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Lung Diffusing Capacity at Age 22 and its Life-Course Determinants: Evidence from the 1993 Pelotas Birth Cohort

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Larissa Picançoa,b,
Corresponding author
larissaapicanco@gmail.com

Corresponding author.
, Ana Maria Baptista Menezesa, Paula Duarte de Oliveiraa,b, Priscila Webera,b, Rogelio Perez-Padillac, Fernando C. Wehrmeistera
a Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
b Brazilian Company of Hospital Services (EBSERH), Brasilia, Brazil
c National Institute of Respiratory Diseases (INER), Mexico City, Mexico
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Tables (5)
Table 1. Description of sample characteristics by demographic, behavioral, and health variables, stratified by sex.
Tables
Table 2. Mean values and 95% confidence intervals (95%CI) of DLCO, AV, and KCO according to demographic, behavioral, and health characteristics among male participants (n=1283).
Tables
Table 3. Mean values and 95% confidence intervals (95%CI) of DLCO, AV, and KCO according to demographic, behavioral, and health characteristics among female participants (n=1460).
Tables
Table 4. Crude and adjusted beta coefficients (β) and 95% confidence intervals (95% CI) from multivariable linear regression models for DLCO parameters, according to demographic, behavioral, and health characteristics among male participants (n=1283).
Tables
Table 5. Crude and adjusted beta coefficients (β) and 95% confidence intervals (95%CI) from multivariable linear regression models for DLCO parameters, according to demographic, behavioral, and health characteristics among female participants (N=1460).
Tables
Additional material (1)
Abstract
Objective

We investigated DLCO parameters at 22 years and associations with socio-demographic, health, and behavioral factors.

Methods

We studied a total of 3350 participants in the 22-year follow-up of the 1993 Pelotas Birth Cohort. DLCO, alveolar volume (AV), and transfer coefficient (KCO) were modeled against perinatal factors and characteristics at 22 years using crude and adjusted linear regressions, stratified by sex.

Results

Maternal smoking during pregnancy was linked to lower DLCO (β=−1.0; 95%CI, −1.72, −0.28) and AV (β=−0.19; 95%CI, −0.33, −0.05) in men. Low birth weight showed lower DLCO (β=−1.21; 95%CI, −2.13, −0.29) and AV (β=−0.29; 95%CI, −0.47, −0.11) in women. Black participants showed lower AV in both sexes and higher KCO in men (β=0.29; 95%CI, 0.14, 0.44). Obesity linked to lower AV and higher KCO in both sexes. Male smokers ≥11cigarettes/day had lower DLCO (β=−4.80; 95%CI, −6.01, −3.59), AV (β=−0.40; 95%CI, −0.64, −0.17), and KCO (β=−0.51; 95%CI, −0.70, −0.32). Female smokers showed higher DLCO and AV but lower KCO (β=−0.25; 95%CI, −0.49, −0.01).

Conclusion

Pulmonary diffusing capacity is shaped by early-life factors and modifiable exposures, including tobacco smoking and obesity. After adjusting for confounders, including time since the last cigarette, to minimize bias related to the absence of hemoglobin or carboxyhemoglobin information, associations remained evident. DLCO serves as an early marker of respiratory and systemic health, supporting prevention strategies and risk stratification in young adults.

Keywords:
Diffusing capacity for carbon monoxide (DLCO)
DLCO/VA (KCO)
Alveolar gas exchange
Respiratory function tests
General population
Graphical abstract
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Introduction

Pulmonary function tests are essential to detecting impairments in gas exchange. The diffusing capacity of the lungs for carbon monoxide (DLCO) is a key marker of alveolar-capillary integrity, as it reflects both structural aspects of the lung and pulmonary blood flow [1].

Scientific evidence indicates that reduced DLCO also reflects systemic inflammatory and metabolic alterations. A drop in DLCO may represent one of the earliest indicators of pulmonary impairment [2–4]. These early alterations may be influenced by perinatal conditions [5], smoking [2,6], and excess weight [7]. In individuals with chronic obstructive pulmonary disease (COPD), for example, reduced DLCO is frequently associated with emphysema, even when spirometry remains within normal limits [8].

Most available data come from clinical samples or disease-specific cohorts, which limit our understanding of these parameters in the general population [9–11]. This gap hampers the identification of early functional changes that may precede overt disease, hindering the development of targeted prevention strategies.

Only a few population studies [2,12] have investigated DLCO and its components—AV and the transfer coefficient for carbon monoxide (KCO)—while accounting for demographic and health factors. The 1993 Pelotas Birth Cohort [13] helps address assessments of DLCO, AV, and KCO at age 22.

We aimed to describe DLCO, AV, and KCO at 22 years of age in the 1993 Pelotas Birth Cohort and investigate the associations with smoking, sex, and early-life and current health factors in a population-based setting.

MethodsStudy design and sample

This study used data from the 22-year follow-up of the 1993 Pelotas Birth Cohort, a population-based cohort study started at birth [13]. All women residing in the urban area of Pelotas who gave birth in hospital facilities in 1993 were invited to participate with their liveborn (99.6% participation). At baseline, participants provided information on their socioeconomic, demographic, and health characteristics. The individuals have been prospectively followed. At the 22-year follow-up, 3810 of the 5249 eligible baseline participants were interviewed (76.3%). Among them, 2817 underwent the DLCO test. Exclusion criteria for testing were pregnant or possibly pregnant; individuals with special needs; tuberculosis or undergoing treatment for the disease; hospitalization within the past 3 months due to a heart condition; chest or abdominal surgery within the past 3 months; retinal detachment or eye surgery within the past 3 months; nasal fracture and rib pain due to a recent motorcycle accident; brain surgery; drug allergies or to the bronchodilator; reason not recorded; presence of a heart condition; medical restriction of physical exertion; and severe asthma A total of 2743 were included in the final analysis, and they comprised the analytical sample of the present study (Fig. 1).

Fig. 1.

Flowchart of the 1993 Pelotas Birth Cohort participants included in the present analysis.

Methodological details are available elsewhere [13]. The study was approved by the Ethics and Research Committee of the School of Medicine at the Federal University of Pelotas under protocol No. 1.250.366, corresponding to the 22-year follow-up.

Outcome

The diffusing capacity of the lung for carbon monoxide (DLCO) was measured using the EasyOne Pro™ device (NDD Medical Technologies, Switzerland) in accordance with ATS/ERS quality standards. Each participant performed at least two acceptable and reproducible maneuvers, all parameters analyzed, including total diffusing capacity for carbon monoxide (DLCO, expressed as mL/min/mmHg), alveolar volume (AV, in liters) and transfer coefficient of carbon monoxide (KCO, expressed as mL/min/mmHg/L), were directly provided by the device's software. The KCO corresponds to the DLCO divided by AV, as automatically calculated by the equipment. Detailed DLCO measurement procedures and quality-control specifications are provided in the Supplementary data.

Exposures

At the perinatal visit, the following dichotomous variables (yes/no) were assessed: prematurity (gestational age<37 weeks, determined by the date of the last menstrual period), low birth weight (<2500g), and maternal smoking during pregnancy. For maternal smoking, participants who had never smoked or were former smokers were classified as non-smokers. All variables were collected using standardized questionnaires administered by trained personnel.

At the age of 22, self-reported skin color was assessed according to the criteria of the Brazilian Institute of Geography and Statistics (IBGE), based on participants’ self-classification at age 11 into predefined categories: white, black, or brown. Socioeconomic status (through a principal component analysis including the possession of assets and goods, then divided into quintiles, the first representing the 20% poorer), leisure-time physical activity was assessed using the International Physical Activity Questionnaire and categorized into <150min/week, or ≥150min/week, according to the most recent World Health Organization recommendations [15].

Wheezing was self-reported based on responses to the questions: “Have you ever had wheezing in your life?” and “Have you had wheezing in the past year?” Participants were classified into 3 categories: never, yes (but not in the past 12 months), and yes (in the past 12 months). The BMI was calculated by dividing total body mass (in kg, measured using a scale attached to the BOD POD® Composition System, COSMED, Albano Laziale, Italy) by the square of height (m2, measured using a stadiometer). The BMI was categorized as underweight/normal (<24.9kg/m2), overweight (25.0–29.9kg/m2), and obese (≥30.0kg/m2) [16]. Sleep duration was also assessed via questionnaire, with participants classified as sleeping<7h, between 7 and 9h, or >9h, based on recommendations from the National Sleep Foundation (2015) [17].

Smoking status was defined based on responses to 2 questions: “Have you ever smoked cigarettes at least once a week?” and “Do you still smoke cigarettes?” Participants were categorized as never smokers, former smokers, or current smokers. Among current smokers, daily cigarette consumption was categorized as <10 or ≥11cigarettes/day. Supplementary data illustrates an additional classification of smoking exposure based on pack-years, derived from the number of cigarettes smoked per day and the duration of smoking. Further details and the original cohort questionnaires are available online: https://epidemio-ufpel.org.br/coorte-1993.

Data analysis

Descriptive analyses summarized the sample characteristics by sex, including categorical variables (absolute and relative frequencies) and numerical variables (means and 95% confidence intervals). DLCO, AV, and KCO were estimated across categories of the exposure variables. DLCO estimates were adjusted for height and time since the last cigarette, the latter entered as a continuous variable (in minutes) to account for short-term effects of carbon monoxide from smoking on gas transfer.

Multivariable linear regression models were used to examine the associations between the independent variables and each of the three outcomes (DLCO, AV, and KCO). Crude and adjusted analyses were performed. For adjusted analyses, covariate selection was theory-driven on prior evidence regarding determinants of lung function. We performed a complete adjusted model considering prematurity, low birth weight, maternal smoking during pregnancy, skin color, socioeconomic status, BMI, sleep duration, physical activity, wheezing, and smoking status. Sensitivity analyses using pack-years smoked were also conducted (Supplementary data). Interaction terms were tested, and no evidence of interaction was found (all p-values>0.20), except for sex. Analyses were stratified by sex and performed using Stata 17 (StataCorp, College Station, TX, USA).

Results

Table 1 illustrates the sample characteristics by sex. About two-thirds of participants self-reported as white, with similar distributions between sexes. Women were more likely to be in the lowest socioeconomic quintile, not reach physical activity recommendations, and be obese. A higher proportion of men reported smoking vs women (15.3%).

Table 1.

Description of sample characteristics by demographic, behavioral, and health variables, stratified by sex.

  Male(N=1283)  Female(N=1460) 
  n (%)  n (%) 
Perinatal
Prematurity
No (≥37 weeks)  1192 (93.0)  1329 (91.0) 
Yes (<37 weeks)  91 (7.0)  131 (9.0) 
Birth weight (grams)
≥2500  1199 (93.4)  1303 (89.2) 
<2500  84 (6.6)  157 (10.8) 
Maternal smoking during pregnancy
No  872 (68.0)  949 (65.0) 
Yes  411 (32)  511 (35.0) 
At the age of 22
Skin color
White  766 (66.5)  839 (62.8) 
Black  177 (15.4)  221 (16.5) 
Brown  209 (18.1)  277 (20.7) 
Socioeconomic position (quintiles)
1 (lowest)  219 (17.1)  369 (25.4) 
239 (18.6)  318 (21.8) 
269 (21.0)  294 (20.2) 
274 (21.4)  254 (17.4) 
5 (highest)  281 (21.9)  222 (15.2) 
BMI (kg/m2)
Underweight/Normal (<24.9)  695 (54.5)  785 (54.0) 
Overweight (25.0–29.9)  401 (31.5)  368 (25.3) 
Obese (≥30)  178 (14.0)  301 (20.7) 
Sleep
<7h of sleep  843 (85.1)  764 (70.2) 
≥7147 (14.9)  325 (29.8) 
Leisure-time physical activity
No activity  459 (35.8)  952 (65.3) 
<150min  303 (23.6)  188 (12.9) 
≥150min  520 (40.6)  317 (21.8) 
Wheezing
Never  873 (68.0)  1037 (71.2) 
Yes, but not in the past 12 months  259 (20.2)  283 (19.4) 
Yes, in the past 12 months  151 (11.8)  137 (9.4) 
Smoking status at 22
Never  873 (68.0)  1081 (74.2) 
Former smoker  127 (9.9)  153 (10.5) 
Smoker (≤10 cigarettes per day)  161 (12.6)  151 (10.4) 
Smoker (≥11 cigarettes per day)  122 (9.5)  72 (4.9) 

BMI: body mass index. Almost all variables presented missing values. The minimum missing amount was 1 for socioeconomic position and the maximum was 293 for sleep duration.

DLCO analyses included only tests with quality grades A–D, totaling 2743 participants (1283 men and 1460 women), ensuring high reproducibility and a sufficient number of valid maneuvers (Supplementary Table S2).

Tables 2 and 3 present the averages of DLCO, AV, and KCO (and their respective 95% CI) by early-life, sociodemographic, behavioral, and health-related variables. Regarding early-life and demographic variables, among men, lower DLCO and AV were observed in those born prematurely, with low birth weight, or exposed to maternal smoking. Women born with low birth weight showed lower DLCO. Black participants had lower DLCO and AV, and higher KCO, in both sexes.

Table 2.

Mean values and 95% confidence intervals (95%CI) of DLCO, AV, and KCO according to demographic, behavioral, and health characteristics among male participants (n=1283).

  MEAN (95%CI)DLCO (mL/min/mmHg)  MEAN (95%CI)VA (L)  MEAN (95%CI)KCO (mL/min/mmHg/L) 
Overall  32.25 (3.95; 32.54)  6.28 (6.23; 6.34)  5.22 (5.17; 5.27) 
Perinatal
Prematurity
No (≥37 weeks)  32.38 (32.07; 32.69)  6.30 (6.25; 6.36)  5.19 (5.14; 5.23) 
Yes (<37 weeks)  30.53 (29.41; 31.66)  6.03 (5.83; 6.24)  5.16 (5.00; 5.33) 
Birth weight (g)
≥2500  32.35 (32.05; 32.66)  6.30 (6.24; 6.36)  5.19 (5.14; 5.23) 
<2500  30.68 (29.51; 31.85)  6.04 (5.83; 6.26)  5.13 (4.96; 5.30) 
Maternal smoking during pregnancy
No  32.62 (32.36; 32.98)  6.35 (6.29; 6.42)  5.19 (5.13; 5.24) 
Yes  31.45 (30.92; 31.97)  6.14 (6.04; 6.23)  5.18 (5.10; 5.26) 
At the age of 22
Skin color
White  32.54 (32.15; 32.93)  6.38 (6.30; 6.45)  5.16 (5.10; 5.21) 
Black  32.30 (31.39; 33.02)  6.02 (5.87; 6.17)  5.44 (5.32; 5.55) 
Brown  31.47 (30.72; 32.22)  6.17 (6.03; 6.31)  5.13 (5.02; 5.24) 
Socioeconomic position (quintiles)
1 (lowest)  31.37 (30.65; 32.09)  6.06 (5.93; 6.20)  5.21 (5.11; 5.32) 
31.92 (31.23; 32.61)  6.18 (6.06; 6.31)  5.22 (5.12; 5.32) 
32.59 (31.94; 33.24)  6.30 (6.18; 6.42)  5.22 (5.12; 5.31) 
31.82 (31.17; 32.46)  6.23 (6.11; 6.35)  5.17 (5.08; 5.27) 
5 (highest)  33.27 (32.63; 33.90)  6.58 (6.46; 6.69)  5.11 (5.02; 5.20) 
BMI (kg/m2)
Underweight/Normal (<24.9)  31.89 (31.48; 32.29)  6.35 (6.27; 6.42)  5.08 (5.02; 5.14) 
Overweight (25.0–29.9)  33.16 (32.63; 33.69)  6.18 (6.18; 6.38)  5.34 (5.26; 5.41) 
Obese (≥30)  31.82 (31.02; 32.62)  6.06 (5.92; 6.21)  5.29 (5.18; 5.41) 
Sleep
<7h of sleep  32.33 (31.97; 32.69)  6.28 (6.21; 6.34)  5.21 (5.15; 5.26) 
≥731.54 (30.67; 32.41)  6.19 (6.02; 6.35)  5.15 (5.02; 5.29) 
Leisure-time physical activity
No activity  31.59 (31.09; 32.09)  6.21 (6.11; 6.30)  5.14 (5.06; 5.21) 
<150min  32.23 (31.62; 32.84)  6.30 (6.19; 6.42)  5.19 (5.10; 5.28) 
≥150min  32.86 (32.39; 33.33)  6.34 (6.26; 6.43)  5.23 (5.16; 5.30) 
Wheezing
Never  32.49 (32.12; 32.84)  6.34 (6.28; 6.41)  5.17 (5.12; 5.23) 
Yes, but not in the past 12 months  31.97 (31.31; 32.64)  6.22 (6.10; 6.35)  5.20 (5.11; 5.30) 
Yes, in the past 12 months  31.31 (30.44; 32.18)  6.04 (5.88; 6.20)  5.21 (5.09; 5.34) 
Smoking status at 22
Never  33.36 (33.02; 33.71)  6.41 (6.34; 6.47)  5.28 (5.22; 5.33) 
Former smoker  32.52 (31.63; 33.41)  6.28 (6.11; 6.45)  5.25 (5.12; 5.39) 
Smoker (≤10 cigarettes per day)  29.02 (28.23; 29.81)  5.93 (5.78; 6.08)  4.92 (4.80; 5.05) 
Smoker (≥11 cigarettes per day)  28.20 (27.29; 29.11)  5.88 (5.70; 6.05)  4.81 (4.68; 4.95) 

Note: DLCO, AV and KCO estimates were adjusted for height and time since last cigarette consumption.

DLCO, diffusing capacity of the lung for carbon monoxide; AV, alveolar volume; KCO, transfer coefficient; BMI, body mass index.

Table 3.

Mean values and 95% confidence intervals (95%CI) of DLCO, AV, and KCO according to demographic, behavioral, and health characteristics among female participants (n=1460).

  MEAN (95%CI)DLCO (mL/min/mmHg)  MEAN (95%CI)VA (L)  MEAN (95%CI)KCO (mL/min/mmHg/L) 
Overall  22.24 (22.03; 22.45)  4.68 (4.64; 4.72)  4.77 (4.72; 4.81) 
Perinatal
Prematurity
No (≥37 weeks)  22.24 (22.01; 22.46)  4.69 (4.65; 4.73)  4.79 (4.75; 4.84) 
Yes (<37 weeks)  22.30 (21.59; 23.00)  4.63 (4.50; 4.76)  4.85 (4.72; 4.99) 
Birth weight (grams)
≥2500  22.33 (22.10; 22.55)  4.70 (4.66; 4.74)  4.80 (4.76; 4.84) 
<2500  21.53 (20.88; 22.17)  4.53 (4.41; 4.65)  4.80 (4.67; 4.92) 
Maternal smoking during pregnancy
No  22.26 (21.99; 22.52)  4.69 (4.65; 4.74)  4.79 (4.74; 4.84) 
Yes  22.22 (21.86; 22.58)  4.66 (4.59; 4.73)  4.82 (4.75; 4.89) 
At the age of 22
Skin color
White  22.25 (21.96; 22.53)  4.75 (4.69; 4.80)  4.74 (4.69; 4.79) 
Black  22.15 (21.59; 22.70)  4.55 (4.44; 4.65)  4.90 (4.80; 5.01) 
Brown  22.51 (22.01; 23.00)  4.64 (4.55; 4.73)  4.89 (4.80; 4.99) 
Socioeconomic position (quintiles)
1 (lowest)  22.73 (22.32; 23.15)  4.69 (4.61; 4.77)  4.89 (4.81; 4.97) 
22.42 (21.97; 22.86)  4.67 (4.58; 4.75)  4.85 (4.76; 4.94) 
21.77 (21.31; 22.24)  4.58 (4.50; 4.67)  4.79 (4.70; 4.88) 
22.27 (21.77; 22.77)  4.79 (4.70; 4.89)  4.71 (4.61; 4.81) 
5 (highest)  21.90 (21.37; 22.44)  4.72 (4.62; 4.82)  4.69 (4.58; 4.79) 
BMI (kg/m2)
Underweight/Normal (<24.9)  21.95 (21.66; 22.24)  4.74 (4.69; 4.79)  4.68 (4.62; 4.73) 
Overweight (25.0–29.9)  22.33 (21.90; 22.75)  4.64 (4.57; 4.72)  4.85 (4.77; 4.93) 
Obese (≥30)  22.89 (22.43; 23.36)  4.57 (4.49; 4.66)  5.06 (4.97; 5.15) 
Sleep
<7h of sleep  22.16 (21.88; 22.44)  4.66 (4.60; 4.71)  4.80 (4.74; 4.86) 
≥722.01 (21.58; 22.45)  4.70 (4.62; 4.79)  4.75 (4.66; 4.84) 
Leisure-time physical activity
No activity  22.22 (21.96; 22.48)  4.68 (4.64; 4.73)  4.76 (4.70; 4.81) 
<150min  22.04 (21.46; 22.63)  4.66 (4.55; 4.77)  4.74 (4.61; 4.86) 
≥150min  22.49 (22.04; 22.94)  4.70 (4.62; 4.79)  4.82 (4.73; 4.92) 
Wheezing
Never  22.11 (21.86; 22.36)  4.67 (4.62; 4.71)  4.79 (4.74; 4.83) 
Yes, but not in the past 12 months  22.38 (21.90; 22.85)  4.73 (4.64; 4.82)  4.77 (4.67; 4.86) 
Yes, in the past 12 months  23.15 (22.46; 23.83)  4.74 (4.61; 4.87)  4.95 (4.82; 5.09) 
Smoking status at 22
Never smoker  21.95 (21.71; 22.19)  4.63 (4.58; 4.67)  4.80 (4.75; 4.85) 
Former smoker  22.18 (21.54; 22.81)  4.60 (4.48; 4.72)  4.86 (4.73; 4.99) 
Smoker (≤10 cigarettes per day)  23.83 (23.18; 24.47)  5.00 (4.88; 5.12)  4.78 (4.65; 4.91) 
Smoker (≥11 cigarettes per day)  23.76 (22.82; 24.69)  5.08 (4.91; 5.26)  4.69 (4.50; 4.87) 

Note: DLCO, AV and KCO estimates were adjusted for height and time since last cigarette consumption.

DLCO, diffusing capacity of the lung for carbon monoxide; AV, alveolar volume; KCO, transfer coefficient; BMI, body mass index.

When current variables were assessed, overweight and obesity were linked to higher DLCO and KCO, especially in women, though AV tended to be lower in obese individuals of both sexes. Current individuals’ smoking status showed distinct sex-specific patterns in DLCO, AV, and KCO. Among men, DLCO, AV, and KCO were lower across all levels of exposure, with lower values observed in those who smoked ≥11cigarettes per day. Among women, DLCO and AV showed higher values with smoking exposure, while KCO was lower in daily smokers, particularly among those consuming ≥11cigarettes per day (Tables 2 and 3).

Tables 4 and 5 show the adjusted models. Early life exposures showed that, among men, maternal smoking during pregnancy was linked to lower DLCO (β=−0.96; 95%CI, −1.67, −0.25) and AV (β=−0.19; 95%CI, −0.33, −0.05) vs non-exposed. In women, low birth weight remained associated with lower DLCO (β=−1.21; 95%CI, −2.13, −0.29) and AV (β=−0.29; 95%CI, −0.47, −0.11) vs individuals with normal birth weight. Black individuals had lower AV in both sexes vs those related being whit. Among men, black skin color was also associated with higher KCO (β=0.29; 95%CI, 0.14, 0.44), while no significant association with KCO was found in women after adjustment.

Table 4.

Crude and adjusted beta coefficients (β) and 95% confidence intervals (95% CI) from multivariable linear regression models for DLCO parameters, according to demographic, behavioral, and health characteristics among male participants (n=1283).

  DLCO (mL/min/mmHg)VA (L)KCO (mL/min/mmHg/L)
  Crude β (95%CI)  Adjusted β (95%CI  Crude β (95%CI)  Adjusted β (95%CI  Crude β (95%CI)  Adjusted β (95%CI 
Perinatal
Prematurity
No (≥37 weeks)  ref  ref  ref  ref  ref  ref 
Yes (<37 weeks)  −1.84 (−3.00; −0.68)  −0.92 (−2.47; 0.62)  −0.26 (−0.48; −0.05)  −0.20 (−0.50; 0.10)  −0.03 (−0.19; 0.14)  0.10 (−0.15; 0.34) 
Birth weight (grams)
≥2500  ref  ref  ref  ref  ref  ref 
<2500  −1.67 (−2.88; −0.47)  −0.76 (−2.32; 0.78)  −0.26 (−0.48; −0.04)  −0.08 (−0.38; 0.22)  −0.05 (−0.24; 0.12)  −0.09 (−0.34; 0.15) 
Maternal smoking during pregnancy
No  ref  ref  ref  ref  ref  ref 
Yes  −1.18 (−1.81; −0.54)  −0.96 (−1.67; −0.25)  −0.22 (−0.33; −0.10)  −0.19 (−0.33; −0.05)  −0.005 (−0.10; 0.09)  0.02 (−0.10; 0.13) 
At the age of 22
Skin color
White  ref  ref  ref  ref  ref  ref 
Black  −0.34 (−1.24; 0.56)  −0.02 (−0.95; 0.91)  −0.36 (−0.52; −0.19)  −0.29 (−0.47; −0.10)  0.28 (0.15; 0.41)  0.29 (0.14; 0.44) 
Brown  −1.07 (−1.91; −0.23)  0.10 (−0.78; 0.97)  −0.21 (−0.36; −0.05)  −0.07 (−0.24; 0.10)  −0.03 (−0.15; 0.10)  0.06 (−0.08; 0.20) 
Socioeconomic position (quintiles)
1 (lowest)  ref  ref  ref  ref  ref  ref 
0.55 (−0.44; 1.55)  0.62 (−0.49; 1.75)  0.12 (−0.06; 0.30)  0.13 (−0.09; 0.35)  0.01 (−0.14; 0.16)  0.03 (−0.15; 0.20) 
1.23 (0.26; 2.20)  0.27 (−0.80; 1.34)  0.24 (0.06; 0.42)  0.10 (−0.11; 0.32)  0.002 (−0.14; 0.14)  −0.04 (−0.21; 0.12) 
0.45 (−0.52; 1.42)  −0.05 (−1.13; 1.03)  0.17 (−0.01; 0.34)  0.10 (−0.10; 0.32)  −0.04 (−0.18; 0.10)  −0.08 (−0.25; 0.09) 
5 (highest)  1.89 (0.94; 2.86)  1.20 (0.12; 2.28)  0.51 (0.34; 0.69)  0.37 (0.15; 0.58)  −0.10 (−0.24; 0.04)  −0.09 (−0.25; 0.08) 
BMI (kg/m2)
Underweight/Normal (<24.9)  ref  ref  ref  ref  ref  ref 
Overweight (25.0–29.9)  1.28 (0.61; 1.94)  0.77 (0.03; 1.51)  −0.08 (−0.20; 0.05)  −0.13 (−0.28; 0.008)  0.26 (0.16; 0.35)  0.23 (0.11; 0.35) 
Obese (≥30)  −0.07 (−0.96; 0.83)  −0.16 (−1.12; 0.81)  −0.29 (−0.45; −0.12)  −0.29 (−0.48; −0.10)  0.21 (0.09; 0.34)  0.21 (0.06; 0.36) 
Sleep
<7h of sleep  ref  ref  ref  ref  ref  ref 
≥7−0.79 (−1.73; 0.16)  −0.61 (−1.54; 0.31)  −0.09 (−0.27; 0.09)  −0.07 (−0.25; 0.11)  −0.05 (−0.20; 0.09)  −0.05 (−0.19; 0.10) 
Leisure-time physical activity
No activity  ref  ref  ref  ref  ref  ref 
<150min  0.64 (−0.14; 1.43)  0.36 (−0.52; 1.25)  0.10 (−0.05; 0.24)  0.07 (−0.11; 0.24)  0.05 (−0.06; 0.17)  0.03 (−0.11; 0.17) 
>150min  1.27 (0.59; 1.96)  0.83 (0.07; 1.58)  0.14 (0.01; 0.26)  0.11 (−0.04; 0.25)  0.09 (−0.01; 0.19)  0.03 (−0.09; 0.15) 
Wheezing
Never  ref  ref  ref  ref  ref  ref 
Yes, but not in the past 12 months  −0.51 (−1.27; 0.25)  −0.44 (−1.30; 0.41)  −0.12 (−0.26; 0.02)  −0.12 (−0.29; 0.05)  0.03 (−0.08; 0.14)  0.04 (−0.09; 0.18) 
Yes, in the past 12 months  −1.18 (−2.12; −0.23)  −0.02 (−1.05; 1.02)  −0.30 (−0.47; −0.13)  −0.08 (−0.29; 0.12)  0.04 (−0.10; 0.17)  0.07 (−0.10; 0.23) 
Smoking status at 22
Never  ref  ref  ref  ref  ref  ref 
Former smoker  −0.84 (−1.80; 0.11)  −1.03 (−2.25; 0.18)  −0.13 (−0.31; 0.06)  −0.03 (−0.27; −0.21)  −0.02 (−0.17; 0.12)  −0.14 (−0.33; 0.05) 
Smoker (≤10 cigarettes per day)  −4.35 (−5.21; −3.48)  −4.08 (−5.10; −3.06)  −0.48 (−0.64; −0.31)  −0.39 (−0.59; −0.19)  −0.35 (−0.48; −0.22)  −0.39 (−0.55; −0.22) 
Smoker (≥11 cigarettes per day)  −5.16 (−6.14; −4.19)  −4.80 (−6.01; −3.59)  −0.53 (−0.72; −0.34)  −0.40 (−0.64; −0.17)  −0.46 (−0.61; −0.31)  −0.51 (−0.70; −0.32) 

Note: DLCO, AV and KCO estimates were adjusted for height and time since last cigarette consumption. The models were additionally adjusted for all exposure variables included in the table.

DLCO, diffusing capacity of the lung for carbon monoxide; AV, alveolar volume; KCO, transfer coefficient. BMI, body mass index.

Table 5.

Crude and adjusted beta coefficients (β) and 95% confidence intervals (95%CI) from multivariable linear regression models for DLCO parameters, according to demographic, behavioral, and health characteristics among female participants (N=1460).

  DLCO (mL/min/mmHg)VA (L)KCO (mL/min/mmHg/L)
  Crude β (95%CI)  Adjusted β (95%CI)  Crude β (95%CI)  Adjusted β (95%CI)  Crude β (95%CI)  Adjusted β (95%CI) 
Perinatal
Prematurity
No (≥37 weeks)  ref  ref  ref  ref  ref  ref 
Yes (<37 weeks)  0.06 (−0.68; 0.80)  0.90 (−0.08; 1.88)  −0.06 (−0.20; 0.08)  0.09 (−0.10; 0.27)  0.06 (−0.09; 0.20)  0.08 (−0.12; 0.28) 
Birth weight (grams)
≥2500  ref  ref  ref  ref  ref  ref 
<2500  0.08 (−1.49; −0.12)  −1.21 (−2.13; −0.29)  −0.17 (−0.30; −0.04)  −0.29 (−0.46; −0.11)  −0.005 (−0.14; 0.13)  0.04 (−0.15; 0.22) 
Maternal smoking during pregnancy
No  ref  ref  ref  ref  ref  ref 
Yes  −0.04 (−0.49; 0.41)  −0.32 (−0.87; 0.22)  −0.04 (−0.12; 0.05)  −0.05 (−0.15; 0.05)  0.03 (−0.06; 0.12)  −0.003 (−0.11; 0.11) 
At the age of 22
Skin color
White  ref  ref  ref  ref  ref  ref 
Black  −0.10 (−0.73; 0.52)  −0.28 (−0.96; 0.40)  −0.20 (−0.31; −0.08)  −0.19 (−0.33; −0.06)  0.16 (0.04; 0.28)  0.11 (−0.03; 0.25) 
Brown  0.26 (−0.31; 0.83)  0.10 (−0.56; 0.75)  −0.11 (−0.21; 0.001)  −0.12 (−0.24; −0.007)  0.15 (0.05; 0.27)  0.13 (−0.005; 0.26) 
Socioeconomic position (quintiles)
1 (lowest)  ref  ref  ref  ref  ref  ref 
−0.32 (−0.93;−0.30)  0.02 (−0.72; 0.76)  −0.02 (−0.13; 0.09)  0.009 (−0.13; 0.15)  −0.04 (−0.16; 0.08)  −0.001 (−0.15; 0.15) 
−0.96 (−1.58; 0.33)  −0.38 (−1.14; 0.39)  −0.11 (−0.22; 0.01)  −0.05 (−0.20; 0.10)  −0.10 (−0.23; 0.02)  −0.05 (−0.21; 0.10) 
−0.46 (−1.11; 0.19)  −0.05 (−0.85; 0.75)  0.10 (−0.02; 0.22)  0.16 (0.01; 0.31)  −0.18 (−0.31; −0.06)  −0.15 (−0.32; 0.007) 
5 (highest)  −0.83 (−1.51; 0.15)  −0.47 (−1.32; 0.40)  0.03 (−0.09; 0.15)  0.07 (−0.10; 0.23)  −0.21 (−0.34; −0.07)  −0.20 (−0.37; −0.02) 
BMI (kg/m2)
Underweight/Normal (<24.9)  ref  ref  ref  ref  ref  ref 
Overweight (25.0–29.9)  0.38 (−0.14; 0.89)  0.43 (−0.18; 1.03)  −0.10 (−0.19; 0.001)  −0.06 (−0.18; 0.06)  0.18 (0.08; 0.28)  0.16 (0.04; 0.28) 
Obese (≥30)  0.94 (0.39; 1.49)  0.99 (0.32; 1.66)  −0.16 (−0.27; −0.06)  −0.14 (−0.27; −0.01)  0.38 (0.28; 0.49)  0.37 (0.24; 0.51) 
Sleep
<7h of sleep  ref  ref  ref  ref  ref  ref 
≥7−0.15 (−0.67; 0.37)  −0.02 (−0.56; 0.53)  0.04 (−0.06; 0.14)  0.05 (−0.06; 0.15)  −0.04 (−0.15; 0.06)  −0.02 (−0.13; 0.09) 
Leisure-time physical activity
No activity  ref  ref  ref  ref  ref  ref 
<150min  −0.18 (−0.82; 0.46)  −0.05 (−0.82; 0.73)  −0.02 (−0.14; 0.10)  −0.03 (−0.18; 0.12)  −0.03 (−0.15; 0.10)  0.02 (−0.14; 0.17) 
≥150min  0.27 (−0.25; 0.79)  0.42 (−0.21; 1.04)  0.02 (−0.08; 0.12)  −0.04 (−0.16; 0.08)  0.05 (−0.06; 0.15)  0.13 (0.008; 0.26) 
Wheezing
Never  ref  ref  ref  ref  ref  ref 
Yes, but not past 12 months  0.27 (−0.27; 0.80)  0.13 (−0.51; 0.77)  0.06 (−0.04; 0.16)  −0.01 (−0.13; −0.12)  −0.02 (−0.13; 0.08)  0.04 (−0.09; 0.17) 
Yes, in the past 12 months  1.04 (0.31; 1.76)  0.64 (−0.23; 1.52)  0.07 (−0.06; 0.21)  −0.06 (−0.23; 0.11)  0.16 (0.02; 0.30)  0.23 (0.06; 0.41) 
Smoking status at 22
Never smoker  ref  ref  ref  ref  ref  ref 
Former smoker  0.23 (−0.46; 0.91)  0.03 (−0.78; 0.84)  −0.03 (−0.15; 0.10)  0.008 (−0.15; 0.16)  0.07 (−0.08; 0.20)  −0.03 (−0.19; 0.13) 
Smoker (≤10 cigarettes per day)  1.87 (1.19; 2.56)  1.97 (1.06; 2.87)  0.38 (0.25; 0.51)  0.50 (0.33; 0.68)  −0.02 (−0.16; −0.12)  −0.15 (−0.32; 0.04) 
Smoker (≥11 cigarettes per day)  1.80 (0.84; 2.77)  1.52 (0.33; 2.72)  0.46 (0.28; 0.63)  0.51 (0.28; 0.74)  −0.12 (−0.31; −0.08)  −0.25 (−0.49; −0.01) 

Note: DLCO, AV and KCO estimates were adjusted for height and time since last cigarette consumption. The models were additionally adjusted for all exposure variables included in the table.

DLCO, diffusing capacity of the lung for carbon monoxide; AV, alveolar volume; KCO, transfer coefficient; BMI, body mass index.

Regarding late-life exposures, obesity was associated with lower AV and higher KCO in both sexes. Additionally, obese women showed higher DLCO vs those with normal BMI (β=0.99; 95%CI, 0.32, 1.66). Among men, current smokers had significantly lower DLCO, AV, and KCO vs never smokers. These associations were more pronounced among those smoking ≥11cigarettes per day: DLCO (β=−4.80, 95%CI, −6.01, −3.59), AV (β=−0.40; 95%CI, −0.64, −0.17), and KCO (β=−0.51, 95%CI, −0.70, −0.32). In female smokers, DLCO and AV were higher vs never smokers. However, KCO was significantly lower among those smoking ≥11cigarettes per day (β=−0.25; 95%CI, −0.49, −0.01) (Tables 4 and 5).

Sensitive analyses using pack-years to classify smoking exposure confirmed distinct sex-specific patterns. High smoking exposure (≥4.01 pack-years) was more common in men (Supplementary Table S3). Among men, pack-years were consistently associated with lower DLCO, AV, and mainly KCO across all exposure levels (Supplementary Tables S4 and S5). Among women, adjusted models showed that only those with high exposure (≥4.01 pack-years) had higher DLCO and AV, but lower KCO (β=−0.27; 95%CI, −0.47, −0.06) (Supplementary Tables S4 and S5).

Discussion

This study investigated DLCO at the 22-year follow-up of the 1993 Pelotas Birth Cohort, to our knowledge, the first population-based study in Brazil to examine DLCO in early adulthood. Even in this young and healthy population, lower DLCO, AV, and KCO were associated with perinatal exposures, skin color, BMI, and smoking. Adequate diffusing capacity is essential for tissue oxygenation and carbon dioxide elimination, key processes for cardiovascular and body tissues [3]. Therefore, the assessment of alveolar-capillary diffusion extends beyond diagnosing lung disease, serving as an early indicator of systemic health [4].

Perinatal factors such as prematurity, low birth weight, and maternal smoking during pregnancy were associated with lower pulmonary diffusing capacity, in line with previous studies [5,18,19]. These associations likely reflect disruptions in lung development during the critical period between the 22nd and 32nd gestational weeks, when alveolar and capillary structures essential for gas exchange begin to form [20]. Lower birthweight has been associated with reduced adult diffusing capacity, with no consistent sex interactions reported previously. In our study, the association was observed only in women. Among men, although the direction of the association was similar, it was not statistically significant, and the magnitude of the association may be underestimated, possibly due to differential losses associated with birthweight (Supplementary Table S1).

Our results reinforce evidence of ethnic disparities in pulmonary function, as demonstrated in previous population-based studies [21,22]. Black individuals tend to present lower pulmonary function values for a given height, a pattern partly attributed to anthropometric differences, such as a lower trunk-to-limb length ratio. This characteristic may result in reduced thoracic dimensions and lung volumes [23], without necessarily implying impaired gas exchange efficiency [24,25]. Although the literature is inconsistent on whether this reflects actual enhanced efficiency, the combination of elevated KCO with reduced DLCO and AV may represent a compensatory physiological adaptation to lower average hemoglobin concentrations and greater dead space ventilation, optimizing gas-exchange efficiency per unit of VA [24]. On the other hand, this increase may reflect a mathematical artifact of reduced AV rather than a genuine physiological difference [22]. Despite socioeconomic-related losses being more pronounced among men, the pattern and strength of the associations were essentially preserved. This aligns with prior evidence indicating that individuals with higher socioeconomic status tend to have more favorable pulmonary outcomes [26].

BMI was associated with lower AV but higher DLCO and KCO values, consistent with patterns reported in previous studies [7,27]. These findings do not necessarily indicate enhanced gas exchange efficiency; instead, they likely reflect a compensatory mechanism involving increased pulmonary blood volume and vascular recruitment [31]. The elevated circulating blood volume commonly observed in obesity may further contribute to higher KCO [27].

Overall, performing at least 150min of leisure-time physical activity per week improved almost all parameters in both sexes, especially the DLCO in men and KCO in women. Exercise enhances oxygen uptake by increasing pulmonary capillary recruitment and distensibility, improving diffusing capacity, and supporting a higher oxygen consumption (VO2) peak [29]. As this relationship persists even after adjusting for body and lung size, regular physical activity likely contributes to better gas-exchange efficiency, helping explain our findings [29]. There is biological plausibility for a link between sleep duration and diffusing capacity, as adequate sleep contributes to autonomic regulation, inflammatory balance, and cellular repair [30,31], all of which contribute to maintaining alveolar–capillary function [22]. However, we did not observe this association in our analysis.

Cigarette smoking was associated with alterations in lung diffusing capacity, and our findings align with previous evidence showing smoking-related reductions in pulmonary diffusion capacity [2,6,12,32]. The lower diffusion capacity observed among smokers likely reflects early impairment of the alveolar–capillary membrane and reduced gas-exchange efficiency [33]. These changes are consistent with the known biological effects of cigarette smoke—chronic inflammation, oxidative stress, and profibrotic mechanisms that promote alveolar destruction, loss of lung elasticity, and fibrotic remodeling [34,35]. In addition, smoking may further reduce measured DLCO because increased carboxyhemoglobin (COHb) competes with the tracer gas for hemoglobin binding, reducing the adequate capacity for gas transfer [33,36]. In our study, DLCO values were not corrected for hemoglobin or COHb levels because these measurements were unavailable at the 22-year follow-up. This limitation could result in a slight underestimation of diffusion capacity, particularly among individuals with anemia or recent carbon monoxide exposure (e.g., smokers) [22]. However, as all analyses were adjusted for the time since the last cigarette, any bias related to transient COHb elevation is likely to be minimal [37].

About sex differences, male smokers exhibit lower DLCO, AV, and KCO values, which aligns with the expected effects of tobacco exposure on diffusion capacity [2,6,12,32]. Among female smokers, DLCO and AV are higher vs never smokers, a pattern that is not expected. Even so, smoking still appeared to impair diffusion efficiency in women: daily cigarette consumption was associated with lower KCO, even after adjustment for lung volume. Sensitivity analyses confirmed lower gas-exchange efficiency, showing that women with ≥4.01 pack-years had lower KCO values (Supplementary Table S5). Former studies have reported sex-specific differences in the respiratory effects of smoking [6,12,38]. Impairments tend to be more pronounced in men. At the same time, in women, the changes are generally subtler and more closely related to cumulative exposure [38], likely reflecting differences in smoking patterns and lifetime exposure between the sexes. As secondary hypotheses, we considered alternative explanations, including hormonal influences, such as menstrual-cycle fluctuations, which are known to affect DLCO among women of reproductive age [39]. Of note, sex-related differences were most pronounced in women for KCO. This reinforces the need to interpret DLCO along with AV and KCO, since increases in AV may mask underlying impairments in gas-exchange efficiency [4,22]. These findings indicate a deleterious impact of smoking on diffusion capacity [2,6,12,32], even when DLCO alone does not appear reduced.

Our study has several strengths. We used data from a large, population-based birth cohort with standardized protocols and robust follow-up, supporting a broader applicability of the conclusions. On the other hand, this study has limitations that should be considered when interpreting the results: (1) Participant differences: despite differential losses related to socioeconomic status and birthweight among men, the direction and magnitude of the associations remained unchanged; however, these associations can be underestimated. (2) DLCO measurements: Values were not corrected for hemoglobin or COHb, which were not measured at 22 years. This fact slightly underestimates diffusion capacity, particularly in anemic individuals or recent smokers [33]. Given the young, generally healthy profile of the cohort and the adjustment for time since the last cigarette, the risk of bias is likely to be low. (3) Lung volume measurement: Because TLC reflects both alveolar volume and residual volume (dead space), relying solely on AV omits important information [40]. Increases in RV—common in smokers (air trapping) and in individuals with obesity (restricted inspiratory expansion)—can reduce AV and consequently affect DLCO and KCO. As a result, our estimates may underestimate the true magnitude of the associations, and this limitation should be taken into consideration when interpreting the findings.

In this population of young adults, our findings demonstrate that pulmonary diffusing capacity is influenced by early-life exposures, skin color, body mass index, and tobacco smoking. These results underscore the importance of assessing DLCO, KCO, and AV together, even in asymptomatic individuals, as early alterations may reflect subclinical impairments and signal increased vulnerability to long-term respiratory and systemic diseases. As an indirect measure of gas exchange, DLCO reflects not only pulmonary function but also the integration of ventilation, perfusion, and systemic health. Therefore, it may serve as a sensitive early marker of susceptibility to pulmonary and systemic damage, helping to identify individuals who could benefit from targeted preventive strategies.

However, its use as a population-based screening tool may not be cost-effective, as feasibility and resource availability vary across settings. Instead, early DLCO assessment may be more appropriate in selected vulnerable groups, such as smokers or individuals with obesity, who are more likely to present subclinical alterations in alveolar-capillary function. From a public health perspective, focusing on interventions that modify exposures at this stage, particularly smoking cessation, weight control, and improvements in perinatal health, may represent a more effective strategy to reduce the future burden of respiratory diseases, including COPD.

Authors contributions

L. Picanço: Contributed to the study design, data analysis, drafting of the manuscript, and critical revision for important intellectual content. A.M.B. Menezes: Contributed to data management, study coordination, and critical revision of the manuscript. P.D. de Oliveira: Responsible for data handling, project supervision, and manuscript editing. P. Weber: Contributed to the critical review and editing of the manuscript. R. Perez-Padilla: Provided intellectual input during manuscript review and editing. F.C. Wehrmeister: Involved in study conception, data supervision, project coordination, statistical analysis, manuscript drafting, and critical revision.

Ethics statement

The study protocol for the 22-year follow-up was approved by the Ethics and Research Committee of the School of Medicine, Federal University of Pelotas (protocol No. 1.250.366). All procedures involving human participants were conducted in accordance with the ethical standards of the institutional and national research committees and with the principles of the Declaration of Helsinki and its subsequent amendments. Written informed consent was obtained from all participants before each assessment.

Artificial intelligence involvement

Artificial intelligence tools (ChatGPT, OpenAI) were used solely to assist with English grammar, spelling, and language clarity. The authors reviewed and approved all content.

Funding

This study used data from the 1993 Pelotas Birth Cohort, conducted by the Postgraduate Program in Epidemiology at the Federal University of Pelotas. The 22-year follow-up was funded by the Department of Science and Technology (DECIT), Brazilian Ministry of Health. Throughout the years, the cohort has received support from multiple centers, including the Coordination for the Improvement of Higher Education Personnel (CAPES), Wellcome Trust (supporting capacity building in low- and middle-income countries), National Program for Centers of Excellence (PRONEX), National Council for Scientific and Technological Development (CNPq), Research Support Foundation of the State of Rio Grande do Sul (FAPERGS), Brazilian Ministry of Health, and the Brazilian Association of Collective Health (ABRASCO).

Conflicts of interest

None declared.

Data availability statement

Data from the 1993 Pelotas Birth Cohort are not publicly available due to ethical restrictions and data protection regulations. Requests for access may be considered on a case-by-case basis upon reasonable request to the corresponding author.

Uncited references

[14,28].

Appendix A
Supplementary data

The followings are the supplementary data to this article:

Icono mmc1.doc

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