ArticleThe EPMA journal2017
Incorporation of suboptimal health status as a potential risk assessment for type II diabetes mellitus: a case-control study in a Ghanaian population.
Article in The EPMA journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 58 citations in OpenAlex.
- Dialectical behavioral therapy-based prevention of non-suicidal self-harm among secondary students in China: a randomized controlled trial.BMC public health · 2025Trial
- The suboptimal health status questionnaire: Turkish validity and reliability study.Frontiers in public health · 2026Article
- Suboptimal health among Chinese middle school students may be associated with psychological symptoms and sleep duration: a cross-sectional survey in China.BMC public health · 2024Article
- Genetic association of lipid traits and lipid-related drug targets with normal tension glaucoma: a Mendelian randomization study for predictive preventive and personalized medicine.The EPMA journal · 2024Article
- The caregiving role influences Suboptimal Health Status and psychological symptoms in unpaid carers.The EPMA journal · 2024Article
- Article
- Validity and reliability of the Persian version of the Suboptimal Health Status Questionnaire among university staff in Iran.Journal of global health · 2023Article
- Conceptualised psycho-medical footprint for health status outcomes and the potential impacts for early detection and prevention of chronic diseases in the context of 3P medicine.The EPMA journal · 2023Article
- Influence of lifestyle on suboptimal health: Insights from a national cross-sectional survey in China.Journal of global health · 2023Article
- Measurement properties of the EQ-5D-5L in sub-health: evidence based on primary health care workers in China.Health and quality of life outcomes · 2023Article
- Association of IgG N-glycomics with prevalent and incident type 2 diabetes mellitus from the paradigm of predictive, preventive, and personalized medicine standpoint.The EPMA journal · 2023Article
- High-Throughput Glycomic Methods.Chemical reviews · 2022Review
- Multi-block data integration analysis for identifying and validating targeted N-glycans as biomarkers for type II diabetes mellitus.Scientific reports · 2022Article
- Circulating Ism1 Reduces the Risk of Type 2 Diabetes but not Diabetes-Associated NAFLD.Frontiers in endocrinology · 2022Article
- The Interactions of Media Use, Obesity, and Suboptimal Health Status: A Nationwide Time-Trend Study in China.International journal of environmental research and public health · 2021Article
- All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine.The EPMA journal · 2021Article
- Construct validity of the Suboptimal Health Status Questionnaire-25 in a Ghanaian population.Health and quality of life outcomes · 2021Article
- Blood transcriptome profiling as potential biomarkers of suboptimal health status: potential utility of novel biomarkers for predictive, preventive, and personalized medicine strategy.The EPMA journal · 2021Article
- The Rapidly Expanding Nexus of Immunoglobulin G N-Glycomics, Suboptimal Health Status, and Precision Medicine.Experientia supplementum (2012) · 2021Article
- Associated Factors of Suboptimal Health Status Among Adolescents in China: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to a paradigm shift in lifestyles, there is growing concern that type 2 diabetes mellitus (T2DM) will reach epidemic proportions in Ghana. However, specific characteristics of the disease are under explored in this region. More challenging are those yet to be diagnosed or who complain of poor health in the absence of a diagnosed disease-suboptimal health status (SHS). We conducted a study to examine various factors that characterise SHS and T2DM. Using a cross-sectional design, we recruited 264 people as controls and 241 T2DM patients from January to June 2016. The controls were categorised into high and low SHS based on how they rated on an SHS questionnaire-25 (SHSQ-25). Anthropometric and biochemical parameters: body mass index (BMI); blood pressure (BP); fasting plasma glucose (FPG); glycated haemoglobin (HbA1c); serum lipids [(total cholesterol, triglycerides (TG), high- and low-density lipoprotein-cholesterol (HDL-c and LDL-c)] were measured. The male to female ratio for T2DM and controls were 99:142 and 98:166, respectively, whilst the mean ages were 55.89 and 51.52 years. Compared to controls, T2DM patients had higher FPG (8.96 ± 4.18 vs. 6.08 ± 1.79;
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