Trends in the prevalence of obesity among young Thai men and associated factors: from 2009 to 2016

Relationship between pulse pressure and body mass index in active-duty Royal Thai Army personnel in Thailand

BACKGROUND

Elevated pulse pressure (PP) is a robust independent predictor of cardiovascular diseases. The relationship between PP and body mass index (BMI) was presented in a few studies. However, the findings were inconsistent. Therefore, the aim of the present study is to identify the association between elevated PP and BMI using a large sample of active-duty Royal Thai Army (RTA) personnel.

METHODS

A cross-sectional study was conducted through the use of the dataset obtained from the annual health examination database of RTA personnel in Thailand in 2022. BMI 25.0-29.9 kg/m² was classified as obesity I, whereas BMI ≥ 30.0 kg/m² was classified as obesity II. Elevated PP was defined as PP ≥ 50 mmHg. Multivariable linear regression and log-binomial regression models were utilized for determining the association between elevated PP and BMI.

RESULTS

A total of 62,113 active-duty RTA personnel were included in the study. The average BMI was 25.4 ± 3.8 kg/m², while the average PP was 50.1 ± 11.2 mmHg. Compared to individuals with normal weight, the [Formula: see text] coefficients of PP and BMI were 1.38 (95% CI: 1.15-1.60) and 2.57 (95% CI: 2.25-2.88) in individuals with obesity I and obesity II, respectively. Effect modification by high blood pressure (BP) on the association between elevated PP and BMI was observed. Among participants with normal BP, in comparison with BMI of 18.5-22.9 kg/m², the adjusted prevalence ratio (PR) for elevated PP was 1.23 (95% CI: 1.19-1.28) and 1.41 (95% CI: 1.35-1.48) in those with obesity I and obesity II, respectively. Meanwhile, among individuals with high BP, the adjusted PR for elevated PP was 1.05 (95% CI: 1.01-1.08) and 1.09 (95% CI: 1.06-1.13) in those with obesity I and obesity II, respectively.

CONCLUSION

PP was positively associated with BMI in active-duty RTA personnel. High BP was the modifier of the association between PP and BMI. A weaker association between elevated PP and BMI was observed among RTA personnel with high BP.

Prevalence, awareness, and control of hypertension and associated factors among Royal Thai Army personnel in Thailand from 2017 to 2021

Hypertension (HTN) is a potential risk factor for cardiovascular diseases. We aimed to determine the prevalence, awareness, and control of HTN among RTA personnel in Thailand. We conducted a series of cross-sectional studies from 2017 to 2021. HTN was defined by systolic blood pressure (BP) ≥ 140 mmHg or a diastolic BP ≥ 90 mmHg from a physical health examination, a history of HTN diagnosed by medical personnel, or taking antihypertensive medication. A total of 504,484 participants were included in the present study. The overall HTN prevalence was 29.4%. The prevalence of HTN among males was 30.5%, while it was 17.1% among females. Of the RTA personnel with HTN, 35.9% were aware of their condition. The overall control of HTN among RTA personnel with HTN was 15.8% in 2017 and 17.6% in 2021. Behavioral factors associated with HTN were current smoking, alcohol consumption, and sedentary behavior. A higher BMI was associated with higher HTN prevalence and HTN awareness but less likely to have controllable HTN. Male participants, younger individuals, current alcohol use, and sedentary behavior were associated with a lower prevalence of HTN awareness and controlled HTN. Current tobacco use was also associated with a lower prevalence of HTN awareness.

The relative impact of health communication conveyed via quick response codes: A conjoint experiment among young thai consumers doing grocery shopping

This paper explores the impact of health communication using smartphones and the outcome of healthier purchases when young Thai consumers shop for groceries. A conjoint experiment was arranged whereby participants (n = 214) purchased grocery using information conveyed via quick response (QR) codes. Results show that a healthy food label, and a good consumer rating on the food's health, evoked the consumers' tendencies towards interacting with a smartphone in the purchasing situation. In addition, likelihood of buying increased. Further simulations revealed that health communication conveyed via QR codes can be a good investment for brands to increase healthier purchases.

Incidence and risk factors of metabolic syndrome among Royal Thai Army personnel

Metabolic Syndrome is a clustering of obesity, hyperglycemia/insulin resistance, dyslipidemia, and hypertension. We aimed to determine the incidence of metabolic syndrome among Royal Thai Army (RTA) personnel and its risk factors. We conducted a retrospective cohort study using data from 2017 to 2021. Metabolic syndrome was defined by NCEP ATP III (2005 Revision). A total of 98,264 participants were enrolled in the present study. The overall incidence rate of metabolic syndrome was 3.7 per 100 person-year (95% CI 3.7–3.8). The statistically significant risk factors for metabolic syndrome included male sex (aHR 1.40; 95% CI 1.29–1.51), age > 35 years, current alcohol consumption, and no exercise. When stratified by sex, the incidence rate of metabolic syndrome among participants aged ≥ 45 years was higher than those aged < 35 years with aHR 6.34; 95% CI 6.01–6.70 for males and aHR 9.59; 95% CI 7.55–12.19 for females. Our data demonstrated that metabolic syndrome is a common health issue, especially among RTA personnel over 35 years. Alcohol consumption and sedentary behavior played an essential role in facilitating metabolic syndrome in this study population and are potential targets for intervention to enhance primary prevention of the sequelae of metabolic syndrome.

Determining the effective factors in predicting diet adherence using an intelligent model

Adhering to a healthy diet plays an essential role in preventing many nutrition-related diseases, such as obesity, diabetes, high blood pressure, and other cardiovascular diseases. This study aimed to predict adherence to the prescribed diets using a hybrid model of artificial neural networks (ANNs) and the genetic algorithm (GA). In this study, 26 factors affecting diet adherence were modeled using ANN and GA(ANGA). A dataset of 1528 patients, including 1116 females and 412 males, referred to a private clinic was applied. SPSS Ver.25 and MATLAB toolbox 2017 were employed to make the model and analyze the data. The results showed that the accuracy of the proposed ANN and ANGA models for predicting diet adherence was 93.22% and 93.51%, respectively. Also, the Pearson coefficient showed a significant relationship among the factors. The developed model showed the proper performance for predicting adherence to the diet. Moreover, the most effective factors were selected using GA. Some important factors that affect diet adherence include the duration of the marriage, the reason for referring to the clinic, weight, body mass index (BMI), weight satisfaction, lunch and dinner times, and sleep time. Therefore, applying the proposed model can help dietitians identify people who need more support to adhere to the diet.

Rising trends in obesity prevalence among Royal Thai Army personnel from 2017 to 2021

Obesity is an essential health issue leading to noncommunicable diseases (NCDs) as well as atherosclerotic cardiovascular diseases. We aimed to determine the trends in obesity prevalence among Royal Thai Army (RTA) personnel and their associated factors using the health examination of RTA personnel database. A series of cross-sectional studies were conducted from 2017 to 2021. A self-report guide was created using a standardized case report form to obtain demographic characteristics and determine behavioral risk factors. Obesity was defined as BMI [Formula: see text] 25 kg/m², and a total of 512,476 RTA personnel nationwide were included. Obesity prevalence rose from 42.1% (95% CI 41.7-42.4) in 2017 to 44.2% (95% CI 43.9-44.5) in 2021 (p for trend < 0.001). A significant surge was observed in obesity prevalence among young RTA personnel aged 18-24 years from 23.7% in 2017 to 28.4% in 2021 (p for trend < 0.001). Higher age individuals, male participants and RTA personnel residing in Bangkok tended to have a significantly higher risk for obesity. Further, regular exercise was a protective factor for obesity. Our data emphasized that obesity among the RTA personnel has been continuously rising over one half-decade, especially among young adults.

Effect of Acupoint Catgut Embedding for Middle-Aged Obesity: A Multicentre, Randomised, Sham-Controlled Trial

Objectives

This study aimed to examine the efficacy and safety of acupoint catgut embedding (ACE) for obesity over a 16-week treatment period using sham stimulation as the control.

Methods

A multicenter, randomised, parallel, sham-controlled trial was conducted from February 10, 2017, to May 15, 2018. Men with waistlines ≥85 cm and women with ≥80 cm at three sites were randomised to receive eight sessions (over 16 weeks) of ACE (n = 108) or sham ACE (n = 108) with skin penetration at sham acupoints. The catgut was embedded once every two weeks using two alternating sets of acupoints. The follow-up lasted for an additional 24 weeks. The primary outcome was the percentage waistline reduction from baseline to week 16.

Results

We included 216 individuals in the intention-to-treat analysis. At 16 weeks, the rate of waistline reduction was 8.80% (95% confidence interval (CI), 7.93% to 9.66%) in the ACE group and 4.09% (95% CI, 3.18% to 5.00%) in the sham control group, with a between-group difference of 4.71% (95% CI, 3.47% to 5.95%; P < 0.0001). This difference persisted throughout the entire follow-up period (between-group difference after 24-week additional weeks, 4.94% (95% CI, 3.58% to 6.30%); P < 0.001). The subgroup analyses of waistline by sex (male/female) revealed treatment effects of 1.93 (95% CI, -0.37 to 4.23, P = 0.1) in the male group and 3.19 (95% CI, 1.99 to 4.39, P < 0.001) in the female group. The adverse event analysis suggested that ACE and laboratory tests confirmed the safety of ACE. Discussion. ACE for 16 weeks could decrease the waistline and weight and was safe for the treatment of obesity. Further research is needed to evaluate the long-term efficacy and sex differences. This trial is registered with NCT02936973.

Trends, prevalence and associated factors of obesity among adults in a rural community in Thailand: serial cross-sectional surveys, 2012 and 2018

Background

Obesity is one principle risk factor increasing the risk of noncommunicable diseases including diabetes, hypertension and atherosclerosis. In Thailand, a 2014 study reported obesity (BMI ≥25 kg/m²) in a Thai population aged ≥15 years was 37.5, 32.9 and 41.8% overall and among males and females, respectively. The study aimed to determine trends in the prevalence of obesity among adults residing in a Thai rural community between 2012 and 2018 and investigate the associations between obesity and behavioral factors.

Methods

Serial cross-sectional studies were conducted in 2012 and 2018 among adults in Na-Ngam rural community. In 2012 and 2018, all 635 and 627 individuals, respectively, were interviewed using structured questionnaires related to demographics, risk behaviors, comorbidities and arthrometric measurement. Spot urine was collected by participants and obesity was defined as BMI ≥25 kg/m². The risk factors for obesity were analyzed in the 2018 survey.

Results

A total of 1262 adults in Na-Ngam rural community were included in the study. The prevalence of obesity was 33.9% in 2012 and 44.8% in 2018 (P < 0.001). The average BMI increased from 23.9 ± 4.2 kg/m² in 2012 to 25.0 ± 4.52 kg/m² in 2018 (P < 0.001). Obesity was associated with higher age (AOR 0.99; 95%CI 0.97–0.99), smoking (AOR 0.52; 95%CI 0.28–0.94), instant coffee-mix consumption > 1 cup/week (AOR 1.44; 95%CI 1.02–2.04), higher number of chronic diseases (≥1 disease AOR 1.82; 95%CI 1.01–2.68, > 2 diseases AOR 2.15; 95%CI 1.32–3.50), and higher spot urine sodium level (AOR 1.002; 95%CI 0.99–1.01).

Conclusion

Our data emphasized that obesity constituted a serious problem among adults residing in a rural community. A trend in significant increase was found regarding the prevalence of obesity and average BMI in the rural community over 6 years. Effective public health interventions should be provided at the community level to reduce BMI. Moreover, modifiable risk factors for obesity should be attenuated to inhibit the progression of metabolic syndrome, noncommunicable diseases and their complications.