Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “weighting”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 145 records · Page 8Linked to original sources
PubMed1990

Maternal weight gain in low-income black and Hispanic women: evaluation by use of weight-for-height near term.

This study determined the prevalence of low maternal weight gain among a target group of low-income black and Hispanic women and compared weight-for-height near term with total weight gain during pregnancy as an index of birth-weight classification. One-third (30.8%) of 325 women had weights near term less than 120% of their standard pregravid weight-for-height; there was little variation by ethnic group. After adjusting for gestational age as a covariate of birth weight (P = 0.0001), maternal weight-for-height near term (P = 0.0010), ethnicity (P " 0.0068), and parity (P = 0.0083) significantly influenced birth weight. Women with near-term weights greater than or equal to 120% of their standard pregravid weight-for-height delivered infants with higher birth weights (P = 0.001). Comparison of weight-for-height near term with total weight gain as an index of birth-weight classification (less than or greater than or equal to 3000 g) revealed that the two methods differ in terms of sensitivity and specificity with variation in pregravid weight.

Adolescent↗
PubMed2001

Weight change, body weight and mortality: the impact of smoking and ill health.

OBJECTIVES: This paper examines the influence of cigarette smoking and ill health on the relationship between weight change, body weight and subsequent mortality to determine whether weight loss and leanness in middle to older age is deleterious to health. METHODS: Men aged 40-59 years at screening drawn from one general practice in each of 24 British towns, who completed a questionnaire 5 years after screening (Q5) and provided full information on changes in weight and smoking status (n = 7065) were then followed up for an average of 13.8 years. RESULTS: In all men a shallow U-shaped relationship was seen between body mass index (BMI) at Q5 and all-cause mortality rates. Weight loss and substantial weight gain (> or =10%) were associated with increased mortality rates compared to the stable weight group. The increased risk associated with weight loss was seen in long- term non-smokers (n = 4101) and recent ex-smokers (n = 722) but not in current smokers (n = 2242) after adjustment for a wide range of potential confounders. However, the increased risk was markedly attenuated after exclusion of those with ill health (relative risk [RR] = 1.16, 95% CI : 0.84-1.59 and RR = 0.79, 95% CI : 0.29-2.20 for long-term non-smokers and recent ex-smokers, respectively). Moderate weight gain (4-10%) was associated with lower risk of mortality than observed in those with stable weight but only in recent ex-smokers and in current smokers, not in long-term non-smokers. A positive association was seen between BMI at Q5 and all-cause mortality in non-smokers and this was strengthened by exclusion of men with weight loss. CONCLUSION: The increased risk of mortality associated with weight loss or low body weight in middle-aged and older men appears to be a direct consequence of ill health leading to weight loss and leanness. In healthy non-smoking men weight loss and leanness are not associated with increased mortality and moderate weight gain (4-10%) was neither deleterious nor beneficial.

Adult↗
PubMed2006

Prevalence of mental disorders in normal-weight and obese individuals with and without weight loss treatment in a German urban population.

OBJECTIVE: The aim of the study was to evaluate the prevalence rates of mental disorders in normal-weight individuals and obese individuals with and without weight loss treatment. METHODS: A sample of 251 participants in a conventional weight loss treatment, 153 pre-bariatric surgery patients, 174 normal-weight control participants, and 128 obese control participants not actively losing weight at the time of the investigation were examined. RESULTS: Lifetime prevalence rates of mental disorders in obese women ranged from 46.7% to 60.1% compared with 41.7% in normal-weight women and from 48.0% to 54.4% in obese men compared with 29.8% in normal-weight men. Prevalence rates of mental disorders did not differ significantly between normal-weight and obese women not currently in weight loss treatment; however, the rates were significantly lower compared with both obese treatment groups. Compared with normal-weight men, obese men not currently in weight loss treatment and obese men participating in conventional weight loss treatment showed significantly higher prevalence rates of mental disorders. CONCLUSION: Unlike obese male individuals, obese female participants not currently in weight loss treatment did not differ from normal-weight participants with regard to comorbidity of mental disorders. However, obese female participants who were engaged in weight loss treatment exhibited significantly higher prevalence rates than normal-weight participants.

Adult↗
PubMed1997

Critical periods of maternal weight gain: effect on twin birth weight.

OBJECTIVE: Our purpose was to evaluate the association between maternal weight gain and twin birth weight. STUDY DESIGN: This historic cohort study was based on 646 live-born twin births of > or = 28 weeks from Baltimore, Maryland, Miami, Florida, and Ann Arbor, Michigan. The sum of twin-pair birth weight was modeled as a function of either net maternal weight at delivery or rates of maternal weight gain with use of multiple regression. RESULTS: Birth weight was significantly associated with weight gain before 20 weeks in underweight women, before 20 weeks and after 28 weeks in overweight women, and during all three gestational periods in normal-weight women. Weight gain before 20 weeks had the largest effect on infants of underweight women, less of an effect on infants of normal-weight women, and half as much effect on infants of overweight women. Weight gain after 28 weeks significantly affected the infant birth weights of normal-weight and overweight women, but the effect was half as great among infants of the latter group. CONCLUSIONS: These findings suggest that weight gain during critical periods of gestation significantly influences twin birth weight; these critical periods vary by maternal pregravid weight status.

Adult↗
PubMed2006

Pattern of daily weights among low birth weight neonates in the neonatal intensive care unit: data from a multihospital health-care system.

OBJECTIVES: We sought to generate a contemporary postnatal weight grid for low birth weight (LBW, <2500 g) neonates using actual data, not mathematically derived idealized weight curves. To do this, we collected electronic data from all neonatal intensive care units (NICU) patients weighing 400-2600 g at birth, during 30 consecutive months (January 2003-June 2005) in all four NICU's within a single health system, Intermountain Health Care (IHC). METHODS: A deidentified limited data set was collected from electronic IHC records. Data were limited to the birth weights and all subsequent daily weights, until discharge, death, or transfer to a non-IHC facility. Lines were drawn connecting the exact daily means of body weight for patients in 200 g birth weight groupings, ranging from 400 to 2600 g. We assessed differences in growth patterns predicted by this grid vs three previously published NICU longitudinal weight grids. RESULTS: All recorded weights were electronically extracted for 1813 consecutive patients with dates of birth from January 1, 2003 through June 30, 2005. The daily weights of each patient totaled over 48,000 individual data points. The new grid differed from previously published grids, in that the new grid showed; (1) no predicted postnatal weight loss among neonates in categories<900 g birth weight, (2) less initial weight loss among neonates 900-2500 g, (3) fewer days to regain birth weight among neonates<or=2000 g, and (4) fewer days to gain 100 and 300 g above birth weight in neonates<or=1500 g. SPECULATION: For charting serial weights of LBW neonates in the NICU the new grid may be a useful standard.

Body Weight↗
PubMed2000

Do adaptive changes in metabolic rate favor weight regain in weight-reduced individuals? An examination of the set-point theory.

BACKGROUND: Obese persons generally regain lost weight, suggesting that adaptive metabolic changes favor return to a preset weight. OBJECTIVE: Our objective was to determine whether adaptive changes in resting metabolic rate (RMR) and thyroid hormones occur in weight-reduced persons, predisposing them to long-term weight gain. DESIGN: Twenty-four overweight, postmenopausal women were studied at a clinical research center in four 10-d study phases: the overweight state (phase 1, energy balance; phase 2, 3350 kJ/d) and after reduction to a normal-weight state (phase 3, 3350 kJ/d; phase 4, energy balance). Weight-reduced women were matched with 24 never-overweight control subjects. After each study phase, assessments included RMR (by indirect calorimetry), body composition (by hydrostatic weighing), serum triiodothyronine (T(3)), and reverse T(3) (rT(3)). Body weight was measured 4 y later, without intervention. RESULTS: Body composition-adjusted RMR and T(3):rT(3) fell during acute (phase 2) and chronic (phase 3) energy restriction (P: < 0.01), but returned to baseline in the normal-weight, energy-balanced state (phase 4; mean weight loss: 12.9 +/- 2.0 kg). RMR among weight-reduced women (4771 +/- 414 kJ/d) was not significantly different from that in control subjects (4955 +/- 414 kJ/d; P: = 0.14), and lower RMR did not predict greater 4-y weight regain (r = 0.27, NS). CONCLUSIONS: Energy restriction produces a transient hypothyroid-hypometabolic state that normalizes on return to energy-balanced conditions. Failure to establish energy balance after weight loss gives the misleading impression that weight-reduced persons are energy conservative and predisposed to weight regain. Our findings do not provide evidence in support of adaptive metabolic changes as an explanation for the tendency of weight-reduced persons to regain weight.

Aged↗
PubMed1999

Weight cycling, weight gain, and risk of hypertension in women.

To assess prospectively the relation between body mass index, weight gain, repeated intentional weight losses, and the risk of self-reported hypertension, the authors studied 46,224 women who were participants in the Nurses Health Study II, who were free of hypertension in 1993, and who completed questions on intentional weight losses between 1989 and 1993. Women who reported they had intentionally lost > or =20 lbs (9 kg) > or =3 times were classified as severe weight cyclers. Women who had intentionally lost > or =10 lbs (4.5 kg) > or =3 times, but who did not meet the criteria for severe weight cycling, were classified as mild weight cyclers. Between 1993 and 1995, 1,107 incident cases of diagnosed hypertension were reported. Body mass index and weight gain, but not weight cycler status, were independently associated with the development of hypertension. For each 10 lb (4.5 kg) gain in weight between 1989 and 1993, the risk of hypertension increased 20% (odds ratio (OR) = 1.20, 95% confidence interval (CI) 1.15, 1.24). After adjustment for body mass index and weight gain, the risks associated with mild weight cycling (OR = 1.15, 95% CI 1.00, 1.33) and severe weight cycling (OR = 1.13, 95% CI 0.79, 1.61) were small and not significant. Thus, the results of this study offer support for the current weight guidelines and provide further evidence of the health risks associated with excessive weight and weight gain. However, these data do not suggest an independent effect of weight cycling on risk of hypertension.

Adult↗
PubMedDate not supplied

Sexual maturation in underfed weight-matched rats. A test of the "critical body weight" theory of pubertal timing in males.

A popular current theory proposes that the timing of puberty is related to attainment of a critical level of body weight or body fatness. These critical body weight and critical body fat theories have been studied almost exclusively in females. To explore these theories in males, we tested a corollary of these hypotheses: are male rats of the same weight all at the same level of sexual maturation irrespective of prior growth rate? Male rats growing in body weight at five different rates due to various degrees of underfeeding (beginning at weaning) were sacrificed at body weight milestones of 123 and 279 grams. At the first weight milestone, significant (P less than 0.01) inverse correlations were observed among these weight-matched rats between the preceding rate of body weight growth and prostate weight, seminal vesicle weight, testis weight, serum testosterone, and daily sperm production rate, indicating that the underfed animals were more sexually mature. Testis histology also showed that spermatogenic development increased progressively as the prior rate of body weight growth was reduced. These parameters of sexual maturation tended to correlate inversely with body fatness (i.e., leaner animals were more sexually mature) and directly with body length (i.e., longer animals were more sexually mature). By the second body weight milestone, however, the degree of prior underfeeding exerted little effect on those indices of sexual development. We conclude that the degree of sexual maturation in weight-matched animals with varying previous patterns of body weight growth correlates inversely with body fatness and the rate of body weight growth but correlates directly with body length.(ABSTRACT TRUNCATED AT 250 WORDS)

Adipose Tissue↗
PubMed2006

Maternal perceptions of her child's body weight in infancy and early childhood and their relation to body weight status at age 7.

INTRODUCTION: Maternal perception of her child's weight status has been hypothesised to affect a child's weight development. OBJECTIVE: The aim of this analysis was to determine in how far the maternal weight perception of her child's weight at different ages is related to its future body weight status. MATERIALS AND METHODS: Longitudinal data on body weight, height and skinfolds from the Dortmund Nutritional and Anthropometric Longitudinally Designed Study were used to determine the risk of being overweight at age 7. Complete data on anthropometry, maternal weight perception and confounding variables were available for 253 children. RESULTS AND DISCUSSION: Maternal weight perception assessments at age 6 months, 12 months, 2 years and 4 years of age were related to body weight status as well as changes in body mass index standard deviation score (BMI-SDS) and skinfold SDS between age at assessment and age 7. With respect to the risk of being overweight at age 7, no independent effect of maternal perception was found. When changes in anthropometric measures were considered, it could be observed that children whose weight was considered too low gained more weight until age 7, and those who were considered to be too heavy lost more weight as compared to the children whose weight was considered to be just right. Among infants aged 6 months who were above the 85th percentile, maternal misperception appeared to promote an unfavourable weight development. These latter results support the hypothesis that maternal weight perception might affect a child's weight development. CONCLUSION: As our data suggest, this effect might begin to operate already in infancy.

Adolescent↗
PubMed1998

The views of women of above average weight about appropriate weight gain in pregnancy.

OBJECTIVE: To examine the beliefs of women of above average weight about appropriate levels of weight gain in pregnancy. DESIGN: An in-depth qualitative study of 37 women. SETTING: Women recruited from a city hospital, a rural hospital and by community midwives in the south of England. PARTICIPANTS: Women were identified via hospital notes or by community midwives. Over a one-year period all women identified who attained the weight of 90 kg by the 30th week of pregnancy were eligible to participate. The sample comprised 37 women. The sample was varied in terms of age, social class, household composition and number of children. MEASUREMENT: Two in-depth interviews were carried out with each interviewee: during late pregnancy and six weeks following childbirth. FINDINGS: Interviewees were concerned not to weigh more after pregnancy than before. Their perceived ability to control weight gain during pregnancy was varied. In the perceived absence of specific advice from health professionals, they constructed their own views about appropriate levels of weight gain. These were informed by their desire to minimise weight gain and to provide adequate nourishment for the growth and development of their baby. Comments and advice from health professionals were interpreted within the women's own understandings of appropriate levels of weight gain. KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: (1) the desire to return to their pre-pregnancy weight was a strong motivating factor among pregnant women of above average weight, but some women lacked confidence in their ability to control weight gain; (2) the health and well-being of their unborn baby is often a central concern in women's decisions about appropriate weight gain; (3) health professionals need to explore the beliefs of women of above average weight about appropriate weight gain in pregnancy; and (4) written information about weight gain may assist women of above average weight in understanding what might be an appropriate level of weight gain during pregnancy.

Adolescent↗
PubMed2002

Weight-teasing among adolescents: correlations with weight status and disordered eating behaviors.

OBJECTIVES: This study aimed to assess the prevalence of perceived weight-teasing and associations with unhealthy weight-control behaviors and binge eating in a population-based sample of youth. Particular focus was placed on overweight youth, who may be most vulnerable to weight-teasing. METHODS: The study population included 4746 adolescents from St Paul/Minneapolis public schools who completed surveys and anthropometric measurements as part of Project EAT, a population-based study of eating patterns and weight concerns among teens. RESULTS: There were statistically significant associations between perceived weight-teasing and weight status; both overweight and underweight youth reported higher levels of teasing than average weight youth. Very overweight youth (body mass index (BMI) > or = 95th percentile) were most likely to be teased about their weight; 63% of very overweight girls, and 58% of very overweight boys reported being teased by their peers, while weight-teasing by family members was reported by 47% of these girls and 34% of these boys. Youth who were teased about their weight, particularly overweight girls, reported that it bothered them. Perceived weight-teasing was significantly associated with disordered eating behaviors among overweight and non-overweight girls and boys. For example, among overweight youth, 29% of girls and 18% of boys who experienced frequent weight-teasing reported binge-eating as compared to 16% of girls and 7% of boys who were not teased. CONCLUSIONS: Many adolescents, in particular those who are overweight, report being teased about their weight and being bothered by the teasing. Weight-teasing is associated with disordered eating behaviors that may place overweight youth at increased risk for weight gain. Educational interventions and policies are needed to curtail weight-related mistreatment among youth.

Adolescent↗
PubMed2005

Association between early and rapid weight gain and change in weight over one year of olanzapine therapy in patients with schizophrenia and related disorders.

Weight gain is an important issue in the use of atypical antipsychotics, including olanzapine. A retrospective analysis of patterns of weight gain and possible covariates was performed for 1191 patients diagnosed with schizophrenia or schizoaffective disorder who were treated with olanzapine for up to 52 weeks. Patients were dichotomized into 2 main groups according to the percentage of body weight gained during the first 6 weeks of treatment with olanzapine: (1) patients who gained > or =7% of their body weight (Rapid Weight Gain Group [RWG]), and (2) patients who lost weight, gained no weight, or gained <7% of their body weight (Nonrapid Weight Gain Group [NRWG]). Results demonstrated that approximately 15% of the patient population showed rapid increases in weight (RWG group), whereas 85% of patients gained weight more slowly or not at all (NRWG group). Patients in the RWG group gained an average of 4% of their body weight (approximately 4-7 lb) within the first 2 weeks of treatment with olanzapine. Furthermore, patients in the RWG group were younger, had a lower baseline body mass index, were more likely to report an increase in appetite, and showed a more robust clinical response compared with patients in the NRWG group. Over the course of 52 weeks, patients in the RWG group gained significantly more weight and reached a higher plateau for mean weight increase at 38 weeks compared with the mean increase observed for patients in the NRWG group. By measuring the weight of patients during the first few weeks of olanzapine treatment and by assessing changes in appetite, clinicians may be able to identify those patients at risk for substantial weight gain.

Adult↗
PubMed1987

Accuracy of self-reported body weight compared to measured body weight. A population survey.

In 1977, in the evaluation of the prevention programme for cardiovascular diseases, 11,880 persons in Eastern Finland were asked to report their own weight on a questionnaire. Each participant was weighted during the following clinical examination. The data of the self-reported body weight were analysed according to sex, age, measured weight and body-mass index (BMI). The results showed that older people underestimated their weight to a greater extent than did younger people of both sexes. The error between measured and self-reported weight was greater in heavier subjects than in thinner individuals. In both sexes weight estimate error (measured weight minus self-reported weight) correlated more strongly with high BMI than with measured weight. Associations between weight estimate error and other variables were studied using a multiple regression model. Men whose annual family income was low were more likely to underestimate their weight than the men with a high annual income. In general, women reported their weight more correctly than men did. Older women were more likely to report their weight less than younger women, whereas women who visited their doctor frequently or who had higher annual family incomes were more aware of their actual body weight than those who had few doctor's consultations or whose family income was low. In men 5.2% and in women 8.3% of the variation in the weight estimate error was explained by the regression model.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗
PubMed2005

Self-weighing in weight gain prevention and weight loss trials.

BACKGROUND: Although self-monitoring is a central tenet of behavioral approaches to changing health behavior, clinical and public health recommendations for better controlling body weight do not emphasize weight self-monitoring. PURPOSE: The objective was to determine whether more frequent self-weighing exerts a positive influence on weight loss or weight gain prevention. METHODS: This study examined cross-sectional and longitudinal associations between self-weighing frequency and weight in two distinct groups: 1,226 adults who were enrolled in a weight gain prevention trial, and 1,800 adults who were enrolled in a weight loss trial. RESULTS: Although the samples differed significantly in weight and baseline demographic characteristics, the distribution of baseline weighing frequencies did not differ by study. In both groups, more frequent self-weighing at baseline was associated with greater age, lower fat intake, White ethnicity, current nonsmoking status, a greater history of dieting to lose weight, and lower current body mass index. Despite similar weighing instructions, differential patterns of weighing frequency over time were observed: Weight loss dieters increased weighing over time regardless of treatment group (control or intervention), whereas weight gain preventers decreased weighing over time in the control group and increased weighing over time in intervention groups. Most important, higher weighing frequency was associated with greater 24-month weight loss or less weight gain. CONCLUSIONS: Results support the idea that daily weighing is valuable to individuals trying to lose weight or prevent weight gain. Daily self-weighing should be emphasized in clinical and public health messages about weight control. Experimental studies on the effects of weighing frequency in these contexts are recommended.

Adult↗