Differential association between adherence to nutritional recommendations and body weight status across educational levels: a cross-sectional study

Objective

The impact of diet quality and physical activity (PA) on weight might be different according to socioeconomic status. Our aim was to estimate associations between adherence to nutritional guidelines and BMI and the interaction with socioeconomic characteristics.

Methods

A total of 11,931 men and 39,737 women from the NutriNet-Santé cohort (France, 2009–2012) were included in this cross-sectional analysis. The association between PNNS-GS (a score estimating adherence to French nutritional guidelines) and BMI was assessed by multivariate linear regression. A modified score (mPNNS-GS) separating diet quality from PA was also used.

Results

BMI, overweight and obesity displayed an inverse gradient from less to more educated groups, whereas PNNS-GS increased. A higher PNNS-GS was associated with a lower BMI, more importantly in the less educated: BMI decrease ranged from − 1.1% in less educated to − 0.7% in more educated men and from − 0.6% to − 0.3% in women. The effect of mPNNS-GS and PA in particular was also stronger among less educated subjects.

Conclusion

Overall, better adherence to nutritional recommendations was inversely associated with BMI, and this association was stronger in the less educated groups. This suggests that nutritional policies should still concentrate on promoting access to a healthier diet and PA, especially among less educated individuals.     

Association between efficacy and body weight or body mass index for two low-dose oral contraceptives

BackgroundThis analysis investigated the association of oral contraceptive efficacy with body weight and body mass index (BMI) for hypothesis-generating purposes.Study DesignData were from a randomized, parallel-group trial of 180/215/250 mcg of norgestimate (NGM)/25 mcg of ethinyl estradiol (EE) (given to 1671 women) and 1 mg of norethindrone acetate (NETA)/20 mcg of EE (given to 1139 women). Pregnancies were evaluated across BMI deciles and by BMI and body weight dichotomies. A Pearl index was calculated for each treatment group. The relative risk (RR) of pregnancy was calculated with a Cox proportional hazards model.ResultsThe Pearl index for women who received NGM/EE was 2.36 [95% confidence interval (CI)=1.33–3.40]; for those who received NETA/EE, the Pearl index was 3.29 (95% CI=1.81–4.77). Consistent, weak positive associations between weight and pregnancy risk were found. Overall, for women with a BMI ≥25 kg/m² (compared with women with a BMI <25 kg/m²), the RR of pregnancy was 1.84 (95% CI=0.98–3.45); that for women who received NGM/EE was 1.39 (95% CI=0.57–3.40), whereas that for women who received NETA/EE was 2.49 (95% CI=1.01–6.13). For women with a body weight ≥70 kg (compared with women with a body weight <70 kg), the RR was 1.25 (95% CI=0.63–2.46); that for women who received NGM/EE was 1.41 (95% CI=0.56–3.54), whereas that for women who received NETA/EE was 1.12 (95% CI=0.40–3.12).ConclusionWomen in the higher body weight or BMI category showed a small increase in the risk of pregnancy with these oral contraceptives, but this increase was not statistically significant overall or for either formulation studied.     

Postpartum weight retention in relation to gestational weight gain and pre-pregnancy body mass index: A prospective cohort study in Vietnam

BackgroundThe prevalence of maternal overweight and obesity is increasing in Asia. This study prospectively investigated the association between pre-pregnancy body mass index (BMI), gestational weight gain (GWG) and 12-month postpartum weight retention (PPWR) in a large cohort of Vietnamese mothers.MethodsOf the 2030 pregnant women recruited from three cities in Vietnam at 24–28 weeks of gestation, a total of 1666 mothers were followed up for 12 months after delivery and available for analysis. The outcome variable PPWR was determined by subtracting the pre-pregnancy weight from the 12-month postpartum measured weight, while GWG and pre-pregnancy BMI were classified according to the Institute of Medicine and WHO criteria for adults, respectively. Linear regression models were used to ascertain the association between pre-pregnancy BMI, GWG and PPWR accounting for the effects of plausible confounding factors.ResultsBoth pre-pregnancy BMI and GWG were significantly associated with PPWR (P < 0.001). The adjusted mean weight retention in underweight women before pregnancy (3.71 kg, 95% confidence interval (CI) 3.37–4.05) was significantly higher than that in those with normal pre-pregnancy weight (2.34 kg, 95% CI 2.13–2.54). Women with excessive GWG retained significantly more weight (5.07 kg, 95% CI 4.63–5.50) on average at 12 months, when compared to mothers with adequate GWG (2.92 kg, 95% CI 2.67–3.17).ConclusionsBeing underweight before pregnancy and excessive GWG contribute to greater weight retention twelve months after giving birth. Interventions to prevent postpartum maternal obesity should target at risk women at the first antenatal visit and control their weight gain during the course of pregnancy.     

A single gestational weight gain recommendation is possible for all classes of pregnant women with obesity

ObjectivesObesity is a known risk factor for adverse pregnancy outcomes; however, appropriate gestational weight gain (GWG) may mitigate these risks. We investigated whether the singular 2009 Institute of Medicine (IOM) GWG guidelines were appropriate for all women with obesity, or whether separate recommendations were needed by class.MethodsThis cross-sectional study of pregnant women with obesity used 2014 U.S. birth certificate data (N=646,642) and included only term pregnancies. Adjusted log-binomial regression models examined the relative risk of adverse maternal, obstetric, and neonatal outcomes for pregnant women with class I–III obesity who: lost weight during pregnancy, gained below IOM guidelines, or gained above IOM guidelines, compared to women who gained within IOM guidelines.ResultsMost women (55.1; 95% CI: 55.0-55.3) gained above IOM guidelines. As BMI severity increased, significantly fewer women had excessive GWG (Class I: 61.6%, 95% CI: 61.4-61.7; II: 50.7%, 95% CI: 50.4-50.9; III: 41.1%, 95% CI: 40.8-41.4). All classes of women with obesity who lost weight during pregnancy or gained below had a significantly decreased risk for caesarean delivery (RR (95% CI) class I: 0.92 (0.90-0.94); II: 0.91 (0.89-0.93); III: 0.92 (0.90-0.93)) and large-for-gestational age (LGA) births (class I: 0.80 (0.77-0.83); II: 0.76 (0.73-0.78); III: 0.73 (0.70-0.75)), but significantly increased risk of small-for-gestational age (SGA) births (class I: 1.34 (1.26-1.43); II: 1.38 (1.28-1.49); III: 1.35 (1.24-1.46)).ConclusionThe observed pattern of association was the same for all obese classes, hence evidence supports a possible singular GWG recommendation for all women with obesity, regardless of class.     

Racial differences in gestational weight gain and pregnancy-related hypertension

PurposeThe aim of the study was to examine racial differences in gestational weight gain (GWG) and pregnancy-related hypertension.MethodsLogistic regression models tested racial differences in adequacy of GWG and pregnancy-induced hypertension in all singleton live births from the South Carolina 2004–2006 birth certificates.ResultsCompared with white women, black and Hispanic women had 16%–46% lower odds of gaining weight above the recommendations. However, the odds of inadequate GWG was ∼50% higher in black and Hispanic women with a pregnancy body mass index (BMI) less than 25 kg/m². Furthermore, compared with women with adequate GWG, women with excessive GWG had higher odds of pregnancy-related hypertension (underweight: 2.35, 95% confidence interval [CI; 1.66, 3.32]; normal: 2.05, 95% CI [1.84, 2.27]; overweight: 1.93, 95% CI [1.64, 2.27]; obese: 1.46, 95% CI [1.30, 1.63]). Among women with a BMI less than 25 kg/m², black women had higher odds of pregnancy-related hypertension than white women (underweight: 1.64, 95% CI [1.14, 2.36]; normal weight: 1.28, 95% CI [1.15, 1.42]), whereas among women with a BMI less than 25 kg/m², Hispanic women had 40% lower odds.ConclusionsPrograms are needed to curb excessive GWG in all racial groups and to help some sub-groups ensure adequate GWG. Maternal obesity and GWG are two factors that should be used in combination to reduce racial differences in pregnancy-related hypertension.     

Disability, arthritis, and body weight among adults 45 years and older

OBJECTIVE: To examine the association between body weight and disability among persons with and without self-reported arthritis. RESEARCH METHODS AND PROCEDURES: Data were analyzed for noninstitutionalized adults, 45 years or older, in states that participated in the Behavioral Risk Factor Surveillance System. Self-reported BMI (kilograms per meter squared) was used to categorize participants into six BMI-defined groups: underweight (<18.5), normal weight (18.5 to < 25), overweight (25 to < 30), obese, class 1 (30 to < 35), obese, class 2 (35 to < 40), and obese, class 3 (> or = 40). RESULTS: Class 3 obesity (BMI > or = 40) was significantly associated with disability among participants both with and without self-reported arthritis. The adjusted odds ratio (AOR) for disability in participants with class 3 obesity was 2.75 [95% confidence interval (CI) = 2.22 to 3.40] among those with self-reported arthritis and 1.77 (95% CI = 1.20 to 2.62) among those without self-reported arthritis compared with those of normal weight (BMI 18.5 to < 25). Persons with self-reported arthritis who were obese, class 2 (BMI 35 to < 40) and obese, class 1 (BMI 30 to <35) and women with self-reported arthritis who were overweight (BMI 25 to < 30) also had higher odds of disability compared with those of normal weight [AOR = 1.72 (95% CI = 1.47 to 2.00), AOR = 1.30 (95% CI = 1.17 to 1.44), and AOR = 1.18 (95% CI = 1.06 to 1.32), respectively]. DISCUSSION: Our findings reveal that obesity is associated with disability. Preventing and controlling obesity may improve the quality of life for persons with and without self-reported arthritis.     

Sleep duration, general and abdominal obesity, and weight change among the older adult population of Spain

BACKGROUND: Short sleep duration is associated with obesity and weight gain among children and young adults. However, there are few studies on the elderly, with conflicting results. OBJECTIVE: We examined the association of habitual sleep duration with obesity and weight change among the population aged > or =60 y in Spain. DESIGN: This prospective study was conducted from 2001 to 2003 on 3576 persons whose habitual sleep duration was self-reported in 2001. The outcomes were obesity [body mass index (BMI; in kg/m(2)) > or =30], severe obesity (BMI > or =35), and abdominal obesity (waist circumference >102 cm in men and >88 cm in women) in 2001 and weight gain > or =5 kg in the period 2001-2003. RESULTS: Compared with subjects who slept 7 h, subjects who slept < or =5 h had a greater frequency of obesity [odds ratio (OR): 1.33; 95% CI: 1.00, 1.77] and severe obesity (OR: 2.08; 95% CI: 1.31, 3.32). In addition, sleeping 8 h was associated with obesity (OR: 1.39; 95% CI: 1.11, 1.75) and severe obesity (OR: 1.82; 95% CI: 1.21, 2.73). Similarly, subjects sleeping 9 h were more likely to have severe obesity (OR: 1.57; 95% CI: 1.00, 2.47). Among women, weight gain > or =5 kg was more frequent among subjects sleeping < or =5 h (OR: 3.41; 95% CI: 1.34, 8.69), 8 h (OR: 3.03; 95% CI: 1.29, 7.12), and 9 h (OR: 3.77; 95% CI: 1.55, 9.17). No association was observed between sleep duration and abdominal obesity. CONCLUSIONS: Among older adults, sleeping < or =5 h and sleeping 8 or 9 h was associated with obesity and with short-term weight gain in women.     

Maternal Diet Quality,Body Mass Index and Resource Use in the Perinatal Period: An Observational Study

The impact of pre-pregnancy obesity and maternal diet quality on the use of healthcare resources during the perinatal period is underexplored. We assessed the effects of body mass index (BMI) and diet quality on the use of healthcare resources, to identify whether maternal diet quality may be effectively targeted to reduce antenatal heath care resource use, independent of women’s BMI. Cross-sectional data and inpatient medical records were gathered from pregnant women attending publicly funded antenatal outpatient clinics in Newcastle, Australia. Dietary intake was self-reported, using the Australian Eating Survey (AES) food frequency questionnaire, and diet quality was quantified from the AES subscale, the Australian Recommended Food Score (ARFS). Mean pre-pregnancy BMI was 28.8 kg/m² (range: 14.7 kg/m²–64 kg/m²). Mean ARFS was 28.8 (SD = 13.1). Higher BMI was associated with increased odds of caesarean delivery; women in obese class II (35.0–39.9 kg/m²) had significantly higher odds of caesarean delivery compared to women of normal weight, (OR = 2.13, 95% CI 1.03 to 4.39; p = 0.04). Using Australian Refined Diagnosis Related Group categories for birth admission, the average cost of the birth admission was $1348 more for women in the obese class II, and $1952 more for women in the obese class III, compared to women in a normal BMI weight class. Higher ARFS was associated with a small statistically significant reduction in maternal length of stay (RR = 1.24, 95% CI 1.00, 1.54; p = 0.05). There was no evidence of an association between ARFS and mode of delivery or “midwifery-in-the-home-visits”.     

Pre-Pregnancy Weight Status Is Associated with Diet Quality and Nutritional Biomarkers during Pregnancy

Although the positive association between pre-pregnancy overweight and obesity with excessive gestational weight gain is well known, it is not clear how pre-pregnancy weight status is associated with gestational weight gain through maternal diet during pregnancy. This study aimed to examine the relationship between pre-pregnancy weight status and diet quality and maternal nutritional biomarkers during pregnancy. Our study included 795 U.S. pregnant women from the National Health and Nutrition Examination Survey, 2003–2012. Pre-pregnancy body mass index (BMI) was calculated based on self-reported pre-pregnancy weight and height. The cutoff points of <18.5 (underweight), 18.5–24.9 (normal), 25.0–29.9 (overweight), and 30 kg/m² (obese) were used to categorize pregnant women’s weight status. Diet quality during pregnancy was assessed by the Healthy Eating Index (HEI)-2010 based on a 24-h recall. Multivariable logistic regressions were used to estimate the odds ratios (OR) and 95% confidence intervals (CI). For all pregnant women included in this study, the mean HEI-2010 (±standard error of the mean (SEM)) was 50.7 (±0.9). Women with obese pre-pregnancy BMI demonstrated significantly lower HEI-2010 compared to those with underweight and normal pre-pregnancy BMI, respectively. In an unadjusted model, women with pre-pregnancy obesity BMI had increased odds for being in the lowest tertile of HEI-2010 (33.4 ± 0.5) compared to those with underweight pre-pregnancy BMI (OR 5.0; 95% CI 2.2–11.4). The inverse association between pre-pregnancy overweight and obesity status and diet quality during pregnancy persisted even after we controlled for physical activity levels (adjusted OR (AOR) 3.8; 95% CI 1.2–11.7, AOR 5.4; 95% CI 2.0–14.5, respectively). Serum folate concentration (ng/mL) was significantly higher in underweight women compared to overweight women (23.4 ± 1.7 vs. 17.0 ± 0.8, p < 0.05). Serum iron concentration (ng/dL) was significantly higher in normal weight women compared to overweight women (86.2 ± 5.0 vs. 68.9 ± 3.0, p < 0.05). An inverse association was found between pre-pregnancy weight status and diet quality and maternal nutritional biomarkers during pregnancy. Poor diet quality as measured by HEI-2010 was shown among overweight and obese women. Nutrition education and interventions need to be targeted to those women entering pregnancy as overweight and obese.     

Impact of portion-control plates (PCP) on weight reduction: A systematic review and meta-analysis of intervention studies

BackgroundThe purpose of this systematic review and meta-analysis was to assess whether the available research to date supports the use of portion-controlled plate (PCP) and leads to reductions in body weight and improvements in other anthropometric and biochemical parameters. The systematic review summarizes existing PCPs and their impact on anthropometric and metabolic changes.MethodsA systematic search was conducted in the following databases: PubMed®, Web of Science®, Scopus®. Data were pooled using random or fixed effects meta-analysis.ResultsFrom 426 potentially relevant articles, 5 publications were included in this review, and 4 of which reported four different PCPs. All five studies reported a positive effect of PCP on obesity and metabolic parameters. PCP significantly reduced body weight (BW) by 2.02 kg (95% CI, ?3.03 to ?1.01, p < 0.0001), body mass index (BMI) by 0.87 kg m^?2 (95% CI, ?1.28 to ?0.47, p < 0.0001) and waist circumference (WC) by 2.28 cm (95% CI, ?4.57 to 0.01, p = 0.05). A non-significant reduction was observed for waist-to-hip ratio (WHR) (?0.01, 95% CI, ?0.03 to 0.01, p = 0.35) during the three-month intervention period. PCP significantly decreased both BW (?1.66 kg; 95% CI, ?2.69 to ?0.62, p = 0.002) and percentage body weight (% BW) (?1.64%; 95% CI, ?2.69 to ?0.58, p = 0.002) when the intervention was undertaken for a 6-month period.ConclusionsOverall, results showed that portion control intervention significantly reduced BW, BMI and WC, along with a positive trend for WHR, plus biochemical and blood pressure reduction.     

Perinatal weight and risk of prenatal and postpartum depressive symptoms

PurposePrepregnancy obesity and weight changes accompanying pregnancy (gestational weight gain and postpartum weight retention) may be associated with risk of maternal depressive symptoms during pregnancy and in the postpartum. The few studies that have examined these relationships report conflicting findings.MethodsWe studied pregnant (n = 2112) and postpartum (n = 1686) women enrolled in Project Viva. We used self-reported prepregnancy and postpartum weight and measured prenatal weight to calculate prepregnancy body mass index (BMI), gestational weight gain (GWG), and postpartum weight retention at 6 months after birth. We assessed elevated depressive symptoms (EDS) with the Edinburgh Postnatal Depression Scale (≥13 on 0–30 scale) at midpregnancy and 6 months postpartum. We used logistic regression to estimate the odds of prenatal and postpartum EDS in relation to prepregnancy BMI, GWG, and postpartum weight retention.ResultsA total of 214 (10%) participants experienced prenatal EDS and 151 (9%) postpartum EDS. Neither prepregnancy BMI nor GWG was associated with prenatal EDS. Prepregnancy obesity (BMI ≥ 30 kg per m²) was associated with higher odds of postpartum EDS (odds ratio = 1.69, 95% confidence interval, 1.01–2.83) compared to normal prepregnancy weight in a model adjusted for age, race/ethnicity, nativity, education, marital status, household income, parity, pregnancy intention, and smoking.ConclusionsPrepregnancy obesity is associated with elevated depressive symptoms in the postpartum period. Given the current obesity epidemic in the US and the consequences of perinatal depression, additional prevention and screening efforts in this population may be warranted.     

Associations of weight,weight change,and body mass with breast cancer risk in Hispanic and non-Hispanic white women

PURPOSE: A wealth of studies have examined the effects of weight, weight gain, and obesity on breast cancer risk; however, few have examined this relationship in Hispanic white women, a population with the highest rate of obesity in the U.S. METHODS: A population-based case-control study was conducted in New Mexico of Hispanic (n = 694) and non-Hispanic (n = 813) white women with incident breast cancer during the period of January 1, 1992 through December 31, 1994. Conditional logistic regression models were fitted to estimate the relative risk of breast cancer for levels of weight, weight change, and body mass index (BMI) and to assess differences in the effects by ethnicity, menopausal status, early life BMI, and estrogen receptor/progesterone receptor (ER/PR) expression in tumors. RESULTS: Weight change from age 18 to usual adult weight was associated with increased risk of breast cancer among Hispanics [4th quartile vs. baseline, odds ratio (OR): 2.41; 95% confidence interval (CI): 1.45-4.03] with no substantial variation by menopausal status. In non-Hispanic white women, weight change was a risk factor for those in the post-menopausal group (4th quartile vs. baseline, OR: 2.27; 95% CI: 1.09-4.73). The effect of usual BMI (test for interaction p = 0.04) and weight change (test for interaction p = 0.03) differed by ethnicity. Increased risk from weight gain was largely restricted to women who were lean at age 18 and those with ER(+)/PR(+) tumors. Height, weight at age 18, and BMI at age 18 were not associated with risk in either ethnic group. CONCLUSIONS: Weight change and obesity are risk factors for breast cancer in both Hispanic and non-Hispanic white women. However, the risk for Hispanic women is evident independent of menopausal status, while the risk for non-Hispanics is apparent in post-menopausal women. Due to the increasing prevalence of adult obesity, particularly among Hispanic women, adult weight gain may be an important modifiable risk factor for the primary prevention of breast cancer among Hispanic populations.     

孕前体质指数及孕期增重对新生儿出生体重影响的前瞻性队列研究

  目的   分析孕妇孕前体质指数(body mass index, BMI)及孕期增重(gestational weight gain, GWG)与新生儿出生体重的关联性, 并探究孕妇孕前及孕中体重动态变化对新生儿低出生体重(low birth weight, LBW)及巨大儿的影响。   方法   收集中国孕产妇队列·协和纳入的孕早期孕妇孕前体重, 并随访至分娩后, 收集分娩前体重及新生儿出生结局。将孕妇孕前BMI分为低体重组、正常体重组及超重/肥胖组, 将GWG分为适宜、不足及过多组。采用多因素多分类(多项)Logistic回归分析模型探讨孕前BMI及GWG与新生儿出生体重的关系。   结果   孕前BMI及GWG与子代出生体重相关(均有P < 0.05)。孕前超重/肥胖(OR=2.339, 95% CI:1.674~2.282, P < 0.001)、GWG过多(OR=1.398, 95% CI:1.188~1.978, P=0.048)显示为巨大儿的危险因素, GWG不足(OR=1.479, 95% CI:1.461~1.679, P=0.035)显示为LBW的危险因素, GWG过多会降低LBW的发生风险(OR=0.428, 95% CI:0.225~0.817, P=0.010)。低BMI-GWG不足(OR=1.335, 95% CI:1.048~2.319, P=0.048)是LBW的危险因素; 正常BMI-GWG过多(OR=1.088, 95% CI:1.016~1.675, P=0.038)和超重/肥胖-GWG过多(OR=1.498, 95% CI:1.244~2.017, P=0.046)是巨大儿的危险因素。   结论   孕前BMI及GWG是影响新生儿出生体重的重要因素, 提示女性应合理控制孕前及孕中体重变化。     

Contraceptive choices of overweight and obese women in a publically funded hospital: possible clinical implications

BackgroundDespite the growing obesity epidemic in the United States, family planning for overweight and obese women has been understudied. The aim of this study was to describe the contraception methods selected by normal weight, overweight and obese women.Study DesignWe retrospectively reviewed 7262 charts of women who underwent first trimester surgical termination of pregnancy at the John H. Stroger, Jr. Hospital of Cook County between January 1, 2008, and January 1, 2010. We analyzed the relationship between body mass index (BMI) and choice of contraceptive method, after adjusting for age, race, smoking and level of education.ResultsWhen compared to patients with BMI <25 kg/m², overweight (BMI 25–29.9 kg/m²) and obese patients (BMI ≥30 kg/m²) were more likely to select the intrauterine device (OR 1.3, 95% CI 1.28–1.32 for overweight; OR 1.6, 95% CI 1.59–1.61 for obese), contraceptive ring (OR 1.4, 95% CI 1.28–1.52 for overweight; OR 1.6, 95% CI 1.57–1.63 for obese) and tubal ligation (OR 1.5 95% CI 1.44–1.62 for overweight; OR 2.9, 95% CI 2.79–3.01 for obese). They were less likely to choose injectable contraception (OR 0.7, 95% CI 0.59–0.81 for overweight; OR 0.52, 95% CI 0.48–0.56 for obese). There was no relationship between BMI and choice of condoms, oral contraceptive pills and implantable methods.ConclusionIn our population, the contraceptive choices of overweight and obese women differed from those of normal weight women. These differences in contraceptive selection are important to recognize in light of the potential effect of BMI on the safety and efficacy of different contraceptive methods. Further research is needed to evaluate the contraceptive preferences, risks and benefits for overweight and obese women.     

Enacted weight stigma and weight self stigma prevalence among 3821 adults

BackgroundWeight stigma is associated with several negative health issues such as anxiety, depression, maladaptive eating, and metabolic and cardiovascular disease, independent of weight and problematic for individuals of all ages and body sizes. To reduce harmful effects of weight stigma, it is imperative we accurately capture the prevalence of weight stigma in the population to better understand the magnitude of the problem. The purpose of this study was to describe the prevalence of both enacted weight stigma and weight-self stigma and include important contextual factors such as demographic characteristics and the belief about personal controllability of body weight.MethodsThis cross-sectional study included over 3800 adults who completed an online survey that captured their experiences with weight-based discrimination, teasing and beliefs about obesity. Using multivariate logistic regression, we predicted the odds of weight stigma across demographic characteristics and beliefs about obesity.ResultsThe prevalence of weight stigma in this sample was 57%. We found that the odds of weight discrimination and teasing are higher across BMI categories and that the odds of weight self-stigma are highest among those who are categorized as overweight or obese. Additionally, the odds of weight self-stigma are higher for those who believe individuals are personally responsible for body weight.ConclusionsOur findings are comprehensive and offer new information crucial to our overall understanding of weight-based stigma and discrimination. Most people have weight stigma and it is prevalent in individuals of all body sizes. This study has significant implications for research and clinical practice.     

Maternal Diet,C-Reactive Protein,and the Outcome of Pregnancy

Objective: To examine the association of high-sensitivity C-reactive protein (hsCRP), a systemic biomarker for the inflammatory process at entry to care, with pregnancy-induced hypertension/preeclampsia, adverse outcomes of pregnancy, and the maternal diet.

Design: Random sample (N = 520) with normal glucose tolerance from a large prospective cohort study of urban, low income, minority gravidae.

Results: During pregnancy, the highest tertile of hsCRP (range, 7.06–137.41 mg/L) was associated with significantly increased risks for early preterm delivery (<34 weeks). However, after stratification by maternal pregravid body mass index (BMI), risk for early preterm delivery <34 weeks (adjusted odds ratios [AOR] = 3.58, 95% confidence interval [CI] = 1.05–12.27), and pregnancy-induced hypertension (AOR = 2.66, 95% CI = 1.03–6.86) including preeclampsia (AOR = 2.72, 95% CI = 1.08–6.85) was shown to be specific to lean women (BMI <25) with high hsCRP. Increased hsCRP was unrelated to risk among overweight and obese gravidae. We found high hsCRP to be associated with diet. After stratification by BMI, dietary differences (higher intakes of protein and cholesterol with a lower intake of carbohydrate and a higher entry dietary glycemic index) were associated with increased hsCRP only among lean gravidae and not among those who were overweight or obese.

Conclusions: High hsCRP is a diet-related biomarker for serious complications and poor outcome in lean women with normal glucose tolerance.     

Effect of weight loss on bone metabolism in postmenopausal obese women with osteoarthritis

BackgroundThe choice of hypocaloric diets in obesity can affect bone health.AimsThe aim of this study is to assess the effect of a hypocaloric diet in postmenopausal obese women and to determine the influence of weight reduction on bone metabolism.MethodsThis was a non-randomised, single-treatment study in 96 postmenopausal women with a body mass index (BMI) greater than 35 kg/m² and osteoarthritis. The patients received a formula diet with two intake levels of a normocaloric hyperproteic formula (1035 kcal (25% protein)). Anthropometry and biochemistry with CrossLaps, osteocalcin, parathyroid hormone (PTH) and 25-OH vitamin D were measured. Consumption of protein, calcium and vitamin D were determined at the beginning of and 3 and 6 months into the study. The response to treatment was compared (high-responder (HR): weight loss greater than 15%, and low-responder (LR): weight loss less than 15%).ResultsThe mean age was 64.2 (7.5) years. After 6 months of treatment, a weight loss of 10.2% (8.2–13.8) was observed. There was a significant increase in vitamin D (HR: 21.8% (36.2) vs. LR: 22.7% (36.9), p = 0.93) and CrossLaps (HR: 26.8% (19.5–35.2)) vs. LR: 13.3% (?6.1 to 27.9), p = 0.01). The loss of more than 15% of initial body weight was an independent risk factor for an increase in CrossLaps (OR: 4.22 (1.1–16.8), p = 0.04).ConclusionsIn postmenopausal obese women, weight loss was associated with an increase in the biochemical parameters of bone resorption. The increase in resorption parameters was related to the magnitude of weight loss.     

西南3省妇女孕前体质指数和孕期增重对新生儿出生体重影响的前瞻性队列研究

目的 探讨孕妇孕前BMI、孕期增重对新生儿出生体重的影响。方法 以来自西南3省的5 395名孕妇为研究对象,根据WHO推荐的BMI分类标准将孕妇分为孕前低体重组、正常体重组、超重组以及肥胖组。按照美国医学研究院推荐的孕期增重标准定义各组孕妇孕期增重是否适宜。采用无序多分类logistic回归模型分析孕前BMI和孕期增重与新生儿出生体重的关系。结果 调整相关混杂因素后,孕前BMI较低（OR=1.91,95% CI：1.47~2.50）是分娩小于胎龄儿（SGA）的危险因素,但可降低分娩大于胎龄儿（LGA）的风险（OR=0.55,95% CI：0.47~0.66）。孕期增重不足会使SGA的发生风险增加（OR=1.57,95% CI：1.21~2.03）,分娩LGA的风险降低（OR=0.48,95% CI：0.41~0.57）。孕前超重肥胖（OR=1.85,95% CI：1.58~2.17）以及孕期增重过多（OR=1.87,95% CI：1.67~2.11）与LGA的发生风险呈正相关。分层分析显示孕期增重不足仅会使孕前BMI较低和正常的孕妇分娩SGA的风险升高,对孕前超重肥胖的孕妇分娩SGA的风险没有影响。结论 孕前BMI和孕期增重是新生儿出生体重的重要影响因素,应加强孕妇健康教育、合理控制孕期增重。     

Healthy excessive weight in Portuguese women 4 years after delivery of a liveborn

ObjectiveTo quantify the prevalence of healthy excessive weight and determinants of metabolic profile, considering women's reproductive life.MethodsWe evaluated 1847 mothers of a birth cohort assembled after delivery and reevaluated 4 years later. A healthy profile was defined as the absence of hypertension, diabetes, dyslipidemia, C-reactive protein < 3 mg/l and being below the second tertile of HOMA-IR. Adjusted odds ratios (OR) and confidence intervals (95% CI) were computed using multinomial logistic regression, taking women with normal BMI as the reference category of the outcome.ResultsFour years after delivery, 47% of women had normal BMI, 33% were overweight and 20% obese. In each BMI class, 61%, 33% and 12% presented a healthy metabolic profile, respectively. Family history of CVD/cardiometabolic risk factors was associated with a higher probability of obesity with a not healthy metabolic profile (OR = 1.39 95% CI: 0.98–1.98). Women who breastfed the enrolled child for > 26 weeks and practiced physical exercise were less likely to be obese and metabolically unhealthy (OR = 0.39 95% CI: 0.23–0.68; OR = 0.48 95% CI: 0.33–0.70, respectively), with no effect on healthy excessive weight.ConclusionsThese results support the existence of a healthy excessive weight phenotype in women after motherhood, influenced by anthropometrics, genetic and lifestyles characteristics.     

Dieting attempts modify the association between quality of diet and obesity

Evidence on the nature of the relationship between obesity and the quality of diet remains controversial. Likewise, the possible effect of dieting attempts on this association is poorly understood. This study investigates the possible modifying effect of dieting attempts on the association between the quality of diet and obesity. The authors hypothesize that among dieters the association may be biased. The study was based on a Finnish cohort, including 5910 men and women aged 30 to 99 years, with information on diet and body mass index (BMI). Using data from a food frequency questionnaire (FFQ), an Alternate Healthy Eating Index (AHEI) applicable to the Finnish regimen was formed. Obesity was defined as a BMI ≥30 kg/m². Information on dieting attempts was collected using a questionnaire. The statistical analyses were based on linear and logistic regression. We found a positive association between the quality of the diet and obesity, the relative odds of obesity between the highest and lowest quintiles of AHEI being 1.48 (95% CI, 1.20-1.82) after adjustment for confounding factors. However, in the interaction analysis of dieting attempts and AHEI, no association was observed in non-dieters (OR, 0.92; 95% CI, 0.69-1.24) but among dieters a slightly elevated risk was found (OR, 1.40; 95% CI, 0.98-1.98). We found no association between a high quality diet and obesity among non-dieters, but a tendency for a positive association in dieters. Dieting thus seems to modify the association between diet and obesity, which should be further studied using a longitudinal design.