath DD

Evid Based Complement Alternat Med, 2013;2013:146214.
PMID: 24319472 DOI: 10.1155/2013/146214

Objectives. To systematically review articles investigating the relationship between religion and spirituality (R/S) and fruit, vegetable, and fat intake. Methods. PubMed, CINAHL, and PsycInfo were searched for studies published in English prior to March 2013. The studies were divided into two categories: denominational studies and degree of R/S studies. The degree of R/S studies was further analyzed to (1) determine the categories of R/S measures and their relationship with fruit, vegetable, and fat intake, (2) evaluate the quality of the R/S measures and the research design, and (3) determine the categories of reported relationship. Results. Thirty-nine studies were identified. There were 14 denominational studies and 21 degree of R/S studies, and 4 studies were a combination of both. Only 20% of the studies reported validity and 52% reported reliability of the R/S measures used. All studies were cross-sectional, and only one attempted mediation analysis. Most studies showed a positive association with fruit and vegetable intake and a mixed association with fat intake. Conclusion. The positive association between R/S and fruit and vegetable intake may be one possible link between R/S and positive health outcome. However, the association with fat intake was mixed, and recommendations for future research are made.
Fulltext The use of quantile regression to forecast higher than expected respiratory deaths in a daily time series: a study of New York City data 1987-2000

Soyiri IN, Reidpath DD

PLoS One, 2013;8(10):e78215.
PMID: 24147122 DOI: 10.1371/journal.pone.0078215

Forecasting higher than expected numbers of health events provides potentially valuable insights in its own right, and may contribute to health services management and syndromic surveillance. This study investigates the use of quantile regression to predict higher than expected respiratory deaths. Data taken from 70,830 deaths occurring in New York were used. Temporal, weather and air quality measures were fitted using quantile regression at the 90th-percentile with half the data (in-sample). Four QR models were fitted: an unconditional model predicting the 90th-percentile of deaths (Model 1), a seasonal/temporal (Model 2), a seasonal, temporal plus lags of weather and air quality (Model 3), and a seasonal, temporal model with 7-day moving averages of weather and air quality. Models were cross-validated with the out of sample data. Performance was measured as proportionate reduction in weighted sum of absolute deviations by a conditional, over unconditional models; i.e., the coefficient of determination (R1). The coefficient of determination showed an improvement over the unconditional model between 0.16 and 0.19. The greatest improvement in predictive and forecasting accuracy of daily mortality was associated with the inclusion of seasonal and temporal predictors (Model 2). No gains were made in the predictive models with the addition of weather and air quality predictors (Models 3 and 4). However, forecasting models that included weather and air quality predictors performed slightly better than the seasonal and temporal model alone (i.e., Model 3 > Model 4 > Model 2) This study provided a new approach to predict higher than expected numbers of respiratory related-deaths. The approach, while promising, has limitations and should be treated at this stage as a proof of concept.
Forecasting asthma-related hospital admissions in London using negative binomial models

Soyiri IN, Reidpath DD, Sarran C

Chron Respir Dis, 2013 May;10(2):85-94.
PMID: 23620439 DOI: 10.1177/1479972313482847

Health forecasting can improve health service provision and individual patient outcomes. Environmental factors are known to impact chronic respiratory conditions such as asthma, but little is known about the extent to which these factors can be used for forecasting. Using weather, air quality and hospital asthma admissions, in London (2005-2006), two related negative binomial models were developed and compared with a naive seasonal model. In the first approach, predictive forecasting models were fitted with 7-day averages of each potential predictor, and then a subsequent multivariable model is constructed. In the second strategy, an exhaustive search of the best fitting models between possible combinations of lags (0-14 days) of all the environmental effects on asthma admission was conducted. Three models were considered: a base model (seasonal effects), contrasted with a 7-day average model and a selected lags model (weather and air quality effects). Season is the best predictor of asthma admissions. The 7-day average and seasonal models were trivial to implement. The selected lags model was computationally intensive, but of no real value over much more easily implemented models. Seasonal factors can predict daily hospital asthma admissions in London, and there is a little evidence that additional weather and air quality information would add to forecast accuracy.
Forecasting peak asthma admissions in London: an application of quantile regression models

Soyiri IN, Reidpath DD, Sarran C

Int J Biometeorol, 2013 Jul;57(4):569-78.
PMID: 22886344 DOI: 10.1007/s00484-012-0584-0

Asthma is a chronic condition of great public health concern globally. The associated morbidity, mortality and healthcare utilisation place an enormous burden on healthcare infrastructure and services. This study demonstrates a multistage quantile regression approach to predicting excess demand for health care services in the form of asthma daily admissions in London, using retrospective data from the Hospital Episode Statistics, weather and air quality. Trivariate quantile regression models (QRM) of asthma daily admissions were fitted to a 14-day range of lags of environmental factors, accounting for seasonality in a hold-in sample of the data. Representative lags were pooled to form multivariate predictive models, selected through a systematic backward stepwise reduction approach. Models were cross-validated using a hold-out sample of the data, and their respective root mean square error measures, sensitivity, specificity and predictive values compared. Two of the predictive models were able to detect extreme number of daily asthma admissions at sensitivity levels of 76 % and 62 %, as well as specificities of 66 % and 76 %. Their positive predictive values were slightly higher for the hold-out sample (29 % and 28 %) than for the hold-in model development sample (16 % and 18 %). QRMs can be used in multistage to select suitable variables to forecast extreme asthma events. The associations between asthma and environmental factors, including temperature, ozone and carbon monoxide can be exploited in predicting future events using QRMs.
Fulltext Humans as animal sentinels for forecasting asthma events: helping health services become more responsive

Soyiri IN, Reidpath DD

PLoS One, 2012;7(10):e47823.
PMID: 23118897 DOI: 10.1371/journal.pone.0047823

The concept of forecasting asthma using humans as animal sentinels is uncommon. This study explores the plausibility of predicting future asthma daily admissions using retrospective data in London (2005-2006). Negative binomial regressions were used in modeling; allowing the non-contiguous autoregressive components. Selected lags were based on partial autocorrelation function (PACF) plot with a maximum lag of 7 days. The model was contrasted with naïve historical and seasonal models. All models were cross validated. Mean daily asthma admission in 2005 was 27.9 and in 2006 it was 28.9. The lags 1, 2, 3, 6 and 7 were independently associated with daily asthma admissions based on their PACF plots. The lag model prediction of peak admissions were often slightly out of synchronization with the actual data, but the days of greater admissions were better matched than the days of lower admissions. A further investigation across various populations is necessary.
Fulltext Evolving forecasting classifications and applications in health forecasting

Soyiri IN, Reidpath DD

Int J Gen Med, 2012;5:381-9.
PMID: 22615533 DOI: 10.2147/IJGM.S31079

Health forecasting forewarns the health community about future health situations and disease episodes so that health systems can better allocate resources and manage demand. The tools used for developing and measuring the accuracy and validity of health forecasts commonly are not defined although they are usually adapted forms of statistical procedures. This review identifies previous typologies used in classifying the forecasting methods commonly used in forecasting health conditions or situations. It then discusses the strengths and weaknesses of these methods and presents the choices available for measuring the accuracy of health-forecasting models, including a note on the discrepancies in the modes of validation.
Fulltext Semistructured black-box prediction: proposed approach for asthma admissions in London

Soyiri IN, Reidpath DD

Int J Gen Med, 2012;5:693-705.
PMID: 22973117 DOI: 10.2147/IJGM.S34647

Asthma is a global public health problem and the most common chronic disease among children. The factors associated with the condition are diverse, and environmental factors appear to be the leading cause of asthma exacerbation and its worsening disease burden. However, it remains unknown how changes in the environment affect asthma over time, and how temporal or environmental factors predict asthma events. The methodologies for forecasting asthma and other similar chronic conditions are not comprehensively documented anywhere to account for semistructured noncausal forecasting approaches. This paper highlights and discusses practical issues associated with asthma and the environment, and suggests possible approaches for developing decision-making tools in the form of semistructured black-box models, which is relatively new for asthma. Two statistical methods which can potentially be used in predictive modeling and health forecasting for both anticipated and peak events are suggested. Importantly, this paper attempts to bridge the areas of epidemiology, environmental medicine and exposure risks, and health services provision. The ideas discussed herein will support the development and implementation of early warning systems for chronic respiratory conditions in large populations, and ultimately lead to better decision-making tools for improving health service delivery.
Fulltext An overview of health forecasting

Soyiri IN, Reidpath DD

Environ Health Prev Med, 2013 Jan;18(1):1-9.
PMID: 22949173 DOI: 10.1007/s12199-012-0294-6

Health forecasting is a novel area of forecasting, and a valuable tool for predicting future health events or situations such as demands for health services and healthcare needs. It facilitates preventive medicine and health care intervention strategies, by pre-informing health service providers to take appropriate mitigating actions to minimize risks and manage demand. Health forecasting requires reliable data, information and appropriate analytical tools for the prediction of specific health conditions or situations. There is no single approach to health forecasting, and so various methods have often been adopted to forecast aggregate or specific health conditions. Meanwhile, there are no defined health forecasting horizons (time frames) to match the choices of health forecasting methods/approaches that are often applied. The key principles of health forecasting have not also been adequately described to guide the process. This paper provides a brief introduction and theoretical analysis of health forecasting. It describes the key issues that are important for health forecasting, including: definitions, principles of health forecasting, and the properties of health data, which influence the choices of health forecasting methods. Other matters related to the value of health forecasting, and the general challenges associated with developing and using health forecasting services are discussed. This overview is a stimulus for further discussions on standardizing health forecasting approaches and methods that will facilitate health care and health services delivery.
Shisha (waterpipe) smoking initiation among youth in Malaysia and global perspective: a scoping review (2006-2015)

Singh SK, Enzhong L, Reidpath DD, Allotey P

Public Health, 2017 Mar;144:78-85.
PMID: 28274388 DOI: 10.1016/j.puhe.2016.11.022

OBJECTIVE: To explore the initiating factors of waterpipe tobacco smoking (WTS) among youth.

STUDY DESIGN: The analytic framework for this scoping review was performed using the methodology outlined by Arksey and O'Malley, which includes identification of the research question, study selection, charting the data, collating, summarizing and reporting the results that were primarily guided by the research question; 'what is known about the initiation of shisha smoking among youth?'

METHODS: Electronic databases such as Cochrane, MEDLINE and PsycINFO were used to search for relevant articles. Articles included were all in English and published within the year of 2006 to 2015. Inclusion criteria; i) age range of 10 to 29 years; ii) examined the reasons why youth started or tried WTS; iii) in full text. Therefore, 26 articles were included in this scoping review.

RESULTS: This review has identified and classified the initiating factors of WTS among youth in four subtopics: individual factors, interpersonal influences, cigarettes and alcohol use, and media influences. Individual factors and interpersonal influences played an important role in initiation factors of WTS among youth.

CONCLUSION: This study concludes that public health professionals within the Southeast Asia region need to promote innovative preventive measures through peer-to-peer led interventions that are also easily assessable on social media platforms. The public health messages need to address the misconceptions of risk associated to WTS use.
Fulltext Challenges and opportunities for breast cancer early detection among rural dwelling women in Segamat District, Malaysia: A qualitative study

Schliemann D, Hoe WMK, Mohan D, Allotey P, Reidpath DD, Tan MM, et al.

PLoS One, 2022;17(5):e0267308.
PMID: 35594267 DOI: 10.1371/journal.pone.0267308

INTRODUCTION: Breast cancer patients in low- and middle-income countries often present at an advanced stage. This qualitative study elicited views regarding the challenges and opportunities for breast cancer screening and early detection among women in a low-income semi-rural community in Segamat district, Malaysia.
METHODS: Individual semi-structured interviews with 22 people (health professionals, cancer survivors, community volunteers and member from a non-governmental organization) and four focus group discussions (n = 22 participants) with women from a local community were conducted. All participants were purposively sampled and female residents registered with the South East Asia Community Observatory aged ≥40 years were eligible to participate in the focus group discussions. Data were transcribed verbatim and analyzed using thematic analysis.
RESULTS: The thematic analysis illuminated barriers, challenges and opportunities across six domains: (i) personal experiences and barriers to help-seeking as well as financial and travel access barriers; (ii) primary care challenges (related to delivering clinical breast examination and teaching breast-self-examination); (iii) secondary care challenges (related to mammogram services); (iv) disconnection between secondary and primary care breast cancer screening pathways; and (v) opportunities to improve breast cancer early detection relating to community civil service society activities (i.e. awareness raising, support groups, addressing stigma/embarrassment and encouraging husbands to support women) and vi) links between public healthcare personnel and community (i.e. improving breast self-examination education, clinical breast examination provision and subsidised mammograms).
CONCLUSION: The results point to a variety of reasons for low uptake and, therefore, to the complex nature of improving breast cancer screening and early detection. There is a need to adopt a systems approach to address this complexity and to take account of the socio-cultural context of communities in order, in turn, to strengthen cancer control policy and practices in Malaysia.

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