The dynamics of the relationship between diabetes incidence and low income: longitudinal results from Canada's National Population Health Survey.

UNLABELLED: This paper sheds light on the dynamic relationship between people's experiences of low income and the development of type 2 diabetes (T2DM) by moving beyond the static perspective provided by cross-sectional studies to a long-term approach informed by longitudinal analyses. METHODS: We analyzed data from the Canadian National Population Health Survey (NPHS) conducted by Statistics Canada from 1994 to 2007. The longitudinal sample is composed of 17,276 respondents (8046 males, 9230 females) 12 years of age or older. We further developed an algorithm to distinguish T2DM from other types of diabetes. Proportional hazard models with time-varying predictors were used to explore the dynamics of the relationship between low income and T2DM. RESULTS: The results suggest that living in low income and experiencing persistent low income are significant precursors of developing T2DM. Being in low income in the previous cycle of T2DM onset was associated with 77% higher risk of T2DM (hazard ratio 1.77; 95% CI: 1.48-2.12). The association between low income and diabetes incidence remains significant after adjusting for age, sex, health behaviors, and psychological distress (hazard ratio 1.24; 95% CI: 1.02-1.52). CONCLUSION: This study contributes to the under-developed research examining longitudinally the relationship between socioeconomic status and diabetes incidence. Employing this long-term approach, this study calls attention to the primary effect of socioeconomic position on diabetes incidence that cannot be explained entirely by behavioral factors. Findings draw attention to the need to address the role played in T2DM by the inequitable distribution of the social determinants of health.

Diabetes prevalence and income: Results of the Canadian Community Health Survey.

UNLABELLED: This paper contributes to a growing body of literature indicating the importance of income as a key socioeconomic status marker in accounting for the increased prevalence of type 2 diabetes (T2DM). METHODS: We analyzed data from the Canadian Community Health Survey cycle 3.1 conducted by Statistics Canada. Descriptive statistics on the prevalence of self-reported diabetes were computed. Multiple logistic regression was used to examine the association between income and prevalence of T2DM. RESULTS: In 2005 an estimated 1.3 million Canadians (4.9%) reported having diabetes. The prevalence of T2DM in the lowest income group is 4.14 times higher than in the highest income group. Prevalence of diabetes decreases steadily as income goes up. The likelihood of diabetes was significantly higher for low-income groups even after adjusting for socio-demographic status, housing, BMI and physical activity. There is a graded association between income and diabetes with odds ratios almost double for men (OR 1.94, 95% CI 1.57-2.39) and almost triple for women (OR 2.75 95% CI 2.24-3.37) in the lowest income compared to those in highest income. CONCLUSION: These findings suggest that strategies for diabetes prevention should combine person-centered approaches generally recommended in the diabetes literature research with public policy approaches that acknowledge the role of socioeconomic position in shaping T2DM prevalence/incidence.

Type 2 diabetes in vulnerable populations: community healthcare providers' perspectives on health service needs and policy implications.

OBJECTIVES: To identify a) ways of enhancing health services for vulnerable populations with type 2 diabetes, taking into account the social determinants of health; and b) health and social policy approaches to reducing the incidence of type 2 diabetes and improving its management. METHODS: Focus groups were held with 18 community healthcare providers at 3 community health centres in Toronto, Ontario. RESULTS: Community healthcare providers' perspectives were organized under 3 themes: a) the compounding effects of social factors on the health of people with diabetes; b) the need for responsive support at multiple levels; and c) barriers to change. Participants showed a good understanding of the impact of social determinants of health on patients' lives, and they had many ideas about prevention/ health promotion and strategies to enhance health services. They seemed less aware of the important role that political advocacy can play. CONCLUSION: Assessment of the policy environment and political advocacy through coalition-building with communities and other health and social sector service providers should become part of healthcare professionals' education and responsibility. Adequate income and access to proper resources would help with the prevention and optimal management of diabetes.

Simulation of the cumulative effects of chemical spills using a spatial-temporal dynamics analysis algorithm.

Accidents in urban areas involving chemical spills demands development of not only feasible emergency strategies, but also a consistent framework to protect the environment and prevent accidents. This can be possible only by a sound understanding of the environmental impact of spills and their potential long-term effects. Furthermore, the impact assessment of chemical spills can not be done disregarding the spatial-temporal pattern of previous exposures reciprocally influenced by both chemical and environmental properties. In this context, this paper presents an analysis framework to quantify the cumulative effects of chemical spills at any given point of a certain area based on a "present" history of exposure coupled with chemical and environmental properties to predict possible scenarios of future exposure and estimate in advance potential alarming levels of pollution. In the present circumstances when increasing knowledge is required for an accurate prediction of spill migration through unsaturated soil, this paper proposes an algorithm capable of incorporating models of increasing complexities to simulate the single-spill events once new advancements in the field are taken. The algorithm developed is illustrated using a simple model with homogenous and steady-state conditions to simulate the single-spill events. A hypothetical case study was constructed to illustrate the analysis steps and the benefits of the algorithm.

QT & RR variability spots the earliest autonomic deregulation in diabetes. Fading of vagal sino-atrial drive but not of sympathetic ventricular responsiveness to life challenges.

27 consecutive insulin-dependent diabetic patients (pts), under 50 years, with blood glucose controlled within normal limits and no significant or multiple cardiovascular/neurological complications in the lights of clinical tests, went through a protocol as follows: laiddown at relaxed rest for 10 min, then stood-up quietly for 7 min, and finally experienced a stress-interview for 10 min while supine. A thoracic ECG lead was digitized at I ms (Codas, Dataq Instr.), RR and QT intervals were software-detected, resampled at 500 ms, and Fourier-transformed over 3 min epochs to get auto-or cross-spectra. RR-by-QT mean square coherence detached the RR-independent fraction of QT low fequency (LF) spectral power, called idioventricular QT-LF. We detected autonomic impairment of three types (discriminant score = 92.31%), presumably differentiated upon the locus of lesion, using RR's basal variance and mean RR shortening when standing as follows: (I) RR shortening > 200 ms in 10 pts; (II) normal RR shortening but no RR variance in 4 pts; (III) stiff RR around 600 ms and no RR variance in 2 pts. The above pts have been excluded from further analysis. The remaining 11 pts with no such impairments (5M and 6F, 36.4 y +/- 4.4 SD, history of 6.0 y +/- 5.2) have been compared with 11 normal subjects in an age and gender-paired control group in two steps. Step 1: Preliminary MANOVA/ANOVA showed significant effects on the ensemble of spectral variables of every single factor (status: normal or patient group; intervention; gender) with no significant factor interactions. Significant effects of intervention or status on main RR spectral variables and on a few QT spectral variables were also documented. Step 2: Non-parametric tests showed that diabetics had (mildly to moderately) shorter mean RR, while their RR-LF was always significantly lower than those found in normals--a difference propagated to QT-LF but not to idioventricular QT-LF. In the intra-group there were similar responses to interventions except stress with respect to mean RR. Consistent reduction in RR-LF under moderate or no change in mean RR suggests vagal down- regulation that, judging by idioventricular QT-LF showing, goes perhaps before a similar process with sympathetic control of ventricles. This phase delay may introduce an early arrhythmic risk worth dealing with in secondary prevention.