Exercise as a Vital Sign: A Quasi-Experimental Analysis of a Health System Intervention to Collect Patient-Reported Exercise Levels

BACKGROUND

Lack of regular physical activity is highly prevalent in U.S. adults and significantly increases mortality risk.

OBJECTIVE

To examine the clinical impact of a newly implemented program (“Exercise as a Vital Sign” [EVS]) designed to systematically ascertain patient-reported exercise levels at the beginning of each outpatient visit.

DESIGN AND PARTICIPANTS

The EVS program was implemented in four of 11 medical centers between April 2010 and October 2011 within a single health delivery system (Kaiser Permanente Northern California). We used a quasi-experimental analysis approach to compare visit-level and patient-level outcomes among practices with and without the EVS program. Our longitudinal observational cohort included over 1.5 million visits by 696,267 adults to 1,196 primary care providers.

MAIN MEASURES

Exercise documentation in physician progress notes; lifestyle-related referrals (e.g. exercise programs, nutrition and weight loss consultation); patient report of physician exercise counseling; weight change among overweight/obese patients; and HbA1c changes among patients with diabetes.

KEY RESULTS

EVS implementation was associated with greater exercise-related progress note documentation (26.2 % vs 23.7 % of visits, aOR 1.12 [95 % CI: 1.11–1.13], p?<?0.001) and referrals (2.1 % vs 1.7 %; aOR 1.14 [1.11–1.18], p?<?0.001) compared to visits without EVS. Surveyed patients (n?=?6,880) were more likely to report physician exercise counseling (88 % vs. 76 %, p?<?0.001). Overweight patients (BMI 25–29 kg/m², n?=?230,326) had greater relative weight loss (0.20 [0.12 – 0.28] lbs, p?<?0.001) and patients with diabetes and baseline HbA1c?>?7.0 % (n?=?30,487) had greater relative HbA1c decline (0.1 % [0.07 %–0.13 %], p?<?0.001) in EVS practices compared to non-EVS practices.

CONCLUSIONS

Systematically collecting exercise information during outpatient visits is associated with small but significant changes in exercise-related clinical processes and outcomes, and represents a valuable first step towards addressing the problem of inadequate physical activity.     

BMI Trajectories as a Harbinger of Pre-Diabetes or Underdiagnosed Diabetes: an 18-Year Retrospective Cohort Study in Taiwan

Background

Although prior studies have examined BMI trajectories in Western populations, little is known regarding how BMI trajectories in Asian populations vary between adults with and without diabetes.

Objective

To examine how BMI trajectories vary between those developing and not developing diabetes over 18 years in an Asian cohort.

Design

Multilevel modeling was used to depict levels and rates of change in BMI for up to 18 years for participants with and without self-reported physician-diagnosed diabetes.

Participants

We used 14,490 data points available from repeated measurements of 3776 participants aged 50+ at baseline without diabetes from a nationally representative survey of the Taiwan Longitudinal Study on Aging (TLSA1989-2007).

Main Measures

We defined development of diabetes as participants who first reported diabetes diagnoses in 2007 but had no diabetes diagnoses at baseline. We defined the reference group as those participants who reported the absence of diabetes at baseline and during the entire follow-up period.

Key Results

When adjusted for time-varying comorbidities and behavioral factors, higher level and constant increases in BMI were present more than 6.5 years before self-reported diabetes diagnosis. The higher BMI level associating with the development of diabetes was especially evident in females. Within 6.5 years prior to self-reported diagnosis, however, a wider range of decreases in BMI occurred (β_diabetes?=?1.294, P?=?0.0064; β_{diabetes*time}?=?0.150, P?=?0.0327; β_{diabetes*time} ²?=??0.008, P?=?0.0065). The faster rate of increases in BMI followed by a greater decline was especially prominent in males and individuals with BMI ≧24.

Conclusions

An unintentional decrease in BMI in sharp contrast to the gradually rising BMI preceding that time may be an alarm for undiagnosed diabetes or a precursor to developing diabetes.

     

Non-Traditional Risk Factors are Important Contributors to the Racial Disparity in Diabetes Risk: The Atherosclerosis Risk in Communities Study

BACKGROUND

Traditional risk factors, particularly obesity, do not completely explain the excess risk of diabetes among African Americans compared to whites.

OBJECTIVE

We sought to quantify the impact of recently identified, non-traditional risk factors on the racial disparity in diabetes risk.

DESIGN

Prospective cohort study.

PARTICIPANTS

We analyzed data from 2,322 African-American and 8,840 white participants without diabetes at baseline from the Atherosclerosis Risk in Communities (ARIC) Study.

MAIN MEASURES

We used Cox regression to quantify the association of incident diabetes by race over 9 years of in-person and 17 years of telephone follow-up, adjusting for traditional and non-traditional risk factors based on literature search. We calculated the mediation effect of a covariate as the percent change in the coefficient of race in multivariate models without and with the covariate of interest; 95 % confidence intervals (95 % CI) were calculated using boot-strapping.

KEY RESULTS

African American race was independently associated with incident diabetes. Body mass index (BMI), forced vital capacity (FVC), systolic blood pressure, and serum potassium had the greatest explanatory effects for the difference in diabetes risk between races, with mediation effects (95 % CI) of 22.0 % (11.7 %, 42.2 %), 21.7 %(9.5 %, 43.1 %), 17.9 % (10.2 %, 37.4 %) and 17.7 % (8.2 %, 39.4 %), respectively, during 9 years of in-person follow-up, with continued effect over 17 years of telephone follow-up.

CONCLUSIONS

Non-traditional risk factors, particularly FVC and serum potassium, are potential mediators of the association between race and diabetes risk. They should be studied further to verify their importance and to determine if they mark causal relationships that can be addressed to reduce the racial disparity in diabetes risk.     

Association of Body Mass Index, Diabetes, Hypertension, and Blood Pressure Levels with Risk of Permanent Atrial Fibrillation

BACKGROUND

After an initial episode of atrial fibrillation (AF), AF may recur and become permanent. AF progression is associated with higher morbidity and mortality. Understanding the risk factors for permanent AF could help identify people who would benefit most from interventions.

OBJECTIVE

To determine whether body mass index (BMI), diabetes, hypertension, and blood pressure levels are associated with permanent AF among people whose initial AF episode terminated.

DESIGN

Population-based inception cohort study.

PARTICIPANTS

Enrollees in Group Health, an integrated health care system, aged 30–84 with newly diagnosed AF in 2001–2004, whose initial AF terminated within 6 months and who had at least 6 months of subsequent follow-up (N?=?1,385).

MAIN MEASURES

Clinical characteristics were determined from medical records. Permanent AF was determined from medical records and ECG and administrative databases. Permanent AF was defined as AF present on two separate occasions 6–36 months apart, without any documented sinus rhythm between the two occasions. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs).

KEY RESULTS

Five-year cumulative incidence of permanent AF was 24 %. Compared with normal BMI (18.5–24.9 kg/m²), BMI levels of 25.0–29.9 (overweight), 30.0–34.9 (obese 1), 35.0–39.9 (obese 2), and ≥ 40.0 kg/m² (obese 3) were associated with HRs of permanent AF of 1.26 (95 % CI: 0.92, 1.72); 1.35 (0.96, 1.91); 1.50 (0.97, 2.33); and 1.79 (1.13, 2.84), adjusted for age, sex, diabetes, hypertension, blood pressure, coronary heart disease, valvular heart disease, heart failure, and prior stroke. Diabetes, hypertension, and blood pressure were not associated with permanent AF.

CONCLUSIONS

For people whose initial AF episode terminates, benefits of having lower BMI may include a lower risk of permanent AF. Risk of permanent AF was similar for people with and without diabetes or hypertension and across blood pressure levels.     

Mortality trends in patients with and without diabetes in Ontario, Canada and the UK from 1996 to 2009: a population-based study

Aims/hypothesis

The aim of this study was to determine the contemporary rate ratio of mortality and changes over time in individuals with vs without diabetes.

Methods

Annual age- and sex-adjusted mortality rates were compared for adults (>20 years) with and without diabetes in Ontario, Canada, and the UK from January 1996 to December 2009 using The Health Improvement Network (THIN) and Ontario databases. The total number of individuals evaluated increased from 8,757,772 in 1996 to 12,696,305 in 2009.

Results

The excess risk of mortality for individuals with diabetes in both cohorts was significantly lower during later vs earlier years of the follow-up period (1996–2009). In Ontario the diabetes mortality rate ratio decreased from 1.90 (95% CI 1.86, 1.94) in 1996 to 1.51 (1.48, 1.54) in 2009, and in THIN from 2.14 (1.97, 2.32) to 1.65 (1.57, 1.72), respectively. In Ontario and THIN, the mortality rate ratios among diabetic patients in 2009 were 1.67 (1.61, 1.72) and 1.81 (1.68, 1.94) for those aged 65–74 years and 1.11 (1.10, 1.13) and 1.19 (1.14, 1.24) for those aged over 74 years, respectively. Corresponding rate ratios in Ontario and THIN were 2.45 (2.36, 2.54) and 2.64 (2.39, 2.89) for individuals aged 45–64 years, and 4.89 (4.35, 5.45) and 5.18 (3.73, 6.69) for those aged 20–44 years.

Conclusions/interpretation

The excess risk of mortality in individuals with vs without diabetes has decreased over time in both Canada and the UK. This may be in part due to earlier detection and higher prevalence of early diabetes, as well as to improvements in diabetes care.     

Differential impact of longitudinal medication non-adherence on mortality by race/ethnicity among veterans with diabetes

OBJECTIVE

To examine the differential effect of medication non-adherence over time on all-cause mortality by race/ethnicity.

RESEARCH DESIGN AND METHODS

Data on a longitudinal cohort of veterans with type 2 diabetes was examined. The main outcome was time to death. Primary independent variables were race/ethnicity and mean medication possession ratio (MPR) categorized into quintiles over the study period. Cox regression was used to model the association between time to death and MPR quintiles and race/ethnicity, adjusting for relevant covariates.

RESULTS

The cohort of 629,563 veterans was followed for 5 years. After adjusting for all covariates, the hazard ratios (HR) for subjects in the lowest versus highest MPR quintile was 12.21 (95 % CI 11.89, 12.55) for non-Hispanic white (NHW), 10.01 (95 % CI 9.18, 10.91) for non-Hispanic black (NHB), 12.65 (95 % CI 11.10, 14.43) for Hispanic and 10.41 (95 % CI 9.06, 11.96) for Other race veterans. Furthermore, type of diabetes therapy (oral versus insulin) maintained a significant relationship with mortality that varied by racial/ethnic group.

CONCLUSIONS

This study demonstrates the differential impact of medication non-adherence on mortality by race. It also demonstrates that type of diabetes therapy (insulin with or without oral agents) is associated with mortality and varies by racial/ethnic group.     

Mortality after cancer among patients with diabetes mellitus: effect of diabetes duration and treatment

Aims/hypothesis

The prognostic role of different diabetes treatment types has not been studied in detail. We compared mortality rates among cancer patients with and without diabetes, accounting for diabetes treatment and diabetes duration.

Methods

This register-based study included all cancer patients diagnosed in Denmark during 1995–2009. The patients were classified into four groups according to diabetes status at the time of cancer diagnosis: no diabetes, diabetes without medication, diabetes with only oral hypoglycaemic agent (OHA) or diabetes with insulin treatment. Poisson models were used to examine the association between pre-existing diabetes in cancer patients and mortality relative to the non-diabetic cancer population.

Results

Among 426,129 patients with incident cancer, we identified 42,205 patients with diabetes prior to cancer diagnosis. Overall, cancer patients with diabetes had higher mortality rates than non-diabetic cancer patients, highest among OHA- or insulin-treated patients. For all cancers combined and diabetes duration of 2 years at cancer diagnosis, insulin-treated patients experienced the highest mortality rate ratios starting from 3.7 (95% CI 2.7, 5.1) for men and 4.4 (3.1, 6.5) for women 1 year after cancer diagnosis, increasing to 5 (3.5, 7.0) for men and 6.5 (4.2, 9.3) for women 9 years after cancer diagnosis.

Conclusions/interpretation

Our study provides strong evidence that cancer patients with pre-existing diabetes experience higher mortality than cancer patients without diabetes. The higher mortality seen among cancer patients treated with OHAs or insulin is in accordance with the existing evidence that more intensive diabetes treatment reflects a larger degree of comorbidity at the time of cancer diagnosis, and hence poorer survival.     

Laparoscopic adjustable gastric banding and progression from impaired fasting glucose to diabetes

Aims/hypothesis

Obesity and dysglycaemia are major risk factors for type 2 diabetes. We determined if obese people undergoing laparoscopic adjustable gastric banding (LAGB) had a reduced risk of progressing from impaired fasting glucose (IFG) to diabetes.

Methods

This was a retrospective cohort study of obese people with IFG who underwent LAGB. Weight and diabetes outcomes after a minimum follow-up period of 4 years (mean ± SD 6.1?±?1.7 years) were compared with those of Australian adults with IFG from a population-based study (AusDiab).

Results

We identified 281 LAGB patients with baseline IFG. Their mean ± SD age and BMI were 46?±?9 years and 46?±?9 kg/m², respectively. The diabetes incidence for patients in the lowest, middle and highest weight loss tertile were 19.1, 3.4 and 1.8 cases/1,000 person-years, respectively. The AusDiab cohort had a lower BMI (28?±?5 kg/m²) and a diabetes incidence of 12.5 cases/1,000 person-years. This increased to 20.5 cases/1,000 person-years when analysis was restricted to the 322 obese AusDiab participants, which was higher than the overall rate of 8.2 cases/1,000 person-years seen in the LAGB group (p?=?0.02). Multivariable analysis of the combined LAGB and AusDiab data suggested that LAGB was associated with ～75% lower risk of diabetes (OR 0.24 [95% CI 0.10, 0.57], p?=?0.004).

Conclusions/interpretation

In obese people with IFG, weight loss after LAGB is associated with a substantially reduced risk of progressing to diabetes over ≥4 years. Bariatric surgery may be an effective diabetes prevention strategy in this population.     

Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study

Aims/hypothesis

A diet rich in meat has been reported to contribute to the risk of type 2 diabetes. The present study aims to investigate the association between meat consumption and incident type 2 diabetes in the EPIC-InterAct study, a large prospective case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

Methods

During 11.7 years of follow-up, 12,403 incident cases of type 2 diabetes were identified among 340,234 adults from eight European countries. A centre-stratified random subsample of 16,835 individuals was selected in order to perform a case-cohort design. Prentice-weighted Cox regression analyses were used to estimate HR and 95% CI for incident diabetes according to meat consumption.

Results

Overall, multivariate analyses showed significant positive associations with incident type 2 diabetes for increasing consumption of total meat (50 g increments: HR 1.08; 95% CI 1.05, 1.12), red meat (HR 1.08; 95% CI 1.03, 1.13) and processed meat (HR 1.12; 95% CI 1.05, 1.19), and a borderline positive association with meat iron intake. Effect modifications by sex and class of BMI were observed. In men, the results of the overall analyses were confirmed. In women, the association with total and red meat persisted, although attenuated, while an association with poultry consumption also emerged (HR 1.20; 95% CI 1.07, 1.34). These associations were not evident among obese participants.

Conclusions/interpretation

This prospective study confirms a positive association between high consumption of total and red meat and incident type 2 diabetes in a large cohort of European adults.     

Nonlinear association of BMI with all-cause and cardiovascular mortality in type 2 diabetes mellitus: a systematic review and meta-analysis of 414,587 participants in prospective studies

Aims/hypothesis

The relationship between BMI and mortality has been extensively investigated in the general population; however, it is less clear in people with type 2 diabetes. We aimed to assess the association of BMI with all-cause and cardiovascular mortality in individuals with type 2 diabetes mellitus.

Methods

We searched electronic databases up to 1 March 2016 for prospective studies reporting associations for three or more BMI groups with all-cause and cardiovascular mortality in individuals with type 2 diabetes mellitus. Study-specific associations between BMI and the most-adjusted RR were estimated using restricted cubic splines and a generalised least squares method before pooling study estimates with a multivariate random-effects meta-analysis.

Results

We included 21 studies including 24 cohorts, 414,587 participants, 61,889 all-cause and 4470 cardiovascular incident deaths; follow-up ranged from 2.7 to 15.9 years. There was a strong nonlinear relationship between BMI and all-cause mortality in both men and women, with the lowest estimated risk from 31–35 kg/m² and 28–31 kg/m² (p value for nonlinearity <0.001) respectively. The risk of mortality at higher BMI values increased significantly only in women, whilst lower values were associated with higher mortality in both sexes. Limited data for cardiovascular mortality were available, with a possible inverse linear association with BMI (higher risk for BMI <27 kg/m²).

Conclusions/interpretation

In type 2 diabetes, BMI is nonlinearly associated with all-cause mortality with lowest risk in the overweight group in both men and women. Further research is needed to clarify the relationship with cardiovascular mortality and assess causality and sex differences.

     

Glucose patterns during an oral glucose tolerance test and associations with future diabetes,cardiovascular disease and all-cause mortality rate

Aims/hypothesis

In addition to blood glucose concentrations measured in the fasting state and 2 h after an OGTT, intermediate measures during an OGTT may provide additional information regarding a person’s risk of future diabetes and cardiovascular disease (CVD). First, we aimed to characterise heterogeneity of glycaemic patterns based on three time points during an OGTT. Second, we compared the incidences of diabetes and CVD and all-cause mortality rates among those with different patterns.

Methods

Our cohort study included 5861 participants without diabetes at baseline from the Danish Inter99 study. At baseline, all participants underwent an OGTT with measurements of plasma glucose levels at 0, 30 and 120 min. Latent class mixed-effects models were fitted to identify distinct patterns of glycaemic response during the OGTT. Information regarding incident diabetes, CVD and all-cause mortality rates during a median follow-up time of 11, 12 and 13 years, respectively, was extracted from national registers. Cox proportional hazard models with adjustment for several cardiometabolic risk factors were used to compare the risk of diabetes, CVD and all-cause mortality among individuals in the different latent classes.

Results

Four distinct glucose patterns during the OGTT were identified. One pattern was characterised by high 30 min but low 2 h glucose values. Participants with this pattern had an increased risk of developing diabetes compared with participants with lower 30 min and 2 h glucose levels (HR 4.1 [95% CI 2.2, 7.6]) and participants with higher 2 h but lower 30 min glucose levels (HR 1.5 [95% CI 1.0, 2.2]). Furthermore, the all-cause mortality rate differed between the groups with significantly higher rates in the two groups with elevated 30 min glucose. Only small non-significant differences in risk of future CVD were observed across latent classes after confounder adjustment.

Conclusions/interpretation

Elevated 30 min glucose is associated with increased risk of diabetes and all-cause mortality rate independent of fasting and 2 h glucose levels. Therefore, subgroups at high risk may not be revealed when considering only fasting and 2 h glucose levels during an OGTT.

     

Real-life glycaemic profiles in non-diabetic individuals with low fasting glucose and normal HbA1c: the A1C-Derived Average Glucose (ADAG) study

Aims/hypothesis

Real-life glycaemic profiles of healthy individuals are poorly studied. Our aim was to analyse to what extent individuals without diabetes exceed OGTT thresholds for impaired glucose tolerance (IGT) and diabetes.

Methods

In the A1C-Derived Average Glucose (ADAG) study, 80 participants without diabetes completed an intensive glucose monitoring period of 12 weeks. From these data, we calculated the average 24 h glucose exposure as time spent above different plasma glucose thresholds. We also derived indices of postprandial glucose levels, glucose variability and HbA_1c.

Results

We found that 93% of participants reached glucose concentrations above the IGT threshold of 7.8 mmol/l and spent a median of 26 min/day above this level during continuous glucose monitoring. Eight individuals (10%) spent more than 2 h in the IGT range. They had higher HbA_1c, fasting plasma glucose (FPG), age and BMI than those who did not. Seven participants (9%) reached glucose concentrations above 11.1 mmol/l during monitoring.

Conclusions/interpretation

Even though the non-diabetic individuals monitored in the ADAG study were selected on the basis of a very low level of baseline FPG, 10% of these spent a considerable amount of time at glucose levels considered to be ‘prediabetic’ or indicating IGT. This highlights the fact that exposure to moderately elevated glucose levels remains under-appreciated when individuals are classified on the basis of isolated glucose measurements.     

Weight Loss Success in Metabolic Syndrome by Telephone Interventions: Results from the SHINE Study

BACKGROUND

The Diabetes Prevention Program (DPP) intensive lifestyle intervention resulted in significant weight loss, reducing the development of diabetes, but needs to be adapted to primary care provider (PCP) practices.

OBJECTIVES

To compare a DPP-translation using individual (IC) vs. conference (CC) calls delivered by PCP staff for the outcome of percent weight loss over 2 years.

DESIGN

Randomized clinical trial.

SETTING

Five PCP sites.

PARTICIPANTS

Obese patients with metabolic syndrome, without diabetes (IC, n?=?129; CC, n?=?128).

INTERVENTION

Telephone delivery of the DPP Lifestyle Balance intervention [16-session core curriculum in year 1, 12-session continued telephone contact in year 2 plus telephone coaching sessions (dietitians).

MAIN MEASURES

Weight (kg), body mass index (BMI), and waist circumference.

KEY RESULTS

Baseline data: age?=?52 years, BMI?=?39 kg/m², 75 % female, 85 % non-Hispanic White, 13 % non-Hispanic Black, and 48 % annual incomes <$40,000/year. In the intention-to-treat analyses at year 2, mean percent weight loss was ?5.6 % (CC, p?<?0.001) and ?1.8 % (IC, p?=?0.046) and was greater for CC than for IC (p?=?0.016). At year 2, mean weight loss was 6.2 kg (CC) and 2.2 kg (IC) (p?<?0.001). There was similar weight loss at year 1, but between year 1 and year 2 CC participants continued to lose while IC participants regained. At year 2, 52 % and 43 % (CC) and 29 % and 22 % (IC) of participants lost at least 5 % and 7 % of initial weight. BMI also decreased more for CC than IC (?2.1 kg/m² vs. ?0.8 kg/m² p?<?0.001). Waist circumference decreased by 3.1 cm (CC) and 2.4 cm (IC) at year 2. Completers (≥9 of 16 sessions; mean 13.3 sessions) lost significantly more weight than non-completers (mean 4.3 sessions).

CONCLUSIONS

PCP staff delivery of the DPP lifestyle intervention by telephone can be effective in achieving weight loss in obese people with metabolic syndrome. Greater weight loss may be attained with a group telephone intervention.     

Diabetes, prediabetes and cancer mortality

Aims/hypothesis

We aimed to investigate the risk of cancer mortality in relation to the glucose tolerance status classified according to the 2 h OGTT.

Methods

Data from 17 European population-based or occupational cohorts involved in the DECODE study comprising 26,460 men and 18,195 women aged 25–90 years were collaboratively analysed. The cohorts were recruited between 1966 and 2004 and followed for 5.9 to 36.8 years. Cox proportional hazards analysis with adjustment for cohort, age, BMI, total cholesterol, blood pressure and smoking status was used to estimate HRs for cancer mortality.

Results

Compared with people in the normal glucose category, multivariable adjusted HRs (95% CI) for cancer mortality were 1.13 (1.00, 1.28), 1.27 (1.02, 1.57) and 1.71 (1.35, 2.17) in men with prediabetes, previously undiagnosed diabetes and known diabetes, respectively; in women they were 1.11 (0.94, 1.30), 1.31 (1.00, 1.70) and 1.43 (1.01, 2.02), respectively. Significant increases in deaths from cancer of the stomach, colon–rectum and liver in men with prediabetes and diabetes, and deaths from cancers of the liver and pancreas in women with diabetes were also observed. In individuals without known diabetes, the HR (95% CI) for cancer mortality corresponding to a one standard deviation increase in fasting plasma glucose was 1.06 (1.02, 1.09) and in 2 h plasma glucose was 1.07 (1.03, 1.11).

Conclusions/interpretation

Diabetes and prediabetes were associated with an increased risk of cancer death, particularly death from liver cancer. Mortality from all cancers rose linearly with increasing glucose concentrations.     

Consumption of sweet beverages and type 2 diabetes incidence in European adults: results from EPIC-InterAct

Aims/hypothesis

Consumption of sugar-sweetened beverages has been shown, largely in American populations, to increase type 2 diabetes incidence. We aimed to evaluate the association of consumption of sweet beverages (juices and nectars, sugar-sweetened soft drinks and artificially sweetened soft drinks) with type 2 diabetes incidence in European adults.

Methods

We established a case–cohort study including 12,403 incident type 2 diabetes cases and a stratified subcohort of 16,154 participants selected from eight European cohorts participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. After exclusions, the final sample size included 11,684 incident cases and a subcohort of 15,374 participants. Cox proportional hazards regression models (modified for the case–cohort design) and random-effects meta-analyses were used to estimate the association between sweet beverage consumption (obtained from validated dietary questionnaires) and type 2 diabetes incidence.

Results

In adjusted models, one 336 g (12 oz) daily increment in sugar-sweetened and artificially sweetened soft drink consumption was associated with HRs for type 2 diabetes of 1.22 (95% CI 1.09, 1.38) and 1.52 (95% CI 1.26, 1.83), respectively. After further adjustment for energy intake and BMI, the association of sugar-sweetened soft drinks with type 2 diabetes persisted (HR 1.18, 95% CI 1.06, 1.32), but the association of artificially sweetened soft drinks became statistically not significant (HR 1.11, 95% CI 0.95, 1.31). Juice and nectar consumption was not associated with type 2 diabetes incidence.

Conclusions/interpretation

This study corroborates the association between increased incidence of type 2 diabetes and high consumption of sugar-sweetened soft drinks in European adults.     

Walking Cadence and Mortality Among Community-Dwelling Older Adults

BACKGROUND

Older adults are encouraged to walk ≥100 steps?minute^?1 for moderate-intensity physical activity (i.e., brisk walking). It is unknown if the ability to walk ≥100 steps?minute^?1 predicts mortality.

OBJECTIVE

To determine if the ability to walk ≥100 steps?minute^?1 predicts mortality among older adults.

DESIGN, SETTING, AND PATIENTS

A population-based cohort study among 5,000 older adults from the Third National Health and Nutrition Survey (NHANES III; 1988–1994). Vital status and cause of death were collected through December 31, 2006. Median follow-up was 13.4 years. Average participant age was 70.6 years.

MEASUREMENTS

Walking cadence (steps?minute^?1) was calculated using a timed 2.4-m walk. Walking cadence was dichotomized at 100 steps?minute^?1 (≥100 steps?minute^?1 versus <100 steps?minute^?1) to demarcate the lower threshold of absolutely defined moderate-intensity physical activity. Walking cadence was also analyzed as a continuous variable. Predicted survival was compared between walking cadence and gait speed. The primary outcome was all-cause mortality. Secondary outcomes included cardiovascular-specific and cancer-specific mortality and mortality from other causes.

RESULTS

Among 5,000 participants, 3,039 (61 %) walked ≥100 steps?minute^?1. During follow-up, 3,171 subjects died. In multivariable-adjusted analysis, ability to walk ≥100 steps?minute^?1 predicted a 21 % reduction in all-cause mortality (hazard ratio [HR], 0.79; 95 % confidence interval [95 % CI], 0.71–0.89, p?p??1 predicted reductions in cardiovascular-specific mortality (HR, 0.79 [0.67–0.92], p?=?0.002), cancer-specific mortality (HR, 0.76 [0.58–0.99], p?=?0.050), and mortality from other causes (HR, 0.82 [0.68–0.97], p?=?0.025). Predicted survival, adjusted for age and sex, was not different using walking cadence versus gait speed.

LIMITATIONS

Walking cadence was a cross-sectional measurement.

CONCLUSIONS

The ability to walk ≥100 steps?minute^?1 predicts a reduction in mortality among a sample of community-dwelling older adults.     

Lifestyle factors and mortality risk in individuals with diabetes mellitus: are the associations different from those in individuals without diabetes?

Aims/hypothesis

Thus far, it is unclear whether lifestyle recommendations for people with diabetes should be different from those for the general public. We investigated whether the associations between lifestyle factors and mortality risk differ between individuals with and without diabetes.

Methods

Within the European Prospective Investigation into Cancer and Nutrition (EPIC), a cohort was formed of 6,384 persons with diabetes and 258,911 EPIC participants without known diabetes. Joint Cox proportional hazard regression models of people with and without diabetes were built for the following lifestyle factors in relation to overall mortality risk: BMI, waist/height ratio, 26 food groups, alcohol consumption, leisure-time physical activity, smoking. Likelihood ratio tests for heterogeneity assessed statistical differences in regression coefficients.

Results

Multivariable adjusted mortality risk among individuals with diabetes compared with those without was increased, with an HR of 1.62 (95% CI 1.51, 1.75). Intake of fruit, legumes, nuts, seeds, pasta, poultry and vegetable oil was related to a lower mortality risk, and intake of butter and margarine was related to an increased mortality risk. These associations were significantly different in magnitude from those in diabetes-free individuals, but directions were similar. No differences between people with and without diabetes were detected for the other lifestyle factors.

Conclusions/interpretation

Diabetes status did not substantially influence the associations between lifestyle and mortality risk. People with diabetes may benefit more from a healthy diet, but the directions of association were similar. Thus, our study suggests that lifestyle advice with respect to mortality for patients with diabetes should not differ from recommendations for the general population.     

Association of African genetic ancestry with fasting glucose and HbA1c levels in non-diabetic individuals: the Boston Area Community Health (BACH) Prediabetes Study

Aims/hypothesis

To test among diabetes-free urban community-dwelling adults the hypothesis that the proportion of African genetic ancestry is positively associated with glycaemia, after accounting for other continental ancestry proportions, BMI and socioeconomic status (SES).

Methods

The Boston Area Community Health cohort is a multi-stage 1:1:1 stratified random sample of self-identified African-American, Hispanic and white adults from three Boston inner city areas. We measured 62 ancestry informative markers, fasting glucose (FG), HbA_1c, BMI and SES (income, education, occupation and insurance status) and analysed 1,387 eligible individuals (379 African-American, 411 Hispanic, 597 white) without clinical or biochemical evidence of diabetes. We used three-heritage multinomial linear regression models to test the association of FG or HbA_1c with genetic ancestry proportion adjusted for: (1) age and sex; (2) age, sex and BMI; and (3) age, sex, BMI and SES.

Results

Mean age- and sex-adjusted FG levels were 5.73 and 5.54 mmol/l among those with 100% African or European ancestry, respectively. Using per cent European ancestry as the referent, each 1% increase in African ancestry proportion was associated with an age- and sex-adjusted FG increase of 0.0019 mmol/l (p?=?0.01). In the BMI- and SES-adjusted model the slope was 0.0019 (p?=?0.02). Analysis of HbA_1c gave similar results.

Conclusions/interpretation

A greater proportion of African genetic ancestry is independently associated with higher FG levels in a non-diabetic community-based cohort, even accounting for other ancestry proportions, obesity and SES. The results suggest that differences between African-Americans and whites in type 2 diabetes risk may include genetically mediated differences in glucose homeostasis.     

Family Diabetes Matters: A View from the Other Side

BACKGROUND

Typically, chronic disease self-management happens in a family context, and for African American adults living with diabetes, family seems to matter in self-management processes. Many qualitative studies describe family diabetes interactions from the perspective of adults living with diabetes, but we have not heard from family members.

OBJECTIVE

To explore patient and family perspectives on family interactions around diabetes.

DESIGN

Qualitative study using focus group methodology.

PARTICIPANTS & APPROACH

We conducted eight audiotaped focus groups among African Americans (four with patients with diabetes and four with family members not diagnosed with diabetes), with a focus on topics of family communication, conflict, and support. The digital files were transcribed verbatim, coded, and analyzed using qualitative data analysis software. Directed content analysis and grounded theory approaches guided the interpretation of code summaries.

RESULTS

Focus groups included 67 participants (81 % female, mean age 64 years). Family members primarily included spouses, siblings, and adult children/grandchildren. For patients with diabetes, central issues included shifting family roles to accommodate diabetes and conflicts stemming from family advice-giving. Family members described discomfort with the perceived need to police or “stand over” the diabetic family member, not wanting to “throw diabetes in their [relative’s] face,” perceiving their communications as unhelpful, and confusion about their role in diabetes care. These concepts generated an emergent theme of “family diabetes silence.”

CONCLUSION

Diabetes silence, role adjustments, and conflict appear to be important aspects to address in family-centered diabetes self-management interventions. Contextual data gathered through formative research can inform such family-centered intervention development.