Abstract
Objectives
To characterize national trends in prepregnancy body mass index from 2016 to 2024 across U.S. racial and ethnic groups, with particular attention to normal weight prevalence at pregnancy entry.
Methods
We conducted a retrospective population-based analysis of 32,726,128 live births using CDC National Vital Statistics System Natality data from 2016 through 2024. Prepregnancy BMI was calculated from self-reported height and weight on birth certificates. Obesity was defined as BMI ≥30.0 kg/m2 for all groups except Asian mothers, for whom BMI ≥25.0 kg/m2 was applied per established ethnicity-specific metabolic risk thresholds.
Results
By 2024, normal weight prevalence had fallen below 50 % for all racial and ethnic groups except Asian mothers, who nonetheless demonstrated the steepest downward trajectory. Obesity prevalence increased steadily across all groups while normal weight declined universally. Non-Hispanic Native Hawaiian or Other Pacific Islander mothers had the highest absolute obesity prevalence at 51.6 %. Applying ethnicity-appropriate thresholds, obesity among Asian mothers reached 41.4 % – exceeding Non-Hispanic White and Hispanic mothers – representing the largest relative increase between 2016 and 2024.
Conclusions
Between 2016 and 2024, the U.S. obstetric population experienced broad metabolic deterioration characterized by rising obesity and erosion of normal weight as the normative baseline at pregnancy entry. Ethnicity-specific BMI thresholds reveal Asian mothers as a rapidly emerging high-risk population, underscoring the need for system-level interventions and recalibrated preconception metabolic strategies.
Introduction
Maternal obesity is a well-established risk factor for adverse pregnancy outcomes, including gestational diabetes, hypertensive disorders of pregnancy, cesarean delivery, and both short- and long-term cardiometabolic morbidity for mother and offspring [1], [2], [3], [4]. Large observational studies and meta-analyses have consistently demonstrated graded increases in obstetric and neonatal risk with increasing body mass index (BMI) across diverse populations and healthcare systems [5], [6], [7].
National surveillance data based on birth certificates indicate that obesity among reproductive-aged women in the United States has increased steadily over several decades [8], [9], [10], [11]. While prior analyses documented rising obesity prevalence across states and racial and ethnic groups [9], [10], [11], [12], [13], [14], [15], [16], much of this literature emphasizes cross-sectional burden rather than longitudinal changes in the underlying BMI distribution. This approach may obscure population-level structural shifts, particularly the contraction of normal weight status as a decreasing proportion of women enter pregnancy within recommended BMI ranges [17]. From a perinatal epidemiology perspective, the declining prevalence of normal prepregnancy weight represents the erosion of a protective baseline rather than simply the accumulation of extreme BMI categories. We term this phenomenon the “vanishing normal weight”, a population-level trend where the healthy weight category shrinks not merely due to the expansion of one specific risk group, but as a systemic loss of the normative baseline.
An additional limitation of conventional surveillance is the uniform application of standard BMI thresholds. Substantial evidence indicates that Asian populations experience obesity-related metabolic dysfunction at lower BMI levels than White or Black populations due to differences in body composition and visceral adiposity [18], [19], [20], [21]. Consequently, the World Health Organization and national expert groups recommend lower BMI cut points for defining obesity in Asian populations to avoid underestimating metabolic risk [19], [20], [21], [22], [23].
The objective of this study was to examine national trends in prepregnancy BMI from 2016 through 2024 across major U.S. racial and ethnic groups. We utilized multiple complementary visual frameworks – interrogating absolute prevalence, relative growth, and threshold behavior – to reveal structural changes in maternal metabolic health over time.
Methods, study design and data source
We conducted a retrospective population-based analysis using publicly available Centers for Disease Control and Prevention (CDC) Natality data, including all live births in the United States from 2016 through 2024 [24]. Maternal race and ethnicity were obtained from birth certificate data and categorized into seven mutually exclusive groups: Non-Hispanic (NH) American Indian or Alaska Native, NH Asian, NH Black, NH Native Hawaiian or Other Pacific Islander, NH White, NH More than one race, and Hispanic of all races.
BMI classification
Prepregnancy BMI was calculated from self-reported height and weight recorded on the birth certificate. Records with missing height or weight, or implausible values resulting in extreme outliers, were handled according to standard CDC data cleaning and imputation protocols for the Natality file. For all racial and ethnic groups except Asian mothers, BMI categories followed standard CDC definitions. For Asian mothers, obesity was defined as BMI ≥25.0 kg/m2, consistent with World Health Organization expert consultation guidance and national consensus recommendations recognizing elevated metabolic risk at lower BMI levels in Asian populations [19], [20], [21], [22], [23]. This approach limits direct numerical comparability of obesity prevalence across racial and ethnic groups and is intended to improve within-group risk identification and population-level surveillance rather than to imply biological equivalence across groups.
Statistical analysis and descriptive frameworks
Annual prevalence estimates for obesity and normal weight were calculated by race and ethnicity from 2016 through 2024. Relative change in obesity prevalence between 2016 and 2024 was expressed as relative risk with 95 % confidence intervals. Changes in normal weight prevalence were evaluated descriptively as absolute percentage-point differences relative to the 2016 baseline. To aid interpretation of population-level trends, we applied complementary descriptive frameworks used to characterize relative change, cumulative loss, and threshold behavior in population distributions. Relative changes in obesity prevalence were indexed to the 2016 baseline [25]. Changes in normal weight prevalence were evaluated using a baseline-referenced loss framework [26]. In addition, trajectories of normal weight prevalence were evaluated relative to the 50 % threshold [27]. These approaches were used solely for descriptive interpretation and do not imply causality or prediction.
Results
The analysis included 32,726,128 live births in the United States from 2016 through 2024. Annual prevalence of prepregnancy obesity by maternal race and ethnicity is presented in Table 1 and Figure 1. By 2024, normal weight prevalence approached or fell below 50 % for all racial and ethnic groups except Asian mothers.
Annual prevalence of prepregnancy obesity by maternal race and ethnicity, United States, 2016–2024.
| Year | NH AI/AN | Asian | NH black | Hispanic | NH more than 1 race | NH NHOPI | NH white |
|---|---|---|---|---|---|---|---|
| 2016 | 38.0 % (11,732/30,869) | 29.7 % (74,603/250,831) | 36.3 % (196,533/541,014) | 28.9 % (257,367/889,905) | 28.4 % (22,567/79,339) | 44.9 % (4,021/8,949) | 24.0 % (489,086/2,035,639) |
| 2017 | 39.1 % (11,522/29,440) | 31.4 % (77,804/247,458) | 36.9 % (200,696/543,875) | 30.1 % (262,668/873,729) | 29.7 % (24,033/80,867) | 47.3 % (4,229/8,942) | 24.9 % (491,341/1,973,740) |
| 2018 | 39.9 % (11,367/28,524) | 33.4 % (80,790/241,796) | 38.0 % (204,585/538,651) | 31.3 % (270,521/863,522) | 30.4 % (25,091/82,414) | 47.0 % (4,285/9,111) | 25.8 % (500,358/1,941,414) |
| 2019 | 40.9 % (11,441/27,946) | 34.4 % (82,562/240,313) | 39.1 % (209,511/536,314) | 32.4 % (279,731/863,044) | 31.5 % (26,099/82,809) | 48.1 % (4,511/9,387) | 26.6 % (504,931/1,901,101) |
| 2020 | 42.3 % (11,130/26,325) | 36.4 % (80,506/220,970) | 40.3 % (210,083/521,922) | 33.6 % (284,248/846,376) | 32.7 % (27,120/82,981) | 49.9 % (4,611/9,236) | 27.3 % (501,381/1,835,053) |
| 2021 | 41.9 % (10,783/25,724) | 38.4 % (82,842/215,918) | 41.0 % (208,813/509,792) | 34.6 % (299,141/864,418) | 33.4 % (28,569/85,423) | 50.3 % (4,598/9,134) | 28.0 % (526,652/1,880,218) |
| 2022 | 43.6 % (11,007/25,263) | 39.7 % (87,654/220,520) | 41.6 % (209,258/503,037) | 35.3 % (322,195/913,206) | 34.0 % (29,503/86,843) | 50.4 % (4,840/9,612) | 28.8 % (527,957/1,833,213) |
| 2023 | 43.9 % (10,587/24,089) | 41.0 % (88,669/216,423) | 42.1 % (202,832/482,103) | 35.6 % (326,118/915,963) | 34.4 % (30,084/87,504) | 51.3 % (4,970/9,681) | 29.3 % (520,368/1,777,723) |
| 2024 | 43.4 % (10,160/23,405) | 41.4 % (93,893/226,854) | 42.4 % (195,814/461,927) | 35.7 % (338,505/948,271) | 34.2 % (30,644/89,501) | 51.6 % (4,889/9,481) | 29.5 % (521,129/1,767,076) |
-
Data represent the percentage and count (n/N) of mothers with prepregnancy obesity for each year. Obesity was defined as a BMI ≥30.0 kg/m2 for all racial and ethnic groups, with the exception of Asian mothers, for whom a BMI ≥25.0 kg/m2 was defined for obesity. NH, non-hispanic; AI/AN, american indian/alaska native; NHOPI, native hawaiian or other pacific islander; BMI, body mass index.

Annual prevalence of prepregnancy obesity by maternal race and ethnicity, United States, 2016–2024. Annual prevalence trends of prepregnancy obesity. The solid black line represents the TOTAL population average. Obesity is defined as BMI ≥30.0 kg/m2 for all groups except Asian mothers (BMI ≥25.0 kg/m2). The Asian trend line demonstrates a rapid ascent, crossing the trajectories of hispanic and multiracial mothers to approach the high-risk cluster of non-hispanic black and AI/AN populations. The x-axis ticks represent the study years 2016–2024; labels on the right indicate the final prevalence in 2024.
Across the study period, obesity prevalence increased in every racial and ethnic group. In 2016, obesity prevalence ranged from 24.0 % among Non-Hispanic White mothers to 44.9 % among Non-Hispanic Native Hawaiian or Other Pacific Islander mothers. By 2024, prevalence ranged from 29.5 % among Non-Hispanic White mothers to 51.6 % among Non-Hispanic Native Hawaiian or Other Pacific Islander mothers. Among Asian mothers, using an obesity threshold of BMI ≥25.0 kg/m2, obesity prevalence increased from 29.7 % in 2016 to 41.4 % in 2024.
Relative changes in obesity prevalence between 2016 and 2024 are summarized in Table 2. Asian mothers experienced the largest relative increase (relative risk 1.39; 95 % CI 1.38–1.40). Relative increases were also observed among Hispanic mothers (RR 1.23; 95 % CI 1.23–1.24), Non-Hispanic White mothers (RR 1.23; 95 % CI 1.22–1.23), Non-Hispanic mothers of more than one race (RR 1.20; 95 % CI 1.19–1.22), Non-Hispanic Black mothers (RR 1.17; 95 % CI 1.16–1.17), Non-Hispanic Native Hawaiian or Other Pacific Islander mothers (RR 1.15; 95 % CI 1.11–1.18), and Non-Hispanic American Indian or Alaska Native mothers (RR 1.14; 95 % CI 1.12–1.17).
Relative change in prepregnancy obesity prevalence by maternal race and ethnicity, United States, 2016–2024.
| Race/Ethnicity | 2016 rate (n/total) | 2024 rate (n/total) | Relative risk (95 % CI) |
|---|---|---|---|
| Asian | 29.7 % (74,603/250,831) | 41.4 % (93,893/226,854) | 1.39 (1.38–1.40) |
| Hispanic | 28.9 % (257,367/889,905) | 35.7 % (338,505/948,271) | 1.23 (1.23–1.24) |
| All races | 26.1 % (1,002,400/3,836,546) | 32.1 % (1,133,032/3,526,515) | 1.23 (1.23–1.23) |
| NH white | 24.0 % (489,086/2,035,639) | 29.5 % (521,129/1,767,076) | 1.23 (1.22–1.23) |
| NH more than 1 race | 28.4 % (22,567/79,339) | 34.2 % (30,644/89,501) | 1.20 (1.19–1.22) |
| NH black | 36.3 % (196,533/541,014) | 42.4 % (195,814/461,927) | 1.17 (1.16–1.17) |
| NH NHOPI | 44.9 % (4,021/8,949) | 51.6 % (4,889/9,481) | 1.15 (1.11–1.18) |
| NH AI/AN | 38.0 % (11,732/30,869) | 43.4 % (10,160/23,405) | 1.14 (1.12–1.17) |
-
Comparison of obesity prevalence between the 2016 baseline and 2024, ranked by the magnitude of relative growth. Obesity was defined as a BMI ≥30.0 kg/m2 for all racial and ethnic groups, with the exception of Asian mothers, for whom a BMI ≥25.0 kg/m2 was defined for obesity. RR, relative risk; CI, confidence interval; NH, non-hispanic; AI/AN, american indian/alaska native; NHOPI, native hawaiian or other pacific islander; BMI, body mass index.
Longitudinal distributions of prepregnancy BMI categories by race and ethnicity are shown in Figure 2. Multidimensional comparisons of obesity prevalence in 2016 and 2024 are presented in Figure 3. Normal weight prevalence declined over time in all groups. Indexed trends in obesity prevalence, standardized to 2016 values, are shown in Figure 4. Absolute changes in normal weight prevalence relative to the 2016 baseline are displayed in Figure 5, demonstrating cumulative declines across all racial and ethnic groups. Changes in the proportion of births occurring among mothers with normal weight relative to the 50 % threshold are illustrated in Figure 6.

Distribution of prepregnancy BMI categories by maternal race and ethnicity, United States, 2016–2024. Longitudinal trends in the prevalence of four BMI categories by maternal race and ethnicity: Underweight (<18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obesity (≥30.0 kg/m2). Standard BMI thresholds were applied for all groups except Asian mothers, for whom obesity was defined as BMI ≥25.0 kg/m2 to reflect ethnicity-specific metabolic risk; consequently, the conventional “overweight” category (25.0–29.9 kg/m2) is subsumed into the “obesity” category for this population. Normal weight prevalence declined across all racial and ethnic groups over the study period.

Expansion of prepregnancy obesity prevalence by maternal race and ethnicity, United States, 2016 vs. 2024. Radar plot illustrating the multidimensional expansion of the obesity epidemic. The inner grey polygon represents the prevalence in 2016, and the outer red polygon represents 2024. The complete engulfment of the 2016 area by the 2024 area indicates that risk has increased along every demographic axis without exception. The axis for Asian mothers (BMI ≥25.0 kg/m2) shows a significant outward expansion, reflecting the group’s 39 % relative increase in prevalence.

Indexed trends in prepregnancy obesity prevalence by maternal race and ethnicity, United States, 2016–2024 (baseline 2016=100). Line graph standardizing the 2016 obesity prevalence to a baseline value of 100 for all groups to visualize the velocity of change. The solid black line represents the TOTAL population. The red line representing Asian mothers highlights the steepest trajectory of acceleration (index ∼139 in 2024), significantly outpacing the national average and groups with higher absolute burdens (e.g., NHOPI, black). This visualization isolates the rapidity of epidemiological transition independent of absolute prevalence.

Absolute change in normal weight prevalence from 2016 baseline by maternal race and ethnicity, United States, 2016–2024. This figure tracks the absolute percentage point change in normal weight prevalence (BMI 18.5–24.9 kg/m2) relative to 2016. The solid black line represents the TOTAL population decline. Values below zero indicate cumulative decline in normal weight prevalence, or the systematic erosion of the healthy weight category. Asian mothers (red line) experienced the steepest descent, losing approximately 8.2 percentage points of normal weight prevalence by 2024, a rate of loss exceeding that of all other racial and ethnic groups.

Trends in normal weight prevalence relative to the 50 % majority threshold by maternal race and ethnicity, United States, 2016–2024. The solid black line represents the total population average. Other lines represent specific racial/ethnic groups with distinct styles. The dashed horizontal line represents the 50 % critical threshold, below which births at a normal weight (BMI 18.5–24.9 kg/m2) cease to be the demographic norm. Trends indicate that for the majority of racial and ethnic groups, normal weight status is now a minority event. The Asian population exhibits a steep linear decline approaching the threshold possibly within the next 3–4 years.
Discussion
In this national population-based analysis of more than 32 million U.S. births from 2016 through 2024, prepregnancy BMI distributions shifted unfavorably across all racial and ethnic groups. These findings indicate a change in the metabolic profile of women entering pregnancy, characterized not only by rising obesity but by the systematic erosion of normal weight as the baseline condition. No single visualization adequately captures this transformation; however, when absolute prevalence, relative change, and threshold behavior are examined together, the loss of normal weight as the normative baseline becomes apparent.
Groups with historically high obesity prevalence, including Non-Hispanic Native Hawaiian or Other Pacific Islander, Non-Hispanic Black, and Non-Hispanic American Indian or Alaska Native mothers, continued to exhibit the highest absolute prevalence throughout the study period. This persistence aligns with prior national surveillance documenting entrenched disparities in prepregnancy obesity and related metabolic risk [9], [10], [11], [12], [13, [28], [29], [30]. Importantly, Figure 3 illustrates that between 2016 and 2024, obesity prevalence expanded across every racial and ethnic axis without exception.
A central finding of this study is the magnitude and velocity of change among Asian mothers when ethnicity-specific BMI thresholds are applied. Asian mothers experienced the largest relative increase in obesity prevalence between 2016 and 2024. Although absolute prevalence in 2024 remained lower than that of some high-burden groups, Asian mothers experienced the steepest absolute decline in normal weight prevalence over time. These results are consistent with extensive evidence that Asian populations develop metabolic dysfunction at lower BMI levels than other groups [18], [19], [20], [21], [22], [23], reinforcing the importance of applying ethnicity-appropriate cut points in obstetric surveillance.
The vanishing normal weight prevalence across all racial and ethnic groups represents a clinically meaningful shift with broad implications for perinatal risk [1], [2], [3], [4], [5], [6], [7]. Furthermore, this structural change must be viewed through the lens of the Developmental Origins of Health and Disease (DOHaD). Explicitly referencing Barker’s hypothesis, the maternal metabolic environment serves as a primary determinant of offspring physiology. The erosion of the normal weight baseline suggests that a growing proportion of the next generation is being exposed to an altered metabolic milieu in utero. These altered BMI trajectories may influence long-term offspring health, potentially increasing the population-level susceptibility to non-communicable diseases, including cardiovascular disease, diabetes, and cancer. Thus, the trends observed here likely underestimate the full public health impact, which may manifest intergenerationally.
As shown in Figure 6, normal weight status has fallen below the 50 % majority threshold for most groups, indicating that entry into pregnancy at a recommended BMI is no longer the norm. Prior studies have documented rising prepregnancy obesity [14], [15], [16], [17, 31], but the present analysis extends this literature by demonstrating that the contraction of the normal weight category is a defining feature of recent trends.
It is important to emphasize that while we use terms such as “metabolic deterioration” or “structural transformation” to describe these trends, the present study is descriptive in nature. We observed population-level prevalence shifts rather than individual physiological progression, and causal inference regarding the drivers of these trends is beyond the scope of this analysis. Furthermore, while we stratified by race and ethnicity, these unadjusted trends may also reflect concurrent shifts in maternal age, parity, socioeconomic status, and access to care, which were not controlled for in this descriptive overview.
This study has several strengths, including the use of a robust national dataset and consistent methodology. Limitations include reliance on self-reported prepregnancy height and weight, which may result in reporting bias and systematic underestimation of BMI. Additionally, the race and ethnicity categories utilized are based on birth certificate standards, which may possess limitations in accurately capturing multiracial identities or self-identification.
In summary, our study demonstrates a decisive and universal deterioration in prepregnancy metabolic health in the United States between 2016 and 2024. This deterioration is defined by the systematic vanishing of normal weight as the predominant condition at pregnancy entry. The rapid rise in obesity prevalence among Asian mothers when appropriate thresholds are applied highlights the limitations of conventional surveillance approaches. The ubiquity of these trends suggests that solutions likely lie in system-level and public health interventions rather than individual-level clinical mandates. Ultimately, these results underscore the need to refocus clinical and public health strategies toward the preconception period as well as throughout pregnancy and postpartum, with emphasis on early identification of metabolic risk and prevention across the life course [32], [33], [34], [35], [36].
-
Research ethics: The local Institutional Review Board deemed the study exempt from review.
-
Informed consent: Not applicable, no patient involved.
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Use of Large Language Models, AI and Machine Learning Tools: We used Claude.ai to improve grammar and sentences.
-
Conflict of interest: The authors state no conflict of interest.
-
Research funding: None declared.
-
Data availability: Data available at wonder.cdc.com.
References
1. Sebire, NJ, Jolly, M, Harris, JP, Wadsworth, J, Joffe, M, Beard, RW, et al.. Maternal obesity and pregnancy outcome: a study of 287,213 pregnancies in London. Int J Obes Relat Metab Disord 2001;25:1175–82. https://doi.org/10.1038/sj.ijo.0801670.Search in Google Scholar PubMed
2. Catalano, PM, Shankar, K. Obesity and pregnancy: mechanisms of short term and long term adverse consequences for mother and child. BMJ 2017;356:j1. https://doi.org/10.1136/bmj.j1.Search in Google Scholar PubMed PubMed Central
3. Cnattingius, S, Bergström, R, Lipworth, L, Kramer, MS. Prepregnancy weight and the risk of adverse pregnancy outcomes. N Engl J Med 1998;338:147–52. https://doi.org/10.1056/NEJM199801153380302.Search in Google Scholar PubMed
4. McDonald, SD, Han, Z, Mulla, S, Beyene, J. Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses. BMJ 2010;341:c3428. https://doi.org/10.1136/bmj.c3428.Search in Google Scholar PubMed PubMed Central
5. Goldstein, RF, Abell, SK, Ranasinha, S, Misso, M, Boyle, JA, Black, MH, et al.. Association of gestational weight gain with maternal and infant outcomes: a systematic review and meta-analysis. JAMA 2017;317:2207–25. https://doi.org/10.1001/jama.2017.3635.Search in Google Scholar PubMed PubMed Central
6. Siega-Riz, AM, Laraia, B. The implications of maternal overweight and obesity on the course of pregnancy and birth outcomes. Matern Child Health J 2006;10:S153–6. https://doi.org/10.1007/s10995-006-0115-x.Search in Google Scholar PubMed PubMed Central
7. Bodnar, LM, Pugh, SJ, Hutcheon, JA, Platt, RW, Himes, KP, Simhan, HN, et al.. Gestational weight gain below recommendations and adverse birth outcomes in relation to maternal prepregnancy BMI. Am J Clin Nutr 2024;120:638–47. https://doi.org/10.1016/j.ajcnut.2024.06.011.Search in Google Scholar PubMed PubMed Central
8. Flegal, KM, Kruszon-Moran, D, Carroll, MD, Fryar, CD, Ogden, CL. Trends in obesity among adults in the United States, 2005–2014. JAMA 2016;315:2284–91. https://doi.org/10.1001/jama.2016.6458.Search in Google Scholar PubMed PubMed Central
9. Kim, SY, Dietz, PM, England, L, Morrow, B, Callaghan, WM. Trends in prepregnancy obesity in nine states, 1993–2003. Obesity 2007;15:986–93. https://doi.org/10.1038/oby.2007.621.Search in Google Scholar PubMed
10. Chu, SY, Kim, SY, Bish, CL. Prepregnancy obesity prevalence in the United States, 2004–2005. Matern Child Health J 2009;13:614–20. https://doi.org/10.1007/s10995-008-0388-3.Search in Google Scholar PubMed
11. Hinkle, SN, Sharma, AJ, Kim, SY, Schieve, LA, Dalenius, K, Brindley, PL, et al.. Prepregnancy obesity trends among low-income women, United States, 1999–2008. Matern Child Health J 2012;16:1339–48. https://doi.org/10.1007/s10995-011-0892-2.Search in Google Scholar
12. Wang, MC, Freaney, PM, Perak, AM, Van Horn, L, Greenland, P, Lloyd-Jones, DM, et al.. Trends in prepregnancy obesity and association with adverse pregnancy outcomes in the United States, 2013–2018. J Am Heart Assoc 2021;10:e020717. https://doi.org/10.1161/JAHA.120.020717.Search in Google Scholar PubMed PubMed Central
13. Simpson, SE, Malek, AM, Wen, C, Neelon, B, Wilson, DA, Mateus, J, et al.. Trends in gestational weight gain and prepregnancy obesity in South Carolina, 2015–2021. Prev Chronic Dis 2024;21:E104. https://doi.org/10.5888/pcd21.240137.Search in Google Scholar PubMed PubMed Central
14. Driscoll, AK, Gregory, ECW. Increases in prepregnancy obesity: United States, 2016–2019. NCHS Data Brief 2020;392:1–8.Search in Google Scholar
15. Deputy, NP, Dub, B, Sharma, AJ. Prevalence and trends in prepregnancy normal weight – 48 states, New York city, and District of Columbia, 2011–2015. MMWR Morb Mortal Wkly Rep 2018;66:1402–7. https://doi.org/10.15585/mmwr.mm665152a2.Search in Google Scholar PubMed PubMed Central
16. Kent, L, McGirr, M, Eastwood, KA. Global trends in prevalence of maternal overweight and obesity: a systematic review and meta-analysis of routinely collected data retrospective cohorts. Int J Popul Data Sci 2024;9:2401. https://doi.org/10.23889/ijpds.v9i2.2401.Search in Google Scholar PubMed PubMed Central
17. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024;403:1027–50. https://doi.org/10.1016/S0140-6736(23)02750-2.Search in Google Scholar PubMed PubMed Central
18. Low, S, Chin, MC, Ma, S, Heng, D, Deurenberg-Yap, M. Rationale for redefining obesity in Asians. Ann Acad Med Singapore 2009;38:66–9. https://doi.org/10.47102/annals-acadmedsg.v38n1p66.Search in Google Scholar
19. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363:157–63. https://doi.org/10.1016/S0140-6736(03)15268-3.Search in Google Scholar PubMed
20. Hsu, WC, Araneta, MRG, Kanaya, AM, Chiang, JL, Fujimoto, W. BMI cut points to identify at-risk Asian Americans for type 2 diabetes screening. Diabetes Care 2015;38:150–8. https://doi.org/10.2337/dc14-2391.Search in Google Scholar PubMed PubMed Central
21. Wu, Y, Ming, WK, Wang, D, Zhang, Q, Zhao, Y, Liu, J, et al.. Appropriate prepregnancy BMI cut points for obesity in the Chinese population: a retrospective cohort study. Reprod Biol Endocrinol 2018;16:77. https://doi.org/10.1186/s12958-018-0397-z.Search in Google Scholar PubMed PubMed Central
22. Misra, A, Chowbey, P, Makkar, BM, Vikram, NK, Wasir, JS, Chadha, D, et al.. Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management. J Assoc Phys India 2009;57:163–70.Search in Google Scholar
23. Examination Committee of Criteria for ’Obesity Disease’ in Japan; Japan Society for the Study of ObesityJapan Society for the Study of Obesity. New criteria for ’obesity disease’ in Japan. Circ J 2002;66:987–92. https://doi.org/10.1253/circj.66.987.Search in Google Scholar PubMed
24. Centers for Disease Control and Prevention. CDC WONDER natality public-use data, 2016–2024. Atlanta: CDC; 2025 [Internet] [cited 2025 Dec 12]. Available from: http://wonder.cdc.gov/natality-current.html.Search in Google Scholar
25. Krugman, PR. Increasing returns, monopolistic competition, and international trade. J Int Econ 1979;9:469–79. https://doi.org/10.1016/0022-1996(79)90017-5.Search in Google Scholar
26. Kahneman, D, Tversky, A. Prospect theory: an analysis of decision under risk. Econometrica 1979;47:263–91. https://doi.org/10.2307/1914185.Search in Google Scholar
27. Schelling, TC. Dynamic models of segregation. J Math Sociol 1971;1:143–86. https://doi.org/10.1080/0022250X.1971.9989794.Search in Google Scholar
28. Kracht, CL, Schubel, L, Sen, S, Dole, N, Siega-Riz, AM. Racial disparities in gestational weight gain and adverse pregnancy outcomes. BMC Pregnancy Childbirth 2024;24:512. https://doi.org/10.1186/s12884-024-10023-1.Search in Google Scholar
29. Egbejimi, A, Nix, S, Chukwura, C, Adu, E, Oparah, S. Racial disparity in preterm birth among pregnant women with obesity: a cross-sectional analysis of the 2019 US birth data. Matern Child Health J 2023;27:1234–42. https://doi.org/10.1007/s10995-023-03698-x.Search in Google Scholar
30. Diamond-Smith, N, Banerjee, S, Ananth, CV, Wentzell, E, Kuppermann, M. Impact of being underweight before pregnancy on preterm birth: a secondary analysis of the nuMoM2b study. J Matern Fetal Neonatal Med 2024;37:4562–71. https://doi.org/10.1080/14767058.2024.2374351.Search in Google Scholar
31. Flegal, KM, Harlan, WR, Landis, JR. Secular trends in body mass index in young adult women. Am J Clin Nutr 1988;48:535–43. https://doi.org/10.1093/ajcn/48.3.535.Search in Google Scholar PubMed
32. McLaughlin, MM, Hinkle, SN, Mumford, SL, Zhang, C, Grantz, KL. National trends in prepregnancy cardiometabolic risk factors. Obstet Gynecol 2025;145. https://doi.org/10.1097/AOG.0000000000005990. [Epub ahead of print].Search in Google Scholar PubMed PubMed Central
33. Grünebaum, A, Dudenhausen, JW. Prevention of risks of overweight and obesity in pregnant women. J Perinat Med 2022;51:83–6. https://doi.org/10.1515/jpm-2022-0313.Search in Google Scholar PubMed
34. Jacob, CM, Killeen, SL, McAuliffe, FM, Stephenson, J, Hod, M, Diaz Yamal, I, et al.. Prevention of noncommunicable diseases by interventions in the preconception period: a FIGO position paper for action by healthcare practitioners. Int J Gynaecol Obstet 2020;151:6–15. https://doi.org/10.1002/ijgo.13331.Search in Google Scholar PubMed PubMed Central
35. McAuliffe, FM, Killeen, SL, Jacob, CM, Hanson, MA, Hadar, E, McIntyre, HD, et al.. Management of prepregnancy, pregnancy, and postpartum obesity from the FIGO pregnancy and non-communicable diseases committee: a FIGO (international Federation of gynecology and obstetrics) guideline. Int J Gynaecol Obstet 2020;151:16–36. https://doi.org/10.1002/ijgo.13334.Search in Google Scholar PubMed PubMed Central
36. Hanson, M, Barker, M, Dodd, JM, Kumanyika, S, Norris, S, Steegers, E, et al.. Interventions to prevent maternal obesity before conception, during pregnancy, and post-partum. Lancet Diabetes Endocrinol 2017;5:65–76. https://doi.org/10.1016/S2213-8587(16)30284-4.Search in Google Scholar PubMed
© 2026 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.