Central Obesity Status Research Articles

Relation between nutrition intake, prediabetes, and central obesity with handgrip strength in Indonesian medical student

Background: Muscles are crucial in creating movement, stabilising body posture, and regulating body temperature. Muscle strength can be assessed using handgrip strength. Handgrip strength can predict muscle function, nutritional status, diabetes risk, and the risk of metabolic syndrome. Handgrip strength can be influenced by muscle mass, nutritional intake, fat mass, physical activity level, and metabolic syndrome. Objective: This research is to find relationship between handgrip strength and nutritional intake, muscle mass, and central obesity. Methods: The research was conducted as a cross-sectional study using observational analytical methods. The sample consisted of 53 individuals selected through purposive sampling. Handgrip strength can be measured using a hand dynamometer, nutritional intake using a 2x24 hour food recall, muscle mass using a body composition analyzer, central obesity using waist to hip ratio, and fasting blood sugar using a glucometer. Statistical data analysis employed the chi-square test and independent T-test. Results: The results indicated a relationship between central obesity and handgrip strength (p = 0.006). Researchers are interested in studying muscle strength and its predictors concerning central obesity, prediabetes, and nutritional status in medical students. The results indicated a relationship between handgrip strength and central obesity (p = 0.006), but no relationship was found between handgrip strength and energy intake (p = 0.235), protein intake (p = 0.524), and prediabetes (p = 0.272). Conclusion: There is a relationship between central obesity and handgrip strength. Future researchers are encouraged to consider additional factors, including physical activity, muscle mass index, and comorbidities.

Prevalence and influencing factors of subjects at high risk for cardiovascular disease in different regions of Gansu province, China: a cross-sectional study of 100,725 residents from 2017 to 2022.

To investigate the prevalence rate of subjects at high risk for cardiovascular disease (CVD) and to analyze the influencing factors in different regions of Gansu Province. We used data from the China Patient-centered Evaluative Assessment of Cardiac Events (PEACE) Million Persons Project (MPP), which screened 100,725 residents aged 35-75 years from 10 project sites in Gansu Province, China, from 2017 to 2022. In addition, a questionnaire survey, anthropometric measurements, and collection of biological samples were carried out. Of the 100,082 residents included, 21,059 were identified as subjects at high-risk for CVD. The overall prevalence rate of subjects at high risk for CVD was 19.7%, and the prevalence rate in the HeXi region was greater than that in the LongZhong and LongDong regions. The prevalence rates were 14.0%, 58.2%, 34.9%, and 5.7% for cardiovascular history, hypertension, dyslipidemia, and WHO-assessed risk ≥20%, respectively. The prevalence rate of cardiovascular history type was the highest in the HeXi region, hypertension and dyslipidemia types were the highest in the LongZhong region, and WHO-assessed risk ≥20% type was the highest in the LongDong region. Male, higher education level, smoking status, snoring status, overweight and obesity status, central obesity status, and disease history were more likely to be risk factors for subjects at high risk for CVD. There were some differences among different regions in age, annual household income, farming status, rural/urban status, and drinking status. The prevalence rate of subjects at high risk for CVD in Gansu Province is relatively high. Individualized intervention measures as well as comprehensive prevention and control strategies should be adopted, focusing on the distribution characteristics of risk factors among high-risk subjects in different regions.

Metabolic obesity phenotypes and all-cause mortality among the Chinese oldest-old population: a prospective cohort study.

The obesity paradox has been reported among older adults. However, whether the favorable effect of obesity is dependent on metabolic status remains largely unknown. We aimed to explore the association of metabolic obesity phenotypes and their changes with all-cause mortality among the Chinese oldest-old population. This prospective cohort study included 1207 Chinese oldest old (mean age: 91.8 years). Metabolic obesity phenotypes were determined by central obesity and metabolic status, and participants were classified into metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy non-obesity (MHN), and metabolically unhealthy non-obesity (MUN). The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated by Cox regression models. During 5.3 years of follow-up, 640 deaths were documented. Compared with non-obesity, obesity was associated with a decreased mortality risk among participants with metabolically healthy (HR, 0.75; 95% CI, 0.63-0.91) while this association was insignificant among metabolically unhealthy. Compared to MHO, MHN (HR, 1.27; 95% CI, 1.06-1.53) and MUN (HR, 1.49; 95% CI, 1.10-2.02) were significantly associated with an increased mortality risk. Compared to those with stable MHO, those transited from MHO to MUO demonstrated a higher mortality risk (HR, 1.81; 95% CI, 1.06-3.11). MHO predicts better survival among the Chinese oldest-old population. These findings suggest that ensuring optimal management of metabolic health is beneficial and taking caution in weight loss based on the individual body weight for the metabolically healthy oldest-old adults.

Evaluating Hypertension Risk Factors: A Study in Sidoarjo Regency, Indonesia

Hypertension is a public problem that is national-focused. The prevalence in Indonesia reaches 34.1%. Sodium intake, physical activity, central obesity status, and family history are risk factors for hypertension. This study aims to prove sodium intake, physical activity, central obesity status, and family history of hypertension. This cross-sectional approach, a quantitative method, was conducted in Sawotratap Village. Sixty-eight people underwent health checks at Posbindu Saworatap from February to November 2022 and only 63 met the criteria. Measurements of hypertension status using a digital sphygmomanometer, measuring sodium intake using the SQ-FFQ forms, measuring physical activity using a questionnaire, and measuring central obesity status with an abdominal circumference indicator measured by a meter with an accuracy of 1 mm. Data analysis using chi-square test. The results showed that there was a relationship between sodium intake and the incidence of hypertension. There is a relationship between central obesity status and the incidence of hypertension. There is a relationship between family history and the incidence of hypertension. There is no relationship between physical activity and the incidence of hypertension. Sodium intake, central obesity status, and family history are risk factors for hypertension. While physical activity was not associated with the incidence of hypertension.

MAFLD with central obesity is associated with increased risk of colorectal adenoma and high-risk adenoma

ObjectiveTo analyze the risk factors associated with colorectal adenoma and to investigate the associations of metabolism-related fatty liver disease (MAFLD) with obesity, colorectal adenoma and high-risk adenoma.MethodsA total of 1395 subjects were enrolled and divided into a colorectal adenoma group (593 subjects) and a control group (802 subjects) according to the inclusion and exclusion criteria. The characteristics of patients in the colorectal adenoma group and the control group were compared by the chi-square test. Univariate and multivariate logistic analyses were used to analyze independent risk factors and associations with different MAFLD subtypes. Colorectal adenoma characteristics and the proportion of patients with high-risk colorectal adenoma were also compared.ResultsHigh-density lipoprotein (HDL-C) was significantly lower in patients in the colorectal adenoma group than in those in the control group (P < 0.001). Logistic regression analysis revealed that age, obesity status, central obesity status, hypertension status, diabetes status, fatty liver status, smoking history, BMI, waist circumference, triglyceride level, HDL-C level, fasting blood glucose level and degree of hepatic steatosis were all independent risk factors for colorectal adenoma. Notably, MAFLD was associated with a significantly increased risk of colorectal adenoma in patients with central obesity (P < 0.001). In addition, obesity, central obesity, diabetes, fatty liver and degree of hepatic steatosis were all shown to be independent risk factors for high-risk colorectal adenoma. In addition, a greater proportion of MAFLD patients with central obesity than those without central obesity had high-risk colorectal adenoma.ConclusionMAFLD and central obesity are independently associated with the development of colorectal adenoma. MAFLD with central obesity is associated with an increased risk of colorectal adenoma and high-risk adenoma.

Association of food consumption and physical activity with metabolic syndrome according to central obesity status in Indonesian adults: A cross-sectional study

Background: Previous studies have reported that the risk of metabolic syndrome differs between obese and non-obese individuals based on food consumption and physical activity.Objective: This study aims to analyze differences in the association of food consumption and physical activity with the incidence of metabolic syndrome in individuals with and without central obesity.Materials and Methods: This cross-sectional study examined individuals aged 19 to 64 years using Riskesdas 2018 data. Sample characteristics, including smoking habits, alcohol consumption, food consumption, physical activity, anthropometric data, clinical data, and biochemical data were collected for univariate, bivariate, and multivariate analyses. Logistic regression was used as a multivariate analysis to investigate the association of food consumption and physical activity with the risk of metabolic syndrome in individuals with and without central obesity. Results: In this study, individuals with and without central obesity significantly increased risk of metabolic syndrome (p&lt;0.05) due to consuming nearly all kinds of unhealthy foods (sweet foods, savory foods, fatty/cholesterol-rich/fried foods, grilled foods, processed meat/chicken/fish, soft drinks/carbonated drinks, energy drinks, and instant noodles/other instant foods). However, only individuals without central obesity who frequently consume seasonings (OR=1.519, 95% CI: 1.241-1.859) have a significant association with an increased risk of metabolic syndrome. Meanwhile, only individuals with central obesity who often consume sugary drinks (OR=1.315, 95% CI: 1.132-1.529) are significantly associated with an increased risk of metabolic syndrome. In addition, inadequate consumption of fruits and vegetables as well as lack of physical activity also significantly increase the risk of metabolic syndrome in individuals with and without central obesity (p&lt;0.05).Conclusion: Only the consumption of seasonings and sugary drinks shows a different relationship to the risk of metabolic syndrome in individuals with and without central obesity.

Association of low muscle mass and obesity with increased all-cause and cardiovascular disease mortality in US adults.

Sarcopenic obesity, defined as the coexistence of low muscle mass and high adiposity, is associated with cardiovascular disease (CVD) and mortality. However, to what extent sarcopenia contributes to these risks independently or in conjunction with other cardiovascular risk factors remains unclear. This study aimed to investigate the association of low muscle mass, central obesity (COB), metabolic abnormalities, and their combinations with CVD and mortality risk. This cross-sectional analysis used data from the National Health and Nutrition Examination Survey 1999-2006 and 2011-2018. Participants aged >20years and with reported whole-body dual X-ray absorptiometry data were included. Participants were divided into eight groups based on low muscle mass, metabolic abnormalities, and COB status. The mean age of participants was 55years, and 50.4% of participants were male. Low muscle mass was observed in 2472 (14.6%) out of 16839 participants. Among the eight groups, the metabolically unhealthy COB group with low muscle mass had the highest hazard ratio (HR) for all-cause mortality (HR, 2.00; 95% CI, 1.56-2.56; P<0.001), whereas the metabolically healthy COB group with low muscle mass had the highest HR for CVD mortality (HR, 3.18; 95% CI, 1.53-6.65; P=0.001). The mediation analysis showed that low muscle mass directly increased the risk of both all-cause mortality (HR, 1.56; 95% CI, 1.35-1.79; P<0.001) and CVD mortality (HR, 1.80; 95% CI, 1.40-2.31; P<0.001). Additionally, subgroup analysis revealed that low muscle mass significantly increased the risk of all-cause and CVD mortality in participants without a prior CVD history and those with diabetes mellitus. Low muscle mass is an independent risk factor for all-cause and CVD mortality, especially in individuals with metabolic abnormalities and COB.

The effect of combining nutrient intake and physical activity levels on central obesity, sarcopenia, and sarcopenic obesity: a population-based cross-sectional study in South Korea

BackgroundThis study was conducted to investigate the effects of combining nutritional and physical activity (PA) factors on four different categories, according to the presence or absence of sarcopenia and central obesity.MethodsFrom the 2008–2011 Korea National Health and Nutrition Examination Survey, 2971 older adults aged ≥ 65 years were included and divided into four groups based on their sarcopenia and central obesity status: healthy control (39.3%), central obesity (28.9%), sarcopenia (27.4%), and sarcopenic obesity (4.4%). Central obesity was defined as a waist circumference of ≥ 90 cm in men and ≥ 85 cm in women. Sarcopenia was defined as an appendicular skeletal mass index of < 7.0 kg/m2 in men and < 5.4 kg/m2 in women, and sarcopenic obesity was defined as the coexistence of sarcopenia and central obesity.ResultsParticipants who consumed more energy and protein than the average requirement had a lower likelihood of having sarcopenia (odds ratio (OR): 0.601, 95% confidence interval (CI): 0.444–0.814) than those who did not consume enough nutrients. The likelihood of central obesity and sarcopenic obesity decreased in groups with recommended PA levels, regardless of whether energy intake met or did not meet the average requirement. Whether PA met or did not meet the recommended level, the likelihood of sarcopenia decreased in groups with energy intake that met the average requirement. However, when PA and energy requirements were met, there was a greater reduction in the likelihood of sarcopenia (OR: 0.436, 95% CI: 0.290–0.655).ConclusionThese findings suggest that adequate energy intake that meets requirements is more likely to be effective as a major prevention and treatment goal for sarcopenia, whereas PA guidelines should be prioritized in the case of sarcopenic obesity.

The Relationship of Waist Circumference and Waist-to-Hip Ratio with Risk of Cardiovascular Disease in Indonesia

Cardiovascular disease (CVD) is one of the non-communicable diseases which is the mayor leading cause of death in the world. One of the modifiable factors of cardiovascular disease is central obesity. Assessment of central obesity status was carried out by measuring waist circumference (WC) and waist-to-hip ratio (WHR). This study aimed to determine the relationship between WC and WHR with the risk of cardiovascular disease. This was an observational study with a cross-sectional design. There were 106 respondents selected using a convenience sampling technique. In this study, the risk of cardiovascular disease was calculated using the Jakarta Cardiovascular Score. The Spearman Rho’s was used as bivariate analysis for this study. The findings showed that WC and the risk of cardiovascular disease indicates a significant relationship with a moderate correlation (p &lt;0.001 and r =0.467). Meanwhile, there was a significant relationship between WHR and the risk of cardiovascular disease (p&lt;0.001 and r =0.385). Nurse may use this study result as an evidence to develop a preventive central obesity program.

Correlation between sleep status and frailty in adults aged 30-79 years in China

Objective: To explore the correlation between sleep status and frailty in adults aged 30-79 years in China, and explore the potential effect modification of general and central obesity. Methods: Based on the baseline data of the China Kadoorie Biobank, we used multinomial logistic regression to analyze the correlation between long and short sleep duration, insomnia disorder, snoring, and unhealthy sleep score with risks of pre-frailty and frailty. Both overall and obesity-stratified analyses were performed. Result: Among the 512 724 participants, 2.3% had frailty and 40.1% had pre-frailty. There was a U-shaped relationship between sleep duration and frailty score. Short (OR=1.21, 95%CI: 1.19-1.23) or long sleep duration (OR=1.19, 95%CI: 1.17-1.21), insomnia disorder (OR=2.09, 95%CI: 2.02-2.17), and snoring (OR=1.61, 95%CI: 1.59-1.63) were all positively correlated with pre-frailty, and dose-response relationships were observed between unhealthy sleep score and pre-frailty (P for trend<0.001), with OR values of 1.46 (1.44-1.48), 1.97 (1.93-2.00) and 3.43 (3.21-3.67) respectively for those having unhealthy sleep score of 1 to 3. These sleep problems were also positively correlated with frailty. Compared with the overweight or obesity group, stronger relationships were observed between short sleep duration and frailty or pre-frailty and between insomnia disorder and pre-frailty, while the relationships between snoring and frailty and pre-frailty were weaker in the participants with normal weight (P for interaction <0.007 for all). We also observed similar effect modification by central obesity. Conclusion: Long or short sleep duration, insomnia disorder, snoring and higher unhealthy sleep scores were positively correlated with pre-frailty or frailty, general and central obesity status could modify the relationships.

The Relationship between Central Obesity, Sleep Duration, and Energy Adequacy with Fatigue among Female Worker in PT Galaxy Surya Panelindo

Work fatigue is a problem that often occurs in female workers. The higher risk of fatigue among female workers is caused by several factors including nutritional status, energy adequacy level, and sleep duration. Central obesity status is associated with a decrease in the maximal oxygen capacity (VO2 max) that triggers work fatigue. Sleep is related to the recovery time of the body’s vital organs, while energy is needed for various body metabolisms. This research was aimed to analyze the relationship between central obesity, energy adequacy, and sleep duration with work fatigue in female workers at PT Galaxy Surya Panelindo. This study used a cross-sectional research design with a sample of 50 female production workers at PT Galaxy Surya Panelindo. The sampling technique used random sampling method. Data was collected by measuring waist circumference and hip circumference, Semi Quantitative Food Frequency Questionnaire (SQFFQ), Subjective Self Rating Test (SRRT), and sleep duration. There was no relationship between sleep duration and work fatigue (p=0.951). However there was a relationship between central obesity status (p=0.001), energy adequacy level (p=&lt;0.001) and work-nutrition fatigue. The nutritional status of central obesity and inadequate energy fulfillment, both excess or deficiency when compared to needs, can increase work fatigue. Therefore, the prevention of work fatigue can be done by implementing a healthy lifestyle and eating a balanced diet as needed.

Exposure to air pollution is associated with an increased risk of metabolic dysfunction-associated fatty liver disease

Accumulating animal studies have demonstrated the harmful contribution of ambient air pollution (AP) to metabolic dysfunction-associated fatty liver disease (MAFLD), but corresponding epidemiological evidence is limited. We examined the associations between long-term AP exposure and MAFLD prevalence in a Chinese population. We conducted a cross-sectional study of 90,086 participants recruited in China from 2018 to 2019. MAFLD was assessed based on radiologically diagnosed hepatic steatosis and the presence of overweight/obese status, diabetes mellitus, or metabolic dysregulation. Residence-specific levels of air pollutants, including particulate matter with aerodynamic diameters of ≤1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10), and nitrogen dioxide (NO2), were estimated by validated spatiotemporal models. We used logistic regression models to examine the AP-MAFLD associations and further evaluated potential effect modifications by demographics, lifestyle, central obesity, and diabetes status. Increased exposure levels to all 4 air pollutants were significantly associated with increased odds of MAFLD, with odds ratios (ORs) of 1.13 (95% CI 1.10-1.17), 1.29 (1.25-1.34), 1.11 (1.09-1.14), and 1.15 (1.12-1.17) for each 10 μg/m3 increase in PM1, PM2.5, PM10, and NO2, respectively. Further stratified analyses revealed that individuals who are male, alcohol drinkers, and current and previous smokers, those who consume a high-fat diet, and those with central obesity experience more significant adverse effects from AP exposure than other individuals. This study provides evidence that long-term exposure to ambient PM1, PM2.5, PM10, and NO2 may increase the odds of MAFLD in the real world. These effects may be exacerbated by unhealthy lifestyle habits and central obesity. We conducted an epidemiological study on the potential effect of ambient air pollution on the risk of metabolic dysfunction-associated fatty liver disease (MAFLD) in approximately 90 thousand adults in China. We found that long-term exposure to ambient air pollution may increase the odds of MAFLD, especially in individuals who are male, smokers, and alcohol drinkers, those who consume a high-fat diet, and those with central obesity.

Diabetes Status Modifies the Association Between Different Measures of Obesity and Heart Failure Risk Among Older Adults: A Pooled Analysis of Community-Based NHLBI Cohorts.

Obesity and diabetes are associated with a higher risk of heart failure (HF). The interrelationships between different measures of adiposity-overall obesity, central obesity, fat mass (FM)-and diabetes status for HF risk are not well-established. Participant-level data from the ARIC study (Atherosclerosis Risk in Communities; visit 5) and the CHS (Cardiovascular Health Study; visit 1) cohorts were obtained from the National Heart, Lung, and Blood Institute Biologic Specimen and Data Repository Information Coordinating Center, harmonized, and pooled for the present analysis, excluding individuals with prevalent HF. FM was estimated in all participants using established anthropometric prediction equations additionally validated using the bioelectrical impedance-based FM in the ARIC subgroup. Incident HF events on follow-up were captured across both cohorts using similar adjudication methods. Multivariable-adjusted Fine-Gray models were created to evaluate the associations of body mass index (BMI), waist circumference (WC), and FM with risk of HF in the overall cohort as well as among those with versus without diabetes at baseline. The population attributable risk of overall obesity (BMI≥30 kg/m2), abdominal obesity (WC>88 and 102 cm in women and men, respectively), and high FM (above sex-specific median) for incident HF was evaluated among participants with and without diabetes. The study included 10 387 participants (52.9% ARIC; 25.1% diabetes; median age, 74 years). The correlation between predicted and bioelectrical impedance-based FM was high (R2=0.90; n=5038). During a 5-year follow-up, 447 participants developed HF (4.3%). Higher levels of each adiposity measure were significantly associated with higher HF risk (hazard ratio [95% CI] per 1 SD higher BMI=1.15 [1.05, 1.27], WC=1.22 [1.10, 1.36]; FM=1.13 [1.02, 1.25]). A significant interaction was noted between diabetes status and measures of BMI (P interaction=0.04) and WC (P interaction=0.004) for the risk of HF. In stratified analysis, higher measures of each adiposity parameter were significantly associated with higher HF risk in individuals with diabetes (hazard ratio [95% CI] per 1 SD higher BMI=1.29 [1.14-1.47]; WC=1.48 [1.29-1.70]; FM=1.25 [1.09-1.43]) but not those without diabetes, including participants with prediabetes and euglycemia. The population attributable risk percentage of overall obesity, abdominal obesity, and high FM for incident HF was higher among participants with diabetes (12.8%, 29.9%, and 13.7%, respectively) versus those without diabetes (≤1% for each). Higher BMI, WC, and FM are strongly associated with greater risk of HF among older adults, particularly among those with prevalent diabetes.

Hubungan aktivitas fisik dan obesitas sentral dengan hiperglikemia wanita dewasa: Cross-sectional study

Women in Indonesia are a group at risk of experiencing high blood glucose levels with increasing age. The purpose of the study was to analyze the relationship between physical activity and central obesity on hyperglycemia in adult women. The type of research is quantitative with a cross-sectional design on adult women at the Telaga Biru Public Health Center, Gorontalo Regency in 2019. The sample size is 248 people using purposive sampling. The method of collecting physical activity data is measured using a Physical Activity Level (PAL) questionnaire, central obesity is measuring waist circumference, and current blood glucose levels for hyperglycemic status. The statistical test is the chi-square test with 95% CI. The results showed that physical activity included in the light category was very high at 91.1% and central obesity status was also high at 61,3%. The results of current blood glucose levels showed that respondents who experienced hyperglycemia were low at only 15,3%. Physical activity had no significant association with hyperglycemia (p= 0,142), central obesity had a significant association with hyperglycemia (p= 0,005). The conclusion is that central obesity has a significant relationship with the incidence of hyperglycemia in adult women with an OR value of 3,52

Factors Influencing Health-related Quality of Life according to Sitting-time of Elders Living Alone: Data from the 7th Korea National Health and Nutrition Examination Survey (2016~2018)

Purpose: The purpose of this study was to identify factors influencing health-related quality of life depending on time sitting by elders living alone.Methods: This was a secondary data analysis study of the 7th Korea Health and Nutrition Examination Survey (2016~2018). The participants in the study were 1,499 elderly people living alone who were 65 years of age or older.Results: The average time sitting for elders living alone was 8.93 hours. If they had more than eight hours of sedentary time, their physical and psychological health conditions and quality of life were lower than those in the group that had less than 8 hours. The factors influencing quality of life were age, household income, central obesity, and subjective health status for elders with sitting-time within 8 hours (R2=.28, p&lt;.001), and household income, economic activity, and subjective health status in elders with sitting-time over 8 hours (R2=.33, p&lt;.001).Conclusion: There were differences in factors affecting the quality of life depending on the length of sitting-time for elders living alone. Depending on the length of sitting-time, it is necessary to establish nursing interventions to promote physical and psychological health to improve the quality of life of elders living alone.

Sedentary Behaviour Among Male Adolescents in Sagamu, Southwest Nigeria.

Sedentary behaviour (SB) is a leading risk factor for development of non-communicable diseases (NCDs) and associated morbidity worldwide. Several studies have reported a high prevalence of sedentary behaviour among adolescents in developing countries with a male preponderance. The Nigerian male adolescent is similarly faced with lifestyle challenges as his counterparts in other countries. This study determined the pattern, knowledge and factors associated with sedentary behaviour among male adolescents in Sagamu, Nigeria. A cross-sectional study was carried out among 330 in-school male adolescents in Sagamu, selected via multi-stage sampling technique. Data were collected using a semi-structured, self-administered questionnaire and analyzed using IBM SPSS version 20. Relevant descriptive and inferential statistics were calculated, with p < .05. Participation was fully voluntary and strict confidentiality was ensured. The mean age of respondents was 15.9 ± 1.4 years; 86.9% of respondents were aged 15-19years. About 94.8% of sedentary respondents had poor knowledge. Over 90% of respondents were sedentary. Screen-based behaviour (79%) contributed more to respondents' pattern of SB while using a tablet or a smart phone (23.6%) singularly contributed the largest to sedentariness. SB was associated with motorized transport (p = .038), smoking (p ≤ .001) and central obesity status (p = .040) but not with socio-demographic characteristics and alcohol intake. Knowledge of SB was poor among respondents. The prevalence of sedentary behaviour was high and associated with central obesity, smoking and motorized transport. School-based interventions including health education, should be initiated to reduce the risk of developing NCDs.

Impact of road traffic noise on obesity measures: Observational study of three European cohorts

Background: Environmental stressors such as transport noise may contribute to development of obesity through increased levels of stress hormones, sleep deprivation and endocrine disruption. Epidemiological evidence supporting an association of road traffic noise with obesity markers is still relatively scant and confined to certain geographical regions. We aimed to examine the cross-sectional associations between road traffic noise and obesity markers in three large European cohorts involving nearly 500,000 individuals.Methods: Three population-based cohorts (UK Biobank, Lifelines, HUNT3) were established between 2006 and 2013 in the UK, the Netherlands and Norway respectively. For all three cohorts, residential 24-h road traffic noise (Lden) for 2009 was modelled from a standardised European noise assessment framework. Residential exposures to NO2 for 2007 and PM2.5 for 2010 were estimated from Europe-wide land use regression models. Obesity markers including body mass index and waist circumference were measured at recruitment. Obesity and central obesity status were subsequently derived. Regression models were fitted in each cohort, adjusting for a harmonised set of demographic and lifestyle covariates, with further adjustments for air pollution in the main model.Results: The main analyses included 412,934 participants of UK Biobank, 61,032 of Lifelines and 30,305 of HUNT3, with a mean age of 43–56 years and Lden ranging 42–89 dB(A) across cohorts. In UK Biobank, per 10 dB(A) higher of Lden: BMI was higher by 0.14kg/m2 (95%CI: 0.11–0.18), waist circumference higher by 0.27 cm (95%CI: 0.19–0.35), odds of obesity was 1.06 (95%CI: 1.04–1.08) and of central obesity was 1.05 (95%CI: 1.04–1.07). These associations were robust to most other sensitivity analyses but attenuated by further adjustment of PM2.5 or area-level socioeconomic status. Associations were more pronounced among women, those with low physical activity, higher household income or hearing impairment. In HUNT3, associations were observed for obesity or central obesity status among those exposed to Lden greater than 55 dB(A). In contrast, no or negative associations were observed in the Lifelines cohort.Conclusions: This largest study to date providing mixed findings on impacts of long-term exposure to road traffic noise on obesity, which necessitates future analyses using longitudinal data to further investigate this potentially important epidemiological link.

Association between sleep duration and asthma in different weight statuses (CHNS 2009–2015)

Inadequate sleep duration affects asthma and weight. The associations among sleep duration, asthma, and different weight statuses in the Chinese population need to be further determined. The study included 32,776 Chinese adults from the China Health and Nutrition Survey during 2009-2015. Self-reported sleep duration was classified into three groups: ≤ 6 h (short), 7 to 8 h (optimal), and ≥ 9 h (long). Age, sex, smoking, drinking alcohol, and residence location were adjusted as potential confounding factors in a generalized estimating equations model. The prevalence of asthma in the Chinese population was approximately 1.17% (383/32,776). Asthmatics were associated with shorter sleep duration and higher indices of central obesity (mean waist circumference, waist to height ratio, and conicity index) than the population without asthma. After adjusting for potential confounding factors, odds ratios (ORs) indicated positive associations between sleep duration and asthma (short vs optimal, adjusted OR = 1.74, 95%CI 1.33, 2.26; and long vs optimal, adjusted OR = 1.51, 95%CI 1.18, 1.93). When stratified by weight status, the participants with central obesity showed highest prevalence of asthma among the three sleep duration groups. With the adjustment of confounding factors, underweight and obesity grouped by waist to height ratio and conicity index remained associated with higher risk of asthma among short and long sleepers than in optimal sleepers. Short and long sleepers with central obesity and underweight status were associated with significantly higher prevalence of asthma than optimal sleepers in Chinese adults.

Changes in overweight/obesity and central obesity status from preadolescence to adolescence: a longitudinal study among schoolchildren in Japan

BackgroundLittle is known about changes in overweight/obesity and central obesity status among schoolchildren from preadolescence to adolescence in Japan, where waist circumference (WC) is generally not measured in annual health examinations at elementary and junior high schools. This study examined changes of overweight/obesity and central obesity status among schoolboys and schoolgirls from preadolescence to adolescence in Japan.MethodsStudy subjects were fourth-grade school children (9 or 10 years of age) from all four of Ina town’s elementary schools in Japan. Measurement of each participant’s height, weight, and WC were made at baseline and 3 years later. Childhood overweight/obesity was determined according to the age- and sex-specific body mass index cut-off points proposed by the International Obesity Task Force. Central obesity was defined as waist-to-height ratio ≥ 0.5. Kappa (κ) statistic was calculated to examine the tracking of overweight/obesity and central obesity.ResultsData from 1436 participants (boys: n = 720, girls: n = 716) were analyzed. Overweight/obesity status tracked substantially from fourth grade to seventh grade in both boys (κ = 0.614, P value < 0.001) and girls (κ = 0.619, P value < 0.001). Among participants who were overweight/obese in fourth grade, 55.2% of boys and 63.2% of girls were still overweight/obese in seventh grade. Tracking of central obesity from fourth graders to seventh graders was substantial in boys (κ = 0.651, P value < 0.001) and moderate in girls (κ = 0.544, P value < 0.001). Among participants who had central obesity in fourth grade, 54.1% of boys and 52.6% of girls still had central obesity in seventh grade.ConclusionsThe present study showed that the tracking of overweight/obesity from preadolescence to adolescence was substantial in boys and girls. Moreover, more than half of those who had central obesity in preadolescence had central obesity in adolescence. This study suggests that it is important to implement a primary prevention program for overweight/obesity and central obesity in elementary schools before fourth grade.

Dietary-lifestyle patterns associated with adiposity and metabolic abnormalities in young men: cross-sectional study (MeDiSH Project)

AbstractThe aim of this study was to examine the associations of dietary-lifestyle patterns (DLPs) with adiposity and metabolic abnormalities in young Polish men. The cross-sectional study included 367 men 19–40-year-old. Dietary and lifestyle behaviours were determined with food frequency questionnaire (Jezewska-Zychowicz et al. 2018, http://www.knozc.pan.pl). DPLs were derived with Principal Component Analysis. Body size and composition was assessed using measuring tapes and bioelectrical impedance analysis (BIA) method. Adiposity was determined by the assessment of excessive body weight (body mass index, BMI = 25–29.9kg/m2 for overweight and ≥ 30kg/m2 for obesity), body-fat content (percentage body fat, %BF &gt; 25%), central obesity status (waist circumference, WC &gt; 102cm) and skeletal muscle mass (SMM &lt; 31kg/m2). Metabolic abnormalities were determined if parameters exceeded: 100mg/dL for fasting blood glucose (FBG), 150mg/dL for triglycerides (TG), 200mg/dL for total cholesterol (TC) and at least one component of blood pressure (BP) was above the norm (SBP ≥ 130mmHg or/and DBP ≥ 80mmHg). Multivariate logistic regression was used to calculate odds ratio (OR) and verify the association between variables. Four DLPs were derived, explaining 33% of the variance. Greater adherence (upper vs. bottom tertile) to “Protein food, fried-food and recreational physical activity” (DLP1) and “Healthy diet, activity at work, former smoking” (DLP4) patterns was associated with higher odds of being overweight (odds ratio, OR = 2.12, 95% confidence interval, 95%CI: 1.15–3.89; 3.05,1.69–5.53) but with high SMM (2.62, 1.53–4.49; 3.27, 1.91–5.59) and lower odds of central obesity (0.36, 0.16–0.83; 0.30, 0.12–0.74) and high body-fat content (0.22, 0.11–0.43; 0.37, 0.19–0.72). In addition, men from the upper tertile of DLP1 had lower odds of increased TC (0.43, 0.24–0.75). Greater adherence to “Sandwiches and convenience foods” pattern (DPL2) was associated with higher odds of central obesity (3.36,1.38–8.12), high body-fat content (3.69, 1.88–7.24) and high TC (2.50, 1.47–4.59) and lower odds of high SMM (0.54,0.32–0.90). Greater adherence to “Fast foods and stimulants” pattern (DLP3) was associated with higher odds of general and central obesity (2.56,1.00–6.56; 3.54, 1.53–8.19), high body-fat content (4.47, 2.05–9.73), but not with metabolic abnormalities. No associations between upper tertiles of DLPs and FBG, TG and BP were found. The clustering of dietary and lifestyle behaviours in men revealed that healthy diet attempts combined with active lifestyle, at work or leisure time, reduced risk of adiposity and metabolic abnormalities, despite some unhealthy components, former smoking or fried-food consumption. The study strengthens previous findings that unhealthy dietary behaviours have an adverse effect on adiposity outcomes and metabolic health, potentially through the mechanisms associated with central obesity.