The prevalence and determinants of non-communicable diseases among Ghanaian adults: A survey at a secondary healthcare level.
Hosea BoakyeAlbert AtabilaThomas HinnehMartin AckahFolasade Ojo-BenysAjediran I BelloPublished in: PloS one (2023)
The current epidemiological transition of diseases in Ghana necessitates understanding their burden and the associated context-specific risk factors to inform disease prevention strategies. To determine the prevalence and determinants of selected Non-Communicable Diseases (NCDs) among patients seeking healthcare services in a secondary health facility in Ghana. A facility-based survey was conducted among adult patients 18 years and above between May and July 2021, using a multi-stage sampling approach. Data regarding the prevalence of NCDs, participants' socio-demographics and lifestyle factors of NCDs were obtained using Modified STEPwise Approach to NCD Risk Factor Surveillance (STEPS). The Chi-square test and regression analysis were performed to identify the risk factors of NCDs at P < 0.05. The participants comprised 480 patients with a mean age of 37.7±16.5 years, and 57.7% (277/480) of them were females. The overall prevalence of the selected NCDs was 26.7% (CI = 0.23-0.31), of which hypertension (22.7%) was the most prevalent. More than half (54.2%) of the participants engaged in alcohol consumption and 54% were physically inactive. The odds of developing NCDs were higher in females (CI = 1.32-4.10, P = 0.004), older adults (CI = 4.11-20.68, P <0.001), overweight/obese adults (CI = 1.65-4.70, P < 0.001), family history (CI = 0.15-0.46, P<0.001), and alcohol consumption (CI = 0.12-0.40, P < 0.001). There was an overall high prevalence of NCDs, strongly influenced by the participants' age, sex, BMI, alcohol consumption, and family history. These determinants should be highlighted as part of the campaign for preventive action plans.
Keyphrases
- risk factors
- alcohol consumption
- healthcare
- weight loss
- physical activity
- public health
- metabolic syndrome
- mental health
- type diabetes
- cardiovascular disease
- primary care
- adipose tissue
- body mass index
- electronic health record
- machine learning
- health information
- risk assessment
- deep learning
- social media
- human health
- obese patients