Prevalence of undiagnosed diabetes and pre-diabetes among hypertensive patients attending Kiambu district Hospital, Kenya: a cross-sectional study

Meme, Nkatha; Amwayi, Samuel; Nganga, Ziporrah; Buregyeya, Esther

doi:10.11604/pamj.2015.22.286.7395

Cited by 21 publications

(22 citation statements)

References 37 publications

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“…Similar findings were reported in a Kenyan study by Meme, Amwayi, Nganga, & Buregyeya, 2015 and in Ethiopia study by Amsalu T W, Habtamu M B et al 2017. This association could be partially due to physiological traits: this mean that the effects of one disease increases the likelihood for developing the other disease.…”

Section: Discussionsupporting

confidence: 88%

Prevalence of Undiagnosed Type 2 Diabetes Mellitus and Its Associated Factors Among the Malaysian Population: The 2015 National Health and Morbidity Survey, Malaysia

Ismail¹,

Omar²,

Saminathan³

et al. 2018

GJHS

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Background: The prevalence of diabetes has increased dramatically in the last decade. Compounding the problem are undiagnosed cases of type 2 diabetes mellitus. These respondents are those who do not know that they have the disease. Undiagnosed cases have substantial implications as they are at more risk to develope fatal complications. This study aims to determine the prevalence of undiagnosed T2DM and to identify its associated factors in Malaysia.

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Section: Discussionsupporting

confidence: 88%

Prevalence of Undiagnosed Type 2 Diabetes Mellitus and Its Associated Factors Among the Malaysian Population: The 2015 National Health and Morbidity Survey, Malaysia

Ismail¹,

Omar²,

Saminathan³

et al. 2018

GJHS

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“…Although there is variability of the prevalence of pre-diabetes in different literature, our finding suggests that 23.4 % of our study samples are pre-diabetic. This figure is slightly higher than a crosssectional study conducted in Kenya 18% and 8.6% reported by a population study conducted in Uganda (47,48). Likewise, our finding indicated a significantly higher prevalence of pre-hypertension among our samples when compared to a report from Iran 33.7% (49), while it is lower than what is reported in a Nigerian study 45.5% (50).…”

Section: Discussioncontrasting

confidence: 84%

Central obesity, not BMI explains cardio-metabolic risks among university employees, Ethiopia – a cross-sectional study

Janakiraman

Abebe

Chala

et al. 2019

Preprint

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Background: Evidence suggests that the middle and low-income countries such as Ethiopia are facing the growing epidemic of both communicable and non-communicable diseases creating burden on the healthcare system. The increasing prevalence is attributed to sedentarism, lifestyle changes and the presence of other cardio-metabolic risk factors. Therefore this study was designed to assess the prevalence and association of overweight, obesity, and cardio metabolic risks and to explore if there was any agreement among the anthropometric measurements among the academic employees of the University of Gondar, Ethiopia. Methods: An institutional based cross-sectional study was conducted using the WHO stepwise approach and recommendations on 381 academic staff of the university. In addition, physical measurements such as weight, height, waist and hip circumferences, and biochemical measures such as blood pressure and fasting blood glucose level (peripheral blood samples by finger puncture) were measured using standardized tools. Result: The mean age of the participants was 33.5 years. The prevalence of obesity among the study participants defined by body mass index, waist circumference, waist height ratio and waist hip ratio was 13.1%, 33.6%, 51.9% and 58.5% respectively. The prevalence of diabetes was 4.7% among which 1.3% was not diagnosed prior to this study. About 53 (13.9%) of the study sample were found to be hypertensive (6.3% known versus 29 7.6% newly diagnosed). Among the participants 39.4% and 23.4% were found to be pre hypertensive and pre diabetic respectively. WC was significantly associated with HTN (AOR = 5.14; 2.50, 9.72), pre-DM (AOR = 4.03; 2.974, 5.96), DM (AOR = 3.29; 1.09, 6.01). In addition, WHtR was significantly associated with Pre-HTN (AOR = 2.69; 1.49, 4.58), HTN (AOR = 2.06; 1.01, 6.31), and DM (AOR = 1.85; .76, 4.32). Conclusion: This study results revealed the variable prevalence between general obesity and the anthropometric indices (IDF cutoff) defining central obesity; WC, WHtR, and WHR among the participants. The result of this study suggests that the constructs of central obesity, not BMI has to be used to screen risks of cardio-metabolic risks among Ethiopians. Keywords: Diabetes mellitus, Hypertension, pre-hypertension, pre-diabetes, Ethiopia

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“…Moreover, diabetes is known to increase the risk of cardiovascular disease including hypertension [31]. Diabetes and cardiovascular disease, in Kenya, as in many other countries, are often comorbidities [32].…”

Section: Discussionmentioning

confidence: 99%

The Rise of Noncommunicable Diseases in Kenya: An Examination of the Time Trends and Contribution of the Changes in Diet and Physical Inactivity

Onyango

2018

JEGH

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This study examined correlations of historical changes in diet and physical inactivity with the rise of noncommunicable diseases (NCDs) in Kenya. Historical data on diet, wage jobs by industry, urbanization, gross domestic product (GDP), and morbidity due to NCDs were extracted from Kenya Statistical Abstracts, Food and Agriculture Organization (FAOSTAT), and the World Bank online database. These data were plotted and correlations between these factors and the incidence of different NCDs over time were evaluated. There was a rapid rise in the incidence of circulatory disease starting in 2001, and of hypertension and diabetes starting in 2008. The rise of these NCDs, especially hypertension and diabetes, was accompanied over the same period by a rise in per capita GDP and physical inactivity (as measured by increased urbanization and declining proportion of agricultural and forestry wage jobs); a rise in per capita supply of rice, wheat and its products, and cooking oils; and a decline in the per capita supply of maize and sugar. In conclusion, the positive correlations between indicators of dietary consumption and physical inactivity and rates of hypertension, circulatory disease, and diabetes suggest that the rapid rise of NCDs in Kenya may be, in part, due to changes in these modifiable factors.

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Prevalence of undiagnosed diabetes and pre-diabetes among hypertensive patients attending Kiambu district Hospital, Kenya: a cross-sectional study

Cited by 21 publications

References 37 publications

Prevalence of Undiagnosed Type 2 Diabetes Mellitus and Its Associated Factors Among the Malaysian Population: The 2015 National Health and Morbidity Survey, Malaysia

Prevalence of Undiagnosed Type 2 Diabetes Mellitus and Its Associated Factors Among the Malaysian Population: The 2015 National Health and Morbidity Survey, Malaysia

Central obesity, not BMI explains cardio-metabolic risks among university employees, Ethiopia – a cross-sectional study

The Rise of Noncommunicable Diseases in Kenya: An Examination of the Time Trends and Contribution of the Changes in Diet and Physical Inactivity

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