Skip to main content
PMC home page
American Journal of Men's Health logoLink to American Journal of Men's Health
. 2016 Dec 5;11(2):369–375. doi: 10.1177/1557988316681221

Exploring Gender Differences in a Randomized Trial of Weight Loss Maintenance

Melissa M Crane 1,✉, Robert W Jeffery 1, Nancy E Sherwood 2
PMCID: PMC5313337  NIHMSID: NIHMS836345  PMID: 27923968

Abstract

The purpose of this study is to explore gender differences in reasons for losing weight, weight loss methods, and weight loss behaviors prior to and during a weight loss maintenance trial. This is a secondary analysis of data from a 24-month randomized controlled trial comparing Self-Directed or Guided phone-based weight loss maintenance interventions among adults who had intentionally lost ≥10% of their body weight in the year prior to enrollment. Participants reported their weight loss methods and reasons for recently losing weight at baseline. Dietary intake, physical activity, and dietary patterns were assessed at baseline, 12, and 24 months. Participants included 419 adults (18.4% men, age 47.0 ± 10.8, BMI 28.4 ± 5.0). Women were more likely than men to report having used an organized weight loss program during their weight loss (55.9% vs. 24.7%, p < .001) and to report improving personal esteem as a motivator (51.2% vs. 35.1%, p = .01). Men were more likely than women to report eating food from convenience stores at baseline (22.1% vs. 13.2%, p = .05) and throughout the study but otherwise reported similar meal patterns (ps > .05). Men reported higher energy intake than women while physical activity was similar. Although more men self-directed their initial weight loss and more women utilized organized weight loss programs, behaviors reported during weight loss maintenance were similar. Futures studies are needed to understand if these results generalize to other men who have successfully lost weight and are participants in other weight loss maintenance interventions.

Keywords: weight loss maintenance, gender differences, behavior, intervention

The prevalence of overweight and obesity are nearly equal among men and women in the United States (Ogden, Carroll, Kit, & Flegal, 2014). Despite similar weight loss needs, men are underrepresented in formal weight control programs or intervention trials (Pagoto et al., 2011; Robertson et al., 2014). This is problematic because men are not gaining the health benefits associated with weight loss program participation (e.g., Diabetes Prevention Program Research Group, 2009; The Look AHEAD Research Group, 2010). Furthermore, because men are underrepresented in weight loss maintenance trials, it is unclear if these interventions are as effective for men as they are for women.

Men and women exhibit different attitudes and behaviors surrounding weight and weight management. Men with overweight are less likely to see themselves as overweight than women with overweight (Gregory, Blanck, Gillespie, Maynard, & Serdula, 2008; S. A. Tsai, Lv, Xiao, & Ma, 2016). Along with this misperception, men are less likely to report attempting to control their weight than women (Duncan et al., 2011; James, 2003; Kruger, Galuska, Serdula, & Jones, 2004; Lemon, Rosal, Zapka, Borg, & Andersen, 2009). This reduced interest in weight control is evident in studies of weight control. Specifically, reviews of behavioral weight loss programs have reported that men make up only 27% of participants (Pagoto et al., 2011; Robertson et al., 2014). A second contributor to men’s low participation in weight loss programs is that the programs that are available are seen as unappealing or designed for women’s needs (Archibald et al., 2015; de Souza & Ciclitira, 2005; Sabinsky, Toft, Raben, & Holm, 2007). To address these concerns and engage men in prevention efforts, male-targeted weight loss programs have been tested and have demonstrated effectiveness in producing weight loss (e.g., Crane, Lutes, Ward, Bowling, & Tate, 2015; Hunt et al., 2014; Morgan, Lubans, Collins, Warren, & Callister, 2011). In their review of men-only weight loss programs, Young, Morgan, Plotnikoff, Callister, and Collins (2012) only identified one program with follow-up greater than a year, suggesting that studies of men-only weight loss maintenance programs have not yet been conducted. A recent review of mixed-gender programs concluded that within three studies focused on weight loss maintenance monetary contracts, Orlistat, and on-demand very low-calorie diet meal replacements demonstrated equal effectiveness in producing weight loss maintenance in men and women (Robertson et al., 2016). However, weight loss maintenance remains a challenge for both men and women (Dombrowski, Knittle, Avenell, Araujo-Soares, & Sniehotta, 2014; MacLean et al., 2015).

Several trials have demonstrated the efficacy of interventions explicitly designed to improve weight loss maintenance (Jakicic, Marcus, Lang, & Janney, 2008; Perri et al., 2001; Perri et al., 2008; Svetkey et al., 2008; A. G. Tsai, Felton, Wadden, Hosokawa, & Hill, 2015; Wing, Tate, Gorin, Raynor, & Fava, 2006). Most weight loss maintenance trials to date have included a weight loss program first followed by a testing weight loss maintenance intervention(s). This design obscures the ability to examine how successful weight losers approach their initial weight loss when pursued outside of a randomized trial and if there are differences by gender in these approaches. The Keep It Off trial (Sherwood et al., 2013), as well as the Stop Regain trial (Wing et al., 2006), used an alternative design where participants were enrolled in a maintenance trial after successfully achieving a clinically significant weight loss (≥10% of initial weight). This study uses data from the Keep It Off study, to test among successful weight losers whether men and women in the trial differed at baseline in motivations or methods for weight loss used prior to entering the study and gender differences in behaviors or weight change during the experimental weight loss maintenance intervention period.

Method

Participants and Procedures

Data for this analysis come from the 24-month Keep It Off randomized controlled trial (NCT00702455; Sherwood et al., 2011; Sherwood et al., 2013). The primary criterion for the trial eligibility was having experienced a verifiable intentional weight loss of at least 10% of their body weight in the previous year. Weight losses were verified via photographs or confirmation from friends or family members, an approach similar to that used in the National Weight Control Registry (Klem, Wing, McGuire, Seagle, & Hill, 1997). Other eligibility criteria were ages of 18 to 65 years and generally good health (Sherwood et al., 2011). Participants were recruited through community outreach and through HealthPartners Institute employee-, member-, and patient-based advertisements. As described elsewhere, participants were randomized to either a phone-based weight gain prevention program or a self-help control group and then followed for 24 months (Sherwood et al., 2011). All study procedures were reviewed and approved by the HealthPartners Institute institutional review board.

Measures

At baseline, 12 months, and 24 months postrandomization participants attended in-person assessment visits where their weights were measured using a calibrated digital scale (Seca 770 Medical Scale) by research staff masked to treatment assignment. Height was measured at baseline only (Seca 214 Portable Height Rod).

Initial Weight Loss

During the telephone screening for the study, participants were asked about their prior weight loss experiences. Participants were asked to report their highest weight in the past year and their current weight. These values were used to calculate their percentage weight loss. Participants were asked how they achieved their recent weight loss, including whether they took part in an organized weight loss program. Participants were also asked to describe what motivated their weight loss attempt. The open-ended responses were reviewed by the Keep It Off study team and were coded as related to health (e.g., improving current health, preventing future health problems), related to self-esteem (e.g., wanting to feel better about himself or herself, improve appearance), or related to other reasons (e.g., to benefit family). Reasons for weight loss categories were not mutually exclusive.

Weight Maintenance Behaviors

Eating and exercise behaviors were assessed at baseline, 12 months, and 24 months. Dietary intake was assessed using the National Cancer Institute’s Web-based Diet History Questionnaire (Subar et al., 2001). Total energy intake (kcals), percentage calories from fat, daily servings of fruit and vegetables, and total energy intake adjusted for body weight (kcal/lb) are reported here.

Eating patterns and food sources over the past week were assessed using a 10-item scale. Participants were asked on a 5-point scale (ranging from 0 times to 7+ times) how often they ate: breakfast, lunch, dinner, after 7 p.m., snacks while watching television, meals while watching television, food at work, fast-food restaurant food, sit-down restaurant food, and food purchased at a convenience store. Responses to these items were highly skewed and were therefore transformed into dichotomous variables. These responses were categorized separating those who ate each meal 7 days per week (vs. <7), those who ate snacks or meals while watching television three times or more (vs. <3), and those who ate after 7 p.m. three times (vs. <3), and those who never (vs. ever) ate foods from work, fast-food restaurants, sit-down restaurants, or from convenience store.

Physical activity was assessed using the Paffenbarger Physical Activity Questionnaire (Paffenbarger, Hyde, Wing, & Hsieh, 1986). This seven-item questionnaire asks participants to report their walking, number of flights of stairs climbed, and any leisure time physical activity. This questionnaire is been used in prior weight control trials and is able to assess change in physical activity over time (e.g., Jeffery, Wing, Sherwood, & Tate, 2003) and has acceptable validity for assessing structured physical activity (Ainsworth, Leon, Richardson, Jacobs, & Paffenbarger, 1993).

Analysis

Analyses were conducted using SAS 9.3. Baseline gender differences were tested using t tests and chi-square. Changes in weight maintenance behaviors were tested using multilevel modeling regression using PROC MIXED for continuous variables and PROC GENMOD for binary outcomes. All analyses controlled for the effect of the treatment group. There were no significant interactions between gender, treatment group, and time (ps > .05; data not reported). There were no differences in assessment completion rates by gender at either 12 months (p = .40) or 24 months (p = .13).

Results

Baseline Information

Four hundred and nineteen participants were randomized into the Keep It Off trial and the majority returned for the 12-month (n = 363; 86.6%) and 24-month (n = 364; 86.9%) assessments. Table 1 describes the participants’ baseline information. Men were significantly older and more likely to be married than women but otherwise similar with regard to demographic information. On average, both men and women were categorized as overweight at the study entry, although there was a trend for men to have a greater body mass index. Men reported a smaller weight loss prior to study entry (15.0 ± 4.9% vs. 16.4 ± 5.4%, p = .03).

Table 1.

Baseline Characteristics and Reports of Recent Weight Loss Experiences by Gender.

Women Men p
N 342 77
% 81.6% 18.4%
Age, years, M (SD) 46.3 (10.9) 50.4 (9.3) .002
Educational status
 College or graduate degree 217 (63.5%) 53 (68.8%) .37
Marital status .04
 Married/unmarried couple 223 (65.4%) 61 (79.2%)
 Divorced/widowed/separated 64 (18.8%) 11 (14.3%)
 Never married 54 (15.8%) 5 (6.5%)
Employed for wages 297 (86.8%) 68 (88.3%) .73
Non-Hispanic White 296 (86.6%) 68 (88.3%) .68
Body mass index, kg/m2, M (SD) 28.3 (4.9) 29.4 (4.3) .08
% Weight loss prior to study, M (SD) 16.4 (5.4) 15.0 (4.9) .03
Reasons for losing weight
 Improve health 229 (68.2%) 57 (74.0%) .31
 Improve personal esteem 172 (51.2%) 27 (35.1%) .01
 Other reason 6 (1.8%) 2 (2.6%) .64
Weight loss method
 Organized weight loss program 191 (55.9%) 19 (24.7%) <.001
 Self-directed 151 (44.2%) 58 (75.3%)
Daily self-weighing 159 (46.5%) 40 (52.0%) .39
Eating habits
 Breakfast daily 210 (61.4%) 50 (64.9%) .56
 Lunch daily 211 (61.9%) 46 (61.3%) .93
 Dinner daily 250 (73.3%) 53 (68.8%) .43
 Meal while watching TV (3+ times/week) 158 (46.5%) 34 (44.7%) .78
 Snack while watching TV (3+ times/week) 125 (36.8%) 29 (37.7%) .88
 Eat after 7 p.m. (3+ times/week) 206 (60.2%) 46 (59.7%) .94
 Ate in restaurants 237 (69.5%) 57 (74.0%) .43
 Ate fast food 168 (49.1%) 35 (45.5%) .56
 Ate employer provided food 150 (43.9%) 29 (37.7%) .32
 Food from convenience stores 45 (13.2%) 17 (22.1%) .05
Open in a new tab

Note. Values are number (%) of gender, unless otherwise indicated.

Both men (74.0%; n = 57) and women (68.2%; n = 229; p = .31) reported wanting to improve their health as a major motivator for losing weight. Women, however, reported losing weight to enhance their feelings of personal esteem more frequently than men (51.2%; n = 175 vs. 35.1%; n = 27; p = .01). Weight loss method also differed by gender. Women were nearly twice as likely as men to report using an organized weight loss program (55.9%; n = 191 vs. 24.7%; n = 19; odds ratio = 3.86, 95% confidence interval [2.21, 6.76], p < .001).

Changes in Behavior

Although men had significantly higher weights over the course of the study (Table 2), there was no gender difference in the change in weight over time (Gender by Time interaction, p = .62). Descriptively, between study entry and 24 months weight change was 7.03 ± 19.02 lb (M ± SD) for men and 8.15 ± 17.0 lb for women. Translated to percentage of lost weight regained, men regained 16.15% (±46.22) of their lost weight and women regained 24.38% (±53.14; p = .19).

Table 2.

Change in Weight, Physical Activity, and Diet Behaviors by Gender, Baseline Through 24 Months.

Womena Mena Gender (p) Time (p) Gender × Time (p)
Weight, lb <.001 <.001 .62
 Baseline 168.1 (2.5) 205.1 (4.3)
 12 Months 172.2 (2.5) 209.1 (4.3)
 24 Months 176.2 (2.6) 213.1 (4.4)
Physical activity, kcal/weekb .32 .15 .98
 Baseline 1,150 (1.1) 1,346 (1.2)
 12 Months 1,090 (1.1) 1,270 (1.1)
 24 Months 1,028 (1.1) 1,198 (1.2)
Calorie intake, kcal/day <.001 .09 .004
 Baseline 1,419 (40) 2,016 (70)
 12 Months 1,394 (38) 1,990 (72)
 24 Months 1,368 (42) 1,964 (76)
Calories adjusted for body weight, kcal/day/lb .002 <.001 .03
 Baseline 8.6 (0.2) 9.9 (0.4)
 12 Months 8.3 (0.2) 9.6 (0.4)
 24 Months 8.0 (0.2) 9.3 (0.4)
Calories from fat, % .01 <.001 .03
 Baseline 31.3 (0.5) 33.4 (0.8)
 12 Months 32.0 (0.4) 34.1 (0.8)
 24 Months 32.6 (0.5) 34.8 (0.9)
Fruits, servings/day .44 .003 .65
 Baseline 2.5 (0.1) 2.7 (0.2)
 12 Months 2.4 (0.1) 2.6 (0.2)
 24 Months 2.2 (0.1) 2.4 (0.3)
Vegetables, servings/day .62 <.001 .15
 Baseline 4.0 (0.2) 4.1 (0.3)
 12 Months 3.7 (0.2) 3.8 (0.3)
 24 Months 3.3 (0.2) 3.5 (0.3)
Open in a new tab

Note. Within group difference from baseline, p < .05.

a

Model estimated means (standard error) reported. Analysis controlling for treatment group. bAnalysis conducted using log-transformed values, back-transformed values presented.

There were no gender differences in level of physical activity at baseline, 12, or 24 months (Table 2). However, men reported greater caloric intake than women at baseline, 12, and 24 months (p < .001). Men also reported reduced intake at 12 and 24 months (p < .05), whereas women’s total energy intake remained stable between 12 and 24 months. These dietary intake differences remained statistically significant even after adjusting for participant body weight. There were significant changes in percentage calories from fat by gender over time. Women increased their calories from fat between baseline and 12 months and 24 months (p < .05), while there was no significant change in men. Both men and women decreased their fruit and vegetable servings throughout the study. The eating patterns reported by men and women in this study were similar to each other and stable across the 24-month study (all ps > .05; baseline data presented in Table 1). The only exceptions were that men were more likely to purchase food at convenience stores at each time point and that both men and women reported a slight decrease in daily consumption of dinner during the study (p = .04).

Discussion

This secondary analysis of data from a randomized trial testing the efficacy of two telephone delivered weight loss maintenance interventions compared men and women who had intentionally lost weight in the year prior to entering the trial. This analysis examined whether men and women differed in reasons or methods for losing weight prior to study entry. Gender differences in weight loss maintenance methods used during the trial were also examined. The analysis indicated that although men and women reported different motivation for and approaches to weight loss prior to their enrollment in the study, weight-related behaviors at study entry were similar, including meal patterns and leisure time physical activity.

Women in this study were much more likely than men to report using an organized weight loss program to lose weight. This difference has been noted in surveys about weight loss attempts (Duncan et al., 2011; James, 2003; Kruger et al., 2004) and is also evident in evaluations of some commercial programs (e.g., Gudzune et al., 2015) and in participation rates in weight loss intervention trials (Robertson et al., 2014). It is noteworthy that the current study extended the gendered difference in program participation versus self-directed weight loss attempts to successful weight losers.

Men in this study consistently reported consuming more calories per pound of body weight than women. This higher level of caloric intake may account for why men in this study had lost a significantly smaller proportion of their starting body weight than women or it may reflect men’s higher resting energy expenditure. The men in this study reported decreasing the calories they consumed during the trial, although dietary patterns and servings of fruits and vegetables were similar between men and women. Despite the reported reduction in calories, men experienced no additional weight change suggesting that this diet change was either insufficient to induce weight change, was a result inaccurate reporting (Dhurandhar et al., 2015), or was due to differential reduction in energy needs (e.g., Redman et al., 2009).

Few weight loss maintenance studies have reported on gender differences. A notable exception is the Weight Loss Maintenance study where all participants were given the same weight loss program and those who successfully lost weight were randomized to receive weight loss maintenance interventions. In this study, men achieved greater initial weight loss but were no more likely to maintain their reduced weight during the maintenance program than women (Svetkey et al., 2008; Svetkey et al., 2011). In both the Weight Loss Maintenance study and the current study, there were no gender differences in weight maintenance suggesting that men and women experience similar responses to gender-neutral weight loss programs. However, it remains unclear if weight loss maintenance behaviors are similar in men and women outside of maintenance-focused interventions. Furthermore, because current treatment programs recruit a limited number of men, the men in this study and other maintenance programs may be unrepresentative of men overall with regard to their weight control behaviors.

This study has several strengths and contributes to what is currently known about gender and weight loss maintenance. This study is one of the few studies that have explored gender differences in weight loss maintenance. It is particularly notable that in this analysis, behaviors were assessed after weight loss was achieved as well as during the weight loss maintenance program. A limitation of this analysis is that the Keep It Off trial was not designed to test for gender differences and thus should be considered exploratory. Other limitations include a fairly homogeneous sample with regard to race/ethnicity and education, a relatively small number (n = 77, 18.4%) of men, and reliance on self-report of diet and physical activity behaviors which may include social desirability bias. Finally, self-selection into the study may limit the generalizability of the results from this analysis to other successful weight losers.

Study results indicate that although men and women reported different initial weight loss methods, once in a weight loss maintenance study, their behaviors closely mirror each other. Although the findings suggest that the behaviors necessary for weight loss maintenance do not differ between men and women, the findings do not preclude the potential importance of developing targeted weight loss and maintenance interventions for men. Given the paucity of research on men’s weight loss maintenance and low enrollment of men in weight loss maintenance programs, researchers should focus on how to encourage men to participate in weight control programs and how to increase awareness the importance of long-term weight loss maintenance.

Footnotes

Authors’ Note: The content is solely the responsibility of the authors and does not necessarily represent the official views of the NCI, NIDDK, or the National Institutes of Health. Trial Registration: ClinicalTrials.gov identifier: NCT00702455.

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by a grant from the National Cancer Institute (R01CA128211) and by the National Institute of Diabetes and Digestive and Kidney Diseases (T32DK083250).

References

  1. Ainsworth B. E., Leon A. S., Richardson M. T., Jacobs D. R., Paffenbarger R., Jr. (1993). Accuracy of the College Alumnus Physical Activity questionnaire. Journal of Clinical Epidemiology, 46, 1403-1411. [DOI] [PubMed] [Google Scholar]
  2. Archibald D., Douglas F., Hoddinott P., van Teijlingen E., Stewart F., Robertson C., . . . Avenell A. (2015). A qualitative evidence synthesis on the management of male obesity. BMJ Open, 5, e008372. doi: 10.1136/bmjopen-2015-008372 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Crane M. M., Lutes L. D., Ward D. S., Bowling J. M., Tate D. F. (2015). A randomized trial testing the efficacy of a novel approach to weight loss among men with overweight and obesity. Obesity, 23, 2398-2405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. de Souza P., Ciclitira K. E. (2005). Men and dieting: A qualitative analysis. Journal of Health Psychology, 10, 793-804. [DOI] [PubMed] [Google Scholar]
  5. Dhurandhar N. V., Schoeller D., Brown A. W., Heymsfield S. B., Thomas D., Sorensen T. I. A. . . . The Energy Balance Measurement Working Group. (2015). Energy balance measurement: When something is not better than nothing. International Journal of Obesity, 39, 1109-1113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Diabetes Prevention Program Research Group. (2009). 10-Year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet, 374, 1655-1656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Dombrowski S. U., Knittle K., Avenell A., Araujo-Soares V., Sniehotta F. F. (2014). Long term maintenance of weight loss with non-surgical interventions in obese adults: Systematic review and meta-analyses of randomised controlled trials. British Medical Journal, 348, g2646. doi: 10.1136/bmj.g2646 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Duncan D. T., Wolin K., Scharoun-Lee M., Ding E. L., Warner E. T., Bennett G. G. (2011). Does perception equal reality? Weight misperception in relation to weight-related attitudes and behaviors among overweight and obese US adults. International Journal of Behavioral Nutrition and Physical Activity, 8, 20. doi: 10.1186/1479-5868-8-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Gregory C. O., Blanck H. M., Gillespie C., Maynard L. M., Serdula M. K. (2008). Health perceptions and demographic characteristics associated with underassessment of body weight. Obesity, 16, 979-986. [DOI] [PubMed] [Google Scholar]
  10. Gudzune K. A., Doshi R. S., Mehta A. K., Chaudhry Z. W., Jacobs D. K., Vakil R. M., . . . Clark J. M. (2015). Efficacy of commercial weight-loss programs: An updated systematic review. Annals of Internal Medicine, 162, 501-512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Hunt K., Wyke S., Gray C. M., Anderson A. S., Brady A., Bunn C., . . . Treweek S. (2014). A gender-sensitised weight loss and healthy living programme for overweight and obese men delivered by Scottish Premier League football clubs (FFIT): A pragmatic randomised controlled trial. Lancet, 383, 1211-1221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Jakicic J. M., Marcus B. H., Lang W., Janney C. (2008). Effect of exercise on 24-month weight loss maintenance in overweight women. Archives of Internal Medicine, 168, 1550-1559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. James D. C. (2003). Gender differences in body mass index and weight loss strategies among African Americans. Journal of the American Dietetic Association, 103, 1360-1362. [DOI] [PubMed] [Google Scholar]
  14. Jeffery R. W., Wing R. R., Sherwood N. E., Tate D. F. (2003). Physical activity and weight loss: Does prescribing higher physical activity goals improve outcome? American Journal of Clinical Nutrition, 78, 684-689. [DOI] [PubMed] [Google Scholar]
  15. Klem M. L., Wing R. R., McGuire M. T., Seagle H. M., Hill J. O. (1997). A descriptive study of individuals successful at long-term maintenance of substantial weight loss. American Journal of Clinical Nutrition, 66, 239-246. [DOI] [PubMed] [Google Scholar]
  16. Kruger J., Galuska D. A., Serdula M. K., Jones D. A. (2004). Attempting to lose weight: Specific practices among U.S. adults. American Journal of Preventive Medicine, 26, 402-406. [DOI] [PubMed] [Google Scholar]
  17. Lemon S. C., Rosal M. C., Zapka J., Borg A., Andersen V. (2009). Contributions of weight perceptions to weight loss attempts: Differences by body mass index and gender. Body Image, 6, 90-96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. The Look AHEAD Research Group. (2010). Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: Four-year results of the Look AHEAD trial. Archives of Internal Medicine, 170, 1566-1575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. MacLean P. S., Wing R. R., Davidson T., Epstein L., Goodpaster B., Hall K. D., . . . Ryan D. (2015). NIH Working Group Report: Innovative research to improve maintenance of weight loss. Obesity, 23, 7-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Morgan P. J., Lubans D. R., Collins C. E., Warren J. M., Callister R. (2011). 12-Month outcomes and process evaluation of the SHED-IT RCT: An Internet-based weight loss program targeting men. Obesity, 19, 142-151. [DOI] [PubMed] [Google Scholar]
  21. Ogden C. L., Carroll M. D., Kit B. K., Flegal K. M. (2014). Prevalence of childhood and adult obesity in the United States, 2011-2012. Journal of the American Medical Association, 311, 806-814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Paffenbarger R., Hyde R., Wing A., Hsieh C. (1986). Physical activity, all-cause mortality, and longevity of college alumni. New England Journal of Medicine, 314, 605-613. [DOI] [PubMed] [Google Scholar]
  23. Pagoto S. L., Schneider K. L., Oleski J. L., Luciani J. M., Bodenlos J. S., Whited M. C. (2011). Male inclusion in randomized controlled trials of lifestyle weight loss interventions. Obesity, 20, 1234-1239. [DOI] [PubMed] [Google Scholar]
  24. Perri M. G., Limacher M. C., Durning P. E., Janicke D. M., Lutes L. D., Bobroff L. B., . . . Martin A. D. (2008). Extended-care programs for weight management in rural communities: The treatment of obesity in underserved rural settings (TOURS) randomized trial. Archives of Internal Medicine, 168, 2347-2354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Perri M. G., Nezu A. M., McKelvey W. F., Shermer R. L., Renjilian D. A., Viegener B. J. (2001). Relapse prevention training and problem-solving therapy in the long-term management of obesity. Journal of Consulting and Clinical Psychology, 69, 722-726. [PubMed] [Google Scholar]
  26. Redman L. M., Heilbronn L. K., Martin C. K., de Jonge L., Williamson D. A., Delany J. P. . . . Pennington CALERIE Team. (2009). Metabolic and behavioral compensations in response to caloric restriction: Implications for the maintenance of weight loss. PLoS ONE, 4(2), e4377. doi: 10.1371/journal.pone.0004377 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Robertson C., Archibald D., Avenell A., Douglas F., Hoddinott P., van Teijlingen E., . . . Fowler C. (2014). Systematic reviews of and integrated report on the quantitative, qualitative and economic evidence base for the management of obesity in men. Health Technology Assessment, 18(35). doi: 10.3310/hta18350 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Robertson C., Avenell A., Boachie C., Stewart F., Archibald D., Douglas F., . . . Boyers D. (2016). Should weight loss and maintenance programmes be designed differently for men? A systematic review of long-term randomised controlled trials presenting data for men and women: The ROMEO project. Obesity Research & Clinical Practice, 10, 70-84. [DOI] [PubMed] [Google Scholar]
  29. Sabinsky M. S., Toft U., Raben A., Holm L. (2007). Overweight men’s motivations and perceived barriers towards weight loss. European Journal of Clinical Nutrition, 61, 526-531. [DOI] [PubMed] [Google Scholar]
  30. Sherwood N. E., Crain A. L., Martinson B. C., Anderson C. P., Hayes M. G., Anderson J. D., . . . Jeffery R. W. (2013). Enhancing long-term weight loss maintenance: 2 Year results from the Keep It Off randomized controlled trial. Preventive Medicine, 56, 171-177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Sherwood N. E., Crain A. L., Martinson B. C., Hayes M. G., Anderson J. D., Clausen J. M., . . . Jeffery R. W. (2011). Keep It Off: A phone-based intervention for long-term weight-loss maintenance. Contemporary Clinical Trials, 32, 551-560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Subar A. F., Thompson F. E., Kipnis V., Midthune D., Hurwitz P., McNutt S., . . . Rosenfeld S. (2001). Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires. American Journal of Epidemiology, 154, 1089-1099. [DOI] [PubMed] [Google Scholar]
  33. Svetkey L. P., Ard J. D., Stevens V. J., Loria C. M., Young D. Y., Hollis J. F., . . . Kumanyika S. K. (2011). Predictors of long-term weight loss in adults with modest initial weight loss, by sex and race. Obesity, 20, 1820-1828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Svetkey L. P., Stevens V. J., Brantley P. J., Appel L. J., Hollis J. F., Loria C. M. . . . Weight Loss Maintenance Collaborative Research Group. (2008). Comparison of strategies for sustaining weight loss. Journal of the American Medical Association, 299, 1139-1148. [DOI] [PubMed] [Google Scholar]
  35. Tsai A. G., Felton S., Wadden T. A., Hosokawa P. W., Hill J. O. (2015). A randomized clinical trial of a weight loss maintenance intervention in a primary care population. Obesity, 23, 2015-2021. [DOI] [PubMed] [Google Scholar]
  36. Tsai S. A., Lv N., Xiao L., Ma J. (2016). Gender differences in weight-related attitudes and behaviors among overweight and obese adults in the United States. American Journal of Men’s Health, 10, 389-398. [DOI] [PubMed] [Google Scholar]
  37. Wing R. R., Tate D. F., Gorin A. A., Raynor H. A., Fava J. L. (2006). A self-regulation program for maintenance of weight loss. New England Journal of Medicine, 355, 1563-1571. [DOI] [PubMed] [Google Scholar]
  38. Young M. D., Morgan P. J., Plotnikoff R. C., Callister R., Collins C. E. (2012). Effectiveness of male-only weight loss and weight loss maintenance interventions: A systematic review with meta-analysis. Obesity Reviews, 13, 393-408. [DOI] [PubMed] [Google Scholar]

Articles from American Journal of Men's Health are provided here courtesy of SAGE Publications

RESOURCES