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ABSTRACT Objective: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. Materials and methods: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of pre-conception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m2. Results: No association between previous paternal BMI and offspring's body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring's total lean mass (β = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (β = 0.11, p = 0.003) and fat mass index (FMI) (β = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring's BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring's ASMI (β = 0.42, p = 0.046), FMI (β = 0.22, p = 0.005) and android-to-gynoid fat ratio (β = 0.09, p = 0.035). Conclusion: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity.

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Objective: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. Methods: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of preconception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m2. Results: No association between previous paternal BMI and offspring's body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring's total lean mass (ß = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (ß = 0.11, p = 0.003) and fat mass index (FMI) (ß = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring's BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring's ASMI (ß = 0.42, p = 0.046), FMI (ß = 0.22, p = 0.005) and android-to-gynoid fat ratio (ß = 0.09, p = 0.035). Conclusion: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity.

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Muscle and bone have been considered a functional unit that grows together early in life, deteriorates with aging, and can cause osteosarcopenia. Due to its importance in public health, detecting risk factors in early life is desirable. This study examined whether birth weight (BW) was associated with muscle-bone unit using dual energy X-ray absorptiometry (DXA) parameters in young women from the Nutritionists' Health Study (NutriHS), a cohort study of undergraduates and Nutrition graduates. This cross-sectional analysis included 170 young healthy women who answered early life events-questionnaire, and had anthropometric, muscle tests and DXA-determined body composition and bone densitometry (iDXA-Lunar®). A blood sample was obtained for a subsample of 148 participants. Appendicular skeletal muscle mass index (ASMI) was calculated. BW was categorized in quartiles (BWq) and variables of interest compared by ANOVA. Associations of BWq with calf circumference (CC), handgrip, muscle performance tests, ASMI, bone mineral density and content (BMD and BMC), and plasma glucose, lipids, insulin, and 25-hydroxyvitamin D were performed using multiple linear regression and directed acyclic graph-recommended adjustments. Mean values of age, body mass index, and BW were 23.0 years (20.0-28.0), 22.9 ± 2.9 kg/m2, and 3199 ± 424 g, respectively. Comparing variables across BWq, significant differences in CC, handgrip, ASMI, and total body BMC were detected. Regression models adjusted for confounders showed associations of BWq with CC (ß = 0.72, p = 0.005), handgrip (ß = 1.53, p = 0.001), ASMI (ß = 0.16, p = 0.022), total body BMC (ß = 64.8, p = 0.005), total femur BMC (ß = 0.70, p = 0.041), total body BMD (ß = 0.02, p = 0.043), and lumbar spine BMD (ß = 0.03, p = 0.028). We conclude that BW is associated with muscle-bone unit using DXA-parameters in Brazilian young healthy women from the NutriHS, suggesting a role for intrauterine environment for musculoskeletal health.

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OBJECTIVES: The aim of this study was to examine whether paternal and maternal body mass indexes (BMIs) were independently associated with obestatin and visfatin levels in adult offspring. METHODS: This cross-sectional analysis included 124 women who participated in the Nutritionists' Health Study (NutriHS) at baseline. Early life events, anthropometry, dual-energy x-ray absorptiometry-determined body composition and blood sample were obtained. Associations of parental BMI with outcomes (obestatin and visfatin) were tested by multiple linear regression, using minimal sufficient adjustments recommended by Directed Acyclic Graph. Participants' mean BMI was 25 ± 5 kg/m2 and 74% were metabolically healthy. Median obestatin and visfatin levels were 56.4 pg/mL (42-72) and 17.7 ng/mL (14-21.8), respectively. Eleven percent of mothers and 39% of fathers were overweight/obese. RESULTS: Daughters born from overweight/obese mothers had higher BMI than those born from normal weight women (P = 0.003). In adjusted regression model, offspring obestatin levels were associated with maternal BMI (ß = -0.03; P = 0.045) and paternal BMI (ß = -0.02; P = 0.048) independently of maternal and paternal education, maternal age, and maternal use of tobacco, alcohol, and/or drugs. No association was detected with visfatin levels. CONCLUSION: Inverse associations of maternal and paternal BMIs with offspring obestatin concentrations in women could suggest a utility of this biomarker of energy regulation determined in early adulthood. Whether obestatin could be an indicator of protection against obesity-related disorders in the life course requires investigation in studies designed to test such hypothesis.

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OBJECTIVE: To investigate the association between maternal pre-pregnancy BMI and offspring body composition in adulthood. DESIGN: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists' Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were dual-energy x-ray absorptiometry-determined. The following variables were obtained: body fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. SETTING: São Paulo, Brazil. PARTICIPANTS: Healthy non-pregnant women (aged 20-45 years) (n 150). RESULTS: Median age and BMI were 22 years (IQR = 20, 29) and 22·3 kg/m2 (IQR = 20·4, 25·3), respectively. Pre-pregnancy BMI ≥ 25 kg/m2 was reported by 14·7 % of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters' body fat % (ß = 0·31; 95 % CI 0·0004, 0·63), FMI (ß = 0·17; 95 % CI 0·03, 0·30), android-to-gynoid ratio (ß = 0·01; 95 % CI 0·004, 0·02) and VAT (ß = 0·09; 95 % CI 0·02, 0·16), but not with total bone density (ß = 0·001; 95 % CI -0·003, 0·006) and content (ß = 7·13; 95 % CI -4·19, 18·46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. CONCLUSIONS: Maternal pre-pregnancy BMI was directly associated with offspring general and visceral adiposity but seems not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.

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BACKGROUND/OBJECTIVES: We investigated if breastfeeding duration and current dietary patterns (DP) were associated with glucose and lipid metabolism biomarkers in women from the Nutritionist's Health Study. SUBJECTS/METHODS: This is a cross-sectional analysis of 200 healthy undergraduates and nutrition graduates aged ≤45 years. Total [<6; ≥6 months] and predominant [<3; ≥3 months] breastfeeding were recalled using questionnaires. Diet were assessed using a food frequency questionnaire. DP obtained by factor analysis by principal component were categorized into tertiles of adherence (T1 = reference). Glucose and lipid biomarkers were categorized into tertiles (T1 + T2 = reference). Logistic regression was applied considering minimal sufficient adjustment recommended by directed acyclic graphs. RESULTS: Median (interquartile range) age and BMI were 23.0 (20.0; 28.5) years and 22.6 (20.7; 25.4) kg/m2, respectively. Mean ± SD values of glucose, LDL-c and HDL-c were 82.0 ± 9.0, 101.1 ± 29.6 and 54.4 ± 12.4 mg/dL, respectively. Women breastfed for <6 months had higher chance of being classified into T3 of insulin (OR = 2.87; 95%CI = 1.28-6.40). Predominant breastfeeding < 3 months was associated with insulin levels (OR = 2.27; 95%CI = 1.02-5.02) and HOMA-IR (OR = 2.36; 95%CI = 1.06-5.26). Breastfeeding was not associated with lipids. The Processed pattern was directly associated with LDL-c (T3: OR 6.08; 95%CI 1.80-20.58; P-trend = 0.004), while the Prudent pattern was inversely associated with LDL-c (T3: OR 0.26; 95%CI 0.08-0.87; P-trend = 0.029) and LDL-c/HDL-c ratio (T3: OR 0.28; 95%CI 0.08-0.97; P-trend = 0.046). CONCLUSION: Early feeding could be a protective factor against insulin resistance development, while current DP were associated with lipid profile. This evidence indicates that from early life until early adulthood, dietary habits might influence women's cardiometabolic risk profile.

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Little is known about the long-term effect of breastfeeding on dietary habits. We examined the association between breastfeeding duration and adherence to current dietary patterns of young women. This was a cross-sectional analysis of 587 healthy women aged ≤45 years, undergraduates or nutrition graduates. Maternal characteristics and breastfeeding duration [<6; 6-<12; ≥12 months (reference)] were recalled. Diet was assessed using a food frequency questionnaire and patterns were identified using factor analysis by principal component. Adherence to patterns was categorized in tertiles; the first (T1 = reference) was compared to T2 + T3 (moderate-to-high adherence). Logistic regression was performed considering the minimal sufficient adjustment recommended by the directed acyclic graph. Median age was 22 (interquartile range (IQR) 20; 27) years and body mass index (BMI) 22.2 (IQR 20.4; 25.0) kg/m2. The four dietary patterns identified (Processed, Prudent, Brazilian and Lacto-vegetarian) explained 27% of diet variance. Women breastfed for <6 months showed lower chance of moderate-to-high adherence to the Prudent pattern (odds ratio (OR) = 0.53, p = 0.04). Breastfeeding was not associated with the other patterns. Maternal pre-pregnancy BMI was directly associated with moderate-to-high adherence to the Processed pattern (OR = 2.01, p = 0.03) and inversely to the Prudent pattern (OR = 0.52, p = 0.02). Higher adherence to the Brazilian pattern was associated with proxies of low socioeconomic status and the Lacto-vegetarian pattern with the opposite. Confirmation in prospective studies of the association found in this study between breastfeeding with the Prudent pattern in adult offspring could suggest that early feeding practices influence long-term dietary habits, which could then affect the risk of nutrition-related diseases.

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Background: Visceral adiposity is a risk factor for cardiometabolic diseases and dual-energy x-ray absorptiometry (DXA) represents precise method for measuring visceral adipose tissue (VAT), muscle and bone compartments. The musculoskeletal system deteriorates with aging and may result in osteosarcopenia. Since known risk factors do not fully explain the occurrence of osteosarcopenia, the search for new causal factors, as birth weight (BW) is promising. Objectives: To evaluate whether BW was associated with DXA-determined body composition, bone densitometry and cardiometabolic risk markers in young women from the NutriHS. Paper 1 objective: to propose reference values for DXA-determined VAT, and to test their ability to identify the cardiometabolic risk profile. Paper 2: to examine whether BW was associated with muscle and bone DXA-determined parameters. Paper 3: to investigate whether parameters of muscle and bone compartments were associated and possible predictive factors of these compartments throughout life. Methods: NutriHS is a cohort study conducted in undergraduates and Nutrition graduates and here cross-sectional analyses were performed in 201 healthy women (20-45 years). They answered questionnaires and had anthropometry, muscle strength and performance, DXA-determined body composition and bone densitometry obtained. A random sample of 148 participants had also laboratory tests collected. Multiple regression models, using the directed acyclic graphs-recommended adjustments, were employed. Results: Median age was 23 years and mean BMI was 22.9±2.9 kg/m2. Paper 1: Mean VAT mass and volume were 221.0±306.1 g and 231.8±323.8 cm3, respectively. The third tertiles of VAT were significantly associated with increased frequencies of abnormal anthropometry, HOMA-IR and TyG indexes. Paper 2: Mean BW was 3,199±424 g; BW in quartiles was significantly associated with several muscle and bone parameters. Paper 3: Direct, strong and independent associations between bone and muscle variables were detected. Discussion: Cutoffs for DXA-derived VAT mass (221.0 g) and volume (231.8 cm3) are being suggested for Brazilian young women; these seem able to disclose a mild visceral fat accumulation, prior the deterioration of glucose and lipid metabolism. The role of BW as an early marker for muscle and bone states in young adulthood was shown. In addition, a musculoskeletal profile for a healthy stratus of the Brazilian women was firstly described. Our findings indicated a muscle-bone crosstalk even in young adults and suggested predictive factors (such as BW, physical activity, smoking) of muscle and bone compartments

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