Relationship of Anthropometric Indicators of General and Abdominal Obesity with Hypertension and Their Predictive Performance among Albanians: A Nationwide Cross-Sectional Study

Anthropometric indicators of general and abdominal obesity can predict cardiovascular disease outcomes. Their performance in predicting hypertension (HTN) varies across populations. We aimed to analyze the relationship of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and conicity index (CI) with HTN, to examine their predictive performance and to determine their optimal cut-offs in a nationally representative sample of Albanians aged 15–59 years (n = 20,635). Logistic regression models were fitted and sex-specific receiver-operating characteristic (ROC) curves were constructed. The indicators were positively associated with HTN. Sex modified the relationships, as associations appeared significantly stronger among females than males in the highest categories of the indicators. The area under ROC curves (AUCs) for BMI were 0.729 (95% confidence interval (CI): 0.720–0.738) among females and 0.648 (95% CI: 0.633–0.663) among males, and AUCs for WHtR were 0.725 (95% CI: 0.716–0.734) among females and 0.637 (95% CI: 0.622–0.652) among males. However, the AUCs for BMI and WHtR did not differ significantly among females (p = 0.279) and males (p = 0.227). BMI outperformed WC and CI in both sexes. The optimal BMI cut-offs were 27.0 kg/m2 among females and 25.6 kg/m2 among males, and that for WHtR were 0.53 among females and 0.54 among males. BMI and WHtR demonstrated similar discriminatory power, and the identified cut-offs may inform initiatives for structured HTN screening in Albania.

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Mood and Metabolic Health Status of Elderly Osteoporotic Patients in Korea: A Cross-Sectional Study of a Nationally Representative Sample

Healthcare ◽

10.3390/healthcare9010077 ◽

2021 ◽

Vol 9 (1) ◽

pp. 77

Author(s):

Hyen Chul Jo ◽

Gu-Hee Jung ◽

Seong-Ho Ok ◽

Ji Eun Park ◽

Jong Chul Baek

Keyword(s):

Abdominal Obesity ◽

Bone Health ◽

Elderly Women ◽

Cross Sectional Study ◽

Cross Sectional ◽

Standard Procedures ◽

Nationally Representative ◽

Male Subjects ◽

Female Subjects

This study aimed to investigate the association between osteoporosis and comorbidity, which are very common in Korea, and develop a treatment strategy to improve bone health based on the findings of the Korean National Health and Nutritional Examination Surveys (KNHANES). This study was based on data obtained from 4060 subjects (1755 males, 2305 females) aged above 60 years in the KNHANES (2016–2017). Well-trained medical staff performed the standard procedures and measured several variables including height, weight, and waist circumference. Interviews and laboratory tests were based on the diagnosis of hyperuricemia, dyslipidemia, type 2 diabetes mellitus (T2DM), osteoporosis, and depression. Comorbidities were defined as a self-reported physician diagnosis. The association of osteoporosis with depression and metabolic disease was assessed statistically using the complex sample analysis method of SPSS. The presence of osteoporosis, dyslipidemia, T2DM, hyperuricemia, obesity, abdominal obesity, and depression was 6.1 ± 0.5%, 15.2 ± 0.7%, 6.5 ± 0.4%, 13.4 ± 0.7%, 30.8 ± 0.8%, 19.4 ± 0.9%, 4.0 ± 0.2%, respectively. After adjusted by age, osteoporotic subjects were significance in the presence of abdominal obesity (p = 0.024, OR 0.80), hyperuricemia (p = 0.013, OR 0.68), dyslipidemia (p < 0.001, OR 1.84), and depression (p < 0.001, OR 2.56), respectively. Subgroup analyses showed dyslipidemia (female subjects, p < 0.001, OR 1.04; male subjects, p = 0.94, OR 1.09) and depression (female subjects, p < 0.001, OR 1.76; male subjects, p = 0.51, OR 0.62) were associated with osteoporotic female subjects but not in male subjects. The comorbidity of dyslipidemia and depression in female subjects was associated with osteoporosis and an odds ratio was 13.33 (95% CI: 8.58–20.71) (p < 0.001). The comorbidity of abdominal obesity (female subjects, p = 0.75, OR 0.97; male subjects, p = 0.94, OR 1.02) and hyperuricemia (female subjects, p = 0.27, OR 0.81; male subjects p = 0.07, OR 0.35) was not associated with osteoporosis in both Subgroup. The result of this study shows a strong dependency of comorbidity with dyslipidemia and depression in elderly women with osteoporosis. Therefore, efforts to improve dyslipidemia and depression might prevent compromised bone health.

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Daily branch chained amino acid intakes and the risk of obesity among women with prior gestational diabetes mellitus

10.21203/rs.3.rs-202675/v1 ◽

2021 ◽

Author(s):

Xiaoyun Yang ◽

Weiqin Li ◽

Wei Li ◽

Huikun Liu ◽

Leishen Wang ◽

...

Keyword(s):

Diabetes Mellitus ◽

Amino Acid ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Abdominal Obesity ◽

Cross Sectional Study ◽

Dietary Intakes ◽

Cross Sectional ◽

Logistic Regression Models ◽

Daily Energy

Abstract Background Some studies have found that branched amino acid (BCAA) is associated with the risk of obesity among general population, however, not all the results were consistent. The present study aimed to investigate the association of daily BCAA intakes with the risk of postpartum overweight and abdominal obesity among women with prior gestational diabetes mellitus (GDM). Methods We performed a cross-sectional study of 1263 women with prior GDM at 1–5 years post-delivery. Logistic regression models were used to estimate the association of daily dietary intakes of BCAAs with the risk of overweight and abdominal obesity. Results The multivariable-adjusted odds ratio (OR) across quartiles of daily BCAA intakes were 1.42 (95% confidence interval [CI] 1.02–1.97), 1.00 (reference), 1.21 (95% CI 0.88–1.68), and 1.31 (95% CI 0.95–1.81) for general overweight, and 1.38 (95% CI 0.99–1.90), 1.00, 1.19 (95% CI 0.86–1.64), and 1.43 (95% CI 1.04–1.98) for abdominal obesity, respectively. Only women with the lowest quartile of daily BCAA intakes significantly increased the risks of general overweight (OR 1.49; 95 %CI 1.06–2.09) and abdominal obesity (OR 1.50; 95 %CI 1.08–2.11) compared with women at quartile 2 of daily BCAA intakes after further adjustment of daily energy intake. Conclusions The present study indicated U-shaped associations between daily BCAA intakes and the risk of general overweight and abdominal obesity among women with prior GDM.

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Consumption of ultra-processed foods is associated with abdominal obesity in rotating shift workers

10.21203/rs.3.rs-1074710/v1 ◽

2021 ◽

Author(s):

Luiz Antônio Alves de Menezes Júnior ◽

Virgínia Capistrano Fajardo ◽

Jonathas Assis de Oliveira ◽

George Luiz Lins Machado-Coelho ◽

Fausto Aloísio Pedrosa Pimenta ◽

...

Keyword(s):

Abdominal Obesity ◽

Multivariable Analysis ◽

Saturated Fat ◽

Cross Sectional Study ◽

Processed Foods ◽

Cross Sectional ◽

Shift Workers ◽

Logistic Regression Models ◽

Body Adiposity ◽

Increased Risk

Abstract Background and aims: Higher intake of ultra-processed foods might be associated with an increased risk of obesity. Our objective was to evaluate the consumption of ultra-processed foods and their association with nutrient intake and excess body adiposity in shift workers.Design: Cross-sectional study conducted in 2016 with 238 male rotating shift workers. Dietary data is obtained by the 24-hour recall and classified according to processing by the NOVA classification system. Body adiposity indicators assessed were waist circumference and body mass index. Logistic regression models were built and adjusted for sociodemographic, lifestyle, and dietary variables.Results: Ultra-processed foods represented on average 22.3% of the total caloric value of the individuals' food consumption, with a maximum value of 66.9%. Participants with the highest tercile of ultra-processed foods consumed more carbohydrate (57%), protein (35%), total fat (96%), saturated fat (79%), cholesterol (68%), and sodium (44%) intake compared to the first tercile (p < 0.001). The most frequencies of ultra-processed foods consumed were bread (81.0%), followed by cookies (45.9%), sweetened beverages (45.7%), processed meats (46.8%), and margarine (46.8%). In multivariable analysis, the highest consumption of ultra-processed foods had 183% higher odds of abdominal obesity (OR = 2.83, 95%CI 1.29-6.22), compared with the lowest consumption. Conclusion: Ultra-processed foods are important contributors to the energy intake of these workers, and higher consumption of ultra-processed foods was associated with abdominal obesity.

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Correlation of anthropometric indicators for identifying insulin sensitivity and resistance

Sao Paulo Medical Journal ◽

10.1590/s1516-31802011000100006 ◽

2011 ◽

Vol 129 (1) ◽

pp. 30-35 ◽

Cited By ~ 13

Author(s):

Lívia Nascimento Matos ◽

Guilherme de Vieira Giorelli ◽

Cristiane Bitencourt Dias

Keyword(s):

Insulin Sensitivity ◽

Statistical Significance ◽

Cross Sectional Study ◽

Model Assessment ◽

Cross Sectional ◽

Overweight Women ◽

Anthropometric Indicators ◽

Cutoff Points ◽

Conicity Index ◽

The City

CONTEXT AND OBJECTIVES: Early detection of reduced insulin sensitivity (IS) and insulin resistance (IR) is desirable. The aim here was to evaluate correlations of anthropometric indicators for identifying IR or IS and determine the cutoff points of the most effective indicators. DESIGN AND SETTING: Cross-sectional study in the city of São Paulo. METHODS: Sixty-one individuals with normal fasting plasma glucose (NFPG) and 43 overweight women were analyzed. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio, waist-to-height ratio (WHtR), conicity index and the HOMA-IS and HOMA-IR indices were determined. The correlations between the anthropometric indices and IS and IR were determined. ROC analysis was used to determine the areas under the curve (AUC) and cutoff points. RESULTS: Among the NFPG individuals, BMI (r = -0.50; P = 0.002) and WHtR (r = -0.45; P = 0.007) showed correlations with HOMA-IS (homeostasis model assessment of insulin sensitivity). The ROC curve demonstrated statistical significance for BMI (AUC = 0.769; P = 0.005), WHtR (AUC = 0.764; P = 0.01) and WC (AUC = 0.702; P = 0.04), and the best cutoff points were 33.3 kg/m², 0.67 and 100 cm, respectively. Among the overweight women, the best correlation with HOMA-IR was demonstrated by WHtR (r = 0.37; P = 0.01), and the best cutoff point was 0.70 (AUC = 0.61; P = 0.25). CONCLUSION: The most promising indicators for showing IS among the NFPG individuals were BMI, WHtR and WC. Among the overweight women, WHtR demonstrated greater correlation with IR

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Milk-Fat Intake and Differences in Abdominal Adiposity and BMI: Evidence Based on 13,544 Randomly-Selected Adults

Nutrients ◽

10.3390/nu13061832 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1832

Author(s):

Klarissa R. Wilkinson ◽

Larry A. Tucker ◽

Lance E. Davidson ◽

Bruce W. Bailey

Keyword(s):

Abdominal Obesity ◽

Milk Fat ◽

Strong Predictor ◽

Cross Sectional Study ◽

Fat Intake ◽

Abdominal Adiposity ◽

Cross Sectional ◽

Sagittal Abdominal Diameter ◽

Cardiometabolic Disorders ◽

Nationally Representative

The primary purpose of this investigation was to evaluate the relationship between milk-fat intake and obesity, particularly abdominal obesity, in 13,544 U.S. adults. A lesser objective was to measure the degree to which the association was influenced by multiple potential confounding variables. This cross-sectional study used data from the 2011–2016 National Health and Nutrition Examination Survey (NHANES). Quantity of milk-fat regularly consumed was the exposure variable. Sagittal abdominal diameter (SAD), a measure of abdominal obesity, and body mass index (BMI) were the outcome variables. Sagittal abdominal diameter is a strong predictor of visceral abdominal fat, when measured by computed tomography, and has been shown to predict cardiometabolic disorders better than BMI. After controlling for age, race, gender, physical activity, leisure computer use and gaming, alcohol habits, and cigarette use, significantly lower BMIs were associated with consistent non-fat and full-fat milk consumption (F = 4.1, p = 0.0063). A significantly lower SAD was associated only with regular consumption of non-fat milk (F = 5.0, p = 0.0019). No significant differences were detected between the other milk-fat groups or milk abstainers. In this nationally representative sample, only 19.6% of adults regularly consumed low-fat milk. In conclusion, consistent non-fat milk intake was predictive of lower levels of abdominal adiposity compared to consumption of higher levels of milk-fat.

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Spontaneous and repeat spontaneous abortion risk in relation to occupational characteristics among working Korean women: a cross-sectional analysis of nationally representative data from Korea

BMC Public Health ◽

10.1186/s12889-019-7728-7 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Wanhyung Lee ◽

Sung Won Jung ◽

Young-Mee Lim ◽

Kyung-Jae Lee ◽

June-Hee Lee

Keyword(s):

Spontaneous Abortion ◽

Working Women ◽

Working Hours ◽

Cross Sectional Study ◽

Korean Women ◽

Cross Sectional ◽

Logistic Regression Models ◽

Occupational Characteristics ◽

Nationally Representative ◽

Weighted Prevalence

Abstract Background The association between spontaneous abortion (SA) and occupational characteristics among working women is not well-studied. This study aimed to assess the risk of SA and occupational factors such as occupational classification, working hours, and work schedules among working Korean women aged > 19 years. Methods In this cross-sectional study, 4078 working women were identified from among 25,534 workers in the Korea National Health and Nutrition Examination Surveys V (2010–2012) database, to obtain data on SA history and the number of SAs. Odds ratios (ORs) and 95% confidence intervals (CIs) for SA were calculated using multiple logistic regression models after adjusting for age, education, household income, cigarette smoking, alcohol consumption, and obesity status. The weighted prevalence for the number of SAs was calculated according to occupational characteristics to demonstrate the SA status among working Korean women. Results SA occurrence was reported in 5.7% of the study participants. The ORs (95% CIs) for SA were significantly higher in pink-, green-, and blue-collared workers than in white-collared workers. Regarding weekly working hours, compared with ≤50 h spent working, the ORs (95% CIs) for 51–60, 61–70, and > 70 h per week were 1.26 (0.87–1.84), 1.63 (1.04–2.56), and 1.73 (1.10–2.70), respectively. A significantly higher weighted prevalence of repeat SAs was observed in pink- and green-collared workers and in those who worked long hours. Conclusion We found a significant association between SA, repeat SA, and occupational characteristics among working Korean women.

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Propriedade diagnóstica dos indicadores antropométricos na predição do excesso de gordura corporal estimado por meio do DXA em mulheres hipertensas

Brazilian Journal of Kinanthropometry and Human Performance ◽

10.5007/1980-0037.2017v19n3p299 ◽

2017 ◽

Vol 19 (3) ◽

pp. 299

Author(s):

Camila Tomicki ◽

Aline Mendes Gerage ◽

Raphael Mendes Ritti-Dias ◽

Diego Augusto Santos Silva ◽

Tânia Rosane Bertoldo Benedetti

Keyword(s):

Body Fat ◽

Roc Curve ◽

Reference Method ◽

Cross Sectional Study ◽

Height Ratio ◽

Cross Sectional ◽

Anthropometric Indicators ◽

Waist To Height Ratio ◽

Total Fat ◽

Conicity Index

Excess body fat is an important risk factor for the development of arterial hypertension. The aim of this study was to verify the diagnostic performance of anthropometric indicators in the prediction of excess body fat estimated by Dual-energy Radiometric Absorptiometry (DXA) in hypertensive women. A cross-sectional study with 71 hypertensive women (57.9 ± 10.1 years; 77.8 ± 15.1 kg; 156.8 ± 5.2 cm) was carried out. he anthropometric indicators analyzed were: Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), Waist-to-Height Ratio (WHtR) and Conicity Index (C Index). Body fat measured by DXA was used as the reference method. Descriptive statistics and ROC curve were used for data analysis. Comparing the anthropometric indicators with the percentage of total fat estimated by DXA, signiicant diferences were observed in BMI, WC and WHR (P <0.05). In relation to the percentage of trunk fat, a diference was identiied in BMI and WC (P <0.05). Among the anthropometric indicators analyzed, BMI (0.83), WC (0.79) and WHtR (0.80) had the largest areas under the ROC curve in relation to excess body fat determined by DXA. he cutof points were conservative in relation to those suggested in literature. Anthropometric indicators BMI (24.72 kg/m²), WC (87.81 cm) and WHtR (0.55) can be adopted in the evaluation of excess body fat in hypertensive women, since they demonstrated to be good predictors when confronted with DXA.

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Multimorbidity in cardiovascular disease and association with life satisfaction: a Chinese national cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-042950 ◽

2020 ◽

Vol 10 (12) ◽

pp. e042950

Author(s):

Guihao Liu ◽

Yunlian Xue ◽

Yuanhui Liu ◽

Sheng Wang ◽

Qingshan Geng

Keyword(s):

Cardiovascular Disease ◽

Life Satisfaction ◽

Kidney Disease ◽

Chronic Diseases ◽

Cross Sectional Study ◽

Multiple Chronic Conditions ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Nationally Representative

BackgroundThe coexistence of multiple chronic conditions is very common in cardiovascular disease (CVD). However, the prevalence of CVD multimorbidity in China and its influence on life satisfaction have not been reported. This study aimed to investigate the proportions of 12 chronic comorbid diseases in CVD and the associations of multimorbidity with life satisfaction in patients with CVD.MethodsWe conducted a cross-sectional study in a nationally representative sample of 3478 participants with CVD aged 45 years or more who participated in the China Health and Retirement Longitudinal Study 2015. Correlations of multimorbidity with 12 chronic diseases in CVD and life satisfaction were investigated using logistic regression models, after adjusting for 12 covariates.ResultsThe proportion of multimorbidity among participants with CVD was 93.3% (89.4% for middle-aged adults and 95.4% for older adults; 92.9% for men and 93.5% for women). The proportion of participants with CVD multimorbidity who were dissatisfied with life was 11.2%, significantly higher than those without any chronic diseases (χ2=5.147, p=0.023). Life satisfaction in patients with CVD decreased with increased number of comorbidities (χ2=45.735, p<0.001). Kidney disease (OR=1.933, 95% CI: 1.483 to 2.521), memory-related diseases (MRDs) (OR=1.695, 95% CI: 1.149 to 2.501) and dyslipidaemia (OR=1.346, 95% CI: 1.048 to 1.729) were significantly associated with reduced life satisfaction when adjusting for 12 covariates.ConclusionsIn this nationally representative cross-sectional study, life satisfaction was reduced by multimorbidity of CVD. Kidney disease had the greatest influence on life satisfaction in patients with CVD, followed by dyslipidaemia and MRDs. Our study emphasises the importance of preventing of chronic diseases in adults with CVD.

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The association between triglyceride glucose index and depression: data from NHANES 2005–2018

BMC Psychiatry ◽

10.1186/s12888-021-03275-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Yi-Yi Shi ◽

Rui Zheng ◽

Jie-Jie Cai ◽

Song-Zan Qian

Keyword(s):

Depressive Symptoms ◽

Fasting Blood Glucose ◽

Age Groups ◽

Cross Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Tyg Index ◽

Patient Health ◽

Nationally Representative ◽

Using Data

Abstract Background The association between triglyceride glucose (TyG) index and depression is unclear. We conducted this analysis to explore whether higher TyG index is associated with a higher odd of depression. Methods This was an observational study using data from the National Health and Nutrition Examination Survey (2005–2018), a cross-sectional and nationally representative database. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). TyG index was calculated based on the equation as follows: ln [triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2], and participants were divided into quartiles based on TyG index. Weighted multivariable logistic regression models were used to explore the relationship between the TyG index and depression. Results A total of 13,350 patients were included, involving 1001 (7.50%) individuals with depression. Higher TyG index is significantly associated with elevated depressive symptoms in U.S. adults. Multivariate-adjusted HRs for patients in the TyG index 4th quartile were higher for depression (OR = 1.46; 95% confidence interval (CI) 1.30, 1.64) compared with the 1st quartile of TyG index. Similar results were seen in men and women, across age groups, and baseline comorbidities. Conclusion In this large cross-sectional study, our result suggests that population with higher TyG index are significantly more likely to have depressive symptoms in U.S. adults.

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The Prevalence of Abdominal Obesity and Its Correlates among the Adults in Dodoma Region, Tanzania: A Community-Based Cross-Sectional Study

Advances in Medicine ◽

10.1155/2018/6123156 ◽

2018 ◽

Vol 2018 ◽

pp. 1-8 ◽

Cited By ~ 7

Author(s):

Mariam John Munyogwa ◽

Abdalla Hussein Mtumwa

Keyword(s):

Waist Circumference ◽

Abdominal Obesity ◽

Simple Random Sampling ◽

Cross Sectional Study ◽

Overweight And Obesity ◽

Noncommunicable Diseases ◽

Cross Sectional Survey ◽

Community Based ◽

Cross Sectional ◽

Logistic Regression Models

Introduction. Overweight and obesity are a threat to the public health following their association with noncommunicable diseases, such as type 2 diabetes mellitus, cardiovascular disease, and some cancers. Despite this fact, the information on overweight and obesity, particularly in most developing countries, is still scarce to address the problem. This article partly addresses the gap through the findings of a cross-sectional survey that was conducted in Dodoma Region, Central Tanzania, to determine the prevalence and correlates of abdominal obesity among adults. Methods. Using a community-based cross-sectional survey, data were generated from the participants who aged 18 years and above. Simple random sampling and Kish selection table techniques were used to get the sample who responded through a face-to-face-administered questionnaire. Waist circumference was measured using the guideline of the WHO protocol of measuring waist and hip circumference. Abdominal obesity is defined as a condition with waist circumference >102 cm for men and >88 cm for women. Prevalence was computed with a 95% confidence interval. Simple and multiple logistic regression models were fitted to identify the risk factors associated with abdominal obesity. Results. A total of 840 respondents took part in the study. The overall prevalence of abdominal obesity was found to be 24.88% (209/840). The prevalence of abdominal obesity was significantly higher among women than men (35.14% vs. 6.89%, p<0.0001) and higher among urban dwellers (33.56%) than their rural counterparts (15.56%). Correlates of abdominal obesity was found to be gender, marital status, place of residence, age, education level, and the time used in watching television. Conclusion. This study revealed a high prevalence of abdominal obesity among the people living in the Dodoma Region. Increased age, urban residence, more time spent on television, less walking per day, and being ever married were all associated with having abdominal obesity in this population.

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