Methods: Analyses were performed on 243 women (mean body mass index 31.27 ± 4.14 kg/m2) who completed a 12-month lifestyle intervention in low socioeconomic communities in Klang Valley, Malaysia. Analysis of covariance (ANCOVA) was used to compare changes of cardiometabolic risk factors across weight change categories (2% gain, ±2% maintain, >2 to <5% loss, and 5 to 20% loss) within intervention and control group.
Results: A graded association for changes in waist circumference, fasting insulin, and total cholesterol (p=0.002, for all variables) across the weight change categories were observed within the intervention group at six months postintervention. Participants who lost 5 to 20% of weight had the greatest improvements in those risk markers (-5.67 cm CI: -7.98 to -3.36, -4.27 μU/mL CI: -7.35, -1.19, and -0.59 mmol/L CI: -.99, -0.19, respectively) compared to those who did not. Those who lost >2% to <5% weight reduced more waist circumference (-4.24 cm CI: -5.44 to -3.04) and fasting insulin (-0.36 μU/mL CI: -1.95 to 1.24) than those who maintained or gained weight. No significant association was detected in changes of risk markers across the weight change categories within the control group except for waist circumference and adiponectin.
Conclusion: Weight loss of >2 to <5% obtained through lifestyle intervention may represent a reasonable initial weight loss target for women in the low socioeconomic community as it led to improvements in selected risk markers, particularly of diabetes risk.
METHODS: Data were derived from the Global School-Based Student Health Survey (GSHS). Data from 71176 adolescents aged 12-15 years residing in 23 countries were analyzed. The Centers for Disease Control and Prevention (CDC) 2000 growth charts were used to identify underweight, normal weight, and overweight/ obesity. Weighted age- and gender-adjusted prevalence of weight categories and tobacco use was calculated. Multivariate logistic regression analysis was performed to estimate the association between weight categories and tobacco use for each country, controlling for covariates. Pooled odds ratios and confidence intervals were computed using random- or fixed-effects meta-analyses.
RESULTS: A significant association between weight categories and tobacco use was evident in only a few countries. Adolescents reporting tobacco use in French Polynesia, Suriname, and Indonesia, had 72% (95% CI: 0.15-0.56), 55% (95% CI: 0.24-0.84), and 24% (95% CI: 0.61-0.94) lower odds of being underweight, respectively. Adolescents reporting tobacco use in Uganda, Algeria, and Namibia, had 2.30 (95% CI: 1.04-5.09), 1.71 (95% CI: 1.25-2.34), and 1.45 (95% CI: 1.00-2.12) times greater odds of being overweight/obese, but those in Indonesia and Malaysia had 33% (95% CI: 0.50-0.91) and 16% (95% CI: 0.73-0.98) lower odds of being overweight/obese.
CONCLUSIONS: The association between tobacco use and BMI categories is likely to be different among adolescents versus adults. Associating tobacco use with being thin may be more myth than fact and should be emphasized in tobacco prevention programs targeting adolescents.
Methods: Thirteen focus group discussions involving 129 participants from a weight-loss intervention program were conducted within the first 1 month of recruitment. These discussions were moderated by two trained researchers in the Malay language and assisted by an interview guide. They were audio-recorded and transcribed verbatim. A thematic analysis was performed, and codes and themes from each discussion were constructed.
Results: The participants understood dieting with various meanings, including skipping meals and removing rice from daily diets. They applied numerous methods to lose weight and achieved various outcomes. Health and appearance, social support, and compliance with current trends were the factors motivating these participants to lose weight. Their determination to lose weight was limited by lack of self-control and motivation, experiences of unpleasant effects, influence on weight, and environmental and health factors.
Conclusion: Real-life weight loss experiences and perceptions provided relevant insights into current weight loss management strategies. Some of these issues and misunderstandings should be emphasized in weight loss strategies during health promotion.
Materials and Methods: Sixty postmenopausal female patients aged 51-68 years were included in the study to assess the relationship between tooth loss and the level of blood pressure. The information including sociodemographics, last menstruation period, hypertension history, and the duration of having tooth loss was recorded. Blood pressure was measured using sphygmomanometer and the number of tooth loss was determined.
Results: The results showed a more significant tooth loss in hypertension (median: 23 + 4; interquartile range [IQR]: 6) compared to the normotension postmenopausal women (median: 18 + 6; IQR: 12; P < 0.05). Furthermore, obese patients had more tooth loss (median: 23 + 5; IQR: 8) than the overweight patients (median: 19 + 8; IQR: 8).
Conclusion: Tooth loss is associated with the increase of hypertension in postmenopausal women which may have a role in the development of vascular diseases.
OBJECTIVES: The review objectives were to summarize the evidence on prevalence of childhood overweight and obesity within developing countries in Asia and to synthesise the best epidemiological association between the dietary patterns of children in the developing countries in Asia and their weight status in terms of obesity.
INCLUSION CRITERIA: This review considered any studies that included children under 18 years of age who live in developing countries in Asia.This review of epidemiological association considered any analytical observational studies (case-control studies, cohort studies and analytical cross-sectional studies).The focus was to summarise the prevalence of childhood overweight and obesity within developing countries in Asia and synthesise the best available evidence on the relationship between dietary patterns as the exposure variable and childhood overweight and obesity as the outcome.
SEARCH STRATEGY: A three-step search strategy was utilised, with an initial limited search of MEDLINE, CINAHL and EMBASE to identify search terms. A second search using all identified keywords and index terms was undertaken across all included databases. Thirdly, the reference list of all identified reports and articles were searched for additional studies. Additional electronic databases searched included: ProQuest, Web of Science, and Scopus. Each database was searched from inception to September 2011, with an English language restriction.
METHODOLOGICAL QUALITY: All papers selected for retrieval were assessed independently by two reviewers using standardised critical appraisal instruments from the Joanna Briggs Institute.
DATA COLLECTION: Data was extracted from included studies by two reviewers independently using an adapted version of the standardised data extraction form from the Joanna Briggs Institute.
DATA SYNTHESIS: Meta-analysis was not possible because of the heterogeneity of studies in terms of methodology, statistical analyses and outcomes. A narrative summary of results is provided.
RESULTS: Fifteen studies were included in the review. The prevalence rates of childhood overweight and obesity in Asian developing countries ranged from 5.1% to 19.9% with no specific trend in age or gender. Several significant but inconsistent statistical associations between dietary patterns and overweight/obesity in children and adolescents were found [high energy diet (OR: 1.80 95%CI 1.10 to 2.90, p<0.05 vs 0.80 95%CI 0.60 to 1.10, p>0.05), low intake of fruit and vegetables (OR: 2.34 95%CI 1.04 to 5.24, p<0.001; 2.00 95%CI 1.10 to 3.40, p<0.05 vs 1.33 95%CI 0.44 to 4.05, p>0.05; 0.70 95%CI 0.50 to 1.00, p>0.05), high meat consumption (RR: 2.40 95%CI 1.00 to 5.60, p<0.05 vs 1.70 95%CI 1.00 to 2.70, p>0.05), eating out (OR: 12.0 95%CI 7.7 to 18.7, p<0.001; 1.70 95%CI 1.04 to 2.90, p<0.05 vs 1.20 95%CI 0.60 to 2.40, p>0.05), fast food intake (OR: 1.50 95%CI 1.12 to 2.02, p<0.05), presence of snacking (OR: 2.34 95%CI 1.01 to 5.54, p=0.05; 1.26 95%CI 1.13 to 1.40, p<0.05 vs 0.80 95%CI 0.48 to 1.32,p=0.377; 0.60 95%CI 0.30 to 0.99, p<0.05; 0.60 95%CI 0.40 to 0.90, p<0.05) and drinking sugar sweetened beverages (OR: 1.60 95%CI 1.02 to 2.50, p<0.05; 1.70 95%CI 1.10 to 2.70, p<0.05 vs 0.93 95%CI 0.82 to 1.05, p>0.05)]. The key limitation was the heterogeneity of studies in terms of measures of dietary patterns and obesity standards.
CONCLUSIONS: The prevalence rates of childhood overweight and obesity in Asian developing countries ranged from 5.1% to 19.9% with no specific trend in age or gender. From the practice perspective, several significant yet inconsistent statistical associations between dietary patterns and childhood overweight/obesity in children and adolescents were found.This review highlights the need for clinicians to monitor the effects of dietary change on the weight and health status of children in Asian countries.There is a need for valid measures of dietary intake and use of standardised international cut-offs for overweight and obesity, and for future researchers to conduct prospective studies to determine the causal relationship between Asian children's dietary pattern and their weight status.
METHODS: This study was a cross-sectional study using multi-stage stratified sampling method. Data collection was carried out via face-to-face interview at the respondent's home from October 2017 until March 2018. A total of 1047 respondents aged 18 years and above completed the questionnaires and blood pressure measurement. A person who reported diagnosis of hypertension by a physician and had systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg on three readings was categorised as hypertensive. Risk factors of hypertension were analysed using multiple logistic regression.
RESULTS: The prevalence of hypertension in the present study was 49.39% (95% CI 44.27-54.51). There was no statistically significant difference in gender. Age, household income, BMI, and diabetes were significantly associated with hypertension. Hypertension found had inverse association with the level of education. Age was the strongest predictor of hypertension (35-44 years old; OR=2.39, 95% CI=1.39-4.09, 45-54 years old; OR=5.50, 95% CI=3.23-9.38, 55-64 years old OR=13.56, 95% CI=7.77-23.64 and 65 years old and above; OR=25.28, 95% CI=13.33-48.66). Those who had higher BMI more likely to be hypertensive as compared to respondents with normal weight (overweight, OR=1.84; 95% CI=1.18-2.86; obese, OR=4.29% CI=2.56-7.29).
CONCLUSION: The findings showed that hypertension is prevalent among adults in Malaysia. Those with older age, higher BMI, and diabetes are more likely to have hypertension. Efforts regarding lifestyle modification and education could be important in hypertension management and prevention.