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Table 2 Findings of the qualitative studies, elderly studies and biomarkers

From: An update on obesity research pattern among adults in Malaysia: a scoping review

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

Ethnicity: Malay, Chinese ,Indian

Subpopulation: Female , Housewives

• 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

Ethnicity: Malay Subpopulation: Female, Housewives

• Character and behaviour are highly regarded in evaluating a person self worth in the society.

• Most respondents were aware of their body weight and indicated an intention to lose weight.

3.

Ching et al. [2009]

Focus group

38

Age: 20 and above

Ethnicity: Malay, Iban, Bidayuh.

Subpopulation: 21- women 17-Men

• 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

Ethnicity: Malay, Chinese, Indian, others

Sub population: Elderly

• Prevalence of overweight and obesity were slightly higher in women (30.3%, 13.8%) compared to men (29.2%. 7.4%)

• Malay, Indian ethnicity, higher education level, higher household income, from urban area, and married elderly were predictors of abdominal obesity

5.

Teng et al. [2011]

Randomized controlled study

25

Age: 50-70 years

Ethnicity: Malay

Subpopulation: Elderly

• Fasting calorie restriction (FCR) group reduced their energy intake for about 18% in 12 weeks time

• A significant interaction effect was found in body composition, blood pressure and blood profile in the FCR group

• A significant improvement in total DNA rejoining cells and MDA was observed in FCR group

6.

Shahar et al. [2013]

Cross sectional study

160

Age: 60 and above

Ethinicity: Malay

Subpopulation: elderly in agricultural settlement

• 42.5% of elderly were at risk of malnutrition

• Elderly who were at risk of malnutrition have poorer appetite (19.8% of malmutrition risk), decline in functional independent, and more psychosocial problems (depression)

7.

Shahar et al. [2016]

Prospective study

2322

Age: 60 and above

Ethinicity:

Subpopulation: Elderly in Johor, Selangor, Perak and Kelantan

• 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

Ethnicity: Malay

Subpopulation: 464 UM staff and 208 villegars in Bera, Pahang

• 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

Ethnicity: Malay

Subpopulation: 464 UM staff and 208 villegars in Bera, Pahang

• Resistin levels were not correlated to metabolic parameters such as body weight, waist circumference, body mass index, and lipid parameters.

• RETN SNPs and haplotypes are of apparent functional importance in the regulation of resistin levels but are not correlated with obesity and related markers.

10.

Chua [2012]

Cross sectional study with convenience sampling

254

Age: 21-80 years

Ethnicity: Chinese, Malay, Indian and other ethinicity Subpopulation: adults in Kampar

• Melanocortin receptor 4 (MC4R) V103I gene variant was not associated with obesity