| Literature DB >> 30066661 |
Noor Safiza Mohamad Nor1, Rashidah Ambak2, Norazian Mohd Zaki2, Nur Shahida Abdul Aziz2, Siew Man Cheong2, Mohamad Aznuddin Abd Razak2, Muslimah Yusof2, Mohamad Hasnan Ahmad2, Azli Baharuddin2, Megat Rusydi Megat Radzi2, Wan Nur Khairunnisa Wan Kozil2, Intan Hafizah Ishak2, Tahir Aris2.
Abstract
BACKGROUND: Obesity is a global health burden in the non-communicable diseases and much efforts have been implemented in the past decade in response to the rise of obesity prevalence among the Malaysian population. These include the development of the national policies, health programmes and research activities. The main aim of the scoping review was to identify obesity research pattern among adults in Malaysia in terms of the scopes, topics and the research designs.Entities:
Keywords: Adult; Malaysia; Obesity; Overweight; Research pattern; Scoping review
Mesh:
Year: 2018 PMID: 30066661 PMCID: PMC6069511 DOI: 10.1186/s12905-018-0590-4
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Fig. 1Conceptual framework on obesity research priorities in Malaysia for 11th Malaysia Plan (2016-2025)
Fig. 2Details of study flow in the different stages of the review
Study characteristics of obesity research among adult in Malaysia (2008-2017)
| Characteristics ( | ||
|---|---|---|
|
| 2008 -2012 | 93 (49.5%) |
| 2013-2017 | 95 (50.5%) | |
|
| Articles among adults | 174 (92.6%) |
| Articles among elderly | 14 (7.4%) | |
|
| Articles of studies by MOH researchers | 14 (7.4%) |
| Articles of studies by non- MOH researchersa | 174 (92.6%) | |
|
| ||
| Observational | Cross sectional | 148 (78.7%) |
| Cohort | 1(0.5%) | |
| Case study | 1 (0.5%) | |
| Experimental | Randomised Controlled Trial | 2 (1.1%) |
| Quasi experimental | 1 (0.5%) | |
| Others (biomarker studies) | 23 (12.3%) | |
| Qualitative | Focus group/ In -depth interview | 3 (1.6%) |
| Methodology/Protocol | Obesity intervention/Cohort | 4 (2.1%) |
| Systematic Review/Narrative review | 5 (2.7%) | |
|
| 50 – 100,000 | |
aNon-MOH : local universities, other ministries and organisations other than the Ministry of Health Malaysia
Findings of the qualitative studies, elderly studies and biomarkers
| No. | Study | Study Design | Sample | Participant Characteristic | Main Findings |
|---|---|---|---|---|---|
| 1. | Abdul Aziz et al. [2016] | Semi-structured face to face in-depth interview | 28 | Age: 18 to 59 years old | • Five main themes associated with obesity problems emerged from the analysis that included ‘personal feelings, beliefs, lifestyles, life issues and effort to reduce weight. |
| 2. | Muda et al. [2013] | Random sampling | 421 | Age: 20 and above | • Character and behaviour are highly regarded in evaluating a person self worth in the society. |
| 3. | Ching et al. [2009] | Focus group | 38 | Age: 20 and above | • Participants perceived themselves as ugly and felt ashamed of their body size. |
| 4. | Suzana et al. [2012] | Cross sectional study | 4746 | Age: 60 and above | • Prevalence of overweight and obesity were slightly higher in women (30.3%, 13.8%) compared to men (29.2%. 7.4%) |
| 5. | Teng et al. [2011] | Randomized controlled study | 25 | Age: 50-70 years | • Fasting calorie restriction (FCR) group reduced their energy intake for about 18% in 12 weeks time |
| 6. | Shahar et al. [2013] | Cross sectional study | 160 | Age: 60 and above | • 42.5% of elderly were at risk of malnutrition |
| 7. | Shahar et al. [2016] | Prospective study | 2322 | Age: 60 and above | • The prevalence of successful aging, usual aging and mild cognitive impairment are 11%, 73% and 16%, respectively. |
| 8. | Apalasamy [2014] | Cross sectional study | 574 | Age: adults | • ADIPOQ rs17366568 gene was significantly associated with risk of obesity. The frequencies of AG and AA genotypes were significantly higher in the obese group (11%) than in the non-obese group (5%). |
| 9. | Apalasamy [2014] | Cross sectional study | 631 | Age: adults | • Resistin levels were not correlated to metabolic parameters such as body weight, waist circumference, body mass index, and lipid parameters. |
| 10. | Chua [2012] | Cross sectional study with convenience sampling | 254 | Age: 21-80 years | • Melanocortin receptor 4 (MC4R) V103I gene variant was not associated with obesity |
Fig. 3Number of publication on obesity research among adults in Malaysia based on the NRPM for 11th Malaysia plan (N=188)