Displaying publications 81 - 100 of 225 in total

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  1. Lim TO, Bakri R, Morad Z, Hamid MA
    Diabetes Care, 2002 Dec;25(12):2212-7.
    PMID: 12453963 DOI: 10.2337/diacare.25.12.2212
    OBJECTIVE: Bimodality in blood glucose (BG) distribution has been demonstrated in several populations with a high prevalence of diabetes and obesity. However, other population studies had not found bimodality, thus casting doubt on its universality. We address this question in four ethnic populations-namely Malay, Chinese, Indian, and the indigenous people of Borneo.

    RESEARCH DESIGN AND METHODS: A national health survey was conducted in Malaysia in 1996. A total of 18,397 subjects aged > or =30 years had post-challenge BG measurements taken. To test whether BG was consistent with a bimodal distribution, we fitted unimodal normal and skewed distribution as well a mixture of two normal distributions to the data by age and ethnic groups.

    RESULTS: Age-specific prevalence of diabetes varied from 1.3 to 26.3%. In all ethnic/age groups, the bimodal model fitted the log BG data better (likelihood ratio tests, all P values <0.001).

    CONCLUSIONS: Bimodality in BG distribution is demonstrable even in populations with a very low prevalence of diabetes and obesity. Previous studies that found unimodality had failed to detect the second mode because of inadequate sample size, bias due to treatment of subjects with known diabetes, and inclusion of subjects with type 1 diabetes in the sample. Bimodality implies that diabetes is a distinct entity rather than an arbitrarily defined extreme end of a continuously distributed measurement.
    Matched MeSH terms: Obesity/epidemiology
  2. Daud A, Shahadan SZ
    Clin Nurs Res, 2019 02;28(2):202-216.
    PMID: 28782381 DOI: 10.1177/1054773817724041
    Cardiometabolic risk (CMR) is a cluster of risk factors that may predict the occurrence of cardiovascular diseases and diabetes mellitus. This study investigated the association between CMR with body mass index (BMI) among obese adults. The CMRs, including waist circumference, systolic and diastolic blood pressure, blood glucose, total cholesterol, low-density and high-density lipoprotein, triglyceride, and high-sensitivity C-reactive protein (hs-CRP) level, were quantified in 82 obese adults. The findings indicate the highest correlation coefficient value ( r) was .618 between BMI and waist circumference; a weak correlation between mass index and systolic ( r = .276) and diastolic ( r = .311) blood pressure and hs-CRP ( r = .384); and a very weak correlation between BMI level and fasting blood glucose ( r = .069), total cholesterol ( r = .014), low-density lipoprotein (.013), high-density lipoprotein (-.154), and triglyceride (.173). Future strategies for CMR reduction among obese adults should focus on waist circumference and hs-CRP level.
    Matched MeSH terms: Obesity/epidemiology
  3. Muniandy ND, Allotey PA, Soyiri IN, Reidpath DD
    BMJ Open, 2016 11 15;6(11):e011635.
    PMID: 27852704 DOI: 10.1136/bmjopen-2016-011635
    INTRODUCTION: The rise in the prevalence of childhood obesity worldwide calls for an intervention earlier in the life cycle. Studies show that nutrition during early infancy may contribute to later obesity. Hence, this study is designed to determine if the variation in complementary feeding practices poses a risk for the development of obesity later in life. A mixed methods approach will be used in conducting this study.

    METHODS AND ANALYSIS: The target participants are infants born from January to June 2015 in the South East Asia Community Observatory (SEACO) platform. The SEACO is a Health and Demographic Surveillance System (HDSS) that is established in the District of Segamat in the state of Johor, Malaysia. For the quantitative strand, the sociodemographic data, feeding practices, anthropometry measurement and total nutrient intake will be assessed. The assessment will occur around the time complementary feeding is expected to start (7 Months) and again at 12 months. A 24-hour diet recall and a 2-day food diary will be used to assess the food intake. For the qualitative strand, selected mothers will be interviewed to explore their infant feeding practices and factors that influence their practices and food choices in detail.

    ETHICS AND DISSEMINATION: Ethical clearance for this study was sought through the Monash University Human Research and Ethics Committee (application number CF14/3850-2014002010). Subsequently, the findings of this study will be disseminated through peer-reviewed journals, national and international conferences.

    Matched MeSH terms: Pediatric Obesity/epidemiology*
  4. Yeo WZ, Lim SP, Say YH
    Asia Pac J Clin Nutr, 2017 12 10;27(1):99-106.
    PMID: 29222886 DOI: 10.6133/apjcn.032017.14
    BACKGROUND AND OBJECTIVES: The counts of cariogenic bacteria lactobacilli and mutans streptococci have been studied and correlated with sugar intake. This study was to investigate the association between salivary lactobacilli and mutans streptococci counts with sweet food eating behavior and sweet sensitivity among 120 Malaysian women (101 ethnic Chinese, 19 ethnic Indians), while taking into account anthropometric and menstruation variables.

    METHODS AND STUDY DESIGN: Demographics, anthropometric measurements and menstrual history were taken. Hedonic preference, intake frequency of a list of sweet foods, intensity perception and pleasantness ratings of sweet stimuli were assessed. Saliva was collected for lactobacilli and mutans streptococci culture.

    RESULTS: We found that centrally obese subjects (high waist circumference and waist-hip ratio) had significantly higher salivary lactobacilli and mutans streptococci counts (all p<0.05), while overweight and high total body fat subjects had significantly higher salivary mutans streptococci counts (p<0.001). The sweetness intensity perception of chocolate malt drinks was significantly lower in women who were in their pre-menstrual (post-ovulation) phase. However, menstruation variables (menstrual phases, regularity and pre-menstrual syndromes) did not play a role in determining compulsive eating, sweets/chocolate craving and salivary lactobacilli and mutans streptococci counts.

    CONCLUSIONS: Taken together, salivary lactobacilli and mutans streptococci counts of the Malaysian women are associated with central obesity, but not sweet food eating behaviour, sweet sensitivity and menstruation variables. Salivary microbiome analysis could be useful as a potential diagnostic indicator of diseases such as obesity.

    Matched MeSH terms: Obesity/epidemiology*
  5. Ellulu MS, Jalambo MO
    Kathmandu Univ Med J (KUMJ), 2018 2 16;15(57):91-93.
    PMID: 29446373
    Urbanization has provided experimental settings for testing the interactive relationship between genetic background and changes in lifestyle and dietary patterns. The concept of gene-environment interaction was described by epidemic of obesity along with urbanization. Genome-wide association has identified several genes such as melanocortin-4 receptor that associates with environmental influences of obesity. Gene environment (GxE) interaction refers to modification by an environmental factor of the effect of a genetic variant on a phenotypic trait. GxE interactions can serve to modulate the adverse effects of a risk allele, or can exacerbate the genotype-phenotype relationship and increase risk.
    Matched MeSH terms: Obesity/epidemiology
  6. Mohanraj J, D'Souza UJA, Fong SY, Karkada IR, Jaiprakash H
    Int J Environ Res Public Health, 2022 Jul 21;19(14).
    PMID: 35886710 DOI: 10.3390/ijerph19148862
    Relative leptin resistance in childhood to absolute leptin resistance in maturity suggests sleep, eating behaviour, and the psychological state as probable causes. The current body of research provides inconclusive evidence linking G2548A and Q223R to obesity. Furthermore, we could find very little data that have observed the association between the environment and gene polymorphism, especially in the multiethnic population that exists in Malaysia. This study searched for a possible link between sleeping habits, eating behaviour, and stress indicators with plasma leptin and its genetic variation in young adult Malaysian healthcare students. The study involved 185 first- and second-year medical and dental students from a healthcare university. Polymerase Chain Reaction−Restriction Fragment Length Polymorphism(PCR-RFLP) determined the genotype, Enzyme Linked Immunoabsorbant Assay (ELISA) tested the serum leptin, and a self-administered questionnaire evaluated sleep, eating behaviour, and psychological condition. Gender and ethnicity are linked to fasting plasma leptin levels (p < 0.001). Plasma leptin also affects stress, anxiety, and sadness. Leptin (LEP) and Leptin Receptor (LEPR) polymorphisms were not associated with BMI, plasma leptin, sleep, eating behaviour, or psychological state. Young adult Malaysian Indians were obese and overweight, while Chinese were underweight. These findings imply overweight and obese participants were in stage I of leptin resistance and lifestyle change or leptin therapy could prevent them from becoming cripplingly obese as they age.
    Matched MeSH terms: Obesity/epidemiology
  7. Termizy HM, Mafauzy M
    Singapore Med J, 2009 Apr;50(4):390-4.
    PMID: 19421683
    INTRODUCTION: The increased prevalence of metabolic syndrome worldwide is closely related to the rising obesity epidemic. The objectives of the study were to determine the prevalence and identify the associated and prognostic factors that influence the risk of metabolic syndrome among obese patients attending the Obesity Clinic at Hospital Universiti Sains Malaysia.
    METHODS: A study was conducted involving 102 obese persons who attended the Obesity Clinic from January 1 to December 31, 2005. Metabolic syndrome was defined according to the International Diabetes Federation criteria.
    RESULTS: The overall prevalence of metabolic syndrome among obese patients was 40.2 percent. The prevalence was higher in females (43.7 percent) than in males (32.3 percent). The prevalence of metabolic syndrome was noted to increase with increasing body mass index class, from class 1 to class 2. However, the prevalence was lower in obesity class 3. The prevalence of metabolic comorbidities of raised blood pressure, reduced high density lipoprotein, high triglyceride and raised fasting blood glucose was 42, 40, 36 and 17 percent, respectively. A quarter of obese patients in this study had no other comorbidity. Based on logistic regression multivariable analysis, age was the only significant associated factor that influenced the risk of having metabolic syndrome.
    CONCLUSION: The prevalence of metabolic syndrome was high and the highest comorbidity was high blood pressure. Age was the only significant risk factor of having this syndrome.
    Matched MeSH terms: Obesity/epidemiology*
  8. Boo NY, Chia GJ, Wong LC, Chew RM, Chong W, Loo RC
    Singapore Med J, 2010 Feb;51(2):126-32.
    PMID: 20358151
    INTRODUCTION: This study aimed to determine the prevalence of obesity among medical students and its relationship with their dietary intake and physical activities.
    METHODS:This observational study was carried out on 240 medical students during the clinical phase of their medical course in a private medical school. Their body weight and height were measured, and a standardised questionnaire was used to collect information on their physical activities and dietary intake.
    RESULTS: The median body weight of the participants was 59.0 kg (interquartile range: 51.3-66.8), the mean body height was 166.1 cm (standard deviation [SD] 8.5 cm), and the mean body mass index (BMI) was 21.8 kg/m2 (SD 3.4 kg/m2). Based on the World Health Organization BMI cut-offs for the Asian population, 30.1 percent (n is equal to 72) of the students were overweight or obese, with a BMI that was equal to or greater than 23.0 kg/m2. Logistic regression analysis showed that, after controlling for various potential confounders, the only significant risk factors associated with overweight/obesity among these students were: male gender (adjusted odds ratio [OR] 2.1; 95 percent confidence intervals [CI] of 1.1 and 4.1; p is equal to 0.03), Malay ethnic group (adjusted OR 2.4; 95 percent CI 1.0 and 5.7; p is equal to 0.04), Indian ethnic group (adjusted OR 3.6; 95 percent CI 1.5 and 8.9; p is equal to 0.005), and the number of soft drinks consumed per week (adjusted OR 1.3; 95 percent CI 1.0 and 1.5; p is equal to 0.02). Skipping breakfast, the frequency of physical exercise per week, the number of hours of sleep per day, and eating noodles or roti canai (a type of Malaysian pancake) for breakfast were not significant risk factors.
    CONCLUSION: Obesity remains a common problem among medical students in their clinical years.
    Matched MeSH terms: Obesity/epidemiology*
  9. Chia YC, Ching SM, Ooi PB, Beh HC, Chew MT, Chung FFL, et al.
    PLoS One, 2023;18(1):e0280483.
    PMID: 36649290 DOI: 10.1371/journal.pone.0280483
    Most studies reporting prevalence of obesity use actual weight and height measurements. Self-reported weight and height have been used in epidemiological studies as they have been shown to be reliable, convenient, and inexpensive alternatives to actual measurements. However, the accuracy of self-reported weight and height might vary in different regions because of the difference in health awareness and social influences. This study aims to determine the accuracy and reliability of self-reported weight and height compared to actual measured weight and height among adults in Malaysia. This was a cross-sectional study conducted at the community level during blood pressure screening campaigns. Participants self-reported their weight and height in a questionnaire survey. Their weight and height were validated using measurements by researchers on the same setting. Body mass index (BMI) was defined as underweight (<18.5kg/m2), normal (18.5-22.9 kg/m2), overweight (23-27.4 kg/m2) and obesity (≥27.5 kg/m2). Bland-Altman analysis, intraclass correlation coefficients and weighted Kappa statistics were used to assess the degree of agreement between self-reported and measured weight and height. A total of 2781 participants were recruited in this study. The difference between the mean self-reported and measured weight and height were 0.4 kg and 0.4 cm respectively. Weighted Kappa statistics analysis showed that there was a substantial agreement between the BMI classifications derived from self-reported and actual measurement (ҡ = 0.920, p<0.001). There was no marked difference in the sensitivity and specificity of self-reported BMI among Malaysian adults by gender. We observed substantial agreement between self-reported and measured body weight and height within a sample of Malaysian adults. While self-reported body weight showed weaker agreement with actual measurements particularly for obese and overweight individuals, BMI values derived from self-reported weight and height were accurate for 88.53% of the participants. We thus conclude that self-reported height and weight measures may be useful for tracking and estimating population trends amongst Malaysian adults.
    Matched MeSH terms: Obesity/epidemiology
  10. AlTamimi JZ, AlFaris NA, Alshwaiyat NM, Alkhalidy H, AlKehayez NM, Alsemari MA, et al.
    Medicine (Baltimore), 2023 Apr 14;102(15):e33555.
    PMID: 37058044 DOI: 10.1097/MD.0000000000033555
    Adults are increasingly eating fast-food, which is connected to adverse health outcomes such as obesity and chronic diseases. This work was carried out to study the prevalence of fast-food intake among a multi-ethnic population of middle-aged men and its connection with sociodemographic factors and obesity. This cross-sectional study enrolled 1800 middle-aged men from Riyadh, Kingdom of Saudi Arabia. A valid and reliable questionnaire was used to assess participants fast-food intake frequency. Fast-food was consumed weekly by 87.8% of participants and daily by 45.6% of participants. The nationality of participants was determined as a predictor of fast-food intake. The highest and lowest prevalence of weekly fast-food intake was reported among Turkish (99.6%) and Sudanese (48.3%) participants. The highest and lowest daily intake rates were reported among participants from the Philippines (85.9%) and Bangladesh (10.0%). Another factor predicting fast-food intake was obesity. Obese participants had a significantly higher odds ratio (OR) of weekly (OR = 5.83, P
    Matched MeSH terms: Obesity/epidemiology
  11. Cheah KJ, Cheah LJ
    Nutr J, 2023 Oct 23;22(1):52.
    PMID: 37872544 DOI: 10.1186/s12937-023-00880-7
    BACKGROUND: Protein supplements have been widely used among those who are struggling with sarcopenic obesity among older adults. However, despite their popularity, there is still a lack of concrete evidence on both the potential benefits and side effects of protein supplementation and exercise on sarcopenic obesity (SO).

    OBJECTIVE: Thus, we aimed to determine the impacts of protein supplementation and exercise in older adults with sarcopenic obesity.

    METHOD: A systematic database search was conducted for randomised controlled trials, quasi experimental study and pre-post study design addressing the effects of protein supplementation in improving sarcopenic obesity among older adults. This scoping review was conducted based on PRISMA-Scr guidelines across PubMed, Embase, Web of Science and Cochrane Library databases. To assess record eligibility, two independent reviewers performed a rigorous systematic screening process.

    RESULTS: Of the 1,811 citations identified, 7 papers met the inclusion criteria. Six studies were randomised controlled trials and one study was a pre-post test study design. The majority of studies discussed the use of both protein supplements and exercise training. The included studies prescribed protein intake ranging from 1.0 to 1.8 g/kg/BW/day for the intervention group, while the duration of exercise performed ranged from 2 to 3 times per week, with each session lasting for 1 hour. Whey protein supplementation has been shown to be effective in improving sarcopenic conditions and weight status in SO individuals. The combination of exercise training especially resistance training and the used of protein supplement provided additional benefits in terms of lean muscle mass as well as biomarkers. The study also revealed a lack of consistency in exercise design among interventions for sarcopenic obesity.

    CONCLUSION: Overall, it appears to be a promising option for SO individuals to improve their sarcopenic condition and weight status through the combination of resistance exercise and whey protein supplementation. However, it also highlights the need for caution when it comes to high amounts of protein intake prescription. Future research is warranted to investigate the optimal exercise design for this population, given the limited research conducted in this specific area.

    Matched MeSH terms: Obesity/epidemiology
  12. Borhanuddin B, Ahmad N, Shah SA, Murad NAA, Zakaria SZS, Kamaruddin MA, et al.
    Int Health, 2018 Sep 01;10(5):382-390.
    PMID: 29462329 DOI: 10.1093/inthealth/ihx075
    BACKGROUND: The investigation of risk factors of cardiovascular disease (e.g., major endocrine, nutritional and metabolic diseases) across job sectors is useful for targeted public health intervention. This study examined the occurrence of type 2 diabetes mellitus (T2DM), hypercholesterolemia and obesity in 21 job sectors in the general population.

    METHODS: A baseline cross-sectional analysis of the Malaysian Cohort was conducted, which included 105 391 adults. Multiple logistic regression analyses were conducted for these three diseases across 20 job sectors compared with the unemployed/homemaker sector.

    RESULTS: The prevalence of T2DM, hypercholesterolemia and obesity was 16.7%, 38.8% and 33.3%, respectively. The Accommodation & Food Service Activities and Transportation & Storage sectors had significantly higher odds for T2DM (adjusted [adj.] prevalence odds ratio [POR] 1.18, p=0.007 and adj. POR 1.15, p=0.008, respectively). No job sector had significantly higher odds for hypercholesterolemia compared with the unemployed/homemaker sector. Only the Accommodation & Food Service Activities sector had significantly higher odds for obesity (adj. POR 1.17, p≤0.001).

    CONCLUSIONS: Many job sectors were significantly associated with lower odds of having these three diseases when compared with the unemployed/homemaker sector. These differing associations between diverse job sectors and these diseases are important for public health intervention initiatives and prioritization.

    Matched MeSH terms: Obesity/epidemiology*
  13. Ahmad A, Zulaily N, Abdul Manan NS, Shahril MR, Syed Saadun Tarek Wafa SW, Mohd Amin R, et al.
    BMC Public Health, 2017 01 05;17(1):9.
    PMID: 28056904 DOI: 10.1186/s12889-016-3911-2
    BACKGROUND: Body weight is highly associated with overall health status. Being severely thin or obese may impose the risk of many health problems. Early detection of body mass index (BMI) status may help to reduce the associated comorbidities. Although many studies in the literature have investigated the BMI of school adolescents in Malaysia, the data on status of body weight among school adolescents in suburban states like Terengganu is limited. This study aimed to describe the body weight status of the whole population of school adolescents in all seven districts in Terengganu, Malaysia.

    METHODS: Using a cross-sectional study design, body weight and height were measured, and BMI was calculated and classified using WHO BMI-for-age Z-score. Data was obtained using the National Fitness Standard (SEGAK) assessment, which was uploaded in a specific Health Monitoring System (HEMS).

    RESULTS: From a total of 62,567 school adolescents, 50.7% were boys and 49.3% were girls. Girls had significantly higher BMI than boys in age groups of 13 to 15 and 16 to 17 years old. Among boys and girls, there were significant differences in mean BMI of school adolescents between rural and urban school locations in all age groups (p 

    Matched MeSH terms: Pediatric Obesity/epidemiology*
  14. Partap U, Young EH, Allotey P, Sandhu MS, Reidpath DD
    J Pediatr, 2017 Nov;190:63-68.e1.
    PMID: 29144273 DOI: 10.1016/j.jpeds.2017.07.049
    OBJECTIVE: To assess the prevalence of child underweight, overweight, and obesity in a Malaysian population according to 3 international references because classification of anthropometric status may differ according to the reference used to express body mass index (BMI).

    STUDY DESIGN: We assessed data from 6414 children aged 6-18 years, collected by the South East Asia Community Observatory. Child underweight, overweight, and obesity were expressed according to 3 internationally used BMI references: World Health Organization 2007, International Obesity Task Force 2012, and Centers for Disease Control and Prevention 2000. We assessed agreement in classification of anthropometric status among the references using Cohen's kappa statistic and estimated underweight, overweight, and obesity prevalence according to each reference using mixed effects Poisson regression.

    RESULTS: There was poor to moderate agreement between references when classifying underweight, but generally good agreement when classifying overweight and obesity. Underweight, overweight, and obesity prevalence estimates generated using the 3 references were notably inconsistent. Overweight and obesity prevalence estimates were higher using the World Health Organization reference vs the other 2, and underweight prevalence was up to 8.5% higher and obesity prevalence was about 4% lower when using the International Obesity Task Force reference.

    CONCLUSIONS: The choice of reference to express BMI may influence conclusions about child anthropometric status and malnutrition prevalence. This has implications regarding strategies for clinical management and public health interventions.

    Matched MeSH terms: Pediatric Obesity/epidemiology*
  15. Moy FM, Greenwood DC, Cade JE
    BMJ Open, 2018 Sep 28;8(9):e022599.
    PMID: 30269068 DOI: 10.1136/bmjopen-2018-022599
    OBJECTIVES: Breast cancer is associated with overweight and obesity after menopause. However, clothing size as a proxy of adiposity in predicting postmenopausal breast cancer is not widely studied. We aimed to explore the relationships between postmenopausal breast cancer risk with adipose indicators (including clothing sizes) and weight change over adulthood.

    DESIGN: Prospective cohort study.

    SETTING: England, Wales and Scotland.

    PARTICIPANTS: 17 781 postmenopausal women from the UK Women's Cohort Study.

    PRIMARY OUTCOME MEASURE: Incident cases of malignant breast cancers (International Classification of Diseases (ICD) 9 code 174 and ICD 10 code C50).

    RESULTS: From 282 277 person-years follow-up, there were 946 incident breast cancer cases with an incidence rate of 3.35 per 1000 women. Body mass index (HR: 1.04; 95% CI: 1.02 to 1.07), blouse size (HR: 1.10; 1.03 to 1.18), waist circumference (HR: 1.07; 1.01 to 1.14) and skirt size (HR: 1.14;1.06 to 1.22) had positive associations with postmenopausal breast cancer after adjustment for potential confounders. Increased weight over adulthood (HR: 1.02; 1.01 to 1.03) was also associated with increased risk for postmenopausal breast cancer.

    CONCLUSIONS: Blouse and skirt sizes can be used as adipose indicators in predicting postmenopausal breast cancer. Maintaining healthy body weight over adulthood is an effective measure in the prevention of postmenopausal breast cancer.

    Matched MeSH terms: Obesity/epidemiology*
  16. Mohd Zaki NA, Appannah G, Mohamad Nor NS, Omar A, Fazliana M, Ambak R, et al.
    BMC Womens Health, 2018 07 19;18(Suppl 1):110.
    PMID: 30066638 DOI: 10.1186/s12905-018-0595-z
    BACKGROUND: The prevalence of overweight and obesity among Malaysian women remained high over the past three decades. Collaboration with existing community at-risk may be feasible for wide-scale prevention of overweight and obesity in the country. The aims of this study were to examine the impact of community-based lifestyle intervention among overweight and obese women on their anthropometric and body composition changes as compared to the usual care group.

    METHODS: This was a quasi-experimental study conducted in low-cost flats in Kuala Lumpur, Malaysia. A total of 255 overweight and obesity individuals aged between 18 to 59 years old were assigned to either the lifestyle intervention group (n = 169) or the usual care group (n = 146) over a period of 6 months. Individuals in the intervention group received 6 individual lifestyle counselling comprised of physical activity, diet counselling and self-monitoring components aimed to achieve at least 5% weight loss while individuals in the usual care group obtained six sessions of health care seminars from health care providers. These individuals were then followed-up for another 6 months without any intervention as part of maintenance period.

    RESULTS: An intention-to-treat analysis of between-groups at 6-month of intervention (β, 95% CI) revealed greater changes in weight among intervention individuals' (- 1.09 kg vs. -0.99; p  0.05). Individuals in the intervention group showed a significant increase for skeletal muscle mass (0.13 kg) than those individuals in the control group (- 0.37 kg), p = 0.033, throughout the study period.

    CONCLUSION: This study provides evidence that an overweight and obesity prevention program can be implemented in a community setting, with some reduction of several anthropometric and body composition parameters.

    Matched MeSH terms: Obesity/epidemiology*
  17. Chan YY, Lim KK, Lim KH, Teh CH, Kee CC, Cheong SM, et al.
    BMC Public Health, 2017 Sep 21;17(1):733.
    PMID: 28934939 DOI: 10.1186/s12889-017-4772-z
    BACKGROUND: Overweight and obesity are growing health problems both worldwide and in Malaysia due to such lifestyle changes as decreased physical activity (PA), increased sedentary behavior and unhealthy eating habits. This study examined the levels and patterns of PA among normal-weight and overweight/obese adults and to investigate the association between PA level and overweight/obesity in Malaysian adults.

    METHODS: This study used data from the 2015 National Health and Morbidity Survey (NHMS), a nationwide cross-sectional survey that implemented a two-stage stratified random sampling design. Respondents aged 18 years and above (n = 17,261) were included in the analysis. The short version of International Physical Activity Questionnaire (IPAQ) was administered to assess the respondents' PA levels. The respondents' height and weight were objectively measured and body mass index (BMI) was calculated. The respondents were categorized according to BMI as either normal-weight (18.5-24.9 kg/m2) or overweight/obese (≥ 25 kg/m2). Descriptive and complex sample logistic regression analyses were employed as appropriate.

    RESULTS: Overall, approximately 1 in 2 respondents (51.2%) were overweight/obese, even though the majority (69.0%) reporting at least a moderate level of PA (total PA ≥ 10 MET-hours/week). In both normal-weight and overweight/obese groups, a significantly higher prevalence of high PA (total PA ≥ 50 MET-hours/week) was observed among men than women (p 

    Matched MeSH terms: Obesity/epidemiology*
  18. Partap U, Young EH, Allotey P, Sandhu MS, Reidpath DD
    Int J Epidemiol, 2017 Oct 01;46(5):1523-1532.
    PMID: 29106558 DOI: 10.1093/ije/dyx114
    BACKGROUND: There is little evidence regarding risk factors for child obesity in Asian populations, including the role of parental anthropometric and cardiometabolic risk factors. We examined the relation between parental risk factors and child obesity in a Malaysian population.

    METHODS: We used data from health and demographic surveillance conducted by the South East Asia Community Observatory in Segamat, Malaysia. Analyses included 9207 individuals (4806 children, 2570 mothers and 1831 fathers). Child obesity was defined based on the World Health Organization 2007 reference. We assessed the relation between parental anthropometric (overweight, obesity and central obesity) and cardiometabolic (systolic hypertension, diastolic hypertension and hyperglycaemia) risk factors and child obesity, using mixed effects Poisson regression models with robust standard errors.

    RESULTS: We found a high burden of overweight and obesity among children in this population (30% overweight or obese). Children of one or more obese parents had a 2-fold greater risk of being obese compared with children of non-obese parents. Sequential adjustment for parental and child characteristics did not materially affect estimates (fully adjusted relative risk for obesity in both parents: 2.39, 95% confidence interval: 1.82, 3.10, P 

    Matched MeSH terms: Pediatric Obesity/epidemiology*
  19. Abidin NZ, Mamat M, Dangerfield B, Zulkepli JH, Baten MA, Wibowo A
    PLoS One, 2014;9(12):e114135.
    PMID: 25502170 DOI: 10.1371/journal.pone.0114135
    Poor eating behavior has been identified as one of the core contributory factors of the childhood obesity epidemic. The consequences of obesity on numerous aspects of life are thoroughly explored in the existing literature. For instance, evidence shows that obesity is linked to incidences of diseases such as heart disease, type-2 diabetes, and some cancers, as well as psychosocial problems. To respond to the increasing trends in the UK, in 2008 the government set a target to reverse the prevalence of obesity (POB) back to 2000 levels by 2020. This paper will outline the application of system dynamics (SD) optimization to simulate the effect of changes in the eating behavior of British children (aged 2 to 15 years) on weight and obesity. This study also will identify how long it will take to achieve the government's target. This paper proposed a simulation model called Intervention Childhood Obesity Dynamics (ICOD) by focusing the interrelations between various strands of knowledge in one complex human weight regulation system. The model offers distinct insights into the dynamics by capturing the complex interdependencies from the causal loop and feedback structure, with the intention to better understand how eating behaviors influence children's weight, body mass index (BMI), and POB measurement. This study proposed a set of equations that are revised from the original (baseline) equations. The new functions are constructed using a RAMP function of linear decrement in portion size and number of meal variables from 2013 until 2020 in order to achieve the 2020 desired target. Findings from the optimization analysis revealed that the 2020 target won't be achieved until 2026 at the earliest, six years late. Thus, the model suggested that a longer period may be needed to significantly reduce obesity in this population.
    Matched MeSH terms: Obesity/epidemiology*
  20. Freisling H, Noh H, Slimani N, Chajès V, May AM, Peeters PH, et al.
    Eur J Nutr, 2018 Oct;57(7):2399-2408.
    PMID: 28733927 DOI: 10.1007/s00394-017-1513-0
    PURPOSE: There is inconsistent evidence regarding the relationship between higher intake of nuts, being an energy-dense food, and weight gain. We investigated the relationship between nut intake and changes in weight over 5 years.

    METHODS: This study includes 373,293 men and women, 25-70 years old, recruited between 1992 and 2000 from 10 European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Habitual intake of nuts including peanuts, together defined as nut intake, was estimated from country-specific validated dietary questionnaires. Body weight was measured at recruitment and self-reported 5 years later. The association between nut intake and body weight change was estimated using multilevel mixed linear regression models with center/country as random effect and nut intake and relevant confounders as fixed effects. The relative risk (RR) of becoming overweight or obese after 5 years was investigated using multivariate Poisson regressions stratified according to baseline body mass index (BMI).

    RESULTS: On average, study participants gained 2.1 kg (SD 5.0 kg) over 5 years. Compared to non-consumers, subjects in the highest quartile of nut intake had less weight gain over 5 years (-0.07 kg; 95% CI -0.12 to -0.02) (P trend = 0.025) and had 5% lower risk of becoming overweight (RR 0.95; 95% CI 0.92-0.98) or obese (RR 0.95; 95% CI 0.90-0.99) (both P trend <0.008).

    CONCLUSIONS: Higher intake of nuts is associated with reduced weight gain and a lower risk of becoming overweight or obese.

    Matched MeSH terms: Obesity/epidemiology*
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