Trajectories of Weight for Length Growth for Infants During the First Year of Life

Background: Childhood obesity is a major public health problem. Studies of patterns of child growth contributing to the development of obesity are scarce, particularly in infancy. Group based trajectory analyses among infants are a novel procedure that may help characterize subgroups of infants with similar longitudinal growth profiles. Objective: To identify trajectories of weight for length growth during the first year of life. Methods: Subjects were singleton infants and their mothers (N=90 mother-infant pairs) who participated in the Pregnancy and Postpartum Observational Dietary Study. Women completed assessments throughout their infant\u27s first year of life and included sociodemographic characteristics and feeding behaviors. Infant weight for length measures from birth to 12 months were abstracted from pediatric office records. Weight for length percentiles were calculated according to the World Health Organization guidelines for infants. Group-based trajectory analysis was done to identify subgroups of infants with similar growth profiles. Results: Infants were from mother’s with average of 28 years (SD=5.2), 70.0% White, 60.0% high-school educated and 63.2% had two or more children. Over half of mothers introduced solid foods to their infants by 6 months of age (63.2%) and about one third self-reported breast feeding at 12 months post-partum (31.9%). Three growth trajectories were identified: a low and stable growth group (38.3%), a rapid growth group (35.0%) and a moderate growth group (26.7%). Maternal and feeding variables were all similar across the three infant growth trajectory groups (p\u3e0.05). Conclusion: Trajectory models suggested three patterns of infant growth. If replicated, future studies can help identify and subsequently target modifiable risk factors associated with rapid infant growth trajectories

Seasonal pattern of peptic ulcer hospitalizations: analysis of the hospital discharge data of the Emilia-Romagna region of Italy

BACKGROUND: Previous studies have reported seasonal variation in peptic ulcer disease (PUD), but few large-scale, population-based studies have been conducted. METHODS: To verify whether a seasonal variation in cases of PUD (either complicated or not complicated) requiring acute hospitalization exists, we assessed the database of hospital admissions of the region Emilia Romagna (RER), Italy, obtained from the Center for Health Statistics, between January 1998 and December 2005. Admissions were categorized by sex, age ( or = 75 yrs), site of PUD lesion (stomach or duodenum), main complication (hemorrhage or perforation), and final outcome (intended as fatal outcome: in-hospital death; nonfatal outcome: patient discharged alive). Temporal patterns in PUD admissions were assessed in two ways, considering a) total counts per single month and season, and b) prevalence proportion, such as the monthly prevalence of PUD admissions divided by the monthly prevalence of total hospital admissions, to assess if the temporal patterns in the raw data might be the consequence of seasonal and annual variations in hospital admissions per se in the region. For statistical analysis, the chi2 test for goodness of fit and inferential chronobiologic method (Cosinor and partial Fourier series) were used. RESULTS: Of the total sample of PUD patients (26,848 [16,795 males, age 65 +/- 16 yrs; 10,053 females, age 72 +/- 15 yrs, p or = 75 yrs of age. There were more cases of duodenal (DU). (89.8%) than gastric ulcer (GU) (3.6%), and there were 1,290 (4.8%) fatal events. Data by season showed a statistically difference with the lowest proportion of PUD hospital admissions in summer (23.3%) (p < 0.001), for total cases and rather all subgroups. Chronobiological analysis identified three major peaks of PUD hospitalizations (September-October, January-February, and April-May) for the whole sample (p = 0.035), and several subgroups, with nadir in July. Finally, analysis of the monthly prevalence proportions yielded a significant (p = 0.025) biphasic pattern with a main peak in August-September-October, and a secondary one in January-February. CONCLUSIONS: A seasonal variation in PUD hospitalization, characterized by three peaks of higher incidence (Autumn, Winter, and Spring) is observed. When data corrected by monthly admission proportions are analyzed, late summer-autumn and winter are confirmed as higher risk periods. The underlying pathophysiologic mechanisms are unknown, and need further studies. In subjects at higher risk, certain periods of the year could deserve an appropriate pharmacological protection to reduce the risk of PUD hospitalization

Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study

Background: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. Methods and findings: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54–105 (mean = 72.7) years and without dementia at baseline. Studies had 2–15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = −0.1, SE = 0.01), APOE*4 carriage (B = −0.31, SE = 0.11), depression (B = −0.11, SE = 0.06), diabetes (B = −0.23, SE = 0.10), current smoking (B = −0.20, SE = 0.08), and history of stroke (B = −0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = −0.07, SE = 0.01), APOE*4 carriage (B = −0.41, SE = 0.18), and diabetes (B = −0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = −0.24, SE = 0.12), and between diabetes and cognitive decline (B = −0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. Conclusions: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences

Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study.

BACKGROUND: With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. METHODS AND FINDINGS: We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54-105 (mean = 72.7) years and without dementia at baseline. Studies had 2-15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = -0.1, SE = 0.01), APOE*4 carriage (B = -0.31, SE = 0.11), depression (B = -0.11, SE = 0.06), diabetes (B = -0.23, SE = 0.10), current smoking (B = -0.20, SE = 0.08), and history of stroke (B = -0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = -0.07, SE = 0.01), APOE*4 carriage (B = -0.41, SE = 0.18), and diabetes (B = -0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = -0.24, SE = 0.12), and between diabetes and cognitive decline (B = -0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. CONCLUSIONS: These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences

Physiological and Psychological Stressors Associated with Glucose Metabolism in the Boston Puerto Rican Health Study

Background: Puerto Ricans experience high prevalence of type 2 diabetes (diabetes). Stress is a risk factor for diabetes. The allostatic load (AL) model explains how stress influences disease through a chain of physiological changes. Puerto Ricans experience psychological and physiological (obesity and high glycemic load (GL)) stressors linked with diabetes, yet how these stressors impact the AL chain and how their interplay affects glucose metabolism remains unknown. Methods: Using data from the Boston Puerto Rican Health Study, this thesis sought to examine: 1) the relationship between GL and primary AL markers, 2) the interaction between perceived stress and GL on HbA1c, and if primary AL markers mediate this interaction, and 3) the interaction between change in weight and in perceived stress on HbA1c. Results: 1) GL change over 2 years was associated with increases in primary AL markers in women. 2) Women with high perceived stress and high GL had higher HbA1c and primary AL markers did not mediate this interaction. 3) In women, there was an interaction between change in weight and perceived stress on HbA1c over 2 years, with the effect of weight change on HbA1c being greater with increases in perceived stress. None of these associations were observed in men. Conclusion: This study partially confirms the AL model in Puerto Rican women but not in men. It provides data to inform intervention targets to prevent and manage diabetes in Puerto Rican women and identifies women at high risk of diabetes in this minority group

Do plastic zones form at crack tips in silicate glasses?

International audienceA number of recent studies claim that silicate glasses fracture by the formation, growth and coalescence of cavities at crack tips, in the same way as metals, but at a much smaller scale. Evidence for cavity formation comes from the examination of side surfaces of fracture mechanics specimens, at the point where the crack tip intersects the free surface. Such measurements exhibit small depressions in regions that are supposedly located in front of moving crack tips. These depressions were interpreted as cavities. In this paper, we summarize experimental results obtained using, an atomic force microscope to characterize the fracture surfaces. The experimental results demonstrate an absence of residual damage on fracture surfaces that could be interpreted as cavity formation. We also observe cracks moving in glass and show that the features reported as cavities actually occur behind and not in front of the moving crack. A simulation of an atomic force microscope probe passing over the emerging tip of a crack in glass suggests that the features identified as cavities are in fact due to the roughness of the specimen surface. Our results support the view that cracks in glass propagate by brittle fracture. We find no evidence for nanoscale ductility in silicate,glasses

Association Between Obstetric Provider\u27s Advice and Gestational Weight Gain

Objective This study examined associations between pregnant women\u27s report of obstetric provider GWG advice, self-reported adherence to such advice, and GWG. Methods Healthy pregnant women (N = 91) who started obstetric care prior to 17 weeks of gestation completed assessments between 30 and 34 weeks of gestation. These included survey (questions on receipt of and adherence to provider GWG advice, and demographics) and anthropometric measures. GWG data were abstracted from electronic health records. Analyses included Chi square and Mann-Whitney tests, and binary and multivariate logistic regressions. Results The cohort\u27s median age was 28 years, 68% of women were White, 78% had a college education, 50.5% were overweight or obese before the pregnancy, and 62.6% had GWGs above the Institute of Medicine-recommended ranges. Sixty-seven percent of women reported having received GWG advice from their obstetric providers and, of those, 54.1% reported that they followed their provider\u27s advice. Controlling for race, education and pre-pregnancy BMI, receipt of GWG advice was marginally associated with increased odds of excessive weight gain (OR 2.52, CI 0.89-7.16). However, women that reported following the advice had lower odds of excessive GWG (OR 0.18, CI 0.03-0.91) and, on average, gained 11.3 pounds less than those who reported following the advice somewhat or not at all. Conclusions Frequency of GWG advice from obstetric providers is less than optimal. When given and followed, provider advice may reduce the risk of excessive GWG. Research to understand factors that facilitate providers GWG advice giving and women\u27s adherence to providers\u27 advice, and to develop interventions to optimize both, is needed