<?xml version="1.0" encoding="utf-8"?>
<recommendedContent xmlns="http://api.mspoke.com">
    <recommendedItem id="20100101_19_405"
                     title="Difficult Childhood Lingers in the Mind (CME/CE)"
                     score="0.012"
                     href="http://www.medpagetoday.com/Psychiatry/GeneralPsychiatry/tb/18312?impressionId=1265751618647"
                     
      &lt;p&gt;Adversities faced in childhood have effects on mental health far into the future, researchers affirmed.&lt;/p&gt;
&lt;p&gt;Mental illness in adulthood was increasingly likely the more traumas faced in childhood, Ronald C. Kessler, PhD, of Harvard, and colleagues reported in the February issue of the &lt;em&gt;Archives of General Psychiatry&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;Childhood difficulties potentially explained 32.4% of all the psychiatric disorders examined, they said, based on analyses of the National Comorbidity Survey Replication.&lt;/p&gt;
&lt;p&gt;Adversities relating to family dysfunction  --  substance-abusing parents, sexual or physical abuse in the home, neglect, etc.  --  appeared to have the strongest link to onset and persistence of psychiatric disorders, they reported.&lt;/p&gt;
&lt;p&gt;These findings match folk wisdom and decades of research into the negative effects of child maltreatment, commented John McGrath, MD, PhD, of the Queensland Centre for Mental Health Research in Wacol, Australia, and colleagues in an accompanying editorial.&lt;/p&gt;
&lt;p&gt;But the lack of specificity between certain exposures to particular mental health outcomes  --  such as the death of one&apos;s mother leading to depression  --  was notable, the editorialists said.&lt;/p&gt;
&lt;p&gt;&quot;Thus, childhood trauma upsets the orderly psychological and biological cascades of development, leaving the affected individual at increased risk of a wide range of adverse mental health outcomes,&quot; they wrote.&lt;/p&gt;
&lt;p&gt;Rather than continue to rehash the epidemiology, it&apos;s time to focus on prevention and intervention, McGrath&apos;s group emphasized.&lt;/p&gt;
&lt;p&gt;&quot;It is unrealistic to think that we could protect all children from all adversities, but can we identify factors that bolster resilience and focus our efforts on the most vulnerable subgroups?&quot; they asked.&lt;/p&gt;
&lt;p&gt;The researchers examined joint associations of 12 retrospectively reported childhood adversities with lifetime incidence of disorders meeting Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria in the National Comorbidity Survey Replication I, a cross-sectional survey of a nationally-representative sample of adults in 9,282 American households.&lt;/p&gt;
&lt;p&gt;Among the respondents, 53.4% reported at least one childhood adversity, most commonly parental divorce (17.5%), family violence (14.0%), family economic problems (10.6%), and parental mental illness (10.3%).&lt;/p&gt;
&lt;p&gt;These adversities were all individually and significantly linked to first onset of psychiatric disorders with odds ratios of 1.5 to 1.9 for dysfunctional family factors (physical abuse, sexual abuse, neglect, parental mental illness, parental substance abuse, parental criminality, or family violence) and 1.0 to 1.5 for other factors like life-threatening childhood physical illness, extreme poverty, parental divorce, or loss of or separation from parents.&lt;/p&gt;
&lt;p&gt;Despite some apparent but not significantly meaningful variation in type of adversity with type of psychiatric disorder, the researchers said they could rule out that all types were the same for future mental health risk (&lt;em&gt;P&lt;/em&gt;&amp;lt;0.001).&lt;/p&gt;
&lt;p&gt;Problems tended to cluster, though. Among people who faced one adversity in childhood, 51.2% to 95.1% faced others as well, depending on the adversity.&lt;/p&gt;
&lt;p&gt;Risk of mental illness rose with number of issues faced in childhood from an odds ratio of 1.3 for one up to 3.4 for six and 3.2 for seven or more adversities.&lt;/p&gt;
&lt;p&gt;&quot;This subadditive pattern has important implications for intervention because it means that prevention or amelioration of only a single childhood adversity in youths exposed to many childhood adversities is unlikely to have important preventive effects,&quot; the researchers wrote.&lt;/p&gt;
&lt;p&gt;Overall, childhood adversities were projected to account for 44.6% of childhood-onset disorders, 32.0% of adolescent-onset disorders, and 28.6% of adult-onset disorders.&lt;/p&gt;
&lt;p&gt;The researchers also looked at persistence through the second part of the National Comorbidity Survey Replication which went beyond just core diagnostic assessment in 5,692 respondents.&lt;/p&gt;
&lt;p&gt;In a complex multivariate interactive analysis, childhood adversity from dysfunctional family factors appeared significantly linked to persistence in a given year (&lt;em&gt;P&lt;/em&gt;&amp;lt;0.001) whereas the number of factors was not significant.&lt;/p&gt;
&lt;p&gt;These significant factors were parental mental illness, physical abuse, sexual abuse, and neglect, but they carried modest effects individually with odds ratios of 1.2.&lt;/p&gt;
&lt;p&gt;But in one simulation, not being exposed to childhood trauma would only increase the time since the most recent episode of psychiatric illness by 1.6%, suggesting &quot;quite modest&quot; substantive importance in determining persistence.&lt;/p&gt;
&lt;p&gt;&quot;These results indirectly suggest that the public health implications of childhood adversities are greater for primary than for secondary prevention because the associations of childhood adversities with disorder onset are much stronger than the associations with persistence,&quot; Kessler&apos;s group wrote.&lt;/p&gt;
&lt;p&gt;The researchers cautioned that recall bias may have limited their study such that the results could be considered an &quot;upper bound&quot; for the real association and that the study could not prove causality.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;The National Comorbidity Survey Replication is supported by a grant from the National Institute of Mental Health with supplemental support from the National Institute on Drug Abuse, the Substance Abuse and Mental Health Services Administration, a grant from the Robert Wood Johnson Foundation, and the John W. Alden Trust.&lt;/p&gt;&lt;p&gt;The analyses were supported by a grant from the NIMH; the John D. and Catherine T. MacArthur Foundation; the Pfizer Foundation; grants from the U.S. Public Health Service; an award from the Fogarty International Center; the Pan American Health Organization; Eli Lilly; Ortho-McNeil Pharmaceutical; GlaxoSmithKline; and Bristol-Myers Squibb.&lt;/p&gt;&lt;p&gt;Kessler reported financial conflicts of interest with GlaxoSmithKline, Kaiser Permanente, Pfizer, sanofi-aventis, Shire Pharmaceuticals, Wyeth-Ayerst, Eli Lilly, Bristol-Myers Squibb, Johnson &amp;amp; Johnson Pharmaceuticals, and Ortho-McNeil Pharmaceutical.&lt;/p&gt;&lt;p&gt;The editorialists reported no conflicts of interest.&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_355"
                     title="Obesity Delays Puberty in Boys (CME/CE)"
                     score="0.012"
                     href="http://www.medpagetoday.com/Pediatrics/Obesity/tb/18235?impressionId=1265751618647"
                     
      &lt;p&gt;Unlike overweight girls, who tend to enter puberty early, overweight and obese boys in the U.S. may begin puberty later than thin boys, according to one of the first longitudinal studies of weight and timing of puberty in males.&lt;/p&gt;
&lt;p&gt;At 11.5 years, boys with the highest body mass index (mean BMI z score=1.84) were 165% more likely to be prepubertal than the thinnest boys (95% CI 1.05 to 6.61; &lt;em&gt;P&lt;/em&gt;=0.04), researchers reported online in the Feb. 1 &lt;em&gt;Archives of Pediatrics and Adolescent Medicine&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;&quot;This longitudinal study provides further evidence that higher BMI during early and middle childhood is not associated with earlier pubertal onset in boys, contrary to what is seen in girls,&quot; Joyce M. Lee, MD, MPH, of the University of Michigan, and colleagues wrote.&lt;/p&gt;
&lt;p&gt;&quot;In fact, higher BMI in earlier childhood may be associated with and precede later onset of puberty among a population-based sample of U.S. boys.&quot;&lt;/p&gt;
&lt;p&gt;Rates of obesity among American girls and boys have nearly tripled since the 1960s, prompting concerns about the effect of excess weight on growth and development. Most research has focused on obese girls, who appear to reach puberty earlier than thin girls. A recent cross-sectional study suggested that, unlike their female counterparts, overweight boys may develop later.&lt;/p&gt;
&lt;p&gt;To further explore this relationship, Lee and colleagues analyzed the records of 401 boys from diverse socioeconomic backgrounds in ten regions of the U.S., using data from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development. The participants were full-term, only children born in 1991.&lt;/p&gt;
&lt;p&gt;The data included height and weight measurements of the children from ages 2 to 12 years and a visual assessment of whether the children had begun puberty, using Tanner genitalia staging, at 9.5, 10.5, and 11.5 years. Boys were defined as prepubertal if they were Tanner stage 1 at 11.5 years old and were otherwise categorized as pubertal.&lt;/p&gt;
&lt;p&gt;Among the participants, 14.4% were overweight (BMI &amp;#8805; 85th and &amp;lt;95th percentiles) and 19.4% were obese (BMI&amp;#8805;95th percentile) at age 11.5. Overall, 49 boys (12.2%) were prepubertal at age 11.5 years by Tanner genitalia staging.&lt;/p&gt;
&lt;p&gt;The authors wrote that their findings have important implications for understanding sex differences in physiological mechanisms of puberty.&lt;/p&gt;
&lt;p&gt;They noted that puberty is regulated by the gonadotropin-releasing hormone axis for both girls and boys, but it&apos;s unclear why such different associations between body fat and the timing of pubertal onset would exist between the sexes.&lt;/p&gt;
&lt;p&gt;&quot;Given the recent childhood obesity epidemic, additional studies are needed to further investigate the epidemiological link between body fat and pubertal initiation and progression in boys as well as the physiological mechanisms responsible,&quot; they concluded.&lt;/p&gt;
&lt;p&gt;The authors were unable to analyze the data based on race, because most of the children in the study were white. They also noted that BMI is a surrogate measure of overall body fat, and that study has found that the relationship between body fat and BMI varies depending on race. They also recommended that future studies use multiple methods of determining whether children have entered puberty.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;The study was funded by the National Institute of Child Health and Human Development and the American Heart Association.&lt;/p&gt;&lt;p&gt;The authors reported no financial conflicts of interest.&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_341"
                     title="Doctor&apos;s Orders: Brain&apos;s Wiring Makes Change Hard"
                     score="0.01"
                     href="http://www.medpagetoday.com/Psychiatry/Addictions/tb/18207?impressionId=1265751618647"
                     
      &lt;p&gt;Doctor&apos;s Orders&lt;em&gt; is a feature in the collaboration between &lt;/em&gt;MedPage Today &lt;em&gt;and&lt;/em&gt; ABC News&lt;em&gt;. In this monthly segment we explore medical issues of interest to physicians and their patients alike. This month, we look at addiction and addictive behaviors, and what neuroimaging studies have revealed about why it&apos;s so hard to break bad habits. &lt;/em&gt;&lt;/p&gt;&lt;hr&gt;

&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;By the end of January, many New Year&apos;s resolutions have been tossed out with the leftover holiday cookies. That&apos;s because change is hard  --  and neuroscientists are learning why.&lt;br&gt;
&lt;br&gt;Advances in neuroimaging have enabled researchers to peer inside the brains of addicts and patients with addictive behaviors. They can see in real-time what gets patients hooked: how the brain&apos;s reward system  --  based largely on the neurotransmitter dopamine  --  thirsts for more, while inhibitory control centers experience a system failure.&lt;br&gt;
&lt;br&gt;The pattern is similar across all kinds of behaviors  --  from cocaine and tobacco addiction to overeating. That&apos;s why changing your mind may be the first step toward breaking a habit, but altering the brain&apos;s neural machinery is the real challenge.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Hijacked Pathways&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Drug-taking and other addictive behaviors &quot;hijack&quot; the brain&apos;s reward system, says Petros Levounis, MD, director of the Addiction Institute of New York at St. Luke&apos;s and Roosevelt Hospitals in Manhattan.&lt;/p&gt;
&lt;p&gt;In normal patients, dopamine plays a major role in motivation and reward, surging before and during a pleasurable activity  --  say, eating or sex  --  to make patients want to repeat a behavior that&apos;s crucial to the survival of the species.&lt;/p&gt;
&lt;p&gt;Dopaminergic pathways connect the limbic system, responsible for emotion, with the hippocampus, etching rewarding behaviors into the brain by creating strong, salient memories.&lt;/p&gt;
&lt;p&gt;The problem arises when the memory and the craving to recapture it takes over a person&apos;s life.&lt;/p&gt;
&lt;p&gt;&quot;Imagine what a strong hold these hijacked reward pathways take on our brains and our whole existence when they&apos;re so closely connected, geographically and anatomically speaking, with our memories and our emotions,&quot; Levounis says.&lt;/p&gt;
&lt;p&gt;As the dopamine surge repeats and repeats, it gains speed, but the brakes begin to fail: Normal function in the brain&apos;s frontal lobes, responsible for inhibitory control and executive functioning (read: willpower), tends to decrease in addicts.&lt;/p&gt;
&lt;p&gt;&quot;Ultimately,&quot; Levounis says, &quot;the war on drugs is a war between the hijacked reward pathways that push the person to want to use, and the frontal lobes, which try to keep the beast at bay. That is the essence of addiction.&quot;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Similar Patterns&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;These neural pathways have been well studied in the brains of hardcore addicts. Now, researchers say they see similar pathways involved in other bad behaviors.&lt;/p&gt;
&lt;p&gt;Gene-Jack Wang, MD, of Brookhaven National Laboratory on New York&apos;s Long Island, has conducted several brain imaging studies of obese patients using PET-CT scans.&lt;/p&gt;
&lt;p&gt;The scans have revealed similarities in brain activity  --  or a lack thereof  --  between patients addicted to cocaine or alcohol, and those &quot;addicted&quot; to eating. Normally, the PET scan lights up when a contrast of radioactive glucose is metabolized, revealing an area of red activity in the center of the brain.&lt;/p&gt;
&lt;p&gt;But in both drug-addicted and obese patients, the scans show very little red activity, because there aren&apos;t enough receptors to which the radioactive glucose can bind. Wang says the decreased availability of dopamine receptors is the brain&apos;s way of coping with a constant dopamine overload.&lt;/p&gt;
&lt;p&gt;&quot;If a person constantly has an excess of dopamine, the brain will down-regulate,&quot; Wang says, explaining the principle commonly referred to as tolerance. &quot;Once the system is down-regulated, we have to do more in order to get the same amount of feeling in our normal state.&quot;&lt;/p&gt;
&lt;p&gt;Thus, obese patients &quot;will want to eat more in order to compensate for their down-regulated system.&quot;&lt;/p&gt;
&lt;p&gt;In other experiments, Wang and his colleagues have also found that a higher body mass index (BMI) correlated with lower prefrontal cortex function  --  the area associated with inhibitory control.&lt;/p&gt;
&lt;p&gt;&quot;If they&apos;re obese,&quot; Wang said, &quot;they have a problem controlling their eating behaviors.&quot;&lt;/p&gt;
&lt;p&gt;Those studies also revealed that a higher BMI was linked to a decrease in memory and executive functioning.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Out of Control&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Ed Susman was 293 pounds when he decided to join a clinical trial for an investigational weight-loss drug and chronicle his year-long experience for &lt;em&gt;MedPage Today&lt;/em&gt;. (See &lt;a href=&quot;http://www.medpagetoday.com/PrimaryCare/Diabetes/8125&quot; mce_href=&quot;http://www.medpagetoday.com/PrimaryCare/Diabetes/8125&quot; target=&quot;_blank&quot;&gt;Journalist Participant to Present Insider View of Weight-Loss Trial&lt;/a&gt;)&lt;/p&gt;
&lt;p&gt;Eating, to him, was a &quot;compulsion&quot;  --  as was biting his nails, a habit he picked up at age 4.&lt;/p&gt;
&lt;p&gt;Over the course of the trial, not only did Susman lose 52 pounds, he also stopped his nail-biting.&lt;/p&gt;
&lt;p&gt;He doesn&apos;t yet know if he was in the drug arm of the trial, but he strongly suspects he wasn&apos;t experiencing a placebo effect.&lt;/p&gt;
&lt;p&gt;&quot;I believe I was on the drug because it controlled a compulsion that I had had for 50 years,&quot; Susman says of the nail-biting. &quot;This stopped it cold.&quot;&lt;/p&gt;
&lt;p&gt;Unfortunately, he says, the same didn&apos;t happen with his eating habits, but he&apos;s gained back only 10 of those 52 pounds in the year since his participation in the trial ended.&lt;/p&gt;
&lt;p&gt;The still-investigational drug is lorcaserin  --  a combination of benzazepine and hydrochloride, two neurological agents. Susman says it is &quot;supposed to improve your willpower, your ability to overcome compulsions.&quot;&lt;/p&gt;
&lt;p&gt;Lorcaserin is a selective 5-HT&lt;sub&gt;2C&lt;/sub&gt; receptor agonist, working through the serotonin system, which regulates appetite, mood, and motor behavior.&lt;/p&gt;
&lt;p&gt;Two other investigational obesity drugs target the dopamine reward system  --  Contrave, which is a combination of bupropion and naltrexone, and Qnexa, which combines phentermine and topiramate.&lt;/p&gt;
&lt;p&gt;&quot;Some medications that have used similar dopamine modulation, until now, have failed,&quot; Wang said. &quot;These two companies are using the command of the modulation of the dopamine system with other neurological systems, such as the opiate or norepinephrine system. According to the trials, they&apos;ve been very effective.&quot;&lt;/p&gt;
&lt;p&gt;Wang called the new medications &quot;a bright light for the treatment of obesity.&quot;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Kicking the Habit&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Basically, the idea of medications that act on the dopamine system is &quot;to cool down those reward pathways,&quot; Levounis says. There are two strategies for doing so: an agonist strategy, or an antagonist strategy.&lt;/p&gt;
&lt;p&gt;The agonist strategy is &quot;feeding the beast, providing activity in the cell so that the cravings go down,&quot; Levounis said. Classic examples are nicotine patches, or methadone for opioid dependence.&lt;/p&gt;
&lt;p&gt;On the other hand, the antagonist strategy is to block the receptors. Naltrexone, for example, will block opioid receptors so that the drug addict won&apos;t feel anything if he or she attempts to get high.&lt;/p&gt;
&lt;p&gt;&quot;After a while, you say, &apos;This is not worth my time, my money, my trouble,&apos; so you stop using,&quot; Levounis explains.&lt;/p&gt;
&lt;p&gt;These have been the two main strategies in addiction pharmacotherapy, but there&apos;s now a &quot;third avenue&quot;  --  the partial agonist approach.&lt;/p&gt;
&lt;p&gt;The partial agonist is one molecule that blocks most receptors while still providing just a little bit of an &quot;oomph&quot; to calm cravings. That&apos;s how varenicline (Chantix) helps smokers quit, and how buprenorphine gets junkies off heroin or other opioids.&lt;/p&gt;
&lt;p&gt;But what about inhibitory control? What if medications could ramp up will power?&lt;/p&gt;
&lt;p&gt;&quot;It&apos;s an area of active research,&quot; Levounis says. &quot;There are some medications proposed, but nothing to write home about.&quot;&lt;/p&gt;
&lt;p&gt;He said treatment is typically twofold. For addicts, psychiatrists will try to &quot;cool down&quot; the reward pathways, often with medication. Then, they target the diminished frontal lobes.&lt;/p&gt;
&lt;p&gt;&quot;We try to beef up the frontal lobes as much as we can, and we do that with psychotherapy,&quot; Levounis said.&lt;/p&gt;
&lt;p&gt;Researchers agree that psychotherapy is key to regaining self-control, and it&apos;s the predominant treatment used in patients with addictive behaviors.&lt;/p&gt;
&lt;p&gt;Mark Smaller, PhD, a psychoanalyst in private practice in Chicago, said psychotherapy often reveals an underlying cause for an addiction or compulsive behavior. Usually, it&apos;s anxiety or depression.&lt;/p&gt;
&lt;p&gt;Acknowledging those problems may help change behaviors. Once they&apos;re realized, a patient can start working against them, with the help of the brain&apos;s own neuroplasticity. Essentially, neurons can disconnect and reconnect, or loosen their connections and tighten them, which often manifests in noticeable change.&lt;/p&gt;
&lt;p&gt;&quot;[Psychological] insights can actually begin to change brain chemistry and diffuse compulsions,&quot; he said. &quot;If you address those issues, you can have a positive impact on your life that can change the chemistry of your brain.&quot;&lt;/p&gt;
&lt;p&gt;Smaller said it &quot;creates a new psychological  --  if not neurological  --  structure that can help regulate behavior.&quot;&lt;/p&gt;
&lt;p&gt;Although research on neuroplasticity is relatively young, the concept of &quot;rewiring&quot; the brain is not new.&lt;/p&gt;
&lt;p&gt;In fact, too often, the electrician metaphor has been employed as an excuse for indulging, an explanation for a New Year&apos;s resolution deferred: &quot;I can&apos;t stop eating chocolate, I&apos;m just not wired that way.&quot;&lt;/p&gt;

&lt;hr&gt;
&lt;p&gt;&lt;img src=&quot;http://www.medpagetoday.com/upload/2009/10/30/16717.jpg&quot; mce_src=&quot;http://www.medpagetoday.com/upload/2009/10/30/16717.jpg&quot; alt=&quot;&quot;&gt;&lt;em&gt; is a collaboration between &lt;/em&gt;MedPage Today &lt;em&gt;and&lt;/em&gt; ABC News&lt;em&gt;.&lt;/p&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_346"
                     title="Daytime Sleepiness More Common in Young (CME/CE)"
                     score="0.009"
                     href="http://www.medpagetoday.com/PrimaryCare/SleepDisorders/tb/18221?impressionId=1265751618647"
                     
      &lt;p&gt;Compared with 20-somethings and seniors, middle-age adults are less likely to suffer daytime sleepiness when they don&apos;t get a good night&apos;s sleep, according to a small study.&lt;/p&gt;
&lt;p&gt;When three groups of healthy adults  --  young (20 to 30 years old), middle-age (40 to 55) and older (66 to 83)  --  were studied over four nights, slow wave sleep decreased and the number of nocturnal awakenings progressively increased with age, wrote Derk-Jan Dijk, PhD, of the Surrey Sleep Center at the University of Surrey in Guildford, England, and colleagues in the Feb. 1 issue of &lt;em&gt;Sleep.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;As the likelihood for eight hours of uninterrupted deep sleep decreased with age, there was no increase in the likelihood of daytime sleepiness, which led Dijk and colleagues to conclude that as people age there may be a change in the &quot;sleep (duration and depth) required to maintain alertness.&quot;&lt;/p&gt;
&lt;p&gt;Based on that observation, the authors wrote that it could be argued that &quot;an eight-hour episode rich in [slow wave sleep] is insufficient for young adults but that an eight-hour sleep episode with less [slow wave sleep] is sufficient for older adults.&quot;&lt;/p&gt;
&lt;p&gt;As a result, middle-age and older adults are less likely to build up &quot;sleep debt&quot; during the daylight hours, so they manage with less time in deep sleep at night, less homeostatic sleep pressure.&lt;/p&gt;
&lt;p&gt;The authors hypothesized that this apparent need for less sleep may be a factor in age-related insomnia.&lt;/p&gt;
&lt;p&gt;If older adults are unaware of the need for less sleep, &quot;their self-selected time in bed, which provides an input to the sleep homeostat, may become maladaptive and lead to reduced sleep consolidation and associated complaints.&quot;&lt;/p&gt;
&lt;p&gt;Dijk and colleagues recruited 44 young adults, 35 middle-age adults, and 31 older adults for their study. All were healthy at baseline and all were initially assessed for an eight-hour nocturnal sleep episode.&lt;/p&gt;
&lt;p&gt;They were then randomized to two nights of either selective short wave sleep interruption by acoustic stimuli or sleep without disruption, followed by one night of recovery sleep.&lt;/p&gt;
&lt;p&gt;Two standardized measurement tools, the Multiple Sleep Latency Test (MSLT) and the Karolinska Sleepiness Scale (KSS), were used to assess objective and subjective sleep propensity.&lt;/p&gt;
&lt;p&gt;&quot;Total sleep time per eight hour time in bed decreased significantly and progressively across the age groups such that older adults slept approximately 20 minutes less than middle-aged, who slept 23 minutes less than young adults,&quot; they wrote.&lt;/p&gt;
&lt;p&gt;The reduction in total sleep time &quot;was primarily related to an increase in the number of awakenings and the duration of wakefulness after sleep onset, rather than an increase in latency to sleep onset.&quot;&lt;/p&gt;
&lt;p&gt;As a result, sleep efficiency decreased significantly from 92.1% for the youngest group, to 82% for the older group (effect of age, &lt;em&gt;P&amp;lt;&lt;/em&gt;0.0001).&lt;/p&gt;
&lt;p&gt;The subjective sleep propensity tests revealed that &quot;young people were significantly sleepier than the middle-age people, who were the least sleepy of the three groups.&quot; Daytime sleepiness for the oldest group &quot;fell in between the other two groups [and] was not significantly different from either.&quot;&lt;/p&gt;
&lt;p&gt;All three groups, regardless of age, demonstrated increased daytime sleepiness following a night of experimental disruption of slow wave sleep, but when the participants had an uninterrupted eight hours of deep sleep, it was only the youngest group that was drowsy during the daytime hours.&lt;/p&gt;
&lt;p&gt;The authors noted that although there was less daytime sleepiness among middle-age and older adults in this study, sleep propensity was not measured during the evening hours, so it was possible that the age-related difference might diminish at twilight.&lt;/p&gt;
&lt;div style=&quot;float:left;border-style:solid;border-width:1px;border-color:#8dabbc;font-family:arial;font-size:12px;background-color:#DBE9F2;padding:5px;&quot;&gt;&lt;p&gt;The study was sponsored by H. Lundbeck A/S.&lt;/p&gt;&lt;p&gt;Dijk reported receiving research support from the Air Force Office of Scientific Research, the Biotechnology and Biological Sciences Research Council, GlaxoSmithKline, H. Lundbeck A/S, Merck, Pfizer, Philips Lighting, sanofi-aventis, and Takeda.&lt;/p&gt;&lt;/div&gt;&lt;div style=&quot;clear:both;&quot;&gt;&lt;/div&gt;
    </recommendedItem>
    <recommendedItem id="20100101_19_322"
                     title="Switch to Low-Fat Milk in Schools Shows Benefit"
                     score="0.006"
                     href="http://www.medpagetoday.com/PrimaryCare/DietNutrition/tb/18192?impressionId=1265751618647"
                     
      &lt;p&gt;When New York City public schools made the switch from whole milk to skim or low-fat milk, students cut their annual fat and total calorie consumption, department researchers found.&lt;/p&gt;
&lt;p&gt;Milk-drinking students consumed 5,960 fewer calories and 619 fewer grams of fat per year after they made the switch, Philip M. Alberti, PhD, of the New York Department of Health and Mental Hygiene, and colleagues reported in the Jan. 29 issue of CDC&apos;s &lt;em&gt;Morbidity &amp;amp; Mortality Weekly Report&lt;/em&gt;.&lt;/p&gt;
&lt;p&gt;At 3,500 calories per pound, the reduction would be the equivalent of 1.7 pounds of body weight over the course of a year.&lt;/p&gt;
&lt;p&gt;&quot;The switch to lower-fat milk likely has improved the overall nutritional environment of NYC public schoolchildren,&quot; Alberti and colleagues wrote.&lt;/p&gt;
&lt;p&gt;On the other hand, most of the low-fat milk consumed was chocolate milk, which has a substantially higher sugar content than unflavored milk, the researchers found.&lt;/p&gt;
&lt;p&gt;In 2005, the New York City Department of Education began reviewing its food policies and determined that replacing whole milk with fat-free or low-fat milk could decrease students&apos; fat and calorie intake.&lt;/p&gt;
&lt;p&gt;At subsequent board meetings, milk industry advocates suggested that without whole milk or chocolate- or strawberry-flavored milk, student milk consumption would decline, thus decreasing calcium and vitamin intake.&lt;/p&gt;
&lt;p&gt;Nonetheless, the Department of Education began phasing out whole milk in 2005, and limited flavored milk to fat-free chocolate milk.&lt;/p&gt;
&lt;p&gt;The researchers didn&apos;t have data on student consumption of milk, so they analyzed system-wide school milk purchases.&lt;/p&gt;
&lt;p&gt;They found that per-student school milk purchases dropped 8% between 2004 and 2006, but then gradually began to increase. By 2009, purchases had risen 1.3% from five years prior: from 112 per student in 2004 to 114 in 2009.&lt;/p&gt;
&lt;p&gt;Fat-free milk accounted for 42% of all purchases in 2009, compared with less than 7% in 2004.&lt;/p&gt;
&lt;p&gt;In 2004, students purchased more than 18 billion calories and 520 million grams of fat in the form of milk. That fell to less than 14 billion calories and 98 million grams of fat in 2009, representing a 25% and 81% decrease, respectively.&lt;/p&gt;
&lt;p&gt;Over that five-year time period, the researchers calculated that if calorie and fat savings were distributed among all students  --  including those who don&apos;t drink milk  --  they would consume 3,484 fewer calories and 382 fewer grams of fat each year.&lt;/p&gt;
&lt;p&gt;If the data were limited to students who do drink milk during the school day  --  62% of students in 2004 and 63% in 2009  --  the savings increased to 5,960 calories and 619 fat grams per year.&lt;/p&gt;
&lt;p&gt;Alberti and colleagues wrote that the data show the milk policy change reduced fat and calorie intake while still providing protein, calcium, and vitamins A and D.&lt;/p&gt;
&lt;p&gt;&quot;Other school systems can use these results to guide changes to their own school food policies,&quot; they said.&lt;/p&gt;
&lt;p&gt;They noted, however, that the majority of low-fat milk consumed  --  60% of all milk purchases  --  was chocolate milk, a concern because sweetened milk has more calories than reduced-fat white milk and contains twice as much sugar.&lt;/p&gt;
&lt;p&gt;But limiting its availability would &quot;further reduce milk consumption,&quot; they wrote.&lt;/p&gt;
&lt;p&gt;The authors noted that the study was limited because there were no data to evaluate the magnitude of the correlation between milk purchasing and milk consumption. Also, no data were collected on students&apos; diets, so the researchers could not assess the policy&apos;s larger effects on diet.&lt;/p&gt;

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