Physical Activity Pattern and Its Association with Glycaemic and Blood Pressure Control among People Living with Diabetes (PLWD) In The Ho Municipality, Ghana

Osei-Yeboah, James; Owiredu, William K. B. A.; Norgbe, Gameli Kwame; Obirikorang, Christian; Lokpo, Sylvester Yao; Ashigbi, Evans Yayra Kwaku; Johnson, Beatrice Bella; Ussher, Francis Abeku; Deku, John Gameli; Asiamah, Emmanuel Akomanin; Avorkliyah, Roseline; Boakye, Emmanuel E.; Ntoni, Tibemponi; Nyamadi, Prince Senyo Kwasi

doi:10.4314/ejhs.v29i1.3

Cited by 15 publications

(21 citation statements)

References 35 publications

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“…Of the 21 studies, 5 were from South Africa [ 41 – 45 ], 5 from Ethiopia [ 10 , 46 – 49 ], 3 from Kenya [ 50 – 52 ], 2 from Tanzania [ 53 , 54 ], 2 from Nigeria [ 55 , 56 ], and 1 from Cameron [ 24 ], Uganda [ 57 ], Botswana [ 58 ], and Ghana [ 59 ]. All studies were institution-based cross-sectional studies.…”

Section: Resultsmentioning

confidence: 99%

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Suboptimal blood pressure control and its associated factors among people living with diabetes mellitus in sub-Saharan Africa: a systematic review and meta-analysis

et al. 2022

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Background Suboptimal blood pressure control among people living with diabetes mellitus (DM) is one of the primary causes of cardiovascular complications and death in sub-Saharan Africa (SSA). However, there is a paucity of evidence on the prevalence and associated factors of suboptimal blood pressure control in SSA. Therefore, this review aimed to estimate its pooled prevalence and associated factors among people living with DM in SSA. Methods We systematically searched PubMed, African Journals OnLine, HINARI, ScienceDirect, Google Scholar, and direct Google to access observational studies conducted in SSA. Microsoft Excel spreadsheet was used to extract the data, which was exported into STATA/MP version 16.0 for further analyses. Heterogeneity across studies was checked using Cochran’s Q test statistics and I2 test, and small study effect was checked using Funnel plot symmetry and Egger’s statistical test at a 5% significant level. A random-effects model was used to estimate the pooled prevalence and associated factors of suboptimal blood pressure control at a 95% confidence interval (CI) and significance level of p < 0.05. Results Of the 7329 articles retrieved, 21 articles were eligible for the meta-analysis. After performing random-effects model, the pooled prevalence of suboptimal blood pressure control was 69.8% (95% CI: 63.43, 76.25%). Poor adherence to antihypertensive treatment (OR = 1.7; 95% CI: 1.03–2.80, I2 = 0.0%, p = 0.531) and overweight (OR = 2.4, 95% CI: 1.57–3.68, I2 = 0.00%, p = 0.47) were significantly associated with suboptimal blood pressure control. Conclusions The prevalence of suboptimal blood pressure control among diabetic patients in SSA was high, and poor adherence to antihypertensive treatment and overweight were significantly associated with suboptimal blood pressure control. Hence, there is an urgent need for initiatives to improve and control hypertension, and preventive measures should concentrate on modifiable risk factors. Systematic review registration PROSPERO CRD42020187901.

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Section: Resultsmentioning

confidence: 99%

“…All studies were institution-based cross-sectional studies. To define suboptimal blood pressure control, BP cut point of ≥ 140/90 was used by 11 studies [ 10 , 42 , 45 – 47 , 49 , 52 , 56 , 58 , 60 , 61 ], ≥ 140/80 by 3 studies [ 44 , 57 ], and ≥ 130/80 by 7 studies [ 24 , 43 , 51 , 53 – 55 ] (Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

Suboptimal blood pressure control and its associated factors among people living with diabetes mellitus in sub-Saharan Africa: a systematic review and meta-analysis

et al. 2022

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“…33 Moreover, there are possible mechanisms concerning the relationship of RHGS and hypertension with physical activity; primarily, the inverse association between exercise and physical activity with hypertension and muscle strength is the result of strength training. 29,34 Second, isometric handgrip exercises improve the structure of the brachial artery. 35,36 Therefore, low HGS can be associated with poor conditions of the brachial artery, which can lead to hypertension.…”

Section: Discussionmentioning

confidence: 99%

Relative Handgrip Strength and Incidence of Hypertension: A Case-Cohort Study From Ravansar Non-Communicable Diseases Cohort

Najafi

Darbandi

Rezaeian

et al. 2022

Journal of Physical Activity and Health

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Background: The present study assessed the association between relative handgrip strength (RHGS) and hypertension incidence in healthy adults. Methods: We performed a case-cohort study on 3784 participants from Ravansar Non-Communicable Diseases cohort study. The absolute HGS was measured using a digital dynamometer. Hypertension was defined as systolic/diastolic blood pressure ≥140/90 mm Hg and/or use of antihypertensive medications. Cox regression analysis was utilized to estimate hazard ratios of incident hypertension events with RHGS. Results: Physical activity was significantly higher in the participants with hypertension compared with nonhypertensive participants (P < .001). High-level physical activity in the subjects with lower, middle, and upper RHGS was 19.6%, 33.1%, and 47.3%, respectively (P < .001). RHGS was significantly higher in individuals with greater skeletal muscle mass (P < .001). The men and women with the upper RHGS, had an 80% (hazard ratio: 0.2; 95% confidence interval, 0.1–0.3) and 70% (hazard ratio: 0.3; 95% confidence interval, 0.1–1.2), were lower risk of hypertension compared with those with the lower RHGS, respectively. This association remains significant after adjustment for confounding factors in men. Conclusion: The study demonstrated that middle and upper levels of RHGS were associated with a lower risk of hypertension incidence. RHGS may be a protective factor for hypertension. We suggested muscle strengthening exercises.

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“…Findings from studies buttress the fact that medication adherence facilitates glycaemic control. The studies by Alqami & Osei-Yeboah et al [47,48] found an association between glycaemic control and medication adherence. These studies demonstrate the importance of medication adherence even in the elderly diabetic patient.…”

Section: Discussionmentioning

confidence: 98%

Glycemic Control and its Associated Factors among Elderly Diabetic Patients in a Tertiary Hospital in Lagos, Nigeria

Angela¹,

Mirian

Nneamaka³

2022

CRDOJ

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Background: Glycaemic control in the elderly diabetic patient is highly individualized and achieving desired targets in the presence of comorbid conditions could be very challenging. This study was conducted to assess the glycemic control of elderly diabetics and identify associated factors at the Lagos University Teaching Hospital (LUTH). Methods: A hospital-based, cross-sectional descriptive study involving 199 randomly selected elderly diabetic patients receiving care at LUTH. A pretested, interviewer-administered questionnaire was used in data collection, which include sociodemographic characteristics, clinical history, and glycaemic control. Glycemic control was assessed using glycated haemoglobin (HBA1C). HBA1C<7.0% was tight; 7-8% targeted and >8% poor glycaemic control. Associations between glycemic control and independent variables was assessed using the chi-square test and its predictors identified by logistic regression analysis. Level of significance was set at p<0.05. Results: The mean age of the participants was 68.6 years ± 6.7 years. Tight and poor glycemic control was seen in 35.1% and 34.2% respectively. Significant associations existed between glycemic control, age (ꭓ2 =9.310; p – 0.010), and marital status (ꭓ2 = 9.934; p – 0.007). Independent predictors include >2 antidiabetic medication (aOR – 2.55; p – 0.048) Conclusion: Poor glycaemic control was high among the elderly and there was a negative correlation between age and glycaemic control among the participants. Statistically significant association was also found between glycaemic control and marital status of the participants as well as the number of diabetic medications, the presence of co-morbid conditions and adherence to medications. The need for individualized care among elderly diabetics cannot be overemphasized in order to reduce the risk of hypoglycaemia, improve clinical outcome, while considering other factors which could have an impact on glycaemic control among the elderly.

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Physical Activity Pattern and Its Association with Glycaemic and Blood Pressure Control among People Living with Diabetes (PLWD) In The Ho Municipality, Ghana

Cited by 15 publications

References 35 publications

Suboptimal blood pressure control and its associated factors among people living with diabetes mellitus in sub-Saharan Africa: a systematic review and meta-analysis

Suboptimal blood pressure control and its associated factors among people living with diabetes mellitus in sub-Saharan Africa: a systematic review and meta-analysis

Relative Handgrip Strength and Incidence of Hypertension: A Case-Cohort Study From Ravansar Non-Communicable Diseases Cohort

Glycemic Control and its Associated Factors among Elderly Diabetic Patients in a Tertiary Hospital in Lagos, Nigeria

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