Resting metabolic rate and work efficiency of rural Beninese women: a 2-y longitudinal study

Ategbo, Eric Alain; Raaij, J.M.A. van; Koning, F. L. H. A. De; Hautvast, J.G.A.J.

doi:10.1093/ajcn/61.3.466

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…Ulijaszek, 1992;Webb, 1991). It should be noted that while the methods used for estimating energy expenditure are not very precise, the values for total daily energy expenditures obtained by this study are comparable with those reported for women from other subsistence populations (Alemu and Lindtjorn, 1995;Ategbo et al, 1995;Benefice et al, 1996;Bleiburg et al, 1981;Dufour, 1984;Edmundson and Edmundson, 1988;Katzmarzyk et al, 1994;Leonard et al, 1996;Norgan, 1996;Panter-Brick, 1992;Singh et al, 1989).…”

Section: Lack Of Significant Effects Of Energy Balancesupporting

confidence: 78%

Energetic factors and seasonal changes in ovarian function in women from rural Poland

Jasieńska

Ellison

2004

American J Hum Biol

113

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Female mammals can optimize their fitness by temporal suppression of reproductive function in response to unfavorable environmental conditions. Since reproduction is energetically demanding for a human female, ovarian function is expected to be sensitive to factors influencing energy availability and metabolism. Dieting and exercise in women from industrial countries, and low-calorie diet and workload in women from developing countries, are often associated with ovarian suppression. This study shows that in Polish rural women seasonal changes in workload correlate with seasonal changes in indices of ovarian function (progesterone measured in saliva samples collected daily for six menstrual cycles for each subject). Mean levels of energy expenditure of the most work demanding weeks of the summer exceeded mean levels of energy expenditure during winter by 37%. Energy intake in this population was sufficient throughout the year. During the summer, when physical work was most intense, low values of progesterone levels were observed (178.2 pmol/L in July and 182.2 pmol/L in August), indicating ovarian suppression. Mean progesterone levels rose to 234.6 pmol/L in October when levels of energy expenditure were lower due to cessation of harvest-related activities. As indicated by several causal models tested through path analysis, energy expenditure was the only variable responsible for suppressed progesterone levels during the summer. Variables describing the nutritional status and energy balance did not correlate significantly with progesterone levels; neither body weight nor body fat or seasonal changes of these variables seem to influence ovarian function in this population. Thus work-related energy expenditure does not need to lead to negative energy balance in order to cause suppression of reproductive function in women.

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Section: Lack Of Significant Effects Of Energy Balancesupporting

confidence: 78%

Energetic factors and seasonal changes in ovarian function in women from rural Poland

Jasieńska

Ellison

2004

American J Hum Biol

113

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“…Unfortunately for our comparative purposes, the measurements were made during the “hungry” season and the lower basal energy expenditure was viewed as an energy‐sparing adaptation during acute energy restriction (66). In contrast, a second African study of seasonal adaptation of metabolism among female Beninese farmers reported both pre‐ and postharvest‐adjusted REE levels that, when compared per kilogram of FFM, were comparable to the women in the present study, i.e., 0.023 kcal/kg of FFM/min in the Beninese women vs. 0.022 and 0.021 kcal/kg of FFM/min for the Nigerian and U.S. women, respectively (67).…”

Section: Discussionsupporting

confidence: 53%

Comparability of Resting Energy Expenditure in Nigerians and U.S. Blacks

et al. 2000

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LUKE, AMY, CHARLES N. ROTIMI, ADEBOWALE A. ADEYEMO, RAMON A. DURAZO-ARVIZU, T. ELAINE PREWITT, LISA MORAGNE-KAYSER, RE-GINA HARDERS, AND RICHARD S. COOPER. Comparability of resting energy expenditure in Nigerians and U.S. Blacks. Obes Res. 2000;8:351-359. Objective: To determine the influence of environmental factors on resting energy expenditure (REE) and its relationship to adiposity in two populations of West African origin, Nigerians and U.S. blacks. Research Methods and Procedures: REE and body composition were measured in a cross-sectional sample of 89 Nigerian adults (39 women and 50 men), and 181 U.S. black adults (117 women and 65 men). Both groups represent randomly selected population samples. REE was measured by indirect calorimetry after an overnight fast in both sites using the same instrument. Body composition was estimated using bioelectrical impedance analysis (BIA) in 72 Nigerians and 156 U.S. participants. Multivariate regression analysis was used to determine the significant predictors of REE. The analyses were repeated in a set of 17 Nigerians and 28 U.S. blacks in whom body composition was measured using deuterium dilution. Results: U.S. black adults were significantly heavier and had both more fat-free mass (FFM) and body fat than Nigerians. FFM was the only significant determinant of REE in both population groups, whether body composition was measured using BIA or deuterium dilution. The relationship between REE and body composition did not differ by site. There was no relationship between REE and adiposity.Discussion: Differences in current environmental settings did not impact REE. The differences observed in mean levels of body fat between Nigerians and U.S. blacks were not the result of differences in REE adjusted for body composition.

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“…Abdullah and Wheeler, 1985;Ferguson et al, 1989;Leonard, 1989;Ferro-Luzzi et al, 1990;Schultink et al, 1990;Atgebo et al, 1995;Kigutha et al, 1995;Bentley et al, 1998), few studies have investigated this phenomenon in detail. Our aim was to study seasonality in the consumption of various foods in rural Malawi, and to identify those food items, fluctuation in whose consumption contributed most to the rainy-season decrease in energy intake.…”

Section: Discussionmentioning

confidence: 99%

“…In such circumstances, the rainy season is characterised by considerably lower energy intakes than in the rest of the year. As a result, the body weight of adults decreases, the growth of children is compromised, women gain less weight during pregnancy, and foetal birth weight is lower (Prentice et al, 1981;Prentice et al, 1983;Ferro-Luzzi et al, 1990;Branca et al, 1993;Pastore et al, 1993;Atgebo et al, 1995;Kigutha et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

Seasonal variation in the dietary sources of energy for pregnant women in Lungwena, rural Malawi

Ndekha

Kulmala

Vaahtera

et al. 2000

Ecology of Food and Nutrition

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We conducted a nutritional survey to describe monthly variation in food consumption among subsistence farmers in Malawi, Southeastern Africa. Of special interest was the identification of foods whose intake changes contributed most to the seasonal fluctuation of overall energy intake. For this purpose, dietary intakes of 593 pregnant women were analysed with 24-h recall methodology. Mean daily energy intakes varied from 1520 kcal/woman in February (rainy season) to 2250 kcal/woman in April (post-harvest period). On average, maize provided two-thirds (63%) of the energy. Other important sources were roots and tubers (11%), fish (5%), fruit (4%), legumes (4%) and vegetables (3%). The rainy season decrease in energy intakes was associated with a marked reduction in the consumption of roots and tubers, fruit, legumes and vegetables. Storage of selected food items and development of agricultural market could alleviate nutritional problems associated with climatic seasonality in rural Malawi.

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Resting metabolic rate and work efficiency of rural Beninese women: a 2-y longitudinal study

Cited by 11 publications

References 3 publications

Energetic factors and seasonal changes in ovarian function in women from rural Poland

Energetic factors and seasonal changes in ovarian function in women from rural Poland

Comparability of Resting Energy Expenditure in Nigerians and U.S. Blacks

Seasonal variation in the dietary sources of energy for pregnant women in Lungwena, rural Malawi

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