Displaying publications 1 - 20 of 720 in total

  1. Ooi CG, Hew FL
    Family Physician, 2001;11:13-16.
    Overweight and obese adults are at increased risk of both mortality and morbidity, principally from cardiovascular disease and diabetes mellitus. Intentional weight loss of 5-1 0% is associated with substantial benefits. Weight reduction should be encouraged by dietary and behavioural modification initially, with realistic targets set over an initial 6-month period. It must be emphasised that these measures should continue indefinitely. This can be complemented by pharmacological intervention with orlistat, or perhaps sibutramine when available in the near future. Given the important impact environmental and social factors have on the aetiology of obesity, the community at large should effect programmes to encourage healthy lifestyles among the populace. Town and city planners should include readily available recreational and sporting facilities in residential districts, especially in the urban and sub-urban areas. Physical education sessions in schools in both primary and secondary levels should receive more emphasis to encourage the young to make sports and physical exercise a part of life, rather than being seen as a non examinable appendage of the school curriculum. The key to defeating obesity is prevention, and an effort to lose weight once it accumulates, can often be too little, too late.
    Matched MeSH terms: Obesity
  2. WELLS R
    Med J Malaya, 1957 Sep;12(1):386-9.
    PMID: 13492811
    Matched MeSH terms: Obesity/therapy*
  3. Ho JJ
    Med. J. Malaysia, 2012 Apr;67(2):143-4.
    PMID: 22822630
    Matched MeSH terms: Obesity/epidemiology*
  4. Mohd Sidik S, Ahmad R
    Malays J Nutr, 2004 Mar;10(1):13-22.
    PMID: 22691744
    Childhood obesity has been growing at an alarming rate and is the most common nutritional problem among children in developed as well as in developing countries. It is associated with significant morbidity and mortality, including cardiovascular, respiratory, gastrointestinal, endocrine and psychosocial morbidities. This unhealthy trend will progress to adulthood and is expected to lead to huge economic costs in health and social security systems. Among the many factors which contribute to the increasing prevalence of childhood obesity include environment and genetic factors. This paper discusses the aetiology, consequences and necessary interventions for this problem.
    Matched MeSH terms: Obesity*
  5. Shashikiran U, Sudha V, Jayaprakash B
    Med. J. Malaysia, 2004 Mar;59(1):130-3; quiz 134.
    PMID: 15535353
    Matched MeSH terms: Obesity/classification*
  6. Rodo Mohamud Hassan, Regidor-111 Dioso
    Background: In Africa high prevalence of overweight and obesity was found in regions of East Africa (0.3%),
    West Africa (0.7%), Central Africa (0.2%), South Africa (3.8%), and North Africa (12.5%).

    Aims: This meta-analysis aimed to analyze the prevalence of obesity among young adults, aged 18-25 years
    from five African countries.

    Methods: The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were applied to
    search published studies. of the 100 studies published as found in scientific databases from 2010 to 2017, only
    five were selected. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
    checklist was used to eliminate other studies.

    Outcomes: A total of 22,320 obese young adults were analyzed to be prevalent. The obesity among adults in
    SouthAfrica was found to be correlated with less physical activities. In Uganda, the prevalence of obesity is
    683 which relates with their sedentary lifestyle and socio-demography. Among 371 young adults in Nigeria, the
    prevalence of obesity was 5.1% among male and 10% among female related to diet and other consumptions.
    Among 646 adults in Ghana, the prevalence of general obesity was observed to be related to genetics.

    Conclusion: Prevalence of the male gender was 9,509 having a p=0.284 (at 95% C.I.±4,440.87845-
    8,788.87845) with a mean score of 1,251, and a SD= 61,066. While the prevalence of obesity on females was
    10,874 having a p= 0.00019, (at 95% C.I.±3,592.07-6,094.07) with a mean score of 2,174, and SD= 3,375.
    Matched MeSH terms: Obesity*
  7. Mohammed Nawi A, Che Jamaludin FI
    Malays J Med Sci, 2015 Jul-Aug;22(4):47-56.
    PMID: 26715908 MyJurnal
    Co-morbidities in adulthood is a significant problem and is associated with obesity during adolescent.
    Matched MeSH terms: Obesity
  8. Shariff, A.H., Sazlina, S.G., Shamsul, A.S.
    JUMMEC, 2007;10(1):17-20.
    Three urban public primary schools in the district of Petaling, Selangor were surveyed for obesity amongst the schoolchildren and factors related to it. The prevalence of obesity amongst primary schoolchildren, with the mean age of 8.91 years was 9.5%. In addition, it was more prevalent among the boys (p
    Matched MeSH terms: Obesity
  9. Zalbahar N, Najman J, McIntyre HD, Mamun A
    Clin Obes, 2017 Aug;7(4):206-215.
    PMID: 28557382 DOI: 10.1111/cob.12200
    The purpose of this study was to examine the association of parental pre-pregnancy weight and body mass index (BMI) on offspring weight and BMI change from childhood to adulthood. We analysed BMI data from a subsample of parents (n = 1494) from the Mater-University of Queensland Study of Pregnancy cohort that started in the early 1980s in Brisbane, Australia: data were collected at pre-pregnancy and then also for offspring at 5, 14 and 21-year follow-ups. Multiple regression for continuous outcomes and multinomial regression for categorical outcomes were performed. A total of 14.7% of offspring experienced BMI change from normal at 5 years to overweight or obese (OW/OB) at 14 years, 15.3% of normal at 14 years to OW/OB at 21 years and 22.8% from normal at 5 years to OW/OB at 21 years. Overall, the strength of the association of parental BMI with offspring BMI was stronger as offspring become older. Pre-pregnancy parental BMI differentially impacts offspring OW/OB across the life course. For every unit increase in paternal and maternal BMI z-score, offspring BMI z-score increased, on average, by between 0.15% (kg m-2) and 0.24% (kg m-2) throughout all three stages of life when both parents were OW/OB; these associations were stronger than with one parent. Parental pre-pregnancy BMI and OW/OB is a strong predictor of offspring weight and BMI change from early life to adulthood.
    Matched MeSH terms: Obesity*; Pediatric Obesity*
  10. Vasanth Rao VRB, Candasamy M, Bhattamisra SK
    Diabetes Metab Syndr, 2019 05 07;13(3):2112-2120.
    PMID: 31235145 DOI: 10.1016/j.dsx.2019.05.004
    Obesity is a complex disorder that is linked to many coexisting disorders. Recent epidemiological data have suggested that the prevalence of obesity is at an all-time high, growing to be one of the world's biggest problems. There are several mechanisms on how individuals develop obesity which includes genetic and environmental factors. Not only does obesity contribute to other health issues but it also greatly affects the quality of life, physical ability, mental strength and imposes a huge burden in terms of healthcare costs. Along with that, obesity is associated with the risk of mortality and has been shown to reduce the median survival rate. Obesity is basically when the body is not able to balance energy intake and output. When energy intake exceeds energy expenditure, excess calories will be stored as fat leading to weight gain and eventually obesity. The therapeutic market for treating obesity is composed of many different interventions from lifestyle intervention, surgical procedures to pharmacotherapeutic approaches. All of these interventions have their respective benefits and disadvantages and are specifically prescribed to a patient based on the severity of their obesity as well as the existence of other health conditions. This review discusses the genetic and environmental causes of obesity along with the recent developments in anti-obesity therapies.
    Matched MeSH terms: Obesity/genetics*; Obesity/epidemiology; Obesity/prevention & control*
  11. Kasim NB, Huri HZ, Vethakkan SR, Ibrahim L, Abdullah BM
    Biomark Med, 2016 Apr;10(4):403-15.
    PMID: 26999420 DOI: 10.2217/bmm-2015-0037
    Generally, obese and overweight individuals display higher free fatty acid levels, which stimulate insulin resistance. The combination of overweight or obesity with insulin resistance can trigger Type 2 diabetes mellitus (T2DM) and are primary contributing factors to the development of uncontrolled T2DM. Genetic polymorphisms also play an important role as they can impact a population's susceptibility to becoming overweight or obese and developing related chronic complications, such as uncontrolled T2DM. This review specifically examines the genetic polymorphisms associated with overweight and obesity in patients with uncontrolled T2DM. Particularly, gene polymorphisms in ADIPOQ (rs1501299 and rs17300539), LepR (rs1137101 and rs1045895), IRS2 (rs1805092), GRB14 (rs10195252 and rs3923113) and PPARG (rs1801282) have been associated with overweight and obesity in uncontrolled T2DM.
    Matched MeSH terms: Obesity*
  12. Kheirollahpour M, Shohaimi S
    ScientificWorldJournal, 2014;2014:512148.
    PMID: 25097878 DOI: 10.1155/2014/512148
    The main objective of this study is to identify and develop a comprehensive model which estimates and evaluates the overall relations among the factors that lead to weight gain in children by using structural equation modeling. The proposed models in this study explore the connection among the socioeconomic status of the family, parental feeding practice, and physical activity. Six structural models were tested to identify the direct and indirect relationship between the socioeconomic status and parental feeding practice general level of physical activity, and weight status of children. Finally, a comprehensive model was devised to show how these factors relate to each other as well as to the body mass index (BMI) of the children simultaneously. Concerning the methodology of the current study, confirmatory factor analysis (CFA) was applied to reveal the hidden (secondary) effect of socioeconomic factors on feeding practice and ultimately on the weight status of the children and also to determine the degree of model fit. The comprehensive structural model tested in this study suggested that there are significant direct and indirect relationships among variables of interest. Moreover, the results suggest that parental feeding practice and physical activity are mediators in the structural model.
    Matched MeSH terms: Obesity/epidemiology*
  13. Khan S, Saub R, Vaithilingam RD, Safii SH, Vethakkan SR, Baharuddin NA
    BMC Oral Health, 2015;15:114.
    PMID: 26419358 DOI: 10.1186/s12903-015-0098-3
    Chronic periodontitis (CP) is a global public health issue. Studies have suggested CP could be linked to obesity due to their similar pathophysiological pathway. The aim of this study is to determine the prevalence of CP and to assess the predictors for CP among the obese Malaysian population.
    METHODS: This is a cross-sectional study on obese participants. Obesity is defined as an individual who has Body Mass Index (BMI) ≥ 27.5 kg/m(2). A convenience sampling method was used. A total of 165 paricipants were recruited. This study involved answering questionnaires, obtaining biometric and clinical measurements of Visible plaque index (VPI), Gingival bleeding index (GBI), Probing pocket depth (PPD) and Clinical attachment loss (CAL). Data analysis was carried out using SPSS statistical software (SPSS Inc., version 20, US).
    RESULTS: A total of 165 participants; 67 (40.6%) males and 98 (59.4%) females participated in the study. Mean age of the participants was 43.9 (± 8.9). The prevalence of CP among the obese population was found to be 73.9%. Out of this, 43 and 55% were categorised as moderate and severe CP respectively. Around 64% of participants had sites with CAL ≥ 4 mm and participants with sites with PPD ≥ 4 mm were reported to be 25%. Around 83% of the participants had sites with GBI ≥ 30 and 92% of participants had sites with VPI ≥ 20%. GBI and VPI were found to have significantly higher odds for CP.
    CONCLUSION: Prevalence of CP was high among obese Malaysians. GBI and VPI were potential predictors for CP in this obese population.
    Matched MeSH terms: Obesity*
  14. Nor Hanipah Z, Schauer PR
    Obes Surg, 2018 10;28(10):3310-3311.
    PMID: 30094576 DOI: 10.1007/s11695-018-3457-8
    Matched MeSH terms: Obesity, Morbid/surgery*
  15. Cheah MH, Kam PC
    Anaesthesia, 2005 Oct;60(10):1009-21.
    PMID: 16179047 DOI: 10.1111/j.1365-2044.2005.04229.x
    Obesity is becoming a major public health problem throughout the world. It is now the second leading cause of death in the United States and is associated with significant, potentially life-threatening co-morbidities. Significant advances in the understanding of the physiology of body weight regulation and the pathogenesis of obesity have been achieved. A better understanding of the physiology of appetite control has enabled advances in the medical and surgical treatment of obesity. Visceral or abdominal obesity is associated with an increased risk of cardiovascular disease and type 2 diabetes. Various drugs are used in the treatment of mild obesity but they are associated with adverse effects. Surgery has become an essential part of the treatment of morbid obesity, notwithstanding the potential adverse events that accompany it. An appreciation of these problems is essential to the anaesthetist and intensivist involved in the management of this group of patients.
    Matched MeSH terms: Obesity/complications; Obesity/physiopathology; Obesity/therapy*; Obesity, Morbid/surgery
  16. Chu WL, Phang SM
    Mar Drugs, 2016 Dec 07;14(12).
    PMID: 27941599 DOI: 10.3390/md14120222
    Obesity is a major epidemic that poses a worldwide threat to human health, as it is also associated with metabolic syndrome, type 2 diabetes and cardiovascular disease. Therapeutic intervention through weight loss drugs, accompanied by diet and exercise, is one of the options for the treatment and management of obesity. However, the only approved anti-obesity drug currently available in the market is orlistat, a synthetic inhibitor of pancreatic lipase. Other anti-obesity drugs are still being evaluated at different stages of clinical trials, while some have been withdrawn due to their severe adverse effects. Thus, there is a need to look for new anti-obesity agents, especially from biological sources. Marine algae, especially seaweeds are a promising source of anti-obesity agents. Four major bioactive compounds from seaweeds which have the potential as anti-obesity agents are fucoxanthin, alginates, fucoidans and phlorotannins. The anti-obesity effects of such compounds are due to several mechanisms, which include the inhibition of lipid absorption and metabolism (e.g., fucoxanthin and fucoidans), effect on satiety feeling (e.g., alginates), and inhibition of adipocyte differentiation (e.g., fucoxanthin). Further studies, especially testing bioactive compounds in long-term human trials are required before any new anti-obesity drugs based on algal products can be developed.
    Matched MeSH terms: Obesity/drug therapy*; Anti-Obesity Agents/pharmacology; Anti-Obesity Agents/therapeutic use*; Anti-Obesity Agents/chemistry
  17. Yu D, Zheng W, Johansson M, Lan Q, Park Y, White E, et al.
    J. Natl. Cancer Inst., 2018 08 01;110(8):831-842.
    PMID: 29518203 DOI: 10.1093/jnci/djx286
    Background: The obesity-lung cancer association remains controversial. Concerns over confounding by smoking and reverse causation persist. The influence of obesity type and effect modifications by race/ethnicity and tumor histology are largely unexplored.

    Methods: We examined associations of body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) with lung cancer risk among 1.6 million Americans, Europeans, and Asians. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for potential confounders. Analyses for WC/WHR were further adjusted for BMI. The joint effect of BMI and WC/WHR was also evaluated.

    Results: During an average 12-year follow-up, 23 732 incident lung cancer cases were identified. While BMI was generally associated with a decreased risk, WC and WHR were associated with increased risk after controlling for BMI. These associations were seen 10 years before diagnosis in smokers and never smokers, were strongest among blacks, and varied by histological type. After excluding the first five years of follow-up, hazard ratios per 5 kg/m2 increase in BMI were 0.95 (95% CI = 0.90 to 1.00), 0.92 (95% CI = 0.89 to 0.95), and 0.89 (95% CI = 0.86 to 0.91) in never, former, and current smokers, and 0.86 (95% CI = 0.84 to 0.89), 0.94 (95% CI = 0.90 to 0.99), and 1.09 (95% CI = 1.03 to 1.15) for adenocarcinoma, squamous cell, and small cell carcinoma, respectively. Hazard ratios per 10 cm increase in WC were 1.09 (95% CI = 1.00 to 1.18), 1.12 (95% CI = 1.07 to 1.17), and 1.11 (95% CI = 1.07 to 1.16) in never, former, and current smokers, and 1.06 (95% CI = 1.01 to 1.12), 1.20 (95% CI = 1.12 to 1.29), and 1.13 (95% CI = 1.04 to 1.23) for adenocarcinoma, squamous cell, and small cell carcinoma, respectively. Participants with BMIs of less than 25 kg/m2 but high WC had a 40% higher risk (HR = 1.40, 95% CI = 1.26 to 1.56) than those with BMIs of 25 kg/m2 or greater but normal/moderate WC.

    Conclusions: The inverse BMI-lung cancer association is not entirely due to smoking and reverse causation. Central obesity, particularly concurrent with low BMI, may help identify high-risk populations for lung cancer.

    Matched MeSH terms: Obesity/complications; Obesity/epidemiology*; Obesity, Abdominal/complications; Obesity, Abdominal/epidemiology*
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