Globalization of Diabetes
Open accessAbstract
Type 2 diabetes is a global public health crisis that threatens the economies of all nations, particularly developing countries. Fueled by rapid urbanization, nutrition transition, and increasingly sedentary lifestyles, the epidemic has grown in parallel with the worldwide rise in obesity. Asia's large population and rapid economic development have made it an epicenter of the epidemic. Asian populations tend to develop diabetes at younger ages and lower BMI levels than Caucasians. Several factors contribute to accelerated diabetes epidemic in Asians, including the “normal-weight metabolically obese” phenotype; high prevalence of smoking and heavy alcohol use; high intake of refined carbohydrates (e.g., white rice); and dramatically decreased physical activity levels. Poor nutrition in utero and in early life combined with overnutrition in later life may also play a role in Asia's diabetes epidemic. Recent advances in genome-wide association studies have contributed substantially to our understanding of diabetes pathophysiology, but currently identified genetic loci are insufficient to explain ethnic differences in diabetes risk. Nonetheless, interactions between Westernized diet and lifestyle and genetic background may accelerate the growth of diabetes in the context of rapid nutrition transition. Epidemiologic studies and randomized clinical trials show that type 2 diabetes is largely preventable through diet and lifestyle modifications. Translating these findings into practice, however, requires fundamental changes in public policies, the food and built environments, and health systems. To curb the escalating diabetes epidemic, primary prevention through promotion of a healthy diet and lifestyle should be a global public policy priority.
AI snapshot
Written from the paper’s full text.
TL;DR
This review argues that type 2 diabetes has become a global epidemic driven by urbanization, nutrition transition, and sedentary lifestyles, with Asia now the epicenter because Asian populations develop diabetes at younger ages and lower BMI levels than Caucasians. It concludes that most cases are preventable through diet and lifestyle change, but that this requires public policy shifts in food, built, and social environments.
Key findings
- Global burden: diabetes affects at least 285 million people worldwide, projected to reach 438 million by 2030, with two-thirds of cases in low- to middle-income countries; impaired glucose tolerance is expected to rise from 344 million (2010) to 472 million (2030). Diabetes accounted for 12% of health expenditures in 2010 (~$376 billion), projected at $490 billion by 2030.
- Asia accounts for 60% of the world's diabetic population; Chinese adult diabetes prevalence rose from <1% in 1980 to nearly 10% by 2008 (>92 million diabetic, 148 million prediabetic), while urban south India reached nearly 20%.
- Diet: a 2 serving/day increment in whole-grain intake was associated with 21% lower diabetes risk; highest SSB intake (1–2 servings/day) carried a 26% greater risk (RR 1.26 [95% CI 1.12–1.41]); white rice intake in the Shanghai Women's Health Study showed RR 1.78 (95% CI 1.48–2.15) comparing extreme quintiles.
- Lifestyle: in the NHS, women in a low-risk group (BMI <25, healthy diet, ≥30 min/day activity, no smoking, ≥half-serving alcohol/day) had RR 0.09 (95% CI 0.05–0.17), with 91% of cases (95% CI 83–95%) attributable to the five factors; trials reduced incidence by 31–58% (Daqing 31/46/42% for diet/exercise/combined; Finnish DPS and U.S. DPP 58%; IDPP 28.5% lifestyle).
Methods
Narrative review synthesizing global burden data (International Diabetes Federation estimates), population-based cross-sectional surveys (e.g., Chinese National Nutrition Survey, Shanghai Women's Health Study), prospective cohorts (Nurses' Health Study, NHS II, Health Professionals' Follow-up Study), meta-analyses, genome-wide association studies, and randomized prevention trials (Daqing, Finnish DPS, U.S. DPP, IDPP). Includes a reduced rank regression analysis in a nested case-control sample of 656 diabetes cases and 694 controls, and a gene–diet interaction analysis using a 10-SNP genetic risk score.
Limitations
The paper is a review and states no formal limitations of its own. Evident from the text: much of the mechanistic and gene–environment evidence comes from a small number of cohorts (largely NHS and U.S. male health professionals), limiting generalizability to Asian and other populations; the author notes that identified genetic loci are insufficient to explain ethnic differences or the rapid rise in prevalence and have limited clinical predictive utility; the thrifty genotype hypothesis is described as lacking identified genes and receiving little support from preliminary analyses, and famine-exposure findings are inconsistent across cohorts (Dutch Famine vs. Leningrad Siege).
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 37 cited sources checked · 0 supported · 0 flagged
- Findingcitation
Individuals in the highest quantile of sugar-sweetened beverage intake (most often 1-2 servings/day) had a 26% greater risk of developing type 2 diabetes than those in the lowest (RR 1.26 [95% CI 1.12-1.41]).
“Our recent meta-analysis (13) found that individuals in the highest quantile of SSB intake (most often 1–2 servings/day) had a 26% greater risk of developing the disease than those in the lowest (relative risk [RR] 1.26 [95% CI 1.12–1.41]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Malik, 2010, Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis, Diabetes Care source
Not checked in the free run.
- Findingcitation
In Asian populations, increased risk of diabetes starts at a lower BMI than in Europeans.
“In Asian populations, increased risk of diabetes starts at a lower BMI than in Europeans (9).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Yoon, 2006, Epidemic obesity and type 2 diabetes in Asia, Lancet source
Not checked in the free run.
- Findingcitation
High intake of foods with a high glycemic index or glycemic load, especially white rice, is associated with increased risk of diabetes (RR comparing highest to lowest quintile of white rice intake: 1.78 [95% CI 1.48-2.15]).
“Findings from the Shanghai Women's Health Study (SWHS) indicate that high intake of foods with a high GI or GL, especially white rice, is associated with increased risk of diabetes (RR comparing highest to lowest quintile of white rice intake: 1.78 [95% CI 1.48–2.15]) (22).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Villegas, 2007, Prospective study of dietary carbohydrates, glycemic index, glycemic load, and incidence of type 2 diabetes mellitus in middle-aged Chinese women, Arch Intern Med source
Not checked in the free run.
- Findingcitation
In the Nurses' Health Study, the quality of fats and carbohydrates plays an important role in the development of diabetes, independent of BMI and other risk factors.
“In the Nurses’ Health Study (NHS), we found that the quality of fats and carbohydrates play an important role in the development of diabetes, independent of BMI and other risk factors (11).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Hu, 2001, Diet, lifestyle, and the risk of type 2 diabetes mellitus in women, N Engl J Med source
Not checked in the free run.
- Findingcitation
A meta-analysis of 370,000 individuals with 12 years of follow-up showed a U-shaped relationship, with a 30-40% reduced risk of diabetes among those consuming 1-2 drinks/day compared with heavy drinkers or abstainers.
“A meta-analysis of 370,000 individuals with 12 years of follow-up showed a U-shaped relationship, with a 30–40% reduced risk of the disease among those consuming 1–2 drinks/day compared with heavy drinkers or abstainers (37).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Koppes, 2005, Moderate alcohol consumption lowers the risk of type 2 diabetes: a meta-analysis of prospective observational studies, Diabetes Care source
Not checked in the free run.
- Findingown data
Intake of processed meat, red meat, and heme iron showed significant interactions with genetic risk score in relation to diabetes risk (P for interaction = 0.029, 0.02, and 0.0004, respectively).
“In addition, intake of processed meat, red meat, and heme iron, which characterize the Western dietary pattern, showed significant interactions with GRS in relation to diabetes risk (P for interaction = 0.029, 0.02, and 0.0004, respectively).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Qi, 2009, Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men, Am J Clin Nutr source
Not checked in the free run.
- Rests on an assumption: The Western dietary pattern derived from principal component analysis of 40 food groups adequately represents the dietary exposure relevant to type 2 diabetes risk.
- Rests on an assumption: The genetic risk score based on 10 established single nucleotide polymorphisms adequately captures genetic susceptibility to type 2 diabetes.
- Findingown data
Among those with a lower genetic risk score, the Western dietary pattern was not associated with diabetes risk.
“Among those with a lower GRS, the Western dietary pattern was not associated with diabetes risk.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Qi, 2009, Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men, Am J Clin Nutr source
Not checked in the free run.
- Rests on an assumption: The Western dietary pattern derived from principal component analysis of 40 food groups adequately represents the dietary exposure relevant to type 2 diabetes risk.
- Rests on an assumption: The genetic risk score based on 10 established single nucleotide polymorphisms adequately captures genetic susceptibility to type 2 diabetes.
- Findingcitation
In the Health Professionals' Follow-up Study, there was a significant interaction between a Western dietary pattern derived from principal component analysis of 40 food groups and a genetic risk score of type 2 diabetes susceptibility based on 10 established single nucleotide polymorphisms (P = 0.02).
“In the Health Professionals’ Follow-up Study, we found a significant interaction between a Western dietary pattern derived from principle component analysis of 40 food groups and a genetic risk score (GRS) of type 2 diabetes susceptibility based on 10 established single nucleotide polymorphisms (P = 0.02) (Fig. 4) (45).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Qi, 2009, Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men, Am J Clin Nutr source
Not checked in the free run.
- Rests on an assumption: The Western dietary pattern derived from principal component analysis of 40 food groups adequately represents the dietary exposure relevant to type 2 diabetes risk.
- Rests on an assumption: The genetic risk score based on 10 established single nucleotide polymorphisms adequately captures genetic susceptibility to type 2 diabetes.
- Findingown data
Among men with a higher genetic risk score (≥12 risk alleles), the multivariable ORs of diabetes across increasing quartiles of the Western dietary pattern were 1.00, 1.23 (95% CI 0.88-1.73), 1.49 (1.06-2.09), and 2.06 (1.48-2.88), with P for trend = 0.01.
“The multivariable ORs of diabetes across increasing quartiles of the Western dietary pattern were 1.00, 1.23 (95% CI 0.88–1.73), 1.49 (1.06, 2.09), and 2.06 (1.48, 2.88) among men with a higher GRS (≥12 risk alleles, P for trend = 0.01).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Qi, 2009, Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men, Am J Clin Nutr source
Not checked in the free run.
- Rests on an assumption: The Western dietary pattern derived from principal component analysis of 40 food groups adequately represents the dietary exposure relevant to type 2 diabetes risk.
- Rests on an assumption: The genetic risk score based on 10 established single nucleotide polymorphisms adequately captures genetic susceptibility to type 2 diabetes.
- Findingown data
In the Chinese National Nutrition and Health Survey, the prevalence of hyperglycemia was highest (18.9%) in fetal-exposed subjects who consumed an affluent/Western diet during adulthood.
“We found that the prevalence of hyperglycemia was highest (18.9%) in fetal-exposed subjects who consumed an affluent/Western diet during adulthood.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57] Li, 2010, Exposure to the Chinese famine in early life and the risk of hyperglycemia and type 2 diabetes in adulthood, Diabetes source
Not checked in the free run.
- Rests on an assumption: The Chinese National Nutrition and Health Survey data accurately classify famine exposure and hyperglycemia.
- Findingcitation
In the Nurses' Health Study, each 2-h/day increment of time spent watching television was associated with a 14% increase in diabetes risk.
“In the NHS (26), each 2-h/day increment of time spent watching television (TV) was associated with a 14% increase in diabetes risk.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Hu, 2003, Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women, JAMA source
Not checked in the free run.
- Findingcitation
After adjustment for BMI and other potential lifestyle confounders, the RRs comparing extreme quintiles of the proinflammatory dietary pattern were 2.56 (95% CI 2.10-3.12) in the NHS and 2.93 (95% CI 2.18-3.92) in the NHS II.
“After adjustment for BMI and other potential lifestyle confounders, the RRs comparing extreme quintiles of the “proinflammatory dietary pattern” were 2.56 (95% CI 2.10–3.12, P for trend <0.001) in the NHS and 2.93 (95% CI 2.18–3.92, P for trend <0.001) in the NHS II.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Schulze, 2005, Dietary pattern, inflammation, and incidence of type 2 diabetes in women, Am J Clin Nutr source
Not checked in the free run.
- Findingcitation
Each 1-h/day increment of brisk walking was associated with a 34% reduction in diabetes risk.
“Each 1-h/day increment of brisk walking was associated with a 34% reduction in risk (Fig. 3).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Hu, 2003, Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women, JAMA source
Not checked in the free run.
- Findingcitation
Current smokers had a 45% increased risk of developing diabetes compared with nonsmokers.
“A meta-analysis found that current smokers had a 45% increased risk of developing diabetes compared with nonsmokers (29).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Willi, 2007, Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis, JAMA source
Not checked in the free run.
- Findingown data
A total of 91% of the cases of diabetes (95% CI 83-95%) could be attributed to the five factors listed above.
“A total of 91% of the cases of diabetes (95% CI 83–95%) could be attributed to the five factors listed above.”
Quote in the paperSubstantial claim- Rests on an assumption: The five low-risk variables (BMI, diet, physical activity, smoking, alcohol) are causally related to diabetes risk and their combined effect can be estimated from observational data.
- Findingown data
In the NHS, compared with the rest of the cohort, women in the low-risk group (3.4%) had an RR of diabetes of 0.09 (95% CI 0.05-0.17).
“Compared with the rest of the cohort, women in the low-risk group (3.4%) had an RR of diabetes of 0.09 (95% CI 0.05–0.17).”
Quote in the paperSubstantial claim- Rests on an assumption: The five low-risk variables (BMI, diet, physical activity, smoking, alcohol) are causally related to diabetes risk and their combined effect can be estimated from observational data.
- Findingcitation
Each 2-h/day increment of standing or walking around at home was associated with a 12% reduction in diabetes risk.
“Each 2-h/day increment of standing or walking around at home was associated with a 12% reduction in risk.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Hu, 2003, Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women, JAMA source
Not checked in the free run.
- Premisecitation
Epidemiologic studies and randomized clinical trials show that type 2 diabetes is largely preventable through diet and lifestyle modifications.
“Epidemiologic studies and randomized clinical trials show that type 2 diabetes is largely preventable through diet and lifestyle modifications.”
Quote in the paperNot a substantial claim - Interpretationnone given
High prevalence of smoking and heavy alcohol use contributes to the accelerated diabetes epidemic in Asians.
“Several factors contribute to accelerated diabetes epidemic in Asians, including the “normal-weight metabolically obese” phenotype; high prevalence of smoking and heavy alcohol use; high intake of refined carbohydrates (e.g., white rice); and dramatically decreased physical activity levels.”
Quote in the paperSubstantial claim - Interpretationreasoning
China has overtaken India as the global epicenter of the diabetes epidemic.
“These numbers suggest that China has overtaken India as the global epicenter of the diabetes epidemic.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Asia's large population and rapid economic development have made it an epicenter of the diabetes epidemic.
“Asia's large population and rapid economic development have made it an epicenter of the epidemic.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The normal-weight metabolically obese phenotype contributes to the accelerated diabetes epidemic in Asians.
“Several factors contribute to accelerated diabetes epidemic in Asians, including the “normal-weight metabolically obese” phenotype; high prevalence of smoking and heavy alcohol use; high intake of refined carbohydrates (e.g., white rice); and dramatically decreased physical activity levels.”
Quote in the paperSubstantial claim - Interpretationnone given
Dramatically decreased physical activity levels contribute to the accelerated diabetes epidemic in Asians.
“Several factors contribute to accelerated diabetes epidemic in Asians, including the “normal-weight metabolically obese” phenotype; high prevalence of smoking and heavy alcohol use; high intake of refined carbohydrates (e.g., white rice); and dramatically decreased physical activity levels.”
Quote in the paperSubstantial claim - Interpretationnone given
Interactions between Westernized diet and lifestyle and genetic background may accelerate the growth of diabetes in the context of rapid nutrition transition.
“Nonetheless, interactions between Westernized diet and lifestyle and genetic background may accelerate the growth of diabetes in the context of rapid nutrition transition.”
Quote in the paperNot a substantial claim - Premisenone given
Overweight and obesity are driving the global diabetes epidemic.
“Overweight and obesity are driving the global diabetes epidemic.”
Quote in the paperSubstantial claim - Interpretationnone given
Poor nutrition in utero and in early life combined with overnutrition in later life may play a role in Asia's diabetes epidemic.
“Poor nutrition in utero and in early life combined with overnutrition in later life may also play a role in Asia's diabetes epidemic.”
Quote in the paperNot a substantial claim - Interpretationnone given
High intake of refined carbohydrates (e.g., white rice) contributes to the accelerated diabetes epidemic in Asians.
“Several factors contribute to accelerated diabetes epidemic in Asians, including the “normal-weight metabolically obese” phenotype; high prevalence of smoking and heavy alcohol use; high intake of refined carbohydrates (e.g., white rice); and dramatically decreased physical activity levels.”
Quote in the paperSubstantial claim - Interpretationcitation
These analyses provide little support for the thrifty gene hypothesis.
“These analyses, albeit preliminary, provide little support for the thrifty gene hypothesis.”
Quote in the paperSubstantial claim - Premisecitation
After 6 years of active intervention in the Daqing study, risk was reduced by 31, 46, and 42% in the diet-only, exercise-only, and diet-plus-exercise groups, respectively, compared with the control group.
“After 6 years of active intervention, risk was reduced by 31, 46, and 42% in the diet-only, exercise-only, and diet-plus-exercise groups, respectively, compared with the control group.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [58] Pan, 1997, Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study, Diabetes Care source
Not checked in the free run.
- Premisecitation
The association between famine exposure and increased insulin resistance was not observed in the Leningrad Siege Study.
“However, this association was not observed in another famine cohort study, the Leningrad Siege Study (55).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Stanner, 1997, Does malnutrition in utero determine diabetes and coronary heart disease in adulthood? Results from the Leningrad siege study, a cross sectional study, BMJ source
Not checked in the free run.
- Premisecitation
In both the Finnish Diabetes Prevention Study and the U.S. Diabetes Prevention Program, lifestyle intervention significantly reduced diabetes incidence by 58%.
“In both the Finnish Diabetes Prevention Study (60) and the U.S. Diabetes Prevention Program (DPP) (61), lifestyle intervention significantly reduced diabetes incidence by 58%.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [60] Tuomilehto, 2001, Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance, N Engl J Med source
Not checked in the free run.
- cites [61] Knowler, 2002, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin, N Engl J Med source
Not checked in the free run.
- Interpretationreasoning
Because many Asian adults who experienced undernutrition in early life are now adapting Westernized diets and lifestyles, their risk of developing diabetes and other metabolic diseases is substantially elevated.
“Because many Asian adults who experienced undernutrition in early life are now adapting Westernized diets and lifestyles, their risk of developing diabetes and other metabolic diseases is substantially elevated.”
Quote in the paperNot a substantial claim - Premisereasoning
Type 2 diabetes is a product of the interplay between genetic and environmental factors.
“Like other multifactorial diseases, type 2 diabetes is a product of the interplay between genetic and environmental factors.”
Quote in the paperSubstantial claim - Interpretationcitation
These effects may be mediated by the regulation of gene expression through chromatin modification or DNA methylation (epigenetics) because of intrauterine or early childhood exposures rather than changes in genotypes.
“These effects may be meditated by the regulation of gene expression through chromatin modification or DNA methylation (epigenetics) because of intrauterine or early childhood exposures rather than changes in genotypes (53).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Burdge, 2010, Nutrition, epigenetics, and developmental plasticity: implications for understanding human disease, Annu Rev Nutr source
Not checked in the free run.
- Premisecitation
A follow-up of the Finnish Diabetes Prevention Study showed a 43% reduction in diabetes risk over a median of 7 years after discontinuation of active counseling.
“A follow-up of the Finnish Diabetes Prevention Study showed a 43% reduction in diabetes risk over a median of 7 years after discontinuation of active counseling (62).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [62] Lindström, 2006, Eriksson JG, Hemiö K, et al. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study, Lancet source
Not checked in the free run.
- Premisecitation
Adults exposed to famine conditions during World War II in the Dutch Famine Study had increased insulin resistance than those who had not been exposed.
“Results from the Dutch Famine Study show that adults exposed to famine conditions during World War II had increased insulin resistance than those who had not been exposed (54).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [54] Ravelli, 1998, Glucose tolerance in adults after prenatal exposure to famine, Lancet source
Not checked in the free run.
- Premisecitation
Low birth weight is consistently associated with increased risk of type 2 diabetes.
“Indirect support for this hypothesis comes from studies showing consistent associations between low birth weight (LBW) and increased risk of type 2 diabetes.”
Quote in the paperSubstantial claim - Premisecitation
Cigarette smoking is an independent risk factor for type 2 diabetes.
“Cigarette smoking is an independent risk factor for type 2 diabetes.”
Quote in the paperSubstantial claim - Interpretationown data
The majority of cases of type 2 diabetes could be prevented by a healthier lifestyle.
“These data provide strong epidemiologic evidence that the majority of cases of type 2 diabetes could be prevented by a healthier lifestyle.”
- Also stated in: § CONCLUSIONS · boosted
“Accumulating evidence strongly demonstrates that the majority of type 2 diabetes cases can be prevented through diet and lifestyle modification.”
Quote in the paperSubstantial claim- Rests on an assumption: The five low-risk variables (BMI, diet, physical activity, smoking, alcohol) are causally related to diabetes risk and their combined effect can be estimated from observational data.
- Also stated in: § CONCLUSIONS · boosted
- Premisecitation
Light-to-moderate alcohol consumption is associated with reduced risk of diabetes.
“Light-to-moderate alcohol consumption is associated with reduced risk of diabetes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Together, these clinical trials demonstrate that diet and lifestyle modification is highly effective in preventing type 2 diabetes in different ethnic and racial groups.
“Together, these clinical trials demonstrate that diet and lifestyle modification is highly effective in preventing type 2 diabetes in different ethnic and racial groups.”
Quote in the paperSubstantial claim - Interpretationreasoning
Given the same dietary and lifestyle factors, some individuals may be more prone to type 2 diabetes than others because of different genetic backgrounds.
“On the other hand, given the same dietary and lifestyle factors, some individuals may be more prone to type 2 diabetes than others because of different genetic backgrounds.”
Quote in the paperSubstantial claim - Interpretationreasoning
In predicting future risk of diabetes, the clinical utility of cumulative genetic risk scores appears to be limited in either high- or low-risk populations.
“In predicting future risk of diabetes, the clinical utility of these cumulative genetic risk scores appears to be limited in either high- or low-risk populations.”
- Also stated in: § CONCLUSIONS · plain
“Clinical utility of these loci in predicting future risk of diabetes is also limited.”
Quote in the paperSubstantial claim- Rests on an assumption: The currently identified genetic susceptibility loci are representative of overall genetic susceptibility to type 2 diabetes.
- Also stated in: § CONCLUSIONS · plain
- Interpretationnone given
The diabetes epidemic is primarily driven by rapid urbanization, nutrition transition, and increasingly sedentary lifestyles.
“This epidemic is primarily driven by rapid urbanization, nutrition transition, and increasingly sedentary lifestyles.”
Quote in the paperNot a substantial claim - Premisecitation
Typically, each risk allele increment is associated with a 10-20% increased risk of type 2 diabetes.
“Typically, each risk allele increment is associated with a 10–20% increased risk of type 2 diabetes (41,42).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [41] Ng, 2008, Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians, Diabetes source
Not checked in the free run.
- cites [42] Wu, 2008, Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population, Diabetes source
Not checked in the free run.
- Interpretationreasoning
Low birth weight promotes a thrifty phenotype during intrauterine and early life that induces an insulin resistant state and low β-cell function.
“LBW promotes a thrifty phenotype during intrauterine and early life that induces an insulin resistant state and low β-cell function.”
Quote in the paperSubstantial claim - Interpretationown data
The association between fetal famine exposure and adult hyperglycemia is exacerbated by a nutritionally "rich" environment in later life.
“and that this association is exacerbated by a nutritionally “rich” environment in later life.”
Quote in the paperSubstantial claim- Rests on an assumption: The Chinese National Nutrition and Health Survey data accurately classify famine exposure and hyperglycemia.
- Interpretationreasoning
The identified genetic loci do not appear to explain ethnic differences in diabetes risk.
“and that these loci do not appear to explain ethnic differences in diabetes risk.”
Quote in the paperSubstantial claim- Rests on an assumption: The currently identified genetic susceptibility loci are representative of overall genetic susceptibility to type 2 diabetes.
- Premisecitation
Despite heterogeneity across populations in risk allele frequency or effect size in type 2 diabetes genes, the combined effects of multiple genetic variants using genetic scores based on the number of risk alleles appear to be similar across different ethnic groups.
“Despite heterogeneity across populations in risk allele frequency or effect size in type 2 diabetes genes, the combined effects of multiple genetic variants using genetic scores based on the number of risk alleles appear to be similar across different ethnic groups.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [41] Ng, 2008, Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians, Diabetes source
Not checked in the free run.
- cites [42] Wu, 2008, Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population, Diabetes source
Not checked in the free run.
- Interpretationown data
Exposure to severe famine in fetal life increases the risk of hyperglycemia in adulthood.
“These findings indicate that exposure to severe famine in fetal life increases the risk of hyperglycemia in adulthood”
Quote in the paperSubstantial claim- Rests on an assumption: The Chinese National Nutrition and Health Survey data accurately classify famine exposure and hyperglycemia.
- Interpretationown data
The genetic factors that underlie individual susceptibility are likely amplified in the presence of certain environmental triggers.
“It is likely that the genetic factors that underlie individual susceptibility are amplified in the presence of certain environmental triggers.”
Quote in the paperSubstantial claim - Interpretationown data
The detrimental effects of a Westernized diet may be enhanced by greater genetic susceptibility.
“These results suggest that the detrimental effects of a Westernized diet may be enhanced by greater genetic susceptibility.”
Quote in the paperSubstantial claim- Rests on an assumption: The Western dietary pattern derived from principal component analysis of 40 food groups adequately represents the dietary exposure relevant to type 2 diabetes risk.
- Rests on an assumption: The genetic risk score based on 10 established single nucleotide polymorphisms adequately captures genetic susceptibility to type 2 diabetes.
- Interpretationnone given
Poor nutrition in utero and in early life plus overnutrition in later life may also contribute to the current diabetes epidemic in Asian populations.
“Poor nutrition in utero and in early life plus overnutrition in later life may also contribute to the current diabetes epidemic in Asian populations.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The overall contribution of the identified genetic loci to type 2 diabetes is similar between Caucasians and other ethnic groups.
“These data suggest that the overall contribution of the identified genetic loci to type 2 diabetes is similar between Caucasians and other ethnic groups”
Quote in the paperSubstantial claim- Rests on an assumption: The currently identified genetic susceptibility loci are representative of overall genetic susceptibility to type 2 diabetes.
- Premisecitation
Increasing evidence indicates that low-grade systemic inflammation is an underlying factor in the pathogenesis of type 2 diabetes.
“Increasing evidence indicates that low-grade systemic inflammation is an underlying factor in the pathogenesis of type 2 diabetes (39).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Schulze, 2005, Dietary pattern, inflammation, and incidence of type 2 diabetes in women, Am J Clin Nutr source
Not checked in the free run.
- May combine two claims. 17
- Classified as probably not a substantial claim. 5
May combine two claims.
FindingcitationHigher dietary glycemic load and trans fat are associated with increased diabetes risk, whereas greater consumption of cereal fiber and polyunsaturated fat is associated with decreased risk.
“In particular, higher dietary glycemic load (GL) and trans fat are associated with increased diabetes risk, whereas greater consumption of cereal fiber and polyunsaturated fat is associated with decreased risk (Fig. 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Hu, 2001, Diet, lifestyle, and the risk of type 2 diabetes mellitus in women, N Engl J Med source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenAsia accounts for 60% of the world's diabetic population.
“Asia accounts for 60% of the world's diabetic population.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationIn 1980, less than 1% of Chinese adults had diabetes; by 2008, prevalence reached nearly 10%.
“In 1980, less than 1% of Chinese adults had the disease. By 2008, the prevalence had reached nearly 10% (Fig. 1) (4).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Yang, 2010, Prevalence of diabetes among men and women in China, N Engl J Med source
Not checked in the free run.
May combine two claims.
FindingcitationAsian populations tend to develop diabetes at younger ages and lower BMI levels than Caucasians.
“Asian populations tend to develop diabetes at younger ages and lower BMI levels than Caucasians.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Chan, 2009, Diabetes in Asia: epidemiology, risk factors, and pathophysiology, JAMA source
Not checked in the free run.
May combine two claims.
FindingcitationCompared with Western populations, Asians develop diabetes at younger ages, at lower degrees of obesity, and at much higher rates given the same amount of weight gain.
“Compared with Western populations, Asians develop diabetes at younger ages, at lower degrees of obesity, and at much higher rates given the same amount of weight gain (3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Chan, 2009, Diabetes in Asia: epidemiology, risk factors, and pathophysiology, JAMA source
Not checked in the free run.
May combine two claims.
Findingown dataCompared with the relatively nonexposed cohort, the ORs of hyperglycemia in the fetal-exposed cohort were 7.63 (95% CI 2.41-24.1, P = 0.0005) for those who had an affluent/Western dietary pattern, and 2.34 (95% CI 0.82-6.70, P = 0.112) for those with a traditional dietary pattern.
“Compared with the relatively nonexposed cohort, the ORs of hyperglycemia in the fetal-exposed cohort were 7.63 (95% CI 2.41–24.1, P = 0.0005) for those who had an affluent/Western dietary pattern, and 2.34 (95% CI 0.82–6.70, P = 0.112) for those with a traditional dietary pattern.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57] Li, 2010, Exposure to the Chinese famine in early life and the risk of hyperglycemia and type 2 diabetes in adulthood, Diabetes source
Not checked in the free run.
- Rests on an assumption: The Chinese National Nutrition and Health Survey data accurately classify famine exposure and hyperglycemia.
May combine two claims.
FindingcitationIn the Nurses' Health Study, higher consumption of white rice is associated with increased risk of diabetes, whereas consumption of brown rice protects against the disease.
“Despite relatively low consumption of rice in the U.S. population, in the NHS, we found that higher consumption of white rice is associated with increased risk of diabetes, whereas consumption of brown rice, a whole grain, protects against the disease (23).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Sun, 2010, White rice, brown rice, and risk of type 2 diabetes in US men and women, Arch Intern Med source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenType 2 diabetes is a global public health crisis that threatens the economies of all nations, particularly developing countries.
“Type 2 diabetes is a global public health crisis that threatens the economies of all nations, particularly developing countries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenCurrently identified genetic loci are insufficient to explain ethnic differences in diabetes risk.
“but currently identified genetic loci are insufficient to explain ethnic differences in diabetes risk.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThe currently identified genetic susceptibility loci are insufficient to explain differences in diabetes risk across different ethnic groups or the rapid rise in diabetes prevalence over the past several decades.
“but the currently identified genetic susceptibility loci are insufficient to explain differences in diabetes risk across different ethnic groups or the rapid rise in diabetes prevalence over the past several decades.”
Quote in the paperNot a substantial claim- Rests on an assumption: The currently identified genetic susceptibility loci are representative of overall genetic susceptibility to type 2 diabetes.
May combine two claims.
PremisecitationNumerous epidemiologic studies show that increased physical activity reduces risk of diabetes, whereas sedentary behaviors increase risk.
“Numerous epidemiologic studies show that increased physical activity reduces risk of diabetes, whereas sedentary behaviors increase risk.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationBased on an analysis of 17 type 2 diabetes loci and 13 obesity loci, there is no clear evidence for overrepresentation of derived alleles for obesity or diabetes loci or greater concentration of these loci in a particular ethnic group.
“Based on an analysis of 17 type 2 diabetes loci and 13 obesity loci, Southam et al. (48) found no clear evidence for overrepresentation of derived alleles (vs. ancestral alleles) for the obesity or diabetes loci or greater concentration of these loci in a particular ethnic group.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Southam, 2009, Is the thrifty genotype hypothesis supported by evidence based on confirmed type 2 diabetes- and obesity-susceptibility variants?, Diabetologia source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenMost single nucleotide polymorphisms uncovered may not be the actual causal variants, and pinpointing causal variants requires fine-mapping, sequencing, and functional studies.
“It should be noted that most of the single nucleotide polymorphisms uncovered may not be the actual causal variants, which need to be pinpointed through fine-mapping, sequencing, and functional studies.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationBoth fetal undernutrition (low birth weight) and overnutrition (the baby of a diabetic mother) are associated with increased future risk of diabetes.
“Both fetal undernutrition (LBW) and overnutrition (the baby of a diabetic mother) are associated with increased future risk of diabetes (52).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Yajnik, 2009, Nutrient-mediated teratogenesis and fuel-mediated teratogenesis: two pathways of intrauterine programming of diabetes, Int J Gynaecol Obstet source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe adoption of a healthy diet and lifestyle requires not only individual behavioral changes, but also changes in food, built, and social environments.
“However, the adoption of a healthy diet and lifestyle requires not only individual behavioral changes, but also changes in our food, built, and social environments.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese data provide strong epidemiologic evidence linking overall dietary patterns, inflammation, and diabetes risk, suggesting that chronic inflammation may mediate the association between a Western dietary pattern and risk of type 2 diabetes.
“These data provide strong epidemiologic evidence linking overall dietary patterns, inflammation, and diabetes risk, suggesting that chronic inflammation may mediate the association between a Western dietary pattern and risk of type 2 diabetes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn a subsequent 14-year follow-up of the Daqing study, the combined lifestyle intervention group had a 51% lower risk of diabetes during the active intervention period, and a 43% lower risk over a 20-year follow-up, compared with control subjects.
“Compared with control subjects, individuals in the combined lifestyle intervention group had a 51% lower risk of diabetes during the active intervention period, and a 43% lower risk over a 20-year follow-up.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] Li, 2008, The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: a 20-year follow-up study, Lancet source
Not checked in the free run.
May combine two claims.
PremisecitationIn the Indian Diabetes Prevention Program, after 3 years of follow-up, the RR reduction was 28.5% with lifestyle management, 26.4% with metformin, and 28.2% with the combined interventions compared with the control group.
“In the Indian Diabetes Prevention Program (IDPP) (63), after 3 years of follow-up, the RR reduction was 28.5% with lifestyle management, 26.4% with metformin, and 28.2% with the combined interventions compared with the control group.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] Ramachandran, 2006, The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1), Diabetologia source
Not checked in the free run.
May combine two claims.
Premisenone givenAt least 40 genetic loci have been convincingly associated with type 2 diabetes, but these loci confer only a modest effect size and do not add to the clinical prediction of diabetes beyond traditional risk factors.
“To date, at least 40 genetic loci have been convincingly associated with type 2 diabetes, but these loci confer only a modest effect size and do not add to the clinical prediction of diabetes beyond traditional risk factors, such as obesity, physical inactivity, unhealthy diet, and family history of diabetes.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningMost diabetes susceptibility loci that have been identified are related to impaired β-cell function, whereas only a few are associated with insulin resistance or fasting insulin, which points toward β-cell dysfunction as a primary defect for diabetes pathogenesis.
“It is intriguing that most diabetes susceptibility loci that have been identified are related to impaired β-cell function, whereas only a few (e.g., peroxisome proliferator–activated receptor-γ, insulin receptor substrate 1, IGF-1, and GCKR) are associated with insulin resistance or fasting insulin, which points toward β-cell dysfunction as a primary defect for diabetes pathogenesis.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The Western dietary pattern derived from principal component analysis of 40 food groups adequately represents the dietary exposure relevant to type 2 diabetes risk.
“a Western dietary pattern derived from principle component analysis of 40 food groups”
“intake of processed meat, red meat, and heme iron, which characterize the Western dietary pattern”
The paper relies on this without support.
The genetic risk score based on 10 established single nucleotide polymorphisms adequately captures genetic susceptibility to type 2 diabetes.
“a genetic risk score (GRS) of type 2 diabetes susceptibility based on 10 established single nucleotide polymorphisms”
The paper relies on this without support.
The five low-risk variables (BMI, diet, physical activity, smoking, alcohol) are causally related to diabetes risk and their combined effect can be estimated from observational data.
“we defined a low-risk group according to five variables: 1) BMI <25; 2) a diet high in cereal fiber and polyunsaturated fat and low in trans fat and GL; 3) moderate-to-vigorous physical activity for at least half an hour/day; 4) no current smoking; and 5) an average intake of at least a half-serving of an alcoholic beverage/day.”
The paper relies on this without support.
The Chinese National Nutrition and Health Survey data accurately classify famine exposure and hyperglycemia.
“we examined the association between famine exposure in fetal life and adult hyperglycemia in the Chinese National Nutrition and Health Survey (57).”
The paper relies on this without support.
The currently identified genetic susceptibility loci are representative of overall genetic susceptibility to type 2 diabetes.
“the currently identified genetic susceptibility loci”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A high prevalence of smoking and heavy alcohol use have been associated with diabetes.
“Lastly, a high prevalence of smoking and heavy alcohol use have been associated with diabetes [5].”
From The relationship of sugar to population-level diabetes prevalence: an econometric analysis of repeated cross-sectional data (2013) · cites this paper as [5]
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · see citing works
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · see citing works
Pan, X.-R., Li, G.-W., Hu, Y.-H., Wang, J.-X., Yang, W.-Y., An, Z.-X., Hu, Z.-X., Juan-Lin, Xiao, J.-Z., Cao, H.-B., et al. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.537 · Cited by 4,320 · see citing works
Global burden of obesity in 2005 and projections to 2030
Kelly, T., Yang, W., Chen, C.-S., Reynolds, K., & He, J. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.102 · Cited by 3,319 · see citing works
Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?
Neel, J. V. (1962) · Europe PMC (PubMed Central) · Cited by 3,147 · see citing works
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031 · see citing works
Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.
Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G., Liu, S., Solomon, C. G., & Willett, W. C. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010492 · Cited by 2,901 · see citing works
Self-citationThe thrifty phenotype hypothesis
Hales, C. N., & Barker, D. J. (2001) · British Medical Bulletin · doi:10.1093/bmb/60.1.5 · Cited by 2,749 · see citing works
Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?
(1962) · PubMed Central · Cited by 2,182 · see citing works
Sugar-Sweetened Beverages and Risk of Metabolic Syndrome and Type 2 Diabetes
Malik, V. S., Popkin, B. M., Bray, G. A., Després, J.-P., Willett, W. C., & Hu, F. B. (2010) · Diabetes Care · doi:10.2337/dc10-1079 · Cited by 2,116 · see citing works
Self-citationDiabetes in Asia: Epidemiology, Risk Factors, and Pathophysiology
Chan, J. C. N., Malik, V., Jia, W., Kadowaki, T., Yajnik, C. S., Yoon, K.-H., & Hu, F. B. (2009) · JAMA · doi:10.1001/jama.2009.726 · Cited by 1,997 · see citing works
Self-citationHu, F. B., Li, T. Y., Colditz, G. A., Willett, W. C., & Manson, J. E. (2003) · JAMA · doi:10.1001/jama.289.14.1785 · Cited by 1,892 · see citing works
Self-citationRamachandran, A., Snehalatha, C., Mary, S., Mukesh, B., Bhaskar, A. D., Vijay, V., & Indian Diabetes Prevention Programme (IDPP) (2006) · Diabetologia · doi:10.1007/s00125-005-0097-z · Cited by 1,881 · see citing works
The Finnish Diabetes Prevention Study (DPS)
Lindström, J., Louheranta, A., Mannelin, M., Rastas, M., Salminen, V., Eriksson, J., Uusitupa, M., Tuomilehto, J., & for the Finnish Diabetes Prevention Study Group (2003) · Diabetes Care · doi:10.2337/diacare.26.12.3230 · Cited by 1,848 · see citing works
Lindström, J., Ilanne-Parikka, P., Peltonen, M., Aunola, S., Eriksson, J. G., Hemiö, K., Hämäläinen, H., Härkönen, P., Keinänen-Kiukaanniemi, S., Laakso, M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69701-8 · Cited by 1,799 · see citing works
Stanhope, K. L., Schwarz, J. M., Keim, N. L., Griffen, S. C., Bremer, A. A., Graham, J. L., Hatcher, B., Cox, C. L., Dyachenko, A., Zhang, W., et al. (2009) · Journal of Clinical Investigation · doi:10.1172/jci37385 · Cited by 1,765 · see citing works
Glucose tolerance in adults after prenatal exposure to famine
Ravelli, A., van der Meulen, J., Michels, R., Osmond, C., Barker, D., Hales, C., & Bleker, O. (1998) · The Lancet · doi:10.1016/s0140-6736(97)07244-9 · Cited by 1,606 · see citing works
Li, G., Zhang, P., Wang, J., Gregg, E. W., Yang, W., Gong, Q., Li, H., Li, H., Jiang, Y., An, Y., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60766-7 · Cited by 1,600 · see citing works
Epidemic obesity and type 2 diabetes in Asia
Yoon, K.-H., Lee, J.-H., Kim, J.-W., Cho, J. H., Choi, Y.-H., Ko, S.-H., Zimmet, P., & Son, H.-Y. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69703-1 · Cited by 1,580 · see citing works
Optimal Diets for Prevention of Coronary Heart Disease
Hu, F. B. (2002) · JAMA · doi:10.1001/jama.288.20.2569 · Cited by 1,503 · see citing works
Self-citationThe Nutrition Transition and Obesity in the Developing World
Popkin, B. M. (2001) · Journal of Nutrition · doi:10.1093/jn/131.3.871s · Cited by 1,462 · see citing works
Active Smoking and the Risk of Type 2 Diabetes: A Systematic Review and Meta-analysis
Willi, C., Bodenmann, P., Ghali, W. A., Faris, P. D., & Cornuz, J. (2007) · JAMA · doi:10.1001/jama.298.22.2654 · Cited by 1,268 · see citing works
Global healthcare expenditure on diabetes for 2010 and 2030
Zhang, P., Zhang, X., Brown, J., Vistisen, D., Sicree, R., Shaw, J., & Nichols, G. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.01.026 · Cited by 1,145 · see citing works
Genomics, type 2 diabetes, and obesity
McCarthy, M. I. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0906948 · Cited by 938 · see citing works
Wang, Y., Mi, J., Shan, X.-Y., Wang, Q. J., & Ge, K.-Y. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803354 · Cited by 778 · see citing works
Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus
Yasuda, K., Miyake, K., Horikawa, Y., Hara, K., Osawa, H., Furuta, H., Hirota, Y., Mori, H., Jonsson, A., Sato, Y., et al. (2008) · Nature Genetics · doi:10.1038/ng.207 · Cited by 776 · see citing works
de Munter, J. S. L., Hu, F. B., Spiegelman, D., Franz, M., & van Dam, R. M. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040261 · Cited by 734 · see citing works
Self-citationUnoki, H., Takahashi, A., Kawaguchi, T., Hara, K., Horikoshi, M., Andersen, G., Ng, D. P. K., Holmkvist, J., Borch-Johnsen, K., Jørgensen, T., et al. (2008) · Nature Genetics · doi:10.1038/ng.208 · Cited by 725 · see citing works
Moderate Alcohol Consumption Lowers the Risk of Type 2 Diabetes
Koppes, L. L. J., Dekker, J. M., Hendriks, H. F. J., Bouter, L. M., & Heine, R. J. (2005) · Diabetes Care · doi:10.2337/diacare.28.3.719 · Cited by 671 · see citing works
Lear, S. A., Humphries, K., Kohli, S., Chockalingam, A., Frohlich, J. J., & Birmingham, C. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/86.2.353 · Cited by 614 · see citing works
Lopez-Garcia, E., Schulze, M. B., Meigs, J. B., Manson, J. E., Rifai, N., Stampfer, M. J., Willett, W. C., & Hu, F. B. (2005) · The Journal of Nutrition · doi:10.1093/jn/135.3.562 · Cited by 600 · see citing works
Self-citationStanner, S. A., Bulmer, K., Andrès, C., Lantseva, O. E., Borodina, V, Poteen, V. V., & Yudkin, J. S. (1997) · BMJ · doi:10.1136/bmj.315.7119.1342 · Cited by 545 · see citing works
Popkin, B. M., Horton, S., Kim, S., Mahal, A. S., & Shuigao, J. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.2001.tb06967.x · Cited by 466 · see citing works
Dietary pattern, inflammation, and incidence of type 2 diabetes in women
Schulze, M. B., Hoffmann, K., Manson, J. E., Willett, W. C., Meigs, J. B., Weikert, C., Heidemann, C., Colditz, G. A., & Hu, F. B. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.82.3.675 · Cited by 462 · see citing works
Self-citationWhite rice, brown rice, and risk of type 2 diabetes in US men and women
Sun, Q. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.109 · Cited by 459 · see citing works
Dietary pattern, inflammation, and incidence of type 2 diabetes in women
Schulze, M. B., Hoffmann, K., Manson, J. E., Willett, W. C., Meigs, J. B., Weikert, C., Heidemann, C., Colditz, G. A., & Hu, F. B. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.3.675 · Cited by 457 · see citing works
Self-citationCerasi, E., Dieterlé, P., Ege, H., Englhardt, A., Frerichs, H., Gepts, W., Hasselblatt, A., Henrichs, H. R., Herberg, L., Hoet, J., et al. (1975) · Springer eBooks · doi:10.1007/978-3-642-66033-7 · Cited by 456 · see citing works
Dietary intake of trans fatty acids and systemic inflammation in women
Mozaffarian, D., Pischon, T., Hankinson, S. E., Rifai, N., JOSHIPURA, K. J., Willett, W. C., & Rimm, E. B. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.4.606 · Cited by 444 · see citing works
Shetty, P. S. (2002) · Public Health Nutrition · doi:10.1079/phn2001291 · Cited by 434 · see citing works
Villegas, R., Liu, S., Gao, Y.-T., Yang, G., Li, H., Zheng, W., & Shu, X. O. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.21.2310 · Cited by 431 · see citing works
Studies in the Distribution of Body Fat
Shimokata, H. (1989) · JAMA · doi:10.1001/jama.261.8.1169 · Cited by 425 · see citing works
Towards a new developmental synthesis: adaptive developmental plasticity and human disease
Gluckman, P. D., Hanson, M. A., Bateson, P., Beedle, A. S., Law, C., Bhutta, Z. A., Anokhin, K. V., Bougneres, P. F., Chandak, G. R., Dasgupta, P. S., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60234-8 · Cited by 400 · see citing works
Li, Y., He, Y., Qi, L., Jaddoe, V. W., Feskens, E. J. M., Yang, X., Ma, G., & Hu, F. B. (2010) · Diabetes · doi:10.2337/db10-0385 · Cited by 384 · see citing works
Self-citationNg, S. W., Norton, E. C., & Popkin, B. M. (2009) · Social Science & Medicine · doi:10.1016/j.socscimed.2009.01.035 · Cited by 372 · see citing works
Nutrition, epigenetics, and developmental plasticity: implications for understanding human disease
Burdge, G. C., & Lillycrop, K. A. (2010) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.012809.104751 · Cited by 372 · see citing works
The Road to Obesity or the Path to Prevention: Motorized Transportation and Obesity in China
Bell, A. C., Ge, K., & Popkin, B. M. (2002) · Obesity Research · doi:10.1038/oby.2002.38 · Cited by 371 · see citing works
Ng, M. C. Y., Park, K. S., Oh, B., Tam, C. H. T., Cho, Y. M., Shin, H. D., Lam, V. K. L., Ma, R. C. W., So, W. Y., Cho, Y. S., et al. (2008) · Diabetes · doi:10.2337/db07-1583 · Cited by 362 · see citing works
Speakman, J. R. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.161 · Cited by 361 · see citing works
High Prevalence of Diabetes and Cardiovascular Risk Factors Associated With Urbanization in India
Ramachandran, A., Simon, M., Yamuna, A., Murugesan, N., & Snehalatha, C. (2008) · Diabetes Care · doi:10.2337/dc07-1207 · Cited by 361 · see citing works
Studies in the Distribution of Body Fat: III. Effects of Cigarette Smoking
Shimokata, H. (1989) · JAMA · doi:10.1001/jama.1989.03420080089037 · Cited by 293
Nutrition in transition: The changing global nutrition challenge
Popkin, B. M. (2001) · Asia Pacific Journal of Clinical Nutrition · doi:10.1046/j.1440-6047.2001.0100s1s13.x · Cited by 289 · see citing works
Wu, Y., Li, H., Loos, R. J. F., Yu, Z., Ye, X., Chen, L., Pan, A., Hu, F. B., & Lin, X. (2008) · Diabetes · doi:10.2337/db08-0047 · Cited by 240 · see citing works
Self-citationCigarette Smoking and Increased Central Adiposity
Barrett-Connor, E., & Khaw, K. (1989) · Annals of Internal Medicine · doi:10.7326/0003-4819-111-10-783 · Cited by 203 · see citing works
Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men
Qi, L., Cornelis, M. C., Zhang, C., van Dam, R. M., & Hu, F. B. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.27249 · Cited by 161 · see citing works
Self-citationFructose consumption: recent results and their potential implications
Stanhope, K. L., & Havel, P. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05266.x · Cited by 148 · see citing works
Nutrition in transition: The changing global nutrition challenge
Popkin, B. M. (2001) · Asia Pacific Journal of Clinical Nutrition · doi:10.1046/j.1440-6047.2001.00211.x · Cited by 130 · see citing works
Southam, L., Soranzo, N., Montgomery, S. B., Frayling, T. M., McCarthy, M. I., Barroso, I., & Zeggini, E. (2009) · Diabetologia · doi:10.1007/s00125-009-1419-3 · Cited by 103 · see citing works
Bruin, J. E., Petre, M. A., Raha, S., Morrison, K. M., Gerstein, H. C., & Holloway, A. C. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003371 · Cited by 84 · see citing works
Yajnik, C. S. (2009) · International Journal of Gynecology & Obstetrics · doi:10.1016/j.ijgo.2008.11.034 · Cited by 82 · see citing works
China's Agricultural Crisis and Famine of 1959–1961: A Survey and Comparison to Soviet Famines
Yang, D. T. (2008) · Comparative Economic Studies · doi:10.1057/ces.2008.4 · Cited by 69 · see citing works
Ding, E. L., & Malik, V. S. (2008) · Globalization and Health · doi:10.1186/1744-8603-4-4 · Cited by 61 · cited 1× · see citing works
“The adverse effects of high dietary GI and GL are more evident in overweight or obese individuals who are prone to insulin resistance (24).”
Finding A Policy Solution To India’s Diabetes Epidemic
Siegel, K. R., Narayan, K. M. V., & Kinra, S. (2008) · Health Affairs · doi:10.1377/hlthaff.27.4.1077 · Cited by 51 · see citing works
Cigarette Smoking and the Adrenergic Nervous System
Grassi, G. M., Seravalle, G., Calhoun, D. A., Bolla, G. B., & Mancia, G. (1992) · Clinical and Experimental Hypertension · doi:10.3109/10641969209036186 · Cited by 46 · see citing works
Nicotine and cotinine effects on 3 alpha hydroxysteroid dehydrogenase in canine prostate
Meikle, A. W., Liu, X. H., Taylor, G. N., & Stringham, J. D. (1988) · Life Sciences · doi:10.1016/s0024-3205(88)80001-8 · Cited by 45 · see citing works
Concurrent alcohol and tobacco use among a middle-aged and elderly population in Mumbai.
Gupta, P. C., Maulik, P. K., Pednekar, M. S., & Saxena, S. (2005) · PubMed · Cited by 36 · see citing works
Tobacco control efforts: where is India now?
Kabir, Z., Clancy, L., & Connolly, G. N. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61085-x · Cited by 10 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Yang, 2011, Tobacco control necessary, China Daily
Cited by
Sorted by citations
Global diets link environmental sustainability and human health
Tilman, D. G., & Clark, M. (2014) · Nature · doi:10.1038/nature13959 · Cited by 3,413 · see citing works
Prevalence and Control of Diabetes in Chinese Adults
Xu, Y. (2013) · JAMA · doi:10.1001/jama.2013.168118 · Cited by 2,710 · see citing works
DeFronzo, R. A., Ferrannini, E., Groop, L., Henry, R. R., Herman, W. H., Holst, J. J., Hu, F. B., Kahn, C. R., Raz, I., Shulman, G. I., et al. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.19 · Cited by 2,611 · see citing works
Self-citationEstes, C., Anstee, Q. M., Arias, M., Bantel, H., Bellentani, S., Caballería, J., Colombo, M., Craxı̀, A., Crespo, J., Day, C. P., et al. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2018.05.036 · Cited by 1,986 · see citing works
Optical coherence tomography angiography
Spaide, R. F., Fujimoto, J. G., Waheed, N. K., Sadda, S. R., & Staurenghi, G. (2017) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2017.11.003 · Cited by 1,834 · see citing works
Prevention and management of type 2 diabetes: dietary components and nutritional strategies
Ley, S. H., Hamdy, O., Mohan, V., & Hu, F. B. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60613-9 · Cited by 1,301 · see citing works
Self-citationJager, K. J., Kovesdy, C., Langham, R., Rosenberg, M., Jha, V., & Zoccali, C. (2019) · Kidney International · doi:10.1016/j.kint.2019.07.012 · Cited by 957 · see citing works
Discovery of a Class of Endogenous Mammalian Lipids with Anti-Diabetic and Anti-inflammatory Effects
Yore, M. M., Syed, I., Moraes‐Vieira, P. M., Zhang, T., Herman, M. A., Homan, E. A., Patel, R. T., Lee, J., Chen, S., Peroni, O. D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.035 · Cited by 845 · see citing works
The Economic Costs of Type 2 Diabetes: A Global Systematic Review
Seuring, T., Archangelidi, O., & Suhrcke, M. (2015) · PharmacoEconomics · doi:10.1007/s40273-015-0268-9 · Cited by 840 · see citing works
Vascular Adaptation to Exercise in Humans: Role of Hemodynamic Stimuli
Green, D. J., Hopman, M. T. E., Padilla, J., Laughlin, M. H., & Thijssen, D. H. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00014.2016 · Cited by 821 · see citing works
The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan, J. C. N., Lim, L.-L., Wareham, N. J., Shaw, J. E., Orchard, T. J., Zhang, P., Lau, E. S. H., Eliasson, B., Kong, A. P. S., Ezzati, M., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)32374-6 · Cited by 793 · see citing works
Changing epidemiology of type 2 diabetes mellitus and associated chronic kidney disease
Thomas, M. C., Cooper, M. E., & Zimmet, P. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2015.173 · Cited by 742 · see citing works
Skin-Interfaced Wearable Sweat Sensors for Precision Medicine
Min, J., Tu, J., Xu, C., Lukas, H., Shin, S., Yang, Y., Solomon, S. A., Mukasa, D., & Gao, W. F. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00823 · Cited by 728 · see citing works
Jager, K. J., Kovesdy, C. P., Langham, R. G., Rosenberg, M. E., Jha, V., & Zoccali, C. (2019) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfz174 · Cited by 643 · see citing works
Gut microbiome composition is linked to whole grain-induced immunological improvements
Martínez, I., Lattimer, J. M., Hubach, K. L., Case, J. A., Yang, J., Weber, C. G., Louk, J. A., Rose, D. J., Kyureghian, G., Peterson, D. A., et al. (2013) · The ISME Journal · doi:10.1038/ismej.2012.104 · Cited by 614 · see citing works
The Growing Epidemic of Diabetes Mellitus
Lović, D. B., Piperidou, A., Zografou, I., Grassos, H., Pittaras, A. E., & Manolis, A. J. (2019) · Current Vascular Pharmacology · doi:10.2174/1570161117666190405165911 · Cited by 546 · see citing works
Losses, inefficiencies and waste in the global food system
Alexander, P., Brown, C., Arneth, A., Finnigan, J., Moran, D., & Rounsevell, M. D. A. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.01.014 · Cited by 524 · see citing works
Receptor for AGE (RAGE): Signaling mechanisms in the pathogenesis of diabetes and its complications
Ramasamy, R., Yan, S. F., & Schmidt, A. M. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06320.x · Cited by 521 · see citing works
An Update on the Epidemiology of Type 2 Diabetes
Tinajero, M., & Malik, V. (2021) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2021.05.013 · Cited by 505 · see citing works
Diabetes in Asia and the Pacific: Implications for the Global Epidemic
Nanditha, A., Ronald, C. W., Ramachandran, A., Snehalatha, C., Chan, J. C. N., Chia, K. S., Shaw, J. E., & Zimmet, P. (2016) · Diabetes Care · doi:10.2337/dc15-1536 · Cited by 497 · see citing works
Ng, R., Sutradhar, R., Yao, Z., Wodchis, W. P., & Rosella, L. C. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyz078 · Cited by 497 · see citing works
Reed, J., Bain, S., & Kanamarlapudi, V. (2021) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s319895 · Cited by 441 · see citing works
Nazare, J., Smith, J. D., Borel, A., Haffner, S. M., Balkau, B., Ross, R., Massien, C., Alméras, N., & Després, J. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.035758 · Cited by 440 · see citing works
Basu, S., Yoffe, P., Hills, N., & Lustig, R. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057873 · Cited by 435 · see citing works
“Lastly, a high prevalence of smoking and heavy alcohol use have been associated with diabetes [5].”
BackgroundThe Role of SGLT1 and GLUT2 in Intestinal Glucose Transport and Sensing
Röder, P. V., Geillinger, K. E., Zietek, T., Thorens, B., Koepsell, H., & Daniel, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089977 · Cited by 409 · see citing works
Could consumption of insects, cultured meat or imitation meat reduce global agricultural land use?
Alexander, P. M., Brown, C., Arneth, A., Dias, C., Finnigan, J., Moran, D., & Rounsevell, M. (2017) · Global Food Security · doi:10.1016/j.gfs.2017.04.001 · Cited by 395 · see citing works
Diabetes structured self-management education programmes: a narrative review and current innovations
Chatterjee, S., Davies, M. J., Heller, S., Speight, J., Snoek, F. J., & Khunti, K. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30239-5 · Cited by 372 · see citing works
Alam, M. A., Subhan, N., Hossain, H., Hossain, M., Reza, H. M., Rahman, M., & Ullah, M. O. (2016) · Nutrition & Metabolism · doi:10.1186/s12986-016-0080-3 · Cited by 372 · see citing works
Association of risk factors with type 2 diabetes: A systematic review
Ismail, L., Materwala, H., & Alkaabi, J. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.03.003 · Cited by 366 · see citing works
Prevalence, Prevention, and Lifestyle Intervention of Gestational Diabetes Mellitus in China
Juan, J., & Yang, H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249517 · Cited by 364 · see citing works
Cradock, K. A., ÓLaighin, G., Finucane, F. M., Gainforth, H. L., Quinlan, L. R., & Ginis, K. A. M. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0436-0 · Cited by 343 · see citing works
Epidemiology of Colorectal Cancer
Keum, N., & Giovannucci, E. L. (2016) · Springer eBooks · doi:10.1007/978-3-319-35153-7_21 · Cited by 331 · see citing works
Association between diabetes mellitus and active tuberculosis: A systematic review and meta-analysis
Al‐Rifai, R. H., Pearson, F., Critchley, J., & Abu-Raddad, L. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187967 · Cited by 324 · see citing works
Ali, M. K., Weber, M. B., & Narayan, K. M. V. (2010) · Wiley eBooks · doi:10.1002/9781444324808.ch5 · Cited by 316 · see citing works
Heart Failure With Preserved Ejection Fraction and Diabetes
McHugh, K., DeVore, A. D., Wu, J., Matsouaka, R. A., Fonarow, G. C., Heidenreich, P. A., Yancy, C. W., Green, J. B., Altman, N., & Hernandez, A. F. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.11.033 · Cited by 313 · see citing works
Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017) · Advances in Nutrition · doi:10.3945/an.116.014100 · Cited by 310 · see citing works
Joshi, S., Standl, E., Tong, N., Shah, P., Kalra, S., & Rathod, R. (2015) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.2015.1070827 · Cited by 310 · see citing works
Autophagy in diabetic nephropathy
Ding, Y., & Choi, M. E. (2015) · Journal of Endocrinology · doi:10.1530/joe-14-0437 · Cited by 306 · see citing works
Christine, P. J., Auchincloss, A. H., Bertoni, A. G., Carnethon, M. R., Sánchez, B. N., Moore, K., Adar, S. D., Horwich, T. B., Watson, K. E., & Roux, A. V. D. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.2691 · Cited by 305 · see citing works
Jenum, A. K., Mørkrid, K., Sletner, L., Vange, S., Torper, J. L., Nakstad, B., Voldner, N., Rognerud-Jensen, O. H., Berntsen, S., Mosdøl, A., et al. (2011) · European Journal of Endocrinology · doi:10.1530/eje-11-0866 · Cited by 288 · see citing works
Leng, J., Shao, P., Zhang, C., Tian, H., Zhang, F., Zhang, S., Dong, L., Li, L., Yu, Z., Chan, J. C. N., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121029 · Cited by 281 · see citing works
Anti–TGF-β1 Antibody Therapy in Patients with Diabetic Nephropathy
Voelker, J. R., Berg, P. H., Sheetz, M. J., Duffin, K. L., Shen, T., Moser, B. A., Greene, T., Blumenthal, S. S., Rychlík, I., Yagil, Y., et al. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015111230 · Cited by 280 · see citing works
Beneficial action of resveratrol: How and why?
Díaz-Gerevini, G. T., Repossi, G., Daín, A., Tarrés, M. C., Das, U. N., & Eynard, A. R. (2015) · Nutrition · doi:10.1016/j.nut.2015.08.017 · Cited by 262 · see citing works
Meeks, K. A. C., Freitas-Da-Silva, D., Adeyemo, A., Beune, E., Modesti, P. A., Stronks, K., Zafarmand, M. H., & Agyemang, C. O. (2015) · Internal and Emergency Medicine · doi:10.1007/s11739-015-1302-9 · Cited by 249 · see citing works
Yoga for Adults with Type 2 Diabetes: A Systematic Review of Controlled Trials
Innes, K. E., & Selfe, T. K. (2016) · Journal of Diabetes Research · doi:10.1155/2016/6979370 · Cited by 248 · see citing works
Kanaya, A. M., Herrington, D. M., Vittinghoff, E., Ewing, S. K., Liu, K., Blaha, M. J., Dave, S. S., Qureshi, F., & Kandula, N. R. (2014) · Diabetes Care · doi:10.2337/dc13-2656 · Cited by 242 · see citing works
Kaplan, G. G., & Ng, S. C. (2016) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(16)30077-2 · Cited by 240 · see citing works
Chakraborty, C., Doss, C. G. P., Bandyopadhyay, S., & Agoramoorthy, G. (2014) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1240 · Cited by 239 · see citing works
Protein misfolding and aggregation in Alzheimer’s disease and type 2 diabetes mellitus
Ashraf, G., Greig, N., Khan, T., Hassan, I., Tabrez, S., Shakil, S., Sheikh, I., Zaidi, S., Akram, M., Jabir, N., et al. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666140917095514 · Cited by 236 · see citing works
Diabetes in China part 1: epidemiology and risk factors
Xu, Y., Lu, J., Li, M., Wang, T., Wang, K., Cao, Q., Ding, Y., Xiang, Y., Wang, S., Yang, Q., et al. (2024) · The Lancet Public Health · doi:10.1016/s2468-2667(24)00250-0 · Cited by 235 · see citing works
RETINAL VASCULAR CYSTOID MACULAR EDEMA
Spaide, R. F. (2016) · Retina · doi:10.1097/iae.0000000000001158 · Cited by 234 · see citing works
Restrepo, B. I. (2016) · Microbiology Spectrum · doi:10.1128/microbiolspec.tnmi7-0023-2016 · Cited by 232 · see citing works
Human appropriation of land for food: The role of diet
Alexander, P. M., Brown, C., Arneth, A., Finnigan, J., & Rounsevell, M. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.09.005 · Cited by 231 · see citing works
What is driving global obesity trends? Globalization or “modernization”?
FOX, A. M., Feng, W., & Asal, V. H. (2019) · Globalization and Health · doi:10.1186/s12992-019-0457-y · Cited by 229 · see citing works
Diabetes in the Africa region: An update
Peer, N., Kengne, A. P., Motala, A. A., & Mbanya, J. C. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.006 · Cited by 227 · see citing works
The Burden of Carbohydrates in Health and Disease
Clemente‐Suárez, V. J., Mielgo‐Ayuso, J., Martín-Rodríguez, A., Ramos‐Campo, D. J., Redondo-Flórez, L., & Tornero-Aguilera, J. F. (2022) · Nutrients · doi:10.3390/nu14183809 · Cited by 223 · see citing works
Yan, Y., Wu, T., Zhang, M., Li, C., Liu, Q., & Li, F. (2022) · BMC Public Health · doi:10.1186/s12889-022-13759-9 · Cited by 215 · see citing works
Esteghamati, A., Eskandari, D., Mirmiranpour, H., Noshad, S., Mousavizadeh, M., Hedayati, M., & Nakhjavani, M. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2012.08.006 · Cited by 212 · see citing works
Scientific Statement: Socioecological Determinants of Prediabetes and Type 2 Diabetes
Hill, J. O., Galloway, J. M., Goley, A. L., Marrero, D. G., Minners, R., Montgomery, B. K., Peterson, G. E., Ratner, R. E., Sánchez, E., & Aroda, V. R. (2013) · Diabetes Care · doi:10.2337/dc13-1161 · Cited by 205 · see citing works
Dagenais, G. R., Gerstein, H. C., Zhang, X., McQueen, M., Lear, S. A., López-Jaramillo, P. A., Mohan, V., Mony, P. K., Gupta, R., Kutty, V. R., et al. (2016) · Diabetes Care · doi:10.2337/dc15-2338 · Cited by 201 · see citing works
Diabetes in China: a societal solution for a personal challenge
Chan, J. C. N., Zhang, Y., & Ning, G. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70144-5 · Cited by 200 · see citing works
Zhao, C., Yang, C., Wai, S. T. C., Zhang, Y., P. Portillo, M., Paoli, P., Wu, Y., San Cheang, W., Liu, B., Carpéné, C., et al. (2019) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1501658 · Cited by 199 · see citing works
Phan, T. P., Alkema, L., Tai, E. S., Tan, K. H. X., Yang, Q., Lim, W., Teo, Y. Y., Cheng, C., Wang, X., Wong, T. Y., et al. (2014) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2013-000012 · Cited by 190 · see citing works
Diabetes and Associated Complications in the South Asian Population
Shah, A. D., & Kanaya, A. M. (2014) · Current Cardiology Reports · doi:10.1007/s11886-014-0476-5 · Cited by 188 · see citing works
PPARs: Regulators of Metabolism and As Therapeutic Targets in Cardiovascular disease. Part I: PPAR-α
Han, L., Shen, W., Bittner, S., Kraemer, F. B., & Azhar, S. (2017) · Future Cardiology · doi:10.2217/fca-2016-0059 · Cited by 185 · see citing works
Zhuang, R., Ge, X., Han, L., Yu, P., Gong, X., Meng, Q., Zhang, Y., Fan, H., Zheng, L., Liu, Z., et al. (2019) · Obesity Reviews · doi:10.1111/obr.12843 · Cited by 184 · see citing works
Sharifi-Rad, J., Dey, A., Koirala, N., Shaheen, S., El Omari, N., Salehi, B., Goloshvili, T., Cirone Silva, N. C., Bouyahya, A., Vitalini, S., et al. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.600139 · Cited by 183 · see citing works
Wu, H., Bertrand, K. A., Choi, A. L., Hu, F. B., Laden, F., Grandjean, P., & Sun, Q. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1205248 · Cited by 183 · see citing works
Self-citationBrannick, B., Wynn, A., & Dagogo-Jack, S. E. (2016) · Experimental Biology and Medicine · doi:10.1177/1535370216654227 · Cited by 180 · see citing works
A Genome-Wide Association Study Identifies GRK5 and RASGRP1 as Type 2 Diabetes Loci in Chinese Hans
Li, H., Gan, W., Lu, L., Dong, X., Han, X., Hu, C., Yang, Z., Sun, L., Bao, W., Li, P., et al. (2012) · Diabetes · doi:10.2337/db12-0454 · Cited by 179 · see citing works
Self-citationAssociation of Diabetes With All-Cause and Cause-Specific Mortality in Asia
Yang, J. J., Yu, D., Wen, W., Saito, E., Rahman, M. S., Shu, X., Chen, Y., Gupta, P. C., Gu, D., Tsugane, S., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.2696 · Cited by 177 · see citing works
The impact of brief high-intensity exercise on blood glucose levels
Adams, P. J. (2013) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s29222 · Cited by 173 · see citing works
Soda and Tobacco Industry Corporate Social Responsibility Campaigns: How Do They Compare?
Dorfman, L. E., Cheyne, A., Friedman, L. C., Wadud, A., & Gottlieb, M. A. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001241 · Cited by 170 · see citing works
Gangemi, S., Miozzi, E., Teodoro, M., Briguglio, G., De Luca, A., Alibrando, C., Polito, I., & Libra, M. (2016) · Molecular Medicine Reports · doi:10.3892/mmr.2016.5817 · Cited by 169 · see citing works
Bao, W., Tobias, D. K., Bowers, K., Chavarro, J., Vaag, A., Grunnet, L. G., Strøm, M., Mills, J., Liu, A., Kiely, M., et al. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.1795 · Cited by 166 · see citing works
Early Prediction of Developing Type 2 Diabetes by Plasma Acylcarnitines: A Population-Based Study
Sun, L. D., Liang, L., Gao, X., Zhang, H., Yao, P., Hu, Y., Ma, Y., Wang, F., Jin, Q., Li, H., et al. (2016) · Diabetes Care · doi:10.2337/dc16-0232 · Cited by 166 · see citing works
Self-citationPlant-Based Antidiabetic Nanoformulations: The Emerging Paradigm for Effective Therapy
Dewanjee, S., Chakraborty, P., Mukherjee, B., & Feo, V. D. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21062217 · Cited by 166 · see citing works
Ardisson Korat, A. V., Willett, W. C., & Hu, F. B. (2014) · Current Nutrition Reports · doi:10.1007/s13668-014-0103-5 · Cited by 162 · see citing works
Self-citationWhite Rice Intake and Incident Diabetes: A Study of 132,373 Participants in 21 Countries
Bhavadharini, B., Mohan, V., Dehghan, M., Rangarajan, S., Swaminathan, S., Rosengren, A., Wielgosz, A., Avezum, A., Lopez-Jaramillo, P., Lanas, F., et al. (2020) · Diabetes Care · doi:10.2337/dc19-2335 · Cited by 162 · see citing works
Streba, L. A. M. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i14.4103 · Cited by 161 · see citing works
Cheng, D. M., Kuhn, P. E., Poulev, A., Rojo, L. E., Lila, M. A., & Raskin, I. (2012) · Food Chemistry · doi:10.1016/j.foodchem.2012.06.117 · Cited by 160 · see citing works
Ten Emerging Trends in the Epidemiology of Diabetic Retinopathy
Sabanayagam, C., Yip, W., Ting, D. S. W., Tan, G. S. W., & Wong, T. Y. (2016) · Ophthalmic Epidemiology · doi:10.1080/09286586.2016.1193618 · Cited by 160 · see citing works
Food, Agriculture & the Environment: Can We Feed the World & Save the Earth?
Tilman, D. G., & Clark, M. (2015) · Daedalus · doi:10.1162/daed_a_00350 · Cited by 159 · see citing works
Wang, X., Liu, J., Cheng, Z., Zhong, Y., Chen, X., & Song, W. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01532-7 · Cited by 156 · see citing works
The Elevated Susceptibility to Diabetes in India: An Evolutionary Perspective
Wells, J. C. K., Pomeroy, E., Walimbe, S. R., Popkin, B. M., & Yajnik, C. S. (2016) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00145 · Cited by 155 · see citing works
Sugar consumption and global prevalence of obesity and hypertension: an ecological analysis
Siervo, M., Montagnese, C., Mathers, J. C., Soroka, K. R., Stephan, B. C. M., & Wells, J. C. K. (2013) · Public Health Nutrition · doi:10.1017/s1368980013000141 · Cited by 155 · see citing works
Causes of type 2 diabetes in China
Ronald, C. W., Xu, L., & Jia, W. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70145-7 · Cited by 154 · see citing works
GLP-1 receptor agonists and reduction of cardiometabolic risk: Potential underlying mechanisms
Rizzo, M., Nikolic, D., Patti, A. M., Mannina, C., Montalto, G., McAdams, B. S., Rizvi, A. A., & Cosentino, F. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.05.012 · Cited by 152 · see citing works
Fatima, N., Hafizur, R. M., Hameed, A., Ahmed, S., Nisar, M., & Kabir, N. (2015) · European Journal of Nutrition · doi:10.1007/s00394-015-1103-y · Cited by 152 · see citing works
Biofilm formation – what we can learn from recent developments
Bjarnsholt, T., Buhlin, K., Dufrêne, Y. F., Gomelsky, M., Moroni, A., Ramstedt, M., Rumbaugh, K. P., Schulte, T. P., Sun, L., Åkerlund, B., et al. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12782 · Cited by 152 · see citing works
Green synthesis of silver nanoparticles from Allium cepa and its in vitro antidiabetic activity
Jini, D., & Sharmila, S. (2019) · Materials Today Proceedings · doi:10.1016/j.matpr.2019.07.672 · Cited by 152 · see citing works
The epidemiology of diabetes in psychotic disorders
Ward, M., & Druss, B. G. (2015) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00007-3 · Cited by 151 · see citing works
Mann, S., Beedie, C., Balducci, S., Zanuso, S., Allgrove, J. E., Bertiato, F., & Jiménez, A. (2013) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2488 · Cited by 150 · see citing works
Q&A: insulin secretion and type 2 diabetes: why do β-cells fail?
Cantley, J., & Ashcroft, F. M. (2015) · BMC Biology · doi:10.1186/s12915-015-0140-6 · Cited by 150 · see citing works
Dumuid, D., Olds, T., Lewis, L. K., Fernández, J. A. M., Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Chaput, J., Fogelholm, M., Hu, G., et al. (2017) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2016.12.048 · Cited by 148 · see citing works
An Integrative Approach to Neuroinflammation in Psychiatric disorders and Neuropathic Pain
Lurie, D. I. (2018) · Journal of Experimental Neuroscience · doi:10.1177/1179069518793639 · Cited by 146 · see citing works
Handling healthcare workforce planning with care: where do we stand?
Amorim‐Lopes, M., Almeida, Á. S., & Almada‐Lobo, B. (2015) · Human Resources for Health · doi:10.1186/s12960-015-0028-0 · Cited by 143 · see citing works
Kodama, S., Horikawa, C., Fujihara, K., Yoshizawa, S. M., Yachi, Y., Tanaka, S., Ohara, N., Matsunaga, S., Yamada, T., Hanyu, O., et al. (2013) · Obesity Reviews · doi:10.1111/obr.12129 · Cited by 142 · see citing works
Obesity and cardiovascular disease in women
Manrique‐Acevedo, C., Chinnakotla, B., Padilla, J., Martinez‐Lemus, L. A., & Gozal, D. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-0548-0 · Cited by 142 · see citing works
Challenges and Perspectives in the Treatment of Diabetes Associated Breast Cancer
Samuel, S. M., Varghese, E., Varghese, S., & Büsselberg, D. (2018) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2018.08.004 · Cited by 141 · see citing works
- Authors
- Hu, F. B.
- Affiliations
- Brigham and Women's Hospital (US)
- Corresponding author
- Hu, Frank B.
- ORCID
- Hu, Frank B.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2011-05-20
- Volume
- 34
- Issue
- 6
- Pages
- 1249-1257
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC3114340
- OpenAlex
- W2045362322
- Semantic Scholar
- 35afc2c6a88129bb98734dc9095f7dc4294bb562
- Cited by
- 1,954
- References
- 64
- Citations by year
- 2026: 81 · 2025: 91 · 2024: 145 · 2023: 109 · 2022: 129 · 2021: 152 · 2020: 142 · 2019: 133 · 2018: 141 · 2017: 164 · 2016: 187 · 2015: 158 · 2014: 150 · 2013: 97 · 2012: 65
- FWCI
- 83.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- American Diabetes Association
- National Institutes of Health
- National Heart, Lung, and Blood Institute (HL60712, R01HL060712)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK058845, DK58845)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- type 2 diabetes, diabetes epidemic, Asia, nutrition transition, obesity, smoking, alcohol consumption, white rice consumption, physical inactivity, in utero nutrition, genetic susceptibility, Western diet, lifestyle modification, diabetes prevention, public health policy, built environment, health care system
- MeSH terms
- Adult, Alcohol Drinking, Asia, Developing Countries, Diabetes Mellitus, Type 2, Diet, Dietary Carbohydrates, Health Promotion, Humans, Inflammation, Insulin Resistance, Life Style, Motor Activity, Smoking, Exercise, Prevalence, Genetic Predisposition to Disease, Asian People, Genetic Association Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review