Keywords
Menopause, Food consumption, Overweight, Obesity, Women, Body fat
This article is included in the Health Services gateway.
This article is included in the The Multifaceted Aspects of Menopause collection.
This study aimed to assess the factors correlated with the percentage of body fat, overweight, and obesity in menopausal adult women.
In this retrospective cohort study, data were extracted from the medical records of women aged 40 to 60 years, encompassing both premenopausal and menopausal phases. The variables under consideration comprised anthropometric indicators like weight, height, age, percentage of body fat, as well as sociodemographic elements including place of origin, marital status, physical activity, frequency of visits to nutritional consultations, and dietary consumption patterns. Additionally, the body mass index (BMI) was computed to determine overweight and obesity.
The application of multiple regression analysis unveiled that a range of 8 to 16 nutritional consultations (Relative Risk (RR): 1.78 [95% Confidence Interval (CI): 1.42-2.25]; p < 0.001), along with abstaining from coffee consumption (RR = 8.13 [95% CI: 1.22-54.31]; p < 0.031), exhibited associations with lower body fat among menopausal women.
The absence of coffee consumption and engagement in nutritional consultations were linked to diminished levels of body fat in menopausal women. Consequently, it is imperative to comprehensively evaluate middle-aged women to timely address overweight or obesity with suitable nutritional guidance and recommendations.
Menopause, Food consumption, Overweight, Obesity, Women, Body fat
Menopause signifies the phase during which ovarian activity ceases, leading to the discontinuation of ovulation and impeding fertilization. This transition is accompanied by notable hormonal, physical, and psychological transformation. Numerous women encountering menopausal symptoms undergo a discernible deterioration in their quality of life, particularly those with excess weight, obesity, and exposure to adverse environmental influences.1,2
The global prevalence of overweight and obesity is widespread. Projections suggest that the prevalence of obesity in women is poised to exceed 20% by 2025.3 Obesity is a comorbidity that increases the risk to many disorders. From a physiological perspective, the adverse ramifications of obesity are intricately linked to dysfunctions within adipose tissue, engendering perturbations in the hormonal milieu, encompassing sexual hormones.4
The menopausal transition renders women susceptible to weight gain,5 a phenomenon observed irrespective of prior body composition, size, geographical locale, or ethnicity.6 Concomitantly, alterations in fat mass distribution arise due to hormonal perturbations, encompassing heightened levels of androgens,7 and follicle stimulating hormone (FSH).8 Noteworthy is the observation that postmenopausal women harboring a healthy body mass index (BMI) yet exhibiting elevated adiposity in the trunk region and diminished adiposity in the lower extremities, manifest heightened vulnerability to cardiovascular ailments.9,10 Certain investigations posit that women who maintain a low BMI in the premenopausal phase, engage in regular physical activity, adhere to a healthful diet, and possess higher educational attainment, tend to sustain a favorable distribution of body fat subsequent to menopause.10 Conversely, multiparity stands recognized as a risk factor for obesity development among postmenopausal women.11 Strategies encompassing hormone replacement therapy administered to premenopausal women with elevated BMI, exhibit a higher risk of venous thromboembolism, notably pronounced within the initial year of treatment.12
The assessment of coping strategies concerning the repercussions of menopause necessitates a comprehensive exploration of the determinants linked to heightened body fat accumulation. Such endeavors hold crucial significance in facilitating proficient assistance for menopausal women,13 underscoring the imperative nature of elucidating distinct impediments obstructing the assimilation of healthful lifestyle practices among postmenopausal individuals.14 Hence, the primary objective of this study was to evaluate the determinants linked with the proportion of body fat, overweight, and obesity among a cohort of menopausal adult women aged 40 to 60 years. This investigation was conducted within the premises of a private clinic situated in Lima, Peru.
The population consisted of premenopausal and menopausal women aged 45 to 60 years, who attended a nutrition consultation at a clinic in Lima-Perú between 2020 and 2021.
Inclusion criteria: women who attended the clinic and had complete data; and exclusion criteria were patients with other comorbidities.
The medical records of women who attended a nutritional consultation at a clinic in Lima and were seen by a clinical nutritionist were reviewed. Premenopausal and menopausal women attended every week for medical attention and nutritional care. The nutritional intervention was adjusted to the characteristics and needs of the patients.
The information was taken from the patients’ consultation records. To obtain the sociodemographic variables, the nutritional histories were reviewed to obtain place of origin, age, district of origin and occupation.
Because this is a secondary database study, we did not participate in subject selection. Data were taken from the entire population that participated in the nutritional care. The researchers received the complete and coded database.
This study used dependent sample data, so exposure was assessed for the entire sample. It was verified that all participants at the beginning of nutritional care remained until the last nutritional care.
The plausibility of the data was verified before statistical processing. The cleaning of the database did not identify any implausible or missing data, so it was not necessary to perform any type of imputation.
After data cleaning, the statistical analysis was carried out using STATA (StataCorp. 2021). Numerical variables were analyzed for data distribution and to evaluate assumptions for inferential testing. Normality was assessed using graphical and statistical methods.
In the descriptive analysis of numerical variables, means and standard deviation were determined. Categorical variables were described in frequencies and percentages. The variable Body Fat Variation was constructed as dependent and to respond to the main objective of the study. Hypothesis testing was performed with the T-student statistic for the numerical variables weight and body fat. Hypothesis testing for categorical variables was performed with the Fisher’s exact statistic. The inferential analysis was performed with a linear regression model, including the body fat variation variable as an outcome, and entering the other variables of interest into the multivariate model. A p value of less than 0.05 was considered statistically significant.
The present project adhered rigorously to the ethical tenets set forth in the Declaration of Helsinki. Data were procured from the repository of the designated reference center where the study was executed, emanating from routine clinical nutritional care procedures. Patients who attended nutritional care consent to participate in nutritional treatment as part of the Clinic’s procedures. Patient identities were safeguarded through the utilization of codes that eschewed any potentially identifying information, thereby ensuring the stringent maintenance of confidentiality. Access to these anonymized data was exclusively granted to the research investigators. Ethical clearance for this study was duly obtained from the Ethics Committee of Norbert Wiener University (Application No. 907-2021).
In total, 58 women were evaluated, more than half of the women were between 52 and 60 years of age (53.4%), were not housewives (70.2%), and received between 8 and 16 consultations (70.2%). A third of participants consumed tobacco (36.2%), consumed coffee (77.6%), consumed water (91.4%), consumed soft drinks (43.1%), consumed fish (87.7%), consumed chicken (94.7%), consumed beef (80.7%), consumed offal (22.8%), consumed eggs (100%), consumed pork (38.6%), consumed dairy products (96.5%), and were physically active (41.1%). BMI values changed (initial BMI-final BMI), Normal (19%-39.7%), Overweight (39.7%-34.5%), Obesity (41.3%-25.8%) (see Table 1).
Characteristics | N(%) |
---|---|
Age (years) | |
42-51 | 27(46.6) |
52-60 | 31(53.4) |
Occupation | |
Homemaker | 17(29.8) |
Not homemaker | 40(70.2) |
No. of consultations | |
2 to 7 | 27(46.6) |
8 to 16 | 31(53.4) |
Alcohol consumption | |
Yes | 21(36.2) |
No | 37(63.8) |
Tobacco consumption | |
Yes | 9(15.5) |
No | 49(84.5) |
Coffee consumption | |
Yes | 45(77.6) |
No | 13(22.4) |
Water consumption | |
Yes | 53(91.4) |
No | 5(8.6) |
Soda consumption | |
Yes | 25(43.1) |
No | 33(56.9) |
Fish consumption | |
Yes | 50(87.7) |
No | 7(12.3) |
Chicken consumption | |
Yes | 54(94.7) |
No | 3(5.3) |
Beef consumption | |
Yes | 46(80.7) |
No | 11(19.3) |
Viscera consumption | |
Yes | 13(22.8) |
No | 44(77.2) |
Egg consumption | |
Yes | 57(100) |
No | 0 |
Pork consumption | |
Yes | 22(38.6) |
No | 35(61.4) |
Dairy consumption | |
Yes | 55(96.5) |
No | 2(3.5) |
Physical activity | |
Yes | 23(41.1) |
No | 33(58.9) |
Initial BMI* | |
Normal | 11(19.0) |
Overweight | 23(39.7) |
Obesity | 24(41.3) |
Final BMI* | |
Normal | 23(39.7) |
Overweight | 20(34.5) |
Obesity | 15(25.8) |
Table 2 shows a considerable decrease in weight and body fat when comparing the measurements at the beginning and at the end of the nutritional consultations, a difference that is statistically significant.
Characteristics | Initial | Final | Difference | p |
---|---|---|---|---|
Weight | 75.9±1.60 | 70.4±1.5 | -5.46 | <0.001 |
Body fat | 40.1±0.73 | 37.1±0.8 | -3.05 | <0.001 |
The sole variable demonstrating a significant association with the reduction in body fat percentage was the frequency of nutritional consultations falling within the range of 8 to 16 sessions (p<0.05) (Table 3).
Multiple regression analysis shows the variables nutritional consultation and no coffee consumption to be associated with decreased body fat (p<0.05) (Table 4).
Variables | Bivariate analysis | Multiple regression* | ||||
---|---|---|---|---|---|---|
RR | CI 95% | p | RR | CI 95% | p | |
Age (years) | 0.89 | 0.73-1.07 | 0.213 | 0.97 | 0.81-1.16 | 0.751 |
Occupation | ||||||
Homemaker | Ref. | Ref. | ||||
Not homemaker | 0.46 | 0.07-3.15 | 0.419 | 4.26 | 0.82-22.27 | 0.084 |
Nutritional consultation | 0.64 | 0.52-0.59 | <0.001 | 1.78 | 1.42-2.25 | <0.001 |
Consumes water | ||||||
Yes | Ref. | Ref. | ||||
No | 0.42 | 0.02-9.49 | 0.58 | 1.78 | 0.10-31.64 | 0.688 |
Consumes alcohol | ||||||
No | Ref. | Ref. | ||||
Yes | 1.68 | 0.27-10.36 | 0.57 | 1.27 | 0.25-6.56 | 0.77 |
Consumes soda | ||||||
No | Ref. | Ref. | ||||
Yes | 0.87 | 0.15-5.08 | 0.871 | 1.39 | 0.28-6.83 | 0.677 |
Consumes coffee | ||||||
Yes | Ref. | Ref. | ||||
No | 0.11 | 0.01-0.81 | 0.031 | 8.13 | 1.22-54.31 | 0.031 |
Consumes pork | ||||||
No | Ref. | Ref. | ||||
Yes | 0.31 | 0.05-1.86 | 0.194 | 4.27 | 0.81-22.42 | 0.084 |
Does physical activity | ||||||
No | Ref. | Ref. | ||||
Yes | 0.83 | 0.13-5.24 | 0.842 | 3.04 | 0.65-14.30 | 0.156 |
More than half of the women were between 52 and 60 years of age and the foods with the highest consumption were coffee (77.6%), water (91.4%), fish (87.7%), chicken (94.7%), beef (80.7%), eggs (100%) and dairy products (96.5%). Factors associated with decreased body fat were having between 8 to 16 nutritional consultations (RR:1.78; p<0.001) and no coffee consumption (RR:8.13; p<0.031).
The entry to menopause comes with an imbalance of estrogen and androgens levels leading to impaired energy metabolism. These hormonal changes lead to the increase in adipose tissue that is key to overweight and obesity.15 In this study 60% of the patients were overweight and obese, the patients were admitted to a feeding regimen, according to the answers given to the clinical nutritionist in charge of the care, and consumption alternatives were offered. Weight gain is common during the menopausal transition process and women who are already obese or overweight tend to gain more weight when they reach and during menopause. Nutritionally, this should be addressed by reducing caloric intake and promoting physical activity and other good lifestyles.16 Authors such as Ko and Jung (2020) suggest some foods as part of the diets to appropriately and timely address postmenopausal women.17
Dmitruk et al. (2018) found that the perimenopausal group had higher values of body mass, hip circumference, and most skinfolds. Postmenopausal women presented higher body fat percentage and for the lower lean tissue, soft tissue, and total body water content. The researchers found that the highest proportion of obese women was found in the postmenopausal group, where 40% of them presented visceral obesity. Thus, menopause contributed to changes in the distribution of fat tissue.18
In this study it was found that women who received between 8 to 16 nutritional consultations had a lower amount of fat mass, which indicates that the advice of a nutrition professional would help to avoid fat accumulation in postmenopausal women. Studies have shown that nutritional consultations followed by adherence to low-calorie diets have also had a large effect on weight loss.19–21
Our results showed that not consuming coffee (RR=8.13 [95% CI: 1.22-54.31]; p<0.031), is associated with lower body fat among menopausal women. This is in line with previous studies that indicate a link between coffee and obesity22 and other chronic conditions such as vascular problems in menopausal women.23 The explanatory mechanism by which overweight or obesity is present could be because coffee is a product that contains mainly caffeine and some studies suggest that constant and prolonged caffeine consumption impacts the quantity and quality of sleep.24,25 Scientific evidence indicates that lack of sleep is a risk factor for several types of metabolic problems, including obesity. The rationale for this is that when individuals get too little sleep, they alter the release of multiple hormones, including cortisol, whose increase causes hyperglycemia and thus insulin activates lipogenesis.26 In this study, the participants may have different frequencies of consumption, amounts of coffee ingested, type of coffee consumed, time of consumption, amount of sugar, among other aspects of eating habits. Therefore, further studies are needed to identify the quantity and time of consumption of caffeine-containing beverages in pre- and post-menopausal women.
As a limitation, we did not identify the specific intervention that each of the participants received, so that the benefit of the diet plan and recommendations provided by the professional nutritionist could alter the results by increasing or decreasing the strength and direction of the association. However, the professional nutritionist followed an institutional protocol for the nutritional management of patients.
Another limitation of the study is that there was no data on the number of calories ingested and intensity of the physical activity performed by each patient. These particularities may modify the strength and direction of the association. Based on our data, we provide indications of the possible positive effect of following a structured diet and performing physical activity.
The abstention from coffee consumption and engagement in nutritional consultations have been found to correlate with a reduction in body fat among menopausal women. The adoption of low-carbohydrate and low-fat dietary regimens may offer efficacy in the context of body fat reduction in pre and postmenopausal women.
Figshare: Food consumption in menopausal, https://doi.org/10.6084/m9.figshare.23929638.v1. 27
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?
No
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Obstetrics & Gynaecology
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Human biology, health, and nutrition
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 1 23 Oct 23 |
read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)