Background
Suicide is becoming a public health issue in many countries, and even more so in Korea [
1]. South Korea’s suicide rate has been the highest among OECD countries for over a decade. In 2013, the rate of death by intentional self-harm in South Korea was 29.1/100,000 individuals, which was followed by the rates in Japan, Hungary, and Slovenia at nearly 20/100,000 individuals; the OECD average rate was 12/100,000 individuals [
2]. Meanwhile, one previous study reported that suicidal ideation is the main thought process leading to suicide [
3]. Those who do not envision suicide rarely attempt suicide, whereas 34–42 % of individuals who imagine committing suicide subsequently attempt it [
4]. Hence, it is necessary to approach suicide prevention in terms of prevention and identification of the factors that influence suicidal ideation.
Previous studies to clarify the factors affecting suicidal ideation have generally considered relevant health behaviors (drinking, socioeconomic conditions, internet addiction) and mental health conditions (depression, mood disorders, anxiety) [
5‐
7]. However, there remain many issues and debates related to mental health, and suicidal problems in particular, in South Korea. Therefore, we determined it necessary to address suicidal problems from another perspective. In particular, we focused on suicidal problems related to weight control issues in the overweight and obese population of South Korea. However, few studies have examined how weight status impacts suicidal ideation.
Weight status has been classified as underweight, normal weight, overweight or obese. According to a previous study, weight status was associated with major depression, suicide attempts, and suicidal ideation [
3]. Obesity is an especially important factor affecting mental health [
8,
9]; obese populations have a higher rate of depression and suicidal ideation than that of the normal weight population [
10]. In addition, obesity has been associated with increased morbidity and mortality risks [
11,
12]. For that reason, many obese individuals attempt to lose weight, and weight reduction is an important aspect of obesity treatment [
13]. As a result, weight control is an important issue for the obese population. Given the relationship between obesity and mental health, a study on whether weight control influences suicidal ideation is needed.
Of course, previous studies on suicidal ideation related to weight control exist. However, those studies only focused on adolescents [
14‐
16], while the present study focuses on middle-aged adults. The study was limited to middle-age subjects (40 years or older), because the incidence of many health problems tends to increase during this period [
17]. Also, weight status and mental health problems may be different in middle-aged and older adults compared with younger adults, because functional limitations and medical comorbidities related to aging may lead to weight change and mood changes [
18]. Especially, women usually experienced the menopause in middle-age, which may leads to health risks such as weight gain [
19,
20]. We analyzed the effects of weight control failure on suicidal ideation in the overweight and obese populations and examined the relationship between weigh control failure and suicidal ideation according to income level, household composition, and menopause status.
Results
In our study, a total of 6621 participants were included to assess the association between weight control failure and suicidal ideation (overweight: 2439; obese: 4182). Tables
1 and
2 show the characteristics of the study population by sex. Among the obese population, suicidal ideation was higher in females than males. Suicidal ideation was noted in 195 (9.4 %) males and 432 (20.6 %) females. Similar trends were demonstrated in the overweight population (10.0 % in males, 17.5 % in females). Weight control failure was more frequent in the obese group. Among the obese, weight control failure was higher in females than males (16.3 % in males, 29.6 % in females). Among the overweight, 9.1 % of males versus 23.4 % of females reported that they experienced weight control failure. Notably, subjects in both the obese and overweight populations who experienced weight control failure were more likely to report suicidal thoughts. Regarding subjective body perception, among overweight males, 379 (34.0 %) reported being fat, whereas obese males reported being fat (
n = 1656; 79.6 %). Conversely, most females responded as being fat weight regardless of weight status (64.7 % in overweight, 88.9 % in obese).
Table 1
General characteristics of participants according to suicidal ideation in male
Weight control failure | | | 0.7918 | | | 0.6632 |
No | 1014 (90.9) | 101 (10.0) | | 1741 (83.7) | 161 (9.3) | |
Yes | 102 (9.1) | 11 (10.8) | | 340 (16.3) | 34 (10.0) | |
Age | | | 0.7125 | | | 0.0053 |
40 ~ 49 | 335 (30.0) | 29 (8.6) | | 760 (36.5) | 56 (7.4) | |
50 ~ 59 | 365 (32.7) | 40 (10.9) | | 612 (29.4) | 59 (9.6) | |
60 ~ 69 | 276 (24.7) | 27 (9.8) | | 478 (23.0) | 45 (9.4) | |
≥70 | 140 (12.6) | 16 (11.4) | | 231 (11.1) | 35 (15.1) | |
Education level | | | 0.0523 | | | <.0001 |
Less than middle school | 346 (31.0) | 46 (13.3) | | 659 (31.7) | 91 (13.8) | |
High school graduate | 368 (33.0) | 32 (8.7) | | 697 (33.5) | 62 (8.9) | |
University graduate | 402 (36.0) | 34 (8.5) | | 725 (34.8) | 42 (5.8) | |
Income | | | 0.0021 | | | <.0001 |
High | 370 (33.2) | 23 (6.2) | | 643 (30.9) | 40 (6.2) | |
Middle | 535 (47.9) | 57 (10.6) | | 1030 (49.5) | 89 (8.6) | |
Low | 211 (18.9) | 32 (15.2) | | 408 (19.6) | 66 (16.2) | |
Economic activity | | | 0.0035 | | | 0.0012 |
Employed | 843 (75.5) | 72 (8.5) | | 1658 (79.7) | 138 (8.3) | |
Unemployed | 273 (24.5) | 40 (14.6) | | 423 (20.3) | 57 (13.5) | |
Marital status | | | 0.9428 | | | 0.0297 |
Married | 1097 (98.3) | 110 (10.0) | | 2039 (98.0) | 187 (9.2) | |
Single | 19 (1.7) | 2 (10.5) | | 42 (2.0) | 8 (19.0) | |
Household composition | | | 0.0936 | | | 0.1951 |
First Generation | 354 (31.7) | 34 (9.6) | | 635 (30.5) | 67 (10.5) | |
Two Generation | 624 (55.9) | 57 (9.1) | | 1203 (57.8) | 112 (9.31) | |
Three Generation | 138 (12.4) | 21 (15.2) | | 243 (11.7) | 16 (6.6) | |
Stress awareness | | | <.0001 | | | <.0001 |
Low | 885 (79.3) | 51 (5.8) | | 1610 (77.4) | 92 (5.7) | |
High | 231 (20.7) | 61 (26.4) | | 471 (22.6) | 103 (21.9) | |
Depression mood | | | <.0001 | | | <.0001 |
Absent | 1015 (91.0) | 60 (5.9) | | 1895 (91.1) | 105 (5.5) | |
Present | 101 (9.0) | 52 (51.5) | | 186 (8.9) | 90 (48.4) | |
Alcohol intake | | | 0.4252 | | | 0.2811 |
No | 152 (13.6) | 18 (11.8) | | 259 (12.5) | 29 (11.2) | |
Yes | 964 (86.4) | 94 (9.7) | | 1822 (87.5) | 166 (9.1) | |
Moderate physical activity | | | 0.3373 | | | 0.1114 |
No | 586 (52.5) | 54 (9.2) | | 1061 (51.0) | 110 (10.4) | |
Yes | 530 (47.5) | 58 (10.9) | | 1020 (49.0) | 85 (8.3) | |
Subjective body perception | | | 0.6795 | | | 0.2492 |
Slim & Normal | 737 (66.0) | 72 (9.8) | | 425 (20.4) | 46 (10.8) | |
Fat | 379 (34.0) | 40 (10.5) | | 1656 (79.6) | 149 (9.0) | |
Perceive health status | | | <.0001 | | | <.0001 |
Healthy | 951 (85.2) | 80 (8.4) | | 1750 (84.1) | 118 (6.7) | |
Unhealthy | 165 (14.8) | 32 (19.4) | | 331 (15.9) | 77 (23.3) | |
Year | | | 0.0942 | | | 0.1057 |
2008 | 187 (16.8) | 19 (10.2) | | 364 (17.5) | 42 (11.5) | |
2009 | 254 (22.8) | 35 (13.8) | | 483 (23.2) | 32 (6.6) | |
2010 | 203 (18.2) | 14 (6.9) | | 414 (19.9) | 38 (9.2) | |
2011 | 236 (21.1) | 26 (11.0) | | 438 (21.0) | 48 (11.0) | |
2012 | 236 (21.1) | 18 (7.6) | | 382 (18.4) | 35 (9.2) | |
Total | 1116 (100.0) | 112 (10.0) | | 2081 (100.0) | 195 (9.4) | |
Table 2
General characteristics of participants according to suicidal ideation in female
Weight control failure | | | 0.1292 | | | 0.0239 |
No | 1013 (76.6) | 168 (16.6) | | 1479 (70.4) | 285 (19.3) | |
Yes | 310 (23.4) | 63 (20.3) | | 622 (29.6) | 147 (23.6) | |
Age | | | 0.1454 | | | <.0001 |
40 ~ 49 | 523 (39.5) | 76 (14.5) | | 648 (30.8) | 107 (16.5) | |
50 ~ 59 | 472 (35.7) | 92 (19.5) | | 696 (33.1) | 127 (18.2) | |
60 ~ 69 | 267 (20.2) | 50 (18.7) | | 530 (25.2) | 32 (24.9) | |
≥70 | 61 (4.6) | 13 (21.3) | | 227 (10.9) | 66 (29.1) | |
Education level | | | <.0001 | | | <.0001 |
Less than middle school | 613 (46.3) | 138 (22.5) | | 1275 (60.7) | 310 (24.3) | |
High school graduate | 487 (36.8) | 68 (14.0) | | 613 (29.2) | 90 (14.7) | |
University graduate | 223 (16.9) | 25 (11.2) | | 213 (10.1) | 32 (15.0) | |
Income | | | <.0001 | | | <.0001 |
High | 393 (29.7) | 52 (13.2) | | 479 (22.8) | 74 (15.4) | |
Middle | 662 (50.0) | 106 (16.0) | | 1112 (52.9) | 221 (19.9) | |
Low | 268 (20.3) | 73 (27.2) | | 510 (24.3) | 137 (26.9) | |
Economic activity | | | 0.4947 | | | 0.0074 |
Employed | 657 (49.7) | 110 (16.7) | | 1030 (49.0) | 187 (18.2) | |
Unemployed | 666 (50.3) | 121 (18.2) | | 1071 (51.0) | 245 (22.9) | |
Marital status | | | 0.5919 | | | 0.6217 |
Married | 1310 (99.0) | 228 (17.4) | | 2081 (99.0) | 427 (20.5) | |
Single | 13 (1.0) | 3 (23.1) | | 20 (1.0) | 5 (25.0) | |
Household composition | | | 0.0925 | | | 0.0049 |
First Generation | 391 (29.5) | 82 (21.0) | | 750 (35.7) | 169 (22.5) | |
Two Generation | 779 (58.9) | 125 (16.0) | | 1045 (49.7) | 186 (17.8) | |
Three Generation | 153 (11.6) | 24 (16.0) | | 306 (14.6) | 77 (25.2) | |
Stress awareness | | | <.0001 | | | <.0001 |
Low | 996 (75.3) | 96 (9.6) | | 1503 (71.5) | 179 (11.9) | |
High | 327 (24.7) | 135 (41.3) | | 598 (28.5) | 253 (42.3) | |
Depression mood | | | <.0001 | | | <.0001 |
Absent | 1091 (82.5) | 108 (9.90) | | 1691 (80.5) | 203 (12.0) | |
Present | 232 (17.5) | 123 (53.0) | | 410 (19.5) | 229 (56.0) | |
Alcohol intake | | | 0.7716 | | | 0.1623 |
No | 294 (22.2) | 53 (18.0) | | 468 (22.3) | 107 (22.9) | |
Yes | 1029 (77.8) | 178 (17.3) | | 1633 (77.7) | 325 (19.9) | |
Moderate physical activity | | | 0.6327 | | | 0.8825 |
No | 789 (59.6) | 141 (17.9) | | 1271 (60.5) | 260 (20.5) | |
Yes | 534 (40.4) | 90 (16.9) | | 830 (39.5) | 172 (20.7) | |
Subjective body perception | | | 0.1517 | | | 0.3125 |
Slim & Normal | 467 (35.3) | 91 (19.5) | | 234 (11.1) | 54 (23.1) | |
Fat | 856 (64.7) | 140 (16.4) | | 1867 (88.9) | 378 (20.3) | |
Perceive health status | | | <.0001 | | | <.0001 |
Healthy | 1052 (79.5) | 135 (12.8) | | 1473 (70.0) | 226 (15.3) | |
Unhealthy | 271 (20.5) | 96 (35.4) | | 628 (30.0) | 206 (32.8) | |
Menopause | | | 0.0891 | | | 0.0008 |
Not yet | 588 (44.4) | 91 (15.5) | | 793 (37.7) | 133 (16.8) | |
Yes | 735 (55.6) | 140 (19.0) | | 1308 (62.3) | 299 (22.9) | |
Year | | | 0.0625 | | | 0.0014 |
2008 | 246 (18.6) | 42 (17.1) | | 384 (18.3) | 92 (24.0) | |
2009 | 285 (21.5) | 59 (20.7) | | 476 (22.7) | 115 (24.2) | |
2010 | 258 (19.5) | 48 (18.6) | | 383 (18.2) | 77 (20.1) | |
2011 | 268 (20.3) | 42 (15.7) | | 436 (20.8) | 76 (17.4) | |
2012 | 266 (20.1) | 40 (15.0) | | 422 (20.1) | 72 (17.1) | |
Total | 1323 (100.0) | 231 (17.5) | | 2101 (100.0) | 432 (20.6) | |
Table
3 shows the results of the logistic regression analysis for the association between weight control failure and suicidal ideation after multivariable adjustment. Weight control failure was significantly associated with suicidal ideation in the obese females. Among obese females, those with weight control failure were at 1.70-fold higher risk of suicidal ideation compared with those with weight control success or maintenance (OR = 1.70, 95 % CI 1.21–2.39), but this association was not significant in males of the obese or overweight group. In addition, among obese females, those with a low-income status were at a 2.11-fold higher risk of suicidal ideation compared with those with a mid- to high-income status (OR = 2.12, 95 % CI 1.35–3.32); similar trends were evident in obese males (OR = 1.79, 95 % CI 1.02–3.14). Obese females at menopause were at a 1.65-fold higher risk of suicidal ideation compared with obese females who had not yet reached menopause (OR = 1.65, 95 % CI 1.02–2.65), whereas this association was not significant in overweight females. Stress awareness and depression mood were associated with suicidal ideation among all participants. The Hosmer-Lemeshow test was non-significant (
P = 0.4263 in overweight male group,
P = 0.3487 in overweight female group,
P = 0.3573 obese male group and
P = 0.4730 in obese female group) indicating adequate goodness-of-fit. In addition, All VIFs are below 2, indicating a lack of multicollinearity. The maximum VIF identified in our models was 1.83 (for obese male – age group).
Table 3
Results of multivariable logistic regression analysis for the association between weight control failure and suicidal ideation
Weight control failure | | | | | | | | | | | | | | | | |
No | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Yes | 0.77 | 0.33 | - | 1.80 | 1.54 | 0.91 | - | 2.60 | 1.09 | 0.70 | - | 1.18 | 1.70 | 1.21 | - | 2.39 |
Age | | | | | | | | | | | | | | | | |
40 ~ 49 | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
50 ~ 59 | 1.37 | 0.64 | - | 2.94 | 0.99 | 0.52 | - | 1.86 | 1.19 | 0.68 | - | 2.10 | 0.70 | 0.42 | - | 1.17 |
60 ~ 69 | 1.13 | 0.42 | - | 3.03 | 1.28 | 0.54 | - | 3.04 | 1.27 | 0.57 | - | 2.83 | 1.14 | 0.61 | - | 2.14 |
≥70 | 2.27 | 0.67 | - | 7.75 | 1.45 | 0.59 | - | 3.60 | 1.16 | 0.37 | - | 3.59 | 1.43 | 0.67 | - | 3.05 |
Income | | | | | | | | | | | | | | | | |
High | 1.00 | | - | | 1.00 | | - | | 1.00 | | - | | 1.00 | | - | |
Middle | 0.95 | 0.46 | - | 1.93 | 1.02 | 0.61 | - | 1.71 | 0.86 | 0.52 | - | 1.43 | 1.57 | 1.05 | - | 2.35 |
Low | 1.52 | 0.63 | - | 3.69 | 1.79 | 1.02 | - | 3.14 | 1.57 | 0.86 | - | 2.89 | 2.12 | 1.35 | - | 3.32 |
Education level | | | | | | | | | | | | | | | | |
Less than middle school | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
High school graduate | 0.81 | 0.37 | - | 1.75 | 0.56 | 0.30 | - | 1.02 | 0.77 | 0.47 | - | 1.26 | 0.72 | 0.48 | - | 1.08 |
University graduate | 0.88 | 0.38 | - | 2.01 | 0.55 | 0.29 | - | 1.07 | 0.60 | 0.30 | - | 1.22 | 0.75 | 0.42 | - | 1.35 |
Economic activity | | | | | | | | | | | | | | | | |
Employed | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Unemployed | 1.23 | 0.64 | - | 2.41 | 1.18 | 0.61 | - | 2.27 | 1.29 | 0.83 | - | 2.01 | 0.95 | 0.70 | - | 1.31 |
Marital status | | | | | | | | | | | | | | | | |
Married | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Single | 0.51 | 0.08 | - | 3.36 | 3.06 | 1.00 | - | 9.34 | 2.00 | 0.52 | - | 7.66 | 0.30 | 0.04 | - | 1.99 |
Household composition | | | | | | | | | | | | | | | | |
Two Generation | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
First Generation | 0.94 | 0.45 | - | 1.99 | 0.84 | 0.45 | - | 1.56 | 1.64 | 0.97 | - | 2.80 | 0.93 | 0.63 | - | 1.39 |
Three Generation | 1.33 | 0.58 | - | 3.05 | 0.56 | 0.25 | - | 1.28 | 0.87 | 0.45 | - | 1.70 | 1.22 | 0.79 | - | 1.89 |
Alcohol intake | | | | | | | | | | | | | | | | |
No | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Yes | 1.17 | 0.56 | - | 2.46 | 0.84 | 0.45 | - | 1.56 | 0.95 | 0.59 | - | 1.52 | 1.08 | 0.73 | - | 1.60 |
Stress awareness | | | | | | | | | | | | | | | | |
Low | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
High | 3.93 | 2.24 | - | 6.90 | 3.79 | 2.14 | - | 4.42 | 4.78 | 3.09 | - | 7.40 | 3.35 | 2.45 | - | 4.59 |
Depression mood | | | | | | | | | | | | | | | | |
No | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Yes | 15.08 | 8.20 | - | 27.75 | 10.35 | 6.35 | - | 16.84 | 6.23 | 4.10 | - | 9.49 | 6.86 | 4.91 | - | 9.59 |
Moderate physical activity | | | | | | | | | | | | | | | | |
No | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Yes | 1.28 | 0.55 | - | 1.47 | 0.90 | 0.55 | - | 1.47 | 1.04 | 0.69 | - | 1.56 | 0.88 | 0.63 | - | 1.21 |
Subjective body perception | | | | | | | | | | | | | | | | |
Slim & Normal | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Fat | 1.49 | 0.56 | - | 2.46 | 0.71 | 0.38 | - | 1.30 | 0.97 | 0.62 | - | 1.50 | 0.89 | 0.54 | - | 1.46 |
Perceive health status | | | | | | | | | | | | | | | | |
Healthy | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - | 1.00 | - | | - |
Unhealthy | 1.29 | 0.71 | - | 2.37 | 3.14 | 1.92 | - | 5.13 | 2.29 | 1.42 | - | 3.71 | 1.38 | 1.00 | - | 1.92 |
Menopause | | | | | | | | | | | | | | | | |
Not yet | - | | - | | - | | - | | 1.00 | - | | - | 1.00 | - | | - |
Yes | - | | - | | - | | - | | 1.24 | 0.73 | - | 2.11 | 1.65 | 1.02 | - | 2.65 |
Year | | | | | | | | | | | | | | | | |
2008 | 1.00 | | | | 1.00 | | | | 1.00 | - | | - | 1.00 | - | | - |
2009 | 1.35 | 0.54 | - | 3.33 | 0.39 | 0.20 | - | 0.77 | 0.70 | 0.35 | - | 1.40 | 0.90 | 0.58 | - | 1.41 |
2010 | 0.95 | 0.40 | - | 2.26 | 0.63 | 0.33 | - | 1.22 | 1.14 | 0.61 | - | 2.13 | 0.91 | 0.55 | - | 1.52 |
2011 | 1.31 | 0.50 | - | 3.41 | 1.20 | 0.67 | - | 2.17 | 0.97 | 0.51 | - | 1.84 | 0.51 | 0.31 | - | 0.83 |
2012 | 1.25 | 0.47 | - | 3.31 | 0.86 | 0.41 | - | 1.82 | 0.84 | 0.43 | - | 1.64 | 0.64 | 0.39 | - | 1.08 |
Hosmer-Lemeshow test | |
P = 0.4263 | |
P = 0.3487 | |
P = 0.3573 | |
P = 0.4730 |
The subgroup analysis results are shown in Table
4. Subgroup analysis showed significant differences in each group, even though modifying effects were not significant in the tests for interaction. Among obese males and females, those who had experienced weight control failure showed a trend towards a greater magnitude of suicidal ideation if they were of low, but not high, income status. Among obese females, there was a trend towards a greater magnitude of suicidal ideation if they lived on their own or in a two-generation household, but not if they lived with more family members. Among obese females experiencing menopause, those who had experienced weight control failure showed a trend towards a greater magnitude of suicidal ideation.
Table 4
Results of subgroup analysis for the relationship between weight control failure and suicidal ideation by income, household composition, or menopause
Income | Weight control failure | | | | | | | | |
High | No | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
Yes | 0.33 | 0.07 | - | 1.54 | 0.52 | 0.13 | - | 2.11 | 0.80 | 0.31 | - | 2.03 | 1.65 | 0.65 | - | 4.24 |
Middle | No | 1.00 | | | | 1.00 | | | | | | | | 1.00 | | | |
Yes | 1.86 | 0.69 | - | 5.03 | 1.37 | 0.66 | - | 2.88 | 1.17 | 0.61 | - | 2.23 | 1.67 | 1.08 | - | 2.60 |
Low | No | 1.00 | | | | 1.00 | | | | | | | | 1.00 | | | |
Yes | 0.22 | 0.02 | - | 2.74 | 2.27 | 0.89 | - | 5.81 | 1.10 | 0.42 | - | 2.90 | 1.87 | 1.00 | - | 3.72 |
Household composition | Weight control failure | | | | | | | | | | | | | | | | |
One generation | No | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
Yes | 0.63 | 0.13 | - | 3.03 | 0.62 | 0.20 | - | 1.95 | 0.74 | 0.28 | - | 1.99 | 1.88 | 1.08 | - | 3.25 |
Two generation | No | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
Yes | 1.29 | 0.52 | - | 3.17 | 2.46 | 1.32 | - | 4.57 | 1.19 | 0.66 | - | 2.13 | 1.64 | 1.02 | - | 2.62 |
Three generation | No | 1.00 | | | | 1.00 | | | | 1.00 | | | | 1.00 | | | |
Yes | 0.12 | 0.01 | - | 1.74 | 2.26 | 0.29 | - | 17.60 | 2.01 | 0.22 | - | 18.1 | 1.05 | 0.42 | - | 2.62 |
Menopause | Weight control failure | | | | | | | | | | | | | | | | |
Not yet | No | - | - | | - | - | - | | - | 1.00 | | | | 1.00 | | | |
Yes | - | - | | - | - | - | | - | 1.31 | 0.68 | - | 2.53 | 1.58 | 0.90 | - | 2.80 |
Yes | No | - | - | | - | - | - | | - | 1.00 | | | | 1.00 | | | |
Yes | - | - | | - | - | - | | - | 0.91 | 0.47 | - | 1.76 | 1.80 | 1.18 | - | 2.75 |
Discussion
South Korea currently has many public health issues. Among OECD members, Korea has ranked first in suicide rate for 11 years. The mortality rate from suicide increased rapidly from 22.6 % in 2003 to 28.5 % in 2013, making suicide the fourth leading cause of death in Korea [
27]. In addition, the prevalence of obesity has continued to increase over the last 10 years, resulting in lifestyle changes. Obesity has become a serious national problem and is no longer a concern only in Western countries [
28,
29]. Considering that these issues remain a concern and that obesity is an important factor affecting mental health, it is necessary to design effective strategies to prevent and manage suicidal ideation among the overweight and obese populations.
We found that weight control failure was significantly associated with suicidal ideation among obese females, whereas this association was not significant in obese males or overweight populations after multivariable adjustment. This finding can be explained by weight stigma. Weight stigma has been described as negative weight-related attitudes and beliefs. Obese individuals are often highly stigmatized [
30], and obese females experience weight stigma more than do obese males [
31,
32]. Weight stigma experiences were significantly related to depressive symptoms, decreased self-esteem and suicidality [
33,
34]. Obese females in particular may be more vulnerable to the societal standards of beauty and obesity stigma compared with males, thereby degrading mental health. Hence, weight control failure among obese females may affect experience with weight stigma, thereby deteriorating psychological wellbeing, and in particular, suicidal ideation.
Our findings suggests that efforts to reduce the high suicide rate should target obese females. Considering that the prevalence of obesity is high among middle-aged women and that the age-specific obesity rate in Korean females has recently increased sharply, obese females are an important target group for intervention [
35]. Despite its issues remain a concern, programs to resolve issues are rare. From our findings, therefore, we suggest that suicide prevention programs need to focus on supporting obese females, such as encouraging physical activity, and supporting enrollment in weight control programs. In Korea, most weight control programs for obesity are focused on children. Despite positive outcomes, the few programs focusing on obese females experienced limitations such as barriers in the recruitment and retention of participants [
36]. Therefore, policy makers should develop strategies for participants’ continuous participation using effectiveness tools, such as telephone counseling and mobile phone SMS messages [
37]. Such support can improve not only the mental but also the physical health of obese females.
In addition, our subgroup analysis indicated that menopause, household composition, or low income potentially affect the association between weight control failure and suicidal ideation, even though the modifying effect was not significant. The overall trends seen among our findings have serious implications for the management of suicidal ideation. Several studies offer potential explanations. Regarding menopause, females may experience weight gain during the peri-menopausal to post-menopausal period, and this weight gain may exacerbate the changes in health risk factors that appear during menopause [
20,
38]. For that reasons, obese females may experience the weight gain. Thus, policy makers should consider health policy providing hormone injections for women experiencing menopause. Regarding household composition, previous studies reported that family members and support networks including parents, spouses, and friends can increase the effectiveness of weight control in obese populations. Such support networks would be most effective in eradicating negative attitudes and bias regarding weight [
39,
40]. Therefore, policy makers should consider programs utilizing family and a support network, it could help weight control in obese populations.
Meanwhile, we found a gradient in suicidal ideation by socio-demographic factors such as education, income, and employment status in both males and females. More disadvantage males and females were more likely to report suicidal ideation, in particular obese females. Few studies offer potential explanations by focusing relationship between socioeconomic gradient and obesity. Which relationship was well established through previous studies [
41,
42]. For example, because higher socioeconomic groups tend to have a healthier diet, higher educational attainment, income and occupational status were associated with lower risk of obesity. In addition, studies suggests that the relation between socio-economic inequality and obesity is stronger among females than among males [
43,
44]. On the other hands, obese females are socially and economically disadvantaged [
45]. They are less likely to practice the healthy dieting thereby increasing the weight. Therefore, weight gain and unhealthy dietary practices due to socio and economic disadvantage in women may lead to more weight control failure and weight stigma, thereby exacerbating the mental health. Meanwhile, few studies has shown an inverse results between socioeconomic status and obesity [
46,
47]. These studies found that high education attainment or high income was related to prevalence of obesity in females. Based our results and previous studies, the relationship between social gradient and suicidal ideation among obese population are not currently, because studies on those relationship is less well established. Therefore, further studies on those findings are needed.
This study has several strengths compared with previous studies. First, the study used a large representative sample, and data were collected from a nationally representative population. Second, to our knowledge, our study is the first to report on the relationship between weight control failure and suicidal ideation among obese populations. Previous studies focused only on the relationship between weight-based stigmatization or obesity and mental health in adolescents. Finally, our study focused on the cause of suicidal ideation among overweight and obese populations.
However, there were also several limitations. First, the present study was unable to identify a causal relationship between weight control failure and suicidal ideation, because the study design was cross sectional, and information was obtained via self-report. Second, our subgroup analysis findings are limited with regard to the interpretation of the results, because the modifying effect was not significant, although the findings showed significant differences in each group. Therefore, other studies are needed to confirm our findings. Third, we did not investigate the reasons behind weight control failure and change in weight. Furthermore, we did not consider various factors related to weight change, such as food intake volume, exercise frequency and exercise intensity. Fourth, we could not accurately measure suicidal ideation, because the question pertaining to suicidal ideation required only a “yes” or “no” answer. In addition, we could not accurately assess weight control failure, because the answers were subjective. Therefore, self-reporting of the respondents could have led to an underestimation of the actual relationship between weight control failure and suicidal ideation.
Despite the limitations, this is the first study to investigate the association between weight control failure and suicidal ideation among obese and overweight Koreans. Considering that the high prevalence of suicide and the increasing prevalence of obesity in Korea, our findings are important for health policy makers to identify solutions for controlling suicide problem.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
YJ managed and analyzed data and wrote the manuscript. YJ and KT contributed to analysis the data and manuscript writing. TH, WR, and JH provided intellectual input for the development of the manuscript. EC designed and supervised the present study. All member contributed to the implementation and quality assurance of the study. All authors read and approved the final manuscript.