Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Health Technology and Informatics | en_US |
| dc.contributor.advisor | Siu, Parco (HTI) | - |
| dc.creator | Pang, Sai Ming Simon | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/9021 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | The relationship of serum growth hormone (GH) and insulin-like growth factor 1 (IGF1) in metabolic syndrome and obese patients : a pathological study | en_US |
| dcterms.abstract | Metabolic Syndrome (MetS) is considered to be a sub‐health condition that presented by several cardiovascular risk factors such as central obesity, high blood pressure, hyperglyceridemia, dyslipidemia and high blood glucose or insulin resistance. (Alberti, Zimmet, Shaw, & Group, 2005) Furthermore, studies have also shown that low level of Growth hormone (GH) and Insulin‐like Growth Factor (IGF‐1) may be linked to metabolic related conditions, as well as in obese people. (Abdul Shakoor & Shalet, 2003; Norbeck, Kittilson, & Sheridan, 2007; Rodriguez, Gaunt, & Day, 2007) Thus, the aim of this research project was to investigate the role of GH and IGF1 in relationship to MetS and obesity. Besides, several definitions of MetS proposed by World Health Organisation (WHO), European Group for study of Insulin Resistance (EGIR), National Cholesterol Education Program's Adult Treatment Panel III (NCEP ATP III), American Association of Clinical Endocrinologists (AACE), and International Diabetes Federation (IDF) were evaluated in this study, while NCEP ATP III Definition was used for classification. Blood samples from 150 Asian subjects were collected and classified into two main groups. The subjects were then firstly categorised into patients with MetS and/ or Obesity, then secondly, into patients with MetS and obese (MSO), MetS and non‐obese (MSNO), non‐ MetS and nonobese (NSNO), and non‐ MetS and obese (NMO). These samples were processed using GH and IGF Human ELISA® kits, and the results were collected and were analysed using 'IBM SPSS Statistics' (IBM SPSS Statistics for Windows, Version 22.0). In this study, promising results were presented showing that serum GH concentration has a direct relationship with people diagnosed with metabolic syndrome and / or obesity, while IGF‐1 concentration does not. For future studies, a larger sample size and an increase of male subjects are recommended. Also, duplicated studies with control are also preferred. | en_US |
| dcterms.extent | 49 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2017 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Metabolic syndrome | en_US |
| dcterms.LCSH | Obesity | en_US |
| dcterms.LCSH | Hormones | en_US |
| dcterms.LCSH | Insulin-like growth factor-binding proteins | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 991021953149503411.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.07 MB | Adobe PDF | View/Open |
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