CARDIOVASCULAR JOURNAL OF AFRICA • Volume 27, No 6, November/December 2016
AFRICA
373
activity (GPAQ) may be limiting due to the misinterpretation of
light- and moderate-intensity activity, leading to falsely elevated
levels of reported daily physical activity.
40
While the change in parity independently influenced weight
gain, the use of hormonal contraceptives was not associated with
a change in body weight or body fat distribution in this study.
Previous studies have found significant increases in body weight
and central fat mass with the use of hormonal contraceptives,
41
but due to the lack of data regarding length of usage, it is difficult
to correctly estimate the effect of the hormonal contraceptive in
these women. In addition, SES and access to healthcare may
influence the choice, as well as the consistency of contraceptive
use in this group and dilute the possible impact on weight change.
A limitation of the study was that measurements were only
taken at two time points, which may limit our interpretation of
subtle changes within the time period. Therefore, acute or short-
term changes could not be measured. Even though the sample
size was limited, the longitudinal nature of this study contributes
to knowledge regarding the determinants of weight gain and
their impact over time in a population at high risk of obesity and
metabolic disease. Since only baseline dietary intake and physical
activity were measured, this would be vital to follow up in future
research studies.
Conclusion
This study showed that lower BMI and nulliparity in the younger
women were significant determinants of weight gain and
centralisation of body fat over 5.5 years. In addition, although
higher SES at baseline was associated with a smaller change in
body weight, improvements in SES over the follow-up period were
associated with greater weight gain. Many health programmes
are targeted at women of reproductive age (e.g. family planning
clinics). Accordingly, the introduction of weight-management
interventions in these clinics is recommended to prevent and
manage weight gain in these vulnerable young women, as well
as future generations due to the intergenerational transfer of
risk. Research to understand the relationship between alternative
measures of SES, including sanitation and housing, and weight
gain are required to guide future policy recommendations.
We thank the research volunteers for their participation in this study,
Nandipha Sinyanya for her fieldwork, Hendriena Victor for her technical
assistance, Linda Bewerunge for performing the DXA scans and Mark
Punyanitya for analysing the CT scans. This study was funded by the
Sugar Association of South Africa, the South African Medical Research
Council, the International Atomic Energy Agency and the National Research
Foundation of South Africa.
References
1.
Popkin BM, Slining MM. New dynamics in global obesity facing low-
and middle-income countries.
Obes Rev
2013;
14
: 11–20.
2.
Shisana O, Labadarios D, Rehle T, Simbayi L, Zuma K, Dhansay A,
et al
. The South African National Health and Nutrition Examination
Survey: SANHANES-1. HSRC Press, 2013 Aug 15: 1–4.
3.
Chantler S, Dickie K, Micklesfield LK, Goedecke JH. Longitudinal
changes in body fat and its distribution in relation to cardiometabolic
risk in black South African women.
Metab Syndr Relat Disord
2015;
13
(9): 381–388.
4.
Boggs DA, Palmer JR, Spiegelman D, Stampfer MJ, Adams-Campbell
LL, Rosenberg L. Dietary patterns and 14-y weight gain in African
American women.
Am J Clin Nutr
2011;
94
(1): 86–94.
5.
Brown WJ, Williams L, Ford JH, Ball K, Dobson AJ. Identifying the
energy gap: magnitude and determinants of 5-year weight gain in
midage women.
Obes Res
2005;
13
(8): 1431–1441.
6.
Ebrahimi-Mameghani M, Scott JA, Der G, Lean MEJ, Burns CM.
Changes in weight and waist circumference over 9 years in a Scottish
population.
Eur J Clin Nutr
2007;
62
(10): 1208–1214.
7.
Zamora D, Gordon-Larsen P, Jacobs DR, Popkin BM. Diet quality and
weight gain among black and white young adults: the Coronary Artery
Risk Development in Young Adults (CARDIA) study (1985 obesity
2005).
Am J Clin Nutr
2010;
92
(4): 784–793.
8.
Schulze MB, Fung TT, Manson JE, Willett WC, Hu FB. Dietary
patterns and changes in body weight in women.
Obesity
2006;
14
(8):
1444–1453.
9.
Rosell M, Appleby P, Spencer E, Key T. Weight gain over 5 years in
21966 meat-eating, fish-eating, vegetarian, and vegan men and women
in EPIC-Oxford.
Int J Obes Relat Metab Disord
2006;
30
(9): 1389–1396.
10. Hankinson AL, Daviglus ML, Bouchard C, Carnethon M, Lewis CE,
Schreiner PJ,
et al
. Maintaining a high physical activity level over 20
years and weight gain.
J Am Med Assoc
2010;
304
(23): 2603.
11. Monteiro CA, Moura EC, Conde WL, Popkin BM. Socioeconomic
status and obesity in adult populations of developing countries: a
review.
Bull World Health Org
2004;
82
(12): 940–946.
12. Coogan PF, Cozier YC, Krishnan S, Wise LA, Adams-Campbell LL,
Rosenberg L,
et al
. Neighborhood socioeconomic status in relation to
10-year weight gain in the Black Women’s Health Study.
Obesity
2012;
18
(10): 2064–2065.
13. Kac G, Benício MHDA, Velásquez-Meléndez G, Valente JG, Struchiner
CJ. Gestational weight gain and prepregnancy weight influence post-
partum weight retention in a cohort of Brazilian women.
J Nutr
2004;
134
(3): 661–666.
14. Rosenberg L, Palmer JR, Wise LA, Horton NJ, Kumanyika SK,
Adams-Campbell LL. A prospective study of the effect of childbearing
on weight gain in African-American women.
Obes Res
2003;
11
(12):
1526–1535.
15. Luoto R, Mannisto S, Raitanen J. Ten-year change in the associa-
tion between obesity and parity: results from the National FINRISK
Population Study.
Gend Med
2011;
8
(6): 399–406.
16. Wagenknecht LE, Magriples U, Langefeld CD, Kershaw TS, Scherzinger
AL,
et al.
Insulin sensitivity, insulin secretion, and abdominal fat: the
Insulin Resistance Atherosclerosis Study (IRAS) family study.
Am
Diabetes Assoc
2003;
52
(10): 2490–2496.
17. Liu J, Fox CS, Hickson DA, May WD, Hairston KG, Carr JJ,
et al
.
Impact of abdominal visceral and subcutaneous adipose tissue on
cardiometabolic risk factors: the Jackson Heart Study.
J Clin Endocrinol
Metab
2010;
95
(12): 5419–5426.
18. Lovejoy JC, Smith SR, Rood JC. Comparison of regional fat distribu-
tion and health risk factors in middle-aged white and African American
women: the Healthy Transitions study.
Obes Res
2001;
9
(1): 10–16.
19. Snijder MB, Dekker JM, Visser M, Yudkin JS, Stehouwer C, Bouter
LM,
et al
. Larger thigh and hip circumferences are associated with better
glucose tolerance: the Hoorn Study.
Obes Res
2003;
11
(1): 104–111.
20. Vorster HH, Venter CS, Wissing MP, Margetts BM. The nutrition and
health transition in the North West Province of South Africa: a review
of the THUSA (Transition and Health during Urbanisation of South
Africans) study.
Public Health Nutr
2007;
8
(5): 480–490.
21. Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socio-
economic status in developing countries: a systematic review.
Obes Rev