TOC summary: Pregnancy, asthma, diabetes, and a history of smoking were among risk factors found.
We conducted a case–control study to identify risk factors for hospitalization from pandemic (H1N1) 2009 virus infection among persons >16 years of age in Sydney, Australia. The study comprised 302 case-patients and 603 controls. In a logistic regression model, after adjusting for age and sex, risk factors for hospitalization were pregnancy (odds ratio [OR] 22.4, 95% confidence interval [CI] 9.2–54.5), immune suppression (OR 5.5, 95% CI 2.8–10.9), pre-existing lung disease (OR 6.6, 95% CI 3.8–11.6), asthma requiring regular preventive medication (OR 4.3, 95% CI 2.7–6.8), heart disease (OR 2.3, 95% CI 1.2–4.1), diabetes (OR 3.8, 95% CI 2.2–6.5), and current smoker (OR 2.0, 95% CI 1.3–3.2) or previously smoked (OR 2.0, 95% CI 1.3–3.0). Although obesity was not independently associated with hospitalization, it was associated with an increased risk of requiring mechanical ventilation. Public health messages should give greater emphasis on the risk for severe disease among pregnant women and smokers.
The emergence of pandemic (H1N1) 2009 virus (
The first cases of pandemic (H1N1) 2009 infection from New South Wales (NSW) were reported in May 2009. In NSW, laboratories were required to notify all pandemic (H1N1) 2009 diagnoses to the NSW Department of Health under Public Health Act 1991 (
By the end of June 2009 (before a vaccine was available), community transmission was widespread in Australia, and public health efforts were focused on protecting those at greatest risk for severe disease. The groups considered most vulnerable were pregnant women; indigenous people; very obese persons; persons with pre-existing chronic medical conditions, including lung, heart, and kidney disease; and persons with blood, metabolic or neurologic disorders, immunosuppressive conditions, or asthma (
The study population was defined as persons >16 years of age residing in metropolitan Sydney during July 1–August 31, 2009. All interviews were conducted during September and October 2009.
We defined a case as a person with influenza-like illness admitted (for a minimum of an overnight stay) to a Sydney metropolitan hospital from July 1 through August 31, 2009, who had laboratory confirmation of pandemic (H1N1) 2009 by PCR that was notified to the Department of Health. Patients <16 years of age or residing outside metropolitan Sydney were excluded from the study because we assumed the threshold for hospital admission may have been different for this age group and for patients in regional and rural areas. To ensure complete case ascertainment, all cases notified in the study period were cross-matched with the Department of Health database containing all hospital admissions in NSW for the study period; additional identified cases were included in the study. If case-patients were not able to complete a telephone interview because of ill health or disability, another household member completed the interview on their behalf. Up to 30 attempts were made to contact case-patients by telephone.
In a case–control study, we compared demographic and health information reported by case-patients with those of controls. We defined a control as a person >16 years of age residing in metropolitan Sydney who had not been hospitalized for influenza in 2009. Telephone numbers (stratified by AHS) were used to randomly select potential control households. Within each AHS in Sydney, we selected 2 households per case. A single control was randomly selected from within each selected household for interview. Up to 12 attempts were made to contact selected households. Fewer attempts were made to contact controls than case-patients as a result of random-digit generation methods described in detail elsewhere (
We used a standard questionnaire to ask case-patients and controls about influenza symptoms, pregnancy or delivery within the previous 28 days, weight and height, smoking history, current and previous medications, and past hospitalizations. In addition, information was collected regarding diagnosis of general health conditions, including asthma, lung disease (defined as emphysema, chronic lung problems and/or chronic bronchitis), heart disease (defined as heart problems from birth, rheumatic heart disease, angina, heart attack, and/or heart failure excluding hypertension), diabetes (type I or II), other metabolic disorders, kidney disease (defined as kidney transplant, renal failure, and/or dialysis), liver disease, blood disorders (defined as sickle cell disease, thalassemia, or hemoglobin problems), mental health diagnoses, neurologic conditions (defined as conditions that involve muscles, nerves, or the brain), immune suppression (defined as cancer, HIV infection, or immunosuppressive medication), and obstructive sleep apnea. Ethics approval was not required because information was collected under NSW Public Health Act 1991 (
In univariate analysis, the proportions of characteristics among case-patients and controls were compared by using χ2 tests. In multivariate analysis, independent risk factors for hospitalization were assessed through logistic regression by using backward elimination. All variables with a univariate level of significance p<0.25 were selected for inclusion in the base model, and variables were excluded if the p value was >0.05 and did not meaningfully alter the point estimates of the remaining variables. Because a similar proportion of case-patients and controls reported a diagnosis of asthma not requiring regular medication, only a history of asthma requiring regular medication was included in the final logistic regression model.
Additional logistic regression models were constructed to compare case-patients with controls for women of child-bearing age (16–45 years), case-patients who received mechanical ventilation compared with all controls, case-patients who sought medical attention within 48 hours of onset of symptoms compared with case-patients who sought medical attention after 48 hours, and controls who reported symptoms of influenza-like illness during the study period (defined as self-reported fever and either cough or sore throat) with controls who reported no illness during the study period. Mechanical ventilation (rather than intensive care unit admission) was used as a measure of severity of illness because cases were reported from several hospital facilities with varying criteria for patient admission to intensive care. The model fit the data well by the Hosmer-Lemeshow goodness-of-fit test (χ2 = 15.85, 9 df, p = 0.07). Seventy-nine percent of pairs were concordant, and
In total, 402 hospitalized patients were identified as eligible for inclusion in the study. Of these, 302 (75%) participated in the study, 27 (7%) refused interview, 66 (16%) were unable to be contacted, and 7 (2%) were excluded because of language difficulties. In univariate analysis, there was no significant difference between participating patients and nonparticipating patients with respect to sex (p = 0.226), geographic location of residence (p = 0.341), indigenous status (p = 0.123), length of stay in hospital (p = 0.477), or ventilation status (p = 0.890). However, interviewed patients were significantly younger (median 45 years, range 16–88 years) than patients who were not interviewed (median 51 years, range 17–88 years) (p = 0.007).
Of 1,252 potential controls, 603 (48%) participated in the study. Of those remaining, 357 (28%) refused to participate, 153 (12%) were excluded because of language difficulties, and 139 (11%) were unavailable for interview. Of the controls, 25% were ages 16–35 years, 36% were 36–55 years, and 37% were >55 years. This compares with the adult metropolitan Sydney population of 38% ages 16–35 years, 36% 36–55 years, and 28% >55 years (Australian Bureau of Statistics, unpub. data).
The median age of case-patients was 45 years (range 16–88 years). Of the 302 case-patients, 125 (41%) were male, 68 (23%) were admitted to a high dependency or intensive care unit, and 37 (12%) required mechanical ventilation. The median length of hospital stay was 4 nights (range 1–91 nights). Reported risk factors among case-patients included a history of asthma (38%, including 29% who required regular medication), lung disease (19%), diabetes (19%), mental health diagnosis (18%), heart disease (14%), pregnancy (13%), obstructive sleep apnea (12%), immune suppression (10%), neurologic condition (8%), liver disease (8%), kidney disease (3%), blood disorders (5%), and metabolic conditions (1%) (
None of the case-patients reported giving birth in 28 days before symptom onset. Of the 40 patients who were pregnant at the time of symptom onset, 28 (70%) were in their third trimester. Sixty-six (22%) case-patients were current smokers, and 91 (30%) were ex-smokers. Among the 91 ex-smokers, the median time smoked was 20 years (range 1–60 years, median 15 cigarettes/day); 39 reported cessation >5 years prior to illness, 15 patients between 12 months and 5 years, and 37 patients within the past 12 months. Among the 66 current smokers, the median time smoked was 20 years (range 1–60 years; median 10 cigarettes/day) (online Appendix Table).
There were no significant differences in characteristics of case-patients and controls by place of residence, receipt of 2009 seasonal influenza vaccination, or history of neurologic disorders (
In the logistic regression model, age, sex, asthma (requiring regular medication), smoking (current or ex-smoker), heart disease, immune suppression, lung disease, diabetes, and pregnancy were independently associated with hospitalization for pandemic (H1N1) 2009 (
| Patient characteristic | Adjusted OR (95% CI) | p value |
|---|---|---|
| Sex | ||
| F | Referent | |
| M | 1.8 (1.2–2.5) | 0.0017 |
| Age, y | ||
| 16–25 | 5.4 (2.5–11.4) | |
| 26–35 | 4.1 (2.0–8.3) | |
| 36–45 | 3.9 (2.0–7.6) | <0.0001 |
| 46–55 | 5.1 (2.7–9.6) | |
| 56–65 | 1.9 (1.0–2.5) | |
| >65 | Referent | |
| Underlying condition | ||
| Asthma, regular medication | 4.3 (2.7–6.8) | <0.0001 |
| Heart disease | 2.3 (1.2–4.1) | 0.0083 |
| Immunosuppression | 5.5 (2.8–10.9) | <0.0001 |
| Lung disease | 6.6 (3.8–11.6) | <0.0001 |
| Diabetes | 3.8 (2.2–6.5) | <0.0001 |
| Pregnancy | 22.4 (9.2–54.5) | <0.0001 |
| Smoking status | ||
| Nonsmoker | Referent | |
| Current smoker | 2.0 (1.3–3.2) | 0.002 |
| Former smoker | 2.0 (1.3–3.0) | |
| No. significant risk factors | ||
| 0 | Referent | |
| 1 | 3.9 (2.6–5.8) | |
| 2 | 9.3 (5.9–14.6) | <0.0001 |
| 3 | 20.4 (10.4–40.2) | |
|
| 80.3 (10.1–638.7) |
*OR, odds ratio; CI, confidence interval.
In the logistic regression model for women of childbearing age, asthma (requiring regular medication), lung disease, diabetes, and pregnancy were independently associated with hospitalization for pandemic (H1N1) 2009 (
| Patient characteristic | No. (%) case-patients, n = 99 | No. (%) controls, n = 181 | OR (95% CI) | p value | Adjusted OR (95% CI) | p value |
|---|---|---|---|---|---|---|
| Age, y | ||||||
| 16–25 | 28 (28) | 43 (24) | 1.4 (0.8–2.6) | |||
| 26–35 | 37 (37) | 64 (35) | 1.3 (0.7–2.2) | 0.5233 | ||
| 36–45 | 34 (34) | 74 (41) | Referent | |||
| Aboriginal status | ||||||
| Nonindigenous | 95 (98) | 177 (96) | Referent | 0.3864 | ||
| Indigenous | 4 (4) | 4 (2) | 1.9 (0.5–7.6) | |||
| Body mass index† | ||||||
| Underweight (<18.5) | 8 (9) | 9 (5) | 2.8 (1.0–8.0) | |||
| Normal (18.5–24.9) | 31 (33) | 99 (57) | Referent | |||
| Overweight (25.0–29.9) | 15 (16) | 35 (20) | 1.4 (0.7–2.8) | 0.0003 | ||
| Obese 1 (30.0–34.9) | 17 (18) | 18 (10) | 3.0 (1.4–6.6) | |||
| Obese 2 (35.0–39.9) | 10 (11) | 4 (2) | 8.0 (2.3–27.3) | |||
| Obese 3 (>40) | 12 (13) | 8 (5) | 4.8 (1.8–12.8) | |||
| Health condition‡ | ||||||
| Asthma | 46 (46) | 35 (19) | Referent | |||
| No regular medication | 7 (7) | 21 (12) | 0.9 (0.4–2.3) | <0.001 | 10 (4.0–21.0) | <0.0001 |
| Regular medication | 39 (39) | 14 (8) | 7.7 (3.9–15.3) | |||
| Heart disease§ | 0 | 1 (0.5) | <0.001 | 0.9871 | ||
| Kidney disease | 0 | 1 (0.5) | <0.001 | 0.987 | ||
| Mental health problem | 17 (17) | 19 (11) | 1.8 (0.9–3.6) | 0.1139 | ||
| Neurologic problem | 4 (4) | 8 (4) | 0.9 (0.3–3.1) | 0.8809 | ||
| Immunosupression | 1 (1) | 2 (1) | 0.9 (0.1–10.2) | 0.942 | ||
| Obstructive sleep apnea | 10 (10) | 4 (2) | 5.0 (1.5–16.3) | 0.0081 | ||
| Lung disease | 10 (10) | 4 (2) | 5.0 (1.5–16.3) | 0.0081 | 7 (2.0–28.0) | 0.0043 |
| Diabetes | 14 (14) | 2 (1) | 14.7 (3.3–66.3) | 0.0005 | 20 (4.0–103.0) | 0.0003 |
| Metabolic disorder | 1 (1) | 2 (1) | 0.9 (0.1–10.2) | 0.942 | ||
| Liver disease | 5 (5) | 0 | >999.9 | 0.9798 | ||
| Blood disorder | 4 (4) | 8 (4) | 0.9 (0.3–3.1) | 0.8809 | ||
| Pregnancy | 40 (40) | 7 (4) | 16.9 (7.2–39.6) | <0.001 | 28 (11.0–70.0) | <0.0001 |
| Smoking status | ||||||
| Nonsmoker | 53 (54) | 130 (72) | Referent | |||
| Current smoker | 24 (24) | 32 (18) | 1.8 (1.0–3.4) | 0.0057 | ||
| Former smoker | 22 (22) | 19 (11) | 2.8 (1.4–5.7) | |||
| Influenza vaccine in 2009¶ | 20 (20) | 30 (17) | 1.3 (0.7–2.4) | 0.4262 |
*OR, odds ratio; CI, confidence interval. †8 controls and 6 case-patients missing data. ‡Groups are not mutually exclusive. §1 control and 3 case-patients missing data. ¶1 case-patient missing data.
In univariate analysis, compared with controls, case-patients who required mechanical ventilation were more likely to report a history of lung disease, asthma (requiring regular medication), have a higher BMI, be pregnant, have an influenza vaccination in the previous 12 months, and be 26–45 years of age (
| Patient characteristic | No. (%) case-patients, n = 37 | No. (%) controls, n = 603 | OR (95% CI) | p value | Adjusted OR (95% CI) | p value |
| Sex | ||||||
| M | 11 (30) | 207 (34) | ||||
| F | 26 (70) | 396 (66) | 1.2 (0.6–2.6) | 0.5674 | ||
| Age, y | ||||||
| 16–25 | 3 (8) | 61 (10) | 3.7 (0.7–19) | 5.5 (0.7–42.0) | ||
| 26–35 | 11 (30) | 92 (15) | 9.1 (2.5–33.3) | 12.2 (2.5–58.2) | ||
| 36–45 | 12 (32) | 111 (18) | 8.2 (2.3–29.7) | 10.4 (2.3–48.3) | ||
| 46–55 | 8 (22) | 111 (18) | 5.5 (1.4–21.0) | 10.2 (2.3–45.9) | ||
| >55 | 3 (8) | 228 (38) | 0.0114 | 0.0176 | ||
| Aboriginal status | ||||||
| Nonindigenous | 36 (97) | 596 (99) | ||||
| Indigenous | 1 (3) | 7 (1) | 2.4 (0.3–19.7) | 0.426 | ||
| Body mass index† | ||||||
| Underweight (<18.5) | 3 (9) | 15 (3) | 8.6 (2.0–37.9) | 10.6 (1.9–58.9) | ||
| Normal (18.5–24.9) | 6 (17) | 259 (45) | 0.0004 | 0.0022 | ||
| Overweight (25.0–29.9) | 10 (29) | 175 (30) | 2.5 (0.9–6.9) | 3.2 (1.0–10.3) | ||
| Obese 1 (30.0–34.9) | 5 (14) | 79 (14) | 2.7 (0.8–9.2) | 1.8 (0.5–7.4) | ||
| Obese 2 (35.0–39.9) | 5 (14) | 29 (5) | 7.4 (2.1–25.9) | 9.8 (2.4–40.1) | ||
| Obese 3 (>40) | 6 (17) | 21 (4) | 12.3 (3.7–41.6) | 11.6 (2.7–49.3) | ||
| Health condition‡ | ||||||
| Asthma | 13 (65) | 93 (15) | ||||
| No regular medication | 5 (14) | 48 (8) | 2.2 (0.8–6.1) | 0.0061 | ||
| Regular medication | 8 (22) | 45 (7) | 3.8 (1.6–8.9) | |||
| Heart disease§ | 3 (9) | 41 (7) | 1.3 (0.4–4.3) | 0.7136 | ||
| Kidney disease¶ | 1 (3) | 8 (1) | 2.1 (0.3–16.9) | 0.5013 | ||
| Mental health problem | 6 (16) | 49 (8) | 2.2 (0.9–5.5) | 0.0958 | ||
| Neurologic problem | 3 (8) | 42 (7) | 1.2 (0.3–4.0) | 0.792 | ||
| Immunosuppression | 1 (3) | 22 (4) | 0.7 (0.1–5.6) | 0.7655 | ||
| Obstructive sleep apnea | 2 (5) | 23 (4) | 1.4 (0.3–6.4) | 0.6296 | ||
| Lung disease | 6 (16) | 31 (5) | 3.6 (1.4–9.2) | 0.0084 | 8.6 (2.6–28.5) | 0.0005 |
| Diabetes | 5 (14) | 38 (6) | 2.3 (0.9–6.3) | 0.0977 | 4.4 (1.2–15.6) | 0.0383 |
| Liver disease | 2 (5) | 20 (3) | 1.7 (0.4–7.4) | 0.503 | ||
| Pregnancy | 8 (22) | 7 (1) | 23.4 (8.0–69.2) | <0.001 | 40.5 (9.7–168.1) | <0.0001 |
| Smoking status | ||||||
| Nonsmoker | 17 (46) | 372 (62) | 2.4 (1.0–5.5) | 0.0325 | ||
| Current or former smoker | 20 (54) | 231 (38) | 1.9 (1.0–3.7) | 0.0605 | ||
| Influenza vaccine in 2009 | 20 (54) | 202 (34) | 0.3 (0.1–0.8) | 0.0163 |
*OR, odds ratio; CI, confidence interval. †Data missing for 2 case-patients and 25 controls. ‡Groups are not mutually exclusive. §Date missing for 2 case-patients and 12 controls. ¶Data missing for 3 controls.
Of the 603 controls, 113 (19%) reported an influenza-like-illness during the study period. There was no significant difference in underlying risk factors between controls who reported influenza-like-illness and controls who did not report any respiratory symptoms. However, influenza-like-illness was significantly more common among controls aged 16–25 (odds ratio [OR] 3.3, 95% confidence interval [CI] 1.4–7.5, p = 0.005) and 36–45 years (OR 3.0, CI 1.4–6.2, p = 0.004) compared with controls aged >65 years.
Information on the time from onset of illness to medical attention was available for 295 (98%) case-patients. Of these, 238 (81%) reported having
| Patient characteristic | Medical attention within 48 h | OR (95% CI) | p value | |
|---|---|---|---|---|
| Yes, no. (%) patients, n = 235 | No, no. (%) patients, n = 60 | |||
| Sex | ||||
| M | 97 (41) | 24 (40) | ||
| F | 138 (59) | 36 (60) | 1.1 (0.6–1.9) | 0.8576 |
| Age, y | ||||
| 16–25 | 33 (14) | 5 (8) | 1.1 (0.3–4.3) | |
| 26–35 | 44 (19) | 9 (15) | 0.8 (0.3–2.8) | |
| 36–45 | 47 (20) | 11 (18) | 0.7 (0.2–2.3) | |
| 46–55 | 50 (21) | 20 (33) | 0.4 (0.1–1.3) | |
| 56–65 | 32 (14) | 10 (17) | 0.6 (0.2–1.8) | |
| >65 | 29 (12) | 5 (8) | 0.3677 | |
| Aboriginal status | ||||
| Nonindigenous | 229 (97) | 58 (97) | 0.7409 | |
| Indigenous | 6 (3) | 2 (3) | 0.8 (0.1–3.9) | |
| Body mass index† | ||||
| Underweight (<18.5) | 13 (6) | 2 (3) | 1.6 (0.3–7.8) | |
| Normal (18.5–24.9) | 65 (28) | 16 (27) | 0.4457 | |
| Overweight (25.0–29.9) | 67 (29) | 10 (17) | 1.6 (0.7–3.9) | |
| Obese 1 (30–34.9) | 38 (16) | 12 (20) | 0.8 (0.3–1.8) | |
| Obese 2 (35–39.9) | 23 (10) | 6 (10) | 0.9 (0.3–2.7) | |
| Obese 3 (>40) | 19 (8) | 8 (13) | 0.6 (0.2–1.6) | |
| Health condition‡ | ||||
| Asthma | 89 (38) | 24 (40) | 0.3607 | |
| No regular medication | 16 (7) | 9 (15) | ||
| Regular medication | 73 (31) | 15 (25) | 1.4 (0.7–2.6) | |
| Heart disease§ | 31 (13) | 7 (12) | 1.2 (0.5–2.8) | 0.703 |
| Kidney disease | 8 (3) | 2 (3) | 1.0 (0.2–4.9) | 0.9785 |
| Mental health problem | 34 (14) | 17 (28) | 0.4 (0.2–0.8) | 0.0129 |
| Neurologic problem | 14 (6) | 8 (13) | 0.4 (0.2–1.0) | 0.0586 |
| Immunosuppression | 22 (9) | 6 (10) | 0.9 (0.4–2.4) | 0.8803 |
| Obstructive sleep apnea | 26 (11) | 10 (17) | 0.6 (0.3–1.4) | 0.2399 |
| Lung disease | 46 (20) | 11 (18) | 1.1 (0.5–2.2) | 0.828 |
| Diabetes | 48 (20) | 10 (17) | 1.3 (0.6–2.7) | 0.5141 |
| Liver disease | 16 (7) | 5 (8) | 0.8 (0.3–2.3) | 0.6823 |
| Pregnancy | 33 (14) | 7 (12) | 1.3 (0.5–3.2) | 0.6008 |
| Smoking status¶ | ||||
| Nonsmoker | 113 (48) | 26 (43) | ||
| Current or former smoker | 121 (51) | 34 (57) | 0.8 (0.5–1.5) | 0.493 |
| Influenza vaccine in 2009# | 86 (37) | 19 (32) | 1.3 (0.7–2.3) | 0.4507 |
*OR, odds ratio; CI, confidence interval. †Data missing for 10 case-patients who received medical attention within 48 h and 6 who did not. ‡Groups are not mutually exclusive. §Data were missing for 6 case-patients who received medical attention within 48 h. ¶Data were missing for 1 case-patient who received medical attention within 48 h. #Vaccination information was missing for 2 case-patients and 1 control.
We found that pregnancy, lung disease, immune suppression, asthma, diabetes, heart disease, and a history of smoking were associated with hospitalization from pandemic (H1N1) 2009 infection. Among women of childbearing age, pregnancy was the single greatest risk factor for hospitalization, followed by diabetes, history of asthma requiring regular medication, and lung disease. Obesity was not an independent risk factor for hospitalization although it was a risk factor for mechanical ventilation. The majority of case-patients sought medical attention within 48 hours. This study did not identify any particular risk groups that were less likely to seek early medical attention.
Our study was designed to identify risk factors for moderate to severe illness resulting from influenza (as measured by requirement for hospital admission), not risk factors for acquiring influenza. Controls for the study were therefore selected from the community rather than nonhospitalized case-patients. When controls who reported influenza-like-illness were compared with controls without these symptoms, there was no significant difference in risk factors other than age. This finding suggests that apart from age (which is likely to reflect past infection with influenza strains that protected against pandemic [H1N1] 2009) (
Our data are subject to several limitations. First, compared with the adult population in Sydney, controls were older and a higher proportion were women, introducing the possibility of bias if the groups were not otherwise similar. However, our analysis adjusted for age and sex, and the findings were consistent with those of similar studies examining risk factors for seasonal influenza (
Descriptive studies of pandemic (H1N1) 2009 infection have reported obesity, heart disease, diabetes, pregnancy (
Although high rates of pandemic (H1N1) 2009 infection have been reported from indigenous people in other reports (
BMI was not independently associated with increased risk for hospitalization with pandemic (H1N1) 2009. Obesity appears to be a confounder of other risk factors for overweight patients. Of the 58 case-patients with BMI >35 (very obese), 55 (95%) reported
Our study highlights the increased risk of moderate to severe illness from pandemic (H1N1) 2009 for pregnant women and introduces smoking as an independent risk factor for hospitalization from pandemic (H1N1) 2009. In addition, our study provides evidence to support the continuation of influenza prevention efforts (including vaccination) targeted to persons with lung disease, immune suppression, asthma, diabetes, and heart disease. Although Aboriginal status and obesity may not be independent risk factors for severe disease, they indicate the likely presence of other risk factors, and so prevention messages should continue to be directed to these groups.
We thank Kerry Chant, Judy Simpson, and the New South Wales public health network, including laboratory staff.
| Variable | No. (%) case-patients, n = 302 | No. (%) controls, n = 603 | ||
| OR (95% CI) | p value | |||
| Sex | ||||
| F | 177 (59) | 396 (66) | Referent | |
| M | 125 (41) | 207 (34) | 1.4 (1.0–1.8) | 0.0379 |
| Age, y | ||||
| 16–25 | 40 ( | 61 ( | 2.4 (1.4–4.1) | |
| 26–35 | 54 ( | 92 ( | 2.1 (1.3–3.5) | |
| 36–45 | 58 ( | 111 ( | 1.9 (1.2–3.1) | |
| 46–55 | 72 ( | 111 ( | 2.3 (1.4–3.8) | |
| 56–65 | 44 ( | 105 ( | 1.5 (0.9–2.5) | |
| >65 | 34 ( | 123 ( | Referent | 0.007 |
| Area of residence in Sydney | ||||
| South East | 34 ( | 71 ( | ||
| West | 112 (37) | 229 (38) | ||
| South West | 123 (41) | 239 (40) | ||
| North | 33 ( | 64 ( | ||
| Aboriginal status | ||||
| Nonindigenous | 293 (97) | 596 (99) | Referent | |
| Indigenous | 9 ( | 7 ( | 2.6 (1–7.1) | 0.0591 |
| Body mass index† | ||||
| Underweight (<18.5) | 15 ( | 15 ( | 3.0 (1.4–6.5) | <0.0001 |
| Normal (18.5–24.9) | 85 ( | 259 (45) | Referent | |
| Overweight (25.0–29.9) | 77 ( | 175 ( | 1.3 (0.9–1.9) | |
| Obese 1 (30–34.9) | 51 ( | 79 ( | 2.0 (1.3–3.0) | |
| Obese 2 (35–39.9) | 31 ( | 29 ( | 3.3 (1.9–5.7) | |
| Obese 3 ( | 27 ( | 21 ( | 3.9 (2.1–7.3) | |
| Concurrent conditions‡ | ||||
| Asthma | 114 (38) | 93 ( | ||
| No regular medication | 25 ( | 48 ( | 1.4 (0.8–2.4) | <0.0001 |
| Regular medication | 89 ( | 45 ( | 5.4 (3.6–8.0) | |
| Previous hospitalization | 48 ( | 24 ( | ||
| Heart disease§ | 40 ( | 41 ( | 2.1 (1.3–3.3) | 0.0016 |
| Heart failure | 8 ( | 1 ( | ||
| Angina | 10 ( | 7 ( | ||
| Heart attack | 8 ( | 9 ( | ||
| Congenital condition | 6 ( | 4 ( | ||
| Rheumatic fever | 6 ( | 1 ( | ||
| Kidney disease¶ | 10 ( | 8 ( | 2.5 (1.0–6.5) | 0.0522 |
| Renal failure | 5 (50) | 4 (50) | ||
| Dialysis | 3 ( | – | ||
| Transplant or waiting list | 4 (40) | – | ||
| Mental health problem | 53 ( | 49 ( | 2.4 (1.6–3.6) | <0.0001 |
| Neurologic problem | 24 ( | 42 ( | 1.2 (0.7–1.9) | 0.5925 |
| Immunosuppression | 30 ( | 22 ( | 2.9 (1.6–5.1) | 0.0002 |
| Obstructive sleep apnea | 37 ( | 23 ( | 3.5 (2.1–6.0) | <0.0001 |
| Lung disease | 58 ( | 31 ( | 4.4 (2.8–7.0) | <0.0001 |
| Regular medication | 39 (67) | 13 (42) | ||
| Previous hospitalization | 32 (55) | 11 (35) | ||
| Diabetes | 58 ( | 38 ( | 3.5 (2.3–5.5) | <0.0001 |
| Metabolic disorder | 3 ( | 7 ( | 0.9 (0.2–3.3) | 0.8204 |
| Liver disease | 23 ( | 20 ( | 2.4 (1.3–4.4) | 0.0053 |
| Blood disorder | 16 ( | 16 ( | 2.1 (1.0–4.2) | 0.0463 |
| Pregnancy | 40 ( | 7 ( | 13.0 (5.7–29.4) | <0.0001 |
| First trimester | 5 ( | 2 ( | ||
| Second trimester | 7 ( | 3 ( | ||
| Third trimester | 28 (70) | 2 ( | ||
| Smoking status# | ||||
| Nonsmoker | 144 (48) | 372 (62) | Referent | |
| Current smoker | 66 ( | 82 ( | 2.1 (1.4–3.0) | 0.0002 |
| Former smoker | 91 ( | 149 ( | 1.6 (1.1–2.2) | |
| Influenza vaccine in 2009** | 107 (36) | 202 (34) | 1.1 (0.8–1.5) | 0.529 |
*OR, odds ratio; CI, confidence interval. †Groups are not mutually exclusive. ‡Body mass index calculated as weight in kilograms divided by height in meters squared. Data were missing for 16 case-patients and 25 controls. §Data were missing for 6 case-patients and 12 controls. ¶Data were missing for 2 controls. #Data were missing for 2 case-patients and 2 controls. **Vaccination information was missing for 2 case-patients and 1 control.
Ms Ward is an epidemiologist and manager of surveillance in the Communicable Diseases Branch at New South Wales Health. Her research interests include infectious disease outbreak management and response.