Impact of parity on anthropometric measures of obesity controlling by multiple confounders: a cross-sectional study in Chilean women

Koch, Elard; Bogado, Mariana; Araya, Fernando; Romero, Tomás; Díaz, Carlos; Manríquez, Leopoldo; Paredes, Mario; Román, Carolinne; Taylor, Alan; Kirschbaum, A

doi:10.1136/jech.2007.062240

Cited by 64 publications

(65 citation statements)

References 79 publications

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“…Compared to nulliparous women, the risk of obesity rises 5.8-fold among mothers with parity of 4 or more and 2.6-fold with 2 or 3 pregnancies. This agrees with other studies [18][19][20]. The increased parity of women in higher BMI categories may be related to the tendency to gain weight with each pregnancy [19].…”

Section: Discussionsupporting

confidence: 82%

Prevalence of Obesity in a Saudi Obstetric Population

El‐Gilany

El-Wehady²

2009

Obes Facts

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Objective: To estimate the prevalence of obesity and its determinants during the first month of gestation in Saudi women. Methods: Retrospective chart review of measured BMI in Al-Hassa, the largest province in Saudi Arabia, in 2007. Data were collected from records of 791 (72.6% of 1,089) pregnant women registered for prenatal care. Results: Height shows a normal Gaussian distribution, whereas weight is skewed positively (skewness of 0.77). The prevalence of underweight, normal weight, overweight, obesity, and extreme obesity (BMI > 40 kg/m²) were 8.5, 39.3, 23.6, 23.9, and 4.7%, respectively. Logistic regression revealed that the most important significant independent predictors of obesity are parity of 4 and more (odds ratio (OR) = 5.8) and urban residence (OR = 4.9). Conclusion: Overweight, obesity, and extreme obesity are common (>52%) among pregnant women in Saudi Arabia. Health education to control body weight before pregnancy is warranted.

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Section: Discussionsupporting

confidence: 82%

Prevalence of Obesity in a Saudi Obstetric Population

El‐Gilany

El-Wehady²

2009

Obes Facts

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“…Parity was positively associated with obesity in our population, independent of age. Several other studies in the region 12,25,28,29 have reported similar results. Although higher parity is sometimes considered an indicator of lower SES, pregnancy-related weight retention independent of various sociobehavioral factors is well documented.…”

Section: Obesity and Body Image In Colombian Womensupporting

confidence: 79%

“…2 The associations of SES indicators with overweight and obesity in our study are consistent with those from other studies among Latin American women of low-income groups within their countries. 10,25 The positive association between SES indicators and overweight=obesity based on BMI found in our study may be due to a shift away from a traditional diet, as women with greater purchasing power may have increased access to processed foods that are high in saturated fat and refined carbohydrates. 26 The presence of nonnegligible rates of obesity in all SES categories, with a greater burden in the highest SES groups, is typical of countries in middle stages of economic development.…”

Section: Discussionmentioning

confidence: 82%

Correlates of Obesity and Body Image in Colombian Women

Gilbert‐Diamond

Baylin

Mora‐Plazas

et al. 2009

Journal of Women's Health

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Objective: To examine the sociodemographic correlates of overweight and obesity as well as body shape perception in women from Bogotá, Colombia. Methods: The sample (n ¼ 671) represented low-income and middle-income women, aged 21-55 years, living in Bogotá, who had children in the public school system. We measured height and weight to calculate body mass index (BMI, kg=m 2 ) and defined two dichotomous outcomes: overweight=obesity (BMI !25) and obesity (BMI !30). Women reported sociodemographic information and used the Stunkard Figure Rating Scale to identify the silhouette that most closely resembled their body shape (current), what they would like to look like (ideal), and what they considered healthiest (healthiest). We estimated body dissatisfaction by subtracting the ideal from the current scores. Results: The prevalences of overweight=obesity and obesity, based on measured height and weight, were 41.9% and 11.6%, respectively. Age, being married, and being born in Bogotá were positively associated with overweight=obesity but not with obesity alone, whereas the number of household assets and parity were both positively related to obesity. Women with higher education or who lived in wealthier neighborhoods identified ideal shapes that were thinner than those identified by their less educated or poorer counterparts ( p ¼ 0.03 and p ¼ 0.004, respectively). Higher education was also associated with the selection of thinner body shapes as healthiest ( p ¼ 0.02). BMI and education were both positively related to body dissatisfaction ( p < 0.0001 and p ¼ 0.04, respectively). Conclusions: Indicators of higher socioeconomic status (SES) (e.g., having more household assets) are associated with obesity. Perception of slimmer body shapes as ideal and healthiest and higher body dissatisfaction are associated with higher education.

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“…Además, se advierte que el IMC logra un porcentaje más alto de concordancia de clasificación con el PC tanto para el criterio de la OMS para "riesgo sustancialmente incrementado" (PC > 88 cm) (20), como por la propuesta de Koch y cols. (PC > 87,7 cm) (21). Sin embargo, la mayor similitud entre los valores de sensibilidad y especificidad se da con el ICC considerando el criterio de la OMS (20).…”

Section: Resultsunclassified

Variaciones en el estado nutricional y su refl ejo en la composición corporal en mujeres chilenas con síndrome metabólico

et al. 2016

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S. Variaciones en el estado nutricional y su refl ejo en la composición corporal en mujeres chilenas con síndrome metabólico. Nutr Hosp 2016;33: [616][617][618][619][620][621][622] Variaciones en el estado nutricional y su refl ejo en la composición corporal en mujeres chilenas con síndrome metabólico AbstractIntroduction: The categorization of nutritional status by the body mass index (BMI) is one of the most used clinical assessment method in patients with metabolic syndrome (MS). The utility to identify differences in body composition to determine changes in nutritional status that are refl ected in the variables of body composition in women with MS is unknown. Objetive: To determine whether variations on nutritional status are associated with body composition parameters in women with metabolic syndrome, and to identify the level of agreement between nutritional status and health anthropometric indices in cardiometabolic risk classifi cation. Material and methods: Nutritional status, muscle mass, fat mass, waist circumference (PC), waist-hip ratio (WHR) and waist-height index (ICE) were assessed in 136 women with SM (age 42 ± 3.5 years). Body composition and anthropometric indices were compared. In addition, the agreement between the risk of metabolic syndrome and BMI was determined. Results: There were no signifi cant differences between groups in age (p = 0.358), height (p = 0.209) and percentage of adiposity (p = 0.234). The best agreement of cardiometabolic risk was observed between PC > 88 cm (94.9%) and ICE ≥ 0.5 (94.9%) when BMI is dichotomized as normal weight and overweight; while, the PC > 88 cm (85.3%) showed better agreement when BMI is grouped as normal weight versus overweight and obesity. The percentages of agreement were more homogeneous with the ICC ≥ 0.85. Conclusion: The BMI does not identify changes in body fat in women with MS when they are grouped using nutritional status. BMI has better sensitivity than specifi city respect to the indices considered in determining cardiometabolic risk in women with MS.

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Impact of parity on anthropometric measures of obesity controlling by multiple confounders: a cross-sectional study in Chilean women

Abstract: Parity modestly influences BMI, but does not seem to be related to WC, WHR and WHtR after controlling by confounders. Parity can increase adiposity but not necessarily following an abdominal pattern.

Cited by 64 publications

References 79 publications

Prevalence of Obesity in a Saudi Obstetric Population

Prevalence of Obesity in a Saudi Obstetric Population

Correlates of Obesity and Body Image in Colombian Women

Variaciones en el estado nutricional y su refl ejo en la composición corporal en mujeres chilenas con síndrome metabólico

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