Body composition, energy expenditure and physical activity

Effects of the menopausal transition on energy expenditure: a MONET Group Study

A Corrigendum to this article was published on 08 January 2014

Abstract

Objectives:

Factors that influence weight gain during the menopausal transition are not fully understood. The purpose of this study was to investigate changes in energy expenditure (EE) across the menopausal transition.

Methods:

In all, 102 premenopausal women (age: 49.9±1.9 years; body mass index: 23.3±2.2 kg/m2) were followed for 5 years. Body composition (dual-energy X-ray absorptiometry), physical activity EE (accelerometer), resting EE and thermic effect of food (indirect calorimetry) were measured annually.

Results:

Total EE decreased significantly over time in postmenopausal women (P<0.05), which was mostly due to a decrease in physical activity EE (P<0.05). Although average resting EE remained stable over time in postmenopausal women, a significant increase, over the 5-year period, was noted in women who were in the menopausal transition by year 5 (P<0.05). Finally, the time spent in moderate physical activity decreased and the time spent in sedentary physical activity increased during the menopausal transition (P<0.05).

Conclusion:

These results suggest that menopausal transition is accompanied with a decline in EE mainly characterized by a decrease in physical activity EE and a shift to a more sedentary lifestyle.

Introduction

The menopausal transition is associated with a risk to increase body weight and adiposity.1 Weight gain observed in middle-aged women at this time seems to be more closely associated with chronological aging rather than menopause per se.2, 3, 4, 5 On the other hand, changes in body composition and in fat distribution are influenced by the hormonal changes occurring at menopause, as well as by chronological aging.6, 7 Although hormonal changes associated with menopause and chronological aging may have a role in the changes of body weight and composition in women, identifying modifiable factors that can prevent or attenuate these changes is of great relevance.8

Few studies have investigated factors associated with energy balance during the menopausal transition. Although resting energy expenditure (REE) decreases with age,9 the loss of ovarian function and the loss in muscle mass observed in postmenopausal women may also explain decline.10 A 4-year study showed a significant decrease in REE over time in middle-aged women.11 However, this decrease was 1.5 times greater in women who became postmenopausal when compared with those who remained premenopausal. Estrogens also appear to have an impact in the regulation of physical activity in both rodents and humans.12, 13 Lovejoy et al.11 showed a significant decrease in leisure-time physical activity during the menopausal transition. Spontaneous physical activity, measured in a whole-room calorimeter, was also decreased by 30–40% in both post- and premenopausal women, suggesting an age-related decline rather than a specific effect of menopause.11, 14 Thus, changes in EE could have an important role in weight gain during the menopausal transition. However, at present, little is known about the relationship between EE and menopause.

To our knowledge, there have been only four longitudinal studies related to changes in EE during the menopausal transition.2, 5, 11, 15 However, most of them have only measured the physical activity component of EE with self-reported questionnaire.2, 5, 15 One study used direct measures of body composition and EE (whole-room calorimeter and accelerometer).11 The accelerometers were worn for only four consecutive days and 24-h EE was obtained in a small subset of women. The thermic effect of food (TEF) and the time spent in physical activity of different intensities have never been investigated during the menopausal transition.

This study was performed to determine changes in energy expenditure in women going through the menopausal transition. We hypothesized that women who will have become postmenopausal at the end of the study will show greater decrease in EE (REE and physical activity EE (PAEE)).

Methods

Participants

Participants were recruited using community advertising and referrals from the Ob/Gyn clinics. Premenopausal women were included if they met the following criteria: (1) premenopausal status (two menstruations in the last 3 months, no increase in cycle irregularity in the 12 months before testing and a plasma follicular-stimulating hormone level <30 IU/L as a mean of verification), (2) aged between 47 and 55 years, (3) non-smoker, (4) body mass index (BMI) between 20 and 29 kg/m2, and (5) reported weight stability (±2 kg) for 6 months or more before enrollment in the study. Exclusion criteria were (1) pregnancy or having plans to become pregnant, (2) medical problems that could have interfered with outcome variables, including cardiovascular and/or metabolic diseases, (3) taking oral contraceptives or hormone therapy, (4) high risk for hysterectomy, and (5) history of drug and/or alcohol abuse. As described by Abdulnour et al.,7 of the 314 calls received, 102 women were found eligible. Among them, 11 dropped out of the study for personal reasons. Consequently, a total of 91 Caucasian women completed the 5-year longitudinal study. Further details of the MONET (Montreal-Ottawa New Emerging Team) menopausal transition study design and recruitment are provided elsewhere.7

As not all women had completed measurements for all of the EE variables every year, the number of participants varies across analyses for each EE variables (n range from 39 to 58). This study received approval from the University of Ottawa and the Montfort Hospital ethics committees, and written consent was obtained from each participant.

Design

The 5-year menopausal transition study was observational, with all outcomes measured at baseline and annually for 5 years. As long as women were premenopausal, they were always tested on days 1–8 of the follicular phase of the menstrual cycle, that is, when estrogens and progesterones are at their lowest concentrations.

Menopausal status

Menopausal status was determined yearly by self-reported questionnaire about menstrual bleeding and its regularity. Follicle-stimulating hormone was measured yearly during the early follicular phase and was used as a mean of verification of the menopausal status. Women were classified as premenopausal, if they reported no changes in menstrual cycle frequency; menopausal transition, if they reported irregular cycles characterized by variable cycle length >7 days different from normal and/or 2 skipped cycles and an interval of 60 days of amenorrhea; and finally women were classified as postmenopausal based on their final menstrual period (FMP) and confirmed by 12 months of amenorrhea and follicle-stimulating hormone >30 IU/L.16

Anthropometric measurements

Body weight and height were measured with a BWB-800AS digital scale and a Tanita HR-100 height rod (Tanita Corporation of America Inc., Arlington Heights, IL, USA), respectively, while participants were wearing a hospital gown and no shoes. Body composition was measured by using dual-energy X-ray absorptiometry (GE-LUNAR Prodigy module; GE Medical Systems, Madison, WI, USA). Coefficient of variation and correlation for percentage of body fat (%BF) measured in 12 healthy subjects tested in our laboratory were 1.8% and r=0.99, respectively.

Resting energy expenditure and Thermic effect of food

REE and TEF were measured by indirect calorimetry (Deltatrac II metabolic cart; SensorMedics, Yorba Linda, CA, USA). REE was measured for 30 min after a 12-h overnight fast. Subjects had to rest quietly in the supine position for 20 min before the measurement. The first and last 5 min were excluded and only those obtained during 6–25 min were used in the calculation. The participant then consumed a standardized breakfast consisting of two slices of whole wheat bread (80 g), peanut butter (20 g), raspberry jam (20 g), cheddar cheese 27% milk fat (20 g) and orange juice (250 ml). The total energy content was 575 kcal (2400 kJ), and its food quotient was 0.89 (57% carbohydrates, 13% protein, 30% lipids). Subjects ate everything within 10 min. For postprandial EE, 15-min sampling periods were performed every 30 min for 3 h during the postprandial period.17 A mean value (in kcal/min) for each of the six postprandial EE measurements was calculated. The TEF was obtained by subtracting REE from postprandial EE for each of the mean values obtained for the six sampling periods. Total TEF was calculated by multiplying the mean value of each of the six sampling periods by 30 min. These six values were then added together to obtain TEF for the 180-min period. TEF expressed in percentage was also calculated as the increase in EE (over baseline REE), expressed as a percentage of the energy content of the test meal. EE was calculated according to the Weir equation.18 Coefficient of variation and correlation for the determination of REE with the Deltatrac II metabolic cart in our laboratory were 2.3% and r=0.98, respectively, as determined in 12 healthy subjects.

Physical activity energy expenditure

Multidirectional accelerometry units were used (Actical; Mini Mitter Co., Inc., Bend, OR, USA). The Actical has been validated to measure physical activity in adults19 and has shown better instrument reliability than other accelerometer models.20 It was used to estimate daily EE from physical activities and time spent at sedentary and moderate physical activity intensity. Participants were asked to wear the accelerometer upon waking up and took it off just before going to bed for 7 consecutive days. Such a duration was reported to result in 90% reliability for the measurement of PAEE in both male and female subjects.21 The accelerometer was worn over the right hip as it best predicts EE (r=0.92–0.97).22

Total energy expenditure

Total EE (TEE) was calculated by using the following formula:

where the factor 1.11 corresponds at the TEF, and was fixed at 10% of TEE.

Statistical analysis

SPSS was used for all analyses (version 17.0; SPSS Inc., Chicago, IL, USA). Two-way repeated-measures analyses of variance (ANOVA), controlled for fat mass (FM) and fat-free mass (FFM) at year 5, were used to determine main effects of time and menopausal status on EE variables. Post hoc tests were performed with Tukey–Kramer and adjustment was used for multiple comparisons. These analyses thus included data collected annually for 5 years. Only cases with complete data at all measurement points were retained. Paired comparison tests were performed to determine differences between year 0 and years before and after menopause onset. In these analyses, year 0 is considered the year within FMP (menopause onset). Data before and after menopause onset were expressed as the percent of the values at year 0, which was fixed at 100%. Data are presented as means±s.d. All effects were considered significant at P < 0.05.

Results

Characteristics of the participants

Baseline characteristics of participants are presented in Table 1. At the onset of the study, women were all premenopausal. By the end of year 5, 4% (n=4) were still premenopausal, 29% (n=26) were in the menopausal transition and 67% (n=61) had become postmenopausal. As reported previously, Abdulnour et al.7 reported significant increases for FM, %BF, trunk FM and visceral fat during the menopausal transition. No significant changes were observed for body weight and FFM after the 5-year follow-up.

Table 1 Characteristics of the whole sample of subjects at baseline

Menopausal status and energy expenditure changes over time

Women were divided post hoc based on their menopausal status at year 5: (1) women who remained premenopausal (n=4) and those classified in the menopausal transition at year 5 (n=26); (2) women classified as postmenopausal for <12 months (Post12 months, n=22); and (3) women who classified as postmenopausal for more than 12 months (Post>12 months, n=39). Considering the small number of women who remained premenopausal, they were combined with women who were classified to be in the menopausal transition. No significant differences were found throughout the study for body weight and body composition (Menopausal Transition, n=30) (data not shown). Postmenopausal status at year 5 in the Post12 months group was confirmed a posteriori. Women in this group were contacted after the completion of the 5-year data collection to confirm their menopausal status.

Baseline EE variables were not significantly different between Menopausal transition, Post12 months and Post>12 months groups (data not shown). Although Table 2 presents EE data for only years 1 and 5, analyses were performed using data from years 1 through 5. Significant main effects of time were observed for TEF, showing an overall increase for TEF during the 5-year follow-up for all groups (Table 2). Significant menopausal status × time interaction was observed for REE, revealing a significant increase in the Menopausal transition group only. Significant menopausal status × time interaction were also observed for PAEE and TEE, revealing a significant decrease in the Post>12 months group only. Because the accelerometry data can be influenced by whether time spent awake changed over time, we did two-way repeated-measures ANOVA to determine main effect of time and menopausal status on time spent awake. No significant main effect of time and menopausal status × time interaction were observed for this variable (data not shown). There was no main effect of menopausal status on any of the EE variables (Table 2).

Table 2 Energy expenditure variables in response to time and menopausal status at year 5 (only values at baseline and year 5 are presented)

Regression analyses were performed to investigate relations between changes in EE and those in body weight and composition. The only significant regression was observed between FFM and PAEE for the Post>12 months group (r2=0.16, P<0.05).

Effect of the menopausal transition on energy expenditure changes

To further analyze the effect of menopausal transition on EE variables, paired comparison tests were performed to investigate the differences between years relative to FMP in women who became postmenopausal by the end of the study. These data are expressed as the percent of the values at year 0, which was fixed at 100%, and are shown in Table 3. Year 0 was the year within the FMP (or menopause onset), year 1 was considered as 1 year after FMP and year −1 was considered as 1 year before FMP, and so on. There were no significant differences in PAEE and TEE in relation to menopause onset. REE was significantly higher at year +2, whereas TEF was significantly higher at year +1 relative to menopause onset. Moreover, TEF was significantly lower in the years preceding onset of menopause (−4 and −3), and %TEF was significantly lower at year −4. Furthermore, time spent in sedentary physical activity tended to increase across the menopausal transition years and was significantly higher at year −1. This variable continued to increase in the postmenopausal years (year +1 and +2) and was significantly higher at year +1. Regarding the time spent in moderate physical activity, it was higher at year −3 and decreased until the onset of menopause (year 0).

Table 3 Changes in energy expenditure before and since menopause onset (year 0)

Discussion

The present study provides longitudinal data on changes in EE that occur in women during the menopausal transition. We found that TEE was decreased in postmenopausal women, which was mostly explained by a decrease in PAEE. We also observed that the time spent in moderate physical activity was decreased and the time spent in sedentary physical activity was increased during the menopausal transition. Contrary to what was expected, REE remained stable in postmenopausal women and a significant increase was noted in women who were in the menopausal transition by year 5.

There are several possible explanations for the decrease of EE during the menopausal transition. First, TEE tends to decrease in advancing age resulting mainly from changes in REE and PAEE.10, 23, 24 Second, postmenopausal women no longer experience the luteal phase of the menstrual cycle, which is associated with a rise in EE.10 Third, the loss of FFM in postmenopausal women, which was reported previously,25, 26 appears to be related with lower REE.10 Finally, estrogens appear to play a role in the regulation of PAEE in both rodents and humans.12, 13 Indeed, estrogen deficiency can lead to weight gain in animals by decreasing spontaneous physical activity.13 One study conducted by Lovejoy et al.11 reported similar results to ours in 129 premenopausal women. In that study, the women (age: 47.2±0.2 years; BMI: 27.1±0.6 kg/m2; %BF: 40.9±0.9) were followed for 4 years and those who became postmenopausal by the end of the study showed a significant decrease in EE (sleeping EE, PAEE, spontaneous physical activity). In contrast to Lovejoy’s study, we did not observe a decline in REE. In a cross-sectional study of 65 pre- and postmenopausal women, Van Pelt et al.27 reported that the age-related decline in REE in sedentary women was not observed in women who exercise regularly. In this study, women had a relatively high level of fitness (33.8 ml O2 per kg per min) and a high physical activity level (1.7). In the Lovejoy et al. study,11 the mean physical activity level was 1.3,28 which is associated with a sedentary lifestyle.29 This difference in the level of physical activity can explain, in part, why we did not observe a decline in REE during the menopausal transition. Another explanation for this result is that no significant changes in FFM were noted, which appears to be related with changes REE.10

Similar to Lovejoy et al.,11 we observed a reduction in TEE of approximately 200 kcal per day in postmenopausal women, which could be enough to cause significant weight gain over time. However, although we observed a decrease in EE in postmenopausal women, the mean body weight changed minimally over time.7 This could be explained by a concomitant reduction in energy intake, which could offset the effects of a decrease in EE on energy balance.30

The major findings of this study are related to changes in PAEE and in time spent in physical activities at different intensities. The decrease in PAEE observed in postmenopausal women is consistent with the findings of other studies.5, 8, 11, 15, 31 In addition to the changes in PAEE, we also observed changes in time spent in sedentary and moderate physical activity. These results extend the findings from previous studies demonstrating that, during the menopausal transition, women tend to shift to a more sedentary lifestyle. Associations between physical activity and weight gain during the menopausal transition have been observed in other studies.2, 5, 15, 31 In the Healthy Women Study, a prospective study of middle-aged women, Owens et al.31 reported that women who had higher levels of physical activity at baseline had less weight gain over time. Moreover, women who increased their physical activity during the 3-year follow-up had the smallest increases in weight. In the SWAN study, Sternfeld et al.5 also found that physical activity was inversely associated with changes in body weight. Findings from several cross-sectional and longitudinal studies have suggested that regular physical activity may help to attenuate or prevent the tendency for weight gain and adverse changes in body composition that can occur during the menopausal transition.32, 33, 34 Indeed, it seems that regular physical activity, particularly at moderate to high intensity, could help to minimize changes in body weight and composition during the menopausal transition.5, 8, 15, 35 The most consistent behavioral factor contributing to weight gain during the menopausal transition seems to be a decrease in PAEE.

This study presents some limitations. First, the small sample size and the healthy homogenous population (healthy women with a BMI <30 kg/m2) limits the generalizability of our results. However, it is important to mention that 45% of the women aged between 40 and 59 years in the Canadian population present a BMI between 20 and 29 kg/m2. Second, women were tested yearly, and thus measurements were not taken exactly 12 months prior, during and 12 months after their final menstrual period. Third, although 67% of the women became postmenopausal by year 5, the relatively short duration of the follow-up, particularly during the postmenopausal period (2 years only), represents another limitation. Finally, we combined women who remained premenopausal (n=4) to those who were in the menopausal transition, resulting in the absence of a premenopausal control group. Nonetheless, the prospective design in a very well-characterized cohort of women allows for consideration of within-woman change and is more informative than cross-sectional design. Gold standard measures (DXA) for body composition and objective measures of EE were used. Finally, even if our population consisted of non-obese women, according to their BMI (WHO), 59% had a %BF >30 and 32% had a %BF35%, which are considered as overweight and obese, respectively, based on norms from the American College of Sports Medicine.36

Conclusion

In summary, this study suggests that menopausal transition is accompanied with a decline in EE mainly characterized by a decrease in PAEE and a shift to a more sedentary lifestyle. These results suggest that the participation in regular physical activity may represent a relevant strategy to attenuate the decline in EE as women approach and transition into menopause.

References

  1. 1

    Milewicz A, Tworowska U, Demissie M . Menopausal obesity—myth or fact? Climacteric 2001; 4: 273–283.

    CAS  PubMed  Google Scholar 

  2. 2

    Wing RR, Matthews KA, Kuller LH, Meilahn EN, Plantinga PL . Weight gain at the time of menopause. Arch Intern Med 1991; 151: 97–102.

    CAS  Article  Google Scholar 

  3. 3

    Guthrie JR, Dennerstein L, Dudley EC . Weight gain and the menopause: a 5-year prospective study. Climacteric 1999; 2: 205–211.

    CAS  Article  Google Scholar 

  4. 4

    Crawford SL, Casey VA, Avis NE, McKinlay SM . A longitudinal study of weight and the menopause transition: results from the Massachusetts Women’s Health Study. Menopause 2000; 7: 96–104.

    CAS  Article  Google Scholar 

  5. 5

    Sternfeld B, Wang H, Quesenberry CP, Abrams B, Everson-Rose SA, Greendale GA et al. Physical activity and changes in weight and waist circumference in midlife women: findings from the Study of Women’s Health Across the Nation. Am J Epidemiol 2004; 160: 912–922.

    Article  Google Scholar 

  6. 6

    Svendsen OL, Hassager C, Christiansen C . Age- and menopause-associated variations in body composition and fat distribution in healthy women as measured by dual-energy X-ray absorptiometry. Metabolism 1995; 44: 369–373.

    CAS  Article  Google Scholar 

  7. 7

    Abdulnour J, Doucet E, Brochu M, Lavoie JM, Strychar I, Rabasa-Lhoret R et al. The effect of the menopausal transition on body composition and cardiometabolic risk factors: a Montreal-Ottawa New Emerging Team group study. Menopause 2012; 19: 760–767.

    Article  Google Scholar 

  8. 8

    Sternfeld B, Bhat AK, Wang H, Sharp T, Quesenberry CP . Menopause, physical activity, and body composition/fat distribution in midlife women. Med Sci Sports Exerc 2005; 37: 1195–1202.

    Article  Google Scholar 

  9. 9

    Alfonzo-Gonzalez G, Doucet E, Bouchard C, Tremblay A . Greater than predicted decrease in resting energy expenditure with age: cross-sectional and longitudinal evidence. Eur J Clin Nutr 2006; 60: 18–24.

    CAS  Article  Google Scholar 

  10. 10

    Heymsfield SB, Gallagher D, Poehlman ET, Wolper C, Nonas K, Nelson D et al. Menopausal changes in body composition and energy expenditure. Exp Gerontol 1994; 29: 377–389.

    CAS  Article  Google Scholar 

  11. 11

    Lovejoy JC, Champagne CM, de Jonge L, Xie H, Smith SR . Increased visceral fat and decreased energy expenditure during the menopausal transition. Int J Obes (Lond) 2008; 32: 949–958.

    CAS  Article  Google Scholar 

  12. 12

    Wade GN, Zucker I . Modulation of food intake and locomotor activity in female rats by diencephalic hormone implants. J Comp Physiol Psychol 1970; 72: 328–336.

    CAS  Article  Google Scholar 

  13. 13

    Lightfoot JT . Sex hormones’ regulation of rodent physical activity: a review. Int J Biol Sci 2008; 4: 126–132.

    CAS  Article  Google Scholar 

  14. 14

    Lovejoy JC . Weight gain in women at midlife: the influence of menopause. Obes Manage 2009; 5: 52–56.

    Article  Google Scholar 

  15. 15

    Macdonald HM, New SA, Campbell MK, Reid DM . Longitudinal changes in weight in perimenopausal and early postmenopausal women: effects of dietary energy intake, energy expenditure, dietary calcium intake and hormone replacement therapy. Int J Obes Relat Metab Disord 2003; 27: 669–676.

    CAS  Article  Google Scholar 

  16. 16

    Soules MR, Sherman S, Parrott E, Rebar R, Santoro N, Utian W et al. Executive summary: Stages of Reproductive Aging Workshop (STRAW) Park City, Utah, July, 2001. Menopause 2001; 8: 402–407.

    CAS  Article  Google Scholar 

  17. 17

    Doucet E, Laviolette M, Imbeault P, Strychar I, Rabasa-Lhoret R, Prud’homme D . Total peptide YY is a correlate of postprandial energy expenditure but not of appetite or energy intake in healthy women. Metabolism 2008; 57: 1458–1464.

    CAS  Article  Google Scholar 

  18. 18

    Weir JB . New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 1949; 109: 1–9.

    Article  Google Scholar 

  19. 19

    Heil DP . Predicting activity energy expenditure using the Actical activity monitor. Res Q Exerc Sport 2006; 77: 64–80.

    Article  Google Scholar 

  20. 20

    Esliger DW, Tremblay MS . Technical reliability assessment of three accelerometer models in a mechanical setup. Med Sci Sports Exerc 2006; 38: 2173–2181.

    Article  Google Scholar 

  21. 21

    Matthews CE, Ainsworth BE, Thompson RW, Bassett DR . Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc 2002; 34: 1376–1381.

    Article  Google Scholar 

  22. 22

    Bouten CV, Sauren AA, Verduin M, Janssen JD . Effects of placement and orientation of body-fixed accelerometers on the assessment of energy expenditure during walking. Med Biol Eng Comput 1997; 35: 50–56.

    CAS  Article  Google Scholar 

  23. 23

    Ravussin E, Bogardus C . Relationship of genetics, age, and physical fitness to daily energy expenditure and fuel utilization. Am J Clin Nutr 1989; 49 (Suppl), 968–975.

    CAS  Article  Google Scholar 

  24. 24

    Starling RD . Energy expenditure and aging: effects of physical activity. Int J Sport Nutr Exerc Metab 2001; 11 (Suppl), S208–S217.

    Article  Google Scholar 

  25. 25

    Douchi T, Yamamoto S, Nakamura S, Ijuin T, Oki T, Maruta K et al. The effect of menopause on regional and total body lean mass. Maturitas 1998; 29: 247–252.

    CAS  Article  Google Scholar 

  26. 26

    Sowers M, Zheng H, Tomey K, Karvonen-Gutierrez C, Jannausch M, Li X et al. Changes in body composition in women over six years at midlife: ovarian and chronological aging. J Clin Endocrinol Metab 2007; 92: 895–901.

    CAS  Article  Google Scholar 

  27. 27

    Van Pelt RE, Jones PP, Davy KP, Desouza CA, Tanaka H, Davy BM et al. Regular exercise and the age-related decline in resting metabolic rate in women. J Clin Endocrinol Metab 1997; 82: 3208–3212.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. 28

    Lovejoy JC, Champagne CM, Smith SR, de Jonge L, Xie H . Ethnic differences in dietary intakes, physical activity, and energy expenditure in middle-aged, premenopausal women: the Healthy Transitions Study. Am J Clin Nutr 2001; 74: 90–95.

    CAS  Article  Google Scholar 

  29. 29

    Saris WH, Blair SN, van Baak MA, Eaton SB, Davies PS, Di Pietro L et al. How much physical activity is enough to prevent unhealthy weight gain? Outcome of the IASO 1st Stock Conference and consensus statement. Obes Rev 2003; 4: 101–114.

    CAS  Article  Google Scholar 

  30. 30

    Duval K, Prud'homme P, Rabasa-Lhoret R, Strychar I, Brochu M, Lavoie JM et al. Effects of the Menopausal Transition on Dietary Intake and Appetite. A MONET Group Study. EJCN 2012: Submitted.

  31. 31

    Owens JF, Matthews KA, Wing RR, Kuller LH . Can physical activity mitigate the effects of aging in middle-aged women? Circulation 1992; 85: 1265–1270.

    CAS  Article  Google Scholar 

  32. 32

    Kohrt WM . Menopause medicine: exercise and weight gain. Geriatrics 2009; 64: 28–29.

    PubMed  Google Scholar 

  33. 33

    Evans EM, Racette SB . Menopause and risk for obesity: how important is physical activity? J Womens Health (Larchmt) 2006; 15: 211–213.

    Article  Google Scholar 

  34. 34

    Astrup A . Physical activity and weight gain and fat distribution changes with menopause: current evidence and research issues. Med Sci Sports Exerc 1999; 31 (Suppl. 11), S564–S567.

    CAS  Article  Google Scholar 

  35. 35

    Simkin-Silverman LR, Wing RR, Boraz MA, Kuller LH . Lifestyle intervention can prevent weight gain during menopause: results from a 5-year randomized clinical trial. Ann Behav Med 2003; 26: 212–220.

    Article  Google Scholar 

  36. 36

    American College of Sports Medicine (ACSM). ACSM’s Resource Manual for Guidelines for Exercise Testing and Prescription. 4th edn. Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2001.

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Acknowledgements

We thank the participants for their devoted participation and the staff of Behavioral and Metabolic Research Unit (BMRU) for their contribution to this study. We especially want to thank Ann Beninato for her significant role in the collection of the data and overall study coordination. This study was supported by CIHR (Canadian Institute for Health Research) Grants: 63279 MONET study (Montreal-Ottawa New Emerging Team). K Duval is a recipient of the FRSQ (Fonds de la recherche en Santé du Québec) Doctoral support program. R Rabasa-Lhoret is a recipient of the FRSQ clinical researcher scholarship and holds the J-A DeSève chair.

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Duval, K., Prud'homme, D., Rabasa-Lhoret, R. et al. Effects of the menopausal transition on energy expenditure: a MONET Group Study. Eur J Clin Nutr 67, 407–411 (2013). https://doi.org/10.1038/ejcn.2013.33

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Keywords

  • energy balance
  • energy expenditure
  • menopausal transition
  • body composition

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