Literature DB >> 30114006

Prevalence of Five Health-Related Behaviors for Chronic Disease Prevention Among Sexual and Gender Minority Adults - 25 U.S. States and Guam, 2016.

Timothy J Cunningham1, Fang Xu1, Machell Town1.   

Abstract

In recent decades, public health awareness of health disparities among lesbian, gay, bisexual, and transgender (LGBT) populations has increased (1). Healthy People 2020 included objectives to improve health of LGBT persons.† Five key health-related behaviors were found to be likely associated with reduced all-cause mortality: never smoking, performing regular physical activity, consuming no or moderate amounts of alcohol, having a normal body weight, and obtaining sufficient sleep daily (2). CDC estimated these five health-related behaviors among adults aged ≥21 years by sexual orientation and transgender status using data from the 2016 Behavioral Risk Factor Surveillance System (BRFSS) in 25 U.S. states and Guam. Patterns of these five health-related behaviors varied by sexual orientation among men and women, and among transgender adults. Lesbian and bisexual women were less likely to engage in all five health-related behaviors than were heterosexual women (5.4% and 6.9%, respectively, versus 10.6%). Compared with cisgender§ adults, male-to-female transgender adults were less likely to engage in any two of five health-related behaviors (12.3% versus 18.6%). Male-to-female transgender adults, however, were more likely to engage in any three of five health-related behaviors than were female-to-male transgender adults (47.2% versus 28.2%). The number of health-related behaviors did not differ between gay or bisexual men and heterosexual men. Continued efforts are needed to target LGBT populations for overall well-being, including strategies for health promotion and engagement in health-related behaviors.

Entities:  

Mesh:

Year:  2018        PMID: 30114006      PMCID: PMC6095649          DOI: 10.15585/mmwr.mm6732a4

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


BRFSS is an annual state-based, random-digit–dialed telephone survey of noninstitutionalized U.S. adults aged ≥18 years, which collects information on health-related topics. In 2016, the median response rate of the combined landline and cellular telephone surveys from the 25 states** and Guam that participated in the sexual orientation and gender identity module was 42.8%. Based on the self-reported responses of adults aged ≥21 years, sexual orientation was defined as being straight (heterosexual), lesbian or gay, bisexual, and other, and gender identity was defined as being not transgender (cisgender), transgender male-to-female, transgender female-to-male, and transgender nonconforming. The prevalence and 95% confidence intervals of demographic characteristics (age, race/ethnicity, education, marital status, current employment status, household income, and home ownership) and of engaging in the five health-related behaviors was estimated by sexual orientation status for men and women separately, and by transgender status. The health-related behaviors included 1) not currently cigarette smoking, 2) moderate or no drinking, 3) having a normal body weight, 4) engaging in any leisure-time physical activity, and 5) sleeping ≥7 hours, on average, during a 24-hour period. The number of the five health-related behaviors reported were categorized into five groups (0/1, 2, 3, 4, or 5). Because of small sample sizes, some categories of demographic characteristics and counts of health-related behaviors were collapsed when analyzing transgender status. Chi-squared tests were used to compare an overall difference for nominal variables and to test a trend difference for ordinal variables by sexual orientation in men and women, and by transgender status. Pairwise tests with linear contrasts were used to assess group differences with statistical significance set at p<0.05. Statistical software that accounts for survey weights and complex survey designs was used to conduct all analyses. All comparisons presented were statistically significant. In 2016, among 86,185 men who answered the sexual orientation question, 92.7% reported being heterosexual, 2.2% reported being gay, and 1.5% reported being bisexual; among 114,842 women, 91.7% reported being heterosexual, 1.3% reported being lesbian, and 2.3% reported being bisexual (Table 1). Overall, sexual minority adults were younger than their heterosexual counterparts. Being a college graduate was more prevalent among gay men (42.0%) than among heterosexual men (27.9%) and bisexual men (23.3%). Among women, having a household income ≥$75,000 was less prevalent among bisexual women (18.9%) than among lesbian women (33.4%) and heterosexual women (27.4%), and being currently unemployed was more prevalent among bisexual women (35.3%) than among lesbian women (26.6%) and heterosexual women (28.4%). Overall, being single and renting a home were more prevalent among sexual minority adults.
TABLE 1

Distribution of demographics and health-related behaviors, among adults aged ≥21 years, by sexual orientation* — Behavioral Risk Factor Surveillance System, 25 U.S. states and Guam, 2016

CharacteristicNo. (%)Male (n = 86,185)
Female§ (n = 114,842)
Straight
Gay
Bisexual
Other/Don’t know/Refused
Straight
Lesbian
Bisexual
Other/Don’t know/Refused
(N = 80,987)
(N = 1,748)
(N = 1,139)
(N = 2,311)
(N = 107,599)
(N = 1,190)
(N = 1,969)
(N = 4,084)
% (95% CI)% (95% CI)% (95% CI)% (95% CI)% (95% CI)% (95% CI)% (95% CI)% (95% CI)
Overall
201,027 (100)
92.7 (92.3−93.0)
2.2 (2.0−2.4)
1.5 (1.4−1.7)
3.7 (3.4−4.0)
91.7 (91.3−92.0)
1.3 (1.1−1.4)
2.3 (2.1−2.5)
4.8 (4.5−5.1)
Age group (yrs)
21–24
6,304 (6.9)
6.8 (6.5−7.2)
11.6 (8.6−15.5)
13.5 (10.4−17.2)
4.8 (3.2−7.1)
6.4 (6.0−6.8)
12.2 (7.3−19.7)
23.4 (20.1−27.0)
5.4 (3.9−7.6)
25–34
19,092 (17.1)
17.6 (17.0−18.1)
24.8 (21.1−28.8)
29.6 (24.1−35.6)
16.0 (12.8−19.7)
15.8 (15.3−16.3)
22.5 (17.8−28.0)
35.9 (32.2−39.7)
15.5 (13.0−18.3)
35–44
22,712 (17.1)
17.6 (17.1−18.1)
13.8 (11.2−17.0)
15.1 (11.7−19.3)
20.4 (17.0−24.4)
16.5 (16.1−17.0)
16.9 (12.2−23.1)
18.1 (15.2−21.4)
18.7 (15.9−21.9)
45–54
32,514 (18.4)
18.8 (18.3−19.4)
21.8 (18.5−25.5)
14.7 (11.6−18.4)
16.0 (13.3−19.2)
18.3 (17.8−18.8)
21.1 (16.8−26.2)
10.5 (8.4−13.0)
16.1 (13.7−18.9)
55–64
45,703 (18.5)
18.8 (18.3−19.3)
17.1 (13.7−21.2)
14.5 (11.4−18.3)
18.4 (15.2−22.2)
18.7 (18.3−19.2)
13.8 (11.1−16.9)
6.0 (4.7−7.6)
16.3 (13.5−19.7)
≥65
72,269 (22.1)
20.3 (19.9−20.8)
10.8 (8.7−13.4)
12.7 (9.8−16.4)
24.3 (20.9−28.1)
24.3 (23.8−24.8)
13.5 (8.4−20.8)
6.2 (4.9−7.9)
27.9 (25.2−30.7)
Race/Ethnicity
White, non-Hispanic
155,778 (63.1)
64.7 (64.0−65.4)
66.1 (61.2−70.7)
59.5 (53.8−64.9)
27.3 (24.2−30.7)
64.6 (63.9−65.2)
58.4 (50.9−65.5)
65.9 (61.9−69.6)
28.7 (26.0−31.5)
Black, non-Hispanic
13,884 (10.6)
9.8 (9.4−10.2)
8.9 (6.5−12.1)
14.2 (10.6−18.7)
6.4 (4.7−8.6)
11.6 (11.2−12.1)
13.5 (9.9−18.1)
10.0 (7.9−12.7)
7.2 (5.8−9.0)
Hispanic
13,968 (17.6)
16.8 (16.2−17.5)
14.2 (11.3−17.8)
17.3 (13.2−22.4)
51.5 (47.0−56.0)
15.9 (15.4−16.5)
16.7 (11.2−24.1)
14.6 (11.7−18.0)
47.6 (44.0−51.3)
Other, non-Hispanic
9,459 (7.2)
7.2 (6.8−7.6)
9.0 (5.8−13.9)
7.0 (4.8−9.9)
14.3 (10.9−18.5)
6.6 (6.1−7.0)

5.7 (4.0−8.0)
15.9 (12.6−19.8)
Multiracial
4,618 (1.4)
1.5 (1.3−1.7)
1.7 (1.1−2.7)


1.3 (1.2−1.5)

3.9 (2.8−5.3)
0.6 (0.4−0.9)
Education
Less than HS
15,216 (14.8)
14.1 (13.5−14.7)
5.0 (3.2−7.7)
14.9 (11.2−19.7)
51.7 (47.4−56.1)
12.8 (12.4−13.4)
12.0 (7.8−18.0)
10.8 (8.4−13.9)
45.9 (42.4−49.5)
HS diploma or GED
54,997 (27.0)
28.9 (28.3−29.5)
20.8 (16.7−25.5)
26.6 (22.3−31.5)
20.4 (17.4−23.8)
25.9 (25.4−26.4)
20.7 (15.4−27.3)
23.9 (20.9−27.2)
25.7 (22.6−29.0)
Some college
53,257 (30.5)
29.1 (28.5−29.8)
32.2 (28.1−36.7)
35.2 (29.7−41.0)
14.6 (11.8−17.8)
32.7 (32.1−33.3)
34.2 (27.6−41.5)
39.3 (35.4−43.4)
16.6 (14.2−19.2)
College graduate
76,931 (27.7)
27.9 (27.4−28.4)
42.0 (37.8−46.2)
23.3 (19.7−27.3)
13.3 (11.3−15.6)
28.6 (28.1−29.1)
33.0 (27.9−38.7)
25.9 (23.1−29.0)
11.8 (10.2−13.7)
Marital status
Married
106,354 (54.3)
57.6 (56.9−58.3)
19.5 (16.5−22.9)
30.9 (26.1−36.1)
59.1 (54.8−63.1)
53.4 (52.8−54.1)
30.1 (24.7−36.1)
29.2 (25.9−32.8)
47.4 (43.8−51.1)
Single**
34,844 (24.4)
25.9 (25.2−26.5)
71.5 (67.6−75.1)
54.5 (49.1−59.9)
24.9 (21.5−28.6)
20.6 (20.1−21.2)
52.8 (45.9−59.6)
51.3 (47.4−55.2)
21.3 (18.6−24.2)
Others
58,698 (21.4)
16.5 (16.1−17.0)
9.0 (6.8−11.7)
14.6 (11.6−18.2)
16.1 (13.5−19.0)
26.0 (25.4−26.5)
17.1 (11.6−24.4)
19.5 (16.5−22.8)
31.3 (28.4−34.4)
Employment ††
Currently employed
99,608 (58.2)
66.8 (66.2−67.4)
66.3 (61.8−70.6)
61.8 (56.2−67.1)
64.7 (60.7−68.5)
50.9 (50.2−51.5)
60.3 (53.1−67.0)
59.9 (56.0−63.7)
35.4 (32.1−38.9)
Not currently employed
36,923 (22.2)
14.1 (13.6−14.6)
20.3 (17.0−24.1)
25.2 (20.5−30.6)
15.2 (12.6−18.2)
28.4 (27.8−29.0)
26.6 (21.1−33.0)
35.3 (31.6−39.1)
44.7 (41.1−48.3)
Retired
63,211 (19.6)
19.1 (18.6−19.6)
13.4 (10.1−17.5)
13.0 (9.9−16.9)
20.1 (17.2−23.3)
20.7 (20.3−21.2)
13.1 (8.2−20.4)
4.8 (3.6−6.3)
19.9 (17.7−22.3)
Household income ($)
<25,000
44,739 (23.3)
19.6 (19.0−20.1)
22.6 (19.2−26.4)
29.0 (24.4−34.1)
40.9 (36.7−45.2)
24.6 (24.1−25.2)
27.3 (21.4−34.2)
33.6 (30.0−37.5)
43.2 (39.8−46.7)
≥25,000−34,999
18,289 (8.8)
8.7 (8.3−9.1)
5.9 (4.4−7.9)
14.5 (10.7−19.3)
11.5 (8.9−14.8)
9.0 (8.6−9.3)
7.4 (4.9−11.1)
8.3 (6.6−10.3)
6.5 (5.3−7.9)
≥35,000−50,000
24,742 (11.7)
12.4 (11.9−12.8)
14.2 (10.4−19.2)
11.7 (8.8−15.3)
7.9 (5.8−10.7)
11.4 (11.0−11.8)
9.3 (6.9−12.3)
12.5 (9.9−15.8)
6.7 (4.9−8.9)
≥50,000−74,999
28,138 (13.0)
14.1 (13.7−14.6)
14.9 (12.1−18.1)
7.2 (5.4−9.5)
6.8 (4.7−9.8)
12.8 (12.4−13.3)
12.5 (9.1−16.9)
11.2 (8.9−14.0)
3.2 (2.1−4.9)
≥$75,000
57,018 (29.5)
34.2 (33.6−34.8)
34.2 (30.3−38.3)
24.1 (19.6−29.3)
9.3 (7.5−11.5)
27.4 (26.9−28.0)
33.4 (26.9−40.7)
18.9 (16.2−22.0)
5.4 (4.2−6.9)
Don't know/ Refused
28,101 (13.7)
11.1 (10.7−11.5)
8.2 (6.2−10.8)
13.6 (10.0−18.1)
23.5 (20.4−27.0)
14.7 (14.3−15.2)
10.1 (7.1−14.1)
15.4 (12.9−18.4)
35.1 (31.7−38.5)
Home ownership
Own
145,421 (72.5)
73.3 (72.7−73.8)
60.7 (56.3−64.9)
56.2 (50.5−61.8)
55.8 (51.4−60.2)
74.2 (73.7−74.8)
67.4 (61.4−72.9)
46.8 (42.7−50.9)
58.0 (54.5−61.4)
Rent
47,743 (27.5)
26.7 (26.2−27.3)
39.3 (35.1−43.7)
43.8 (38.2−49.5)
44.2 (39.8−48.6)
25.8 (25.2−26.3)
32.6 (27.1−38.6)
53.2 (49.1−57.3)
42.0 (38.6−45.5)
Health-related behaviors §§
No current cigarette smoking
169,483 (83.7)
81.4 (80.9−81.9)
77.0 (73.0−80.6)
77.1 (72.3−81.2)
84.4 (80.8−87.4)
86.0 (85.6−86.4)
75.0 (68.6−80.4)
71.7 (68.2−75.0)
94.3 (92.7−95.5)
Moderate or no drinking
131,609 (63.8)
60.8 (60.1−61.5)
51.8 (47.3−56.3)
59.1 (53.7−64.3)
71.1 (66.6−75.1)
66.2 (65.6−66.8)
50.6 (43.7−57.5)
47.1 (43.2−51.1)
86.1 (83.6−88.3)
Having a normal weight
58,649 (31.2)
25.0 (24.4−25.6)
40.3 (35.7−45.1)
29.8 (25.3−34.8)
25.2 (21.8−29.1)
37.0 (36.4−37.6)
30.4 (25.0−36.4)
35.8 (32.0−39.8)
36.4 (32.5−40.6)
Any leisure-time physical activity
150,477 (75.3)
77.9 (77.4−78.5)
82.0 (78.4−85.0)
78.1 (73.2−82.3)
63.2 (58.8−67.4)
73.8 (73.3−74.4)
80.6 (75.7−84.7)
77.6 (74.2−80.7)
59.5 (56.0−63.0)
Sleeping ≥7 hours/24-hour period
134,453 (65.0)
64.2 (63.6−64.9)
63.9 (59.1−68.4)
59.3 (53.8−64.6)
68.2 (63.8−72.2)
65.9 (65.3−66.5)
55.3 (48.0−62.3)
56.1 (52.2−60.0)
67.2 (63.8−70.5)
No. of health-related behaviors
0 and 1
9,163 (5.8)
6.6 (6.3−7.0)
6.5 (4.6−9.2)
8.5 (5.9−12.2)
6.1 (4.3−8.4)
4.9 (4.6−5.2)
10.0 (6.5−15.0)
10.7 (8.5−13.6)
2.6 (1.6−4.2)
2
31,368 (18.6)
20.0 (19.5−20.6)
17.9 (15.0−21.2)
20.4 (16.3−25.3)
20.1 (15.7−25.3)
17.2 (16.7−17.7)
23.0 (16.7−30.8)
26.7 (23.0−30.8)
11.7 (9.8−14.1)
3
64,600 (35.2)
36.7 (36.1−37.4)
37.2 (33.0−41.7)
36.2 (31.1−41.6)
36.5 (31.9−41.4)
33.7 (33.1−34.3)
37.2 (30.3−44.6)
32.5 (28.8−36.4)
35.6 (31.7−39.7)
4
60,702 (31.7)
29.8 (29.2−30.5)
30.1 (25.6−35.0)
26.7 (21.8−32.1)
29.9 (25.9−34.2)
33.7 (33.1−34.3)
24.4 (19.7−29.9)
23.2 (19.9−26.8)
38.7 (34.4−43.1)
517,696 (8.7)6.8 (6.5−7.2)8.2 (6.2−10.9)8.3 (6.0−11.3)7.4 (5.7−9.6)10.6 (10.1−11.0)5.4 (3.5−8.1)6.9 (5.2−9.0)11.4 (9.2−14.0)

Abbreviations: CI = confidence interval; GED = general educational development high school equivalency diploma; HS = high school.

* Sexual orientation is based on responses to a question, “Do you consider yourself to be straight, lesbian, gay, bisexual, other, or don’t know/not sure?”

† Significant associations (p<0.05) between status of sexual orientation and characteristics included age, education, household income (Cochran-Mantel-Haenszel chi-squared for trends), marital status, employment, home ownership, not currently smoking cigarettes, moderate or no drinking, and having a normal weight (Cochran-Mantel-Haenszel chi-squared for general association). Other/Don’t know/Refused was not included in the test.

§ Significant associations (p<0.05) between status of sexual orientation and characteristics included age, household income, number of health-related behaviors (Cochran-Mantel-Haenszel chi-squared for trends), race/ethnicity, marital status, employment, home ownership, not currently smoking cigarettes, moderate or no drinking, any leisure-time exercise, and sufficient sleep (≥7 hours) (Cochran-Mantel-Haenszel chi-squared for general association). Other/Don’t know/Refused was not included in the comparison.

¶ Data are suppressed if relative standard error >0.3 or sample size <50. Relative standard error was calculated as a ratio of standard error and mean of the estimate.

** Single includes those who were never married or a member of an unmarried couple.

†† Employment status is defined as retired, and employed if responses are “currently employed for wages” or “currently self-employed,” “Not employed” included adults who were currently out of work, a homemaker, a student, or unable to work.

§§ Not a current cigarette smoker were respondents who reported not having smoked 100 cigarettes or more in their lifetime or having smoked at least 100 cigarettes in their lifetime but not smoking at the time of the survey. Moderate or no drinking in the past 30 days was defined as respondents’ self-reported no alcohol drinking or drinking ≤2 alcoholic drinks per day for men and ≤1 alcoholic drink per day for women, and not binge drinking or heavy drinking. Binge drinking was defined as drinking ≥5 drinks on one occasion for men and ≥4 drinks on one occasion for women. Heavy drinking was defined as drinking ≥15 drinks per week for men and ≥8 drinks per week for women in the past 30 days. Having a normal body weight was defined as body mass index ≥18.5 kg/m2 and <25 kg/m2. Any leisure-time physical activity was defined as an affirmative response to a question, “During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?” Sufficient sleep was defined ≥7 hours in response to the question, “On average, how many hours of sleep do you get in a 24-hour period?”

Abbreviations: CI = confidence interval; GED = general educational development high school equivalency diploma; HS = high school. * Sexual orientation is based on responses to a question, “Do you consider yourself to be straight, lesbian, gay, bisexual, other, or don’t know/not sure?” † Significant associations (p<0.05) between status of sexual orientation and characteristics included age, education, household income (Cochran-Mantel-Haenszel chi-squared for trends), marital status, employment, home ownership, not currently smoking cigarettes, moderate or no drinking, and having a normal weight (Cochran-Mantel-Haenszel chi-squared for general association). Other/Don’t know/Refused was not included in the test. § Significant associations (p<0.05) between status of sexual orientation and characteristics included age, household income, number of health-related behaviors (Cochran-Mantel-Haenszel chi-squared for trends), race/ethnicity, marital status, employment, home ownership, not currently smoking cigarettes, moderate or no drinking, any leisure-time exercise, and sufficient sleep (≥7 hours) (Cochran-Mantel-Haenszel chi-squared for general association). Other/Don’t know/Refused was not included in the comparison. ¶ Data are suppressed if relative standard error >0.3 or sample size <50. Relative standard error was calculated as a ratio of standard error and mean of the estimate. ** Single includes those who were never married or a member of an unmarried couple. †† Employment status is defined as retired, and employed if responses are “currently employed for wages” or “currently self-employed,” “Not employed” included adults who were currently out of work, a homemaker, a student, or unable to work. §§ Not a current cigarette smoker were respondents who reported not having smoked 100 cigarettes or more in their lifetime or having smoked at least 100 cigarettes in their lifetime but not smoking at the time of the survey. Moderate or no drinking in the past 30 days was defined as respondents’ self-reported no alcohol drinking or drinking ≤2 alcoholic drinks per day for men and ≤1 alcoholic drink per day for women, and not binge drinking or heavy drinking. Binge drinking was defined as drinking ≥5 drinks on one occasion for men and ≥4 drinks on one occasion for women. Heavy drinking was defined as drinking ≥15 drinks per week for men and ≥8 drinks per week for women in the past 30 days. Having a normal body weight was defined as body mass index ≥18.5 kg/m2 and <25 kg/m2. Any leisure-time physical activity was defined as an affirmative response to a question, “During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?” Sufficient sleep was defined ≥7 hours in response to the question, “On average, how many hours of sleep do you get in a 24-hour period?” Compared with heterosexual men, gay men had a lower prevalence of not currently smoking cigarettes (77.0% versus 81.4%) and moderate or no drinking (51.8% versus 60.8%), but had a higher prevalence of performing any leisure-time exercise (82.0% versus 77.9%); gay men also had a higher prevalence of having a normal body weight (40.3%) than did bisexual (29.8%) and heterosexual men (25.0%). The prevalence of not currently smoking cigarettes, moderate or no alcohol consumption, and getting ≥7 hours’ sleep during a 24-hour period was higher among heterosexual women (86.0%, 66.2%, and 65.9%, respectively) than among lesbian (75.0%, 50.6%, and 55.3%, respectively) and bisexual women (71.7%, 47.1%, and 56.1%, respectively). Engaging in any leisure-time exercise was more prevalent among lesbian (80.6%) and bisexual women (77.6%) than among heterosexual women (73.8%); however, having a normal body weight was less prevalent among lesbian women (30.4%) than among heterosexual women (37.0%); the difference in prevalence between heterosexual women and bisexual women (35.8%) was not statistically significant. In addition, the prevalence of reporting zero or one health-related behavior was higher among lesbian (10.0%) and bisexual (10.7%) women than among heterosexual women (4.9%), and the prevalence of reporting all five health-related behaviors was lower among lesbian (5.4%) and bisexual (6.9%) women than among heterosexual women (10.6%) (Table 1). Among 200,874 adults from the 25 states and Guam who answered the gender identity question, 98.3% reported being cisgender, 0.2% reported being male-to-female transgender, and 0.1% each reported being female-to-male transgender and transgender nonconforming (Table 2). Being a college graduate was more prevalent among cisgender adults (27.9%) than among transgender male-to-female adults (9.8%). Being single was more prevalent among transgender female-to-male (40.3%) and transgender nonconforming adults (55.4%) than cisgender adults (24.4%). The prevalence of having household income of <$25,000 and renting versus owning a home was higher among transgender adults than among cisgender adults.
TABLE 2

Distribution of demographics and health-related behaviors, among adults aged ≥21 years, by transgender status* — Behavioral Risk Factor Surveillance System, 25 U.S. states and Guam, 2016

CharacteristicNo. (%)Cisgender
Transgender, male-to-female
Transgender, female-to-male
Transgender, nonconforming
Don’t know/Refused
(N = 197,966)
(N = 344)
(N = 234)
(N = 167)
(N = 2,163)
% (95% CI)% (95% CI)% (95% CI)% (95% CI)% (95% CI)
Overall
200,874 (100)
98.3 (98.1−98.4)
0.2 (0.2−0.3)
0.1 (0.1−0.2)
0.1 (0.1−0.1)
1.3 (1.2−1.4)
Age group (yrs) §
21–44
48,079 (41.1)
41.1 (40.7−41.6)
45.8 (33.5−58.6)
53.5 (41.6−65.0)
66.6 (54.8−76.6)
29.3 (25.0−34.0)
45–64
78,160 (36.8)
36.9 (36.4−37.3)
39.5 (26.9−53.7)
28.0 (19.2−38.0)
23.4 (15.1−34.5)
36.9 (32.0−42.2)
≥65
72,207 (22.1)
22.0 (21.7−22.3)
14.7 (9.4−22.4)
19.0 (12.9−27.0)

33.7 (29.5−38.3)
Race/Ethnicity
White, non-Hispanic
155,668 (63.1)
63.5 (63.0−63.9)
50.2 (37.3−63.0)
56.4 (43.5−68.5)
46.8 (34.4−59.7)
36.1 (31.9−40.5)
Black, non-Hispanic
13,873 (10.6)
10.6 (10.3−10.9)



9.8 (7.5−12.7)
Hispanic
13,953 (17.6)
17.4 (17.0−17.8)



35.2 (30.3−40.4)
Other, non-Hispanic
14,070 (8.7)
8.5 (8.2−8.9)



18.9 (14.0−24.9)
Education §
Less than HS
15,192 (14.7)
14.4 (14.1−14.8)
32.8 (20.4−48.3)


36.8 (32.0−41.9)
HS diploma or GED
54,934 (27.0)
27.0 (26.6−27.3)
28.8 (20.3−39.0)
33.9 (24.1−45.5)
29.4 (18.1−43.9)
28.8 (24.3−33.7)
Some college
53,220 (30.5)
30.7 (30.2−31.1)
28.6 (18.0−42.3)
34.5 (23.0−48.1)
38.2 (26.2−51.8)
18.7 (15.3−22.7)
College graduate
76,905 (27.7)
27.9 (27.6−28.3)
9.8 (6.2−15.2)

19.8 (12.5−29.9)
15.7 (13.1−18.6)
Marital status**
Married
106,277 (54.3)
54.3 (53.9−54.8)
47.7 (34.9−60.8)
33.0 (23.1−44.6)
27.4 (18.5−38.5)
55.0 (50.1−59.7)
Single††
34,824 (24.4)
24.4 (24.0−24.8)
34.3 (23.7−46.6)
40.3 (28.5−53.2)
55.4 (42.6−67.6)
18.1 (14.8−21.8)
Others
58,646 (21.4)
21.3 (20.9−21.6)
18.1 (12.1−26.1)
26.8 (17.9−38.0)

27.0 (23.1−31.2)
Employment §§
Currently employed
99,548 (58.2)
58.3 (57.9−58.8)
61.4 (49.7−72.0)
51.7 (39.6−63.6)
50.8 (37.7−63.7)
46.2 (41.3−51.2)
Not currently employed
36,894 (22.2)
22.1 (21.7−22.5)
24.2 (16.2−34.4)
30.9 (21.4−42.5)

27.8 (23.4−32.8)
Retired
63,149 (19.6)
19.6 (19.2−19.9)
14.4 (9.1−21.9)
17.3 (11.3−25.7)

26.0 (22.4−30.0)
Household income ($)
<25,000
44,686 (23.3)
23.1 (22.8−23.5)
36.4 (25.9−48.2)
43.7 (32.0−56.2)
41.2 (28.6−55.0)
27.3 (23.5−31.3)
25,000−74,999
71,127 (33.5)
33.7 (33.3−34.1)
30.6 (18.3−46.4)
30.8 (21.5−41.9)
35.1 (23.7−48.4)
20.6 (16.7−25.2)
≥75,000
56,997 (29.5)
29.9 (29.5−30.3)
14.1 (8.9−21.7)


8.2 (6.3−10.7)
Don't know/Refused
28,064 (13.7)
13.3 (13.0−13.6)



43.9 (39.1−48.8)
Home ownership**
Own
145,317 (72.5)
72.7 (72.3−73.0)
55.8 (42.7−68.1)
53.4 (41.0−65.4)
53.3 (39.0−67.0)
64.3 (59.5−68.7)
Rent
47,701 (27.5)
27.3 (27.0−27.7)
44.2 (31.9−57.3)
46.6 (34.6−59.0)
46.7 (33.0−61.0)
35.7 (31.3−40.5)
Health-related behavior ¶¶
No current cigarette smoking
169,349 (83.7)
83.7 (83.4−84.0)
79.1 (68.5−86.8)
72.9 (59.1−83.3)
85.1 (75.2−91.6)
89.6 (86.6−92.0)
Moderate or no drinking
131,494 (63.8)
63.6 (63.2−64.0)
74.2 (62.7−83.1)
70.3 (57.9−80.4)
61.4 (47.7−73.4)
80.8 (76.0−84.8)
Having a normal weight
58,606 (31.2)
31.2 (30.7−31.6)
23.9 (15.7−34.5)
36.3 (23.6−51.4)

34.4 (29.0−40.2)
Any leisure-time physical activity
150,369 (75.3)
75.5 (75.1−75.9)
56.7 (42.9−69.6)
69.0 (57.7−78.4)
72.2 (57.1−83.5)
66.1 (61.4−70.5)
Sleeping ≥7 hours/24-hour period**
134,343 (65.0)
65.0 (64.6−65.5)
77.4 (68.3−84.5)
58.9 (46.2−70.5)
52.9 (39.7−65.7)
62.8 (57.7−67.6)
No. of health-related behaviors
0 and 1
9,156 (5.8)
5.8 (5.6−6.0)



3.9 (2.3−6.3)
2
31,350 (18.6)
18.6 (18.3−19.0)
12.3 (7.9−18.6)


17.1 (12.3−23.2)
3
64,569 (35.2)
35.3 (34.8−35.7)
47.2 (33.5−61.4)
28.2 (19.0−39.7)
31.4 (20.4−44.9)
32.9 (27.7−38.5)
4 and 578,331 (40.3)40.3 (39.9−40.8)32.1 (21.8−44.5)43.3 (30.1−57.5)34.7 (23.2−48.4)46.2 (40.2−52.4)

Abbreviations: CI = confidence interval; GED = general educational development high school equivalency diploma; HS = high school.

* Transgender status is based on responses of “Yes, transgender, male-to-female,” “Yes, transgender, female-to-male,” “Yes, transgender, gender nonconforming,” “No,” “Don’t know/not sure,” and “Refused” to a question, “Do you consider yourself to be transgender?”

† Cisgender is related to a person whose gender identity corresponds with sex at birth.

§ Significant associations (p<0.05) between transgender status and characteristics based on Cochran-Mantel-Haenszel chi-squared for trends. Don’t know/Refused was not included in the test.

¶ Data are suppressed if relative standard error >0.3 or sample size <50. Relative standard error was calculated as a ratio of standard error and mean of the estimate.

** Significant associations (p<0.05) between transgender status and characteristics based on Cochran-Mantel-Haenszel chi-squared for general association. Don’t know/Refused was not included in the test.

†† Single includes those who were never married or a member of an unmarried couple.

§§ Employment status is defined as retired, and employed if responses are “currently employed for wages” or “currently self-employed,” “Not employed” included adults who were currently out of work, a homemaker, a student, or unable to work.

¶¶ Not a current cigarette smoker were respondents who reported not having smoked 100 cigarettes or more in their lifetime or having smoked at least 100 cigarettes in their lifetime but not smoking at the time of the survey. Moderate or no drinking in the past 30 days was defined as respondents’ self-reported no alcohol drinking or drinking ≤2 alcoholic drinks per day for men and ≤1 alcoholic drink per day for women, and not binge drinking or heavy drinking. Binge drinking was defined as drinking ≥5 drinks on one occasion for men and ≥4 drinks on one occasion for women. Heavy drinking was defined as drinking ≥15 drinks per week for men and ≥8 drinks per week for women in the past 30 days. Having a normal body weight was defined as body mass index ≥18.5 kg/m2 and <25 kg/m2. Any leisure-time physical activity was defined as an affirmative response to a question, “During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?” Sufficient sleep was defined as ≥7 hours in response to a question, “On average, how many hours of sleep do you get in a 24-hour period?”

Abbreviations: CI = confidence interval; GED = general educational development high school equivalency diploma; HS = high school. * Transgender status is based on responses of “Yes, transgender, male-to-female,” “Yes, transgender, female-to-male,” “Yes, transgender, gender nonconforming,” “No,” “Don’t know/not sure,” and “Refused” to a question, “Do you consider yourself to be transgender?” † Cisgender is related to a person whose gender identity corresponds with sex at birth. § Significant associations (p<0.05) between transgender status and characteristics based on Cochran-Mantel-Haenszel chi-squared for trends. Don’t know/Refused was not included in the test. ¶ Data are suppressed if relative standard error >0.3 or sample size <50. Relative standard error was calculated as a ratio of standard error and mean of the estimate. ** Significant associations (p<0.05) between transgender status and characteristics based on Cochran-Mantel-Haenszel chi-squared for general association. Don’t know/Refused was not included in the test. †† Single includes those who were never married or a member of an unmarried couple. §§ Employment status is defined as retired, and employed if responses are “currently employed for wages” or “currently self-employed,” “Not employed” included adults who were currently out of work, a homemaker, a student, or unable to work. ¶¶ Not a current cigarette smoker were respondents who reported not having smoked 100 cigarettes or more in their lifetime or having smoked at least 100 cigarettes in their lifetime but not smoking at the time of the survey. Moderate or no drinking in the past 30 days was defined as respondents’ self-reported no alcohol drinking or drinking ≤2 alcoholic drinks per day for men and ≤1 alcoholic drink per day for women, and not binge drinking or heavy drinking. Binge drinking was defined as drinking ≥5 drinks on one occasion for men and ≥4 drinks on one occasion for women. Heavy drinking was defined as drinking ≥15 drinks per week for men and ≥8 drinks per week for women in the past 30 days. Having a normal body weight was defined as body mass index ≥18.5 kg/m2 and <25 kg/m2. Any leisure-time physical activity was defined as an affirmative response to a question, “During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise?” Sufficient sleep was defined as ≥7 hours in response to a question, “On average, how many hours of sleep do you get in a 24-hour period?” The prevalence of performing any leisure-time exercise was higher among cisgender adults (75.5%) than among male-to-female transgender adults (56.7%). More than three quarters (77.4%) of male-to-female transgender adults reported sleeping ≥7 hours during a 24-hour period compared with cisgender adults (65.0%), female-to-male transgender adults (58.9%), and transgender nonconforming adults (52.9%). In addition, male-to-female transgender adults had a lower prevalence of engaging in any two of five health-related behaviors (12.3%) than did cisgender adults (18.6%), but had a higher prevalence of engaging in any three of five health-related behaviors (47.2%) than did female-to-male transgender adults (28.2%) (Table 2).

Discussion

The findings from this study support those of other studies showing that disparities in sociodemographic characteristics and health-related behaviors exist among the LGBT populations (–). In this study, the disparities were more pronounced among sexual orientation minority adults than they were among transgender adults. Sociodemographic characteristics and health-related behaviors followed similar yet distinct patterns in the LGBT populations. For example, both home ownership and being married were less prevalent among the LGBT populations than among heterosexual or cisgender adults. However, although results showed that gay men had achieved a higher education level than their heterosexual and bisexual counterparts, this might not necessarily suggest better health-related outcomes or behaviors than those among heterosexual men (). On the other hand, among LGBT populations, bisexual women were found to have higher burdens of health inequalities, which could be related to disadvantaged socioeconomic status, as described in the study findings, or other barriers to health care (). In a study based on 2010 BRFSS data from ten U.S. states, bisexual women were more likely to report fair or poor health status, drink while driving, have asthma, and use equipment for disability, and less likely to seek care owing to cost, than were lesbian women (). Consistent with findings from previous studies (,), gay men and lesbian and bisexual women were more likely to be current cigarette smokers and were less likely to be moderate drinkers or nondrinkers compared with their heterosexual counterparts. A recent study of media usage by sexual orientation and smoking status found that LGBT adults had more access to Internet and social media than did heterosexual adults (), suggesting that tobacco cessation campaigns could consider multiple educational social media channels to reach out to the LGBT community (). In this study, lesbian and bisexual women were less likely to report engagement in all five health-related behaviors than were heterosexual women, including being less likely to sleep ≥7 hours during a 24-hour period. Although another study reported no significant difference in sleep duration, the same study noted lesbian and bisexual women were more likely to have poorer quality of sleep with respect to having trouble falling or staying asleep, or taking medication to help sleep than were heterosexual women (). In addition, lesbian women were less likely to have a normal body weight than were heterosexual women. One study found that lesbian and bisexual women were more likely to accept obesity and overweight than were heterosexual women (). Successful intervention studies aiming at reducing overweight and obesity among lesbian and bisexual women have been reported, and more tailored intervention studies are needed to support evidence-based strategies to improve health-related behaviors especially among targeted populations (). The findings in this report are subject to at least four limitations. First, BRFSS responses are self-reported and, therefore, are subject to reporting and social desirability biases, which might result in underreporting of LGBT status. Second, the findings were limited to 25 U.S. states and Guam and, therefore, might not be generalizable to the entire U.S. population. Third, because of data availability limitations, any leisure-time physical activity was assessed as a single category. Finally, nonresponse bias remains a possibility, although the weighting methodology used by BRFSS adjusts for the nonresponse bias. Whereas ongoing state-based surveillance data are important to monitor health-related behaviors and outcomes among LGBT populations, the multifaceted causes of health inequality among these populations require further investigation. Continued efforts are needed to plan and implement strategies supported by public health agencies, health care systems, and work sites, as well as targeted strategies in multilevel community-based interventions with social support and educational programs to improve health equity, including engagement in health-related behaviors among LGBT populations.

What is already known about this topic?

A higher prevalence of current cigarette smoking and alcohol consumption was observed among U.S. lesbian, gay, and bisexual US adults.

What is added by this report?

Compared with heterosexual women (10.6%), the prevalence of not currently smoking cigarettes, moderate or no drinking, maintaining a normal body weight, performing any leisure-time physical activity, and sleeping ≥7 hours per day was lower among lesbian (5.4%) and bisexual women (6.9%). Male-to-female transgender adults had a lower prevalence of engaging in any two of five health-related behaviors (12.3%) than did cisgender adults (18.6%), but had a higher prevalence of engaging in any three of five health-related behaviors (47.2%) than did female-to-male transgender adults (28.2%).

What are the implications for public health practice?

Implementation of targeted strategies to increase community-based health intervention programs and mass media campaigns to improve health-related behaviors of lesbian, gay, bisexual, and transgender adults are needed.
  10 in total

1.  Lesbians' attitudes and beliefs regarding overweight and weight reduction.

Authors:  Susan J Roberts; Eileen M Stuart-Shor; Rachel A Oppenheimer
Journal:  J Clin Nurs       Date:  2010-07       Impact factor: 3.036

2.  Health inequalities among sexual minority adults: evidence from ten U.S. states, 2010.

Authors:  John R Blosnich; Grant W Farmer; Joseph G L Lee; Vincent M B Silenzio; Deborah J Bowen
Journal:  Am J Prev Med       Date:  2014-04       Impact factor: 5.043

3.  Sexual and gender minority health: what we know and what needs to be done.

Authors:  Kenneth H Mayer; Judith B Bradford; Harvey J Makadon; Ron Stall; Hilary Goldhammer; Stewart Landers
Journal:  Am J Public Health       Date:  2008-04-29       Impact factor: 9.308

4.  Demographic Characteristics and Health Status of Transgender Adults in Select US Regions: Behavioral Risk Factor Surveillance System, 2014.

Authors:  Ilan H Meyer; Taylor N T Brown; Jody L Herman; Sari L Reisner; Walter O Bockting
Journal:  Am J Public Health       Date:  2017-02-16       Impact factor: 9.308

5.  A multivariate analysis of health-related practices: a nine-year mortality follow-up of the Alameda County Study.

Authors:  D L Wingard; L F Berkman; R J Brand
Journal:  Am J Epidemiol       Date:  1982-11       Impact factor: 4.897

6.  Comparison of Health and Health Risk Factors Between Lesbian, Gay, and Bisexual Adults and Heterosexual Adults in the United States: Results From the National Health Interview Survey.

Authors:  Gilbert Gonzales; Julia Przedworski; Carrie Henning-Smith
Journal:  JAMA Intern Med       Date:  2016-09-01       Impact factor: 21.873

Review 7.  Challenges in Intervention Research for Lesbian and Bisexual Women.

Authors:  Allison M Rizer; D Richard Mauery; Suzanne G Haynes; Babette Couser; Cindy Gruman
Journal:  LGBT Health       Date:  2015-05-26       Impact factor: 4.151

8.  Sleep duration, sleep quality, and sexual orientation: findings from the 2013-2015 National Health Interview Survey.

Authors:  Adena M Galinsky; Brian W Ward; Sarah S Joestl; James M Dahlhamer
Journal:  Sleep Health       Date:  2017-12-06

9.  Sociodemographic Characteristics and Health Outcomes Among Lesbian, Gay, and Bisexual U.S. Adults Using Healthy People 2020 Leading Health Indicators.

Authors:  Mitchell R Lunn; Wanjun Cui; Matthew M Zack; William W Thompson; Michael B Blank; Baligh R Yehia
Journal:  LGBT Health       Date:  2017-07-20       Impact factor: 4.151

10.  A National Study of Social Media, Television, Radio, and Internet Usage of Adults by Sexual Orientation and Smoking Status: Implications for Campaign Design.

Authors:  Andrew B Seidenberg; Catherine L Jo; Kurt M Ribisl; Joseph G L Lee; Francisco O Buchting; Yoonsang Kim; Sherry L Emery
Journal:  Int J Environ Res Public Health       Date:  2017-04-21       Impact factor: 3.390

  10 in total
  5 in total

1.  Subjective Cognitive Decline Among Sexual and Gender Minorities: Results from a U.S. Population-Based Sample.

Authors:  Monique J Brown; Robert Patterson
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

2.  Influence of Stress, Gender, and Minority Status on Cardiovascular Disease Risk in the Hispanic/Latino Community: Protocol for a Longitudinal Observational Cohort Study.

Authors:  Tonia Poteat; Linda C Gallo; Audrey Harkness; Carmen R Isasi; Phoenix Matthews; Neil Schneiderman; Bharat Thyagarajan; Martha L Daviglus; Daniela Sotres-Alvarez; Krista M Perreira
Journal:  JMIR Res Protoc       Date:  2021-05-06

3.  Gender Dysphoria, Mental Health, and Poor Sleep Health Among Transgender and Gender Nonbinary Individuals: A Qualitative Study in New York City.

Authors:  Salem Harry-Hernandez; Sari L Reisner; Eric W Schrimshaw; Asa Radix; Raiya Mallick; Denton Callander; Lili Suarez; Samuel Dubin; Aisha Khan; Dustin T Duncan
Journal:  Transgend Health       Date:  2020-03-16

4.  Co-occurring mental illness, drug use, and medical multimorbidity among lesbian, gay, and bisexual middle-aged and older adults in the United States: a nationally representative study.

Authors:  Benjamin H Han; Dustin T Duncan; Mauricio Arcila-Mesa; Joseph J Palamar
Journal:  BMC Public Health       Date:  2020-08-04       Impact factor: 3.295

5.  Social-ecological considerations for the sleep health of rural mothers.

Authors:  Alexandra R Fischer; Sha-Rhonda M Green; Heather E Gunn
Journal:  J Behav Med       Date:  2020-10-20
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.