Skip to main content
HHS Author Manuscripts logoLink to HHS Author Manuscripts
. Author manuscript; available in PMC: 2015 Sep 15.
Published in final edited form as: Prehosp Disaster Med. 2012 Sep 25;27(6):496–502. doi: 10.1017/S1049023X12001380

Community Assessment for Public Health Emergency Response (CASPER) one year following the Gulf Coast Oil Spill: Alabama and Mississippi, 2011

Danielle Buttke 1, Sara Vagi 1, Amy Schnall 1, Tesfaye Bayleyegn 1, Melissa Morrison 1, Mardi Allen 1, Amy Wolkin 1
PMCID: PMC4570265  NIHMSID: NIHMS717126  PMID: 23010443

Abstract

Background

On April 20, 2010, the Deepwater Horizon drilling unit exploded off the coast of Louisiana, resulting in 11 deaths and the largest marine petroleum release in history. Previous oil spill disasters have been associated with negative mental health outcomes in affected communities. In response to requests from Mississippi and Alabama, we identified potential mental health issues resulting from this event by implementing a novel use of a Community Assessment for Public Health Emergency Response (CASPER) in the months immediately following the Gulf Coast oil spill. We repeated this assessment one year later to determine long-term mental health needs and changes.

Methods

We used a two-stage cluster sampling method to select a representative sample of 210 households from three separate sampling frames used in 2010, two in Alabama and one in Mississippi. We administered a questionnaire that included standardized behavioral health questions that were adopted from Behavioral Risk Factor Surveillance System (BRFSS). We conducted individual and household weighted cluster analysis and compared BRFSS questions to the most recent (2006 and 2009) state and national BRFSS reports and the 2010 CASPER results.

Results

Among the sampling frames, 8.8–15.1% of individuals reported depressive symptoms in 2011 compared to 15.4–24.5% of individuals in 2010, with 13.2–20.3%reporting symptoms consistent with an anxiety disorder compared to 21.4–31.5% of individuals in 2010, and 13.2–18.3% reporting 14 or more mentally unhealthy days in the past 30 days compared to 16.3–22.8% of individuals in 2010. Overall, a higher proportion of negative quality of life indicators and social context outcomes were reported as compared to BRFSS surveys, but these proportions were lower than those seen in the 2010 CASPERs. When responses were stratified by self-reported change in income following the oil spill, respondents reporting decreased income following the oil spill were more likely to report poor mental health symptoms compared to respondents reporting no change or an increase in income following the oil spill.

Conclusions

Although mental health concerns appear to have decreased in 2011 compared to 2010, the proportion of individuals with mental health symptoms is higher in the 2011 assessments than in the 2009 Alabama, Mississippi, and nation-wide BRFSS estimates and higher in populations experiencing decreased income following the oil spill. Together, this suggests that mental health services are still needed in the area, particularly in households who have experienced decreased income as a result of the oil spill.

Keywords: oil spill, mental health, BRFSS, CASPER, disaster

BACKGROUND

On April 20, 2010, the Mobile Offshore Drilling Unit Deepwater Horizon exploded 40 miles south of the coast of Louisiana. This event resulted in 11 deaths, 17 injuries, and the largest marine petroleum release in history (Labson et al. 2010). Over the following 3 months, more than 4.9 million barrels of oil were released into the Gulf of Mexico. Although the oil well was capped on July 15, 2010, thus stopping the flow of oil into the ocean, the released crude oil has had prolonged negative effects on marine biota. The proximity of the well to the fishing industry of the Gulf States, coastal tourist attractions, and estuarine, marsh, and protected ecosystems placed these resources in jeopardy of contamination and destruction (Antonio et al. 2011). The released oil has had and continues to have consequences for the industries along the Gulf Coast, and posed potential health hazards for those exposed to or affected by the oil spill (Goldstein et al. 2011).

Research from previous oil spill and man-made disaster suggests that mental health and community effects of the disaster persist long after the actual event (Arata et al 2001). Anecdotal reports from local services have noted increased and continued requests for assistance and behavioral problems, including substance abuse and domestic violence. Public health surveillance for adverse exposure-related outcomes was ongoing in coastal area emergency departments, urgent care facilities, and community health centers in Alabama, Florida, Louisiana, and Mississippi immediately following the oil spill and lasted a few months (IOM 2010). A Community Assessment for Public Health Emergency Response (CASPER) was conducted August 27 and 28, 2010 in Mobile and Baldwin counties, because public health officials were concerned that some health effects, particularly mental health outcomes, were not adequately captured by the surveillance systems (Buttke et al. in press). The CASPERs included questions from the Behavioral Risk Factor Surveillance System to allow comparison with previous state-wide mental health measures. Overall, reports for poor mental health were higher in coast communities compared to state-wide and available nation-wide BRFSS reports.

Results from these CASPERs were shared with the Alabama and Mississippi Departments of Public Health, and this information was used to obtain grant money for public health response. Responses differed by state but included increased mental health services and outreach. Increased mental health outreach has been ongoing since late 2010. To better understand health effects a year after the event, evaluate effectiveness of the increased mental health services, and plan future mental health services outreach, the Alabama Department of Public Health (ADPH) and Mississippi Departments of Mental and Public Health requested the assistance of the Centers for Disease Control and Prevention (CDC) in conducting an assessment of needs in Mobile and Baldwin counties on August 26 and 27, 2011 and coastal counties of Mississippi on October 12 and 13, 2011.

The goal of the CASPERs was to determine the general and mental health needs of the community one year following the Deepwater Horizon oil spill to aid health officials in resource planning and allocation.

METHODS AND MATERIALS

Assessment area

The Gulf Coast counties of Alabama and Mississippi were divided into three sampling frames for the purpose of this assessment—Baldwin County, Alabama; Mobile County, Alabama; and coastal Mississippi. Divisions were based upon public and mental health service districts (see supplemental material S1).

The first two assessment areas consisted of the coastal portions of Alabama’s two Gulf Coast counties, Mobile and Baldwin. These counties are served by different health and mental health departments. In Mobile County, the assessment area included the coastal zip codes of 36523, 36509, and 36528, representing the cities of Bayou La Batre, Coden, and Dauphin Island. The assessment area of Baldwin County included the area south of state highway 98 and the community of Point Clear.

The assessment area in coastal Mississippi included all three Gulf Coast counties—Hancock, Harrison, and Jackson. These three counties are served by the same health and mental health departments (referred to as Mississippi throughout this report).

Assessment design

CDC, along with the states involved, used its CASPER methodology to conduct the mental health needs assessments (DHHS 2009). CASPER is an epidemiologic method designed to provide household-based information about an affected community’s needs following a disaster and to do so quickly and at low cost. CASPER used a two-stage probability sampling method to select a sample of 210 households to be interviewed. In the first stage, 30 census blocks from the 2000 US Census were selected from each assessment area. A CASPER tool developed within ESRI ArcGIS software made the selection. The probability of a census block being selected was proportional to the number of households in the census block. In the second stage, interview teams randomly selected seven households from each of the 30 clusters. The interviewers were provided with detailed maps of each selected cluster, and the teams were instructed to select the housing units for the seven interviews by use of a standardized method for randomization. This information gained from the interviews is then shared in a simple format with decision-makers.

We provided the two-person interview teams in each sampling frame with a three-hour training session on interview techniques, safety issues, household selection, and referrals. In Alabama, teams consisted primarily of state and local public health and mental health workers. In Mississippi, teams consisted primarily of state mental health staff and doctoral students from the University of Mississippi, with assistance provided by CDC staff in all three sampling frames. Each team attempted to conduct seven interviews in each of the 30 census blocks selected for the sample, with a goal of 210 total interviews. Selected houses where no one was at home or the door was not answered were re-approached three times before an alternate house was selected. Residents were considered eligible respondents if they were at least 18 years of age or older, were residents of the selected household, and had lived within the community sampled for at least 30 days. Additionally, the interviewers completed confidential referral forms whenever they encountered urgent physical or mental health needs, and they distributed information on mental and physical health resources. Interviews were conducted on August 26 and 27, 2011 in Baldwin and Mobile Counties, Alabama, and October 12 and 13, 2011 in Mississippi.

Analysis

We conducted weighted cluster analysis to report the estimated percent of households affected in the assessment area. We calculated two weighting variables—one to account for the probability that the responding household was selected and one to account for the probability of selecting the individual respondent within the household. We weighted the results of each interview question based on whether the question referred to the individual or to the household. All percentages presented in this report are calculated by use of one of the two sampling weights.

We used several of the questions regarding mental health from CDC’s national Behavioral Risk Factor Surveillance System (BRFSS) and administered them to the responding individual in each household (questions 15 through 23, Supplemental material S2). We compared data from our survey to both Alabama and Mississippi state-wide and national data from the most recent BRFSS in which these questions were asked. We compared responses to the quality-of-life questions (questions 15 through 17) to data collected by use of the identical questions in the 2009 BRFSS in the state-wide Alabama and Mississippi BRFSS and in the BRFSS in all 50 states (Table 4). We took the depressive symptom questions (questions 18 and 19) from the Patient Health Questionnaire-2 (PHQ-2) module in BRFSS and the anxiety questions (questions 20 and 21) from the Generalized Anxiety Disorder-2 (GAD-2) module in a hospital-based Patient Health Questionnaire study. Responses for both the PHQ-2 and GAD-2 are scored from zero (not at all) to 3 (nearly every day), and a combined score is calculated by use of the two questions within each module. PHQ-2 scores of ≥3 have a sensitivity of 83% and a specificity of 92% for major depression (2); GAD-2 scores of ≥3 have a sensitivity of 92% and a specificity of 76% for generalized anxiety disorder, and a sensitivity of 65% and a specificity of 88% for any anxiety disorder (3). We compared the depressive symptom questions to the PHQ-2 data from the 2009 BRFSS in Alabama and to the BRFSS data in 16 other states or territories nationwide (Table 2)—the PHQ-2 is part of an optional module in BRFSS and therefore is not included in the survey in all states. The GAD-2 is not currently available in BRFSS questionnaire; therefore, it has no population-based data available for comparison. We compared responses to the social context questions (questions 22 and 23) to data from the 2009 BRFSS conducted in Alabama and eight other states nationwide, as these questions were not recently asked in Mississippi (Table 12). We also compared results of the 2011 CASPERs with the 2010 CASPER results.

Table 4.

Individual-level weighted percents of respondents reporting frequency of worry or stress Mobile, AL, Baldwin, AL, Mississippi, 2010 and 2011, according to BRFSS social context categories

Mobile, AL Baldwin, AL Mississippi Alabama National3
Measure % (95% CI) % (95% CI) % (95% CI) 2009 BRFSS1,2
% (95%CI)
2009 BRFSS1,2
% (95%CI)
  Always/Usually worried/stressed about money for mortgage/rent
2010 28.1* (18.3–37.9) 24.2* (16.9–31.4) 37.2 (25.9–48.6) 14.2 (12.9–15.7) 13.5 (12.9–14.2)
2011 20.3 (11.7–28.8) 17.2 (10.8–23.7) 26.8 (16.6–37.0)

Always/Usually worried/stressed about money to buy nutritious meals
2010 18.1 (8.9–27.2) 12.5 (6.4–18.7) 19.8 (12.4–27.3) 10.1 (9.0–11.3) 8.0 (7.5–8.5)
2011 11.3 (5.1–17.6) 6.3 (2.8–9.8) 21.0 (11.2–30.8)
1

Behavioral Risk Factor Surveillance System (BRFSS)

2

BRFSS asked question “in the past 12 months” CASPER asked question “in the past 4 months”

3

8 states

Table 2.

Individual-level weighted percents of respondents reporting general quality of life, Mobile, AL, Baldwin, AL, Mississippi, 2010 and 2011

Mobile, AL Baldwin, AL Mississippi Alabama Mississippi National
Measure Weighted %
(95%CI)
Weighted%
(95% CI)
Weighted %
(95%CI)
2009 BRFSS1
Weighted %
(95%CI)
2009 BRFSS1
Weighted %
(95%CI)
2009 BRFSS1
Weighted %
(95%CI)
≥14 physically unhealthy days 13.9 (12.7–15.1) 12.7 (11.9–13.6) 10.8 (10.6–11.1)
2010 19.7 (7.9–30.8) 15.8 (9.8–21.9) 21.6 (14.7–28.5)
2011 13.4 (8.4–18.5) 13.2 (8.4–17.9) 20.7 (12.2–29.2)
≥14 mentally unhealthy days 13.1 (11.8–14.5) 13.5 (12.5–14.5) 10.3 (10.0–10.5)
2010 22.8 (10.9–34.6) 16.3 (9.1–23.4) 22.1 (13.8–30.4)
2011 14.7 (8.2–21.3) 13.2 (8.6–17.8) 18.3 (10.3–26.3)
≥14 activity limitation days 8.7 (7.7–9.7) 9.2 (8.4–10.0) 7.0 (6.8–7.2)
2010 12.9 (5.2–20.6) 9.8 (3.0–15.9) 12.2 (6.1–18.3)
2011 7.0 (3.1–11.0) 9.0 (4.2–13.8) 13.4 (6.5–20.3)
Depressive symptoms 13.9 (11.7–16.4) 13.0 (11.8–14.2) 9.7 (9.3–10.0)
2010 24.2 (13.0–35.3) 15.4 (9.6–21.3) 24.5 (16.4–32.7)
2011 13.2 (7.8–18.7) 8.8 (4.5–13.1) 15.1 (8.2–22.0)
Symptoms of anxiety N/A N/A N/A
2010 24.3 (13.2–35.5) 21.4 (13.3–29.5) 31.5 (21.5–41.9)
2011 20.3 (12.1–28.4) 13.2 (6.9–19.5) 19.4 (10.1–28.7)
1

Behavioral Risk Factor Surveillance System (BRFSS)

Results from BRFSS questions used in the CASPER are also stratified based on self-reported income change following the oil spill. We asked, “How did the oil spill affect your household income?” and answers were recorded as increased, decreased, no change, other, or don’t know. Very few individuals reported increased, other, or don’t know; thus, this variable was categorized as ‘decreased’ or ‘increased/no change’ for the stratified analysis.

RESULTS

Interview teams completed 208 out of a goal of 210 interviews in Mobile County, AL (99%), 188 out of 210 interviews in Baldwin County, AL (90%), and 200 out of 210 interviews in Mississippi (95%). Of the houses approached, interviews were completed in 74% of houses where someone was at home in Mobile County, AL, 65% of houses in Baldwin County, AL, and 72% of houses in Mississippi. Reasons for interviews not being completed included the respondent being ineligible based on time lived in community or being under 18 years of age, or refusal to participate. Table 1 compares data from the 2010 CASPERs with the 2011 CASPER results. In 2011, mean age of respondents ranged from 49.0 years in Mississippi to 56.0 years in Baldwin County, AL. Age ranged from 19 to 91 years, and the average respondent had lived in the community for a high of 16.4 years in Mobile County, AL to a low of 8.6 years in Baldwin County, AL. The majority of respondents in each assessment area was white, non-Hispanic, with a range of 76.3% in Mississippi to 97.5% in Baldwin County, AL. The greatest proportion of respondents in Mobile and Baldwin Counties, AL reported an estimated annual household income of >$75,000 (28% of respondents in each county). This compares to 40% of Mississippi respondents reporting an estimated annual income of $25,000 to $50,000. The proportion of respondents reporting decreased income following the oil spill ranged from 29.8% in Mississippi to 36.9% in Mobile County, AL.

Table 1.

Demographics of respondents, 2010 and 2011, Mobile, AL, Baldwin, AL, Mississippi

Mobile Baldwin Mississippi

Age
Characteristics
2010
Years (95% CI)
2011
Years (95% CI)
2010
Years (95% CI)
2011
Years (95% CI)
2010
Years (95% CI)
2011
Years (95% CI)
Mean Age 53.8 (46.4–56.3) 55.7 (52.6–57.4) 55.5 (52.1–58.5) 56.0 (52.9–59.0) 48.2 (44.7–51.8) 49.0 (45.4–52.7)
Age Range 20–89 19–89 19–95 20–87 18–85 19–91

Median years lived in community 18.9 (14.4–23.4) 16.4 (12.9–19.8) 9.7 (5.4–14.0) 8.6 (6.1–11.2) 9.7 (5.7–13.6) 14.8 (8.7–20.8)

Demographics Weighted %
(95% CI)
Weighted %
(95% CI)
Weighted %
(95% CI)
Weighted %
(95% CI)
Weighted %
(95% CI)
Weighted %
(95% CI)

Gender
  Male 45.6 (33.9–57.3) 44.2 (33.0–55.3) 54.6 (47.1–62.1) 51.1 (44.0–58.3) 38.8 (28.3–49.2) 47.5 (37.8–57.3)
  Female 54.5 (42.7–66.2) 55.8 (44.7–67.0) 45.4 (37.9–52.9) 48.9 (41.7–56.0) 61.2 (50.7–71.6) 52.5 (42.7–62.2)
Race/ethnicity
  White, non-Hispanic 76.7 (64.9–88.5) 97.5 (94.8–100.0) 76.8 (62.9–90.7) 91.8 (86.1–97.5) 71.7 (59.5–83.9) 76.3 (65.0–87.6)
  Black, non-Hispanic 3.3 (0.0–7.1) 0.5 (0.0–1.5) 15.6 (1.8–29.4) 2.4 (0.0–4.9) 21.5 (9.1–34.0) 21.9 (11.0–32.9)
  Asian 17.3 (5.2–29.5) --- --- 1.0 (0.0–2.37) 3.0 (0.0–6.8) ---
  Hispanic --- 1.0 (0.0–2.4) 1.8 (0.0–3.7) 0.5 (0.0–1.5) 1.9 (0.0–4.7) 1.3 (0.0–2.7)
  Other 2.6 (0.0–6.2) 1.1(0.0–2.6) --- 2.9 (0.0–6.6) 0.6 (0.0–2.0) 0.4 (0.0–1.3)
  Don’t know/Refused --- --- 3.9 (0.5–6.2) 1.4 (0.0–3.7) 0.9 (0.0–2.1) ---
Change in household income
  Increased 7.4 (1.3–13.5) 7.7 (4.3–11.2) 4.6 (1.6–7.6) 2.4 (0.0–5.1) 0.5 (0.0–1.5) 3.5 (0.3–6.7)
  Decreased 32.1 (20.4–43.8) 36.9 (28.0–45.8) 33.5 (25.0–41.8) 35.4 (25.3–45.4) 35.7 (26.4–45.1) 29.8 (20.2–39.4)
Estimated Annual Household Income

0–14,999 19.7 (6.1–33.2) 15.7 (7.9–23.5) 18.4 (9.6–27.2) 10.4 (3.0–17.9) 10.4 (2.8–18.0) 12.4 (6.7–18.0)
15,000–24,999 19.0 (8.4–29.5) 11.9 (5.0–18.8) 14.3 (8.5–20.0) 8.9 (3.8–14.1) 18.9 (12.0–25.8) 16.9 (10.3–23.5)
25,000–49,999 24.7 (16.0–33.3) 16.4 (11.0–21.8) 15.0 (9.0–21.1) 17.9 (10.6–25.1) 28.9 (18.3–39.6) 40.0 (32.3–47.8)
50,000–74,999 10.3 (3.5–17.2) 13.3 (9.2–17.4) 17.2 (11.7–22.6) 16.7 (11.2–22.1) 13.4 (6.5–20.3) 8.7 (5.7–11.8)
>75,000 8.6 (1.3–16.0) 28.0 (19.3–36.7) 21.1 (11.6–30.6) 28.0 (19.3–36.7) 10.6 (4.5–16.7) 11.8 (5.9–17.7)
Don’t Know/Refused 17.7 (6.8–28.6) 14.7 (7.8–21.5) 14.1 (7.7–20.4) 18.0 (6.9–29.2) 17.7 (9.0–26.5) 10.1(3.8–16.5)

Mental health questions were taken from the Behavioral Risk Factor Surveillance System (BRFSS). The proportion of respondents with greater than or equal to two weeks of physically unhealthy days ranged from 13.2% in Baldwin County, AL to 20.7% in Mississippi (Table 2). This compares to a range of 15.8% in Baldwin County, AL to 21.6% in Mississippi in 2010. The proportion of respondents with greater than or equal to two weeks of mentally unhealthy days ranged from 13.2% in Baldwin County, AL, to 18.3% in Mississippi. This compares to 16.3% in Baldwin County, AL to 22.8% in Mobile County, AL, in 2010. A similar trend was seen in days of activity limitation. The proportion of respondents reporting symptoms consistent with depression ranged from 8.8% in Baldwin County, AL, to 15.1% in Mississippi. This compares with 15.4% in Baldwin County, AL to 24.5% in Mississippi in 2010. Finally, the proportion of respondents reporting symptoms consistent with a generalized anxiety disorder ranged from 13.2% in Baldwin County, AL, to 20.3% in Mobile County, AL. This compares to 21.4% in Baldwin County, AL to 31.5% in Mississippi in 2010.

When responses were stratified by self-reported change in income following the oil spill, respondents reporting decreased income following the oil spill were more likely to report poor mental health symptoms compared to respondents reporting no change or an increase in income following the oil spill (Table 3). In 2011 Mobile County, AL assessment, the difference in mentally healthy days, activity limitation days, depressive symptoms, and symptoms of anxiety between those reporting decreased income following the oil spill and those with no change or an increase in income following the oil spill was statistically significant. In Mississippi 2011, the difference in depressive symptoms was statistically significantly different between respondents reporting decreased income compared to those with no change or an increase in income. Symptoms of anxiety were statistically significantly different between those reporting decreased income and those reporting no change or an increase in income in all three assessment areas in 2011. In the 2010 assessments, statistically significant differences were seen in mentally unhealthy days, depressive symptoms, and symptoms of anxiety between those reporting decreased income compared to those with no change or increased income following the oil spill in Baldwin County, AL only. Although not statistically significantly different, reports of poor mental health were generally lower in 2011 compared to 2010 in both self-reported income change groups for all three assessment areas.

Table 3.

Individual-level weighted percents of respondents reporting general quality of life and self-reported income change following the Gulf Coast oil spill, Mobile, AL, Baldwin, AL, Mississippi 2010 and 2011

Mobile, AL Baldwin, AL Mississippi
Income Change
Measure
Decreased
Weighted %
(95%CI)
Other
Weighted %
(95%CI)
Decreased
Weighted %
(95% CI)
Other
Weighted %
(95%CI)
Decreased
Weighted %
(95% CI)
Other
Weighted %
(95%CI)
≥14 physically unhealthy days
2010 29.9 (7.0–52.8) 13.5 (2.8–24.2) 24.4 (11.0–37.7) 10.8 (4.5–16.8) 26.9 (14.5–39.3) 18.0 (8.3–27.7)
2011 21.6 (11.5–31.6) 9.0 (2.9–14.3) 17.1 (5.8–28.3) 11.0 (5.4–16.6) 28.7 (14.4–42.9) 18.1 (8.6–27.7)
≥14 mentally unhealthy days
2010 34.2 (9.5–58.9) 15.0 (4.0–25.9) 34.7 (19.3–50.2) 6.2 (0.2–12.2) 30.8 (16.2–45.5) 16.2 (7.0–25.5)
2011 32.6 (21.6–43.7) 3.6 (0.0–7.6) 22.6 (12.7–32.6) 7.9 (2.9–13.0) 22.7 (8.7–36.6) 17.1 (8.6–25.5)
≥14 activity limitation days
2010 15.3 (5.0–25.6) 11.0 (1.8–20.3) 17.6 (5.3–29.9) 4.9 (0.0–11.0) 15.0 (4.5–25.4) 10.0 (2.9–17.1)
2011 14.3 (6.6–22.2) 2.5 (0.1–4.9) 11.5 (1.2–21.9) 7.8 (3.5–11.8) 21.9 (10.0–33.8) 10.2 (1.3–19.1)
Depressive symptoms
2010 37.3 (20.2–54.4) 17.2 (3.9–30.4) 29.4 (17.7–41.1) 7.1 (2.1–12.2) 36.5 (22.1–51.0) 16.6 (7.8–25.4)
2011 26.0 (15.1–36.9) 5.4 (1.7–9.0) 11.0 (3.0–18.9) 7.6 (2.6–12.7) 32.4 (17.8–47.0) 8.3 (3.0–13.5)
Symptoms of anxiety
2010 41.4 (22.8–60.0) 17.6 (4.4–30.7) 38.5 (22.9–54.0) 11.1 (4.1–18.1) 46.4 (31.5–61.4) 21.7 (9.3–34.0)
2011 31.0 (18.3–43.6) 3.6 (0.0–7.5) 18.8 (8.7–28.8) 4.0 (0.4–7.6) 42.9 (23.1–62.8) 10.0 (2.6–17.5)

There was a small but non-significant decrease in the proportion of respondents reporting always or usually worried or stressed about money to pay the mortgage or rent from 2010 to 2011 in all three assessment areas (Table 4). The proportion of respondents always or usually worried about money to pay the rent or mortgage in Mobile and Baldwin Counties, AL, is no longer statistically significantly higher than AL state BRFSS reports. No significant changes were seen in the proportion of residents reporting always or usually being worried or stressed about money to buy nutritious meals in any assessment area. When stratified by self-reported change in income following the oil spill, there was a statistically significant difference in the proportion of respondents always or usually stressed about money to pay the mortgage or rent between those reporting decreased income and those reporting no change or increased income following the oil spill in both 2010 and 2011 (Table 5).

Table 5.

Individual-level weighted percents of respondents reporting frequency of worry or stress by self-reported income change following the oil spill, according to BRFSS social context categories Mobile, AL, Baldwin, AL, Mississippi, 2010 and 2011

Mobile, AL Baldwin, AL Mississippi
Income change
Measure
Decreased
% (95% CI)
Increased/No
Change
% (95% CI)
Decreased
% (95% CI)
Increased/No
Change
% (95% CI)
Decreased
% (95% CI)
Increased/No
Change
% (95% CI)
Always/Usually worried/stressed for money to pay mortgage/rent
  2010 52.8 (33.9–71.6) 17.0 (3.2–30.7) 47.4 (35.5–59.3) 12.4 (4.9–19.9) 56.7 (41.2–74.1) 17.0 (4.8–29.1)
  2011 39.8 (28.3–51.3) 8.0 (2.2–13.8) 36.4 (24.2–48.6) 6.1 (2.2–10.0) 48.9 (30.7–67.2) 18.1 (9.2–27.0)
Always/Usually worried/stressed about money to buy nutritious meals
  2010 34.1 (13.6–54.6) 12.6 (1.3–23.8) 22.4 (11.4–33.4) 6.3 (0.0–12.3) 29.5 (14.9–44.0) 5.7 (1.8–9.9)
  2011 24.2 (13.1–35.2) 3.4 (0.4–6.5) 13.0 (4.4–21.7) 2.4 (0.0–5.3) 33.9 (18.6–49.2) 16.1 (6.1–26.2)

DISCUSSION

The data presented here suggest that mental health symptoms in the Gulf Coast counties of Alabama and Mississippi were lower in 2011 than in the months immediately following the oil spill. While these data suggest that mental health concerns may have decreased in 2011 compared to 2010, the proportion of individuals with mental health symptoms is still higher in the 2011 assessments than in the 2009 Alabama, Mississippi, and nation-wide BRFSS estimates. In addition, when comparing individuals who self-reported decreased income following the oil spill to those whose income either increased or was not affected, large differences in mental health parameters exist. Together, this suggests that mental health services are still needed in the area, particularly in households who have experienced decreased income as a result of the oil spill.

The Gulf Coast oil spill negatively affected several industries in Alabama and Mississippi, including fishing, tourism, and real estate industries directly and associated service industries indirectly (GCRC 2010). Financial concerns can adversely affect both mental and physical health (Busgaier and Rhodes 2011). Financial concerns do not directly reflect current or relative financial status or security; rather, any change or perceived change from an individual’s norm can trigger both financial concerns and adverse mental health outcomes. Therefore, any perceived income change, can produce adverse mental health outcomes. Similarly, unemployment is associated with poor mental health, regardless of financial security (Scutella and Wooden 2008). In support of this, we saw no difference in mental health outcomes between those reporting higher annual household incomes and those reporting lower household incomes when both groups reported decreased household income following the oil spill (data not shown).

On a larger scale, even macroeconomic downturns can negatively affect individuals’ mental status (Davalos and French 2011). Changes in the tourism and associated real estate, restaurant, and entertainment industries of the Gulf Coast following the oil spill affected income levels for many employed in these areas, and raised financial concerns for those whose income may be indirectly influenced by the overall community business climate (Buttke et al. in press). These effects may have been further exacerbated by the global economic recession. A situation therefore existed that may have triggered financial concerns in a broader range of individuals than those directly economically affected by the oil spill, and may have further increased mental health needs in the community.

Furthermore, while conducting these surveys, interview teams encountered several individuals requiring emergency mental health services in 2011, whereas no mental health services referrals were made during the 2010 interviews. Several factors may have influenced this, including differences in population, interviewee differences not addressed by the standardized training, or mental health symptoms acuity. Alternately, the increase in referrals may represent an increased awareness or acceptance of mental health issues compared to the 2010 surveys and following extensive community outreach and messaging by local mental health services following the oil spill. The active mental health outreach in these communities by services may have influenced this change in acceptance.

This study is subject to certain limitations. Although not statistically significant, demographic differences were noted within assessment areas between 2010 and 2011 assessments. These differences were most notable in Mobile and Baldwin County, AL. In Mobile County, the Asian population in 2010 was over 17%; this compares to no reports of Asian race in 2011. Empirically, this may reflect the loss of migrant or ‘boat people’ populations that had been employed in the seafood industry prior to the oil spill and left the area once the industry slowed following the oil spill. Immigrant status is associated with lower likelihood to seek mental health services, and may therefore result in more reports of poor mental health in these populations (Chen and Vargas-Bustamante 2011). The lack of this potential vulnerable population in 2011 may have impacted overall mental health parameters in Mobile County, AL.

Conversely, in Baldwin County, our study and empirical data suggest that the seasonal population of retirees and long-term vacationers that typically reside on the coast were absent immediately following the oil spill and returned in 2011. Retired persons are more likely to be on a fixed income that may not have been affected by the oil spill, and therefore, financial impacts on mental health may not have occurred in this population and may have affected overall mental health parameters in Baldwin County, AL. These two potential population shifts in coastal Alabama counties cannot be proven based on our assessments, but would reflect two different populations that may have contributed to the overall lower reports for poor mental health seen in 2011 compared to 2010. Alternately, the increased mental health outreach and services following the oil spill may have resulted in a decrease in poor mental health prevalence in the community. Based on our study, we are unable to determine whether one or some combination of these factors is responsible for the change in mental health parameters from 2010 to 2011.

Finally, these surveys reflect self-reports at a single point in time, and individuals within each household were not randomly selected. Time since the oil spill, as well as differences in the demographics of the populations currently living on the coast compared to populations living on the coast immediately following the oil spill, and differences in current events might have influenced the differences seen between the 2010 and 2011 CASPER data. These limitations may have resulted in systematic bias that would not be accounted for in our study design.

CONCLUSIONS

Although this report suggests that general and mental health symptoms have decreased compared to 2010, this survey cannot determine the cause of this decrease, and changes in demographics of the area may have influenced observed changes in mental health parameters. Both survey years saw a difference in mental health outcomes in those reporting decreased income following the oil spill, with those reporting decreased income having significantly worse mental health parameters. Public health response efforts and community outreach should continue to ensure remaining mental health needs are addressed, specifically in those experiencing negative financial impacts following the oil spill. The surveys conducted in 2010 led to increases in mental health services in the affected communities. The 2011 follow-up survey provided an opportunity to assess the current mental health status of the communities and evaluate the effectiveness of the mental health services provided in these communities. Future needs assessments should consider the benefits of conducting follow-up surveys.

Supplementary Material

01

REFERENCES

  1. Antonio FJ, Mendes RS, Thomaz SM. Identifying and modeling patterns of tetrapod vertebrate mortality rates in the Gulf of Mexico oil spill. Aquat Toxicol. 2011 Sep;105(1–2):177–179. doi: 10.1016/j.aquatox.2011.05.022. Epub 2011 Jun 7. [DOI] [PubMed] [Google Scholar]
  2. Arata CM, Picou JS, Johnson GD, McNally TS. Coping with Technological Disaster: An Application of the Conservation of Resources Model to the Exxon Valdez Oil Spill. J Traumatic Stress. 2000;13(1):23–39. doi: 10.1023/A:1007764729337. [DOI] [PubMed] [Google Scholar]
  3. Bisgaier J, Rhodes KV. Cumulative adverse financial circumstances: associations with patient health status and behaviors. Health Soc Work. 2011 May;36(2):129–137. doi: 10.1093/hsw/36.2.129. [DOI] [PubMed] [Google Scholar]
  4. Buttke D, Vagi S, Bayleyegn T, Sircar K, Strine T, Morrison M, Allen M, Wolkin A. Mental Health Needs Assessment after the Gulf Coast Oil Spill—Alabama and Mississippi, 2010. Prehospital and Disaster Medicine. doi: 10.1017/S1049023X12001100. [In Press]. [DOI] [PubMed] [Google Scholar]
  5. Chen J, Vargas-Bustamante A. Estimating the effects of immigration status on mental health care utilizations in the United States. J Immigr Minor Health. 2011 Aug;13(4):671–680. doi: 10.1007/s10903-011-9445-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Davalos ME, French MT. This recession is wearing me out! Health-related quality of life and economic downturns. J Ment Health Policy Econ. 2011 Jun;14(2):61–72. [PubMed] [Google Scholar]
  7. Department of Health and Human Services (DHHS); Centers for Disease Control and Prevention (CDC) Community Assessment for Public Health Emergency Response (CASPER) Toolkit. Atlanta (GA): CDC; 2009. [Accessed 3 Jan 2012]. Available at: http://www.bt.cdc.gov/disasters/surveillance/pdf/CASPER_toolkit_508%20COMPLIANT.pdf. [Google Scholar]
  8. Goldstein BD, Osofsky HJ, Lichtveld MY. The Gulf Oil Spill. N Engl J Med. 2011;364:1334–1348. doi: 10.1056/NEJMra1007197. [DOI] [PubMed] [Google Scholar]
  9. Institute of Medicine (US) Committee to Review the Federal Response to the Health Effects Associated with the Gulf of Mexico Oil Spill. In: Goldman L, Mitchell A, Patlak M, editors. Review of the Proposal for the Gulf Long-Term Follow-Up Study: Highlights from the September 2010 Workshop. Washington (DC): National Academies Press (US); 2010. [PubMed] [Google Scholar]
  10. Gulf Coast Business Council Research Foundation. Mississippi Gulf Coast Regional Brief: Second Quarter 2010. [Accessed 2 Nov 2010];2010 Aug 9; Available at: http://www.msgcbc.org/docmsgcbc/Regional%20Brief%20-%202Q%202010.pdf. [Google Scholar]
  11. Kroenke K, Spitzer RL, Williams JB. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care. 2003 Nov;41(11):1284–1292. doi: 10.1097/01.MLR.0000093487.78664.3C. [DOI] [PubMed] [Google Scholar]
  12. Kroenke K, Spitzer RL, Williams JB, et al. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007;146:317–325. doi: 10.7326/0003-4819-146-5-200703060-00004. [DOI] [PubMed] [Google Scholar]
  13. Labson VF, Clark RN, Swazye GA, et al. Estimated Minimum Discharge Rates of the Deepwater Horizon Spill—Interim Report to the Flow Rate Technical Group from the Mass Balance Team. Geological Survey Open-File Report. 2010:1132–1134. [Google Scholar]
  14. Scutella R, Wooden M. The effects of household joblessness on mental health. Soc Sci Med. 2008 Jul;67(1):88–100. doi: 10.1016/j.socscimed.2008.02.025. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

01

RESOURCES