Age‐ and Gender‐specific BMI in Terms of the Lowest Mortality in Japanese General Population

Objective: The primary purposes of our study were to establish age‐ and gender‐specific BMIs in terms of lowest mortality (risk nadir BMIs) for the Japanese population, and to then compare those to (i) BMIs for whites as determined by similar studies and to (ii) the official BMI guidelines. Methods and Procedures: A total of 32,060 men and 61,916 women aged 40–79 years underwent health check‐ups in Ibaraki prefecture, Japan, in 1993 and were followed through 2003. To determine the age‐ and gender‐specific risk nadir BMIs, coefficients and the lowest point from a quadratic model with transformed BMI were calculated by a Cox proportional hazard model. This included the quadratic term of 1/BMI and adjusted values (age, alcohol intake, and smoking status). Results: For both age and both gender categories, the relationship between all‐cause mortality risk and BMI categories are illustrated as U‐shaped curves. The risk nadir BMIs for men in the age groups of 40–59 and 60–79 years were 23.4 and 25.3 kg/m², respectively. Similarly, in women, the risk nadir BMIs were 21.6 and 23.4 kg/m², respectively. Discussion: Among the general Japanese population, the risk nadir BMI for the age group of 60–79 years was higher compared to the age group of 40–59 years, which was similar to the study for whites, and the age‐dependent risk nadir BMI differed from the official guidelines criteria. Our findings underscore the importance of weight control following appropriate indicators of body weight according to age.     

Racial/Ethnic Differences in Early-Life Mortality in the United States

U.S. early-life (ages 1–24) deaths are tragic, far too common, and largely preventable. Yet demographers have focused scant attention on U.S. early-life mortality patterns, particularly as they vary across racial and ethnic groups. We employed the restricted-use 1999–2011 National Health Interview Survey–Linked Mortality Files and hazard models to examine racial/ethnic differences in early-life mortality. Our results reveal that these disparities are large, strongly related to differences in parental socioeconomic status, and expressed through different causes of death. Compared to non-Hispanic whites, non-Hispanic blacks experience 60 percent and Mexican Americans 32 percent higher risk of death over the follow-up period, with demographic controls. Our finding that Mexican Americans experience higher early-life mortality risk than non-Hispanic whites differs from much of the literature on adult mortality. We also show that these racial/ethnic differences attenuate with controls for family structure and especially with measures of socioeconomic status. For example, higher mortality risk among Mexican Americans than among non-Hispanic whites is no longer significant once we controlled for mother’s education or family income. Our results strongly suggest that eliminating socioeconomic gaps across groups is the key to enhanced survival for children and adolescents in racial/ethnic minority groups.     

55岁以下急性冠状动脉综合征的影响因素分析

目的:探究55岁以下急性冠状动脉综合征(Acute coronary syndrome,ACS)患者的影响因素。方法:选择2010年3月至2013年3月于我院就诊的180例55岁以下ACS患者为研究对象,按照其性别将其区分为男性组(101例)和女性组(79例)。收集和比较两组患者一般临床资料,血清血红蛋白(Hemoglobin,HGB)、甘油三酯(Triglyceride,TG)、胆固醇(Cholesterol,TC)、低密度脂蛋白胆固醇(Low density lipoprotein cholesterol,LDL-C)、高密度脂蛋白胆固醇(High density lipoprotein cholesterol,HDL-C)、血尿酸水平。对两组患者进行5年随访,对比两组患者心血管不良事件(Major adverse cardiovas-cular events,MACE)的发生率、死亡率及再发病率。结果:(1)女性组平均发病年龄高于男性组,女性组伴发高血压、糖尿病、脑卒中比率高于男性组,男性组吸烟史比率高于女性组(P<0.05),两组BMI、心血管病家族史对比差异无统计学意义(P>0.05);(2)女性组TC、TG、LDL-C、HDL-C水平均高于男性组(P<0.05),女性组血尿酸水平低于男性组(P<0.05);(3)对比5年预后,男性组MACE发生率为9.90%(10/101),女性组MACE发生率为11.39%(9/79),男性组死亡率为1.98%(2/101),女性组为1.27%(1/79),再发病率男性组为5.94%(6/101),女性组为6.33%(5/79),两组上述指标对比差异均无统计学意义(P>0.05)。结论:女性ACS患者发病年龄高于男性患者,糖尿病、高血压等病对女性患者影响更为明显,而吸烟则对男性影响更大,女性ACS患者血脂、血尿酸等指标异常程度甚于男性患者,但女性与男性患者远期预后相当。     

The Body Mass Index-Mortality Relationship in White and African American Women

Objective : To examine the association of body mass index to all-cause and cardiovascular disease (CVD) mortality in white and African American women. Research methods and procedures : Women who were members of the American Cancer Society Prevention Study I were examined in 1959 to 1960 and then followed 12 years for vital status. Data for this analysis were from 8,142 black and 100,000 white women. Body mass index (BMI) was calculated from reported height and weight. Associations were examined using Cox proportional hazards modeling with some analyses stratified by smoking (current or never) and educational status (less than complete high school or high school graduate). Results : There was a significant interaction between ethnicity and BMI for both all-cause (p<0.05) and CVD mortality (p<<0.001). BMI (as a continuous variable) was associated with all-dause mortality in white women in all four groups defined by smoking and education. In black women with less than a high school education, there were no significant associations between BMI mortality. For high school-educated black women, there was a significant association between BMI and all-cause mortality. Among never smoking women with at least a high school education, models using the lowest BMI as the reference indicated a 40% higher risk of all-cause mortality at a BMI of 35.9 in black women vs. 27.3 in white women. Discussion : The impact of BMI on mortality was modified by educational level in black women; however, BMI was a less potent risk factor in black women than in white women in the same category of educational status.     

Educational differences in obesity in the United States: a closer look at the trends

Both body weight and educational attainment have risen in the United States. Empirical evidence regarding educational differences in obesity (BMI ≥30) is inconsistent. According to some widely cited claims, these differences have declined since the 1970s, and the most educated have experienced the greatest gain in obesity. Prior research was limited in grouping college graduates with nongraduates, combining men and women in the same analysis, and using self-reported rather than measured anthropometric information. Using the National Health and Nutrition Examination Surveys (NHANES), we address these issues and examine changing educational differences in obesity from 1971-1980 to 1999-2006 for non-Hispanic whites and blacks in two separate age groups (25-44 vs. 45-64 years). We find that (i) obesity differentials by education have remained largely stable, (ii) compared with college graduates, less educated whites and younger black women continue to be more likely to be obese, (iii) but the differentials are larger for women than men, and weak or nonexistent among black men and older black women. There are exceptions to the overall trend. The obesity gap has widened between the two groups of college-educated younger women, but disappeared between the least and most educated younger white men. Thus, the increase in obesity was similar for most educational groups, but significantly greater for younger women with some college and smaller for younger white men without a high-school degree. Lumping together the two distinct college groups has biased previous estimates of educational differences in obesity.     

A Pooled Analysis of Body Mass Index and Mortality among African Americans

Pooled analyses among whites and East Asians have demonstrated positive associations between all-cause mortality and body mass index (BMI), but studies of African Americans have yielded less consistent results. We examined the association between BMI and all-cause mortality in a sample of African Americans pooled from seven prospective cohort studies: NIH-AARP, 1995–2009; Adventist Health Study 2, 2002–2008; Black Women''s Health Study, 1995–2009; Cancer Prevention Study II, 1982–2008; Multiethnic Cohort Study, 1993–2007; Prostate, Lung, Colorectal and Ovarian Screening Trial, 1993–2009; Southern Community Cohort Study, 2002–2009. 239,526 African Americans (including 100,175 never smokers without baseline heart disease, stroke, or cancer), age 30–104 (mean 52) and 71% female, were followed up to 26.5 years (mean 11.7). Hazard ratios (HR) and 95% confidence intervals (CI) for mortality were derived from multivariate Cox proportional hazards models. Among healthy, never smokers (11,386 deaths), HRs (CI) for BMI 25–27.4, 27.5–29.9, 30–34.9, 35–39.9, 40–49.9, and 50–60 kg/m² were 1.02 (0.92–1.12), 1.06 (0.95–1.18), 1.32 (1.18–1.47), 1.54 (1.29–1.83), 1.93 (1.46–2.56), and 1.93 (0.80–4.69), respectively among men and 1.06 (0.99–1.15), 1.15 (1.06–1.25), 1.24 (1.15–1.34), 1.58 (1.43–1.74), 1.80 (1.60–2.02), and 2.31 (1.74–3.07) respectively among women (reference category 22.5–24.9). HRs were highest among those with the highest educational attainment, longest follow-up, and for cardiovascular disease mortality. Obesity was associated with a higher risk of mortality in African Americans, similar to that observed in pooled analyses of whites and East Asians. This study provides compelling evidence to support public health efforts to prevent excess weight gain and obesity in African Americans.     

Geographic and racial variation in premature mortality in the U.S.: analyzing the disparities

Life expectancy at birth, estimated from United States period life tables, has been shown to vary systematically and widely by region and race. We use the same tables to estimate the probability of survival from birth to age 70 (S(70)), a measure of mortality more sensitive to disparities and more reliably calculated for small populations, to describe the variation and identify its sources in greater detail to assess the patterns of this variation. Examination of the unadjusted probability of S(70) for each US county with a sufficient population of whites and blacks reveals large geographic differences for each race-sex group. For example, white males born in the ten percent healthiest counties have a 77 percent probability of survival to age 70, but only a 61 percent chance if born in the ten percent least healthy counties. Similar geographical disparities face white women and blacks of each sex. Moreover, within each county, large differences in S(70) prevail between blacks and whites, on average 17 percentage points for men and 12 percentage points for women. In linear regressions for each race-sex group, nearly all of the geographic variation is accounted for by a common set of 22 socio-economic and environmental variables, selected for previously suspected impact on mortality; R(2) ranges from 0.86 for white males to 0.72 for black females. Analysis of black-white survival chances within each county reveals that the same variables account for most of the race gap in S(70) as well. When actual white male values for each explanatory variable are substituted for black in the black male prediction equation to assess the role explanatory variables play in the black-white survival difference, residual black-white differences at the county level shrink markedly to a mean of -2.4% (+/-2.4); for women the mean difference is -3.7% (+/-2.3).     

Evaluating indirect genetic effects of siblings using singletons

Estimating effects of parental and sibling genotypes (indirect genetic effects) can provide insight into how the family environment influences phenotypic variation. There is growing molecular genetic evidence for effects of parental phenotypes on their offspring (e.g. parental educational attainment), but the extent to which siblings affect each other is currently unclear. Here we used data from samples of unrelated individuals, without (singletons) and with biological full-siblings (non-singletons), to investigate and estimate sibling effects. Indirect genetic effects of siblings increase (or decrease) the covariance between genetic variation and a phenotype. It follows that differences in genetic association estimates between singletons and non-singletons could indicate indirect genetic effects of siblings if there is no heterogeneity in other sources of genetic association between singletons and non-singletons. We used UK Biobank data to estimate polygenic score (PGS) associations for height, BMI and educational attainment in self-reported singletons (N = 50,143) and non-singletons (N = 328,549). The educational attainment PGS association estimate was 12% larger (95% C.I. 3%, 21%) in the non-singleton sample than in the singleton sample, but the height and BMI PGS associations were consistent. Birth order data suggested that the difference in educational attainment PGS associations was driven by individuals with older siblings rather than firstborns. The relationship between number of siblings and educational attainment PGS associations was non-linear; PGS associations were 24% smaller in individuals with 6 or more siblings compared to the rest of the sample (95% C.I. 11%, 38%). We estimate that a 1 SD increase in sibling educational attainment PGS corresponds to a 0.025 year increase in the index individual’s years in schooling (95% C.I. 0.013, 0.036). Our results suggest that older siblings may influence the educational attainment of younger siblings, adding to the growing evidence that effects of the environment on phenotypic variation partially reflect social effects of germline genetic variation in relatives.     

Prospective Study of BMI and the Risk of Pulmonary Embolism in Women

Pulmonary embolism (PE) is common and associated with significant morbidity and mortality. An association between obesity and PE has been suggested, but the nature of the association has not been well defined. We performed a prospective cohort study of 87,226 women in the Nurses' Health Study (1984–2002) to define the association between BMI and the risk of incident PE. Primary exposure was BMI (<22.5, 22.5–24.9, 25.0–27.4, 27.5–29.9, 30.0–34.9, and ≥35.0 kg/m²). Primary outcome was idiopathic PE (medical record confirmed cases of PE not associated with prior surgery, trauma, or malignancy). Secondary analysis of nonidiopathic PE was also performed. Multivariable Cox proportional hazards models were controlled for age, physical activity, caloric intake, smoking, pack‐years, race, spouse's educational attainment, parity, menopause, nonaspirin nonsteroidal anti‐inflammatory drugs, warfarin, multivitamin supplements, hypertension, coronary heart disease, and rheumatological disease. There were 157 incident idiopathic PE and 338 nonidiopathic PE. There was a strong positive association between BMI, the risk of idiopathic PE (relative risk (RR) = 1.08 (95% confidence interval (CI), 1.06–1.10) per 1 kg/m² increase in BMI, P < 0.001) and nonidiopathic PE (RR = 1.08 (95% CI, 1.07–1.10), P < 0.001). The association was linear, and apparent even with modest increases in BMI (22.5–25 kg/m²). The risk increased nearly sixfold among subjects with BMI ≥35 kg/m², and was present in multiple subgroups. Increasing BMI has a strong, linear association with the development of PE in women. Clinicians should consider BMI when assessing the risk of PE in their patients.     

Arachidonic-acid-induced platelet aggregation is increased in male but not in female smokers

Arachidonic-acid-induced platelet aggregation was studied in 40 healthy drug-free subjects aged 18–43 years. Aggregation was elicited by lower concentrations of arachidonic acid in smoking men (n=10) than in non-smoking men (n=10)(p<0.05). No significant difference was found between smoking and non-smoking females. Adenosine-diphosphate-induced platelet aggregation was not increased in smokers. There was no difference between smokers and non-smokers with respect to mean platelet volume and count within each sex. Females and males differed regarding platelet count in whole blood and platelet sensitivity to arachidonic acid; both differences were secondary to the difference in hematocrit.The parallelism between an increased tendency to aggregation after arachidonic acid stimulation and an increased rate of myocardial infarction in male smokers, and the absence of both these phenomena in female smokers, might be of pathophysiological significance.     

Dynamics of human populations

This study expands on earlier findings of racial/ethnic and education–allostatic load associations by assessing whether racial/ethnic differences in allostatic load persist across all levels of educational attainment. This study used data from four recent waves of the National Health and Nutrition Survey (NHANES). Results from this study suggest that allostatic load differs significantly by race/ethnicity and educational attainment overall, but that the race/ethnicity association is not consistent across education level. Analysis of interactions and education-stratified models suggest that allostatic load levels do not differ by race/ethnicity for individuals with low education; rather, the largest allostatic load differentials for Mexican Americans (p < .01) and non-Hispanic blacks (p < .001) are observed for individuals with a college degree or more. These findings add to the growing evidence that differences in socioeconomic opportunities by race/ethnicity are likely a consequence of differential returns to education, which contribute to higher stress burdens among minorities compared to non-Hispanic whites.     

Disability life expectancy for the elderly, city of Sao Paulo, Brazil, 2000: gender and educational differences

There is evidence that 'health life expectancy' (expected number of years to be lived in health) differs by socioeconomic status. Time spent in health or disability plays a critical role in the use of health care services. The objective of this study was to estimate 'disability life expectancy' by age, gender and education attainment for the elderly of the city of S?o Paulo, Brazil, in the year 2000. Data came from the SABE database, population censuses and mortality statistics (SEADE Foundation). Life expectancy with disability was calculated using Sullivan's method on the basis of the current probability of death and prevalence of disability by educational level. The prevalence of disability increased with age, for both sexes and both levels of educational attainment studied. Men showed a lower prevalence of disability, in general, and persons with lower educational attainment showed a higher prevalence of disability. Regarding life expectancy, women could expect to live longer than men, with and without disability. For both sexes, the percentage of life expectancy lived with disability decreased with increasing educational attainment. With increasing educational attainment, the sex differences in the percentage of remaining years to be lived with disability increased for most ages. Finally, the percentage of remaining years to be lived with disability increased with age for males and females, except for males with high educational attainment between the ages 70-75 and 75-80. The results may serve as a guide for public policies in the country, since health problems faced by older persons, such as disability, are the result of a number of past experiences during their life-times, such as health care, housing conditions, hygiene practices and education. Education influences health behaviours and is related, to some extent, to all these factors. Therefore, improvements in education for the disadvantaged may improve health.     

School level contextual factors are associated with the weight status of adolescent males and females

Objective: To determine whether school context influences the BMI of adolescent males and females. Methods and Procedures: Our sample was 17,007 adolescents (aged 12–19) from the National Longitudinal Study of Adolescent Health (Add Health). We used gender‐stratified multilevel modeling to examine the contribution of schools to the overall variance in adolescent BMIs, calculated from self‐reported weight and height. We then examined the associations of individual attributes with BMI after controlling for the average BMI of the school and the association of two school‐level variables with BMI. Results: Participants attended schools that were segregated by race/ethnicity and socioeconomic status (SES). In females, when controlling only for individual‐level attributes, individual household income was inversely associated (β = ?0.043, P = 0.01) while Hispanic (β = 0.89, P < 0.001) and black (β = 1.61, P < 0.001) race/ethnicity were positively associated with BMI. In males, Hispanic (β = 0.67, P < 0.001) race/ethnicity was positively associated with BMI; there was no difference in the BMIs of blacks compared with whites (β = 0.24, P = 0.085). After controlling for the school racial/ethnic makeup and the school level median household income, the relationship between individual race/ethnicity and BMI was attenuated in both male and female adolescents. Higher school level median household income was associated with lower individual BMIs in adolescent girls (γ = ?0.37, P < 0.001) and boys (γ = ?0.29, P < 0.001) suggesting a contextual effect of the school. Discussion: Male and female adolescents attending schools with higher median household incomes have on average lower BMIs. Resources available to or cultural norms within schools may constitute critical mechanisms through which schools impact the BMI of their students.     

BMI percentiles and body image discrepancy in black and white adolescents

The purpose of this study was to investigate the relationship between body image discrepancy (BID) and weight status as measured by BMI percentiles (BMI%) among adolescents. A cross-sectional survey was conducted among 265 adolescents at an urban clinic (females: 116 blacks and 63 whites; males: 62 blacks and 24 whites). BID was the difference between ideal and current body images selected from a 13-figure rating scale, and BMI% were calculated from measured weight and height. Regression analyses were conducted separately for girls and boys. Over half of the female and one-third of male adolescents wanted a thinner body. BID was positively related to BMI% with a one-unit increase in BID associated with a 4.84-unit increase in BMI% among females and a 3.88-unit increase in BMI% in males. Both female and male adolescents reported BID beginning at a BMI% corresponding to a normal weight. At zero BID, white females had a BMI% of 62.6, statistically different from black females (BMI% 69.7). At zero BID, white males had a mean BMI% of 69 and black males at a BMI% of 75.8, not statistically different. While black and white differences exist in BID, black female adolescents like their white counterparts are reporting BID at a weight range that is within the "normal". Our study portends the increase in BID with the increasing prevalence of obesity and highlights the need for interventions to help adolescents develop a healthy and realistic body image and healthy ways to manage their weight.     

Marriage and mortality: a life table analysis

This paper examines the effects of age at marriage and differential mortality of males and females on the incidence of widowhood between the sexes. Abridged life tables constructed from marital status and death registration data of a rural area of Bangladesh for the period 1974-79 were used. The difference in life expectancy between males and females varies from 0.4 to 2.2 years at the ages 0 to 65 years and over. The mortality differentials show that the probabilities of a male or a female surviving the other spouse would be approximately the same, were there no other influence. But the incidence of widows is about ten times that of widowers. Other relevant factors, under a given regime of mortality, are age at marriage and age difference between husband and wife.     

Sex differences in body fat parameters from the early reproductive to the postreproductive period of life: a multivariate analysis

Sex diversity has been observed for many body parameters, and special attention has been paid to changes during puberty and menopause. In the present study we performed a multivariate analysis on several body fat parameters to obtain a synthetic overview of sex differences from the early reproductive period to the postreproductive period. The sample study is composed of 373 healthy Italian adults (294 females and 79 males). We have examined the amount of fat (in kilograms, as measured by dual-energy x-ray absorptiometry) in the left arm, left leg, left trunk hemisphere, right arm, right leg, and right trunk hemisphere, waist to hip ratio, and BMI. The sex differentiation from the early reproductive to the postreproductive period of life has been based on differences between the position of male and female centroids on the discriminant functions obtained for various periods of life. The difference between males and females increases suddenly after 20 years, reaching a maximum at 30 years. In the period between 30 and 40 years the difference decreases quickly, and after 40 years the difference is relatively small and remains practically constant. The fact that maximum sex differentiation coincides with age of best reproductive efficiency points to a relationship between the body parameters investigated and hormone production related to human reproduction.     

Variations in BMI and Prevalence of Health Risks in Diverse Racial and Ethnic Populations

When examining health risks associated with the BMI, investigators often rely on the customary BMI thresholds of the 1995 World Health Organization report. However, within‐interval variations in morbidity and mortality can be substantial, and the thresholds do not necessarily correspond to identifiable risk increases. Comparing the prevalence of hypertension, diabetes, coronary heart disease (CHD), asthma, and arthritis among non‐Hispanic whites, blacks, East Asians and Hispanics, we examine differences in the BMI‐health‐risk relationships for small BMI increments. The analysis is based on 11 years of data of the National Health Interview Survey (NHIS), with a sample size of 337,375 for the combined 1997–2007 Sample Adult. The analysis uses multivariate logistic regression models, employing a nonparametric approach to modeling the BMI‐health‐risk relationship, while relying on narrowly defined BMI categories. Rising BMI levels are associated with higher levels of chronic disease burdens in four major racial and ethnic groups, even after adjusting for many socio‐demographic characteristics and three important health‐related behaviors (smoking, physical activity, alcohol consumption). For all population groups, except East Asians, a modestly higher disease risk was noted for persons with a BMI <20 compared with persons with BMI in the range of 20–21. Using five chronic conditions as risk criteria, a categorization of the BMI into normal weight, overweight, or obesity appears arbitrary. Although the prevalence of disease risks differs among racial and ethnic groups regardless of BMI levels, the evidence presented here does not support the notion that the BMI‐health‐risk profile of East Asians and others warrants race‐specific BMI cutoff points.     

Reverse causality and confounding and the associations of overweight and obesity with mortality

Objective: To examine the effect of reverse causality and confounding on the association of BMI with all‐cause and cause‐specific mortality. Research Methods and Procedures: Data from two large prospective studies were used. One (a community‐based cohort) included 8327 women and 7017 men who resided in two Scottish towns at the time of the baseline assessment in 1972–1976; the other (an occupational cohort) included 4016 men working in the central belt of Scotland at the time of the baseline assessment in 1970–1973. Participants in both cohorts were ages 45 to 64 years at baseline; the follow‐up period was 28 to 34 years. Results: In age‐adjusted analyses that did not take account of reverse causality or smoking, there was no association between being overweight (BMI 25 to <30 kg/m²) and mortality, and weak to modest associations between obesity (BMI ≥30 kg/m²) and mortality. There was a strong association between smoking and lower BMI in women and men in both cohorts (all p < 0.0001). Among never‐smokers and with the first 5 years of deaths removed, overweight was associated with an increase in all‐cause mortality (relative risk ranging from 1.12 to 1.38), and obesity was associated with a doubling of risk in men in both cohorts (relative risk, 2.10 and 1.96, respectively) and a 60% increase in women (relative risk, 1.56). In both never‐smokers and current smokers, being overweight or obese was associated with important increases in the risk of cardiovascular disease. Discussion: These findings demonstrate that with appropriate control for smoking and reverse causality, both overweight and obesity are associated with important increases in all‐cause and cause‐specific mortality, and in particular with cardiovascular disease mortality.     

The Changing Body Mass–Mortality Association in the United States: Evidence of Sex-Specific Cohort Trends from Three National Health and Nutrition Examination Surveys

The association between body mass index (BMI) categories and mortality remains uncertain. Using three National Health and Nutrition Examination Surveys covering the 1971–2006 period for cohorts born between 1896 and 1968, this study estimates separately for men and women models for year-of-birth (cohort) and year-of-observation (period) trends in how age-specific mortality rates differ across BMI categories. Among women, relative to the normal weight (BMI 18.5–24.9 kg/m²), there are increasing trends in mortality rates for the overweight (BMI 25–29.9) or obese (BMI ≥ 30). Among men, mortality rates relative to the normal weight decrease for the overweight, do not change for the moderately obese (BMI 30–34.9), and increase for the severely obese (BMI ≥ 35). Period and cohort trends are similar, but the cohort trends are more consistent. In the latest cohorts, compared with the normal weight, mortality rates are 50 percent lower for overweight men, not different for moderately obese men, and 100–200 percent higher for severely obese men and for overweight or obese women. For U.S. cohorts born after the 1920s, a lower overweight than normal weight mortality is confined to men. I speculate on possible reasons why the mortality association with overweight and obesity varies by sex and cohort.     

A demographic analysis of skeletons from the Larson site (39WW2) Walworth County,South Dakota: Vital statistics

A life table methodology was used for paleodemographic analysis of skeletons from the Larson site (39WW2), an Arikara village and cemetery dated to circa A.D. 1750–1785. Vital statistics on mortality, survivorship, age-specific probability of death, life expectancy and crude mortality rate were derived from skeletal data. The population had an extremely high infant mortality rate and high rates of childhood mortality. The lowest probability of death was for adolescents. Mortality increased for young adults, ages 15–19. This increase was especially marked for females, the actual peak of adult female mortality was during ages 15–19. A second mode in the female mortality curve occurred at ages 35–39. The greatest percentage of male deaths was observed in the fourth decade, ages 30–34. Only 4.0% of the population attained the age of 50. The population crude death rate was 76 per thousand per year. This estimate, although high, is congruent with archaeological and historical sources which report a rapid Arikara population decline during the Post-Contact period. Causes of specific deaths appear to be linked to childbirth (affecting mother and infant), starvation, diseases especially tuberculosis, and intertribal warfare.