Associations of Urine Specific Gravity With Body Mass Index and Lean Body Mass at the Population Level: Implications for Hydration Monitoring

2021 ◽  
pp. 1-7
Author(s):  
Patrick B. Wilson
Keyword(s):  
Body Mass Index ◽  
Body Size ◽  
Specific Gravity ◽  
Lean Body Mass ◽  
Body Mass ◽  
Population Level ◽  
Dietary Sodium ◽  
Urine Specific Gravity ◽  
Cross Sectional ◽  
Logistic Regression Models

Urine specific gravity (USG) thresholds are used in practice and research to determine hypohydration. However, some limited research has found that body size and body composition may impact USG, suggesting that fixed cutoffs may be insensitive. Cross-sectional data from 3,634 participants of the 2007–2008 National Health and Nutrition Examination Survey were analyzed. Along with USG, body mass index (BMI), estimated lean body mass (LBM), and dietary intake were quantified. Logistic regression models were used to evaluate whether higher quintiles of BMI and LBM were associated with elevated USG (USG ≥ 1.020 and ≥1.025) after accounting for dietary moisture and sodium. The USG (1.018 ± 0.0003 vs. 1.015 ± 0.0004); BMI (28.4 ± 0.2 vs. 28.0 ± 0.2 kg/m2); LBM (60.9 ± 0.3 vs. 42.2 ± 0.2 kg); dietary moisture (3,401 ± 92 vs. 2,759 ± 49 g/day); and dietary sodium (4,171 ± 85 vs. 2,959 ± 50) were greater in men than in women (p < .05). Men and women in the fifth quintiles of BMI or LBM (vs. Quintile 1) had greater odds (2.00–3.68, p < .05) of elevated USG. (The only exception was for the association between BMI and USG ≥ 1.025 in men.) Being in Quintile 4 of LBM or BMI (vs. Quintile 1) also tended to be associated with higher odds of elevated of USG, though this pattern was more consistent when using USG ≥ 1.020 than USG ≥ 1.025. In summary, BMI and LBM are associated with USG at the population level. These results affirm that USG depends on body size and composition and raise questions about using fixed USG thresholds for determining hypohydration, particularly for people in the upper quintiles of BMI and LBM.

Association between body mass index and diabetic retinopathy in Asians: the Asian Eye Epidemiology Consortium (AEEC) study

2021 ◽  
pp. bjophthalmol-2020-318208
Author(s):  
Charumathi Sabanayagam ◽  
Rehena Sultana ◽  
Riswana Banu ◽  
Tyler Rim ◽  
Yih Chung Tham ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Diabetic Retinopathy ◽  
Body Mass ◽  
Population Based ◽  
Pooled Analysis ◽  
Haemoglobin A1c ◽  
Inverse Association ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Significant Inverse Association

Background/aimsObesity is a well-known risk factor for diabetes, but its association with diabetic retinopathy (DR) is inconclusive, in particular in Asians. We aimed to assess whether body mass index (BMI) is associated with the presence and severity of DR in Asian populations with diabetes.MethodsPooled analysis of individual-level cross-sectional data from 10 010 adults with diabetes who participated in 12 population-based studies conducted in China, India, Japan, Russia (Asian), Singapore and South Korea that were part of the Asian Eye Epidemiology Consortium (AEEC). BMI was calculated as weight in kilograms divided by height in square metres and categorised into normal (<25 kg/m2, reference), overweight (25–29.9 kg/m2) and obese (≥30 kg/m2). Any-DR (n=1669) and vision-threatening DR (VTDR, n=489) were assessed from digital retinal photographs and graded according to standard protocols. Each study was analysed separately using multivariable logistic regression models adjusted for age, sex, haemoglobin A1c%, systolic blood pressure and diabetes duration, and the estimated odds ratios (ORs) and 95% confidence interval (CIs) from all studies were then combined using random-effects models.ResultsIn multivariable models, obesity showed a significant inverse association with any-DR (pooled OR (95% CI) =0.74 (0.59 to 0.91)) and VTDR (0.75 (0.60 to 0.93)). Similarly, in continuous analysis, BMI showed a significant inverse association with both any-DR (0.93 (0.87 to 0.99)) and VTDR (0.79 (0.68 to 0.92) per SD increase). Overweight did not show a significant association with any-DR.ConclusionsAmong Asian adults with diabetes, both BMI and obesity showed an inverse association with DR. These findings warrant confirmation in further longitudinal studies.

scholarly journals Feeding and nutritional profiles of children at 12 months of age living in the western region of the city of São Paulo: The Procriar Project

2017 ◽  
Vol 30 (6) ◽  
pp. 691-701
Author(s):  
Silvia Regina Dias Medici SALDIVA ◽  
Patrícia Gama BONINI ◽  
Sonia Isoyama VENANCIO ◽  
Rossana Pulcineli Vieira FRANCISCO ◽  
Sandra Elisabete VIEIRA
Keyword(s):  
Body Mass Index ◽  
Food Consumption ◽  
Body Mass ◽  
Adolescent Mothers ◽  
Dietary Diversity ◽  
Cross Sectional Study ◽  
The Body ◽  
Cross Sectional ◽  
Maternal Characteristics ◽  
Logistic Regression Models

ABSTRACT Objective To analyze the feeding profiles, nutritional statuses and influences of maternal characteristics on food consumption of infants at the end of the first year of life. Methods This is a cross-sectional study nested within a cohort of pregnant women that evaluated children with a mean age of 12.1 months. The weights and lengths were measured, and the body mass index was calculated. Food consumption was obtained through 24-hour recall and was assessed qualitatively. The outcomes studied dichotomously (yes/no) were overweight (body mass index ≥+2 Z-scores), consumption of foods considered unhealthy (i.e., sugar, petit suisse cheese, sandwich crackers, and soft drinks), consumption of fruits, legumes and vegetables and a minimum acceptable diet composed of minimum dietary diversity and minimum meal frequency. Logistic regression models were constructed to evaluate the association between maternal variables and the outcomes studied. Results A total of 254 infants were evaluated, of whom 10.7% were overweight. The majority of the infants did not receive a minimum acceptable diet (58.7%), 28.0% consumed petit suisse cheese and 42.0% received added sugar in their preparations. Mothers less than 20 years old or with more schooling were more likely to offer unhealthy foods to their children (.=0.03). Fruits, legumes and vegetables (consumption was higher among children of mothers over 20 years old (.=0.04). Conclusion The study revealed a high prevalence of overweight and an inadequacy of food consumption among children. The finding that adolescent mothers and/or mothers with more schooling tend to offer inadequate food to children may favor the definition of specific educational strategies.

scholarly journals Leptin and Bone Mineral Density: A Cross-Sectional Study in Obese and Nonobese Men

2003 ◽  
Vol 88 (12) ◽  
pp. 5795-5800 ◽  
Author(s):  
Cathrine M. Morberg ◽  
Inge Tetens ◽  
Eva Black ◽  
Soeren Toubro ◽  
Thorkild I. A. Soerensen ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Lean Body Mass ◽  
Body Mass ◽  
Bone Mineral ◽  
Fat Mass ◽  
Control Group ◽  
Mineral Density ◽  
Cross Sectional ◽  
Serum Leptin

Abstract Leptin has been suggested to decrease bone mineral density (BMD). This observational analysis explored the relationship between serum leptin and BMD in 327 nonobese men (controls) (body mass index 26.1 ± 3.7 kg/m2, age 49.9 ± 6.0 yr) and 285 juvenile obese men (body mass index 35.9 ± 5.9 kg/m2, age 47.5 ± 5.1 yr). Whole-body dual-energy x-ray absorptiometry scan measured BMD, fat mass, and lean mass. Fasting serum leptin (nanograms per milliliter) was strongly associated with fat mass (kilograms) in both controls (r = 0.876; P &lt; 0.01) and juvenile obese (r = 0.838; P &lt; 0.001). An inverse relation between BMD adjusted for body weight and serum leptin emerged in both the control group (r = −0.186; P &lt; 0.01) and the juvenile obese group (r = −0.135; P &lt; 0.05). In a multiple linear regression, fat mass, lean body mass, and occupational physical activity were positively associated with BMD in the control group, whereas in the juvenile obese, only lean body mass was positively associated with BMD and smoking negatively associated with BMD. Our study supports that leptin is inversely associated with BMD and may play a direct role in the bone metabolism in nonobese and obese Danish males, but it also stresses the fact that the strong covariation between the examined variables is a shortcoming of the cross-sectional design.

scholarly journals The Effects of Socioeconomic Determinants on Hypertension in a Cardiometabolic At-Risk European Country

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Sarah Cuschieri ◽  
Josanne Vassallo ◽  
Neville Calleja ◽  
Nikolai Pace ◽  
Julian Mamo
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Health Examination ◽  
Male Population ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Male Preponderance ◽  
Study Population ◽  
Hypertension Development

Background. A relationship has been established between socioeconomic status and hypertension. The aim of this study was to determine the prevalence of hypertension and to explore the links between hypertension and socioeconomic factors in the adult population of Malta. Methods. A national representative cross-sectional health examination study was performed between 2014 and 2016. Sociodemographic and medical history data was gathered by validated questionnaires while blood pressure was measured. Prevalence rates of known hypertension, newly hypertension, and global hypertension were calculated. Associations between sociodemographic characteristics and hypertension were identified through logistic regression models. Results. Hypertension contributed to 30.12% (CI 95%: 28.71–31.57) of the study population, with a male preponderance. The majority was known hypertensive (73.59% CI 95%: 71.01–76.02), with only three-quarters on medication. Multivariant analyses showed that increasing age and body mass index, male gender, and living in Gozo, Western district, and Northern Harbour district were associated with having hypertension. Conclusion. Hypertension is a problem in Malta especially in the male population and with increasing age and body mass index. Education did not exhibit any associated risk for having hypertension, which is inconsistent with the literature, while habitat localities played a role in hypertension development.

scholarly journals Association between CD4 Cell Count and Blood Pressure and Its Variation with Body Mass Index Categories in HIV-Infected Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Christian Akem Dimala ◽  
Benjamin Momo Kadia ◽  
Ben-Lawrence Kemah ◽  
Maxime Tindong ◽  
Simeon-Pierre Choukem
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
The Body ◽  
Cd4 Count ◽  
Cross Sectional ◽  
Cd4 Cell Count ◽  
Logistic Regression Models ◽  
Cd4 Cell

The aim of this study was to establish whether an independent relationship exists between CD4 count and hypertension and if this relationship is modified or confounded by the body mass index (BMI). Methods. A secondary data analysis of a cross-sectional study on 200 HIV/AIDS patients at a referral hospital in Cameroon was conducted. Linear and logistic regression models were used as appropriate to explore the association between the variables of interest. Results. There was no linear association between log CD4 count and both systolic (p=0.200; r=0.12) and diastolic blood pressures (p=0.123; r=0.14), respectively. After adjusting for BMI, patients with CD4 count ≥ 350 cells/μl were more likely to have hypertension than those with CD4 count < 350 cells/μl (AOR: 2.50, 95% CI: 1.05–5.93, and p=0.032). There was no effect modification from BMI (test of homogeneity, p=0.721). There was no independent relationship between CD4 count and hypertension after controlling for age, sex, family history of hypertension, BMI-defined overweight, HAART use, and duration of HIV infection (AOR: 1.66, 95% CI: 0.48–5.71, and p=0.419). Conclusion. This study did not identify any independent relationship between CD4 count and hypertension. Large prospective studies are recommended to better explore this relationship between hypertension and CD4 count.

KEJADIAN PENYAKIT HIPERTENSI DAN INDEKS MASSA TUBUH PADA PEREMPUAN YANG TINGGAL DI PEDESAAN DAN PERKOTAAN

2019 ◽  
pp. 127-136
Author(s):  
Venti Agustina
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Rural Women ◽  
Urban Areas ◽  
Stage I ◽  
Normal Body Mass Index ◽  
Cross Sectional ◽  
Normal Body ◽  
Stadium I

Hipertensiadalah penyebab kematian utama di Indonesia. Kematian akibat hipertensi lebih banyak terjadi di perkotaan dibandingkan di desa. Tingginya kejadian hipertensi dipengaruhi oleh faktor yang dapat dikontrol (obesitas,berat badan lebih, konsumsi garam berlebih,aktivitas fisik rendah, perokok, dan konsumsi alkohol) dan faktor yang tidak dapat dikontrol (genetik, usia, dan jenis kelamin). Penelitian bertujuan memberikan gambarandistribusi tekanan darah dan indeks massa tubuh (IMT) pendudukperempuan di kota maupun di desa.Desain penelitian adalah deskriptif kuatitatif dengan pendekatan cross sectional. Data primer didapatkan melalui pengukuran tekanan darah, tinggi badan dan berat badan. Penelitian dilakukan di Desa Kutowinangun Kidul, Kecamatan Tingkir,Salatiga yang mewakili penduduk perempuan di perkotaan dan Desa Batur, Kecamatan Getasan, Kabupaten Semarangyang mewakili penduduk perempuan pedesaan. Adapun jumlah sampel masing-masing 66 respondendan 72responden. Hasil penelitian menunjukkan bahwa kejadian penyakit hipertensi, resiko obese dan obese lebih didominasi oleh respondendi perkotaan dibandingkan di pedesaan dengan rentang usia di atas 46 tahun. Respondendi desa dengan indeks massa tubuh normal cenderung mengalami pre-hipertensi (8,3%) dan hipertensi stadium I (6,9%) sementararesponden dengan resiko obese dan obese cenderung mengalami hipertensi stadium I (1,4%).Respondendi kota dengan indeks massa tubuh normal cenderung mengalami pre hipertensi (6,06%), hipertensi stadium I (4,5%) dan II (7,5%). Responden dengan resiko obese cenderung mengalami hipertensi stadium I (4,5%), dan responden dengan obese I dan II cenderung mengalami pre-hipertensi (4,5%).   Hypertension is the leading cause of death in Indonesia. Deaths due to hypertension are more common in urban areas than in villages. The high incidence of hypertension is influenced by factors that can be controlled (obesity, overweight, excessive salt consumption, low physical activity, smokers, and alcohol consumption) and factors that cannot be controlled (genetic, age, and sex). The study aimed to provide an overview of blood pressure distribution and body mass index (BMI) of female residents in cities and villages. The study design was descriptive quantitative with a cross sectional approach. Primary data was obtained through measurements of blood pressure, height and weight. The study was conducted in Kutowinangun Kidul Village, Tingkir Subdistrict, Salatiga representing women in urban areas and Batur Village, Getasan Subdistrict, Semarang Regency, representing rural women. The number of samples was 66 respondents and 72 respondents respectively. The results showed that the incidence of hypertension, the risk of obese and obese was more dominated by respondents in urban areas than in rural areas with ages above 46 years. Respondents in villages with normal body mass index tended to experience pre-hypertension (8.3%) and stage I hypertension (6.9%) while respondents with obese and obese risk tended to experience stage I hypertension (1.4%). Respondents in cities with normal body mass index tended to experience pre-hypertension (6.06%), stage I hypertension (4.5%) and II (7.5%). Respondents with obese risk tended to experience stage I hypertension (4.5%), and respondents with obese I and II tended to experience pre-hypertension (4.5%).

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