human
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: Overweight and obesity affects more than 66 % of the adult population and is associated with a variety of chronic diseases . Weight reduction reduces health risks associated with chronic diseases and is therefore encouraged by major health agencies . Guidelines of the National Heart , Lung , and Blood Institute ( NHLBI ) encourage a 10 % reduction in weight , although considerable literature indicates reduction in health risk with 3 % to 5 % reduction in weight . Physical activity ( PA ) is recommended as a component of weight management for prevention of weight gain , for weight loss , and for prevention of weight regain after weight loss . In 2001 , the American College of Sports Medicine ( ACSM ) published a Position St and that recommended a minimum of 150 min wk(-1 ) of moderate-intensity PA for overweight and obese adults to improve health ; however , 200 - 300 min wk(-1 ) was recommended for long-term weight loss . More recent evidence has supported this recommendation and has indicated more PA may be necessary to prevent weight regain after weight loss . To this end , we have reexamined the evidence from 1999 to determine whether there is a level at which PA is effective for prevention of weight gain , for weight loss , and prevention of weight regain . Evidence supports moderate-intensity PA between 150 and 250 min wk(-1 ) to be effective to prevent weight gain .  Moderate-intensity PA between 150 and 250 min wk(-1 ) will provide only modest weight loss . Greater amounts of PA ( > 250 min wk(-1 ) ) have been associated with clinical ly significant weight loss .  Moderate-intensity PA between 150 and 250 min wk(-1 ) will improve weight loss in studies that use moderate diet restriction but not severe diet restriction . Cross-sectional and prospect i ve studies indicate that after weight loss , weight maintenance is improved with PA > 250 min wk(-1 ) . However , no evidence from well- design ed r and omized controlled trials exists to judge the effectiveness of PA for prevention of weight regain after weight loss .  Resistance training does not enhance weight loss but may increase fat-free mass and increase loss of fat mass and is associated with reductions in health risk . Existing evidence indicates that endurance PA or resistance training without weight loss improves health risk . There is inadequate evidence to determine whether PA prevents or attenuates detrimental changes in chronic disease risk during weight gain Background The SenseWear ™ Armb and ( SWA ) ( BodyMedia , Inc. Pittsburgh , PA ) is a physical activity and lifestyle monitor that objective ly and accurately measures free-living energy balance and sleep and includes software for self-monitoring of daily energy expenditure and energy intake . The real-time feedback of the SWA can improve individual self-monitoring and , therefore , enhance weight loss outcomes . Methods We recruited 197 sedentary overweight or obese adults ( age , 46.8 ± 10.8 y ; body mass index ( BMI ) , 33.3 ± 5.2 kg/m2 ; 81 % women , 32 % African-American ) from the greater Columbia , South Carolina area . Participants were r and omized into 1 of 4 groups , a self-directed weight loss program via an evidence -based weight loss manual ( St and ard Care , n = 50 ) , a group-based behavioral weight loss program ( GWL , n = 49 ) , the armb and alone ( SWA-alone , n = 49 ) , or the GWL plus the armb and ( GWL+SWA , n = 49 ) , during the 9-month intervention . The primary outcome was change in body weight and waist circumference . A mixed-model repeated- measures analysis compared change in the intervention groups to the st and ard care group on weight and waist circumference status after adjusting for age , sex , race , education , energy expenditure , and recruitment wave . Results Body weight was available for 62 % of participants at 9 months ( 52 % st and ard care , 70 % intervention ) . There was significant weight loss in all 3 intervention groups ( GWL , 1.86 kg , P = 0.05 ; SWA-alone , 3.55 kg , P = 0.0002 ; GWL+SWA , 6.59 kg , P < 0.0001 ) but not in the St and ard Care group ( 0.89 kg , P = 0.39 ) at month 9 . Only the GWL+SWA group achieved significant weight loss at month 9 compared to the St and ard Care group ( P = 0.04 ) . Significant waist circumference reductions were achieved in all 4 groups at month 9 ( St and ard Care , 3.49 cm , P = 0.0004 ; GWL , 2.42 cm , P = 0.008 ; SWA-alone , 3.59 cm , P < 0.0001 ; GWL+SWA , 6.77 cm , P < 0.0001 ) , but no intervention group had significantly reduced waist circumference compared to the St and ard Care group . Conclusions Continuous self-monitoring from wearable technology with real-time feedback may be particularly useful to enhance lifestyle changes that promote weight loss in sedentary overweight or obese adults . This strategy , combined with a group-based behavioral intervention , may yield optimal weight loss . Trial Registration Clinical Trials.gov : CONTEXT Rapid increases in access to the Internet have made it a viable mode for public health intervention . No controlled studies have evaluated this re source for weight loss . OBJECTIVE To determine whether a structured Internet behavioral weight loss program produces greater initial weight loss and changes in waist circumference than a weight loss education Web site . DESIGN R and omized , controlled trial conducted from April to December 1999 . SETTING AND PARTICIPANTS Ninety-one healthy , overweight adult hospital employees aged 18 to 60 years with a body mass index of 25 to 36 kg/m(2 ) . Analyses were performed for the 65 who had complete follow-up data . INTERVENTIONS Participants were r and omly assigned to a 6-month weight loss program of either Internet education ( education ; n = 32 with complete data ) or Internet behavior therapy ( behavior therapy ; n = 33 with complete data ) . All participants were given 1 face-to-face group weight loss session and access to a Web site with organized links to Internet weight loss re sources . Participants in the behavior therapy group received additional behavioral procedures , including a sequence of 24 weekly behavioral lessons via e-mail , weekly online su bmi ssion of self-monitoring diaries with individualized therapist feedback via e-mail , and an online bulletin board . MAIN OUTCOME MEASURES Body weight and waist circumference , measured at 0 , 3 , and 6 months , compared the 2 intervention groups . RESULTS Repeated- measures analyses showed that the behavior therapy group lost more weight than the education group ( P = .005 ) . The behavior therapy group lost a mean ( SD ) of 4.0 ( 2.8 ) kg by 3 months and 4.1 ( 4.5 ) kg by 6 months . Weight loss in the education group was 1.7 ( 2.7 ) kg at 3 months and 1.6 ( 3.3 ) kg by 6 months . More participants in the behavior therapy than education group achieved the 5 % weight loss goal ( 45 % vs 22 % ; P = .05 ) by 6 months . Changes in waist circumference were also greater in the behavior therapy group than in the education group at both 3 months ( P = .001 ) and 6 months ( P = .005 ) . CONCLUSIONS Participants who were given a structured behavioral treatment program with weekly contact and individualized feedback had better weight loss compared with those given links to educational Web sites . Thus , the Internet and e-mail appear to be viable methods for delivery of structured behavioral weight loss programs Background The Internet has potential as a medium for health behavior change programs , but no controlled studies have yet evaluated the impact of a fully automated physical activity intervention over several months with real-time objective feedback from a monitor . Objective The aim was to evaluate the impact of a physical activity program based on the Internet and mobile phone technology provided to individuals for 9 weeks . Methods A single-center , r and omized , stratified controlled trial was conducted from September to December 2005 in Bedfordshire , United Kingdom , with 77 healthy adults whose mean age was 40.4 years ( SD = 7.6 ) and mean body mass index was 26.3 ( SD = 3.4 ) . Participants were r and omized to a test group that had access to an Internet and mobile phone – based physical activity program  ( n = 47 ) or to a control group ( n = 30 ) that  received no support . The test group received tailored solutions for perceived barriers , a schedule to plan weekly exercise sessions with mobile phone and email reminders , a message board to share their experiences with others , and feedback on their level of physical activity . Both groups were issued a wrist-worn accelerometer to monitor their level of physical activity ;  only the test group received real-time feedback via the Internet . The main outcome measures were accelerometer data and self-report of physical activity . Results At the end of the study period , the test group reported a significantly greater increase over baseline than did the control group for perceived control ( P < .001 ) and intention/expectation to exercise ( P < .001 ) . Intent-to-treat analyses of both the accelerometer data ( P = .02 ) and leisure time self-report data ( P = .03 ) found a higher level of moderate physical activity in the test group . The average increase ( over the control group ) in accelerometer-measured moderate physical activity was 2 h 18 min per week . The test group also lost more percent body fat than the control group ( test group : −2.18 , SD = 0.59 ; control group : −0.17 , SD = 0.81 ; P = .04 ) . Conclusions A fully automated Internet and mobile phone – based motivation and action support system can significantly increase and maintain the level of physical activity in healthy adults Background Obesity remains a major public health challenge , dem and ing cost-effective and scalable weight management programs . Delivering key treatment components via mobile technology offers a potential way to reduce expensive in-person contact , thereby lowering the cost and burden of intensive weight loss programs . The ENGAGED study is a theory-guided , r and omized controlled trial design ed to examine the feasibility and efficacy of an abbreviated smartphone-supported weight loss program . Methods / design Ninety-six obese adults ( BMI 30–39.9 kg/m2 ) will be r and omized to one of three treatment conditions : ( 1 ) st and ard behavioral weight loss ( STND ) , ( 2 ) technology-supported behavioral weight loss ( TECH ) ; or ( 3 ) self-guided behavioral weight loss ( SELF ) . All groups will aim to achieve a 7 % weight loss goal by reducing calorie and fat intake and progressively increasing moderate intensity physical activity to 175 minutes/week . STND and TECH will attend 8 group sessions and receive regular coaching calls during the first 6 months of the intervention ; SELF will receive the Group Lifestyle Balance Program DVD ’s and will not receive coaching calls . During months 1–6 , TECH will use a specially design ed smartphone application to monitor dietary intake , body weight , and objective ly measured physical activity ( obtained from a Blue-tooth enabled accelerometer ) . STND and SELF will self-monitor on paper diaries . Linear mixed modeling will be used to examine group differences on weight loss at months 3 , 6 , and 12 . Self-monitoring adherence and diet and activity goal attainment will be tested as mediators . Discussion ENGAGED is an innovative weight loss intervention that integrates theory with emerging mobile technologies . We hypothesize that TECH , as compared to STND and SELF , will result in greater weight loss by virtue of improved behavioral adherence and goal achievement . Trial registration BACKGROUND Several studies have shown that e-mail counseling improves weight loss achieved in self-directed Internet programs . Computer-tailored feedback offers a population -based alternative to human e-mail counseling . METHODS One hundred ninety-two adults , aged 49.2 + /- 9.8 years , having a body mass index ( calculated as weight in kilograms divided by height in meters squared ) of 32.7 + /- 3.5 , were r and omized to 1 of 3 Internet treatment groups : No counseling , computer-automated feedback , or human e-mail counseling .  All participants received 1 weight loss group session , coupons for meal replacements , and access to an interactive Web site . The human e-mail counseling and computer-automated feedback groups also had access to an electronic diary and message board . The human e-mail counseling group received weekly e-mail feedback from a counselor , and the computer-automated feedback group received automated , tailored messages . RESULTS Retention was 82 % at 3 months and 80 % at 6 months for all 3 groups . At 3 months , completers in both the computer-automated feedback ( -5.3 + /- 4.2 kg ) and human e-mail counseling ( -6.1 + /- 3.9 kg ) groups had significantly greater weight losses compared with the no counseling group ( -2.8 + /- 3.5 kg ) and these groups did not differ from each other . At 6 months , weight losses were significantly greater in the human e-mail counseling group ( -7.3 + /- 6.2 kg ) than in the computer-automated feedback ( -4.9 + /- 5.9 kg ) or no counseling ( -2.6 + /- 5.7 kg ) groups . Intent-to-treat analyses using single or multiple imputation techniques showed the same pattern of significance . CONCLUSIONS Providing automated computer-tailored feedback in an Internet weight loss program was as effective as human e-mail counseling at 3 months . Further research is needed to improve the efficacy of automated computer-tailored feedback as a population -based weight loss approach Background The construct 
    Output:
    
agent
Conclusion These studies provide preliminary evidence suggesting that EAMS can increase physical activity and decrease weight significantly , but their efficacy compared to other interventions has not yet been demonstrated .
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: Overweight and obesity affects more than 66 % of the adult population and is associated with a variety of chronic diseases . Weight reduction reduces health risks associated with chronic diseases and is therefore encouraged by major health agencies . Guidelines of the National Heart , Lung , and Blood Institute ( NHLBI ) encourage a 10 % reduction in weight , although considerable literature indicates reduction in health risk with 3 % to 5 % reduction in weight . Physical activity ( PA ) is recommended as a component of weight management for prevention of weight gain , for weight loss , and for prevention of weight regain after weight loss . In 2001 , the American College of Sports Medicine ( ACSM ) published a Position St and that recommended a minimum of 150 min wk(-1 ) of moderate-intensity PA for overweight and obese adults to improve health ; however , 200 - 300 min wk(-1 ) was recommended for long-term weight loss . More recent evidence has supported this recommendation and has indicated more PA may be necessary to prevent weight regain after weight loss . To this end , we have reexamined the evidence from 1999 to determine whether there is a level at which PA is effective for prevention of weight gain , for weight loss , and prevention of weight regain . Evidence supports moderate-intensity PA between 150 and 250 min wk(-1 ) to be effective to prevent weight gain .  Moderate-intensity PA between 150 and 250 min wk(-1 ) will provide only modest weight loss . Greater amounts of PA ( > 250 min wk(-1 ) ) have been associated with clinical ly significant weight loss .  Moderate-intensity PA between 150 and 250 min wk(-1 ) will improve weight loss in studies that use moderate diet restriction but not severe diet restriction . Cross-sectional and prospect i ve studies indicate that after weight loss , weight maintenance is improved with PA > 250 min wk(-1 ) . However , no evidence from well- design ed r and omized controlled trials exists to judge the effectiveness of PA for prevention of weight regain after weight loss .  Resistance training does not enhance weight loss but may increase fat-free mass and increase loss of fat mass and is associated with reductions in health risk . Existing evidence indicates that endurance PA or resistance training without weight loss improves health risk . There is inadequate evidence to determine whether PA prevents or attenuates detrimental changes in chronic disease risk during weight gain Background The SenseWear ™ Armb and ( SWA ) ( BodyMedia , Inc. Pittsburgh , PA ) is a physical activity and lifestyle monitor that objective ly and accurately measures free-living energy balance and sleep and includes software for self-monitoring of daily energy expenditure and energy intake . The real-time feedback of the SWA can improve individual self-monitoring and , therefore , enhance weight loss outcomes . Methods We recruited 197 sedentary overweight or obese adults ( age , 46.8 ± 10.8 y ; body mass index ( BMI ) , 33.3 ± 5.2 kg/m2 ; 81 % women , 32 % African-American ) from the greater Columbia , South Carolina area . Participants were r and omized into 1 of 4 groups , a self-directed weight loss program via an evidence -based weight loss manual ( St and ard Care , n = 50 ) , a group-based behavioral weight loss program ( GWL , n = 49 ) , the armb and alone ( SWA-alone , n = 49 ) , or the GWL plus the armb and ( GWL+SWA , n = 49 ) , during the 9-month intervention . The primary outcome was change in body weight and waist circumference . A mixed-model repeated- measures analysis compared change in the intervention groups to the st and ard care group on weight and waist circumference status after adjusting for age , sex , race , education , energy expenditure , and recruitment wave . Results Body weight was available for 62 % of participants at 9 months ( 52 % st and ard care , 70 % intervention ) . There was significant weight loss in all 3 intervention groups ( GWL , 1.86 kg , P = 0.05 ; SWA-alone , 3.55 kg , P = 0.0002 ; GWL+SWA , 6.59 kg , P < 0.0001 ) but not in the St and ard Care group ( 0.89 kg , P = 0.39 ) at month 9 . Only the GWL+SWA group achieved significant weight loss at month 9 compared to the St and ard Care group ( P = 0.04 ) . Significant waist circumference reductions were achieved in all 4 groups at month 9 ( St and ard Care , 3.49 cm , P = 0.0004 ; GWL , 2.42 cm , P = 0.008 ; SWA-alone , 3.59 cm , P < 0.0001 ; GWL+SWA , 6.77 cm , P < 0.0001 ) , but no intervention group had significantly reduced waist circumference compared to the St and ard Care group . Conclusions Continuous self-monitoring from wearable technology with real-time feedback may be particularly useful to enhance lifestyle changes that promote weight loss in sedentary overweight or obese adults . This strategy , combined with a group-based behavioral intervention , may yield optimal weight loss . Trial Registration Clinical Trials.gov : CONTEXT Rapid increases in access to the Internet have made it a viable mode for public health intervention . No controlled studies have evaluated this re source for weight loss . OBJECTIVE To determine whether a structured Internet behavioral weight loss program produces greater initial weight loss and changes in waist circumference than a weight loss education Web site . DESIGN R and omized , controlled trial conducted from April to December 1999 . SETTING AND PARTICIPANTS Ninety-one healthy , overweight adult hospital employees aged 18 to 60 years with a body mass index of 25 to 36 kg/m(2 ) . Analyses were performed for the 65 who had complete follow-up data . INTERVENTIONS Participants were r and omly assigned to a 6-month weight loss program of either Internet education ( education ; n = 32 with complete data ) or Internet behavior therapy ( behavior therapy ; n = 33 with complete data ) . All participants were given 1 face-to-face group weight loss session and access to a Web site with organized links to Internet weight loss re sources . Participants in the behavior therapy group received additional behavioral procedures , including a sequence of 24 weekly behavioral lessons via e-mail , weekly online su bmi ssion of self-monitoring diaries with individualized therapist feedback via e-mail , and an online bulletin board . MAIN OUTCOME MEASURES Body weight and waist circumference , measured at 0 , 3 , and 6 months , compared the 2 intervention groups . RESULTS Repeated- measures analyses showed that the behavior therapy group lost more weight than the education group ( P = .005 ) . The behavior therapy group lost a mean ( SD ) of 4.0 ( 2.8 ) kg by 3 months and 4.1 ( 4.5 ) kg by 6 months . Weight loss in the education group was 1.7 ( 2.7 ) kg at 3 months and 1.6 ( 3.3 ) kg by 6 months . More participants in the behavior therapy than education group achieved the 5 % weight loss goal ( 45 % vs 22 % ; P = .05 ) by 6 months . Changes in waist circumference were also greater in the behavior therapy group than in the education group at both 3 months ( P = .001 ) and 6 months ( P = .005 ) . CONCLUSIONS Participants who were given a structured behavioral treatment program with weekly contact and individualized feedback had better weight loss compared with those given links to educational Web sites . Thus , the Internet and e-mail appear to be viable methods for delivery of structured behavioral weight loss programs Background The Internet has potential as a medium for health behavior change programs , but no controlled studies have yet evaluated the impact of a fully automated physical activity intervention over several months with real-time objective feedback from a monitor . Objective The aim was to evaluate the impact of a physical activity program based on the Internet and mobile phone technology provided to individuals for 9 weeks . Methods A single-center , r and omized , stratified controlled trial was conducted from September to December 2005 in Bedfordshire , United Kingdom , with 77 healthy adults whose mean age was 40.4 years ( SD = 7.6 ) and mean body mass index was 26.3 ( SD = 3.4 ) . Participants were r and omized to a test group that had access to an Internet and mobile phone – based physical activity program  ( n = 47 ) or to a control group ( n = 30 ) that  received no support . The test group received tailored solutions for perceived barriers , a schedule to plan weekly exercise sessions with mobile phone and email reminders , a message board to share their experiences with others , and feedback on their level of physical activity . Both groups were issued a wrist-worn accelerometer to monitor their level of physical activity ;  only the test group received real-time feedback via the Internet . The main outcome measures were accelerometer data and self-report of physical activity . Results At the end of the study period , the test group reported a significantly greater increase over baseline than did the control group for perceived control ( P < .001 ) and intention/expectation to exercise ( P < .001 ) . Intent-to-treat analyses of both the accelerometer data ( P = .02 ) and leisure time self-report data ( P = .03 ) found a higher level of moderate physical activity in the test group . The average increase ( over the control group ) in accelerometer-measured moderate physical activity was 2 h 18 min per week . The test group also lost more percent body fat than the control group ( test group : −2.18 , SD = 0.59 ; control group : −0.17 , SD = 0.81 ; P = .04 ) . Conclusions A fully automated Internet and mobile phone – based motivation and action support system can significantly increase and maintain the level of physical activity in healthy adults Background Obesity remains a major public health challenge , dem and ing cost-effective and scalable weight management programs . Delivering key treatment components via mobile technology offers a potential way to reduce expensive in-person contact , thereby lowering the cost and burden of intensive weight loss programs . The ENGAGED study is a theory-guided , r and omized controlled trial design ed to examine the feasibility and efficacy of an abbreviated smartphone-supported weight loss program . Methods / design Ninety-six obese adults ( BMI 30–39.9 kg/m2 ) will be r and omized to one of three treatment conditions : ( 1 ) st and ard behavioral weight loss ( STND ) , ( 2 ) technology-supported behavioral weight loss ( TECH ) ; or ( 3 ) self-guided behavioral weight loss ( SELF ) . All groups will aim to achieve a 7 % weight loss goal by reducing calorie and fat intake and progressively increasing moderate intensity physical activity to 175 minutes/week . STND and TECH will attend 8 group sessions and receive regular coaching calls during the first 6 months of the intervention ; SELF will receive the Group Lifestyle Balance Program DVD ’s and will not receive coaching calls . During months 1–6 , TECH will use a specially design ed smartphone application to monitor dietary intake , body weight , and objective ly measured physical activity ( obtained from a Blue-tooth enabled accelerometer ) . STND and SELF will self-monitor on paper diaries . Linear mixed modeling will be used to examine group differences on weight loss at months 3 , 6 , and 12 . Self-monitoring adherence and diet and activity goal attainment will be tested as mediators . Discussion ENGAGED is an innovative weight loss intervention that integrates theory with emerging mobile technologies . We hypothesize that TECH , as compared to STND and SELF , will result in greater weight loss by virtue of improved behavioral adherence and goal achievement . Trial registration BACKGROUND Several studies have shown that e-mail counseling improves weight loss achieved in self-directed Internet programs . Computer-tailored feedback offers a population -based alternative to human e-mail counseling . METHODS One hundred ninety-two adults , aged 49.2 + /- 9.8 years , having a body mass index ( calculated as weight in kilograms divided by height in meters squared ) of 32.7 + /- 3.5 , were r and omized to 1 of 3 Internet treatment groups : No counseling , computer-automated feedback , or human e-mail counseling .  All participants received 1 weight loss group session , coupons for meal replacements , and access to an interactive Web site . The human e-mail counseling and computer-automated feedback groups also had access to an electronic diary and message board . The human e-mail counseling group received weekly e-mail feedback from a counselor , and the computer-automated feedback group received automated , tailored messages . RESULTS Retention was 82 % at 3 months and 80 % at 6 months for all 3 groups . At 3 months , completers in both the computer-automated feedback ( -5.3 + /- 4.2 kg ) and human e-mail counseling ( -6.1 + /- 3.9 kg ) groups had significantly greater weight losses compared with the no counseling group ( -2.8 + /- 3.5 kg ) and these groups did not differ from each other . At 6 months , weight losses were significantly greater in the human e-mail counseling group ( -7.3 + /- 6.2 kg ) than in the computer-automated feedback ( -4.9 + /- 5.9 kg ) or no counseling ( -2.6 + /- 5.7 kg ) groups . Intent-to-treat analyses using single or multiple imputation techniques showed the same pattern of significance . CONCLUSIONS Providing automated computer-tailored feedback in an Internet weight loss program was as effective as human e-mail counseling at 3 months . Further research is needed to improve the efficacy of automated computer-tailored feedback as a population -based weight loss approach Background The construct 
    Output:
    