Global variability in diabetes mellitus and its association with body weight and primary healthcare support in 49 low‐ and middle‐income developing countries

Liu, L.; Yin, Xiaoyan; Morrissey, Susan L.

doi:10.1111/j.1464-5491.2011.03549.x

Cited by 25 publications

(21 citation statements)

References 24 publications

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“…Furthermore, patients with DM are disproportionately distributed in those with low socioeconomic status. The application of mobile technology calls for healthcare system and health policy reforms to meet an urgent need of an increasing trend of DM in the United States and worldwide 13,15,33,34 .…”

Section: Discussionmentioning

confidence: 99%

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A Meta-Analysis of Mobile Health and Risk Reduction in Patients with Diabetes Mellitus: Challenge and Opportunity

Liu¹,

Ogwu²

2012

Journalmtm

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Purpose: To examine scientific evidence on the effectiveness of mobile phone technology in Diabetes Mellitus (DM) care management. Methods: A systematic review was conducted through literature searches from three electronic databases and was restricted to English-language articles published between January 2002 and March 2012. Studies that used mobile phone intervention and reported changes in diet, physical activity, and blood glucose and /or glycosylated hemoglobin (HbA1c) levels were retrieved. A meta-analysis was conducted for studies with HbA1c measures.Results: More than 50 articles were screened. Of them, 15 met the review criteria. Of the 15, study sample sizes ranged from 12 to 130 participants aged 8 to 70 years old. Duration of intervention ranged from 1 to 12 months. Overall, significant improvements were observed in blood glucose and/or HbA1c concentration, adherence to medication, healthy lifestyle, and self-efficacy. Twelve of 15 trials, which had serum HbA1c measures, showed an average 0.39% (95%CI: -0.067, -0.721) HbA1c reduction from studies with pre-to post-tests (p=0.018). Conclusion:Findings from the study provide the evidence that health reminders, disease monitoring and management, and education through mobile phone technology may significantly help improve glycaemic control patients with DM.

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Section: Discussionmentioning

confidence: 99%

“…Diabetes Mellitus (DM) is a highly prevalent chronic disease in the United States and in the world [13][14][15] . Although several methods of patient care have been well established to improve clinical profile and complications associated with DM, effectiveness of novel interventions remains to be evaluated 16 .…”

Section: Introductionmentioning

confidence: 99%

A Meta-Analysis of Mobile Health and Risk Reduction in Patients with Diabetes Mellitus: Challenge and Opportunity

Liu¹,

Ogwu²

2012

Journalmtm

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“…Because of the consistently observed relationship between education and health behaviours, lower level of education has been treated as either a risk factor for diabetes on its own7 or as a confounder for the BMI–DM relationship 8. Yet, these two approaches may not fully capture the complexity of the interrelationship between education, BMI and DM.…”

Section: Introductionmentioning

confidence: 99%

Global educational disparities in the associations between body mass index and diabetes mellitus in 49 low-income and middle-income countries

Wang

Stronks

Arah³

2014

J Epidemiol Community Health

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BackgroundDespite the well-established link between body mass index (BMI) and diabetes mellitus (DM), it remains unclear whether this association is more pronounced at certain levels of education. This study assessed the modifying effect of educational attainment on the associations between BMI and DM—as well as the joint associations of BMI and education with DM—in low-income countries (LICs) and middle-income countries (MICs).MethodsThe authors used cross-sectional data from 160 381 participants among 49 LICs and MICs in the World Health Survey. Overweight and obesity levels were defined using WHO's classification. Educational attainment was classified in four categories: ‘no formal education’, ‘some/completed primary school’, ‘secondary/high school completed’ and ‘college and beyond’. We used random-intercept multilevel logistic regressions to investigate the modifying influence of educational attainment on the associations of different BMI levels—as well as their joint associations—with DM.ResultsWe found positive associations between excessive BMI and DM at each education level in both LICs and MICs. We found that the joint associations of BMI and education with DM were larger than the product of their separate single associations among females in LICs. With joint increases in BMI and education, males and females in LICs had similar increased odds of DM, but males had higher such odds than females in MICs.ConclusionsBMI and education are associated with the DM, but the associations seem to differ in complex ways between LICs and MICs and by gender.

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“…In fact, three-quarters of persons diagnosed with hypertension are reported to live in developing countries (10), with the condition being a major cause of premature and avoidable disability. The situation is similar for diabetes, with four in five persons with diabetes living in developing countries (16)(17)(18); this condition may result in significant morbidity issues such as renal failure, neuropathy and heart disease, and premature mortality (16,19).…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al notes that as life expectancy increases and the population ages, NCDs are also expected to increase (18). Hu (17) also links the increase in diabetes to globalization, economic development because of nutrition transitions, and adoption of a sedentary lifestyle.…”

Section: Introductionmentioning

confidence: 99%

Hypertension and Diabetes Prevalence in Older Persons in Jamaica, 2012

et al. 2014

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Global variability in diabetes mellitus and its association with body weight and primary healthcare support in 49 low‐ and middle‐income developing countries

Cited by 25 publications

References 24 publications

A Meta-Analysis of Mobile Health and Risk Reduction in Patients with Diabetes Mellitus: Challenge and Opportunity

A Meta-Analysis of Mobile Health and Risk Reduction in Patients with Diabetes Mellitus: Challenge and Opportunity

Global educational disparities in the associations between body mass index and diabetes mellitus in 49 low-income and middle-income countries

Hypertension and Diabetes Prevalence in Older Persons in Jamaica, 2012

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