scholarly journals A Novel Method to Measure Resilience in Nutrition: Application to Diets and Body Mass Index of Rural Women in Nepal and Bangladesh (FS01-02-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sonia Zaharia ◽  
William Masters ◽  
Shibani Ghosh ◽  
Katherine Heneveld ◽  
Lichen Liang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Rural Women ◽  
Mean Reversion ◽  
The United States ◽  
Reproductive Age ◽  
Time Lags ◽  
Food Groups ◽  
Novel Method ◽  
Diet Recall

Abstract Objectives This study aimed to demonstrate feasibility of a novel method for measuring resilience in dietary diversity (DD) and body mass index (BMI) of rural women of reproductive age (WRA) in Nepal and Bangladesh. Resilience is defined as the population's ability to recover from adverse shocks, measured relative to statistical mean reversion. Methods We used regionally representative surveys from Nepal (n = 2187) and Bangladesh (n = 1715) collected annually in Nepal (four panels, 2013–2016) and every 6 months in Bangladesh (3 panels, 2016–2017), for BMI (kg/m2) and DD using 10 food groups (7-day qualitative diet recall, Nepal) and 6 food groups (24-hour diet recall, Bangladesh). We estimated where i is the woman, y is the outcome of interest, and z is a vector of controls. ∆yi, t+j denotes change in y between t + j-1 and t + j. Declinedi,t+1 equals 1 if the change between t and t + 1 is negative, zero otherwise. β2 measures the degree of reversal in decline controlling for mean reversion (β1) and other differences (age, age2, age cube, and socioeconomic status). β2 = 0 is our benchmark of mean reversion around the trend, i.e., recoveries after decline are not significantly different from declines after recovery. Results Our technique revealed significant (P < 0.01) resilience of DD in Nepal (Figure 1, Panel A). Among 1682 women in the Terai region, 47% (n = 784) experienced an initial decline in DD, and 61% of that initial decline was recovered. Mean reversion removed only 25% of the initial change among those who gained. We found no significant resilience in Bangladesh (Figure 1, Panel B) or for BMI in either country. Conclusions The resilience of DD in Nepal could reflect food aid responses to the 2015 earthquake or other interventions, while lack of resilience in BMI could reflect time lags, measurement errors or limits on the speed and timing of weight change. Lack of resilience of DD in Bangladesh could reflect shorter time intervals. Future work will apply this method to test for differences in resilience associated with exposure to programmatic interventions. Funding Sources Support provided by Feed the Future Innovation Lab for Nutrition, funded by the United States Agency for International Development (USAID). Supporting Tables, Images and/or Graphs

scholarly journals A Novel Method to Measure Resilience in Nutrition: Application to Diets and Body Mass Index of Rural Women in Nepal and Bangladesh (FS01-02-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sonia Zaharia ◽  
William Masters ◽  
Shibani Ghosh ◽  
Katherine Heneveld ◽  
Lichen Liang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Rural Women ◽  
Mean Reversion ◽  
The United States ◽  
Reproductive Age ◽  
Time Lags ◽  
Food Groups ◽  
Novel Method ◽  
Diet Recall

Abstract Objectives This study aimed to demonstrate feasibility of a novel method for measuring resilience in dietary diversity (DD) and body mass index (BMI) of rural women of reproductive age (WRA) in Nepal and Bangladesh. Resilience is defined as the population's ability to recover from adverse shocks, measured relative to statistical mean reversion. Methods We used regionally representative surveys from Nepal (n = 2187) and Bangladesh (n = 1715) collected annually in Nepal (four panels, 2013–2016) and every 6 months in Bangladesh (3 panels, 2016–2017), for BMI (kg/m2) and DD using 10 food groups (7-day qualitative diet recall, Nepal) and 6 food groups (24-hour diet recall, Bangladesh). We estimated where i is the woman, y is the outcome of interest, and z is a vector of controls. ∆yi, t+j denotes change in y between t + j-1 and t + j. Declinedi,t+1 equals 1 if the change between t and t + 1 is negative, zero otherwise. β2 measures the degree of reversal in decline controlling for mean reversion (β1) and other differences (age, age2, age cube, and socioeconomic status). β2 = 0 is our benchmark of mean reversion around the trend, i.e., recoveries after decline are not significantly different from declines after recovery. Results Our technique revealed significant (P < 0.01) resilience of DD in Nepal (Figure 1, Panel A). Among 1682 women in the Terai region, 47% (n = 784) experienced an initial decline in DD, and 61% of that initial decline was recovered. Mean reversion removed only 25% of the initial change among those who gained. We found no significant resilience in Bangladesh (Figure 1, Panel B) or for BMI in either country. Conclusions The resilience of DD in Nepal could reflect food aid responses to the 2015 earthquake or other interventions, while lack of resilience in BMI could reflect time lags, measurement errors or limits on the speed and timing of weight change. Lack of resilience of DD in Bangladesh could reflect shorter time intervals. Future work will apply this method to test for differences in resilience associated with exposure to programmatic interventions. Funding Sources Support provided by Feed the Future Innovation Lab for Nutrition, funded by the United States Agency for International Development (USAID). Supporting Tables, Images and/or Graphs

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%).

scholarly journals Serum Metabolomics in PCOS Women with Different Body Mass Index

2021 ◽  
Vol 10 (13) ◽  
pp. 2811
Author(s):  
Katarzyna Ożegowska ◽  
Szymon Plewa ◽  
Urszula Mantaj ◽  
Leszek Pawelczyk ◽  
Jan Matysiak
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
High Performance ◽  
Polycystic Ovary ◽  
Multiple Reaction Monitoring ◽  
Reproductive Age ◽  
Healthy Controls ◽  
Metabolic Disturbances ◽  
Hormonal Imbalance ◽  
Spectrometry Technique

Polycystic ovary syndrome (PCOS) is the most prevalent endocrine and metabolic disorder, affecting 5–10% of women of reproductive age. It results from complex environmental factors, genetic predisposition, hyperinsulinemia, hormonal imbalance, neuroendocrine abnormalities, chronic inflammation, and autoimmune disorders. PCOS impacts menstrual regularities, fertility, and dermatological complications, and may induce metabolic disturbances, diabetes, and coronary heart disease. Comprehensive metabolic profiling of patients with PCOS may be a big step in understanding and treating the disease. The study aimed to search for potential differences in metabolites concentrations among women with PCOS according to different body mass index (BMI) in comparison to healthy controls. We used broad-spectrum targeted metabolomics to evaluate metabolites’ serum concentrations in PCOS patients and compared them with healthy controls. The measurements were performed using high-performance liquid chromatography coupled with the triple quadrupole tandem mass spectrometry technique, which has highly selective multiple reaction monitoring modes. The main differences were found in glycerophospholipid concentrations, with no specific tendency to up-or down-regulation. Insulin resistance and elevated body weight influence acylcarnitine C2 levels more than PCOS itself. Sphingomyelin (SM) C18:1 should be more intensively observed and examined in future studies and maybe serve as one of the PCOS biomarkers. No significant correlations were observed between anthropometric and hormonal parameters and metabolome results.

Body phenotypes and sexual maturation in Brazilian and US adolescents: evidence for a change in body mass index Category

2020 ◽  
pp. 1-26
Author(s):  
Jéssica Cumpian Silva ◽  
Ana Elisa Madalena Rinaldi ◽  
Francisco de Assis Guedes Vasconcelos ◽  
Maria Alice Altenburg Assis ◽  
Camila Medeiros Mazzeti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Phase Angle ◽  
Sexual Maturation ◽  
Biochemical Parameters ◽  
Pubertal Development ◽  
The United States ◽  
Pubic Hair ◽  
Cholesterol Ratio

ABSTRACT Objective: Our study aimed to describe body phenotypes (BP) estimated by multivariate analysis and their association with body mass. Design: Body phenotypes were defined based on demographic variables, anthropometric data (body mass, height, skinfolds and circumferences), body composition (phase angle measured by bioelectrical impedance analysis), biochemical parameters (triglycerides, glucose, total cholesterol ratio/Low Density Lipoproteins (LDL), haemoglobin and sexual maturation (pubic hair and breasts or gonads). Analysis of variance (ANOVA) was performed to verify the differences between skin colour and the stages of pubertal development, body phenotypes, body composition, anthropometric, and biochemical variables. Setting: Cities of São Paulo-SP, Piracicaba-SP and Florianópolis-SC from Brazil and the United States. Participants: 9269 adolescents aged between 10 to 15 years old. Results: The composition of BP was similar in all surveys, which are: BP1 was composed by skinfolds, body mass and circumferences variables; BP2 by pubic hair, breast in girls or gonad in boys, height and age; BP3 by cholesterol, triglycerides and glucose; and BP4 by phase angle, haemoglobin and glucose (negative loading). There was a strong correlation (r = 0.9, p <0.001) between BP1 and body mass index. Conclusion: We highlighted independence observed between biochemical parameters, anthropometry, body composition and sexual maturation. BP may support the calculation of scores for diagnosis of obesity based on anthropometric variables and overcome ambiguity in the isolated use of body mass index.

scholarly journals Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
The United States ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

Examination of Sleep and Obesity in Children and Adolescents in the United States

2021 ◽  
pp. 089011712110291
Author(s):  
Puneet Kaur Chehal ◽  
Livvy Shafer ◽  
Solveig Argeseanu Cunningham
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Sleep Duration ◽  
Body Mass ◽  
The United States ◽  
Weight Category ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Child Height ◽  
Nationally Representative

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

scholarly journals Body Mass Index and Depressive Symptoms: Testing for Adverse and Protective Associations in Two Twin Cohort Studies

2016 ◽  
Vol 19 (4) ◽  
pp. 306-311 ◽  
Author(s):  
Markus Jokela ◽  
Venla Berg ◽  
Karri Silventoinen ◽  
G. David Batty ◽  
Archana Singh-Manoux ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Cohort Studies ◽  
Body Mass ◽  
Genetic Model ◽  
The United States ◽  
Population Based ◽  
The Us ◽  
Mz Twins ◽  
Pair Analysis

Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n = 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS; n = 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.

scholarly journals Body Mass Index and Adult Weight Gain Among Reproductive Age Women With Migraine

2011 ◽  
Vol 51 (4) ◽  
pp. 559-569 ◽  
Author(s):  
Michelle Vo ◽  
Abinnet Ainalem ◽  
Chunfang Qiu ◽  
B. Lee Peterlin ◽  
Sheena K. Aurora ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Body Mass ◽  
Reproductive Age ◽  
Adult Weight ◽  
Reproductive Age Women
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