Investigations into the relationship between respiratory disorders and excessive body weight in the adolescents presenting with bronchial asthma treated based at a specialized health resort facility

In the modern world, obesity is the most important medical and social problem that requires an interdisciplinary approach. Many diseases of the respiratory system are caused by obesity.Aim. The review analyzes scientific sources on respiratory disorders in patients with obesity from the open-access electronic libraries PubMed and eLibrary published in the last 15 years.Methods. A comparative systematical assessment of the results of these studies was carried out. The mechanical effects of excess body weight on the respiratory apparatus have been singled out. The current views about cellular and humoral effects of adipose tissue on the development of respiratory pathology have been given.Conclusion. The analysis results present evidence of the multifactorial negative influence of excessive body weight on the respiratory system. Some aspects of the role of obesity in the development of respiratory disorders require further study. Understanding the pathogenic mechanisms behind the influence of obesity on the respiratory apparatus is essential for developing the patient management strategy.

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Dietary patterns of pregnant women, maternal excessive body weight and gestational diabetes

Revista de Saúde Pública ◽

10.11606/s1518-8787.2019053000909 ◽

2019 ◽

Vol 53 ◽

pp. 52 ◽

Cited By ~ 2

Author(s):

Daniela Cristina Candelas Zuccolotto ◽

Lívia Castro Crivellenti ◽

Laércio Joel Franco ◽

Daniela Saes Sarotelli

Keyword(s):

Diabetes Mellitus ◽

Body Weight ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Pregnant Women ◽

Dietary Patterns ◽

Regression Models ◽

Logistic Regression Models ◽

Excessive Body Weight ◽

The Relationship

OBJECTIVE: To investigate the relationship between the dietary patterns of pregnant women with maternal excessive body weight and gestational diabetes mellitus . METHODS: A cross-sectional study conducted with a convenience sample of 785 adult pregnant women attended by the Unified Health System of Ribeirão Preto, state of São Paulo, between 2011 and 2012. Two 24-hour dietary recalls, corrected by the multiple source method, were employed. For the classification of the body mass index and the diagnosis of gestational diabetes mellitus, the criteria by Atalah and the World Health Organization were used, respectively. Dietary patterns were obtained by principal component analysis using the Varimax rotation method. The relationship between adherence to patterns, overweight and obesity was analyzed by multinomial logistic regression models and the relationship with gestational diabetes mellitus by adjusted unconditional logistic regression models. RESULTS: We identified four dietary patterns: “traditional Brazilian”; “snacks”; “coffee” and “healthy”. Women with a higher adherence to the “Healthy” (OR = 0.52; 95%CI 0.33–0.83) and “Brazilian Traditional” patterns (OR = 0.61; 95%CI 0.38–0.96) presented a lower chance of obesity, when compared to women with lower adherence, regardless of confounding factors. After adjustment for maternal excessive body weight, there was no association between dietary patterns and gestational diabetes mellitus. CONCLUSIONS: Among the pregnant women, greater adherence to “traditional Brazilian” and “healthy” patterns was inversely associated with obesity, but no relationship was identified with gestational diabetes mellitus after adjusting for excessive body weight. Prospective studies are recommended to investigate the relationship between dietary patterns, overweight and gestational diabetes mellitus, reducing the chance of reverse causality

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Energy homeostasis imbalance in relation to depressive disorders in patients of early reproductive age with excessive body weight

Pediatric and Adolescent Reproductive Health ◽

10.33029/1816-2134-2020-16-1-101-115 ◽

2020 ◽

Vol 16 (1) ◽

pp. 101-115

Author(s):

E.P Khashchenko ◽

◽

E.V. Uvarova ◽

M.Yu. Vysokikh ◽

I.A. Salnikova ◽

...

Keyword(s):

Body Weight ◽

Energy Homeostasis ◽

Depressive Disorders ◽

Reproductive Age ◽

Excessive Body Weight

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Peculiarities of circadian rhythms of the cardio-vascular system functioning in school children with excessive body weight

SOVREMENNAYA PEDIATRIYA ◽

10.15574/sp.2015.71.96 ◽

2015 ◽

Vol 71 (7) ◽

pp. 96-99

Author(s):

I.E. Zabolotna ◽

◽

Yu.B. Yashchenko ◽

Keyword(s):

Body Weight ◽

Circadian Rhythms ◽

School Children ◽

Vascular System ◽

Excessive Body Weight ◽

System Functioning ◽

Cardio Vascular

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PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

Journal of Animal Science ◽

10.1093/jas/skab054.357 ◽

2021 ◽

Vol 99 (Supplement_1) ◽

pp. 218-219

Author(s):

Andres Fernando T Russi ◽

Mike D Tokach ◽

Jason C Woodworth ◽

Joel M DeRouchey ◽

Robert D Goodband ◽

...

Keyword(s):

Body Weight ◽

Regression Analysis ◽

Sample Size ◽

Polynomial Regression ◽

Data Sets ◽

Regression Equations ◽

Prediction Equations ◽

Data Set ◽

Rate Of Increase ◽

The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

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Principal Components Analysis of the Relationship between the Body Weight and the Body Feature in the Okinawa Native, the Okinawa Meat and the Japanese Saanen Goats

JAPAN JOURNAL OF VETERINARY INFORMATICS ◽

10.2743/jve1986.1993.17 ◽

1993 ◽

Vol 1993 (30) ◽

pp. 17-20

Author(s):

Kiyotaka SASANUMA ◽

Naoki TERADA ◽

Akihisa SHINJO

Keyword(s):

Body Weight ◽

Principal Components Analysis ◽

Principal Components ◽

The Body ◽

Components Analysis ◽

The Relationship

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BREED AND SEX EFFECTS ON THE RELATIONSHIP BETWEEN WEIGHT AND FATNESS IN LACOMBE AND YORKSHIRE SWINE AND THEIR RECIPROCAL CROSSES

Canadian Journal of Animal Science ◽

10.4141/cjas65-006 ◽

1965 ◽

Vol 45 (1) ◽

pp. 33-36

Author(s):

G. W. Rahnefeld

Keyword(s):

Body Weight ◽

Sex Differences ◽

Regression Coefficients ◽

Average Depth ◽

Constant Weight ◽

Reciprocal Crosses ◽

Sex Effects ◽

Female Mating ◽

The Mean ◽

The Relationship

The relationship between thickness of fat measured at the shoulder, last rib, and loin of live pigs and market weight (86.2 to 95.2 kg) was studied in 1596 pigs from the Lacombe and Yorkshire breeds and their reciprocal crosses. No significant breed or sex differences were found in the proportion of fat at the three sites. Breed and sex differences were evident in the average depth of fat. The regression coefficients for the mean of three fat measurements on market weight were.016 ±.003,.019 ±.007, and.017 ±.004 for Lacombe males, barrows, and females respectively;.039 ±.002,.036 ±.005, and.041 ±.001 for Yorkshire males, barrows and females respectively;.027 ±.005 and.029 ±.004 for barrows and females from the Lacombe male × Yorkshire female mating; and.023 ±.007 and.021 ±.009 for barrows and females from the Yorkshire male × Lacombe female mating. Comparisons between animals measured at a relatively constant weight should be made after the fat measurement is adjusted for variations in body weight. The results of this study indicate that separate corrections should be applied for each breed. Separate corrections for sexes within breeds do not appear warranted.

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