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It’s not just trophy wives: Husbands exercise more if their wife is the higher earner.

In A Nutshell

  • Not just correlation, but purposeful adjustment: Partners specifically increase physical activity when their spouse’s relative earnings climb, suggesting strategic compensation rather than passive weight changes.
  • At the altar, tradition holds: Women with lower BMI marry higher-earning men, but men’s weight shows no relationship to wives’ income. The classic “trophy wife” pattern still exists at marriage formation.
  • During marriage, both play the game: When one spouse’s income share increases, the other’s BMI drops and exercise frequency rises. The effect works equally for husbands and wives, challenging gender stereotypes.
  • College-educated couples respond differently: Highly educated women’s BMI rises as their income share grows, while their husbands lose weight. For college-educated men, the pattern weakens or reverses: they may invest in career over fitness.

The “trophy wife” stereotype is well-known and fairly straightforward. At least, that’s what most people think.

A fascinating study tracking nearly 4,000 American couples over two decades found that beauty-for-status exchanges don’t just happen at the altar and aren’t limited to one gender. Throughout marriage, both husbands and wives adjust their physical fitness in ways that correspond with whoever’s bringing home more bacon.

Published in Economics and Human Biology, the research analyzed data from 1999 to 2019 and identified what scientists call “dynamic beauty-status exchange.” When wives earned more relative to their husbands, husbands’ body mass index dropped and their exercise frequency increased. The pattern worked in reverse: when husbands’ relative income rose, wives became more physically active and their BMI decreased.

Dr. Joanna Syrda from the University of Bath School of Management examined couples’ income ratios, BMI measurements, and physical activity levels across multiple years. Her findings challenge conventional wisdom about marriage markets: while women still face more pressure about appearance when getting married, once the knot is tied, both partners play the same game.

“Marriage can be modeled as a repeated game in which, at each stage, both partners decide whether to remain married or pursue divorce,” Syrda writes. Economic theory suggests that when one spouse’s income jumps significantly, the relationship may face greater instability risk if couples don’t adjust accordingly. Partners appear to restore balance by ramping up gym visits and shedding pounds.

At the Altar, Old Rules Still Apply

The study first examined 1,335 recently married couples to understand initial pairing patterns. Traditional gender dynamics showed up clearly here. Wives’ BMI demonstrated a strong negative association with husbands’ relative income (a 10 percentage-point difference in income share corresponded with women having BMI averaging 0.32 points lower). Husbands’ BMI at marriage, however, showed no relationship to wives’ relative earnings.

This one-sided pattern confirms long-standing observations about mate selection: women’s physical attractiveness still matters more than men’s when couples form. The “trophy wife” phenomenon exists, at least at the beginning. But that’s where tradition ends.

Newlywed couple kissing at their wedding
The typical trophy wife stereotype still held true – at least at the alter. (Photo by PeopleImages.com – Yuri A on Shutterstock)

Both Spouses Respond to Income Shifts

Once couples settled into married life, the gender asymmetry vanished completely. Analyzing 13,238 observations from 3,744 couples tracked every two years, researchers found both spouses’ BMI responded equally to relative income shifts. Women whose earnings share increased showed rising BMI, while their husbands’ BMI declined. The reverse occurred when husbands’ income share grew.

The study controlled for absolute income levels, age, education, health status, work hours, occupation, industry, and state of residence. Even accounting for these factors, relative income remained a significant predictor of weight changes. Importantly, in the within-couple models examining BMI changes during marriage, absolute income showed no consistent relationship with weight fluctuations (only the ratio between spouses’ earnings mattered).

In statistical models, increases in wives’ relative income significantly raised their odds of obesity while lowering husbands’ odds. For every unit increase in a wife’s income share, her log odds of obesity increased by 2.378 while her husband’s decreased by 1.301. The spousal BMI gap also narrowed as wives’ relative income climbed.

Exercise Plays A Key Role, Too

To understand how these weight changes occurred, Syrda examined couples’ exercise habits. The data pointed to a clear mechanism. When one spouse’s relative income increased, their partner’s physical activity frequency rose correspondingly. Partners increased their workout frequency as their spouse’s relative earnings grew, suggesting purposeful compensation for the income imbalance.

As one partner pulled ahead financially, the other hit the gym harder. The effect proved consistent regardless of which spouse earned more.

College-Educated Couples Show Different Patterns

Not everyone responded identically to income shifts. Among college-educated women, the positive association between relative income and BMI proved significantly steeper. As highly educated wives’ income share increased from 0 to 100%, their predicted BMI rose from about 25.5 to 27.5. For women with high school education or less, BMI remained essentially flat around 25.8 regardless of income share.

This educational divide makes economic sense. High-skill jobs feature steep rewards for long hours and severe penalties for schedule interruptions. As college-educated women’s earnings rise, the opportunity cost of time-intensive weight control increases. Each hour spent exercising represents foregone wages that matter more at higher income levels.

Among husbands, education reversed the typical pattern. While husbands generally showed lower obesity risk as wives’ relative income rose, college-educated men showed attenuated or reversed effects. The baseline negative relationship between wives’ relative income and husbands’ obesity likelihood weakened or disappeared for highly educated men.

One explanation involves work incentives. High-skill men in dual-career marriages may respond to rising spousal income by doubling down on career investment rather than fitness maintenance. For highly educated men, professional identity may trump physical attractiveness as a compensatory strategy.

person in gray shirt holding black dumbbell
When wives earned more, husbands’ body mass indexes declined and their exercise frequency increased. (Photo by Anastase Maragos on Unsplash)

Trophy Spouse: A Two-Way Street In Marriage

The research breaks new ground by distinguishing between “static” beauty-status exchange at marriage formation and “dynamic” exchange during marriage. Static exchange (the initial pairing based on looks and resources) remains gendered and asymmetric. Women still face more scrutiny about physical appearance when entering marriage markets.

Dynamic exchange (the ongoing adjustments couples make throughout marriage) operates symmetrically. Both partners respond to relative income shifts by adjusting fitness levels. Marriages function as continuous negotiations rather than one-time contracts.

Syrda frames this through economic models where each partner constantly weighs the value of staying married against outside options. When one spouse’s earning power increases, their alternatives improve. The marriage market doesn’t disappear after the wedding; it remains as an implicit comparison point affecting behavior.

Partners may compensate by improving other valued attributes like physical fitness. This compensation appears purposeful rather than unconscious. Partners don’t just gain or lose weight randomly as household income changes (they specifically respond to shifts in who earns what proportion).

The findings arrive as traditional income hierarchies shift dramatically. More women achieve higher education and career success in dual-earner marriages. As these patterns evolve, couples appear to find new equilibrium points by trading economic power for physical attractiveness (not just once at marriage, but continuously throughout their relationships).


Disclaimer: This study examines statistical associations between spousal relative income and BMI changes in heterosexual married couples. The research does not establish direct causation or claim these patterns apply to all couples. Individual relationships vary significantly, and many factors beyond income affect health, fitness, and marital dynamics. The findings reflect average patterns across nearly 4,000 couples and may not represent any specific couple’s experience. BMI is used as a proxy for physical attractiveness and fitness but has limitations as a health measure. Readers should not interpret these findings as prescriptive advice for their own relationships.


Paper Summary

Limitations

The study acknowledges several limitations. The biennial data collection structure reduces precision, as more granular measurements would better capture timing and causation of changes. The sample size of recently married couples (N=1,448, with 1,335 used in the selection regression models) is considerably smaller than the full longitudinal sample, potentially limiting statistical power for detecting selection effects. The model assumes vertical preferences for BMI, though preferences may actually be heterogeneous and horizontal (however, prior research confirms strong correlation between BMI and opposite-sex attractiveness ratings). The specific theoretical mechanism (marriage market incentives, social control, or bargaining power) remains unclear and requires future investigation. Finally, the research focused exclusively on heterosexual married couples, leaving questions about same-sex couples and cohabiting partners unanswered.

Funding and Disclosures

The author declared no conflicts of interest. No specific funding information was provided in the publication. The research used publicly available Panel Study of Income Dynamics (PSID) data from 1999-2019.

Publication Details

Author: Joanna Syrda, University of Bath, School of Management, Convocation Ave, Claverton Down, Bath BA2 7AY, UK | Journal: Economics and Human Biology, Volume 59, December 2025, Article 101543 | DOI: 10.1016/j.ehb.2025.101543 | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

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