Increase In Mean Body Mass Index Research Articles

The Body Mass Index of Teen Mothers and their Toddler Children

To evaluate: change in Body Mass Index (BMI) of adolescent mothers (14-19 years of age) from pre-pregnancy to 36 months postpartum; BMI of their children age 2 or older; relationship between maternal BMI and children's BMI. Retrospective medical record abstraction of adolescent mothers attending a medical program in Massachusetts between 2001 and 2005 who had self-reported pre-pregnancy BMI data at first prenatal visit, at least one BMI measure 12 or more months postpartum, and who did not experience a repeat pregnancy (n = 52). Children of adolescent mothers were included if they had received their 2 (n = 41) and/or 3 (n = 28) year physical. Adolescent mothers: overweight increased from 25% pre-pregnancy to 33% at 24-36 months postpartum; obesity more than doubled in the same time period, from 15% to 36%. Those with BMI data available pre-pregnancy and postpartum had an increase in mean BMI from 25 pre-pregnancy to 29 at 24-36 months postpartum (P < 0.001). Two-year-old children: About 5% were at risk for overweight and 12% were overweight. Three-year-old children: About 18% were at risk for overweight and 18% were overweight. When BMI categories of children were compared to BMI categories of their mothers, there was a trend for adolescent mothers with overweight/obesity at 24-36 months postpartum to have 3-year-old children at risk for overweight or overweight (P = 0.092). There was a significant increase in overweight/obesity in this cohort of adolescent mothers and their children followed 36 months postpartum. The long-term sequelae of overweight/obesity indicates a need for effective interventions.

Effect of shift work on body mass index and metabolic parameters

The aim of this cohort study was to investigate the effects of shift work on changes in parameters related to metabolic disturbances. The study population included 1529 male blue-collar workers, aged 19-49 years at baseline, working in a sash and zipper factory in Japan. The participants were divided into four groups according to the work schedule at baseline, the end point being workers doing fixed daytime work in both years (day-day), workers who changed from shift work to fixed daytime work (shift-day), workers who changed from fixed daytime work to shift work (day-shift), and workers doing shift work in both years (shift-shift). The changes in body mass index (BMI), blood pressure, serum cholesterol, and glycosylated hemoglobin A1c over a period of 10 years were compared among the groups by work schedule. The age-adjusted mean increase in BMI was 1.03 kg/m(2) for the day-shift workers, and it was significantly larger than that of the day-day workers and shift-day workers. The shift-shift workers showed a significantly larger increase in BMI than the day-day workers. These tendencies remained after adjustment for age and all other confounding factors, such as BMI, smoking, drinking, and leisure-time physical activity at baseline. The increase in total cholesterol tended to be higher among the shift-shift workers and the day-shift workers, but there were no significant differences. Blood pressure and hemoglobin A1c did not differ among the four groups. Shift work is considered to be a risk factor for excess weight. However, no significant difference in the biomarkers was found between daytime workers and shift workers.

Increasing Obesity Trends in Patients with Sleep-Disordered Breathing Referred to a Sleep Disorders Center

The prevalence of sleep-related breathing disorders (SBD) is high and may be rising because of the increasing prevalence of obesity. We investigated the obesity trends over 9 years in patients referred to a sleep disorders center suspected of having SBD. There were 5163 new patients (3679 men and 1484 women) who were referred to sleep disorders centee for an assessment of SBD from January 1995 to May 2004. During the entire period, the mean body mass index (BMI) at time of referral was 32.2 +/- 0.1 kg/m2 (+/- SEM) (95% confidence interval [CI]:32.0-32.4) in men versus 34.5 +/- 0.2 kg/m2 (95% CI: 34.1-35.0) in women (p < .0001). Mean age and BMI were calculated for each 3-month period starting in January 1995. Regression analysis using a generalized linear model was performed to determine the relationship between BMI and the time when the patients were referred, for both sexes. The annual increase in mean BMI was 0.17 (95% CI: 0.10-0.24) for men (p < .0001) and 0.34 (95% CI: 0.13-0.54) for women (p = .002). There was no relationship between age at referral and BMI in either sex. There was a significant positive correlation between year of referral and BMI for both sexes: p < .0001, r2 = 0.40 for men, p = .002, r2 = 0.24 for women. The average female patient was 3.4 BMI units heavier over the 9-year period, while the average male patient was 1.7 BMI units heavier. The BMI in patients referred to a sleep disorders center for an assessment of SBD has increased significantly over 9 years. Recent obesity trends may contribute to the increase in the number of patients with SBD.

Serum TSH is positively associated with BMI

To investigate whether there is an association between serum thyroid-stimulating hormone (TSH) within the normal range and body mass index (BMI). The study was performed in 6164 subjects (2813 males) who attended the fifth Tromsø study in 2001, and in 1867 subjects (873 males) that attended both the fourth Tromsø study in 1994/1995 as well as the fifth Tromsø study. Height, weight, and serum TSH were measured in all subjects, and smoking status was recorded. Smokers and nonsmokers were analyzed separately. In the fifth Tromsø study, serum TSH was positively and significantly associated with BMI in the nonsmokers. Within the normal TSH range (defined as the 2.5-97.5 percentile), nonsmoking males in the highest TSH quartile had a mean BMI 0.4 kg/m(2) higher compared to those in the lower quartile, whereas the difference for nonsmoking women was 1.4 kg/m(2). Similarly, in nonsmokers in the longitudinal study, there was a significant and positive association between delta serum TSH (serum TSH in 2001 minus serum TSH in 1994) and delta BMI in those with serum TSH within the normal range both in 1994 and 2001. In these subjects, the quartile with the highest delta serum TSH had a mean increase in BMI from 1994 to 2001 that was 0.3 kg/m(2) higher compared to those in the quartile with the lowest delta serum TSH. For the smokers, relations between serum TSH and BMI were not statistically significant. In nonsmokers there is a positive association between serum TSH within the normal range and BMI.

Mortality attributable to higher-than-optimal body mass index in New Zealand

To estimate the burden of mortality in New Zealand due to higher-than-optimal body mass index (BMI) in 1997, as well as mortality that could be avoided in 2011 with feasible changes in mean population BMI. New Zealand. Comparative risk assessment methodology was used to estimate the attributable and avoidable mortality due to high BMI. Outcomes assessed were ischaemic heart disease (IHD), ischaemic stroke, type 2 diabetes mellitus, colorectal cancer and postmenopausal breast cancer. In 1997, 3154 deaths (11% of all deaths) in New Zealand were due to higher-than-optimal BMI (>21 kg m(-2)). This amounted to 83% of diabetes deaths, 24% of IHD deaths, 15% of ischaemic stroke deaths and 4% of all cancer deaths. If the projected increase in mean population BMI by 2011 was limited to 1.0 kg m(-2) rather than 1.3 kg m(-2), approximately 385 deaths could be prevented annually, mainly from diabetes. These results quantify the importance of higher-than-optimal BMI as a major modifiable cause of premature death in New Zealand. Intervention policies that would have only modest effects on slowing the rate of increase in mean population BMI by 2011 could still prevent hundreds of deaths annually.

Ten-year trends for fatness in Northern Irish adolescents: the Young Hearts Projects—repeat cross-sectional study

To examine secular trends in measures of fatness over a 10-y period (the 1990s) in Northern Irish schoolchildren. Repeat cross-sectional surveys. In total, 12- and 15-y-old children randomly selected from post-primary schools. A total of 1015 children studied between 1989 and 1990, and 2017 studied between 1999 and 2001. The same study methods were applied in both surveys. Body mass index (BMI) was calculated from height and weight, and percentage body fat (%BF) was derived from skinfold measurements at four sites. Dietary intake was assessed using a diet history method and habitual physical activity (PA) was estimated from a self-report questionnaire. Increases were seen in both height and weight in all age-sex groups. The overall prevalence of overweight/obesity increased from 15.0 to 19.6%, but 12-y-old girls contributed most to this increase (15.9-26.3%), with a modest increase observed also in 15-y-old boys. Increases in mean BMI (19.2-20.3 kg/m2) and mean %BF (25.8-27.1%) were seen in 12-y-old girls, with no significant changes in any of the other subgroups. Mean energy intake increased in girls but not in boys, while mean PA score decreased in 12-y-old girls, but was unchanged in the other three groups. All age-sex groups showed substantial increases in the sugar intake while fat intake increased in girls and decreased in boys. Increases in indices of fatness were seen among school-age children in Northern Ireland during the 1990s. Trends differed between age-sex groups with the largest changes seen in 12-y-old girls. It remains to be seen whether the large increase in overweight/obesity in this group tracks into adulthood, with consequences for chronic disease incidence in women.

Weight Gain Trends Across Sociodemographic Groups in the United States

To better understand health disparities, we compared US weight gain trends across sociodemographic groups between 1986 and 2002. We analyzed mean and 80th-percentile body mass index (BMI), calculated from self-reported weight and height, for subpopulations defined by education, relative income, race/ethnicity, and gender. Data were from the Behavioral Risk Factor Surveillance System, a random-digit-dialed telephone survey (total sample=1.88 million adult respondents). Each sociodemographic group experienced generally similar weight gains. We found no statistically significant difference in increase in mean BMI by educational attainment, except that individuals with a college degree gained less weight than did others. The lowest-income group gained as much weight on average as the highest-income group, but lowest-income heavier individuals (80th percentile of BMI) gained weight faster than highest-income heavier individuals. We found no differences across racial/ethnic groups except that non-Hispanic Blacks gained more weight than other groups. Women gained more weight than men. We found fewer differences, especially by relative income and education, in weight gain across subpopulations than we had expected. Women and non-Hispanic Blacks gained weight faster than other groups.

Effects of marital transitions on changes in dietary and other health behaviours in US women.

Previous studies have indicated that married people have lower mortality and are generally healthier. Most previous studies have been cross-sectional and few studies investigated the effect of marital transition on health. With a prospective design and repeated measures of variables, we sought to analyse the temporal relation between marital transition and change in health behaviours. We followed up 80 944 women aged 46-71 for 4 years (1992-1996). All information was self-reported. We used multivariate-adjusted linear and logistic regression models to examine the impact of changes in marital status on concomitant changes in health behaviours, controlling for potential confounders and baseline health behaviours. Compared with women who remained married, women who divorced/widowed had body mass index (BMI) decreases of 0.65 kg/m(2) (P < 0.001) and 0.44 kg/m(2) (P < 0.001), respectively. Compared with women who remained unmarried, women who remarried had an increase in mean BMI of 0.41 kg/m(2) (P < 0.001). Women who divorced increased physical activity by 1.23 metabolic equivalent hours (MET)/week (P = 0.07) compared with women who stayed married. Among non-smokers and past smokers, women who divorced/widowed had more than a twofold increased risk of relapsing/starting smoking (OR = 2.47, 95% CI: 1.56, 3.89; OR = 2.08, 95% CI: 1.56, 2.76, respectively) than women who stayed married. Divorced and widowed women had decreased vegetable intake relative to women who stayed married (-2.93 servings/week [P < 0.001] and -1.67 servings/week [P < 0.001], respectively). These patterns suggest both health-damaging and health-promoting changes accompanying divorce and widowhood, and generally health-promoting changes following remarriage.

Metabolic effects of pioglitazone and rosiglitazone in patients with diabetes and metabolic syndrome treated with glimepiride: A twelve-month, multicenter, double-blind, randomized, controlled, parallel-group trial

Background: Glimepiride is approved as monotherapy and in combination with metformin or with insulin, whereas the combination of glimepiride with other antihyperglycemic drugs is under investigation. Objective: The aim of this study was to assess the differential effect on glucose and lipid variables and tolerability of the combination of glimepiride plus pioglitazone or rosiglitazone in patients with type 2 diabetes mellitus (DM) and metabolic syndrome. Methods: This 12-month, multicenter, double-blind, randomized, controlled, parallel-group trial was conducted at 3 study sites in Italy. We assessed patients with type 2 DM (duration, ≥6 months) and with metabolic syndrome. All patients were required to have poor glycemic control with, or to have experienced ≥1 adverse effect (AE) with, diet and oral hypoglycemic agents such as sulfonylureas or metformin, both given up to the maximum tolerated dose. All patients received a fixed oral dose of glimepiride, 4 mg/d divided into 2 doses, self-administered for 12 months. Patients also were randomized to receive oral pioglitazone (15 mg once daily) (G + P group) or oral rosiglitazone (4 mg once daily) (G + R group), self-administered for 12 months. We assessed body mass index (BMI), glycemic control (glycosylated hemoglobin [HbA 1c], fasting and postprandial plasma glucose and insulin levels [FPG, PPG, FPI, and PPI, respectively], and homeostasis model assessment index), lipid profile (total cholesterol [TC], low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], and triglycerides [TG]), and lipoprotein variables (apolipoprotein [apo] A-I and apo B) at baseline and at 3, 6, 9, and 12 months of treatment. Treatment tolerability was assessed at each study visit using a thorough interview of patients, and comparisons of clinical and laboratory values to baseline levels. Results: A total of 91 patients were enrolled in the study; 87 patients completed it (G + P group: 24 women, 21 men; mean [SD] age, 53 [6] years; G + R group: 20 women, 22 men; mean [SD] age, 54 [5] years). Patients in the G + P and G + R groups experienced significant increases in mean BMI at 12 months compared with baseline (4.92% and 6.17%, respectively; both, P < 0.05). The combination of glimepiride with pioglitazone or rosiglitazone significantly improved glycemic control in the study patients. At 12 months, we observed a 1.3% improvement in mean values for plasma HbA 1c concentration ( P < 0.01) 19.3% in FPG ( P < 0.01), 16.3% in PPG ( P < 0.01), 42.4% in FPI ( P < 0.05), and 23.3% in PPI ( P < 0.05); no significant differences were found between treatment groups. Although the G + P group experienced a significant improvement at 12 months in almost all vari-

The influence of childhood weight and socioeconomic status on change in adult body mass index in a British national birth cohort.

To investigate the effect of childhood weight and childhood socioeconomic status on the pattern of change in body mass index (BMI) between 20 and 43 years. A British birth cohort study where the survey members have been followed up regularly since their birth in 1946, with the most recent of 19 follow-ups when the cohort were aged 43 years. BMI was available at 20, 26, 36 and 43 years of age and thus multilevel models for repeated outcome measures were used to model the patterns of change in BMI. The rate of increase in BMI with age was non-linear, with the rate of increase in mean BMI accelerating with increasing age at different rates for men and women. The mean BMI for men was higher than that for women at all ages. Childhood manual social class, defined in terms of father's occupation, and high relative weight at 14 years of age were associated with higher mean BMI across adult life, and these effects increased with age. The effects of childhood relative weight and social class were independent of educational attainment and adult social class. The study provides evidence of a long-term effect of childhood social and biological circumstances on BMI. The pathways underlying these relationships may be social or biological, but are not yet fully understood.

Predicting under- and overnutrition among women of reproductive age: a population-based study in central Java, Indonesia.

To evaluate changes over 1 year in weight and body mass index (BMI) among a population-based sample of non-pregnant women in Indonesia and to identify risk factors for developing under- and overnutrition. Cross-sectional studies in 1996 and 1997 in the same population. Purworejo District, central Java, Indonesia. Non-pregnant women (n = 4132) aged 15-49 years of age who participated in both 1996 and 1997. Based on BMI, women were classified as having chronic energy deficiency (CED), and as being either of normal weight or obese. The mean height of the women was below the fifth percentile of international standards. In 1996, 16.2% had CED, 72.2% were normal and 11.6% were obese. In 1997, the corresponding figures were 14.4%, 71.2% and 14.3%, respectively, revealing a significant mean increase in weight and BMI. Among women classified as normal in 1996, 3.0% developed CED in 1997. Significant risk factors for developing CED were experiences of child deaths and non-use of contraceptives. Among women classified as normal in 1996, 5.3% developed obesity in 1997. Here, significant risk factors included most indicators of wealth as well as occupation. The results should be important for future efforts to prevent CED and obesity in the general population; conditions which are both associated with health risks.

Change in body mass index in Australian primary school children, 1985-1997.

Childhood obesity is an important, potentially modifiable risk factor for a range of concurrent and later morbidities. Despite concerns about recent increases in children's body mass index (BMI), supporting data in Australia (as elsewhere) are scant. To seek anthropometric evidence of a recent secular increase in BMI in primary school children in Victoria, Australia. Data from two cross-sectional population-based surveys of primary school children (the Victorian subsample of the 1985 Australian Health and Fitness Survey and the 1997 Health of Young Victorians Study) were compared. Similar stratified random sampling and standardized measurement methods were employed in the two studies. Subjects were all children aged 7-12 y with complete height and weight data. Body mass index (BMI (weight/height2)) was used as the index of relative adiposity. Non-parametric and parametric methods were used to examine the pattern and magnitude of change in BMI over the 12 y interval. Data for 1421 children (50% male, 68% response) from the 1985 survey and 2277 children (51% male, 75% response) from the 1997 survey were analysed. At all ages, mean height and median weight were greater in 1997 than 1985 for both boys and girls. Median BMI was significantly higher in the 1997 sample for all but 12 y-old girls and for boys aged 7, 8 and 10 y (Mann-Whitney U test). The magnitude of the overall increase in BMI was estimated using analysis of covariance for log-transformed BMI adjusted for exact age, which indicated an increase of 1.03 kg/m2 for boys and 1.04 kg/m2 for girls (both P<0. 001). Plots of BMI against BMI percentile clearly showed a pattern of higher BMI at any given percentile, especially at the upper percentiles, for all ages and both genders. Primary school children in Victoria have become more obese over the last decade. Increases in BMI are most marked at the heavier end of the distribution. Lesser increases in median and mean BMI (confirmed by both parametric and non-parametric statistical models) may also have major public health implications.

Trends in Body Mass Index in Developing Countries

The purpose of this study was to examine the extent to which adult body mass index (BMI) has changed in developing countries over the past several decades. The analysis is based on a compilation and analysis of mean BMI in 1,432 published samples from developing countries measured between 1957 and 1994. A hierarchical multiple-regression model is applied to these data, controlling for country and study as random covariates and modelling age, sex, socio-economic status, and year as fixed effects. The results reveal a statistically significant increase in mean BMI between 1957 and 1994 in all major regions of the developing world. The size of the increase was 1.4 kg/m2over the 37-year period, with a 95% confidence interval of 0.4 to 2.4 kg/m2. Mean BMI appears to have increased in all major regions of the developing world, although the size of the increase varies across regions. Using assumptions about the statistical distribution of BMI within populations and cut-off points recommended by the World Health Organization, the analysis suggests that the increase in mean BMI may have resulted in a slight decrease in the prevalence of underweight (BMI&lt;18.5 kg/m2) but is unlikely to have produced an increase in obesity (BMI&gt;30 kg/m2) in most regions. By contrast, the use of lower cut-off points to define obesity, as is done in many individual studies, would suggest that obesity has increased in developing countries. These results highlight the importance of using standardized definitions for underweight and obesity among adults, the need to assess and consider the prevalence of both conditions simultaneously during planning and policy development, and the need to identify policy instruments appropriate to the nutritional profile within a country.

Body mass index, waist circumference, waist-hip ratio, and glucose intolerance in Chinese and Europid adults in Newcastle, UK.

OBJECTIVE: To compare the prevalence of glucose intolerance (impaired glucose tolerance and diabetes), and its relationship to body mass index (BMI) and waist-hip ratio in Chinese and Europid adults. DESIGN:...

Long-time Follow-up after UPPP for Obstructive Sleep Apnea Syndrome: Results of Sleep Apnea Recordings and Subjective Evaluation 6 Months and 2 Years after Surgery

Fifty unselected consecutive patients with obstructive sleep apnea syndrome (OSAS) underwent uvulopalatopharyngoplasty (UPPP). The diagnosis was based on the patient's history and recording of respiration movements (Static Charge Sensitive Bed. SCSB) and oximetry, alone or combined with polysomnography. Renewed SCSB oximetry recordings were used to evaluate the success of the treatment. Six months postoperatively 40% of the patients were classified as non-responders, i.e. their oxygen desaturation indices (ODI) were reduced by less than 50% or were still above 20. The mean body mass index (BMI) was significantly higher in the non-responder group. A second recording with complete data was obtained in 45 patients after an average of 21 months. It was found that 9 patients who had been responders in the first postoperative recording had become non-responders. Only 18 of the patients with complete data could be verified as responders after 2 years. The patients who relapsed showed a significant increase in mean BMI between the first and second postoperative recordings compared to the patients who remained responders. There were no significant differences between responders and non-responders concerning age or preoperative severity of OSAS expressed as ODI, nadir SaO2 and percentage of obstructive periodic breathing. Of the non-responders, 47% in the first postoperative recording and 52% in the second reported complete recovery from excessive daytime sleepiness. This subjective improvement was not correlated to the objective results. The conclusions of this study are thus that one postoperative recording is not enough to estimate the outcome of UPPP and that statements of the patient's subjective recovery alone must not be used for this purpose.

Secular trends in body mass index and skinfold thickness with socioeconomic factors in young adult men

Secular trends in the relationship of body mass index (BMI) and skinfold thickness to educational and income levels were examined for white and black men aged 18-34 y over the period 1960-80 with data from three successive national surveys: NHES Cycle I, NHANES I, and NHANES II. Statistical models were fitted to assess the variability in mean BMI over time within levels of education or income. There were few secular changes in mean BMI. In both white and black men a secular change from a slight positive association between mean BMI and education to a negative association was characterized chiefly by an increase in mean BMI at the lowest educational level. A slight positive association between income level and mean BMI persisted almost unchanged over this period. Mean BMI was similar for black and white men. These findings are compared and contrasted with those from a similar study for young women.

Secular trends in body mass index and skinfold thickness with socioeconomic factors in young adult women

Secular trends in the relationship of body mass index (BMI) and skinfold thickness to educational and income levels were examined for white and black women aged 18–34 y over the period 1960–80 with data from three successive national surveys: NHES Cycle I, NHANES I, and NHANES II. Statistical models were fitted to assess the variability in mean BMI over time within levels of education or income. Mean BMI and skinfold thickness were negatively associated with both education and income. Over the 20-y period mean BMI increased for both white and black women at all levels of income and education. Because the increase in mean BMI was greater at lower educational levels, the differentiation of BMI by educational level increased over time, yielding a stronger negative association. In contrast differentiation of BMI by income category decreased over time. Black-white differences in mean BMI at comparable educational and income levels persisted over this period.