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      Sex differences in contaminant concentrations of fish: a synthesis

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          Abstract

          A comparison of whole-fish polychlorinated biphenyl (PCB) and total mercury (Hg) concentrations in mature males with those in mature females may provide insights into sex differences in behavior, metabolism, and other physiological processes. In eight species of fish, we observed that males exceeded females in whole-fish PCB concentration by 17 to 43 %. Based on results from hypothesis testing, we concluded that these sex differences were most likely primarily driven by a higher rate of energy expenditure, stemming from higher resting metabolic rate (or standard metabolic rate (SMR)) and higher swimming activity, in males compared with females. A higher rate of energy expenditure led to a higher rate of food consumption, which, in turn, resulted in a higher rate of PCB accumulation. For two fish species, the growth dilution effect also made a substantial contribution to the sex difference in PCB concentrations, although the higher energy expenditure rate for males was still the primary driver. Hg concentration data were available for five of the eight species. For four of these five species, the ratio of PCB concentration in males to PCB concentration in females was substantially greater than the ratio of Hg concentration in males to Hg concentration in females. In sea lamprey ( Petromyzon marinus), a very primitive fish, the two ratios were nearly identical. The most plausible explanation for this pattern was that certain androgens, such as testosterone and 11-ketotestosterone, enhanced Hg-elimination rate in males. In contrast, long-term elimination of PCBs is negligible for both sexes. According to this explanation, males not only ingest Hg at a higher rate than females but also eliminate Hg at a higher rate than females, in fish species other than sea lamprey. Male sea lamprey do not possess either of the above-specified androgens. These apparent sex differences in SMRs, activities, and Hg-elimination rates in teleost fishes may also apply, to some degree, to higher vertebrates including humans. Our synthesis findings will be useful in (1) developing sex-specific bioenergetics models for fish, (2) developing sex-specific risk assessment models for exposure of humans and wildlife to contaminants, and (3) refining Hg mass balance models for fish and higher vertebrates.

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          A review of correlates of physical activity of children and adolescents.

          Understanding the factors that influence physical activity can aid the design of more effective interventions. Previous reviews of correlates of youth physical activity have produced conflicting results. A comprehensive review of correlates of physical activity was conducted, and semiquantitative results were summarized separately for children (ages 3-12) and adolescents (ages 13-18). The 108 studies evaluated 40 variables for children and 48 variables for adolescents. About 60% of all reported associations with physical activity were statistically significant. Variables that were consistently associated with children's physical activity were sex (male), parental overweight status, physical activity preferences, intention to be active, perceived barriers (inverse), previous physical activity, healthy diet, program/facility access, and time spent outdoors. Variables that were consistently associated with adolescents' physical activity were sex (male), ethnicity (white), age (inverse), perceived activity competence, intentions, depression (inverse), previous physical activity, community sports, sensation seeking, sedentary after school and on weekends (inverse), parent support, support from others, sibling physical activity, direct help from parents, and opportunities to exercise. These consistently related variables should be confirmed in prospective studies, and interventions to improve the modifiable variables should be developed and evaluated.
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            Position statement: Utility, limitations, and pitfalls in measuring testosterone: an Endocrine Society position statement.

            The objective of the study was to evaluate the current state of clinical assays for total and free testosterone. The five participants were appointed by the Council of The Endocrine Society and charged with attaining the objective using published data and expert opinion. Data were gleaned from published sources via online databases (principally PubMed, Ovid MEDLINE, Google Scholar), the College of American Pathologists, and the clinical and laboratory experiences of the participants. The statement was an effort of the committee and was reviewed in detail by each member. The Council of The Endocrine Society reviewed a late draft and made specific recommendations. Laboratory proficiency testing should be based on the ability to measure accurately and precisely samples containing known concentrations of testosterone, not only on agreement with others using the same method. When such standardization is in place, normative values for total and free testosterone should be established for both genders and children, taking into account the many variables that influence serum testosterone concentration.
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              Examining variations of resting metabolic rate of adults: a public health perspective.

              There has not been a recent comprehensive effort to examine existing studies on the resting metabolic rate (RMR) of adults to identify the effect of common population demographic and anthropometric characteristics. Thus, we reviewed the literature on RMR (kcal·kg(-1)·h(-1)) to determine the relationship of age, sex, and obesity status to RMR as compared with the commonly accepted value for the metabolic equivalent (MET; e.g., 1.0 kcal·kg(-1)·h(-1)).
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                Author and article information

                Contributors
                cmadenjian@usgs.gov
                redisker@gvsu.edu
                dpkrabbe@usgs.gov
                mstapanian@usgs.gov
                sergeic@umich.edu
                okeefej@michigan.gov
                Journal
                Biol Sex Differ
                Biol Sex Differ
                Biology of Sex Differences
                BioMed Central (London )
                2042-6410
                2 September 2016
                2 September 2016
                2016
                : 7
                : 1
                : 42
                Affiliations
                [1 ]U. S. Geological Survey, Great Lakes Science Center, 1451 Green Road, Ann Arbor, MI 48105 USA
                [2 ]Annis Water Resources Institute, Grand Valley State University, 740 West Shoreline Drive, Muskegon, MI 49441 USA
                [3 ]U. S. Geological Survey, Wisconsin Water Science Center, 8505 Research Way, Middleton, WI 53562 USA
                [4 ]U. S. Geological Survey, Great Lakes Science Center, Lake Erie Biological Station, 6100 Columbus Avenue, Sandusky, OH 44870 USA
                [5 ]University of Michigan, School of Public Health, 1420 Washington Heights, Ann Arbor, MI 48109 USA
                [6 ]Bureau of Laboratories, Michigan Department of Health and Human Services, 3350 North Martin Luther King Jr. Boulevard, Lansing, MI 48906 USA
                Article
                90
                10.1186/s13293-016-0090-x
                5010710
                07e7555c-ea2b-4376-829e-9cc46f21c6d0
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 June 2016
                : 19 August 2016
                Funding
                Funded by: We did not receive funding
                Award ID: to develop this synthesis paper.
                Categories
                Review
                Custom metadata
                © The Author(s) 2016

                Human biology
                androgens,bioenergetics models,gonadosomatic index,gross growth efficiency,hg-elimination rates,laboratory mice,teleost fishes,testosterone,vertebrates

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